# Adaptive compression of feedback channel based on second order channel statistics

FIELD: radio engineering, communication.

SUBSTANCE: method involves determining individual statistics for a plurality of channel tap coefficients of a communication channel between a transmitting station and a receiving terminal; and individually quantising said plurality of channel tap coefficients at corresponding quantisation bit rates which are determined based on said statistics to generate quantised channel tap coefficients, wherein the total number of bits allocated to said plurality of channel tap coefficients is fixed; and transmitting said quantised channel tap coefficients from the receiving terminal to the transmitting station.

EFFECT: implementing methods of compressing channels status feedback, which are adapted for different channel tap distributions.

52 cl, 11 dwg

**Prior art**

The present invention relates generally to the transmission of feedback of channel status in a mobile communication network and, more specifically, to a method and apparatus for compression of a feedback channel status of the adaptive method.

The use of multiple antennas at the transmitter and/or receiver in wireless communication systems has attracted considerable attention over the past decade due to the potential for improvements in both the network connection and data transfer speeds. Unlike systems with a single antenna, where the information of the channel status does not improve significantly the bandwidth, a significant increase in throughput can be achieved in systems with multiple antennas, when the exact status of the channel is available to the transmitter. In the system, based on the multiplexing frequency division multiplexing (FDD), the receiver will typically throw in the channel feedback information of the channel status at the transmitter. Although the assumption of perfect information about the state of the channel at the transmitter is unrealistic due to the bandwidth limitations imposed on the feedback channel, and the associated delay, caused by the presence of a signal in the forward and reverse directions, it was shown that even partial knowledge of the channels on the lane which the sensor can provide a significant increase in throughput compared with systems which do not take into account the information of the channel status. However, the feedback information of the channel status spends useful bandwidth of the reverse link. Consequently, there is considerable interest in designing effective ways to reduce the amount of feedback information of the channel status without a significant expenditure of bandwidth of the reverse link.

One approach to feedback channel status uses unstructured block or vector quantizers (VQ) in order to reduce the feedback information of the channel status. Although, in theory, unstructured VQ can achieve the best achievable compression ratio, the complexity of unstructured VQ grows exponentially with the product of the size on the speed. For example, in a MIMO system with 4 transmit and 2 receiving antennas the size of unstructured VQ proposed in the literature, can reach the value of 4*2*2 (real and imaginary parts of each factor report channel)=16. Requirements for storage resources and computing resources applicable to large unstructured VQ, can be prohibitive in practical application for permission quantization (or initial velocity encoding), which is achieved acceptable accuracy.

C is from about computational complexity, another problem unstructured VQ is their inability to adapt to different channel statistics. Most of the proposed technologies quantization to compress the feedback channel status suggest that reports of the MIMO channel with independent and identically distributed (IID) according to the spatial dimensions. In practice, however, the statistical distribution of the MIMO channels are often highly correlated spatial and frequency. The quantizer VQ designed based on the IID-assumption may not provide the desired performance for a wide range of channel statistics, which are usually derived in wireless environments.

On the other hand, the design of unstructured VQ to take into account all the possible distribution of reports channel, at the same time, maintaining a reasonable accuracy of quantization is not practical.

Accordingly, a need exists for methods of compression feedback channel status, which can be adapted for different distributions report channel, at the same time, maintaining acceptable accuracy and complexity.

**The invention**

The present invention relates to a method and apparatus for providing in the form of feedback information about the channel using adaptive vector kantovatelja and device using channel statistics of the second order (for example, variance) to compress the feedback of the instantaneous characteristic of spatially correlated MIMO channel. Many low-dimensional vector quantizers (VQ) with different resolution (or speeds) quantum different Kompleksnye odds of reporting channel. The resolution of each VQ is chosen adaptively, based on the dispersion of the report channel. When using different resolutions quantization for reporting channel with different significance, the distribution of points quantization can be done similar to the distribution corresponding to the optimal unstructured VQ designed for a specific channel statistics, which leads to near-optimal performance with much lower complexity in terms of computation and storage.

In one typical embodiment, the embodiment as concise feedback of the instantaneous channel characteristics and channel statistics serves as feedback to the transmitter. Compressed feedback of the instantaneous channel characteristics is provided as the inverse of the fast feedback channel. Channel statistics served as feedback to the transmitter over a slow feedback channel through which information from the receiver is sent back significantly less often, che is on the fast feedback channel. In alternative embodiment is useful when the noise spectrum is relatively flat across the frequency spectrum, all or part of the required channel statistics can be computed directly on the transmitter, based on the assumption that the statistics of the forward and reverse channels are reciprocal.

In some embodiments embodiment, the feedback channel can be converted to another area before the quantization of the channel estimate. For example, in a variant embodiment, which is suitable for systems MIMO-OFDM, channel characteristics estimated in the frequency domain can be converted into reports of channel time domain. Channel estimation is a temporary area that fall within a predefined range of delays, are selected and then further converted to the spatial dimension in their area. The resulting transformed coefficients quanthouse individually using quantizers with different speeds (or permissions), adaptive computed in accordance with the variances of the transformed coefficients.

Feedback of channel status is decoded by the transmitter, using a codebook quantization for the respective speeds (or permissions) to obtain estimates of the transformed coefficients, i.e. quantized transformed to the rates. Rate or resolution of each quantizer is calculated in the same way as in the receiver based on the relative variance of the corresponding transformed coefficient. Subsequently, the inverse transform is applied to the quantized transformed coefficients to obtain quantized version of the channel characteristics of the frequency domain. Based on this information about the channel can be calculated in the transmitter optimal corrector pre-coding per each stream of encoding speed and/or quality indicator channel (CQI) for each frequency.

**Brief description of drawings**

Figure 1 - illustration of a typical communication system.

Figure 2 - illustration of a typical communication system using the adaptive scheme feedback.

Figure 3 - illustration of a typical communication system using the adaptive scheme feedback.

Figure 4 illustrates a typical method for encoding feedback on the quality of the channel in accordance with one embodiment.

Figure 5 illustrates a typical method of decoding feedback on the quality of the channel in accordance with one typical version of implementation.

6 is an illustration of a typical encoder feedback for OFDM systems.

7 is an illustration of a typical decoder feedback for OFDM systems.

Fig - illustration of obichnogo processor conversion for encoder feedback OFDM, shown in Fig.6

Fig.9 illustrates a typical processor transforms for decoder feedback OFDM shown in Fig.7.

Figure 10 - illustration of the operating characteristics for MIMO system according to the present invention.

11 is an illustration of performance for the adaptive feedback scheme, illustrated in Fig.6. and 7.

**Detailed description**

Referring now to the drawings, a typical variants of the embodiment of the present invention are described in the context of communication system 10 with multiple antennas is shown in figure 1. Communication system 10 with multiple antennas may, for example, contain a system with multiple inputs and single output (MISO) or a system with multiple inputs and multiple outputs (MIMO). Specialists in the art should, however, be understood that the principles illustrated disclose variants of the embodiment can be applied to other types of communication systems.

Communication system 10 with multiple antennas includes the first station 12, the transmission signal over the communication channel 14 to the second station 16. The first station 12 is referred to here as the transmitting station while the second station 16 is referred to here as the receiving station. Specialists in the art will take into account that each of the first station 12 and the second station 16 may include a transmitter and receiver for Duna yavlennoi communication. Communication from the transmitting station 12 to the receiving station 16 is called the descending line. Communication from the receiving station 16 to the transmitting station 12 is called the ascending line. In one typical embodiment, the transmitting station 12 is a base station in a wireless communication network, and receiving station 16 is a mobile station. The present invention can be used, for example, for data transmission from the base station 12 to the mobile station 16 through the channel of high-Speed Packet Data downlink (HSPDA) in WCDMA systems.

Transmitting station 12 transmits signals from multiple antennas at the receiving station 16, which may include one or more receiving antennas. Unlike systems with a single antenna, which uses the same antenna as the transmitting and receiving stations 12 and 16, the increase in throughput of the system can be implemented, if the transmitting station 12 has detailed information about the channel characteristics of channel 14 from the transmitting station 12 to the receiving station 16. The receiving station 16 calculates channel estimation 14 from the transmitting station 12 to the receiving station 16, and transmits the feedback channel status to the transmitting station 12 through the feedback channel 18. However, providing feedback information about Kahn the Les from the receiving station 16 to the transmitting station 12 consumes useful bandwidth of the reverse link, which could otherwise be used to migrate user data. In systems with multiple antennas amount of feedback of channel status increases sharply with the number of pairs of transmitting and receiving antennas.

Figure 2 explains the typical transmitter 100 a transmitter 12 and a receiver 200 of the receiving station 16. The receiver 200 uses a technique of vector quantization to reduce feedback of channel status. For clarity, it is assumed that the communication system 10 employs multiple antennas at the transmitting station 12 and a single antenna at the receiving station 16. The described principles fully apply to the multiple antennas of the receiving station 16.

Transmitting station 12 (e.g., base station) transmits signalsgenerated by the processor 102 of the transmitted signals at the receiving station 16 (e.g., mobile station). There are M channels downlink (one from each transmitting antenna). Channels downlink from the transmitting station 12 to the receiving station 16 is assumed to be linearly invariant in time channels with a channel characteristic of g_{m}(t) in the time domain and G_{m}(f) in the frequency domain. Osnovopolozhniki signal r(t), adopted at the receiving station, is:

Equation 1 |

where * denotes convolution, and v(t) - noise baseband frequencies. m-th channel downlink can be modeled as:

Equation 2 |

where a_{m,k}channel coefficients of the channel from the m-th antenna and τ_{to}delay. The tool 204 channel estimation at the receiving station 16 generates a score channel downlink in accordance with the following:

Equation 3 |

where m=1,...,M, and T is the sampling interval used for quantization of the delay τ_{to}. Note that for Q in equation 3 it is not necessary to be equal To in equation 2. Channel estimationfeature processor 202 of the received signal for demodulation of the received osnovopolozhnika signal r(t). Additionally, channel estimationentered in the encoder 206 feedback. Encoder feedback 206 receives channel estimatesfrom the tools 204 channel estimation, quantum channel coefficients
and delivers the quantized channel coefficients as feedback to the transmitting station 12.

The estimated channel characteristic of the channel downlink from one transmitting antenna can be conceptually related to a discrete time filter with finite impulse response Q with non-zero coefficients of the report, for example:

Equation 4 |

where m=1,...,M. Therefore, the problem of transmissionto the transmitting station 12 is equivalent to the problem of transmission.

An implementation option, shown in figure 2, uses adaptive quantization, which assigns more bits more significant reports channel and fewer and less significant reports channel. Distribution of bits adaptively calculated on the basis of long-term statistics report channel, such as the relative power or variance reporting channel to a predefined measure distortion reaction of the resulting quantized channel characteristics was minimized for the total number of available bits. There are two logical feedback channel: channel 18a feedback with low soon the TEW (slow feedback channel), to send feedback allocation of bits and more high-speed channel 18b feedback (fast feedback channel) transmission as a feedback of the quantized coefficients of the report channel. In this embodiment, the channel statistics (e.g., variance reports channel) collect before quantization. Information regarding the number of bits allocated for quantization of each report signal periodically sent back to the transmitting station 12 through the slow channel 18a feedback. Information regarding the quantized version (according to the current allocation of bits) of the assessment for each particular realization of the channel periodically sent back through the fast channel 18b feedback.

The encoder 206 feedback includes many multi-speed or variable-speed vector quantizer 212, the tool 214 calculate metrics and management tool (controller) 216 speed. Variable-speed vector quantizers 212 on an individual basis quantum channel coefficients for each channel 14. Rate or resolution of each quantizer 212 is selected individually on the basis of statistics that report the channel. The tool 214 compute the metric calculates statistics, such as variance, each report channel of each channel 14 and delivers with whom atistic report channels on the controller 216 speed. In this variant embodiment of the channel statistics to calculate quantization. The controller 216 speed determines the number of bits allocated to each quantizer 212. The number of bits allocated to the quantizer 212 corresponds to the speed or the resolution of the quantizer 212. Quantized channel coefficients are transmitted to the transmitting station 12 rapid channel 18b feedback. The allocation of bits specified by the controller 216 speed, served as feedback to the transmitting station 12 over a slow link 18a feedback. In an alternative embodiment, the controller 216 can provide feedback channel statistics from the tools 214 calculate metrics, and bit allocation can be calculated from these statistics at the transmitting station 12.

The decoder 104 feedback to the transmitting station 12 includes multiple decoders 110 quantization and the controller 112 speed. The decoders 110 quantization form of assessment quantized channel coefficients based on the received bits taken rapid channel 18b feedback. Decoding speed or resolution is determined by the controller 112 speed based on the feedback bit allocation controller 216 speed in the receiving station 16. In an alternative embodiment, the controller 216 speed in the receiving station 16 could PR is to deliver feedback from the statistical metric from 214 compute the metric, and the controller 112 of the speed of the transmitting station 12 could calculate the appropriate allocation of bits.

Figure 3 explains an implementation option, which eliminates the slow channel 18a feedback. The same reference numbers are used in figure 2 to designate the same components. In the embodiment shown in Figure 3, the transmitting station calculates the channel statistics channel uplink communication, which is the same as the statistics for channel downlink, and determines the allocation of the bits of the channel statistics. In this case, the channel statistics are collected after quantization, so that the same statistics could be formed both in the transmitting station 12 and receiving station 16. Specialists in the art should understand that the metrics used to calculate distributions of bits in the current period, the speed control will be used to determine the distribution of bits in the next period of the speed control. The tool 214 compute the metric calculates statistics, such as variance) for each report channel based on quantized channel coefficients. Variance or other statistical indicators are fed to the controller 216 speed, which determines the allocation of bits for variable-speed, etc) is REGO quantizer 212. The decoder 104 feedback to the transmitting station 12 receives the quantized channel coefficients. The tool 214 compute the metric uses the quantized channel coefficients adopted in the current period, speed control, to calculate the distributions of bits for the next period of the speed control. Distribution of bits calculated in the previous period speed control, used by the decoder quantization to determine estimates of the quantized channel coefficients.

In variants of the implementation shown in figure 2 and 3, the allocation of bits for Q report channel can be calculated so that the average squared difference between the estimated channel characteristic and its quantized version was minimized, as described below. Letanddenote the real and imaginary parts of the estimated report of the channel, respectively, and letdenote the k-th vector of the report channel. Let Q_{k}(·) denote the vector quantizer 212 dimension 2M with N_{k}points quantization is used to quantize. Source encoding speed Q_{k}(.) is defined asthat means the number of bits allocated for each quantization (destvitelnogo the item).
The goal is to find an optimal vector distribution of bits R=(R_{1},R_{2},...,R_{Q}in order to minimize the sum of mean square distortion for all reports channel, specified as:

Equation 5 |

The distortion D(R_{k}to report channel is:

Equation 6 |

The above optimization problem is difficult for an exact solution, since the distortion D(R_{k}) is a strongly nonlinear function of R_{k}. However, a good approximate solution can be derived using an asymptotic formula Bennett-Enthusiasm-Gersho (Bennet-Zador-Gersho) for D(R_{k}defined as:

Equation 7 |

where k=1,2,...,Q - dispersion vector of the reportchannel**,**and γ_{k}- the amount depending on the total density Pk(·) the probability for theand some of the design characteristics of the quantizer Q_{k}(·). Substitution of equation 7 into ur the imposition of the 5 reveals,
what components of the optimal vector R that minimizes D(R), are defined as:

Equation 8 |

for k=1,2,...,Q. the Memberindicates the average number of bits allocated to each vector the report channel.

Assuming thatidentically distributed for all k except their dispersions (for example,for all k for some normalized density functions p(x)) and that the quantizers {Q_{k}(.)} for all k have the same structural characteristics, then {γ_{k}} identical for all k. In this case, equation 8 simplifies to:

Equation 9 |

for k=1,2,...,Q.

In order to quantize the coefficients of the report of the channel at different speeds according to their variances, the receiving station 16 and the transmitting station 12 should remain respectively encoders 206 and the decoder 104 multiple quantizers with different initial velocity encoding. The velocities calculated using equation 9, and may not correspond exactly to the available speeds can be done is be certain the operation of rounding in the calculation of velocities {R_{
k}}. To ensure that the final speed after rounding will not exceed the capacity of the channel 18 feedback, you can calculate the speed for reporting channel sequentially, as

Equation 10 |

where k=1,2,...,Q anddenotes the approximation of R_{j}due to rounding. It may be noted that where=R_{j}for all j=1,2,...,k-1, R_{k}calculated according to equations 9 and 10 will be the same. To ensure good performance, it is preferable to calculate the velocity in the descending order of the respective dispersions report channel and to use rounding in a big way in order for the dominant reporting channel was provided a sufficient number of bits.

The calculation of the distributions of bits in accordance with equations 8 and 9 represents one typical embodiment of the invention, which is based on the ratio of the standard deviation of each report channel to the geometric mean of the standard deviation of all reports channel. Other variants of the invention include the calculation of distributions of bits on the basis of the arithmetic mean of some function of the dispersions of the report is the anal, in accordance with the following:

Equation 11 |

where k=1,2,...,Q anddenotes the set of monotonically increasing functions. For example, when f_{k}(x)=log(γ_{k}x)/2, equation 11 is identical to equation 8. Alternatively, when f_{k}(*x*)= for all k, the bit allocation is calculated on the basis of the relative values of the standard deviation of each report channel relative to the average standard deviation.

More generally, if s denotes some long-term statistics about channel characteristics (for example, in the preferred embodiment,the calculation of the distributions of bits for various reports channel can be expressed as:

Equation 12 |

where k=1,2,...,Q and_{k}(·)denote some function of the distribution of bits designed for the k-th report channel. Equation 12 can be calculated sequentially in accordance with the following:

b> Equation 13 |

where k=1,2,...,Q anddenotes the approximation of R_{j}due to rounding.

As mentioned above, for the implementation of the invention, in the transmitting station 12 and receiving station 16 must be implemented multiple encoders and decoders with different speeds and levels of distortion so that the quantization levels can be provided according to the measured statistics. Alternatively, you can use a single vector quantizer tree structure (TSVQ)to provide different levels of quantization. The TSVQ encoder for keeps b-tree encoding of hyperplanes depth d-1, i.e. each node of the tree, indexed by a sequence of bitscorresponds to the normal (column) vector pb a multidimensional hyperplane and threshold value. For example, the depth of the tree can be chosen as d=2MQR. Having a (valued) vector report channel, the encoding process starts with the root node of the tree with the corresponding hyperplaneand calculates:

Equation 14 |

where q_{1}(x) means one bit is th scalar quantizer,
the output of which is equal to one if x 0, or zero if x0. At the next level encoder 206 calculates:

Equation 15 |

using the hyperplanethat corresponds to the value ofThe encoder 206 repeats this process on subsequent levels and calculates:

Equation 16 |

where b=(b[1],b[2],...,b[n-1]), until then, until it reaches the number of bits R_{k}allocated for quantization. At this time, the encoder 206 outputs a sequence of bits R_{k}(b[1],b[2],...,b[R_{k}]) for vector reportchannel.

Receiving encoded bit sequence (b[1],b[2],..., b[R_{k}]), the decoder 104 TSVQ generates quantized reportchannel wood-based decoding depth b whose nodes at each level contain quantized reports channel with an appropriate level of quantization. The hyperplane used at each level depends on output bits, computed at the previous levels. In addition, the hyperplanes used in TSVQ (along with the corresponding tree decoding quantized vectors),
created to fit a statistical distribution.

In a practical communication system reports channel may slowly change from one point in time feedback to the other. Thus, it can be used for differential quantization report channel. In this case, the described principles can work in combination with any scheme of differential quantization to quantize changes in the reporting of the channel from one time to another.

The principles of the present invention can be applied to systems based on the multiplexing orthogonal frequency division multiplexing (OFDM). In the OFDM system adopted osnovopolozhniki signal frequency domain can be modeled as:

Equation 17 |

where k=1,2,..., N, H_{f}[k] - matrix of n_{R}×n_{T}denoting the channel characteristic of MIMO, r[k] is the received signal, s[k] is the transmitted signal and w[k] is the noise and interference component at the frequency of the k-th subcarrier in the OFDM wireless communication system with n_{T}transmitting antennas and n_{R}receiving antennas, respectively. Noise component W[k] are assumed statistically independent of frequency, but its covariance matrix, known what I**
R**_{w}*E*{**w**[k]**w**[k]^{H}}may vary with frequency, where*E*{•} denotes the expected value inside the parentheses.

The receiving station 16 estimates the channeland variancenoise. Channel characteristic corresponding to the conversion to white noise, is defined as:

Equation 18 |

where k=1,2,..., N. We assume that certain statistics of the second order byavailable at the transmitting station 12. For example, channel second order statistics may be collected at the receiving station 16 by averaging over many realizations observed during a certain period of time, and then sent to the transmitting station 12 over a slow feedback channel 18a, as previously described. Alternatively, when the noise spectrum is relatively flat, at least part of the channel statistics can also be computed directly at the transmitting station 12, using the property of vzaimoobyazannosti channel statistics on forward and reverse channels 14.

Figure 4 illustrates a typical method 50 is performed by the encoder 206 feedback to encode kanalni the assessments in accordance with one embodiment. The encoder 206 feedback receives channel estimates from the means 204 channel estimation and calculates statistics, such as variance) for each of the channel coefficients (step 52). The controller 216 speed defines the speed for the corresponding set of multi-quantizers 212 based on the channel statistics (step 54). Multi-speed quantizers 212 further on an individual basis quantuum respective channel coefficients at the speed specified by the speed controller is based on the statistics of the channel coefficients (step 56). In some embodiments, implementation, statistics, calculated before quantization for the current period of the speed control, is used to determine the initial velocity encoding. In other embodiments, implementation, statistics are computed after quantization for the current period of the speed control, is used to determine the initial velocity encoding for the next period of the speed control.

Figure 5 illustrates a typical method 60 performed by the decoder 104 feedback for decoding the channel estimates, according to one typical variant implementation. The controller 112 of the speed of the decoder 104 feedback determines the initial speed of coding for multiple decoders 110 quantization**.**The decoders 110 quantization decode next channel the assessment,
using the velocity defined on the basis of the feedback bit allocation from the speed controller (step 64). In some embodiments, the implementation of the speed can be determined on the basis of feedback distributions bits or channel statistics from the encoder 206 feedback (step 62). In other embodiments, implementation, statistics are calculated for the current period speed control based on feedback of the quantized estimate of the channel can be used in a subsequent period, the speed control to determine the speed for decoders 110 quantization.

6 illustrates a typical encoder 300 feedback to the receiving station 16 in the OFDM system. The encoder 300 feedback includes filter Converter 302 to white noise, the processor 304 conversion module 306 zoom tool 308 compute the metric, the controller 310 speed and variable-speed vector quantizer 312. Channel characteristicsthe frequency domain of the tool 204 channel estimation and matrixthe covariance of the noise introduced into the filter Converter 302 to white noise. Filter Converter 302 to white noise first performs a conversion operation to white noise by decorrelation of the channel characteristics for each frequency on the corresponding square root of odularity noise according to equation 18,
to form reduced to white noise channel characteristic. Reduced to white noise channel characteristicsthen is converted by the processor 304 conversion, as described in more detail below, the vector kompleksnoznachnym coefficients*X**=(X*_{1}*X*_{2}*,..., Xn*_{c}*),*where*n*_{c}indicates the number of the converted channel coefficients. The module 306 scaling scales the converted channel coefficients in**X**their respective standard deviations. Scaled and transformed channel coefficients further quanthouse on an individual basis corresponding variable-speed vector quantizers 312 (or with variable resolution). Vector quantizers 312 are offline for different speeds (or permissions) based on, for example, samples of IID Gaussian with zero mean with unit variance. Vector quantizers, for example, can contain a two-dimensional vector quantizers. In addition, vector quantizers 312 higher dimensions can also be used for quantization of two or more of the transformed coefficients together.

Speed (or resolution)used for quantization of each converted coefficie is the
adaptively selected on the basis of a set of variances of the channel coefficients in the frequency domain. Tool 308 compute the metric calculates the variance of the transformed channel coefficients. The controller 310 speed determines the allocation of bits for each vector quantizer 312 based on the dispersions of the channel coefficients. For example, given the aggregate stock of bits of*B*_{total}the number of bits of*B*_{k}used for quantization coefficient*X*_{k}can be selected in accordance with the following:

Equation 19 |

As shown by equation 19, the number of bits allocated to a particular factor depends on the fact how great its variance relative to the geometric mean of all dispersions. After quantization coded bits are sent to the transmitting station 12 through fast line 18b feedback.

Fig.7 illustrates the decoder 400 feedback to the transmitting station 12 for OFDM systems. The decoder 400 feedback draws operations applied by the encoder 300 feedback at the receiving station 16, for forming a quantized estimatereduced to white noise channel characteristics. The decoder 400 is Britney communication includes many multi-decoders 402, module 404 scaling, processor 406 inverse transformation and the controller 408 speed. On the basis of the received bits decoders 402 quantization form estimates of the transformed channel coefficients. The controller 408 speed specifies the allocation of bits for each decoder 402, which determines the rate or resolution for this decoder 402. Distribution of bits used by the decoders 402 quantization, are calculated by the controller 402 speed in the same way as in the receiving station 16, based on the relative variances of the transformed coefficients, which in turn can be derived from statistical information provided by the receiving station 16 over a slow link 18a feedback. Module 404 scaling scales the evaluation of the transformed channel coefficients by their respective standard deviations. In conclusion, the processor 406 inverse transformation applies the inverse transform to the scaled restored transformed coefficients to obtain quantized versionreduced to white noise channel characteristics.

Many of the important quantities to maximize bandwidth and system can be obtained from the quantized reduced to white noise channel character who sticks . For example, the optimal corrector pre-encoding, denoted by P[k], which maximizes the throughput of the connection line on the k-th frequency can be calculated in accordance with the following:

Equation 20 |

where U_{H}[k] denotes the matrix which columns are vectors of the matrixand D*(p*_{1}*[k], p*_{2}*[k],..., p*_{nT}*[k])*denotes the diagonal matrix with diagonal elementsset:

Equation 21 |

where j=1,2,...,n_{T},- the set of eigenvaluesand 0 is chosen so that. Moreover, {p_{j}[k]} can also be used as an indicator of channel quality (CQI) for different frequencies and different modes, which are often needed for resource planning and adaptation of communication lines.

Fig explains the operation of the processor 304 conversion to convert the above to white noise channel features the IKI
the frequency domain. The processor 304 performs conversion of two-dimensional linear transformation given by white noise channel characteristicsin the coefficient vector**X**conversion to achieve significant compression of the channel coefficients. As shown in Fig given to white noise channel characteristicsthe frequency domain is first converted to converted to white noise channel characteristicthe time domain through the operation of the inverse fast Fourier transform (IFFT). Depending on the maximum spread of the delays of the system, this characteristic time domain can then be truncated to a small number of reports of channel within the window time index, denoted by W{1,2,...,N}. Each report channel resulting channel characteristicsadditionally converted the space, as described below, to obtain the set of transformed vector report channelthat is then linked to form a vector**X**=vec(**X**[1],**X**[2],...,**X**[|*W*|]) transformed coefficients, where |*W*| denotes the number of indexes in the*W*.

According to one embodiments of the invention, prostranstve the e conversion is done in accordance with
for all n*W*where**U**_{TR}means the matrix containing the eigenvectors of the full size of n_{R}n_{T}n_{R}n_{T}, correlation matrix are given to white noise channel characteristics, which is:

Equation 22 |

where vec(A) denotes the vector formed by compananies all columns in one vector.

The matrix U_{TR}can either be provided as a feedback transmitting station 12, using the slow channel 18a feedback, or, alternatively, it can be estimated using measurements of the ascending line. This transformation corresponds to complete Conversion of Karhunen-Loeve (Karhunen-Loeve) (KLT) with respect to spatial reporting channel. In addition to U_{TR}transmitting station 12 also requires the variation of each component of X[n], which can also be made available to the transmitting station 12 through the slow channel 18a feedback to calculate the appropriate distribution of the source bits for a given stock bits.

According to another typical variant of the invention, a spatial transformation is performed accordingfor everything n*
W*where U_{T}means a matrix with a vector of the correlation matrix of the transmission channels of size n_{T}n_{R}used instead of eigenvectors of f_{full}. The matrix f_{TX}correlation of transmission channels is:

Equation 23 |

Note that the matrix f_{TX}correlation of transmission channels can be obtained from the full matrix f_{full}correlation channels. In particular, item f_{TX}in the i-th row and j-th column followed by the corresponding pieces and uses the size of n_{T}n_{R}in f_{full}for example

,

where [A]_{m:n,p:q}denotes Podiatric size (n-m+1) (q-p+1), taken from the rows with*m-th*by*n-th*and from the columns with*p-th*by*q*th matrix A.

The matrix U_{T}can be either provided as a feedback transmitting station 12, using the slow channel 18a feedback, or, alternatively, it can be estimated using measurements of the reverse link. In addition to U_{T}transmitting station 12 also requires the variance of each component of X[n], which can also be made available to the transmitting station 12 through the slow channel 18a feedback to evaluate adequately the e distribution of source bits for a given stock bits.

In accordance with another embodiment, a spatial transformation is performed accordingfor all n*W*where U_{R}denotes the matrix with its own vectors of the correlation matrix of the received channels of size n_{R}n_{R}asked:

Equation 24 |

The matrix f_{RX}can be obtained from f_{full}the sum of its diagonal submetric size of n_{R}n_{R}for example:

Like U_{T}the matrix U_{R}can be either provided as a feedback transmitting station 12, using the slow channel 18a feedback, or, alternatively, it can be estimated using measurements of the reverse link. In addition to U_{T}and U_{R}transmitting station 12 also requires the variance of each component of X[n], which can also be made available to the transmitting station 12 through the slow channel 18a feedback, in order to calculate the appropriate distribution of the source bits for a given stock bits.

According to another variant of the invention, the spatial conversion is tion is performed under X[n]=
where W_{N}denotes the transformation matrix IFFT, the element in the i-th row and j-th column is exp{-j2ij/N}. In this case, the transmitting station 12 also requires the variance of each component of X[n], which can also be made available to the transmitting station 12 through the slow channel 18a feedback, in order to calculate the appropriate distribution of the source bits for a given stock bits.

At the transmitting station 12, an inverse transformation is applied to the restored transformed coefficients to obtain the restored reduced to white noise channel characteristicthe frequency domain, as shown in Fig.9. The quantized transformed vector X is first divided into a set of quantized transformed vector report channel_{.}The inverse spatial transform is then applied to each report X[n]to obtain the corresponding quantized reduced to white noise channel characteristicthe time domain. Reduced to white noise channel characteristicsthen padded with zeros to form, which is then converted back into the frequency domain through FFT operation to strmilov the th quantized reduced to white noise channel characteristic
the frequency domain.

Note that the trimming operation and additions zeros shown in Fig.6 and 7, can be omitted for reporting channel having a small dispersion, because for this scenario, no raw bits, as a rule, will not stand out.

In this subsection, we clearly show the advantage of the performance provided by the invention through a system of MIMO-OFDM. The full bandwidth of the system, as expected, is 5 MHz FFT size equal to 512. The number of occupied subcarriers is 300, which are evenly divided into 25 sections (12 subcarriers in each). The interval between subcarriers is 15 kHz. Performance characteristics are modeled using the spatial model channels with the pedestrian In the channel profile in a microcellular environment.

Figure 10 shows meets the invention, the operating characteristics for the four transmitting antennas and two receiving antennas. In particular, the graph drawn, depending on stock bits, the difference in SNR required to achieve a certain ergodic capacity (for example, using 5 bits for each channel) between the ideal case where the transmitting station 12 has perfect knowledge of the instantaneous channel state, and a case where an instantaneous state of the channel is compressed using the image is the group of before providing feedback from the transmitting station 12. Reserve bits normalized according to the number of partitions available to the system. As shown in Figure 10, the use of spatial correlation among the different elements of the channel matrix through various spatial transformations is very beneficial in terms of reducing the amount of fast feedback. For example, to reach within 1 dB from the ideal throughput in a closed loop, you will need about 3.5 bits / sections (a total of 3.5×25=63 bits for the whole range), if applied to the uneven distribution of bits only according to various reports channel time domain without spatial transform. However, if a fixed FFT-transformation is applied to each channel coefficient, as described in the previous section, you have less than 2 bits per cell (a total of 50 bits for the whole range)to reach within 1 dB from the ideal performance in a closed loop. In addition, if you instead used one of the spatial transformations KLT, described in the previous section, less than 1 bit per cell (a total of 25 bits for the whole range)to reach within 1 dB from the ideal performance. If a valid 2-bit per cell (total betow) in the reverse link, you can reach to within 0.5 dB from the ideal performance in a closed loop.

11 additionally shows the performance of the adaptive feedback scheme, illustrated in Figure 4 and 5, assuming four transmitting antennas and one receiving antenna. In this case, if you use a non-uniform distribution of bits only according to various reports channel time domain without spatial transform, need about 2 bits per partition (in total 2×25=50 bits for the whole range)to reach within 1 dB from the ideal throughput in a closed loop. However, if a fixed FFT-transformation is applied to each channel coefficient, as described in the previous section, you have about 1 bit per cell (a total of 25 bits for the whole range)to reach within 1 dB from the ideal performance in a closed loop. In addition, if you use one of the spatial transformations KLT described in the previous section, about 0.4 bits per section (total of 10 bits for the whole range) to reach within 1 dB from the ideal performance. If for example 1 bit per cell (a total of 25 bits) in the return line to reach to within 0.5 dB from the ideal performance in a closed loop.

In addition, the encoder 206 feedback, in some embodiments, implementation, further comprise a processor 304 conversion to convert the mentioned channel coefficients to create the converted channel coefficients. The processor 304 conversion can, in some embodiments, implementation, convert channel coefficients of the frequency-domain channel coefficients in the time domain, to take the said coefficients of the time domain within a predefined range of delays and may, in some embodiments, the implementation, in addition to convert the mentioned selected channel coefficients of the time domain in channel coefficients of the own region.

Metric calculator may, in some embodiments, implementation, identify individual statistics for each channel coefficient, and individual statistics may, in some embodiments, implement, maintain the relative power of the channel coefficient. The speed controller may, in some embodiments, implementation, to determine the mentioned speed for these channel coefficients in descending order mentioned relative power. Individual statistics may, in some embodiments, implementation, to include the variance associated with the channel coefficient. The controller 216, 310 soon the tee may in some embodiments, implementation, to determine said speed based on the statistics collected during the current period of the speed control, and mentioned statistics are calculated before the quantization of the channel coefficients in the current period of the speed control.

The encoder 206 feedback may, in some embodiments, implementation, transfer speed slow feedback channel and transmits the quantized channel coefficients on the fast feedback channel.

The controller 216, 310 speed may, in some embodiments, implementation, to determine the speed based on the statistics collected for the previous period, speed control, these statistics are calculated after quantization of the channel coefficients in the previous period of the speed control. The encoder 206 feedback may, in some embodiments, implementation, transmit quantized channel coefficients on the fast feedback channel, and may, in some embodiments, implement, maintain the filter Converter 302 to white noise for converting mentioned channel coefficients to white noise.

Encoder feedback may, in some embodiments, implementation, additionally contain module 306 scaling to scale mentioned channel coefficients based on the statistics by mentioning the estimated channel coefficients to quantization. The controller 216, 310 speed may, in some embodiments, implementation, to determine the bit allocation for these quantizers based on those statistics. Multi-speed quantizers 212, 312 may, in some embodiments, implement, maintain encoder vector quantizers with a tree structure, designed on the basis of such statistics.

Additionally, the decoder feedback for decoding the channel coefficients, the quantized variable-speed quantizer contains the controller 408 speed to determine the appropriate speed for a variety of channel coefficients and the decoder 402 quantization for individual decoding the above-mentioned set of channel coefficients at the speed defined by the said controller 408 speed. The above-mentioned controller 408 speed may, in some embodiments, implementation, mentioned to determine the appropriate speed for a variety of channel coefficients by receiving the above-mentioned speeds from the receiving station over a slow feedback channel. The above-mentioned controller 408 speed may, in some embodiments, implementation, mentioned to determine the appropriate speed for the channel coefficients by receiving statistics mentioned channel coefficients from the receiving station over a slow link about the military communications and computing mentioned speeds based on those adopted by statistics. The mentioned statistics adopted may, in some embodiments, implement, maintain dispersion mentioned channel coefficients. The above-mentioned controller 408 speed may, in some embodiments, implementation, mentioned to determine the appropriate speed for a variety of channel coefficients by measuring the statistics mentioned channel coefficients and the calculation of the mentioned speeds based on those measured statistics. The above-mentioned controller 408 speed may, in some embodiments, implement, measure, referred to statistics in the first period of the speed control and calculates said speed based on those measured statistics in the second period of the speed control. The mentioned statistics can, in some embodiments, implement, maintain dispersion mentioned channel coefficients.

The decoder 104 feedback may, in some embodiments, implementation, further comprise a processor 406 conversion to convert the mentioned channel coefficients to create the converted channel coefficients to decode. The mentioned processor 406 transformation can, in some embodiments, implementation, convert mentioned channel coefficients coefficients in the frequency domain. The decoder 104 feedback can, in some the s versions of the implementation, optionally contain a module 404 scaling to scale mentioned channel coefficients based on the statistics mentioned channel coefficients and decoding referred to the scaled channel coefficients. The decoder 110 quantization from the decoder 104 feedback may, in some implementations, be implemented using a decoder vector quantizer tree structure.

The present invention can of course be performed in other ways than those specifically set forth herein, without departing from the essential characteristics of the invention. Real options implementation should be considered in all respects illustrative and not restrictive, and all the dispersion falling within the meaning and equivalence of the appended claims, refers covered it.

1. The method implemented by the receiving terminal and intended for quantization feedback channel status containing phases in which:

determine the individual statistics for the set of coefficients of the reference channel for the communication channel between the transmitting station and said receiving terminal;

quantuum on an individual basis mentioned many factors reference channel on the corresponding bit speeds Kwan is Finance,
be determined on the basis of such statistics, to generate quantized coefficients of the reference channel, the total number of bits allocated for the said set of coefficients of the reference channel is fixed; and transmit the quantized coefficients of the reference channel of the said receiving terminal in the above-mentioned transmitting station in the communication system.

2. The method according to claim 1, additionally containing a stage at which convert the said coefficients of the reference channel to receive the converted coefficients of the reference channel.

3. The method according to claim 2, in which when converting the above-mentioned factors report channel to receive the converted coefficients of the reference channel:

transform coefficients of the reference channel frequency-domain coefficients of the reference channel time domain;

select the coefficients of the reference channel time domain within a predefined range of delays; and

transform mentioned selected coefficients of the reference channel time domain coefficients of the reference channel has its own field.

4. The method according to claim 1, wherein when determining statistics for the set of coefficients of the reference channel determine the individual statistics for each coefficient of the reference channel.

5. The method according to claim 4, in which the individual article is teak contains a relative power ratio of the reference channel.

6. The method according to claim 5, in which said speed is determined in descending order mentioned relative power.

7. The method according to claim 4, in which individual statistics contains the variance associated with the factor of the reference channel.

8. The method according to claim 7, in which said speed is determined in descending order of the above-mentioned dispersions.

9. The method according to claim 1, in which said speed is determined based on the statistics collected for the current period speed control, these statistics is calculated before the quantization coefficients of the reference channel in the current period of the speed control.

10. The method according to claim 9, in which said speed is transmitted over a slow feedback channel, these quantized coefficients of the reference channel is transmitted on the fast feedback channel.

11. The method according to claim 1, in which said speed is determined based on the statistics collected for the previous period, speed control, these statistics calculated after quantization coefficients of the reference channel in the previous period speed control.

12. The method according to claim 11, in which the quantized coefficients of the reference channel is transmitted on the fast feedback channel.

13. The method according to claim 1, wherein when determining the above factors reference channel mentioned the factors of the reference channel transform to white noise.

14. The method according to claim 1, in which the quantization on an individual basis mentioned many factors reference channel at the appropriate velocity defined on the basis of such statistics, scale mentioned factors reference channel based on the statistics mentioned coefficients of the reference channel and quantuum mentioned the scaled coefficients of the reference channel.

15. The method according to claim 1, in which the quantization on an individual basis mentioned many factors reference channel at the appropriate velocity defined on the basis of such statistics:

determine the allocation of bits for the above set of referred factors of the reference channel based on the said statistics; and

quantuum on an individual basis mentioned many factors reference channel at speeds that are defined on the basis of the distributions of bits.

16. Encoder feedback in the receiving terminal for the quantization of the feedback channel status, comprising: a means of calculating the metric for calculating the individual statistics for the set of coefficients of the reference channel for the communication channel between the transmitting station and said receiving terminal;

many multi-quantizer for quantization on an individual basis will mention the first set of coefficients of the reference channel bit rates quantization
be determined on the basis of such statistics, the total number of bits used by the encoder feedback quantization mentioned many factors reference channel is fixed; and

the vehicle speed control to determine the mentioned speeds for these quantizers.

17. Encoder feedback P16, optionally containing a conversion processor for converting the above-mentioned coefficients of the reference channel to receive the converted coefficients of the reference channel.

18. Encoder feedback 17, in which the conversion processor converts the coefficients of the reference channel frequency-domain coefficients of the reference channel time domain, selects the mentioned factors are the time domain within a predefined range of delays and converts mentioned selected coefficients of the reference channel time domain coefficients of the reference channel has its own field.

19. Encoder feedback item 16 in which the means of calculating the metric determines the individual statistics for each coefficient of the reference channel.

20. Encoder feedback according to claim 19, in which individual statistics contains a relative power ratio of the reference channel.

21. Encoder feedback claim 20, in which the management tool soon the TEW determines mentioned speed for these factors reference channel in descending order mentioned relative power.

22. Encoder feedback according to claim 19, in which individual statistics contains the variance associated with the factor of the reference channel.

23. Encoder feedback p.22, in which the vehicle speed control determines mentioned speed for these factors reference channel in descending order of the above-mentioned dispersions.

24. Encoder feedback item 16, in which the vehicle speed control determines the speed based on the statistics collected for the current period speed control, these statistics are calculated before the quantization coefficients of the reference channel in the current period of the speed control.

25. Encoder feedback point 24, the encoder transmits feedback speed slow feedback channel and transmits the quantized coefficients of the reference channel on the fast feedback channel.

26. Encoder feedback item 16, in which the vehicle speed control determines the speed based on the statistics collected for the previous period, speed control, these statistics are calculated after quantization coefficients of the reference channel in the previous period speed control.

27. Encoder feedback p, with encoder feedback transmits the quantized coefficients of the reference channel on the fast feedback channel.

28. Code the feedback P16, optionally containing a whitening filter for converting the above-mentioned factors reference channel to white noise.

29. Encoder feedback 17, further containing a scaler for scaling the mentioned factors reference channel based on the statistics mentioned factors reference channel before quantization.

30. Encoder feedback item 16, in which the vehicle speed control determines the allocation of bits for these quantizers based on those statistics.

31. Encoder feedback item 16, in which multi-speed quantizers contain the encoder of vector quantizers with a tree structure, designed on the basis of such statistics.

32. The method, implemented in a transmitter and is designed to decode the feedback channel status, containing the steps are:

take from the receiving terminal quantized feedback of channel status, which includes a set of quantized coefficients for the reference channel for the communication channel between the transmitting station and the receiving terminal, when it is mentioned many of the quantized coefficients of the reference channel is quantized on an individual basis and the total number of bits allocated for the said set of coefficients of the reference channel is oxiranyl;

determine the individual bit rate quantization for the mentioned set of coefficients of the reference channel; and decode the said set of coefficients of the reference channel based on the said individual bit rates quantization.

33. The method according to p, in which when determining appropriate speed quantization for a variety of factors readout channels receive the mentioned speed quantization from the receiving station over a slow feedback channel.

34. The method according to p, in which when determining velocities for a variety of factors readout channels receive statistics mentioned factors reference channel from the receiving station over a slow feedback channel and mentioned calculate speed based on those adopted by the statistics.

35. The method according to clause 34, in which the mentioned statistics adopted contains a dispersion of the above-mentioned coefficients of the reference channel.

36. The method according to p, in which when determining appropriate speed quantization for a variety of factors reference channel is measured statistics of the mentioned factors reference channel and calculate the mentioned speed quantization for the mentioned set of coefficients of the reference channel based on the said measured statistics.

37. The method according to clause 34, in which the mentioned statistics, the measurement is percent in the first period, speed control, used to calculate the velocity in the second period of the speed control.

38. The method according to clause 37, in which the mentioned statistics contains a dispersion of the above-mentioned coefficients of the reference channel.

39. The method according to p, optionally containing phase, which converts the said coefficients of the reference channel to receive the converted coefficients of the reference channel.

40. The method according to clause 37, which when converted mentioned factors reference channel for receiving the transformed coefficients of the reference channel mentioned factors reference channel is converted to the coefficients of the frequency domain.

41. The method according to p, optionally containing a stage, where the scale mentioned factors reference channel based on the statistics mentioned coefficients of the reference channel and decode mentioned the scaled coefficients of the reference channel.

42. The decoder feedback in a transmitter designed for decoding coefficients of the reference channel that is provided as feedback by the receiving terminal, comprising:

the vehicle speed control to determine the individual bit rates of quantization for a variety of factors reference channel for the communication channel between the transmitting station and the receiving terminal, when it is mentioned many quanta is the R coefficients of the reference channel is quantized on an individual basis and the total number of bits
allocated for the mentioned set of coefficients of the reference channel is fixed; and

the decoder quantization for decoding the above-mentioned set of coefficients of the reference channel based on the said individual bit rates quantization.

43. The decoder feedback § 42, in which the said means of speed control determines referred to the appropriate speed quantization for a variety of factors reference channel by receiving the above-mentioned velocity quantization from the receiving station over a slow feedback channel.

44. The decoder feedback § 42, in which the said means of speed control determines referred to the appropriate speed quantization for a variety of factors reference channel by receiving statistics mentioned factors reference channel from the receiving station over a slow feedback channel and the calculation of the mentioned speeds quantization based on those adopted by the statistics.

45. The decoder feedback item 44, in which the mentioned statistics adopted contains a dispersion of the above-mentioned coefficients of the reference channel.

46. The decoder feedback § 42, in which the said means of speed control determines referred to the appropriate speed quantization for a variety of factors reference channel PU is eating measurement statistics mentioned factors reference channel and the calculation of the mentioned speeds quantization based on those measured statistics.

47. The decoder feedback § 46, in which the said means of speed control measures referred to statistics in the first period of the speed control and calculates said speed quantization based on those measured statistics in the second period of the speed control.

48. The decoder feedback p, in which the mentioned statistics contains a dispersion of the above-mentioned coefficients of the reference channel.

49. The decoder feedback § 42, further translation of the mentioned factors reference channel for receiving the transformed coefficients of the reference channel to decode.

50. The decoder feedback § 49, in which the said transformation coefficients of the reference channel to receive the converted coefficients of the reference channel mentioned factors reference channel is converted to the coefficients of the frequency domain.

51. The decoder feedback § 42, further performing the mentioned scaling coefficients of the reference channel based on the statistics mentioned coefficients of the reference channel and the decoding referred to the scaled coefficients of the reference channel.

52. The decoder feedback § 42, the decoder quantization is implemented using a decoder vector quantizer tree structure.

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FIELD: radio engineering, communication.

SUBSTANCE: software-defined radio device has an architecture with separate components to provide control functions and data processing functions. The control components configure the data processing components so that the software-defined radio device provides desired operating characteristics. Components in the data layer may obtain information indicating operating conditions, which can be provided to one or more of the control components. In response, the control components can modify components in the data layer to adjust to operating conditions.

EFFECT: high efficiency of communication using one or more communication technologies.

20 cl, 15 dwg

FIELD: radio engineering, communication.

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EFFECT: simplification of devices configuration and management in FDT infrastructure, thus reducing the probability of human error.

27 cl, 7 dwg

FIELD: radio engineering, communication.

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2 dwg

FIELD: radio engineering, communication.

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20 cl, 5 dwg

FIELD: radio engineering, communication.

SUBSTANCE: when measuring the position of the front of a video pulse, a DME signal is received and digitised, frequency of the received signal is shifted by an intermediate frequency shift value in the corresponding Nyquist zone and divided by the quadrature by multiplying the digitised signal by the signal of the quadrature generator; the multiplied signal is filtered and decimated by 2, the resultant video signal is transferred to zero frequency; the video signal is filtered; the time position of the front of the video pulse is determined from the level of half the amplitude of the video signal at the intermediate frequency; signals from non-operating Nyquist zones are suppressed by filtration and decimation by 5 and the obtained signal is transferred to the sampling frequency which is equal to 10 MHz; the video signal transferred to the sampling frequency is filtered by a narrow-band low-pass filter; a detection signal is generated by comparing the modulus of the detection pulse from the output of said narrow-band low-pass filter with the video signal, wherein the detection signal allows transmission of the video pulse for subsequent decoding.

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FIELD: radio engineering, communication.

SUBSTANCE: system for participant response includes at least one host computer and multiple remote units wirelessly communicating with the host computer using a packet protocol. Synchronisation data, network information and messages with data essentially meant for all remote units are packed into common transmission frames and said common transmission frames are transmitted to all said remote units for processing of said data by said remote units. Asynchronous transmission of messages with data meant for one or more selected remote units in message frames addressed to said one or more selected remote units is carried out, as well as asynchronous transmission from said remote units of messages with data meant for said host computer in message frames.

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31 cl, 12 dwg

FIELD: radio engineering, communication.

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43 cl, 10 dwg

FIELD: radio engineering, communication.

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13 cl, 10 dwg

FIELD: personal use articles.

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18 cl, 14 dwg

FIELD: radio engineering, communication.

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41 cl, 12 dwg

FIELD: information technology.

SUBSTANCE: invention discloses systems and methodologies which facilitate creating antenna ports which correspond to two or more groups of user equipment (UE). The present invention can organise two or more groups of user equipment and signal to each of the two or more groups a respective antenna port. The invention can further transmit mapping information, a reference signal or delay related to a linear combination in order to identify antenna ports. Based on such transmitted information, the reference signal can be decoded in order to identify each antenna port.

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84 cl, 11 dwg

FIELD: information technology.

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17 cl, 4 dwg

FIELD: information technologies.

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18 cl, 17 dwg

FIELD: physics, communications.

SUBSTANCE: invention relates to interaction between a network entity, such as a base station, and a recipient, such as mobile terminal, and can be used to convey antenna configuration information. The method of providing antenna configuration information via masking involves: selecting a bit mask associated with an antenna configuration and a transmission diversity scheme, the bit mask being selected from a set of bit masks including a first bit mask associated with a single-antenna configuration, a second bit mask associated with a two-antenna configuration, and a third bit mask associated with a four-antenna configuration, wherein selecting the bit mask involves selecting the bit mask from the set of bit masks, the first bit mask having a maximum Hamming distance from the second bit mask; and applying the bit mask associated with the antenna configuration and the transmission diversity scheme to a set of predetermined bits within a plurality of bits.

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20 cl, 5 dwg

FIELD: information technologies.

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7 cl, 6 dwg

FIELD: radio engineering.

SUBSTANCE: invention may be used to send data in communication systems with multiple inputs and multiple outputs or with multiple inputs and one output (MIMO/MISO). The method to process data for transfer along a wideband multi-input channel consists in receiving a control vector for each of multiple subranges, at the same time each control vector comprises multiple elements for multiple transmitting antennas, and in preliminary conversion of modulation symbols to be transferred in each subrange, using a control vector for a subrange, besides, the control vector for each subrange is received on the basis of its own vector corresponding to its main mode.

EFFECT: improvement of working indices under unfavourable channel conditions.

19 cl, 5 dwg

FIELD: information technology.

SUBSTANCE: MIMO-capable base station allocates a maximum transmission power resource to each of its antennae. For serving each of one or more MIMO and non-MIMO users, one or more carriers are allocated. For each carrier, information about the amount of allocated MIMO and non-MIMO user resources associated with the carrier is used to derive coefficients. For each carrier, the coefficients and the maximum transmission power resource for the carrier are used to derive a maximum transmission power resource for each of the antennae. For each antenna, a total maximum transmission power resource is derived. If it is determined that the total maximum transmission power resource of the antenna exceeds the transmission power limit for the antenna, and radio conditions for a non-MIMO user satisfy one or more predefined criteria, then one of the secondary antennae of the carrier is used to serve the non-MIMO user.

EFFECT: efficient use of transmission power of a base station.

16 cl, 5 dwg, 2 tbl

FIELD: information technology.

SUBSTANCE: techniques for efficiently sending channel state information using differential encoding are described. Differential encoding may be performed across space, across frequency, across space and frequency, across space, frequency and time, or across some other combination of dimensions. In one design, spatial state information may be determined for multiple spatial channels on multiple subbands. The spatial channels may correspond to different antennae, different precoding vectors, etc. Channel quality indicator (CQI) values may be obtained for the multiple spatial channels on the multiple subbands. The CQI values may be differentially encoded across the multiple spatial channels and the multiple subbands to obtain differential CQI information. In another design, CQI values may be obtained for multiple spatial channels on the multiple subbands in multiple time intervals and may be differentially encoded across space, frequency and time. The differential CQI information and the spatial state information may be sent as feedback.

EFFECT: efficient transmission of channel state information in a wireless communication system.

51 cl, 16 dwg

FIELD: radio engineering.

SUBSTANCE: components of noise signals for reception units different from a final reception unit, and a desired communication signal in a final reception unit are weighed with the help of parameters determined for a receiver, which describe capabilities of the receiver for the specified units in terms of their resources for suppression of noise and/or improvement of signals. The invention also relates to the method and device of planning for planning of the user equipment with the help of using the specified information by capabilities of signals processing for received signals of each reception unit.

EFFECT: improved calculation of antenna weights for transmission of data beams generation from a transmitter's unit into a final receiver's unit.

13 cl, 6 dwg

FIELD: information technology.

SUBSTANCE: data vectors to be transferred to multiple receiving antennas of receiver can be transformed into virtual antenna area. CDD can be applied to this area with subsequent precoding to provide benefits of prcoding while CDD is used. Therein, resulting signals can be transmitted without useless dispersion of spatial transmission energy, which is unreachable by receiving devices.

EFFECT: lower dissipation of energy which is useful when information is transmitted.

22 cl, 9 dwg

FIELD: radio engineering, communication.

SUBSTANCE: device has a priority encoder whose output is the output of the ADC, a voltage-to-current converter unit, the input and output of which are the voltage and current inputs of the ADC, respectively, a light-emitting diode connected to the current input, a mirror lying in parallel to the plane of a photodetector array consisting of a line of light sensors lying on the radius of the light spot formed by reflection of radiation of the light-emitting diode from the mirror.

EFFECT: high accuracy and reliability, low power consumption and miniaturisation.

1 dwg