Method and device of transmitter identification within wireless communication system by means of power predictions

FIELD: radio engineering.

SUBSTANCE: invention refers to identification of transmitters for signals received by terminal. In order to evaluate transmitter of this received signal, candidate list of transmitters which could transmit this signal is made out. Besides coverage area is detected to be used for received signal. This coverage area is area where terminal can receive signal to be identified. Then predicted power for each candidate transmitter is evaluated, e.g. using route and coverage area loss prediction model. Predicted powers for candidate transmitters are compared (directly or relatively) to measured power of received signal. Candidate transmitter with (direct/relative) predicted power closest to (direct/relative) measured power is considered to be that one transmitted this signal. Distribution delays can be predicted and used for transmitter identification as well.

EFFECT: estimation of terminal location.

27 cl, 12 dwg

 

This application claims priority in accordance with the provisional application No. 60/420540 registered in the Patent office of the USA on October 22, 2002, and provisional application No. 60/441981 registered in the Patent office of the USA on January 21, 2003.

The technical field to which the invention relates

The present invention relates in General to positioning, and more particularly to a method and apparatus for identifying transmitters in a wireless communication system using prediction power.

The level of technology

It is often desirable, and sometimes necessary, to know the location of the wireless user. For example, the Federal communications Commission (Federal Communications Commission, FCC) adopted a Protocol and procedure for enhanced wireless 911 (E-911), which requires the location of the wireless terminal (e.g., cell phone) station responsible for public safety (Public Safety Answering Point, PSAP), every time you make a 911 call from a terminal. In addition to the mandate of the FCC, service providers can use location services (i.e. services that identify the location of wireless terminal) in a variety of applications, to provide functions with additional services and it is possible to produce additional revenue.

In General, accurate estimate of the location of the wireless device can be obtained based on (1) the distance or distances from the device to a sufficient number of transmitters (usually three or four) and (2) the locations of these transmitters. Each transmitter can correspond GPS satellite or connected with the Earth, the base station in the cellular system. The distance to each transmitter can be estimated based on the signal transmitted by this transmitter. The location of each transmitter can usually be found if you know his identity. Identification information of each transmitter may be provided in the signal transmitted by this transmitter.

In many cases, the number of signals required to compute the accuracy of the current estimate of the location, may not be taken by the wireless device, or information about the distance is not available. In these cases, it may be obtained a rough estimate of the location of the wireless device, based on other information for transmitters whose signals are registered by the wireless device. For example, a rough estimate of location can be obtained for the wireless device based on the knowledge of the locations and/or areas of coverage of base stations, received by this device. In any case, identification information of the base station should be clarified before it can be used to determine location.

For a CDMA communication system, each base station may be identified based on various types of information. First, each base station can clearly be identified based on information included in certain nazarovaya messages transmitted from this base station. However, to accept and to recover these messages, the wireless device must communicate with that base station. Second, each base station may be identified based on a pseudo-random number (pseudo-random number, PN) sequence assigned to this base station. For a CDMA system, each base station is assigned SP is a special offset PN sequence, which is different from the offsets assigned to the neighboring base stations. Each base station uses its assigned PN sequence so that the spectral distribute data to broadcast. However, due to the limited number of available PN offsets, multiple base stations in the system may be assigned the same PN offset. Thus, it may be impossible to clearly identify this base station, based solely on the PN phase of the signal received from the base station.

Thus there is a need in the technology for a method and device that can identify transmitters in a wireless communication system.

Disclosure of invention

Here, we describe the method and apparatus to identify the transmitters of signals received by the wireless device. These transmitters can be transceiver subsystems of base stations (base station transceiver subsystem BTS) in a cellular communication system (for example, a CDMA system), and a wireless device may be a user terminal (e.g., cellular phone). The transmitter for each received signal is identified based on the predicted capacities for candidates-transmitters that can transmit this signal.

In one embodiment, this rusk is " method and device transmitters for a certain number of signals, accepted by the terminal, are identified one at a time by using the prediction power. To determine the transmitter for a given received signal, first defines the list of candidates-transmitters that can transmit this signal. For CDMA systems candidates transmitters can be subsystems BTS with the same PN offset as the offset of a received signal that is identified. Also defined coverage area to use for the received signal. This coverage area is an area where the terminal can receive a signal that is identified. Coverage area can be determined based on the coverage of the transmitters that have already been identified.

Then is determined by the predicted power for each candidate transmitter in the list. Predicted power can be obtained by using the model predictions of path loss (e.g., model Okumura-Hata (Okumura-Hata model)). Moreover, the predicted power is obtained for the center of mass coverage. For example, terrain and land cover/land use for the area of coverage may be provided for and used by the model predictions of path loss, to obtain the predicted power. Predicted power can also be obtained for the center of mass coverage (i.e. build is by hypothesis, the terminal is located in the center of the coverage area).

Then the predicted power for candidates-transmitters are compared with the measured power of the received signal, to determine the transmitter for this received signal. The comparison between the predicted output and the measured power can be performed based on the direct mapping of capacity or schema mappings relative power. Scheme direct comparison of the capacities predicted power for each candidate transmitter directly compared with the measured power of a received signal. For schema compare relative power also obtained the predicted power and the measured power of the reference transmitter. Then, for each candidate transmitter is determined by the relative predicted power as the difference between the predicted capacity of the reference transmitter and the forecasted capacity of the candidate transmitter. The relative measured power is also defined as the difference between the measured power for the reference transmitter and the measured power of a received signal. Then the relative predicted power for each candidate transmitter is compared with the measured relative power. For both schemes the candidate transmitter with the predicted power and the relative predicted power), closest to the measured power (or relative to the measured power), is considered as the one that gave the signal.

The propagation delay of the signal from each candidate transmitter can also predskazivati and used in the identification of the transmitter for the received signal. In this case, the predicted propagation delay for each candidate transmitter can be compared with the measured propagation delay of a received signal (using either the direct or the relative comparison in a similar way as for the predicted power). The result of comparison of the predicted delays can be combined with a result of comparison of the predicted capacities. Then the transmitter for the received signal is identified based on the combined result.

Various aspects and embodiments of the disclosed method and device are described in more detail below.

Brief description of drawings

Signs, the nature and advantages of the present invention will become more clear from the detailed description set forth below when taken in connection with the drawings, in which similar reference characters throughout identify, respectively, and where

Fig. 1 shows a wireless communication system;

Fig. 2 shows broken on the sector coverage area to look no further than the x base stations;

Fig. 3A shows the signal transmission from the BTS to the terminal.

Fig. 3B shows the model used to predict the power of the signal received by the terminal;

Fig. 4 shows the identification subsystem BTS for one received signal, using the scheme of direct comparison of capacity;

Fig. 5 is a sequence chart of operations of a process for identifying transmitters for a certain number of received signals using schemas direct comparison of capacity;

Fig. 6 shows the definition of the coverage area;

Fig. 7 shows the identification subsystem BTS for one received signal using the comparison circuit relative power;

Fig. 8 is a sequence chart of operations of a process for identifying transmitters for a certain number of received signals using the schema compare relative power;

Fig. 9 is a sequence chart of operations of a process for identifying transmitters for a certain number of received signals, using the comparison circuit capacity and delay;

Fig. 10 is a sequence chart of operations of a process for determining the location of the terminal using the subsystem BTS that have been identified when using the predictions of power; and

Fig. 11 is a simplified block diagram of various objects in the system, it is shown in Fig. 1.

The implementation of the invention

Fig. 1 is a diagram of a wireless system 100 connection. The system 100 includes a number of base stations 104, and each base station serves a specific geographic area. For simplicity in Fig. 1 shows only four base stations 104a-104d. The base station may also be specified as an access point, node B, or some other terminology.

A number of terminals 106 are typically dispersed throughout the system (for simplicity in Fig. 1 shows only one terminal). Each terminal 106 may communicate with one or more base stations. Active interaction between the terminal and multiple base stations at the same time is referred to as "soft handover". Active interaction points to the fact that the terminal is registered in the system and can identify the base station. Even if the terminal is not in the active interaction with any base station, it can receive pilot signals, pages, and/or other signaling message from the base station. In the example shown in Fig. 1, the terminal 106 receives the pilot signals from all four base stations 104a-104d.

The base station 104 typically communicate with the controller 120 of base stations (base station controller, BSC), which will oodinium interaction between base stations and terminals, which are in active engagement with these base stations. To determine the location of the base station controller may additionally interact with determining the location of the module (position determining entity, PDE) 130, which receives relevant information from and/or provides information to a base station controller.

Fig. 2 is a diagram showing broken on the sector coverage area (usually indicated as broken down into the sectors of the cell) for the four base stations shown in Fig. 1. Each base station in the system provides coverage for a particular geographic area. This coverage area of each base station is the area within which the terminal can receive the signals transmitted from this base station. The size and shape of the coverage area of each base station typically depend on various factors such as terrain, obstacles and so forth. For simplicity, the coverage area of each base station often seems to be a perfect circle.

In a normal deployment of the system to increase capacity, the coverage area of each base station may be divided into a number of sectors (for example, three sectors). For simplicity, each sector is often presented with the perfect wedge 210 120° circle shape. In the actual developing is Ivanyi the coverage area of each base station often has the form, which differs from a perfect circle, and the shape of each sector also differs from the ideal wedge shape of the circle. Moreover, the sector coverage area, broken down by sectors, typically overlap at the edges.

Each sector is served by a respective base transceiver subsystem (base transceiver subsystem (BTS). For coverage area, which was divided into sectors, the base station serving this coverage area, but can include all subsystems of the BTS serving the sectors of the coverage area. For simplicity, only five sectors A-E shown in Fig. 2 for the four areas of coverage served by base stations 104a-104d in Fig. 1. These five sectors A-E are serviced by a BTS subsystems 105a-105e, respectively. For simplicity, the coverage area of each BTS can also be represented using a perfect circle 220 instead of the wedge 210.

The method and apparatus here described, to identify the transmitters based on the prediction power can be used for various wireless communication systems. Thus, the system 100 may be a multiple access code division multiple access (CDMA)system, multiple access with time division (TDMA)system, a multiple access frequency division (FDMA), or some other wireless communication system. A CDMA system may be designed in order to aromatise, in order to implement one or more CDMA standards such as IS-95, IS-2000, W-CDMA, and so on. TDMA system can be constructed to implement one or more TDMA standards such as GSM and GPRS. These standards are well known in the art. For clarity, certain embodiments of the disclosed method and device are described specifically for the CDMA system.

Fig. 3A is a diagram showing a signal transmission from a single BTS 105x to the terminal 106x. The signal transmitted from the antenna of this BTS at a specific level of transmitted power Ptx. This signal propagates through the wireless channel and received by the terminal at a particular level of the received power, Prx. Received power Prxusually much smaller than the transmitted power Ptx. Attenuation in power is determined by the path loss that the wireless channel.

Fig. 3B is a diagram showing the model 300 used to predict the power of the signal received by the terminal 106x, after he went through a wireless channel from the transmitting BTS 105x. In the model 300, BTS 105x is described with two parameters: power (P) and antenna gain (G). Power P is the power at the input port of the BTS antenna (i.e. before the power amplifier and the antenna). The antenna gain G is the gain, before stavljamo BTS antenna for sector accepted this BTS. Transmitted power Ptxon BTS antenna may be determined based on the power P and antenna gain G (i.e. Ptx(dBW)=P(dBW)+G(dB)).

Model 310 predicting path loss is used to predict losses on the route of the wireless channel between the BTS 105x and terminal 106x. Model 310 predicting path loss may be determined using any one of a number of prediction models, such as model Okumura-Hata model COST231 Hata (COST231 Hata model), the COST231 model of Walfish-Ikegami (COST231 Walfish-Ikegami model), the model of Lee (Lee's model), the model of free space (Free-Space model) and so on. Model Okumura-Hata described in more detail below.

As shown in Fig. 3B, the model 310 predicting path loss uses a set of parameters. These options are briefly described below.

- Distribution model/options (D) indicates a special model used for model 310 predicting path loss (e.g., model Okumura-Hata).

- Database location (T) - this database includes information regarding the surface roughness of the terrain, which is used to predict losses on the road between the BTS and the terminal.

- Database of land cover/land use (L) - this database includes information on land cover and land use for p the t distribution.

- The location of the terminal (m) - this is a hypothetical location for the terminal. The predicted power is defined for/in that location.

The predicted power for the signal received by the terminal 106x, can be obtained by using the model predicting path loss and parameters described above. Predicted power W to the received signal can be expressed as a function of these parameters as follows:

W(G,P,D,T,L,m)Ur.(1)

where G, P, D, T, L, and m are parameters described above.

Predicted power W can be used to identify the transmitter signal received by the terminal. Identification of the transmitter may be performed based on various schemes of comparison, which includes the direct comparison of capacity and the comparison circuit relative power. Each of these schemes is described in more detail below.

A direct comparison of capacity

Fig. 4 shows the identification BTS for one received signal on the terminal, using the scheme of direct comparison of capacities. This received signal is determined by the list of candidates-BTS subsystems that could transmit this signal, as described below. It is assumed that the relevant information for each to the of ndidate subsystem BTS known or can be ascertained. Such information may include the location of the BTS and power (P) and the antenna gain (G). Also defined coverage area to use for this received signal. This coverage area is an area where the terminal can receive a signal that is identified. Coverage area can be determined as described below.

For each candidate subsystem BTS in the list is built, the hypothesis that the received signal was transmitted from this BTS. The predicted power of the received signal can then be obtained using the model for predicting path loss and information for BTS and coverage. More specifically, in order to obtain the predicted power W to the i-th candidate subsystem BTS, using the model prediction power, as shown in Fig. 3B, for this model are provided and used the following settings:

1) power (Pi) and the antenna gain (Gifor the i-th candidate subsystem BTS,

2) the model distribution/parameters (D) may be, for example, the model Okumura-Hata,

3) area (T) and the land cover/land use (L) for coverage, and

4) the location of the terminal (m) can be chosen as the center of mass coverage.

Based on all these parameters, the model prediction power provides the predicted power Wii-the candidate subsystem BTS.

Predicted power Wiis obtained for each candidate subsystem BTS in the list. For a direct comparison of the capacity predicted capacity Wifor each candidate subsystem BTS directly compared with the measured power of the Ec received signal. The candidate subsystem BTS with the predicted power closest to the measured power is then identified as the one that gave this signal. This condition can be expressed as:

where Wiis the predicted power for the i-th candidate subsystem BTS,

Ec is the measured power of the received signal, which identifies and

I submit a list of candidates-BTS subsystems.

In a wireless communication system, the terminal may receive a number of signals from a number of subsystems (BTS). To determine the location and other purposes it may be necessary to identify the BTS, which gave each of these received signals.

Fig. 5 is a sequence chart of operations of a process 500 for identifying transmitters for signals received by this terminal, using the scheme of direct comparison of capacities. The process 500 can be performed various system modules, such as the terminal subsystem BTS, MSC and PDE.

First you get some amount of the received signals for a certain number of subsystems BTS (step 512). It signals received by the terminal from the BTS subsystems. If BTS identification is performed by a module other than the terminal, a list of these received signals and related information are provided in this module. Usually one of the received signals is derived from the BTS with which this terminal brought its time reference, and this BTS is often listed as the reference BTS. Identification information and other information for reference BTS (such as its location and area coverage) generally known (for example, based on the signaling messages transmitted this BTS, and the database of the base station, which has a module for computing the location). For the remaining received signals subsystem BTS, which gave each of these signals can be identified, one signal at a time through the loop 520.

To identify the selected first signal (for example, by setting the index j by 1, or j=1) (step 514). To do this, the selected received signal is determined the list of candidates BTS subsystems that could transmit this signal (step 522). The definition of this list of candidates is described below. Then define a coverage area to use for the selected received signal (step 524). For the first iteration of the coverage area may be set as the coverage area of the reference BS. Coverage can also be installed on some other region like structure known as an accepted reference BTS, or the coverage area of the repeater deployed for the reference BTS.

Then, for each candidate subsystem BTS in the list is the predicted power Wi,jbased on the coverage area (step 526). In particular, different options for coverage (for example, terrain, land cover/land use, and so on) can be provided in the model predictions of path loss. Predicted power can also be obtained, for example, for the center of mass of the coverage (i.e. the location of the terminal m may be chosen as the center of mass coverage). The result of step 526 is a list of the predicted capacity for a list of candidates subsystems (BTS). Predicted power Wi,jfor each candidate subsystem BTS is then compared with the measured power Ecjthe selected received signal (step 528). The candidate subsystem BTS with the predicted power closest to the measured power is then identified as the BTS for the selected received signal (step 530). This condition can be expressed as:

where Wi,jis the predicted power of the j-th received signal for the i-th candidate subsystem BTS,

Ecjis measured m is mnost j-th received signal, and

Ijsubmit a list of candidates-BTS subsystems for the j-th received signal.

Then is finding out, all or none of the received signals have been identified (step 532). If the answer is Yes, then the process ends. Otherwise, it selects the next signal (e.g., by incrementing the index j, or j=j+1) (step 534). The process then returns to step 522 to identify the BTS for this new selected received signal.

For each iteration through the loop 520 selects one signal, and BTS, which gave this selected signal is identified by using a direct comparison of capacities. For each of the selected received signal by first determining the list of candidates subsystem BTS for this signal at step 522, and the coverage area to use for this signal determined in step 524.

The coverage area for the first iteration can be installed on the coverage area of the reference BTS, as described above. The coverage area for each iteration can be installed on the composite coverage area for all BTS subsystems that have been identified. For example, the coverage area for the second iteration can be installed on the composite coverage area obtained based on the coverage of the reference BTS and BTS for the first selected received signal (i.e. the first of the identified BTS), which was identified in the first iteration. Coverage for third iteration can be installed on the composite coverage area obtained based on the coverage of the reference BTS and the first and second identified BTS subsystems (i.e. subsystems BTS for the first and second selected received signals). If the predicted power for candidates-BTS subsystems are obtained for the center of mass coverage, the predicted power obtained based on the most recent center of mass for each iteration through the loop 520.

Fig. 6 is a diagram showing the definition of the coverage area for the second received signal intended for identification. In Fig. 6 the coverage area of the reference BTS seems to be around 610 and area coverage of the first identified BTS seems to be around 612. Coverage for the second received signal is the composition of the coating areas of the reference BTS and the first identified BTS. This coverage area is represented with a circle 620 and is an area where the terminal can receive signals from both of these subsystems (BTS). Coverage can be obtained as the Union of the coverage areas of the two subsystems (BTS). The center of mass of this coverage represents the new center of mass, which can be used as location (m) of the terminal in the model prediction power for vtoro what about the received signal.

The coverage area of each BTS may be modeled in different ways. For example, BTS coverage area may be modeled based on the maximum area of the antenna (maximum antenna range, MAR) subsystem BTS, the location and orientation of the BTS antenna and so on.

Comparison of the relative power

Fig. 7 shows the identification subsystem BTS for one received signal at the terminal using the schema compare relative power. This received signal is determined by the list of candidates-BTS subsystems that could transmit this signal. It is assumed that the relevant information for each candidate subsystem BTS (such as power P and antenna gain (G) is known or can be ascertained. Also defined coverage area to use for this signal.

For each candidate subsystem BTS in the list is built, the hypothesis that the received signal was transmitted from this BTS. The predicted power of the received signal can then be obtained for this BTS when the model is used to predict path loss and information for BTS and coverage. Based on all these parameters, the model prediction power provides the predicted power Wifor the i-th candidate subsystem BTS.

The predicted power is obtained for each Kahn is date-subsystem BTS in the list. Additionally, the predicted power Widalso obtained for the identified BTS. This identified BTS may be a reference BTS or BTS, which was previously identified. Relative predicted power for each candidate subsystem BTS can be defined as |Wid-Wi|. The relative measured power for the received signal may be determined |Ecid-Ec|.

For a method of comparing the relative power relative predicted power for each candidate subsystem BTS is compared to the relative measured power for the received signal. The candidate subsystem BTS with relative predicted power closest to the measured relative power, then identified as the one that gave the received signal. This condition can be expressed as

where Wiis the predicted power for the i-th candidate subsystem BTS,

Widis the predicted power for the identified BTS,

Ec is the measured power of the received signal, which identifies and

Ecidis the measured power of the signal from the identified BTS.

Fig. 8 is a sequence chart of operations of a process 800 for identifying transmitters for signals received by the terminal using the CX is mu compare the relative capacities. First you get a certain amount of received signals for a certain number of subsystems BTS (step 812). Again one of the received signals are usually derived from the reference BTS, whose identity is known. Then, for each of the remaining received signals can be identified subsystem BTS, one at a time through loop 820.

The first signal is selected for identification (step 814), and determined the list of candidates-BTS subsystems that could transmit this signal (step 822). Then define a coverage area to use for the selected received signal (step 824). For the first iteration of the coverage area may be set as the coverage area of the reference BTS. For each subsequent iteration, the coverage area can be installed as an integral area of coverage for all BTS subsystems that have been identified.

Then select the identified BTS for use in this iteration (step 825). Identified BTS is one whose predicted power and the measured power will be used to obtain the predicted relative power and relative power consumption measured respectively. For the first iteration of the identified BTS may be the reference BTS. For each subsequent iteration of the identified BTS may be a reference BTS, BTS and antipirirovannyh in the last iteration, identified BTS with a coverage area that overlaps the coverage area of a more just, all BTS subsystems that have been identified so far, or any combination of subsystems (BTS).

Then, for each candidate subsystem BTS in the list is the predicted power Wi,jbased on the coverage area (step 826). Predicted power Wid,jalso obtained for the identified BTS. The predicted power for each BTS can get to the center of mass coverage. The result of step 826 is a list of the predicted capacity for a list of candidates-BTS subsystems and predicted power for the identified BTS. Then is determined by the relative predicted power for each candidate subsystem BTS |Wid,j-Wi,j|. The relative measured power for the received signal is defined as |Ecid,j-Ecj|.

Relative predicted power for each candidate subsystem BTS is then compared with the relative measured power for the received signal (step 828). The candidate subsystem BTS with relative predicted power closest to the measured relative power, then identified as a subsystem BTS for the selected received signal (step 830). This condition can be expressed as:

where Wi,jis the predicted power of the j-th received signal for the i-th candidate subsystem BTS,

Wid,jis the predicted power for the identified BTS used for the j-th received signal,

Ecjis the measured power of the j-th received signal, and

Ecid,jis the measured power of the signal from the identified BTS.

If the identified BTS uses multiple subsystem BTS, the predicted power Wid,jcan be calculated as the average predicted power for these subsystems BTS, and the measured power Ecid,jcan also be calculated as the average power consumption measured for these subsystems (BTS).

Then is the definition, all or none of the received signals have been identified (step 832). If the answer is Yes, then the process ends. Otherwise, it selects the next received signal (step 834). The process then returns to step 822 to identify the BTS for the new selected received signal.

For each iteration through the loop 820 selects one signal, and is identified BTS, which gave this selected signal, using a comparison of relative power. For each of the selected received signal by first determining the list of candidates subsystem BTS for this signal at step 822, the treatment area is s, to use this signal determined in step 824, and identified BTS is selected at step 825. The predicted power for candidates-subsystems and the identified BTS subsystems, thus obtained, based on the most recent center of mass for coverage.

Comparison circuit relative power can provide more accurate results than the direct comparison of capacities. This is because the comparison circuit relative power may have the ability to remove common errors that appear for candidates-subsystems, and so identified subsystems (BTS).

Comparison of capacity and delays

The propagation delay can also be used in combination with the predicted capacities to identify subsystem BTS for received signals. For many wireless communication systems, the transmission time and the arrival time (time of arrival, TOA) of each received signal may be measured, based on the information in the signal. For the CDMA system time of the transmission and arrival of each received signal can be determined based on the phase of the PN sequence used for the spectral distribution. Propagation delay PDmeasfor each received signal can then be calculated as the difference between the arrival time and the transmission time for this is about the signal.

Propagation delay can also be predskazivati for each BTS, based on the distance between the BTS and the terminal. In particular, the predicted propagation delay PDpredcan be calculated based on the distance for the path line of sight between locations subsystem BTS (which is known) and location (m) of the terminal.

For scheme a direct comparison of capacity and delays subsystem BTS for this received signal can be defined as:

where PDpred,iis predicted propagation delay for the i-th candidate subsystem BTS,

PDmeasis the measured propagation delay for the received signal, which is identified

αpis the weighing factor used to predict power, and

αdis the weighing factor used to predict the propagation delay.

Other members in equation (6) described above for equation (2). In equation (6) the value of |Wi-Ec| it "Delta power" for the i-th candidate subsystem BTS, which is the difference between the predicted power for this BTS and the measured power of a received signal. Value |PDpred,i-PDmeas| is "Delta delay" for the i-th candidate subsystem BTS, which is the difference between predicted the delay for this BTS and the measured delay for the received signal. Weighing the odds αpand αddetermine the weight that should be given Delta power and the Delta delay, respectively, in the identification subsystem BTS for the received signal.

For schema compare relative power and delay subsystem BTS for this received signal can be defined as:

where PDpred,idis predicted propagation delay for the identified BTS, and

PDmeas idis the measured propagation delay for the identified BTS.

Other members in equation (7) described above for equations (4) and (6). In equation (7) the value of |Wid-Wi|-|Ecid-Ec| is the relative Delta power for the i-th candidate subsystem BTS. Value |PDpred,id-PDpred,i|-|PDmeas id-PDmeas| is "relative Delta delay for the i-th candidate subsystem BTS.

Fig. 9 is a sequence chart of operations of a process 900 for identifying transmitters for signals received by the terminal, when using the comparison circuit capacities and delays. First you get a certain amount of received signals for a certain number of subsystems BTS (step 912). One of the received signals are usually derived from the reference BTS, and then can be identified subsystem BTS for each of the remaining received signal is Alov.

Selects the first received signal to identify (step 914), and determined the list of candidates-BTS subsystems that could transmit this signal (step 922). Then define a coverage area to use for the selected received signal (step 924). Coverage area can be set as (1) the coverage area of the reference BTS for the first iteration, or (2) a composite area coverage for all of the identified subsystems BTS, for each subsequent iteration. If you are a relative comparison, the identified BTS is selected for use, as described above for Fig. 8 (step 925). If a direct comparison, step 925 may be skipped. Step 925 may run or may not run, and this is shown using a dashed block.

Then the predicted output and the predicted propagation delay obtained for each candidate subsystem BTS in the list, based on the coverage area (step 926). If you are a relative comparison, the predicted power and the delay is also obtained for the identified BTS. The result of step 926 is a list of the predicted capacities and delays for a list of candidates subsystem BTS (and possibly predicted power and delay for the identified BTS). Predicted power and delay for each BTS can be obtained for the center of the ACC coverage. Direct (or relative) predicted capacity and delay for each candidate subsystem BTS then compared with direct (or relative) measured power and delay for the selected received signal (step 928). The candidate subsystem BTS with direct/relative predicted power and delay, the closest to direct/relative measured power and delay, then identified as BTS for the selected received signal (step 930).

The condition for comparison of direct power and delay can be expressed as:

The condition for comparing the relative power and delay can be expressed as:

In equations (8) and (9) the subscript j denotes the j-th received signal, which is identified.

Then is the definition, all or none of the received signals have been identified (step 932). If the answer is Yes, then the process ends. Otherwise, it selects the next received signal (step 934). The process then returns to step 922 to identify the BTS for the new selected received signal.

Schematic comparison of capacity and delays can provide more accurate results than the comparison circuit capacity. This is because the further the traveler information provided by the propagation delay, is used to identify the subsystem BTS for received signals.

Positioning

Fig. 10 is a sequence chart of operations of a variant implementation of a process 1000 for determining the location of the wireless terminal based on the BTS subsystems that have been identified when using the predictions of power. Similarly, the processes 500, 800, and 900, the process 1000 may be performed by various system modules, such as the terminal subsystem BTS and PDE.

First you get a certain amount of received signals for a certain number of subsystems BTS (step 1012). Then identified subsystem BTS for received signals using a specific prediction schemes (step 1014). This scheme predictions can be (1) a direct comparison of capacity, (2) a comparison circuit relative power, (3) a direct comparison of capacity and delays or (4) a comparison circuit relative power and delay. The results of step 1014 are identification information of the BTS subsystems for received signals.

Then determined to assess the location for the terminal based on the identified subsystems (BTS). For a direct comparison of the capacity is determined by the (square root of sum of squares) error between the pre is skatyvanie capacity and measured capacities for all of the identified subsystems BTS on the candidate location m terminal (step 1016), as follows:

where Wk(m) is the predicted power for the k-th identified BTS in the candidate-location m,

Eckis the measured power of the k-th identified BTS, and

K - this is the list of the identified subsystems BTS used to obtain an estimate of the location for the terminal. Then is the definition, all or none of the candidates-the location for the terminal were evaluated (step 1018). If the answer is no, then selects the next item in the list of candidate locations (step 1020), and the process returns to step 1016 to determine the error for this new candidate location.

If all candidate locations were evaluated, as determined at step 1018, the candidate-location associated with the minimum error, is provided as an estimate of the location for the terminal (step 1022). This can be expressed as

where M is a list of candidate locations for the terminal. Then the process is terminated.

The location of the terminal can also be estimated based on the method of comparing the relative capacities. In this case, the following applies:

where Wk(m) is the predicted power for the k-th identified BTS in the candidate-location m;

Wid,k(m) - e what about the predicted power for assigned BTS, which is used as a benchmark for the k-th identified BTS, the candidate-location m assigned to the BTS can be any of the identified subsystems BTS;

Eckis the measured power of a received signal from the k-th identified BTS; and

Ecid,kis the measured power of the signal from the BTS to the k-th identified BTS.

The location of the terminal can also be estimated based on the method of direct comparison of capacity and delays. In this case, the following applies:

where PDpred,k(m) is the predicted delay for the k-th identified BTS in the candidate-location m,

PDmeas,kis the measured delay for the k-th identified BTS, and

other members are as defined above.

The location of the terminal can also be estimated based on the method of comparing the relative power and delay. In this case, the following applies:

where PDpred,k(m) is the predicted delay for the k-th identified BTS in the candidate-location m,

PDpred,id,k(m) is the predicted delay for the designated BTS, which is used as a benchmark for the k-th identified BTS, the candidate-location m assigned to the BTS can be any of the identified subsystems BTS,

PD meas,kis the measured delay for the k-th identified BTS,

PDmeas,id,kis the measured delay for the designated BTS for the k-th identified BTS, and

other members are as defined above.

The way a direct comparison of capacity, the method of comparing the relative power, the way a direct comparison of the capacity and delay, and the method of comparing the relative capacities and delays can every single be used to estimate the location of the terminal, as described above. Each of these methods may also be used in conjunction with method enhanced forward link trilateration (Advanced Forward Link Trilateration, A-FLT) (or some other equivalent method)to estimate the location of the terminal. A-FLT known in the art and is not described here. When combined with A-FLT way A-FLT way first can be used to obtain an initial estimate of the location of the terminal with a specific location uncertainty. It then gets a list of candidate locations for the terminal based on the initial assessment of the location and uncertainty of the location. Can then apply the method of direct comparison of the capacity or the way a direct comparison of capacity and delays, to obtain a final estimate of the location of the terminal, as described to enter the. A-FLT method is thus used to obtain a list of candidate locations from which to choose the final evaluation of the location.

The list of candidates

The method and apparatus here described, to identify the transmitter for the received signals can be used in various wireless communication systems. For clarity, various aspects of the disclosed method and device are now described specifically for the CDMA system, which may be an IS-95 or cdma2000 system. In the CDMA system, each BTS spectral distributes your data with a PN sequence to transfer data through a wireless channel. (PN sequence is specified as scramblase code in W-CDMA.) The same PN sequence used by all subsystems BTS in a CDMA system. However, in order to enable the terminal to distinguish between different subsystems BTS in the system, each BTS is assigned a special shift of the PN sequence. That is the beginning of the PN sequence for each BTS is late for a scheduled shift, which is typically in multiples of 64 elementary signals. Each elementary signal corresponds to one bit in the PN sequence.

Each BTS transmits a pilot signal that is used by the terminal to estimate the wireless channel for timing and tracking frequencies, the th and for other purposes. The pilot signal is typically a sequence of either all zeros or all ones that spectral spread by the PN sequence. The pilot signal for each BTS is typically transmitted at a known (or which can be ascertained) power level.

On a given terminal signals from a number of subsystems BTS can be accepted by the terminal. Moreover, the signal transmitted from each BTS may be taken through multiple path signals. Thus, the terminal can accept one or multiple signal instances for each of a number of subsystems (BTS). All of these signal instances will be included in the input signal of the receiver terminal (i.e. the signal from the antenna terminal).

For CDMA, typically used finder to search for in the input signal of the receiver to search for strong signal instances. The search is usually performed by correlating the input signal of the receiver PN sequence at different phases. If the signal instance is present on any given PN phase, it turns out vysokokoncentrirovannym result. Each found an advance copy of a sufficient strength can be characterized by (1) the arrival time at the terminal and (2) measured capacity (Ec) or received signal strength (Ec/Io). The time of arrival of each of the th signal instance may be specified by PN phase, which in turn is determined by (1) PN offset assigned to the subsystem BTS that transmits the signal, and (2) the propagation delay experienced by a signal instance (i.e. PNrx=64·PNoffset+PNdelaywhere PN offset is in units of 64 PN elementary signals). Since the propagation delay is usually much less than one PN offset PN phase of the signal instance can be used to determine PN offset subsystem BTS, which gave the signal (i.e. PNrx≈64·PNoffsetsince PNdelay<<64 elementary signals).

As the seeker usually handles the pilot signal, to search for strong signal instances in the input signal of the receiver, the measurement for each signal instance is often specified as the measurement phase of the pilot signal. The power of this pilot signal as received at the terminal, can be used as the measured power for the signal instance. Received signal strength for the signal instance can be obtained as the ratio of pilot power to total noise and interference in the input signal of the receiver.

As noted above, a number of signal instances may be made by the terminal for a given BTS. Signal instances for the same BTS can be identified as such, so the AK they have the PN phase inside a particular window. Usually only one signal instance from each BTS is used for positioning. If the timing of a received signal (e.g., such as the delay of the passage there and back) is used to determine the location, it usually selects the earliest arriving signal instance. If you are using the power of a received signal (for example, as described above for schemes comparison of capacity), you can get the strongest signal instance. In any case, one signal instance can be selected for each BTS, and this selected signal instance may be considered as a signal for this BTS. Thus, received signals at the terminal may be determined based on the PN phase (and possibly power) pilot signals received at the terminal.

For a CDMA system, each BTS is assigned special PN offset that is different from the PN offsets assigned to neighboring BTS subsystems. However, due to the limited number of available PN offsets, multiple BTS subsystems in the system may be assigned the same PN offset. Thus, in certain instances it is impossible to clearly identify this BTS, based solely on the PN phase of the signal received from the BTS.

To identify each received signal, the list of candidates subsystem BTS for this signal m which may consist of those assigned to the same PN offset as the offset of a received signal. For example, if the PN phase of the received signal indicates that the transmitting BTS has a PN offset equal to 25, the candidates subsystem BTS for this signal will have a PN offset that is equal to 25.

The prediction power

The predicted power for each BTS can be obtained based on empirical formulas. For example, the predicted power for a given candidate subsystem BTS can be expressed as

W=P+G-Lpath,Ur.(15)

where Lpath- it's a complete loss for pathways between the BTS and the terminal. Total loss on the road can be provided by the model predictions of path loss. Values in equation (13) is set in units of dB.

Total loss on the road Lpathinclude a number of components and can be expressed as

Lpath=Lbasic+Ltopo+Lcover,Ur. (16)

where Lbasicis the empirical loss on the road in the reference environment, which is usually an urban area

Ltopois the empirical coefficient topological correction, which depends on the profile elevation of the path (i.e. Ltoporelevant is the duty to regulate the T parameter in the model predicting path loss), and

Lcoveris an empirical correction factor, which describes the deviation from the Lbasicfor different types of land cover (i.e. Lcovercorresponds to the parameter L in the model).

Basic loss on the road Lbasicin urban areas can be obtained by using the formula provided by the model Okumura-Hata, which can be expressed as:

Lbasic=69,55+26,16log10(fc)-13,82log10(hb)-a(hm)+

(44,9-6,55·log10(hb))·log10(d)
Ur.(17)

where fcis the frequency in MHz (150-1500 MHz)

hbis the effective height of the BTS antenna in meters (30-200 m),

hmis the effective height of the antenna terminal in meters (1-10 meters),

d is the distance between the BTS and terminal in km (1-20 km), and

a(hm) is the correction factor for the height of the antenna terminal, which is defined as

a(hm)=(1,1log10(fc)a-0.7)·hm-(1,56log10(fc)-0,8), for large/small towns,

a(hm)=3,2(log10(11,75·hm))2-4,97, for large cities and fc>400 MHz.

Equation (15) is valid for special ranges of values for each parameter that is specified inside the parentheses.

The topological coefficient correction Ltopo can be used when the terrain is not flat (for example, with a surface roughness greater than 20 meters). This correction factor can be expressed as

Ltopo=Kh+Ks+Ki,Ur.(18)

where Khis the correction factor for the hills,

Ksis the correction factor for bending, and

Kiis the correction factor for isolated protrusions.

The correction factors Kh, Ksand Kican be defined for different topologies and stored in some database.

The correction factor for the land cover Lcoverdescribes the impact of obstacles on the ground such as buildings and vegetation. Since the antenna is typically located at ground level, the signal must pass over, around or even through obstacles to reach the terminal. The formula used to estimate losses on the road in the wireless channel, is usually given to the environment in urban areas. You can then use the correction factor for the land cover to regulate the amount of losses on the route provided by the formula. For example, for environments such as rural areas and water loss on the road is much less than the value of the path loss that is provided by the formula. Therefore, the good correction factor for the land cover can be deducted from the value provided by formula to get a more accurate value of the predicted path loss for the considered environments. The correction factor for the land cover can be determined for various types of coverings of the earth (for example, water, open areas, forests, urban areas, suburban areas, large cities, and so on) and stored in some database.

Model Okumura-Hata additionally described in the article by Y. Okumura et al., entitled "Field Strength and its Variability in VHP and UHF Land Mobile Radio Service," Review of the El Comm Lab, Vol. 16, No. 9-10, 1968, which is included here by reference.

The predicted power for each BTS may also be based on measured data (i.e. operational data) instead of the model predictions of path loss. Received power for BTS subsystems can be measured terminals located throughout the system. The measured power and the location of the terminal (which can accurately be determined using GPS) can then be communicated back to the system. Then can be maintained database with the measured power for BTS subsystems, in various locations throughout the system. Alternative or additional test terminals can be used to measure power in various locations throughout the system. In any case, the predicted power for podcast the m BTS can be based on the measured power, which is stored in the database.

Adopted relative strength Ec/Io of the signal can be used instead of the measured power to identify subsystem BTS for received signals. However, it is usually easier to predict adopted the power terminal than the adopted relative strength of the signal.

System

Fig. 11 is a simplified block diagram of various modules of the system 100. Terminal 106x may be a cellular phone, a computer with a wireless modem, an Autonomous position determination device or some other device. Subsystem BTS 105x shown operatively connected with PDE 130x (for example, through the BSC 120, which are not shown in Fig. 11 for simplicity).

Direct channel BTS 105x transmits the pilot signal and the alarm terminals within its coverage area. These different types of data are processed (e.g., encoded, modulated, filtered, amplified, quadrature modulated, and is converted improvement) modulator/transmitter (Mod/TMTR) 1120 to provide a modulated signal of a direct channel, which is then transmitted through the antenna terminals 1122.

Terminal 106x receives modulated signals direct channel from a number of subsystems BTS (including BTS 105x) in the antenna 1152. The input to the receiver from the antenna 152, thus, it includes a number of received signals and provides it to the receiver/demodulator (RCVR/Demod) 1154. Then RCVR/Demod 1154 processes the input signal of the receiver complementary manner to provide various types of information that can be used for BTS identification and location. In particular, RCVR/Demod 1154 can provide time of arrival and either the measured power or adopted by the strength of the signal for each received signal. RCVR/Demod 1154 may implement a rake receiver (rake receiver), which is able to simultaneously process multiple signal instances (or multipath components) for the number of subsystems (BTS). The rake receiver includes a number of processors of taps of the receiver (or taps of the receiver), each of which can be assigned to process and track a particular multipath component.

On the reverse channel, the terminal 106x can transmit data, a pilot signal and/or alarm system for the reference BTS (e.g., BTS 105x). These different types of data processed by a modulator/transmitter (Mod/TMTR) 1164 to provide a modulated signal of the backward channel, which is then transmitted through the antenna 1152. BTS 105x receives a modulated signal return path from terminal 106x antenna 1122, and input from the drove of the receiver from the antenna 1122 is provided to the receiver/demodulator (RCVR/Demod) 1124. Then RCVR/Demod 1124 processes the input signal of the receiver complementary manner to provide various types of information, which can then be provided to processor 1110.

In the embodiment shown in Fig. 11, a communication (Comm) port 1114 inside BTS 105x operatively connected (e.g., via BSC) with the communication port 1146 inside PDE 130x. Communication ports 1114 and 1146 allow BTS 105x and PDE 130x to share relevant information for BTS identification and location. Some of this information may be taken from terminal 106x.

Identification subsystem BTS and the location of the terminal using the predicted power and possible delays, can be performed by the terminal 106x, BTS 105x, PDE 130x or some other network module. The module that performs BTS identification and/or location, is supplied relevant information. Such information may include, for example, a list of the signals received by the terminal 106x, the measured power (or received signal strength) and possibly the propagation delay of these received signals, the identification information of the reference BTS and so on.

Processing to identify the subsystem BTS for received signals and to determine the estimate of the location of the terminal can be performed on what redstem (1) processor 1160 inside the terminal 106x, (2) processor 1110 inside BTS 105x or (3) processor 1140 inside PDE 130x. Storage device 1112, 1142 and 1162 may be used to store various types of information used for BTS identification and location, such as, for example, a list of received signals, the measured power and delay and so on. Storage device 1112, 1142 and 1162 can store program codes and data for the processor 1110, 1140 and 1160, respectively. Base 1144 data within PDE 130x can be used to store information used for the model predictions of path loss, such as information about the area and the land cover/land use. Alternative or additionally, the base 1144 data can be used to store operational data for the measured capacities and possible delays in various locations throughout the system.

The method and apparatus here described, may be implemented by various means, as in hardware, software or a combination of this. For a hardware implementation, the method and apparatus may be implemented within one or more specific integrated circuits (ASIC), digital signal processors (DSPS), digital signal processing (digital signal processing devices, DSPD), programmable logic devices (PLD), the program which has been created by the user gate arrays (FPGA), processors, controllers, microcontrollers, microprocessors, other electronic devices, designed to perform the functions described here, or combination.

For software implementation of the method here described, may be implemented with modules (e.g., procedures, functions, and so on)that perform the functions described here. Software codes may be stored in a storage device (for example, storage device 1112, 1142 or 1162 in Fig. 11) and executed by a processor (e.g. processor 1110, 1140 or 1160). The storage device may be implemented within the processor or external to your processor, in this case, it may communicative to connect to the processor via various means as is known in the art.

Titles included here for reference and to assist in the location of certain sections. These titles are not intended to limit the scope of the concepts described below, and these concepts can be applied in other sections of this description.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily visible to the specialists in this is blasti, and the General principles defined here, can be applied to other variants of implementation without departing from the spirits or scope of this invention. Thus, the present invention is not intended to be limited options for implementation shown here, but he should be given the largest amount that is compatible with the principles and distinguishing features disclosed in the accompanying claims.

1. Method for identifying transmitters in a wireless communication system, in which

provide plenty of received signals for a variety of transmitters; and

determine the transmitter for each received signal by determining a list of candidates-transmitter for the received signal, obtaining the predicted power for each candidate transmitter in the list, and

identification of the transmitter for the received signal based on the predicted capacities for candidates-transmitters and measured power for the received signal.

2. The method according to claim 1, in which the detection phase of the transmitter for each received signal also includes comparing the predicted power for each candidate transmitter with the measured power for the received signal, and the identified transmitter for the received signal is a candidate-peredach the bowl from the predicted power closest to the measured power.

3. The method according to claim 1, in which the detection phase of the transmitter for each received signal also includes the determination of coverage to use for the received signal, and the predicted power for each candidate transmitter is obtained based on the coverage area.

4. The method according to claim 3, in which the predicted power for each candidate transmitter is provided for the center of mass coverage.

5. The method according to claim 3, in which the coverage area is displayed based on one or more areas covering one or more of the identified transmitters.

6. The method according to claim 1, in which the predicted power for each candidate transmitter is determined based on the model predictions of path loss.

7. The method according to claim 6, in which the model predictions of path loss is based on the model Okumura-Hata.

8. The method according to claim 1, in which the predicted power for each candidate transmitter is determined based on the operational data.

9. The method according to claim 1, in which the wireless communication system is a CDMA system.

10. The method according to claim 9, in which the list of candidates transmitter for each received signal is the list of base station transceivers (BTS subsystems) with the same pseudo-random number is new (pseudo-random number, PN) offset.

11. The method according to claim 1, in which the detection phase of the transmitter for each received signal also includes ensuring that the predicted propagation delay for each candidate transmitter in the list, and

the transmitter for the received signal is also identified based on the predicted latency distribution for candidates-transmitters and the measured propagation delay for the received signal.

12. The method according to claim 11, in which the detection phase of the transmitter for each received signal also includes the determination of Delta power for each candidate transmitter as the difference between the predicted power for the candidate transmitter and the measured power of a received signal, determining Delta propagation delay for each candidate transmitter as the difference between the predicted propagation delay for a candidate transmitter and the measured propagation delay for the received signal, and obtaining a weighted sum of Delta power Delta propagation delay for each candidate transmitter, and the identified transmitter for the received signal is a candidate transmitter with the lowest weighted sum.

13. The method of identifying transmitters in a wireless communication system, according to which both is that a lot of received signals for a variety of transmitters and determine the transmitter for each received signal by determining a list of candidates-transmitter for the received signal, obtain the predicted power for each candidate transmitter in the list, obtain the predicted power for the identified transmitter, determine the transmitter for the received signal based on the predicted capacities for candidates-transmitters, the predicted power for the identified transmitter, the measured power of the received signal and the measured power for the identified transmitter.

14. The method according to item 13, in which the detection phase of the transmitter for each received signal also includes comparing the relative predicted power for each candidate transmitter with relative measured power for the received signal, and the relative predicted power is the difference between the predicted power for the candidate transmitter and predicted power for the identified transmitter, and the relative measured power is the difference between the measured power of the received signal and the measured power for the identified transmitter, and

moreover, the identified transmitter for each received signal is a candidate transmitter with relative predicted power closest to the measured relative power.

15. The method according to item 13, on katharometer determine the transmitter for each received signal also includes the determination of coverage, to use for the received signal based on one or more areas of coverage of one or more of the identified transmitters, and predicted power for each candidate transmitter is obtained based on the coverage area.

16. The method according to item 13, in which the wireless communication system is a CDMA system.

17. The method according to item 13, in which the detection phase of the transmitter for each received signal also includes obtaining the predicted propagation delay for each candidate transmitter in the list and obtain the predicted propagation delay for the identified transmitter, and the transmitter for the received signal is also identified based on the predicted latency distribution for candidates-transmitters, the predicted propagation delay for the identified transmitter, the measured propagation delay for the received signal and the measured propagation delay for the identified transmitter.

18. The method according to 17, in which the detection phase of the transmitter for each received signal also includes the definition of the Delta relative power for each candidate transmitter, the definition of the Delta relative propagation delay for each candidate transmitter receiving in Vesenniy amount of Delta relative power and Delta relative propagation delay for each candidate transmitter, and the identified transmitter for the received signal is a candidate transmitter with the lowest weighted sum.

19. Device for identifying transmitters in a wireless communication system containing a means for providing multiple received signals to multiple transmitters; means for determining the set of lists of candidates-transmitters for multiple received signals, a single list of candidates for each received signal; means for obtaining a predicted power for each candidate transmitter and a means for identification of the transmitter for each received signal based on the measured power for the received signal and the predicted capacities for candidates-transmitters in the list specified for the received signal.

20. The device according to claim 19, which also contains

the means for determining the coverage area to use for each received signal, and the predicted power for each candidate transmitter for each received signal is obtained, based on the coverage area for the received signal.

21. The device according to claim 19, in which the predicted power for each candidate transmitter is determined based on the model predictions of path loss.

22. The device according to item 21, in which model predictions of loss is and the track is based on the model Okumura-Hata.

23. The device according to item 21, which also contains means for storing information used for the model prediction of the path loss.

24. The device according to claim 19, which also contains

means for obtaining a predicted power for the identified transmitter for each received signal, and a transmitter for each received signal is also identified based on the predicted power for the identified transmitter for the received signal.

25. The device according to claim 19, which also contains a means for obtaining the predicted propagation delay for each candidate transmitter, and the transmitter for each received signal is also identified based on the measured propagation delay for the received signal and the predicted delay distribution for candidates-transmitters in the list specified for the received signal.

26. The device according to claim 19, in which the wireless communication system is a CDMA system.

27. A storage device that stores used by the processor of a computer program product for identifying transmitters in a wireless communication system containing code for providing a variety of received signals for a variety of transmitters; code for defining a set of lists of candidates transmitters damnedest received signals, one list of candidates for each received signal; code for obtaining the predicted power for each candidate transmitter and a code for identification of the transmitter for each received signal based on the measured power for the received signal and the predicted capacities for candidates-transmitters in the list specified for the received signal.



 

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23 cl, 7 dwg

FIELD: physics, communication.

SUBSTANCE: invention is related to communication systems. Method of channel scores transmission on multiple subcarriers between transmitting device and receiving device is based on the fact that transmitting device determines channel scores on multiple subcarriers, and then codes these multiple scores into at least one coded channel signal, then transmitting device sends at least one coded signal to receiving device.

EFFECT: provides efficient presentation of channel data to transmitter with the purpose of their application in closed transmission.

10 cl, 11 dwg, 1 tbl

FIELD: physics, communication.

SUBSTANCE: invention is related to systems of wireless communication. Method and system for distribution of data bursts in system of wireless communication with availability of frame installed along symbol interval axis and frequency band axis, frame includes the first area, in which MAP-message is transmitted, and the second area, to which data bursts are distributed, the third area on the basis of symbol interval and frequency band is located in the second area, data bursts are serially distributed to the third area from the first interval of symbol along axis of frequency band.

EFFECT: provision of efficient distribution of data bursts in system of wireless communication.

14 cl, 2 dwg

FIELD: physics, communication.

SUBSTANCE: present invention is related to technology of development of efficient service of broadcasting group transfer of data for mobile stations from base station, which performs broadcasting group transfer of data in wireless network, in which every of mobile stations inputs information that designates property of quality of service (KO, QoS), for generation of message on the basis of input information, and for transfer of generated message to base station that performs broadcasting transfer of group data.

EFFECT: optimisation of data group transfer.

39 cl, 7 dwg

FIELD: physics, communication.

SUBSTANCE: invention is related to equipment of mobile communication. Method is suggested for provision of broadcasting service in system of mobile communication that includes multiple cells. Method includes transfer of broadcast programs information, related to available broadcast programs, information related to broadcasting and required for reception of available broadcast programs, and information of broadcasting zones identification to access terminal; and transfer of broadcasting service to access terminal.

EFFECT: provision of possibility for the terminal not to enter into condition of service failure, when crossing the border of new broadcasting zone.

13 cl, 14 dwg,1 tbl

FIELD: communications.

SUBSTANCE: methods for limitation of cellular unit reselection according to changes in quality of communication links are submitted. In one aspect the result of measurement of received from basic station pilot-signal power is used as indication of communication link quality. In other aspect hysteresis is used to limit cellular unit reselection, at that, hysteresis value is larger in mediums with relatively high communication link quality and smaller in mediums with relatively low communication link quality. Also various other aspects are presented.

EFFECT: methods provide advantages of cellular unit reselection decrease thereby increasing time in low power consumption mode to decrease power consumption and increase waiting time.

27 cl, 6 dwg

FIELD: communications.

SUBSTANCE: mobile user station accepts information about neighboring basic stations from service basic station and monitors frequency bands of neighboring basic stations included into information about neighboring basic stations, if connection break has been detected to locate target basic stations allowing servicing as new service basic station for data exchange with mobile user station when connection break occurs in mobile user station. Mobile user station chooses new service basic station from located target basic stations so that mobile user station could reestablish connection with new service basic station within short period of time.

EFFECT: decrease of time delay for data exchange recovery when connection has been broken.

73 cl, 17 dwg, 16 tbl

FIELD: communications.

SUBSTANCE: method for control of reverse direction data transmission rate by mobile station in mobile communications system supporting high-speed transmission of packet data is represented. The method includes receiving average load information (FRAB) from basic station when mobile station attempts to get initial access to basic station, establishment of received average load information as average load information for basic station and after receiving reverse activity information (RAB) from basic station - control of reverse direction data transmission rate using received reverse activity information and established average load information.

EFFECT: mobile station establishes its own data transmission rate at the moment when it initiates connection with basic station for the first time or initiates connection with new basic station to perform service forwarding.

10 cl, 3 dwg

FIELD: radio communications.

SUBSTANCE: proposed method intended for single-ended radio communications between mobile objects whose routes have common initial center involves radio communications with aid of low-power intermediate transceiving stations equipped with non-directional antennas and dropped from mobile object, these intermediate transceiving drop stations being produced in advance on mentioned mobile objects and destroyed upon completion of radio communications. Proposed radio communication system is characterized in reduced space requirement which enhances its effectiveness in joint functioning of several radio communication systems.

EFFECT: reduced mass and size of transceiver stations, enhanced noise immunity and electromagnetic safety of personnel.

1 cl, 7 dwg, 1 tbl

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