Method and device for determining data transfer resources available for network connections

FIELD: systems for determining amount of available data transfer resources.

SUBSTANCE: for determining amount of resources for data transfer and/or speeds of bits transfer for network connection, with known physical length of cable, measurement of energy spectrum is performed depending on transmission frequency for different types of modems by means of power measuring device, weakening is determined for different physical lengths and thicknesses of cable wires, depending on parameter of cross interference, number of sources and correcting coefficient on bass of energetic spectrum noise level is determined, while by means of gauss transformer module on basis of efficient signal levels and appropriate noise levels amount of data transfer resource is determined for different data transfer modulations and/or modulating codes for predetermined bit transfer speed, then available data transfer resource amount is corrected by means of correcting coefficient, including average deviation of stored amounts of data transfer resources from efficiency amounts of resources of data transfer, and on basis of stored efficient recourses for data transfer with utilization of known physical length of determined network connection available data transfer resource for appropriate network connection is determined.

EFFECT: possible determining of amount of available data transfer resources for certain connection.

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The present invention relates to a method and system for determining resources data for network connections, and in the specified manner and the physical length of a network connection between the transmitter and the receiver are known. In particular, the method relates to networks based on the cable connections with copper conductors.

Traditional telephone services, such as POTS (plain telephone network), connect the traditional way accommodations and small companies with distribution station provider's telephone network via copper wires that suites each other and are called twisted pair. They were originally designed to transmit analog signals, in particular, tone and voice transmission. However, these requirements later with the advent of Internet technology and related data flows have changed and continue to change rapidly at the present time due to the need to provide opportunities to work in real time and multimedia applications both at home and at work.

Data networks, such as intranets and the Internet, are based largely on the so-called shared communication media, for example, on the technology of batch-oriented localizada (LAN) or network coverage (WAN), as for broadband highways network between switches and gateways, and local network connections with bandwidths of less width. Widespread use of package management systems, such as bridges (device pairing local networks or routers, to ensure the connection of local networks to the Internet. The Internet router must be able to forward packets based on various protocols such as IP (Internet Protocol), IPX (internetwork packet exchange), DECNET (Protocol network architecture company DEC), AppleTALK (network stack Apple), OSI (open interaction systems), SNA (system network architecture IBM), etc. the Integration of such networks in order to route packets on a global scale, is a problem for service providers (ISPs), and for manufacturers the necessary hardware.

The most common systems local area networks (LAN) work relatively well when the data rates of the order of 100 Mbit/s With transfer rates above 100 Mbps in most modern network resources network administrators, such as switches packets is not enough to control the distribution of bandwidth (assignment) and user access. Of course, the usefulness of batch-oriented with the TEI for transmitting digital information, especially when a short pulse transmission, has long been recognized. Such networks usually have a structure "from point to point" (point-to-point structure of compounds), and the package is sent from a single sender to a single recipient, with each package includes at least a destination address (destination address). A typical example of this is known IP header of an IP data packet. The network responds to the data packet that sends the packet to the address of the corresponding header. Packet-oriented network can also serve to transmit the data types that require a steady stream of data, such as tone and audioproducer with high quality or video. Commercial use of networks makes it especially desirable for packet-oriented data transmission at the same time was possible and to many destinations. An example of this is the so-called batch transmission for transmitting video and audio data. Thus can be implemented with pay television, the pay broadcast transmission of video data over the network.

However, in next generation applications such as real-time applications and multimedia applications with their higher needs for bandwidth, which should be guaranteed arowana in each moment of time, packet-oriented network Balk at the restrictions. So, the next generation networks must be able to dynamically change the configuration of the network, in order to continue to guarantee the user a predefined bandwidth for the required or agreed quality parameters (QoS - quality of service). Such parameters include, for example, ensuring access, the access performance, tolerance for error, the reliability of data transmission, etc., among all possible target systems. New technologies, such as asynchronous transfer mode (ATM), should contribute to long-term development of networks to create the necessary preconditions for private intranets, and web open access Internet. These technologies promise more cost-effective and scalable solution for such guaranteed due to the QoS parameters of high-quality connections.

Change future systems will affect, in particular, the data flow. The flow data is currently based on the model of server-client, i.e. data from multiple clients are transferred to one or more or from one or more network servers. Customers usually do not create a direct data connection, and communicate with each other through network servers. the p connection type will have its value in the future. Despite this, we should expect that the amount of data transmitted between peers, in the future will be greatly enhanced. Since the ultimate goal networks to meet the requirements, will be really a decentralized structure, in which all systems will have the ability to act as a server and as a client, the data flow connections between peers will increase. Thus, the network should be to create more direct connections to different peers, and, for example, desktop computers will direct connection through the backbone network of the Internet.

Thus, it is clear that for future applications, it is increasingly important to be able to guarantee the user the predefined QoS parameters and large values of the bandwidth.

Data to the end user, in particular, uses the traditional telephone network (PTSN) and/or mobile terrestrial network sharing (PLMN), which were originally developed for pure tones, and not to transfer such amounts of digital data. When determining the QoS parameters that the provider or the telephone service provider can guarantee the user, a crucial role is played by the so-called "Poslednyaya mile. This term is defined distance between the last distribution station telephone network of General use and the end user. That last mile in some cases formed high-performance bre-optic cables, but more often is based on the generic cables with copper conductors as, for example, a cable with a diameter lived 0.4 or 0.6 mm in addition, the cables are not everywhere is laid under the ground in a protected conduit, and there are lots of them laying above the ground on telephone poles, etc. the Result is more noise.

An additional problem with the definition of the maximum QoS parameter is the so-called problems of crosstalk. This problem occurs when the modulation signal on the plot, for example, from the end user prior to distribution station provider of telephone services and back. For the modulation of digital signals in the prior art, for example, xDSL (digital subscriber line), such as ADSL (asymmetric digital subscriber line), SDSL (symmetric digital subscriber line), HDSL (high speed digital subscriber line) or VDSL (ultra high performance digital subscriber line). Mentioned cross-interference is a physical phenomenon that occurs when the modulation data, re anaemic copper cable. Located close veins within a single copper cable are due to the electromagnetic interaction of the paired components of the signals, which are produced by the modem. This leads to the fact that the xDSL modems, transfer to adjacent cable conductors, create mutual interference. There are cross-crosstalk near end (NEXT), which refers to the unintentional input signals from the transmitter at one end to the signal receiver on the same end, and cross the far end crosstalk (FEXT), which refers to the unintentional input signals during transmission to the receiver at the other end, and the signals in the transmission signals are adjacent copper pairs and receiver appear as noise.

Although there are currently many studies xDSL crosstalk, as, for example, "Spectral management on metallic access networks; Part 1: Definitions and signal library", ETSI (European Telecommunications Standards Institute), TR 101 830, September 2000, due to the complexity of the phenomenon of crosstalk and other noise parameters at present, there is little practical and technically simple to use and cost-effective tools for the definition of QoS parameters for a particular end user in the network. In the prior art remote metering systems offered by different companies, for example, Acterna (WG SLK-11/12/22, Eningen U.A., Germany), Trnd Communications (LT2000 Line Tester, www.trendcomms.com, Buckinghamshire, UK) and so the maximum data transfer rate on the last mile are determined through direct measurements via remote sensing: digital signal processor is installed on each local distribution station provider telephone communication network (for example, in Switzerland a few thousand). Through a digital signal processor is the so-called "asymmetric dimension, as the user on the other side of the last mile is not required to install any devices. But fundamentally also possible measurements on the principle of "symmetric measurement. But it requires the installation of measuring devices on both ends of the line.

The disadvantages of this prior art include, including high costs, due to the necessary installation of systems for remote measurement in each local distribution station, inaccurately known uncertainty or an unknown error in the measurement, because the measurement is made on one side only (single-ended measurement), and to determine the error would be required to implement a bilateral dimension. Bilateral dimension would be impractical because of the labor, time and cost. In addition, in the prior art is not known algorithms apt the military or software implementation to calculate or predict the maximum possible bit rate of the network connection. Installation of systems for remote measurement on a smaller number of Central distribution stations instead of the local target distribution stations shows that the dimensions peculiar to such a high degree of uncertainty that they are not suitable to determine the maximum possible data rate for a particular line to a target user.

The objective of the invention to provide a novel method, system and computer program product for determining resources data for network connections that do not have the above disadvantages. In particular, such resources and/or maximum bit rate for a particular user or network connection can be determined quickly and flexibly, without requiring disproportionate technical, human and financial costs.

In accordance with the invention this problem is solved in particular due to the characteristics of the independent claims. Preferred embodiments of result from the dependent claims and the description.

In particular, the above results are achieved in the invention by the fact that to determine inventory resources data for network connections, and the physical length of the designated network connection between the front of the cheek and receiver is known, measured energy spectrum depending on the transmission frequency for the possible types of modems using the device power measurement and is transferred to the data carrier of the computing unit, the computing unit determines the attenuation for different physical lengths and thicknesses of the wires of the cable network connections, and effective signal levels at the receiver based on the attenuation and the energy spectrum associated with the respective physical lengths and thicknesses of the wires of the cable (i.e. the diameters of the wires of the cable)are stored in the first list on the media data of the computing unit, the second list on the storage media of the computing device is noise associated with the physical the lengths and thicknesses of the wires of the cable network connections, while the noise level is determined by the computing unit based at least on the parameters of the crosstalk and the number of interference sources based on power spectrum computing unit via the module of the Gaussian transform based on the effective signal levels of the first list and the corresponding noise levels from the second list for different modulation data and/or modulating codes determines the resources data for pre-defined bit rate is in and in correlation with the respective physical lengths and thicknesses of the wires of the cable network connection saves on storage media of the computing unit, computing unit determines the effective resources data transmission through at least one or more correction factors based on the stored reserves of resources and data in correlation with the respective physical lengths and thicknesses of the wires of the cable network connection saves on storage media of the computing unit, and a correction factor includes the average deviation of the saved resources data from effective resources data and/or coefficient correction unit for correcting the configuration of the error correction block, and a computing unit on the basis of the stored effective resources data using well-known physical length defined network connection between the transmitter and receiver defines natural resource data for the corresponding network connection. The advantage of the invention, including, is that the method and system for the first time provide a simple and rapid identification of reserves data without requiring large technical, labor and time costs. In particular, it is possible to adjust the uncertainty due to the mentioned correction without requiring, as in the known systems, remote sensing for the measurement of resources per the villas of data and/or transmission speed in bits, adjustments in each local distribution stations are different, not exactly known uncertainties or unknown error, which is due to the one-way measurements are difficult to assess, so as to determine the error would have required a bilateral dimension. As described above, the costs are small in comparison with the prior art. This is true for both measurements, and installation of necessary equipment.

In one embodiment, the energy spectrum is measured depending on the transmission frequency for the types of modems, ADSL and/or SDSL, and/or HDSL, and/or VDSL. Possible types of SDSL modems may include, at least, the type of modem G.991.2, and/or types of ADSL modems - at least the type of modem G.992.2. Through module Gaussian transform can be defined resources data, at least for modulation data type 2B1Q (2 binary, 1 Quaternary), and/or CAP (amplitude/phase modulation without carrier), and/or DMT (digital multitenancy), and/or PAM (pulse amplitude modulation). Through module Gaussian transform can be defined resources data, at least for coding using lattice modulation code. This run has, among other things, the advantage consisting in the fact that the types of xDSL modems, when the above-mentioned modulation and data encoding using the modulation trellis code uses standard technologies, which are easily available in the market, and the use of which is widespread in Europe and in the USA.

In another embodiment, the correction factor plays a nonlinear relationship with respect to the physical lengths and/or thicknesses of the wires of the cable, i.e. the correction factor can be represented by a nonlinear function such as a polynomial function of degree higher than 1. This run has, among other things, the advantage consisting in the fact that thereby taken into account and can be adjusted much more complex dependencies than in the case of linear correction factors.

Another option implementation includes a computer program product, which can be loaded directly into the internal memory of a digital computer and includes parts of computer software code which performs the steps according to the above-described variants execute when the product is executed on a computer. This alternative implementation has the advantage that it provides the technical implementation of the invention, which allows for easy handling and use without large hardware cost.

In cha is in the surrounding area, to determine the transmission speed in bits for the network connections, and the physical length of a network connection between the transmitter and receiver is known, the energy spectrum is measured depending on the transmission frequency for the possible types of modems using the device power measurement and transmitted to the data carrier of the computing unit, the computing unit determines the attenuation for different physical lengths and thicknesses of the wires of the cable network connections, and effective signal levels at the receiver based on the attenuation and the energy spectrum associated with the respective physical lengths and thicknesses of the wires of the cable are stored in the first list on the media data of the computing unit, and the second list on the media data of the computing unit is stored noise associated with the respective physical lengths and thicknesses of the wires of the cable network connections, while the noise level is determined by the computing unit based at least on the parameters of the crosstalk and the number of interference sources based on power spectrum computing unit via the module of the Gaussian transform based on the effective signal levels of the first list and the corresponding noise levels from the second list for different modulations lane is giving data and/or modulating codes determines the bit rate for the predefined resource inventory data and stores the transmission speed bits associated with the respective physical lengths and thicknesses of the wires of the cable network connections on the media data of the computing unit, the computing unit determines the effective bit rate by means of one or more correction factors based on the stored transmission speeds of bits and stores the effective bit rate associated with the respective physical lengths and thicknesses of the wires of the cable network connections on the media data of the computing unit, and a correction factor includes the average deviation of the stored bit rate from the effective bit rate and/or the coefficient of the error correction block for correcting a configuration error correction block, and a computing unit on the basis of the stored effective transmission speeds bits using known physical length defined network connection between the transmitter and the receiver determines the bit rate for the appropriate network connection. The advantage of this option, perform, including, is that the method and system for the first time provide a simple and fast determination of the bit rate, without substantial technical, labor and time costs. In particular, it is possible to adjust the uncertainty due at Omanthai correction, without requiring, as in the known systems, remote sensing for the measurement of reserves data and/or bit rate, adjustments in each local distribution stations are different, not exactly known uncertainty or unknown errors that are due to one-way measurements are difficult to assess, so as to determine the error would be required bilateral dimension.

In one embodiment, the energy spectrum is measured depending on the transmission frequency for the types of modems, ADSL and/or SDSL, and/or HDSL, and/or VDSL. Thus the possible types of SDSL modems may include, at least, the type of modem G.991.2, and/or types of ADSL modems - at least the type of modem G.992.2. Through module Gaussian transform can be defined resources data, at least for modulation data type 2B1Q, and/or CAP, and/or DMT, and/or PAM. Through module Gaussian transform can be defined resources data, at least for coding using lattice modulation code. This run has, among other things, the advantage consisting in the fact that the types of xDSL modems, when the above-mentioned modulation and data encoding using the modulation trellis code uses standard technologies which are easily available in the market and the use of which is widespread in Europe and in the USA.

In another embodiment, the correction factor includes a nonlinear relationship with respect to the physical lengths and/or thicknesses of the wires of the cable, i.e. the correction factor can be represented by a nonlinear function such as a polynomial function of degree higher than 1. This run has, among other things, the advantage consisting in the fact that thereby taken into account and can be adjusted much more complex dependencies than using linear correction factors.

In another embodiment, the through module Gaussian transformations define the bit rate for inventory resources data between 3 and 9 dB. This option is run, among other things, has the advantage consisting in the fact that the range between 3 and 9 dB provides reception with QoS parameters that satisfy the majority of requirements. In particular, the specified range of resources transfer data between 3 and 9 dB ensures optimization of bit rate in relation to other QoS parameters.

In another embodiment, the through module Gaussian transformations define the bit rate for the resource inventory data 6 dB. This option is run, among other things, has the same advantages as in p is edituser described embodiment. In particular, the supply of resources data 6 dB ensures optimization of bit rate in relation to other QoS parameters.

Another option implementation includes a computer program product, which can be loaded directly into the internal memory of a digital computer and includes parts of computer software code which performs the steps according to the above-described variants execute when the product is executed on a computer. This alternative implementation has the advantage that it provides the technical implementation of the invention, which allows for easy handling and use without large hardware cost.

In addition, it should be noted that the claimed invention, along with a way consistent with the invention also relates to a system and computer program product for carrying out the method.

The following examples describe embodiments of the claimed invention. The examples illustrated by the drawings, which represent the following:

Figure 1 - block diagram showing the architecture scenarios corresponding to the invention of a system for determining the resources or data transmission speeds of bits for a network connection 12 with definitely the physical length of 13 between the transmitter 10 and receiver 11.

Figure 2 - schematic representation crosstalk cross-interference of the near end (NEXT) 51, which refers to the unintentional input 50 of the transmitter 10 at one end in the signals 50 in the receiver 11 at the same end, and cross the far end crosstalk (FEXT) 52, which refers to the unintentional input signal 50 when transmitting to the receiver 11 at the other end, and the signal 50 when the transmission signals are 50 adjacent copper pairs and receiver 11 are manifested as noise.

Figure 3 - schematic representation of the transmission path of the network connection, depending on the transmission speed (bit rate) for ADSL modems, as it can be obtained using the appropriate invention system. The reference position 60 and 61 represent different conditions of noise.

4 is a schematic representation of the so-called "last mile" telephone network (PSTN), existing in a typical case, between an end user's home network, which should be available through the telephone network of General use.

Figure 1 presents the architecture that can be used to carry out the invention. In this example, the run method and system for the determination of reserves data and/or bit rate for the network connection physical length is 13 determined by the constituent network connection 12 between the transmitter 10 and receiver 11 are known. The physical length refers to the effective length of the cable, and not, for example, the distance by air between the transmitter 10 and receiver 11. Network connection 12 may consist of an analog transmission medium, for example, cable with copper conductors. In this exemplary embodiment, for example, used copper cables with a diameter lived 0.4 or 0.6 mm, as they are typically used for last mile telephone network (PSTN). The last mile is schematically represented in figure 4. The reference position 70 denotes a router, which is connected, for example via 10BT Ethernet 77 and telephone network (PSTN) 72 c server 71 modem terminal. The server 71 modem terminal may be a DSL access multiplexer (DSLAM). As mentioned, the reference position 72 denotes telephone network (PSTN)to which the server 71 modem terminal is connected, for example, fibre optic cable 78. In addition, the telephone network 79 General use and, accordingly, the server 71 modem terminal in a typical case, through the cable 79 with copper conductors via the telephone box 73 is connected to the modem 74 of the personal computer (PC) 75. The reference position 79 this refers to those so-called "last mile" from the distribution station provider's telephone network to the end user. To the final user 76 thus, you can use your PC to directly access the router 70, through the described connections. The most common telephone wire can be, for example, of a pair of copper wires 2-2400. But can also be applied to other media, particularly copper cable, for example, with other diameters lived. It is necessary to indicate that a network connection 12 can not only show respectively different diameters or thickness 114, 142, 143, 144, and that a separate network connection may consist of a combination of cables with different diameters or thicknesses lived, that is, that the network connection includes several separate cables with different thicknesses lived.

Energy spectrum PSDModem(f) is measured depending on the frequency f of the transmission for possible types of modems 101, 102, 103, 104 through the device 20 power measurement and transmitted to the data carrier of the computing unit 30. The energy spectrum is also indicated with the term "power spectral density" (PSD) and plays for a certain bandwidth continuous range of frequencies, i.e. full capacity in a given bandwidth, divided by a certain bandwidth. Divide by the width of the strip corresponds to the normalization. Thus, the power spectral density PSD is a function that depends on the frequency f, and is usually given in watts per Hertz. To measure the power through the device 20 measuring power the spine in the receiver 11 can be used a simple analog-to-digital Converter, moreover, the voltage applied to the resistance. For the modulation of digital signals in lines 12, for example, from the end user to the distribution station provider's telephone network and back can be applied to various types of modulation. In the prior art, for example, known techniques xDSL (digital subscriber line), the two main representatives of which are ADSL (asymmetric digital subscriber line) and SDSL (symmetric digital subscriber line). Other members of the xDSL technologies are HDSL (high speed digital subscriber line) or VDSL (ultra high performance digital subscriber line). XDSL technologies are highly developed schemes of modulation used to modulate the data transmitted in the transmission line on the copper wires or other analog media. The xDSL technology is sometimes referred to as last mile access technology, in particular, due to the fact that they usually are used to connect the last distribution station telephone network with the end user in the office or at home and are not used for connections between the separate distribution of the telephone network. XDSL is similar to the network (ISDN Digital network integrated services) in the sense that it can work on existing transmission lines on the copper wires, and obeone require relatively short distance to the next junction station provider's telephone network. The xDSL technology provides, however, a higher data transfer speeds than ISDN. xDSL reaches speeds of up to 32 Mbps for speed downstream (transmission speed when receiving data, that is, when the modulation) and speeds from 32 kbps to 6 Mbps for speed upstream (the transfer rate during data transfer, that is, when demodulation), while ISDN supports data transfer rate per channel of 64 kbit/s ADSL recently become a very popular technology for data modulation in the transmission line on the copper wires. ADSL supports data transfer speeds from 0 to 9 Mbit/s for velocities in the downstream direction of the flow and from 0 to 800 kbit/s for velocities in the upward direction of flow. ADSL is called asymmetric DSL, as it supports different transfer speeds in ascending and descending directions of flow. SDSL or symmetric DSL is called, in contrast, symmetric because it supports the same speed for upstream and downstream data flow. SDSL provides the ability to transmit data at speeds up to 2.3 Mbit/s ADSL transmits the digital pulses in the high frequency range of copper cable. Since these high frequency in normal transmission of tone signals in the audible range (e.g., voice) don't use the Xia, the ADSL can act to transmit telephone calls over the same copper cable. The ADSL technology is most common in North America, while SDSL technology primarily developed in Europe. ADSL and SDSL require specially equipped for this modem. HDSL is a representative for symmetric DSL (SDSL). Standard for symmetric HDSL (SDSL) is currently the G.SHDSL, known as G.991.2 developed as an international standard by the Committee CCITT the International telecommunications Union (ITU). G.991.2 supports reception and transmission of symmetric data flow for a simple pair copper cables with transmission speeds from 192 kbps to 2,31 MB/s Standard G.991.2 was designed in such a way that it includes the features of ADSL and SDSL and supports standard protocols such as IP (Internet Protocol), in particular modern version of IPv4 and IPv6 or IPng (Working group on the development of the Internet IETF), and TCP/IP (transmission control Protocol), ATM (asynchronous transfer mode), T1, E1 and ISDN. As the last of the xDSL technologies mentioned here VDSL technology (ultra high performance digital subscriber line). VDSL transmits data in the range 13-55 Mbps over short distances (usually in the range 300-1500 m) copper cable twisted pair. For VDSL true ratio, comprising the I is that the shorter the distance, the higher the transmission rate. As the final section of the VDSL network connects the office or home user with neighboring optical network units referred to as an optical network unit (ONU), which is typically associated with the main bre-optic network (backbone), for example, firms. VDSL provides user access to the network with the maximum bandwidth for normal telephone wires. The VDSL standard is not yet fully defined. So there VDSL technologies that have the encoding scheme of the line based on the DMT (discrete multitoning signal), and DMT is a system with many bearing, which is very similar to ADSL technology. Other technologies have VDSL encoding line, based on quadrature amplitude modulation (QAM), which in contrast to DMT is more economical and requires less energy. For this example, perform the types of modems may include the types of modems (101, 102, 103, 104) ADSL and/or SDSL, and/or HDSL, and/or VDSL. In particular, the possible types SDSL modems (101, 102, 103, 104) may include at least one type of modem G.991.2, and/or types of ADSL modems (101, 102, 103, 104) may include at least one type of modem G.992.2. However, it is clear that this list in no way should be considered as limiting the scope of protection of the invention, and to her the willows, there may be other types of modems.

Using the computing unit 30 is determined by the weakening of N for different physical lengths 13 and the thickness of the wires of the cables 141, 142, 143, 144, as, for example, 0.4 mm and 0.6 mm network connection 12, and the effective level of the signal S(f) in the receiver 11, based on the weakening of H(f) and the energy spectrum of PSD(f)associated with the respective physical lengths L13 and the thickness of the wires of the cables D 141, 142, 143, 144, stored in the first list on the media data computing unit 30. The weakening of H(f,L,D)as of the effective level of the signal S(f)is a function that depends on the frequency f. Sent from the transmitter 10, the signal corresponds to PSDModem(f), while in the receiver is made effective level of the signal S(f)=PSD (f)N2(f, L, D). The second list on the media data computing unit 30 is stored noise N(f) 40 associated with the respective physical lengths 13 and the thickness of the wires of the cable 141, 142, 143, 144 network connection 12, and the noise N(f) 40 is determined by the computing unit 30 depending on at least the parameter crosstalk Xtalktype and number of interference sources based on power spectrum PSD. That is:

where N(f) - noise level, f is the frequency, i is the index, Xtalktype - parameter crosstalk, PSDSmodem(i)(f) power spectrum of the noise m is blazei the i-th S-modem, NHR (f, L, Xtalktype Andi- the weakening depending on crosstalk, L is the physical length of the cable, Ai- number.

The sum is taken over the index i for all palehovym modulation (SModem) depending on their parameter crosstalk Xtalktypes that operate on parallel connections of this network connection. As mentioned, the problems of crosstalk associated with a physical phenomenon that occurs when the modulation data transmitted over copper cable. Neighboring copper cable wires inside the copper cable are due to the electromagnetic interaction of the paired components of the signals, which are produced by the modems. This leads to the fact that xDSL modems that perform transmission by neighboring wires, create mutual interference. Cross-interference as a physical effect is negligible for ISDN (frequency range up to 120 Hz), but is significant, for example, ASDL (frequency range up to 1 M Hz) and is a decisive factor for VDSL (frequency range up to 12 M Hz). As described, used telephone lines consist of copper conductors number from 2 to 2400. So, for example, to be able to use four pairs, the data stream in the transmitter is divided into multiple parallel data streams, and the receiver is again restored, which increases the effective bandwidth of 4 times. Atomsville to transmit data at speeds up to 100 Mbit/s Additionally, in the case of 4 pairs of copper wires of the same four pairs of wires are used for the same volume of data at a time to pass in the opposite direction. Bilateral data transmission on each of the copper wire pair doubles the data capacity that can be transmitted. In this case, the data rate increases eight times compared to conventional transmission, in which two pairs are used only for one direction. For data transmission, as described above, the crosstalk noise are strongly limiting factor. As types of crosstalk (Xtalktype) distinguish cross-crosstalk near end (NEXT) 51, which refers to the unintentional input 50 of the transmitter 10 at one end in the signals 50 in the receiver 10 at the same end, and cross the far end crosstalk (FEXT) 52, which refers to the unintentional input signal 50 when transmitting to the receiver 11 at the other end, and the signal 50 when the transmission signals are 50 adjacent copper pairs and receiver 11 are manifested as noise (see figure 1). Usually proceed from the fact that the NEXT obstacle 51 is the only source of interference near the end. Parameter Xtalktype, thus, depends on the location and flow (ascending/descending), that is, the dependence can be written as Xtalktype(stream, places the). If you have more than two copper conductors, as it usually takes place (in a typical scenario, there are from 2 to 2400 lived), then the above pairwise link is no longer valid. For example, for the case when both used the four pairs of conductors, then, consequently, there are three unintentional sources of interference that its energy acting on the signal 50. For And in this case the relation is valid : A=3. The same is true for crosstalk type FEXT 52.

Computing unit 30 determines the reserves data by module 31 of the Gaussian transform based on the effective level of the signal S(f) from the first list and the corresponding level of the noise N(f) from the second list for different modulation data and/or modulating codes for a pre-defined bit rate and saves resources data associated with the respective physical lengths 13 and the thickness of the wires of the cable 141, 142, 143, 144 network connection 12, the data medium in the computing unit 30. On the basis of the effective levels of the signal S(f) from the first list and the corresponding level of the noise N(f) from the second list by using the computing unit 30 to determine the ratio of the signal S and noise N (SNR) in the following form:

where SNR is the signal-to-noise ratio, T is the interval of the symbol is a, S(f) is the signal, N(f) - noise level, n is the summation index.

This expression is true only for modulation type CAP, 2B1Q and FRAMES, but not applicable for modulation type DMT. Modulation type DMT is described below in more detail. T may denote half the inverse of the magnitude of the Nyquist frequency. The Nyquist frequency is the maximum frequency which can be accurately taken sample. The Nyquist frequency is half the value of the sampling frequency, so as the unintended frequency is generated when the sampled signal, whose frequency is higher than half the value of the sampling frequency. The summation index n takes values from -1 to +1, which is usually sufficient in practice. If that's not enough, you can use the additional maxima 0, ±1/T, ± 2/T and so on until, until you reach the required accuracy. Resources data-dependent modulation data and/or modulating codes, as noted above. In this exemplary embodiment shows the dependence for 2B1Q modulation used for HDSL modems and modulation of CAP as an example for ADSL modulation type DMT, as well as for modulating codes using signals of trellis coding. However, it is clear that corresponding to the invention the method and system can also be used for other modulations re the ACI data and/or modulating codes such as PAM (pulse amplitude modulation), etc. As the modulation type 2B1Q, and modulation type of CAP used for HDSL modems and are characterized by a predefined bit rate. Modulation type DMT is used for ADSL modems and has in contrast a variable bit rate. Modulation schemes CAP and DMT use the same fundamental technology modulation: quadrature amplitude modulation (QAM), although this technology is used in different ways. QAM provides the possibility that two digital carrier signal have the same bandwidth transmission. Thus there are two independent, so-called message signal to modulate two carrier signal having the same carrier frequency, but different amplitude and phase. Receivers of QAM signals can distinguish whether low or high number of amplitude and phase States, to overcome the effect of noise and interference, for example, in one pair of copper conductors. Modulation type 2B1Q also known as 4-level amplitude modulation (PAM). It uses two levels of voltage pulse signals, not one level, as, for example, in the case of modulation type (AMI coding with alternating polarity items). Since the applied positive and negative difference is Oia levels, get a 4-level signal. The bits are then estimated in pairs, a pair corresponds to a specific voltage level (hence the name 2-bit modulation). Due to this, you can halve the required transmission frequency to broadcast with the same bit rate as in the case of bipolar modulation type AMI. For HDSL modem that uses the modulation type 2B1Q or CAP, there is the following dependence of resource inventory data from SNR:

Mc=SNR/ξ,

where Mwith- supply of resources transfer, ξ - the parameter is determined depending on the frequency error (frequency error symbol) εs. For local area networks (LAN) Internet Protocol (IP) is usually sufficient frequency error εs=10-7that is every 107bit in the middle is transmitted distortion. Firms require in a typical case for their corporate networks εs=10-12. If the value of εsbecomes of the order of magnitude of the transmitted data packet (for example, 10-3), is, by contrast, would mean that each package in the middle must be transmitted twice, until it is received correctly. For modulation type 2B1Q for parameter εstrue, for example, the following:

for unencrypted signals

for signals from the lattice to the financing,

while for modulation type CAP fair the following relations:

for unencrypted signals

for signals trellis encoding

where εs- error rate, M is the torque number/value grouping, Gc- complementary Gaussian function.

Parameter Gcfor both types of encoding is the complementary Gaussian function of the form

M stands for the modulation type 2B1Q torque number, and M=4 for 2B1Q, while for modulation type CAP parameter grouping is equal to M×MT denotes, as above, the symbol interval or half the inverse of the magnitude of the Nyquist frequency. For ADSL modems using modulation types DMT addiction is different. As noted above, ADSL has a variable bit rate. This is also apparent in the parameter definition Mwith.In this case we have the following relation:

where ξ(f) is the ratio of signal to noise S(f)/N(f), xrefstandard supply of resources, which in this example is run in a typical case was chosen equal to 6 dB, that is, xref=100,6although can be selected and the other values as reference resources; Δf - the whole band Il is the bandwidth, which is used for transmission; D is the bit rate, for example, in bits per second (bit/s); G is the correction factor. In this example, the run D has a value of, for example, equal of 9.55. Integrating this example the frequency f. Similarly, it may, however, also be carried out by time or another physical magnitude, and the above expression should be consistent.

In the General case the above resources data do not coincide with the experiment. Therefore, the computing unit 30 determines effective resources data transmission through at least one correction factor based on the stored reserves resource data. The adjustment factor was selected for this example was run in such a way that ensures sufficient consistency between the obtained resources data and effective resources data. As of sufficient magnitude in this case was made, for example, of +/- 3 dB, and can be used and other values. To get the maximum deviation of +/- 3 dB, determined by two parameters. Mimptake into account good or poor implementation of the modem manufacturer. The parameter Mimpwas introduced on the basis of the fact that Odie is W hat modems with similar hardware and the same modulation data and/or modulating codes but produced by different manufacturers, when converting an analog signal into a digital signal and back gave different results that influenced their maximum data transfer rate or the maximum range for a particular network connection. This should be adjusted in relation to inventory resources data. As a second option was introduced with Nint. Ninttakes into account the quantization noise in the modem (analog-to-digital conversion), and possible bad configuration error correction block in the transmission. If the transfer takes place between the transmitter 10 and receiver 11, the error correction block in the modem will negotiate speed data transfer with the terms of the network connection, for example, the weakening line, phase distortion, etc. through the test sequence, which is sent between the two leading information exchange modems in both directions. Poor alignment caused by the correction block, leads to distortion of the results and should be adjusted. For linear error correction block may be used, for example, the following expression:

where

where SNRLinearEq- signal/noise, Sethe signal received by the error correction block, Nenoise f is the frequency, T is the symbol interval.

For error correction block adaptive decision feedback (DFE) may be used, for example, the following expression:

where SNRThe DFE- signal/noise, Sethe signal received by the error correction block, Ne- noise, f is the frequency, T is the symbol interval. Computing unit 30 for determining SNRThe DFEcan be used, for example, the following approximation:

where SNRThe DFE- signal/noise, Sethe signal received by the error correction block, Ne- noise, f is the frequency, T is the symbol interval.

Thus, for effective inventory resources data we get: S(f)=PSDModem(f)H2(f,L,D)as before. Noises are adjusted as follows:

where N(f) is the noise PSDSmodem(i) (f) power spectrum of the noise modulation of the i-th S-modem, NHR2(f,L,D,xtalktypeini- the weakening depending on crosstalk. Nint- correction.

Correction can be implemented in the computing unit 30 by the hardware or software in a single module. It should be noted that using such a module based on the correction of Nintintroduces a variable noise factor, which, for example, can account for the three error correction block, etc. This decision is not known from the prior art and is owned by, among other things, substantial advantages of the invention.

Effective resources data Meffaccounted for by the ratios of Meff=Mc-Mimpthat is taken into account in addition to Nintas referred to above. Valid values for Mwithand Nintcan be obtained by the computing unit 30 in comparison with the experimental data. In a typical case, the computing unit 30 should then have access to the data of different experiments, to be able to correctly identify the parameters within desired tolerances. By means of correction factors, which, therefore, include the average deviation of the saved resources data in relation to effective resources data, determined as described above, effective resources data and also in comparison with the respective physical lengths L (13) and the thickness D of the wires of the cables 141, 142, 143, 144 network connection 12 is stored on the storage medium of the computing unit 30. It should be noted that correction factors are not necessarily linear coefficients, that is, it must be permanent, but with the same success can include corrective fu who work with nonlinear dependence. Thus you can, depending on the application, be considered more complex deviations of the experimental data. Through the saved array data resources data computing unit 30 determines on the basis of the stored effective resources data using known physical length 13 network connection 12 between the transmitter 10 and receiver 11 natural resource data for a particular network connection 12. The reserves data are indicated, as repeatedly mentioned above, in decibels. For values of >0, the modem operates in a generic manner, while for values of <0, it does not work. In order to guarantee reliable operation, it may be useful, as the lower bound to choose, for example, 6 dB. However, in General suitable for use and other values inventory resources data for the lower bound, for example, values in the range from 3 dB to 9 dB. Due to the similar configuration for ADSL modems also possible, as shown in the above data, instead of data arrays with the reserves data respectively to define arrays of data with the bit rate for different network connections, for example, to inventory resources data 6 dB. Thereby to determine the Mac is ivov data with a bit rate of 6 dB=M eff. For HDSL modems that don't make sense in this respect, as in the case of HDSL is used to encode, for example, 2B1Q or CAP with a constant data rate, in this case 2,048 Mbit/S. the Reason for this difference in relation to the ADSL modems is that HDSL system was designed only to connect with a higher bit rate, and interest only reliable transmission ratio (SNR).

Figure 3 presents a plot of transmission network connection, depending on the bit rate for ADSL modems. Reference positions 60 and 61 are indicated by different noise conditions. Bit rate, as described above, are presented on the basis of the stored data arrays or lists.

1. The way to determine inventory resources data for network connections, and the physical length (13) defined a network connection (12) between the transmitter (10) and a receiver (11) is known, wherein the measured energy spectrum depending on the transmission frequency for the possible types of modems (101, 102, 103, 104) using a device (20) power measurement and transferred to the data carrier of the computing unit (30), using a computing unit (30) determines the attenuation for different physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12) and is effective the e signal levels at the receiver (11), based on the attenuation and the energy spectrum associated with the respective physical lengths (13) and the thickness of the wires of the cable(141, 142, 143, 144), keep the first list on the media data of the computing unit (30), the second list on the media computing device, keep the noise level (40)associated with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), while the noise level (40), are determined by the computing unit (30) based at least on the parameter crosstalk and interference sources based on power spectrum computing unit (30) via the module (31) Gaussian transform based on the effective signal levels of the first list and the corresponding noise levels from the second list for different modulation data and/or modulating codes determines the resources data for pre-defined bit rate and the correlation with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12) stores the media data computing unit (30), computing unit (30) determines the effective resources data transmission through at least one of the correction coefficient on the basis of the stored reserves data and correlation with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12) stores the media data of the computing unit (30), and a correction factor includes the average deviation of the saved resources data from effective resources data and/or coefficient correction unit for correcting the configuration of the error correction block, and a computing unit (30) on the basis of the stored effective resources data using well-known physical length (13) defined a network connection (12) between the transmitter (10) and a receiver (11) defines ' natural resource data for the corresponding network connection (12).

2. The method according to claim 1, characterized in that the correction factor reflects the nonlinear dependence relative to the physical lengths (13) and/or thickness of the wires of the cable(141, 142, 143, 144).

3. The method according to claim 1, characterized in that the energy spectrum is measured depending on the transmission frequency for the types of modems ADSL (asymmetric digital subscriber line), and/or SSDL (symmetric digital subscriber line), and/or HDSL (high speed digital subscriber line), and/or VDSL (ultra high performance digital subscriber line) (101, 102, 103, 104).

4. The method according to claim 3, characterized in that the possible types of SDSL modems (101, 102, 103, 104) includes at least the type of modem G.991.2, and/or types of ADSL modem (101, 102, 103,104) - at least, the type of modem G.992.2.

5. The method according to claim 1, characterized in that the module (31) Gaussian transformations define resources data, at least for modulation data type 2B1Q (2 binary, 1 Quaternary), and/or CAP (amplitude/phase modulation without carrier), and/or DMT (digital multitenancy), and/or PAM (pulse amplitude modulation).

6. The method according to any one of claims 1 to 5, characterized in that the module (31) Gaussian transformations define resources data, at least for coding using lattice modulation code.

7. The method for determining the transmission speed in bits for the network connections, and the physical length (13) of the network connection (12) between the transmitter (10) and a receiver (11) is known, wherein the measured energy spectrum depending on the transmission frequency for the possible types of modems (101, 102, 103, 104) using a device (20) power measurement and transferred to the data carrier of the computing unit (30), using a computing unit (30) determines the attenuation for different physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), and the effective signal levels at the receiver (11), based on the attenuation and the energy spectrum associated with the appropriate physical DL is us (13) and the thickness of the wires of the cable (141, 142, 143, 144), remain in the first list on the media data of the computing unit (30), the second list on the media data computing unit keep the noise level (40)associated with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), while the noise level (40), are determined by the computing unit (30) based at least on the parameters of the crosstalk and the number of interference sources based on power spectrum computing unit (30 through the module (31) of the Gaussian transform based on the effective signal levels of the first list and the corresponding noise levels from the second list for different modulation data and/or modulating codes determines the bit rate for the predefined resource inventory data and stores the bit rate associated with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), on the media data of the computing unit (30), computing unit (30) determines the effective bit rate by the correction coefficient for the basis of the stored bit rate and maintains effective bit rate associated with the respective physical lengths (13) and the thickness of the LM is cable (141, 142, 143, 144) network connection (12), on the media data of the computing unit (30), and a correction factor includes the average deviation of the stored bit rate from the effective bit rate and/or the coefficient of the error correction block for correcting a configuration error correction block, and a computing unit (30) on the basis of the stored effective bit rate using the known physical length (13) defined a network connection (12) between the transmitter (10) and a receiver (11) determines the bit rate for the appropriate network connection (12).

8. The method according to claim 7, characterized in that the module (31) Gaussian transformations define the bit rate for inventory resources data between 3 and 9 dB.

9. The method according to claim 7, characterized in that the module (31) Gaussian transformations define the bit rate for the resource inventory data 6 dB.

10. The method according to claim 7, characterized in that the correction factor reflects the nonlinear dependence relative to the physical lengths (13) and/or thickness of the wires of the cable(141, 142, 143, 144).

11. The method according to claim 7, characterized in that the energy spectrum is measured depending on the transmission frequency for the types of modems, ADSL and/or SDSL, and/or HDSL, and/or VDSL(101, 102, 103, 104).

12. The method according to claim 11, characterized in, Thu the possible types of SDSL modems (101, 102, 103, 104) includes at least the type of modem G.991.2, and/or types of ADSL modem(101, 102, 103, 104) - at least, the type of modem G.992.2.

13. The method according to claim 7, characterized in that the module (31) Gaussian transformations define resources data, at least for modulation data type 2B1Q, and/or CAP, and/or DMT, and/or FRAMES.

14. The method according to any of claims 7 to 13, characterized in that the module (31) Gaussian transformations define resources data, at least for coding using lattice modulation code.

15. System for determining resource inventory data for network connections, and the physical length (13) defined a network connection (12) between the transmitter (10) and a receiver (11) is known, wherein the system includes a measuring device (20) for measuring the energy spectrum depending on the transmission frequency for the possible types of modems(101, 102, 103, 104), and the media data of the computing unit (30), which can save energy spectrum, computing unit (30) includes means for determining the attenuation for different physical length (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), and the effective signal levels at the receiver (11), based on the attenuation and the energy is ω-spectrum, associated with the respective physical lengths (13) and the thickness of the wires of the cable(141, 142, 143, 144), stored in the first list on the media data of the computing unit (30), computing device (30) includes means for determining the noise level (40) based at least on the parameter crosstalk, the number of interference sources on the basis of the energy spectrum, and the noise level (40)associated with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12)is stored in the second list on the media data computing unit, computing unit (30) includes a module (31) Gaussian transformation to determine inventory resources data for pre-defined bit rate based on the effective signal levels of the first list and the corresponding noise levels from the second list for different modulation data and/or modulating codes, and inventory resources data associated with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12), are stored on the data carrier computing unit (30), computing unit (30) includes a correction module that determines effective resources data transmission through at least one correctitude the factor based on the stored reserves data and correlation with the respective physical lengths (13) and the thickness of the wires of the cable (141, 142, 143, 144) network connection (12) stores the media data of the computing unit (30), and a correction factor includes the average deviation of the saved resources data from effective resources data and/or coefficient correction unit for correcting the setting of the correction block.



 

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