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WO2018198118A1 - Système et procédé de blocage automatique coordonné destiné à atténuer le bruit étranger dans un système de communication multiutilisateur - Google Patents

Système et procédé de blocage automatique coordonné destiné à atténuer le bruit étranger dans un système de communication multiutilisateur Download PDF

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Publication number
WO2018198118A1
WO2018198118A1 PCT/IL2018/050452 IL2018050452W WO2018198118A1 WO 2018198118 A1 WO2018198118 A1 WO 2018198118A1 IL 2018050452 W IL2018050452 W IL 2018050452W WO 2018198118 A1 WO2018198118 A1 WO 2018198118A1
Authority
WO
WIPO (PCT)
Prior art keywords
receiver
client devices
noise
alien
central station
Prior art date
Application number
PCT/IL2018/050452
Other languages
English (en)
Inventor
Itshak Bergel
Amir Leshem
Original Assignee
Bar-Ilan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bar-Ilan University filed Critical Bar-Ilan University
Publication of WO2018198118A1 publication Critical patent/WO2018198118A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/22—Arrangements for supervision, monitoring or testing
    • H04M3/26—Arrangements for supervision, monitoring or testing with means for applying test signals or for measuring
    • H04M3/34—Testing for cross-talk
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/02—Details
    • H04B3/32—Reducing cross-talk, e.g. by compensating
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/22—Arrangements for supervision, monitoring or testing
    • H04M3/26—Arrangements for supervision, monitoring or testing with means for applying test signals or for measuring
    • H04M3/28—Automatic routine testing ; Fault testing; Installation testing; Test methods, test equipment or test arrangements therefor
    • H04M3/30—Automatic routine testing ; Fault testing; Installation testing; Test methods, test equipment or test arrangements therefor for subscriber's lines, for the local loop
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/02—Details
    • H04B3/46—Monitoring; Testing
    • H04B3/487—Testing crosstalk effects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/08—Indicating faults in circuits or apparatus

Definitions

  • the present invention relates generally to the field of multi-channel communication. More specifically, the present invention relates to coordinated silencing for alien noise mitigation in multi-users communication scheme.
  • Digital Subscriber Line provides high bandwidth data transmission and reception to customer premises over copper twisted-pair telephone wires. Because the wires are unshielded, they are vulnerable to various types of interference, including crosstalk, both from other subscribers to the same DSL service and other entities outside the DSL system (e.g., lines that belong to other operators sharing the same binder as the operator of the system or RF signals from various sources). Noise on DSL lines due to these latter entities is referred to as "alien noise.” Such alien noise cannot generally be controlled by the DSL operator and is difficult to model for purposes of signal processing. Alien noise can therefore cause substantial degradation of the DSL signal/noise ratio (SNR).
  • SNR DSL signal/noise ratio
  • Alien noise can also cause a significant capacity loss for DSL systems, especially at a high SNR.
  • a centralized receiver can gain back much of the capacity loss by sophisticate processing of several lines.
  • such sophisticated joint receiver for multiple lines is considered infeasible.
  • most implementations use linear receivers.
  • the optimal linear receiver cannot cope well with alien noise, and a significant rate loss is experienced.
  • a linear receiver is known to be sufficient in systems that use measurements from inactive lines. However, in many scenarios, the network does not have enough (or does not have any) such measurements in order to allow reasonable signal detection.
  • An apparatus for suppressing alien noise in multi-users communication system comprising: a. multiple client devices which transmit signals and data to modems and disables upstream transmissions according to a central station receiver instructions;
  • a central station receiver which instructs one or more of said client devices to
  • the transmission scheme is a multicarrier transmission scheme and the disabling of the upstream transmission is performed over part of the frequency bins of each user according to a predefined schedule.
  • the central station receiver comprises: a noise covariance matrix estimator for estimating the alien noise covariance matrix; an active user channel matrix estimator for estimating a channel matrix; a receiver for receiving the transmitted signals from said client devices together with the additive alien noise, the estimated noise covariance matrix and the estimated channel matrix from said active user channel matrix estimator, and suppressing the alien noise and the interference between said client devices; a silenced communication line selector which receives the estimated noise covariance matrix and the estimated channel matrix from said active user channel matrix estimator, and selects accordingly communication lines to be silenced by ordering the client devices to silence said selected communication lines for a predefined schedule.
  • the number of disabled client devices is obtained from the eigenvalues of the covariance matrix of the noise.
  • the receiver uses linear processing for the interference suppression.
  • the receiver is a Linear Minimum Mean Square (LMMSE) receiver.
  • LMMSE Linear Minimum Mean Square
  • the receiver is a zero forcing (ZF) receiver.
  • ZF zero forcing
  • the receiver is designed adaptively from the received signals.
  • disabling upstream transmissions is done by silencing the upstream transmission or by transmitting known symbols.
  • the receiver applies a Least Mean Square (LMS) filter.
  • LMS Least Mean Square
  • the invention also encompassed a method for suppressing alien noise in multi-users communication system, comprising the steps of: a. establishing respective communication links between multiple client devices and a central station receiver using a multi-users transmission scheme;
  • the transmission scheme is a multicarrier transmission scheme and the disabling of the upstream transmission is performed over part of the frequency bins of each user according to a predefined schedule.
  • disabling upstream transmissions is done by silencing the upstream transmission or by transmitting known symbols.
  • establishing the respective communication links comprises establishing Digital Subscriber Line (DSL) connections over telephone wires between the client devices and the central station.
  • DSL Digital Subscriber Line
  • estimating of the effect of the alien noise is done by using a noise covariance matrix estimator.
  • the number of disabled client devices is obtained from the eigenvalues of the covariance matrix of the noise.
  • estimating of the interference between said client devices is based on channel estimation.
  • the interference suppression is done by linear processing.
  • the receiver is a Linear Minimum Mean Square (LMMSE) receiver. In an embodiment, the receiver is a zero forcing (ZF) receiver. In an embodiment, the receiver is designed adaptively from the received signals. In an embodiment, the receiver applies a Least Mean Square (LMS) filter.
  • LMMSE Linear Minimum Mean Square
  • ZF zero forcing
  • LMS Least Mean Square
  • Fig. 1 illustrates an uplink channel of N CPEs of the DSL system according to an embodiment of the invention
  • Fig. 2 depicts the uplink channel matrix H[k] and the channel matrix estimator (for a certain frequency bin k) according to an embodiment of the invention
  • Fig.3 depicts the noise covariance matrix estimator (for a certain frequency bin), according to an embodiment of the invention
  • Fig. 4 shows the joint uplink receiver at the CO, according to an embodiment of the invention
  • Fig. 5 depicts an exemplification of the silencing system, according to an embodiment of the invention.
  • Fig. 6 depicts the silenced frequency bins selector and the control channel as well as the Multi Carrier Modulator (MCM) block diagram adapted to the silencing system at the CPE, according to an embodiment of the invention.
  • MCM Multi Carrier Modulator
  • Fig. 7 schematically discloses the method of the invention according to an embodiment of the invention.
  • a system and a method for suppressing the alien noise in multi-user communication systems are disclosed herein.
  • DMT discrete multi-tone modulation
  • bins the upstream and downstream frequency bands are divided into smaller frequency channels, commonly referred to as "bins.”
  • DMT discrete multi-tone modulation
  • the modems test each of the bins to measure its SNR and accordingly decide on the number of bits to modulate on each bin (referred to as "bit loading") and signal these decisions to one another. Very noisy bins may not be used at all. If noise conditions change, the modems can signal a change in the bits-per-bin allocations.
  • the system and method take advantage of the multi- carrier modulation scheme and signaling protocols on DSL links to achieve better suppression of alien noise.
  • a central station such as the DSL access multiplexer (DSLAM) instructs the various client devices, such as customer premises modems (CPEs), to silence their upstream transmissions in certain frequency bins, according to a predefined schedule.
  • CPEs customer premises modems
  • This silencing procedure can be carried out using standard DSL signaling (as would be used if the bins in question were to be shut off due to poor SN ), and allows the customer premises modems to continue upstream transmissions on the remaining bins without interruption.
  • Fig. 7 schematically describes the method disclosed herein.
  • step 701 respective communication links are established between multiple client devices, and a central station, using a multi-carrier transmission scheme.
  • the upstream transmissions are disabled by one or more of the client devices over the respective communication links at specified carrier frequencies according to a predefined schedule, while continuing the upstream transmissions at other frequencies of the multi-carrier transmission scheme.
  • step 703 an effect of the alien noise on the upstream transmissions received by the central station is estimated.
  • the estimated effect is applied in processing the upstream transmissions received by the central station, so as to suppress the alien noise.
  • the disabling of the upstream transmissions is done by silencing the upstream transmission.
  • the disabling of the upstream transmissions is done by transmitting known symbols (the known symbols can be subtracted at the receiver, and hence become equivalent to silence).
  • the silencing system 500 comprises multiple client devices which are the CPEs 101.5, 101.6, 101.7.
  • the CPEs are connected to a central station receiver 550 through communication links, and transmits signals and data to modems 105.5, 105.6, 105.7.
  • the CPEs 101.5-101.7 silence the upstream transmissions according to a central station receiver 550 instructions.
  • the central station 550 receiver instructs one or more of the CPEs to silence their upstream transmission in certain frequency bins according to a predefined schedule.
  • the central station receiver 550 comprises: a) a noise covariance matrix estimator 103.1, which estimates the correlation of the alien noise over the different lines; b) an active user channel matrix estimator 102.2, which estimates the channel matrix for each frequency bin; c) a receiver 104.1 which receives the signals and data transmitted from the CPEs and receives the estimated alien noise covariance matrix and the estimated channel matrix for each frequency bin. The receiver processes all the received data to estimate and suppresses accordingly the alien noise and the interference between the CPEs (client devices).
  • a silenced frequency bins selector 105.4 also receives the estimated alien noise covariance matrix and the estimated channel matrix for each frequency bin and selects accordingly frequency bins to be silenced. The selector 105.4 instructs the CPEs to silence said selected frequency bins accordingly.
  • Fig. 1 schematically illustrates an uplink channel 100 of N Customers Premises Equipment (CPEs) 101.2 to 101.7 of a DSL system according to an embodiment of the invention.
  • the alien noise 120 is caused by the Far end crosstalk (FEXT) of the CPEs inside the binder 101.8 (connected to a Service Provider 130 (Hereinafter SP) from outside the system), and by Near end crosstalk (NEXT) from other SP connected to the binder and by alien transmissions 101.1 from outside the binder .
  • H k n is the NxN upstream channel matrix (102.1) (with input links 101.10,101.11, 101.12 and output links 101.14, 101.15 and 101.16)
  • v fe is the total noise vector at the receiver in frequency bin k (including the alien noise).
  • the method is described for a certain frequency bin, where the operation for the other bins is similar and independent. Therefore, the frequency bin index is omitted.
  • equation (1) can be rewritten as:
  • an Active Users Channel Matrix Estimator 102.2 estimates the entry i,j of H 102.1. This is obtained by:
  • the noise covariance in Fig. 3 depicts the noise covariance matrix estimator (for a certain frequency bin).
  • Matrix Estimator 103.1 can estimate the covariance matrix of the total noise for example using the sample covariance matrix:
  • Z n is the received alien noise vector (that is caused by either 101.8 FEXT from CPEs from outside the system, 101.13 NEXT from SP from outside the system in the same binder or by transmissions outside the binder 101.1) and v is the AWGN in the receiver.
  • C v the number of alien sources ⁇ 1 ⁇ 2 (that have a major influence on the system's performance) can be estimated.
  • a round-robin pattern was used for the selection of the silenced bins of each CPE.
  • the silencing policy is based on the channel state.
  • Fig. 5. discloses the silencing system 105.4 with the control channel (105.1,105.2,105.3 and 105.6).
  • the CPE has a slightly modified MCM system (composed of 106.1-6) where the bit loading component 106.1 that is controlled by the feedback channel 105.2,allocates no data in the silenced bins.
  • the estimation of the channel matrix of the activate users can be improved. For example by using the same procedure described earlier. Denote the estimation of the channel matrix of the active CPEs by H s .
  • the uplink receiver 104.1 at the DSLAM in Fig. 4 can be implemented using the estimation of the a linear receiver such as the LMMSE receiver that is given by
  • each of the output signals 104.2, 104.3 and 104.4 of the LMMSE receiver 104.1 can be decoded using the x.DSL modems 105.5, 105.6 and 105.7(respectively).
  • the uplink receiver 104.1 can also be implemented as a zero forcing (ZF) linear receiver.
  • ZF zero forcing
  • the uplink receiver can be obtained using an adaptive (or iterative) equalizer as an alternative to the channel and the noise covariance matrix estimation and reception blocks described above.
  • the received signals are used to directly update the receiver over sufficient number of iterations.
  • the adaptation is typically designed to minimize a cost function such that over enough time, the receiver can converge very close to the optimal linear receiver (e.g., using a Least Mean Square filter - LMS) and hence obtain the same alien noise cancellation as the blocks described above.
  • the adaptation can be based on transmission of known (pilot) symbols, on decisions of data symbols (decision aided), or on the statistics of the transmitted signal (non-decision aided). While the above description contains many specifics, these should not be construed as limitations on the scope of the invention, but rather as exemplifications of the

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Noise Elimination (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

La présente invention concerne un procédé et un système de suppression de bruit étranger dans des systèmes de communication multiutilisateurs. Le bruit étranger est provoqué par des sources qui se trouvent à l'extérieur du système. Ainsi, l'opérateur n'a pas de contrôle et/ou a une connaissance limitée sur le bruit étranger. Si l'on se concentre sur des récepteurs linéaires, à un SNR élevé, lorsque le bruit étranger est significatif, le récepteur doit utiliser une partie de ses ressources pour supprimer ce bruit. Puisque le nombre de lignes reçues est typiquement égal au nombre de signaux à détecter, le système ne dispose pas de ressources pour gérer à la fois la suppression de bruit étranger et la détection de signaux. La présente invention concerne un procédé qui permet une meilleure détection de signaux. Ceci est réalisé par le blocage automatique de certains utilisateurs (à l'aide d'une planification de temps et/ou de fréquence), c'est-à-dire la commande à ceux-ci de ne rien transmettre à certains intervalles de temps et sur certains secteurs de fréquence.
PCT/IL2018/050452 2017-04-26 2018-04-25 Système et procédé de blocage automatique coordonné destiné à atténuer le bruit étranger dans un système de communication multiutilisateur WO2018198118A1 (fr)

Applications Claiming Priority (2)

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US201762490053P 2017-04-26 2017-04-26
US62/490,053 2017-04-26

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WO2018198118A1 true WO2018198118A1 (fr) 2018-11-01

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5883901A (en) * 1995-09-22 1999-03-16 Hewlett-Packard Company Communications system including synchronization information for timing upstream transmission of data and ability to vary slot duration
US20110185394A1 (en) * 2010-01-22 2011-07-28 Selim Shlomo Rakib Method of catv cable same-frequency time division duplex data transmission
EP2845324A1 (fr) * 2012-05-03 2015-03-11 Adaptive Spectrum and Signal Alignment, Inc. Appareil, systèmes et procédés pour gestion d'énergie dsm
US20170019347A1 (en) * 2015-07-16 2017-01-19 Arris Enterprises Llc Allocation and scheduling for time and frequency division multiplexing system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5883901A (en) * 1995-09-22 1999-03-16 Hewlett-Packard Company Communications system including synchronization information for timing upstream transmission of data and ability to vary slot duration
US20110185394A1 (en) * 2010-01-22 2011-07-28 Selim Shlomo Rakib Method of catv cable same-frequency time division duplex data transmission
EP2845324A1 (fr) * 2012-05-03 2015-03-11 Adaptive Spectrum and Signal Alignment, Inc. Appareil, systèmes et procédés pour gestion d'énergie dsm
US20170019347A1 (en) * 2015-07-16 2017-01-19 Arris Enterprises Llc Allocation and scheduling for time and frequency division multiplexing system

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