DMT MIMO IC rate maximization in DSL with per-transceiver power constraints

Moraes, Rodrigo; Tsiaflakis, Paschalis; Maes, Jochen; Moonen, Marc

doi:10.1016/j.sigpro.2014.02.001

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…Typical values for lie between 9.5 dB and 10.5 dB. The data rate of user n is calculated using (12) where f s is the symbol rate.…”

Section: Performance Metricsmentioning

confidence: 99%

“…DSM algorithms for MU FDX networks have hitherto mostly been studied in the context of wireless systems. Relevant approaches include the WMMSE-based methods from [12]- [14], the successive convex approximation (SCA)based methods from [15]- [17], and methods relying on a simplifying precoding/receive filter design [18]- [20]. In wireless systems however, the self-interference 2 (SI) power is orders of magnitude stronger than the received signal power, such that it cannot be assumed that all SI is canceled.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL

et al. 2019

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Driven by the exceedingly high data rates achieved in single-user implementations, interest in a multi-user (MU) full-duplex (FDX) transmission for digital subscriber line (DSL) networks is surging. However, near-end crosstalk (NEXT) is no longer avoided in such networks, and hence, appropriate dynamic spectrum management (DSM) techniques are needed. Therefore, this paper proposes three novel DSM algorithms for the MU FDX DSL network. First, an optimal spectrum balancing (OSB) algorithm is derived that calculates the globally optimal resource allocation but does so at an exceedingly high computational cost. The key to this algorithm is a novel multiple access channel broadcast channel (MAC-BC) duality for the specific case of perfect NEXT cancellation at the distribution point unit. The two low-complexity distributed spectrum balancing (DSB) algorithms are then proposed, for which simulations show that their performance is very close to what is achieved by the OSB algorithm. Therefore, these DSB algorithms can be used to estimate the achievable performance of an MU FDX DSL network. Such performance estimations show that the FDX transmission can indeed lead to significant gains in MU DSL networks as well.INDEX TERMS DSL, dynamic spectrum management, G.mgfast, multi-user full-duplex, vectoring.

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“…Typical values for lie between 9.5 dB and 10.5 dB. The data rate of user n is calculated using (12) where f s is the symbol rate.…”

Section: Performance Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL

et al. 2019

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“…In addition, the slow convergence of WMMSE-based algorithms at high SNR is well-known. In our simulations, the DMT-WMMSE proposed in [11], [12] is extended with additional per-tone Lagrange multipliers for the spectral mask constraints on top of the per-line Lagrange multipliers, and a per-user MSE matrix diagonalization step. The DMT-WMMSE is initialized with the SVD-BD precoders and a flat power-allocation satisfying the power constraints.…”

Section: B Comparison With Bc-osb and Dmt-wmmsementioning

confidence: 99%

“…The WMMSE problem can then be solved by iteratively updating the weight matrices, the MMSE precoders and the MMSE equalizers, which provably converges to a locally optimal stationary point of both problems. Such an algorithm for a LP based DSL system with per-line total power constraints is the discrete multi-tone (DMT)-WMMSE [11], [12]. However, these WMMSE-based algorithms typically suffer from slow convergence rates.…”

Section: Introductionmentioning

confidence: 99%

Linear and Nonlinear Precoding Based Dynamic Spectrum Management for Downstream Vectored G.fast Transmission

Lanneer

Tsiaflakis

Maes

et al. 2017

IEEE Trans. Commun.

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Abstract-In the G.fast digital subscriber line (DSL) frequency range (up to 106 or 212 MHz), where crosstalk channels may even become larger than direct channels, linear zero-forcing (ZF) precoding is no longer near-optimal for downstream (DS) vectored transmission. To improve performance, we develop a novel low-complexity algorithm for both linear and nonlinear precoding based dynamic spectrum management (DSM) that maximizes the weighted sum-rate under realistic per-line total power and per-tone spectral mask constraints. It applies to DS scenarios with a single copper line at each customer site [i.e. broadcast channel (BC) scenarios], as well as to DS scenarios with multiple copper lines at some or all customer sites (i.e. the so-called multiple-input-multiple-output (MIMO)-BC scenarios). The algorithm alternates between precoder and equalizer optimization, where the former relies on a Lagrange multiplier based transformation of the DS dual decomposition approach formulation into its dual upstream (US) formulation, together with a low-complexity iterative fixed-point formula to solve the resulting US problem. Simulations with measured G.fast channel data of a very high crosstalk cable binder are provided revealing a significantly improved performance of this algorithm over ZF techniques for various scenarios, and in addition, a faster convergence rate compared to the state-of-the-art WMMSE algorithm.Index Terms-DSL, G.fast, dynamic spectrum management (DSM), optimal spectrum balancing (OSB), precoding, broadcast channel (BC), MIMO-BC

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“…Hence, differently to work on power allocation inside Vectoring groups with [8] or without [11] residual inter-user crosstalk and coupled power allocation, our proposed model includes multiple Vectoring groups and ICI effects. Transmit and receive Vectoring matrix optimization in DSL under ICI has been studied in [13], however, without considering per-transceiver PSD and ATP constraints. Coexistence of G.fast and VDSL2 has recently been analyzed in [14].…”

Section: Introductionmentioning

confidence: 99%

Maintaining harmony in the vectoring xDSL family by spectral coordination

Wolkerstorfer

Statovci

Drakulic

2015

2015 49th Asilomar Conference on Signals, Systems and Computers

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In multi-user and multi-carrier Digital Subscriber Line (DSL) access networks various DSL technologies, with or without crosstalk cancelation (Vectoring) capabilities, may coexist. Spectral resource management promotes collaboration among users. However, resource allocation is complicated by inter-carrier interference and strong near-end crosstalk due to mixed/asynchronous DSL technologies. Furthermore, Vectoring is subject to residual crosstalk, as well as coupling per-transceiver and per-carrier power constraints. We present a joint model of these effects, and analyze the net-data-rates of the recent G.fast and 35 MHz VDSL2 technologies in a specific coexistence scenario. The results exemplify the tradeoff between upstream and downstream net-data-rates.

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DMT MIMO IC rate maximization in DSL with per-transceiver power constraints

Cited by 5 publications

References 28 publications

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL

Linear and Nonlinear Precoding Based Dynamic Spectrum Management for Downstream Vectored G.fast Transmission

Maintaining harmony in the vectoring xDSL family by spectral coordination

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