Novel bitloading algorithms for coded G.fast DSL transmission with linear and nonlinear precoding

Neckebroek, Julie; Moeneclaey, Marc; Coomans, Werner; Guenach, M.; Tsiaflakis, Paschalis; Moraes, Rodrigo; Maes, Jochen

doi:10.1109/icc.2015.7248444

Cited by 18 publications

(15 citation statements)

References 11 publications

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“…Therefore we may assume thatn t k follows the Gaussian distribution, and consequently, the SNR gap of (44) is applicable both to the ZFP based linear vectoring, as well as to all other modulo receiver based vectoring schemes. However, for low modulation orders, the modulo loss is not negligible and the exact value may be determined via simulation, as done in [223].…”

Section: ) Inner Spectrum Balancing Policymentioning

confidence: 99%

“…Since both (41) and (42) are defined on a per-pair basis, we have to evaluate TxPSD for each active pair, given the power assignment policy and the precoder. Based on [223] and the general assumption where E{|u t k | 2 } = 1, in the plain ZFP and the ZF-THP, E{|x t k | 2 } is related to P P P t by:…”

Section: ) Inner Spectrum Balancing Policymentioning

confidence: 99%

“…, K of the same tone t. Therefore, we will mainly consider centralized DSB algorithms. Furthermore, due both to the non-convexity of VMR computation (which is required for per pair TxPSD and per pair ATP characterization) and to the paucity of literature for joint LRMUP-DSB, we shall use the greedy heuristic bit loading algorithm based on [223], [235] as an extension of the provably optimal singlepair case of [236] for fairly assessing the performances of the vectoring schemes. At the time of writing, we have not found successful application of the duality principle of [226], [227] to overcome the non-convexity associated with lattice reduction.…”

Section: B Spectrum Balancing Algorithms 1) Historical Notementioning

confidence: 99%

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Far-End Crosstalk Mitigation for Future Wireline Networks Beyond G.mgfast: A Survey and an Outlook

Zhang

et al. 2020

IEEE Access

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With the escalating demand for high speed, high reliability, low latency, low cost and ubiquitous connectivity, the telecommunications industry is entering a new era where the ultimate optimality of the current wireline-wireless access network has to be achieved. Regarding the current wireline network paradigm, dominated by the copper-based digital subscriber lines (DSL) technology, multi-Gigabit data rate is the ambitious design objective at the customer end for the forthcoming ITU-T G.mgfast standard. In order to prepare for the new challenges in the era of total network convergence, both the wireline and the wireless community must be able to think beyond their respective conventions and learn from each other if necessary. Overall, the current DSL-based wireline network architecture is prone to the mutual interference resulting in far-end crosstalk (FEXT). The newly expanded 424/848 MHz spectrum of the ambitious G.mgfast project introduces far higher FEXT than that over the current 212/30 MHz G.fast/VDSL2 band. Additionally, the coexistence of multiple standards will also cause 'alien' FEXT. In these cases, using the plain zero forcing precoding (ZFP) will no longer attain a sufficiently high performance. However, as shown in the field of wireless communications, using lattice reduction as a signal space remapping technique significantly improves the performance of traditional multiuser detectors (MUD) and of the respective multiuser precoders (MUP). These promising techniques have largely remained unexploited in commercial wireless communications, due to their complexity in the face of the rapidly fluctuating wireless channels. In this survey, we present an overview of the state-of-the-art in wireline access network and an outlook for recent technological advances in the holistic 'wireline + wireless' access network in the context of network convergence, focusing on the dominant challenge of FEXT mitigation in future DSL networks. Against this background, we investigate both the family of linear precoding and of the Tomlinson-Harashima precoding (THP) schemes conceived for classic DSL. Furthermore, we present a tutorial on the family of lattice reduction aided MUPs, as well as quantifying their expected performances in realistic DSL scenarios. As a by-product, we also demonstrate the duality between MUP and MUD, in the hope that the fifty years' history of MUD could be used to accelerate the development of efficient near-optimal MUPs for future DSL. Under the recommended operating conditions of the 212 MHz profile of G.fast, our benchmark comparisons indicate that the lattice reduction aided techniques are very powerful compared to conventional schemes. In particular, their good performances do not rely on optimized spectrum balancing, and they are also shown to be relatively robust against channel state information (CSI) estimation error, under the assumption of perfectly time-invariant DSL channels.

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Section: ) Inner Spectrum Balancing Policymentioning

confidence: 99%

Section: ) Inner Spectrum Balancing Policymentioning

confidence: 99%

Section: B Spectrum Balancing Algorithms 1) Historical Notementioning

confidence: 99%

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Far-End Crosstalk Mitigation for Future Wireline Networks Beyond G.mgfast: A Survey and an Outlook

Zhang

et al. 2020

IEEE Access

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“…DPC can be implemented in practice with Tomlinsom-Harashima precoding (THP) [17], [18] which is a well-known technique in the DSL community. However, note that there is a small performance gap between the DPC concept and the THP implementation due to the necessary modulo operations resulting in some power penalties [19].…”

Section: A Nonlinear Precodingmentioning

confidence: 99%

“…For instance, the power penalties due to the modulo operations resulting in an increased transmit power and capacity gap have been ignored [19]. Furthermore, we have assumed perfect channel state information and ideal signal processing, even though NLP schemes have recently been shown to be sensitive to channel estimation errors and other non-idealities [34].…”

Section: A Performance Comparison With Zf Techniquesmentioning

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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Precoding Optimization for Copper Line Networks

Strobel

2018

Channel Modeling and Physical Layer Optimization in Copper Line Networks

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Novel bitloading algorithms for coded G.fast DSL transmission with linear and nonlinear precoding

Cited by 18 publications

References 11 publications

Far-End Crosstalk Mitigation for Future Wireline Networks Beyond G.mgfast: A Survey and an Outlook

Far-End Crosstalk Mitigation for Future Wireline Networks Beyond G.mgfast: A Survey and an Outlook

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

Precoding Optimization for Copper Line Networks

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