Vectoring-based dynamic spectrum management for G.fast multi-user full-duplex transmission

Lanneer, Wouter; Verdyck, Jeroen; Tsiaflakis, Paschalis; Maes, Jochen; Moonen, Marc

doi:10.1109/pimrc.2017.8292641

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…DSB) spectrum management strategies for achieving the optimal sum-rate of a multi-pair channel. From a holistic perspective, the optimal multi-level DSM scheme should ideally aim for jointly optimizing all operational layers defined in Table 3, and for all known interferences [234]. The general multi-level DSM paradigm and its algorithms may be considered as follows depending on the transmission link direction:…”

Section: B Spectrum Balancing Algorithms 1) Historical Notementioning

confidence: 99%

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: B Spectrum Balancing Algorithms 1) Historical Notementioning

confidence: 99%

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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“…The scientific responsibility is assumed by its authors. This paper was presented in part at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Montreal, Canada, October 2017 [1].…”

Section: Acknowledgmentmentioning

confidence: 99%

“…In previous DSL technologies, the influence of NEXT has mostly 1 been avoided by dividing resources between US and DS transmission using FDD [4]- [7] or TDD [8]. This paper however considers FDX transmission, in which US and DS transmissions occur at the same time and in the same frequency band.…”

Section: Introductionmentioning

confidence: 99%

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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“…Each NUM-DSB surrogate problem ( 7) is solved using Algorithm 1. In turn, each iteration of Algorithm 1 requires solving a problem that is, apart from positivity constraint (7c), identical to the DSB surrogate problem (3). Assuming that the DSB surrogate problem can be solved efficiently, it is likely that each WSR maximization subproblem obtained by applying Algorithm 1 to problem (7) can be as well.…”

Section: Num-dsbmentioning

confidence: 99%

“…In many practical deployment scenarios however, the elimination of all crosstalk through vectoring is inhibited, such that one has to rely on spectrum coordination to tone down the effects of the residual crosstalk. Examples include fiber to the frontage deployments implementing multi-user full-duplex signaling [2], [3], and deployments where multiple DSL access multiplexers (DSLAMs) are active on a single cable binder This research work was carried out at the ESAT Laboratory of KU Leuven, in the frame of 1) Fonds de la Recherche Scientifique -FNRS and the Fonds Wetenschappelijk Onderzoek -Vlaanderen under EOS Project no 30452698 '(MUSE-WINET) MUlti-SErvice WIreless NETwork', 2) Research Project FWO nr. G.0B1818N 'Real-time adaptive cross-layer dynamic spectrum management for fifth generation broadband copper access networks', 3) VLAIO O&O Project nr.…”

Section: Introductionmentioning

confidence: 99%

Network Utility Maximization for Adaptive Resource Allocation in DSL Systems

Verdyck¹,

Blondia

Moonen³

2018

2018 26th European Signal Processing Conference (EUSIPCO)

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When signal coordination techniques can not eliminate all crosstalk in a digital subscriber line (DSL) system, competition for data rate among different users is strong. In such scenarios, employing a static resource allocation fails to capitalize on the time dependent nature of the traffic carried by the DSL network. An alternative approach is adaptive resource allocation, consisting of dividing time into slots of short duration and using a different resource allocation in each slot. A cross-layer scheduler then decides on the resource allocation for each time slot by solving a network utility maximization (NUM) problem. For many DSL systems however, this NUM problem is non-convex and solving it is NP-hard. This paper presents a fast algorithm for finding a local solution to the NUM problem, which is referred to as NUM-DSB. The algorithm is able to handle many DSL deployment scenarios, and is applicable regardless of the utility function's properties.

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Vectoring-based dynamic spectrum management for G.fast multi-user full-duplex transmission

Cited by 5 publications

References 7 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

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

Network Utility Maximization for Adaptive Resource Allocation in DSL Systems

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