Semi-Blind Power Allocation for Digital Subscriber Lines

Moraes, Rodrigo; Dortschy, Boris; Klautau, Aldebaro; Riu, Jaume Rius i

doi:10.1109/icc.2008.275

Cited by 11 publications

(9 citation statements)

References 5 publications

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“…In (36), χ k n is still given by (28) (just substitute n for '1'), and ǫ k n and τ k n are still given by (24) and (25). However, in this case XXT k n is, similarly to (26), given by all possible second order multiplications (without repetition) of crosstalk originating from different users. Higher order terms are similarly defined.…”

Section: N User Casementioning

confidence: 96%

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Dynamic Spectrum Management in DSL With Asynchronous Crosstalk

Moraes

Tsiaflakis

Moonen

2024

IEEE Trans. Signal Process.

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In this paper we focus on discrete multitone (DMT) dynamic spectrum management (DSM) in digital subscriber lines (DSL) networks with asynchronous crosstalk. DSM aims to optimally allocate per-user transmit spectra so that the effect of multi-user crosstalk is minimized and the capabilities of the network maximized. Most DSM solutions so far address an idealized situation, one in which all users' DMT blocks in the network are perfectly synchronized and crosstalk is dealt with on a per-tone basis. We focus on the case in which the DMT blocks of the various users are offset amongst each other, which leads to inter-carrier interference (ICI). ICI significantly impacts the performance of the system and complicates the DSM optimization problem considerably, as the per-tone decoupling used for the synchronous case is no longer directly applicable. Our contribution is twofold: First, we derive a new and accurate model for the effect of the ICI; Second, we provide a novel DMT DSM algorithm that outperforms the existing state-of-the-art. Index Terms-SPC-TDLS, SPC-MULT, SPC-CRDS.

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Section: N User Casementioning

confidence: 96%

“…Of critical importance to the following sections is the crosstalk damage ratio (CDR). The CDR first appeared in [26] and is defined by…”

Section: Novel Algorithmmentioning

confidence: 99%

Dynamic Spectrum Management in DSL With Asynchronous Crosstalk

Moraes

Tsiaflakis

Moonen

2024

IEEE Trans. Signal Process.

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“…These techniques have a relatively high computational cost and coordination requirements, and are out of the scope of this work. For DSM level 1 (autonomous mode of operation) and level 2 (multiuser spectrum coordination), there is the spectrum balancing (SB) set, which consists of algorithms based on multiuser cooperation that dynamically adapt the transmit signals according to variations in channel conditions [2]- [9].…”

Section: Introductionmentioning

confidence: 99%

A (Very) Brief Survey on Optimization Methods for Wireless Communication Systems

Guimarães

Guerreiro

Sousa

et al. 2010

Anais De VII International Telecommunications Symposium

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This work proposes a method for the evaluation of the effectiveness of adopting dynamic spectral management (DSM) algorithms in different DSL scenarios. In the last years several DSM algorithms emerged in the literature but their comparison has been typically conducted within few scenarios and considering specific operating points. This work proposes the adoption of the DSM effectiveness factor (DEF) as a figure of merit capable of comparing the volumes of the whole rate regions, which expresses the set of operating points in the Pareto front. A random scenario generator was used to obtain four hundred DSL scenarios and compared flat power backoff (PBO) and DSM algorithms of levels 1 and 2. Besides confirming well-known facts, such that the effectiveness of DSM is significant in near-far scenarios, the results based on the proposed DEF allow to quantify the gains in bit rate that DSM can bring.

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“…This interference results from the electromagnetic coupling among different copper pairs in the same binder [1]. Aiming to minimize the crosstalk effects, one efficient alternative is to use spectrum balancing (SB) algorithms [2][3][4][5][6], which optimize the power spectrum density (PSD) masks of the transmitters such that an appropriate operating point is used.…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions

Bezerra

Klautau

Monteiro

et al. 2010

EURASIP J. Adv. Signal Process.

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There are many spectrum balancing algorithms to combat the deleterious impact of crosstalk interference in digital subscriber lines (DSL) networks. These algorithms aim to find a unique operating point by optimizing the power spectral densities (PSDs) of the modems. Typically, the figure of merit of this optimization is the bit rate, power consumption or margin. This work poses and solves a different problem: instead of providing the solution for one specific operation point, it finds a set of operating points, each one corresponding to a distinct matrix with PSDs. This solution is useful for planning DSL deployment, for example, helping operators to conveniently evaluate their network capabilities and better plan their usage. The proposed method is based on a multiobjective formulation and implemented as an evolutionary genetic algorithm. Simulation results show that this algorithm achieves a better diversity among the operating points with lower computational cost when compared to an alternative approach.

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Semi-Blind Power Allocation for Digital Subscriber Lines

Cited by 11 publications

References 5 publications

Dynamic Spectrum Management in DSL With Asynchronous Crosstalk

Dynamic Spectrum Management in DSL With Asynchronous Crosstalk

A (Very) Brief Survey on Optimization Methods for Wireless Communication Systems

An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions

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