A centralized multi-level water-filling algorithm for Dynamic Spectrum Management | IEEE Conference Publication | IEEE Xplore

A centralized multi-level water-filling algorithm for Dynamic Spectrum Management


Abstract:

In digital-subscriber-line (DSL) networks, the interference, or crosstalk, between multiple DSL lines can severely limit the data-rate of the lines. Level-2 Dynamic Spect...Show More

Abstract:

In digital-subscriber-line (DSL) networks, the interference, or crosstalk, between multiple DSL lines can severely limit the data-rate of the lines. Level-2 Dynamic Spectrum Management (DSM) optimizes the transmit spectra of multiple DSL lines to mitigate such mutual interference. This paper proposes a centralized multi-level water-filling (MLWF) Level-2 DSM algorithm for optimizing the transmit spectra for multiple DSL lines at a Spectrum Management Center (SMC). The algorithm is a practical approximation to the more complex Optimal Spectrum Balancing (OSB), which is known to present computational issues in practice. The intuition behind the algorithm is that a DSL user should first try to use frequency bands where less interference is emitted unless its target data rate cannot be met. The frequency bands are characterized by one or more cut-off frequencies that separate the bands. MLWF uses a centralized gradient-descent algorithm to search for such cut-off frequencies. After obtaining the cut-off frequencies, MLWF first uses a water-filling algorithm to compute the power spectrum density (PSD) of each user, and then moves bits from the user's high-interference band to its low-interference bands to minimize its crosstalk to the adjacent DSL lines. The PSDs obtained by MLWF are subsequently passed to each DSL user as PSDMASKs for transmit spectra shaping. Simulations showed that MLWF achieves close to optimal performance with significantly less computational complexity and much faster convergence.
Date of Conference: 01-04 November 2009
Date Added to IEEE Xplore: 20 May 2010
ISBN Information:

ISSN Information:

Conference Location: Pacific Grove, CA, USA

I. Introduction

Optimization of the transmit spectra among multiple users reduces interference in modern communication systems. With a limited bandwidth and an increasing number of users, the achievable data rates in various wireless and wireline networks are limited by the interference between users. In a DSL network, the crosstalk between the copper lines becomes a severe limitation to the data rate when the distance between the interfering transmitter and the victim receiver is small. An excellent management of the crosstalk between the various users sharing a DSL binder is critical in further increasing data rate and reducing power consumption in DSL networks. Dynamic Spectrum Management provides a framework for such management; specifically, level-2 DSM methods, often referred to as spectrum balancing algorithms, optimize the users' spectra by reducing the crosstalk between users [1].

Contact IEEE to Subscribe

References

References is not available for this document.