Autonomous spectrum balancing for digital subscriber lines
Venue
IEEE Transactions on Signal Processing, vol. 8 (2007), pp. 4241-4257
Publication Year
2007
Authors
Raphael Cendrillon, Jianwei Huang, Mung Chiang, Marc Moonen
BibTeX
Abstract
The main performance bottleneck of modern digital subscriber line (DSL) networks is
the crosstalk among different lines (i.e., users). By deploying dynamic spectrum
management (DSM) techniques and reducing excess crosstalk among users, a network
operator can dramatically increase the data rates and service reach of broadband
access. However, current DSM algorithms suffer from either substantial
suboptimality in typical deployment scenarios or prohibitively high complexity due
to centralized computation. This paper develops, analyzes, and simulates a new
suite of DSM algorithms for DSL interference-channel models called autonomous
spectrum balancing (ASB). The ASB algorithms utilize the concept of a "reference
line," which mimics a typical victim line in the interference channel. In ASB, each
modem tries to minimize the harm it causes to the reference line under the
constraint of achieving its own target data-rate. Since the reference line is based
on the statistics of the entire network, rather than any specific knowledge of the
binder a modem operates in, ASB can be implemented autonomously without the need
for a centralized spectrum management center. ASB has a low complexity and
simulations using a realistic simulator show that it achieves large performance
gains over existing autonomous algorithms, coming close to the optimal rate region
in some typical scenarios. Sufficient conditions for convergence of ASB are also
proved.
