Distributed interference compensation for multi-channel wireless networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

555 Scopus citations

Abstract

We present distributed power control algorithms for a wireless peer-to-peer net- work with multiple channels per user. Users exchange "price" signals that indicate the negative effect of interference at the receivers in each channel. Given this set of prices, each transmitter chooses a power allocation across channels to maximize its net benefit (utility minus cost), subject to a total power constraint. We consider two specific algorithms for power and price updates, and establish global convergence for both algorithms to the unique globally optimal power allocation for a class of concave user utility functions. When the utility functions represent achievable rates, global convergence is not guaranteed; however, we show numerically that the proposed power control algorithms achieve much better performance than iterative water-filling, in which users maximize their own rates without exchanging price information.

Original languageEnglish (US)
Title of host publication43rd Annual Allerton Conference on Communication, Control and Computing 2005
PublisherUniversity of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
Pages1490-1499
Number of pages10
ISBN (Electronic)9781604234916
DOIs
StatePublished - Jan 1 2005
Event43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States
Duration: Sep 28 2005Sep 30 2005

Publication series

Name43rd Annual Allerton Conference on Communication, Control and Computing 2005
Volume3

Other

Other43rd Annual Allerton Conference on Communication, Control and Computing 2005
CountryUnited States
CityMonticello
Period9/28/059/30/05

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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