Distributed power control and coding-modulation adaptation in wireless networks using annealed Gibbs sampling

Shan Zhou, Xinzhou Wu, Lei Ying

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

10 Scopus citations

Abstract

In wireless networks, the transmission rate of a link is determined by received signal strength, interference from simultaneous transmissions, and available coding-modulation schemes. Rate allocation is a key problem in wireless network design, but a very challenging problem because: (i) wireless interference is global, i.e., a transmission interferes all other simultaneous transmissions, and (ii) the rate-power relation is non-convex and non-continuous, where the discontinuity is due to limited number of coding-modulation choices in practical systems. In this paper, we consider a realistic Signal-to-Interference-and-Noise-Ratio (SINR) based interference model, and assume continuous power space and finite rate options (coding-modulation choices). We propose a distributed power control and coding-modulation adaptation algorithm using annealed Gibbs sampling, which achieves throughput optimality in an arbitrary network topology.

Original languageEnglish (US)
Title of host publication2012 Proceedings IEEE INFOCOM, INFOCOM 2012
Pages3016-3020
Number of pages5
DOIs
StatePublished - Jun 4 2012
EventIEEE Conference on Computer Communications, INFOCOM 2012 - Orlando, FL, United States
Duration: Mar 25 2012Mar 30 2012

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

OtherIEEE Conference on Computer Communications, INFOCOM 2012
CountryUnited States
CityOrlando, FL
Period3/25/123/30/12

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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    Zhou, S., Wu, X., & Ying, L. (2012). Distributed power control and coding-modulation adaptation in wireless networks using annealed Gibbs sampling. In 2012 Proceedings IEEE INFOCOM, INFOCOM 2012 (pp. 3016-3020). [6195750] (Proceedings - IEEE INFOCOM). https://doi.org/10.1109/INFCOM.2012.6195750