Game theoretic resource allocation for m-dependent channels with application to OFDMA

Ilai Bistritz, Amir Leshem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper we consider the problem of channel allocation for users who access a common channel using OFDMA. The spectrum is divided into subchannels and we assume that the bandwidth of each subchannel is smaller than the coherence bandwidth. This leads to correlations between the channel coefficients for each user. We model these correlated channels as an m-dependent sequence and generate an interference game at random, according to some marginal fading distribution. Performance is measured by the sum of achievable rates. Using a novel analysis of the random pure NE of the game, we prove that even for correlated channels the M-frequency selective interference game, suggested in previous work, has only Nash equilibria that exhibit good performance with high probability, asymptotically with the number of users. This game is the basis for an asymptotically optimal and fully distributed OFDMA channel allocation algorithm, presented in simulations.

Original languageAmerican English
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4316-4320
Number of pages5
ISBN (Electronic)9781509041176
DOIs
StatePublished - 16 Jun 2017
Externally publishedYes
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: 5 Mar 20179 Mar 2017

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country/TerritoryUnited States
CityNew Orleans
Period5/03/179/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Correlated Channels
  • Game Theory
  • Nash Equilibrium
  • Random Games
  • Resource Allocation

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