Power allocation in gaussian interference relay channels via game theory

Yi Shi, Jia Heng Wang, Wei Lan Huang, Khaled Letaief

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

4 Citations (Scopus)

Abstract

We address the power allocation problem for interference relay channels. Due to the competitive nature of the multi-user environment, we model the problem as a strategic non-cooperative game and show that this game always has a unique Nash Equilibrium (NE), for any system profile. Two iterative algorithms, based on sequential and simultaneous updating, are proposed to achieve the unique NE in a distributed manner. We shall also prove that both algorithms always converge to the unique NE, from an arbitrary starting point. More importantly, the global optimality in terms of the sum information rate is achieved by the NE, when the interference is relatively low.

Original languageEnglish
Title of host publication2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Pages4128-4132
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
Duration: 30 Nov 20084 Dec 2008

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
CountryUnited States
CityNew Orleans, LA
Period30/11/084/12/08

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Shi, Y., Wang, J. H., Huang, W. L., & Letaief, K. (2008). Power allocation in gaussian interference relay channels via game theory. In 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 (pp. 4128-4132). [4698567] https://doi.org/10.1109/GLOCOM.2008.ECP.792