Skip to main navigation Skip to search Skip to main content

Complete characterization of the Pareto boundary of interference-coupled wireless systemswith power constraints - The log-convex case

  • Technische Universität Berlin
  • Heinrich Hertz Institute

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

5 Scopus citations

Abstract

In this paper we analyze the structure of certain powerconstrained utility sets, based on the axiomatic framework of log-convex interference functions. Log-convex interference functions contain convex and linear interference functions as a special case. We analyze the boundary of the set. It is shown how Pareto optimality of boundary points depends on the interference coupling between the users. Finally, we investigate feasible sets of signal-to- interference-plus-noise ratios for individual power constraints and a sum power constraint. We show certain properties that are desirable, e.g. in the context of cooperative game theory.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
Pages3637-3640
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - Taipei, Taiwan, Province of China
Duration: 19 Apr 200924 Apr 2009

Publication series

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

Conference

Conference2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Country/TerritoryTaiwan, Province of China
CityTaipei
Period19/04/0924/04/09

Keywords

  • Game theory
  • Interference functions
  • Nash bargaining
  • Resource allocation
  • SIR feasible set

Fingerprint

Dive into the research topics of 'Complete characterization of the Pareto boundary of interference-coupled wireless systemswith power constraints - The log-convex case'. Together they form a unique fingerprint.

Cite this