Weighted sum rate maximization on two user Gaussian interference channels with rate splitting

Maximilian Riemensberger, Ines Abdelghani, Johannes Lenz, Wolfgang Utschick

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

1 Scopus citations

Abstract

In interference limited networks treating interference as noise leads to performance degradation at high transmit powers. This can be avoided with rate splitting schemes (Han-Kobayashi region) where portions of the interference are decoded and removed at each receiver. We propose an algorithmic framework for solving the weighted sum rate maximization problem for the two user case of Gaussian interference channels. The polyblock outer approximation algorithm is used to solve the problem despite its nonconvexity. Contrary to usual brute force sampling approaches this framework may be extended to more users and other Gaussian interference models such as the X channel.

Original languageEnglish
Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Pages1115-1119
Number of pages5
DOIs
StatePublished - 2009
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 1 Nov 20094 Nov 2009

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference43rd Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period1/11/094/11/09

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