Gaussian interference networks: Sum capacity in the low-interference regime and new outer bounds on the capacity region

V. Sreekanth Annapureddy, Venugopal V. Veeravalli

Research output: Contribution to journalArticlepeer-review

Abstract

Establishing the capacity region of a Gaussian interference network is an open problem in information theory. Recent progress on this problem has led to the characterization of the capacity region of a general two-user Gaussian interference channel within one bit. In this paper, we develop new, improved outer bounds on the capacity region. Using these bounds, we show that treating interference as noise achieves the sum capacity of the two-user Gaussian interference channel in a low-interference regime, where the interference parameters are below certain thresholds. We then generalize our techniques and results to Gaussian interference networks with more than two users. In particular, we demonstrate that the total interference threshold, below which treating interference as noise achieves the sum capacity, increases with the number of users.

Original languageEnglish (US)
Pages (from-to)3032-3050
Number of pages19
JournalIEEE Transactions on Information Theory
Volume55
Issue number7
DOIs
StatePublished - 2009

Keywords

  • Capacity
  • Genie
  • Interference channel
  • Outer bound
  • Treating interference as noise

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Gaussian interference networks: Sum capacity in the low-interference regime and new outer bounds on the capacity region'. Together they form a unique fingerprint.

Cite this