Noisy-interference sum-rate capacity of parallel Gaussian interference channels

Xiaohu Shang, Biao Chen, Gerhard Kramer, H. Vincent Poor

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

The sum-rate capacity of the parallel Gaussian interference channel is shown to be achieved by independent transmission across subchannels and treating interference as noise if the channel coefficients and power constraints satisfy a certain condition. The condition requires the interference to be weak, a situation commonly encountered, e.g., in digital subscriber line transmission. The optimal power allocation is characterized by using the concavity of the sum-rate capacity as a function of the power constraints.

Original languageEnglish (US)
Article number5673959
Pages (from-to)210-226
Number of pages17
JournalIEEE Transactions on Information Theory
Volume57
Issue number1
DOIs
StatePublished - Jan 2011

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Keywords

  • Capacity
  • Gaussian
  • interference
  • parallel channel

ASJC Scopus subject areas

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

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