Noisy-interference sum-rate capacity for vector gaussian interference channels

Xiaohu Shang, H. Vincent Poor

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

New sufficient conditions for a vector Gaussian interference channel to achieve the sum-rate capacity by treating interference as noise are derived, which generalize and extend the existing results. More concise conditions for multiple-input single-output, and single-input multiple-output scenarios are obtained.

Original languageEnglish (US)
Article number6293894
Pages (from-to)132-153
Number of pages22
JournalIEEE Transactions on Information Theory
Volume59
Issue number1
DOIs
StatePublished - Jan 7 2013

All Science Journal Classification (ASJC) codes

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

Keywords

  • Capacity
  • interference
  • multiple-input multiple-output

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