Outage analysis of block-fading gaussian interference channels

Yang Weng, Daniela Tuninetti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper considers the asymptotic behavior of the outage probability of two-source block-fading SISO interference channels (IFC) in the high-SNR regime. As opposed to previous works, we characterize the diversity, i.e., exponent of the outage probability, for asymmetric networks, that is to say, for arbitrary signal and interference levels at the receivers. Our result is not just a simple extension of previous results for symmetric networks, as our setting covers scenarios that are not possible in symmetric networks, such as the case of "mixed" interference, i.e., when difference sources have different distances from their intended receivers. We derive upper and lower bounds on the diversity. We show that, when the channel is symmetric and the interference is strong (above a value depending on the fading of the direct link), sending all common information is optimal, while when the interference is comparably weaker than the threshold, achievable schemes without rate splitting do not meet the diversity upper bound in general. Similar results hold in the mixed interference case.

Original languageEnglish (US)
Title of host publication2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Pages608-612
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 - Perugia, Italy
Duration: Jun 21 2009Jun 24 2009

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Country/TerritoryItaly
CityPerugia
Period6/21/096/24/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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