Interference management with mismatched partial channel state information

Alireza Vahid, Vaneet Aggarwal, A. Salman Avestimehr, Ashutosh Sabharwal

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


We study the fundamental limits of communications over multi-layer wireless networks where each node has only limited knowledge of the channel state information. In particular, we consider the scenario in which each source-destination pair has only enough information to perform optimally when other pairs do not interfere. Beyond that, the only other information available at each node is the global network connectivity. We propose a transmission strategy that solely relies on the available limited knowledge and combines coding with interference avoidance. We show that our proposed strategy goes well beyond the performance of interference avoidance techniques. We present an algebraic framework for the proposed transmission strategy based on which we provide a guarantee of the achievable rate. For several network topologies, we prove the optimality of our proposed strategy by providing information-theoretic outer-bounds.

Original languageEnglish (US)
Article number134
JournalEurasip Journal on Wireless Communications and Networking
Issue number1
StatePublished - Dec 1 2017

ASJC Scopus subject areas

  • Signal Processing
  • Computer Science Applications
  • Computer Networks and Communications


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