TY - JOUR
T1 - Interference management with mismatched partial channel state information
AU - Vahid, Alireza
AU - Aggarwal, Vaneet
AU - Avestimehr, A. Salman
AU - Sabharwal, Ashutosh
N1 - Funding Information:
The work of A. Vahid is in part supported by Qualcomm Innovation Fellowship. The work of A. S. Avestimehr is in part supported by NSF grant CCF-1419632 and ONR award N000141612189.
Publisher Copyright:
© 2017, The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
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U2 - 10.1186/s13638-017-0917-0
DO - 10.1186/s13638-017-0917-0
M3 - Article
AN - SCOPUS:85026880443
VL - 2017
JO - Eurasip Journal on Wireless Communications and Networking
JF - Eurasip Journal on Wireless Communications and Networking
SN - 1687-1472
IS - 1
M1 - 134
ER -