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Uniformly Reweighted Belief Propagation for Estimation and Detection in Wireless Networks

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3 Author(s)
Wymeersch, H. ; Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden ; Penna, F. ; Savic, V.

In this paper, we propose a new inference algorithm, suitable for distributed processing over wireless networks. The algorithm, called uniformly reweighted belief propagation (URW-BP), combines the local nature of belief propagation with the improved performance of tree-reweighted belief propagation (TRW-BP) in graphs with cycles. It reduces the degrees of freedom in the latter algorithm to a single scalar variable, the uniform edge appearance probability ρ. We provide a variational interpretation of URW-BP, give insights into good choices of ρ, develop an extension to higher-order potentials, and complement our work with numerical performance results on three inference problems in wireless communication systems: spectrum sensing in cognitive radio, cooperative positioning, and decoding of a low-density parity-check (LDPC) code.

Published in:

Wireless Communications, IEEE Transactions on  (Volume:11 ,  Issue: 4 )

Date of Publication:

April 2012

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