Gaussian Belief Propagation Based Multiuser Detection

In this work, we present a novel construction for solving the linear multiuser detection problem using the Gaussian Belief Propagation algorithm. Our algorithm yields an efficient, iterative and distributed implementation of the MMSE detector. Compared to our previous formulation, the new algorithm offers a reduction in memory requirements, the number of computational steps, and the number of messages passed. We prove that a detection method recently proposed by Montanari et al. is an instance of ours, and we provide new convergence results applicable to both.

• Type: Journal
• Year: 2008
• Where: CORR
• Authors: Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf
• Keywords: Belief Propagation Algorithm, CORR 2008, Education, Linear Multiuser Detection, MMSE Detector