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. We compare our algorithm's performance to a recent result and show an improved memory consumption, reduced computation steps and a reduction in the number of sent messages. We prove that recent work by Montanari et al. is an instance of our general algorithm, providing new convergence results for both algorithms. 
Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel and Jack K.   Wolf