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In this paper, we study the problem of sparse channel estimation via acollaborative and fully distributed approach. The estimation problem isformulated in the angular domain by exploiting the spatially common sparsitystructure of the involved channels in a multi-user scenario. The sparse channelestimation problem is solved via an efficient distributed approach in which theparticipating users collaboratively estimate their channel sparsity supportsets, before locally estimate the channel values, under the assumption thatglobal and common support subsets are present. The performance of the proposedalgorithm, named WDiOMP, is compared to DiOMP, local OMP and a centralizedsolution based on SOMP, in terms of the support set recovery error undervarious experimental scenarios. The efficacy of WDiOMP is demonstrated even inthe case in which the underlining sparsity structure is unknown.

A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems