Abstract
In this paper, the channel model of distributed multiple input multiple output (MIMO) systems is introduced and a low-complexity antenna selection algorithm based on adaptive Markov chain Monte Carlo (MCMC) optimization method is proposed for the uplink receive antenna selection in the distributed MIMO systems to approach the maximum capacity. Simulation results indicate that the performance of the MCMC algorithm is very close to the optimal result and the computational complexity is decreased considerably.
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