Title :
Antenna selection algorithm using MCMC for distributed MIMO system
Author :
Yue Yin ; Xiaodong Xu
Author_Institution :
Wireless Technol. Innovation Inst., Beijing Univ. of Posts & Telecommun., Beijing, China
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.
Keywords :
MIMO communication; Markov processes; Monte Carlo methods; antenna arrays; receiving antennas; MCMC; adaptive Markov chain Monte Carlo optimization; antenna selection algorithm; computational complexity; distributed MIMO system; low-complexity antenna selection algorithm; multiple input multiple output systems; uplink receive antenna selection; MCMC; antenna selection; channel capacity; composite channel; distributed MIMO systems;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6525990
