Rate adaptation for 802.11 multiuser mimo networks
Proceedings of the 18th annual international conference on Mobile computing and networking
EDA-Based Scheduling of Users in the MIMO Multiple Access Channel
Wireless Personal Communications: An International Journal
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A low complexity user scheduling algorithm based on a novel adaptive Markov chain Monte Carlo (AMCMC) method is proposed to achieve the maximal sum capacity in an uplink multiple-input multiple-output (MIMO) multiuser system. Compared with the existing scheduling algorithms, our algorithm is not only more efficient but also converges to within 99% of the optimal capacity obtained by exhaustive search. We demonstrate the convergence of the proposed scheduling algorithm and study the tradeoff between its complexity and performance.