A low complexity user scheduling algorithm for uplink multiuser MIMO systems

Journal article

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. © 2008 IEEE.

Authors: Zhang, Y; Ji, C; Liu, Y; Malik, W; O'Brien, D

• Publication status: Published
• Journal: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
• Volume: 7
• Issue: 7
• Pages: 2486-2491
• Publication date: 2008-07-01
• DOI: 10.1109/TWC.2008.070199
• ISSN: 1536-1276
• Language: English
• Keywords: adaptive Markov chain Monte Carlo (AMCMC); multiuser selection; sum capacity; scheduling; multiple-input multiple-output (MIMO)