Low complexity user scheduling algorithms for uplink multiuser MIMO systems
LI Liang, QIU Ling, WEI Guo
Wireless Information Network Laboratory, University of Science and Technology of China, Hefei 230027, China
Abstract:
Two efficient and low complexity multiuser scheduling algorithms are proposed for the uplink multiple input multiple output systems in this paper. Conventionally, the exhaustive search algorithm (ESA) can give the optimal performance; however, it is complexity prohibitive for practical implementation. Aiming at reducing the complexity while keeping the achievable sum rate performance, two heuristic algorithms are proposed for the multiuser scheduling problems: the improved genetic algorithm and simplified norm based greedy algorithm. Moreover, we also consider the heterogeneity scenario where a modified grouping based user selection algorithm is given to guarantee the user’s fairness. Specifically, the asymptotic behavior of the norm based greedy algorithm is given when each user is equipped with one antenna. Numerical examples demonstrate the superiority of our proposed scheduling and grouping algorithms.
Key words: Genetic algorithm (GA), multiuser scheduling, multiple input multiple output (MIMO)
DOI：10.11916/j.issn.1005-9113.2012.02.018
Clc Number:TN92
Fund:
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Low complexity user scheduling algorithms for uplink multiuser MIMO systems
本站小编 哈尔滨工业大学/2019-10-24
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