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作 者:周好生 韩韧[1] 占庆杰 ZHOU Hao-sheng;HAN Ren;ZHAN Qing-jie(University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, Shanghai 200093)
出 处:《软件》2019年第6期81-87,共7页Software
基 金:上海市科技创新行动计划资助项目(17511109100)
摘 要:本文重点研究了多用户MIMO系统上行链路中用户选择的问题,提出了基于分组的用户选择模型。该模型可以减少用户竞争次数,有效降低隐藏节点和竞争导致冲突的概率。进而通过用户之间的信道相关性改进用户选择算法,在计算量较低的情况下,选择出优化的波束用户组。仿真结果表明,使用本文提出的分组式用户选择算法在误码率和信道容量这两方面性能均有较大提升,在信噪比较低时,性能提升尤为明显。This paper focuses on, user grouping in uplink multi-user MIMO system. A group-based user selection model is proposed to alleviate contentions among users, which can reduce the collision probability caused by hidden nodes and contentions. The user group selection algorithm is proposed by considering the channel correlation between users which achieves the optimal beam setup and user group with low computational complexity. The simulation results confirms that the proposed algorithm performs well on the aspects bit error rate and channel capacity in various cases. Especially, under the low signal-to-noise level, there is an effective performance improvement for the uplink multiuser MIMO system.
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