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文章研究了大规模MIMO广播信道中的分布式用户选择策略,并应用迫零波束成形(ZFBF)技术与正规化迫零波束成形(RZFBF)技术抑制干扰。采用博弈论对用户进行分布式的动态选择,将其中各个用户看成是博弈的参与者。经过证明,可知博弈拥有至少一个纯策略纳什均衡(NE),最大化信道容量的最优策略组成一个纳什均衡,并提出了一个分布式算法实现纳什均衡。仿真结果表明,与已知的两个算法进行比较,通过有限反馈,可以达到最优或者渐进最优的性能,且实现简单。
In this paper, the distributed user selection strategy in large-scale MIMO broadcast channel is studied. ZFBF and RZFBF are used to suppress the interference. Using game theory, users are distributed and dynamically selected, in which each user is regarded as a participant of the game. Proved, we can see that the game has at least one pure strategy Nash Equilibrium (NE), the optimal strategy to maximize the channel capacity to form a Nash equilibrium, and proposed a distributed algorithm to achieve Nash equilibrium. The simulation results show that compared with the two known algorithms, the optimal or asymptotic optimal performance can be achieved with limited feedback, and the implementation is simple.