大规模MIMO系统中基于信道相关性的多用户配对分组策略的研究
首发时间:2020-04-01
摘要:大规模MIMO(Massive MIMO)技术一直是通信领域研究的热点。理论上来说,在基站侧部署大量天线可以得到丰富的空间自由度,从而提升系统的频谱利用率、能量效率和系统容量。然而,在实际的应用场景中,由于基站侧部署的天线数目不能无限大,则复用相同时频资源的用户间会产生共道干扰。因此,为了降低共道干扰以及更充分的利用系统有限的时频资源,本文基于空间信道相关性,提出了一种改进的自适应的多用户配对分组策略。仿真结果表明,该策略有效降低了自适应的多用户配对分组策略中存在的偶然性和随机性,使得分配到同一个配对用户组中的任意两个用户之间的空间信道相关性都低于阈值(信道相关性的门限值)。该策略还使得选取的最佳阈值(系统总速率取得最大时的阈值)尽可能的低,进一步降低了用户间的干扰。因此,该策略在提升系统容量的同时有效降低了用户间的干扰,较大幅度增加了系统吞吐量,改善了系统的性能。本文还讨论了配对分组数目对系统性能的影响。
关键词: Massive MIMO 空间信道相关性 共道干扰 最佳阈值 配对分组
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Research on multi-user paired grouping strategy based on channel correlation in large scale MIMO systems
Abstract:Massive MIMO technology has been a hot topic in the field of communication. Theoretically, a large number of antennas can be deployed at the base station side to obtain abundant degrees of Freedom, so as to improve the spectrum utilization, energy efficiency and system capacity of the system. However, in practical application scenarios, because the number of antennas deployed at the base station side cannot be infinite, there will be common channel interference between users multiplexing the same simultaneous frequency resources.Therefore, in order to reduce the co-channel interference and make full use of the limited time-frequency resources of the system, an improved adaptive multi-user pairing and grouping strategy is proposed based on spatial channel correlation. Simulation results show that this strategy can effectively reduce the randomness and randomness in the adaptive multi-user pairing grouping strategy, so that the spatial channel correlation between any two users assigned to the same paired user group is below the threshold value (threshold value of channel correlation). The strategy also makes the selected optimal threshold (the threshold when the total system rate reaches the maximum) as low as possible, further reducing the interference between users. Therefore, this strategy effectively reduces the interference between users while improving the system capacity, greatly increases the system throughput, and improves the performance of the system. The effect of the number of paired groups on system performance is also discussed.
Keywords: Massive MIMO spatial channel correlation common channel interference optimal threshold paired grouping
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