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为了提升大规模多用户多输入多输出系统的性能,对多用户选择方法进行了研究,提出了2种同时考虑用户信道质量和用户间干扰的多用户选择方法.通过将1 bit反馈法和最小化预编码向量相关性法结合,大大降低了用户选择的计算复杂度;基站端首先通过将所有用户组的预编码向量相关性与预定门限值比较,得到待选用户组的集合,然后选择待选用户组中信道增益和最大的一组用户服务,提升了系统的和容量.通过系统仿真验证了2种方法的有效性.
In order to improve the performance of large-scale multi-user multiple-input multiple-output system, a multi-user selection method is studied, and two multi-user selection methods are proposed, which consider the user channel quality and inter-user interference simultaneously. The combination of pre-coding vector correlation method greatly reduces the computational complexity of user selection. The base station first obtains the set of candidate user groups by comparing the precoding vector correlations of all user groups with the predetermined threshold values, and then selects The channel gain and the largest set of user services in the user group to be selected improve the system and capacity, and the effectiveness of the two methods is verified through system simulation.