Classical antenna selection schemes require instantaneous channel state information (CSI). This leads to high signaling overhead in the system. This work proposes a novel joint receive antenna selection and precoding scheme for multiuser multiple-input multiple-output uplink transmission that relies only on the long-term statistics of the CSI. The proposed scheme designs the switching network and the uplink precoders, such that the expected throughput of the system in the long term is maximized. Invoking results from the random matrix theory, we derive a closed-form expression for the expected throughput of the system. We then develop a tractable iterative algorithm to tackle the throughput maximization problem, capitalizing on the alternating optimization and majorization-maximization (MM) techniques. Numerical results substantiate the efficiency of the proposed approach and its superior performance as compared with the baseline.
翻译:经典天线选择计划需要即时频道状态信息(CSI) 。 这导致系统管理费信号高。 这项工作提出了一个新的联合接收多用户多投入多输出多输出上链接传输的天线选择和预编码计划,该计划仅依赖CSI的长期统计数据。 拟议的计划设计了切换网络和上链预译器,以便从长远上尽量扩大系统的预期吞吐量。 引用随机矩阵理论的结果, 我们为系统的预期吞吐量得出了封闭式表达式。 然后我们开发了一种可移动的迭代算法,以解决吞吐最大化问题,利用交替优化和主要化-最大化(MM)技术。 数字结果证实了拟议方法的效率及其优于基线的绩效。