Low complexity hybrid precoding for mmWave Massive MIMO systems

Yueyun Chen, Yanqing Xia, Yaxin Xing, Liuqing Yang
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引用次数: 4

Abstract

Massive MIMO has the advantage of providing excellent multiplexing/diversity gain and data rate due to the large antenna array equipped at the BS or UEs. However, the high hardware cost and computational complexity limit the practical implementation of large antenna array. In this paper, we formulate a Minimum Mean Square Error (MMSE) based optimization model under the partially-connected structure to reduce the hardware cost, and propose a low complexity hybrid precoding algorithm based on the Particle Swarm Ant Colony Optimization (HP-PSACO). Simulation results show that the proposed algorithm with low computational complexity achieves higher energy efficiency than the fully digital baseband precoding.
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毫米波大规模MIMO系统的低复杂度混合预编码
大规模MIMO的优点是,由于在基站或终端上配备了大型天线阵列,因此可以提供出色的多路/分集增益和数据速率。然而,高昂的硬件成本和计算复杂度限制了大型天线阵的实际实现。为了降低硬件成本,本文建立了部分连接结构下基于最小均方误差(MMSE)的优化模型,并提出了一种基于粒子群蚁群优化(HP-PSACO)的低复杂度混合预编码算法。仿真结果表明,该算法具有较低的计算复杂度,比全数字基带预编码具有更高的能量效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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