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首页> 外文期刊>IEEE systems journal >Hybrid Precoding Design for Adaptive Subconnected Structures in Millimeter-Wave MIMO Systems
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Hybrid Precoding Design for Adaptive Subconnected Structures in Millimeter-Wave MIMO Systems

机译：毫米波MIMO系统中自适应子连接结构的混合预编码设计。

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摘要

Hybrid precoding design for an adaptive sub-connected structure offers a compromise between hardware complexity and spectral efficiency in massive multiple-input multiple-output (MIMO) systems at millimeter-wave (mmWave) frequencies. This paper focuses on the impacts of the partial antenna connections on the achievable sum-rate (ASR) performance for the uniform linear array and uniform square planar array configurations in mmWave networks. The subarray architectures consist of the overlapped, interlaced, and dynamically selective subset schemes in mmWave MIMO systems. Notably, on the basis of the ASR maximization, the Gram-Schmidt (GS)-based antenna selection (AS) algorithm is used to acquire an appropriate antenna subset and magnificently simplifies the radio frequency chain-antenna mapping operation in the sequel. Finally, simulation results demonstrate that an adaptive subarray architecture in conjunction with the GS-basedAS search strategy is able to accomplish the ASR performance approaching the fully connected architecture with an alleviated demand on both computation and hardware complexities.
机译：自适应子连接结构的混合预编码设计在毫米波（mmWave）频率的大规模多输入多输出（MIMO）系统中，在硬件复杂度和频谱效率之间提供了折衷方案。本文重点讨论毫米波网络中均匀线性阵列和均匀正方形平面阵列配置的部分天线连接对可实现的总速率（ASR）性能的影响。子阵列架构由mmWave MIMO系统中的重叠，交错和动态选择性子集方案组成。值得注意的是，基于ASR最大化，基于Gram-Schmidt（GS）的天线选择（AS）算法用于获取适当的天线子集，并极大地简化了续集中的射频链-天线映射操作。最后，仿真结果表明，自适应子阵列架构与基于GS的AS搜索策略相结合，能够实现接近全连接架构的ASR性能，同时减轻了对计算和硬件复杂性的需求。

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