多天线用户 FDD 大规模 MIMO 系统的两级波束成形和组合方案

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Wu Zheng, Chen Liu, Yunchao Song, Tianbao Gao
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引用次数: 0

摘要

本文针对多天线用户的频分双工(FDD)大规模多输入多输出(MIMO)系统提出了一种两阶段波束成形和组合方案。具体来说,本文提出的方案是一个两阶段方案,在第一阶段利用信道协方差矩阵(CCM)设计预波束成形矩阵和预合并矩阵。预波束成形矩阵和预合并矩阵的设计问题被表述为一个 0-1 二次整数编程问题。为了解决这个问题,又将其转化为 0-1 混合线性整数编程问题。在第二阶段,采用稀疏码多重接入和多用户预编码与合并来减轻用户间干扰。与以往使用 CCM 的传输方案不同,本方案考虑了多天线用户系统,并使用 CCM 设计了预波束成形矩阵和预合并矩阵,以稀疏化有效信道矩阵,从而减少先导和反馈的开销。此外,稀疏码多重接入还有助于更好地减少用户间干扰。仿真结果验证了所提方案的良好性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Two stage beamforming and combining scheme for FDD massive MIMO systems with multi-antenna users

Two stage beamforming and combining scheme for FDD massive MIMO systems with multi-antenna users

This paper proposes a two-stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems with multi-antenna users. Specifically, the proposed scheme is a two-stage scheme, where the pre-beamforming matrix and pre-combining matrix are designed using the channel covariance matrix (CCM) in the first stage. The problem of the pre-beamforming matrix and pre-combining matrix design are formulated as an 0–1 quadratic integer programming problem. To solve this problem, it is further transformed into an 0–1 mixed linear integer programming problem. In the second stage, the sparse code multiple access and multi-user precoding and combining are adopted to mitigate the inter-user interference. Different from the previous transmission scheme using CCM, the proposed scheme consider the multi-antenna user system, and uses the CCM to design both the pre-beamforming and pre-combining matrices to sparsify the effective channel matrix, such that the overhead of pilot and feedback can be reduced. Moreover, the sparse code multiple access can help to better reduce the inter-user interference. Simulation results validate the good performance of the proposed scheme.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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