Channel Correlation Cancelation-Based Hybrid Beamforming for Massive Multiuser MIMO Systems

Xinbo Wang, Li Guo, Chao Dong, Xidong Mu
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引用次数: 1

Abstract

In millimeter-wave (mmWave) communication systems, hybrid beamforming is regarded as an effective way to increase the spectral efficiency of the massive multiple-input multiple-output (MIMO) system. Assuming perfect channel state information (CSI) is known at the transmitter, we focus on a downlink massive multi-user MIMO system which supports multi-stream per user. In the above scenario, we investigate the hybrid beamforming problem with strong correlation between users’ channels, where the existing schemes have performance loss. To tackle this problem, this paper proposes the channel correlation cancelation-based hybrid beamforming (CCCHB) algorithm which considers the correlation between channels and decomposes the optimization of overall spectrum efficiency of the users to a series of sub-rate optimization problems. And the block diagonalization (BD) technique is used in the equivalent channel to eliminate inter-user interference. Simulation results illustrate that the performance of the proposed scheme outperforms the existing algorithm, especially significant when there exists high correlation between users’ channels.
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基于信道相关抵消的大规模多用户MIMO系统混合波束形成
在毫米波通信系统中,混合波束形成被认为是提高大规模多输入多输出(MIMO)系统频谱效率的有效途径。假设在发送端完全信道状态信息(CSI)是已知的,我们重点研究了支持每用户多流的下行海量多用户MIMO系统。在上述情况下,我们研究了用户信道之间具有强相关性的混合波束形成问题,其中现有方案存在性能损失。针对这一问题,本文提出了基于信道相关抵消的混合波束形成(CCCHB)算法,该算法考虑信道间的相关性,将用户整体频谱效率的优化分解为一系列子速率优化问题。在等效信道中采用块对角化(BD)技术消除用户间干扰。仿真结果表明,该方案的性能优于现有算法,特别是在用户信道高度相关的情况下。
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