Multiceli interference coordination strategy based on hybrid channel information

Jinyi Huang, Liang Sun, Chenyang Yang, Shengqian Han
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Abstract

Inter-cell interference (ICI) limits the throughput of multicell massive MIMO systems. Considering the large-scale array at base stations, high array gain can be obtained by analog beamforming based on statistical channel information. In this paper, we propose an interference coordination strategy based on both statistical and instantaneous channel information to mitigate ICI in multicell massive MIMO systems. We propose an enhanced Joint Spatial Division and Multiplexing (JSDM) precoding to mitigate ICI by cooperative beamforming implemented by the two-stage precoding based on channel covariance matrices and global effective channel state information (CSI). We also present the way to implement the precoding in practical systems without perfect effective CSI. Simulation results show that the proposed precoding can effectively mitigate ICI, thus provide remarkable gain in the downlink throughput and improve the fairness among users over the traditional one.
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基于混合信道信息的多信道干扰协调策略
小区间干扰(ICI)限制了多小区大规模MIMO系统的吞吐量。考虑到基站的大规模阵列,基于统计信道信息的模拟波束形成可以获得较高的阵列增益。在本文中,我们提出了一种基于统计和瞬时信道信息的干扰协调策略来缓解多小区大规模MIMO系统中的干扰干扰。我们提出了一种增强的联合空间分割和复用(JSDM)预编码,通过基于信道协方差矩阵和全局有效信道状态信息(CSI)的两阶段预编码实现协同波束形成来缓解ICI。我们还提出了在没有完善的有效CSI的实际系统中实现预编码的方法。仿真结果表明,与传统的预编码相比,所提出的预编码可以有效地缓解ICI,从而在下行链路吞吐量方面获得显著的增益,并提高用户间的公平性。
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