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DFT Based Beam-Time Delay Sparse Channel Representation for Channel State Information (CSI) Compression in 5G FDD Massive MIMO Systems

机译:基于DFT的光束时间延迟稀疏信道表示,用于5G FDD大型MIMO系统中的通道状态信息(CSI)压缩

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Massive MIMO is currently a very hot topic for mobile R&D industry due to its large capabilities of high throughput and enhanced coverage for multiple users simultaneously. In the following article a proposal for dealing with the Channel State Information (CSI) overhead for FDD MIMO systems is presented. The idea consists of using a Multidimensional Discrete Fourier Transform (DFT) compression, which exploits the frequency and spatial correlations in order to provide a fully sparse Beam-Time Delay Channel Representation. The proposed idea provides high scalability in a long range of channel compression regimes while presents low computational complexity. Simulation results are presented showing the feasibility of implementation for Full dimensional massive MIMO systems.
机译:巨型MIMO目前是移动研发业的热门话题,由于其高吞吐量的大功能和同时对多个用户的覆盖范围增强。在下文中,提出了处理FDD MIMO系统的通道状态信息(CSI)开销的提案。该想法包括使用多维离散傅里叶变换(DFT)压缩,该变换利用频率和空间相关性以提供完全稀疏的波束时间延迟信道表示。所提出的想法在很长的通道压缩制度中提供了高可扩展性,同时呈现低计算复杂性。提出了仿真结果,显示了全维大型MIMO系统实现的可行性。

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