基于时移导频和数据辅助信道估计的大规模MIMO导频去污

Dang‐An Nguyen, Anh-Tuan Nguyen, Huy-Dung Han, V. Nguyen, M. Zia
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引用次数: 1

摘要

本文主要研究多单元大规模多输入多输出(MIMO)系统中的导频污染问题。通常,跨用户和小区的正交导频会导致带宽效率低下。我们提出了一种上行传输协议设计,其中用户的导频部分与来自其他小区的数据重叠,甚至部分重叠跨小区。采用半盲算法将数据流从用户设备中分离出来。利用所提出的协议和半盲算法,大大减少了导频污染。仿真结果表明,在采用恒模算法的半盲算法的帮助下,系统性能优于现有方案。
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Pilot Decontamination using Time-shifted Pilot and Data-aided Channel Estimation for Massive MIMO
In this paper, we focus on pilot contamination problem in multi-cell massive multi-input multi-output (MIMO) systems. In general, orthogonal pilot across users and cells leads to bandwidth inefficiency. We propose an uplink transmission protocol design in which the pilot portions of users overlap with data from other cells and even partially overlap across cells. Semi-blind algorithms are applied to separate the data streams from user equipments (UEs). With the proposed protocol and semi-blind algorithms, the pilot contamination is greatly reduced. The simulation results show that with the help of semi-blind algorithm employing Constant Modulus Algorithm, the system performance is superior compared to that of the existing schemes.
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