Pilot contamination reduction in TDD-based massive MIMO systems
Pilot contamination reduction in TDD-based massive MIMO systems
复制标题
基于 TDD 的大规模 MIMO 系统中的导频污染减少
DOI：
10.1049/iet-com.2018.5557
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发表时间：
2019-06
影响因子：
1.6
通讯作者：
Zhang Qingmiao
中科院分区：
文献类型：
--
作者：
Zhao Junhui;Ni Shanjin;Gong Yi;Zhang Qingmiao
在基于时分复用（TDD）的大规模多输入多输出（MIMO）系统中，导频污染严重阻碍了信道估计，成为影响系统整体性能的主要瓶颈。研究了多小区TDD大规模MIMO系统中的导频污染问题，给出了最小均方误差信道估计算法的归一化均方误差（NMSE）解析表达式。基于所得到的NMSE，本研究提出了一种最优的导频分配策略，以尽量减少导频污染的影响。为了进一步提高系统性能，提出了一种基于导频设计的信道估计方案，利用具有良好自相关特性的Chu序列设计最优导频序列，以获得准确的信道状态信息。仿真结果表明，该导频分配策略的性能优于随机导频分配方法，接近于计算复杂度较高的穷举搜索方法。此外，基于导频设计的信道估计方案的性能增益在大规模MIMO系统中进行了验证。
Channel estimation in time division duplexing (TDD)-based massive multiple-input multiple-output (MIMO) systems is heavily hampered by the pilot contamination, which constitutes a major bottleneck on the overall system performance. This study considers the pilot contamination problem in multi-cell TDD-based massive MIMO systems, and analytical expressions are presented on the normalised mean square error (NMSE) of the minimum mean square error channel estimation algorithm. Based on the obtained NMSE, this study proposes an optimal pilot assignment strategy to minimise the effect of pilot contamination. In order to further improve the system performance, a pilot design-based channel estimation scheme is proposed, where Chu sequences with perfect auto-correlation property are employed to design the optimal pilot sequences aiming at acquiring the accurate channel state information. Simulation results show that the proposed pilot assignment strategy outperforms the random pilot assignment method, and approaches to the performance of the exhaustive search method which requires high computational complexity. Moreover, the performance gain of the pilot design-based channel estimation scheme is verified in massive MIMO systems.
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影响因子：
1.9
作者：
M. Biguesh;A. Gershman
通讯作者：
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影响因子：
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作者：
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DOI：
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发表时间：
2007-03
期刊：
IEEE Communications Letters
影响因子：
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作者：
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通讯作者：
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影响因子：
3.9
作者：
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通讯作者：
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影响因子：
6.8
作者：
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通讯作者：
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