Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems

被引:0
|
作者
Lee, Hong-Jae [1 ]
Kwun, Dohyun [1 ]
Yoon, Sung Whan [1 ,2 ]
Chung, Jin-Ho [3 ]
Ahn, Seok-Ki [4 ]
机构
[1] Ulsan Natl Inst Sci & Technol UNIST, Dept Elect Engn, Ulsan 44919, South Korea
[2] UNIST, Grad Sch Artificial Intelligence, Ulsan 44919, South Korea
[3] Univ Ulsan, Dept Elect Elect & Comp Engn, Ulsan 44610, South Korea
[4] Elect & Telecommun Res Inst ETRI, Media & Broadcasting Res Grp, Daejeon 44610, South Korea
基金
新加坡国家研究基金会;
关键词
Channel estimation; Massive MIMO; Multi-user MIMO; Non-orthogonal sequences; Pilot contamination; ASSIGNMENT;
D O I
10.1016/j.phycom.2023.102169
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In modern wireless communication systems, orthogonal pilot signals has been generally employed in estimation of the channel state information. However, orthogonal pilot signals are inadequate for supporting the rapidly increasing requirements of communication throughput for 5G-and-beyond wireless environments, owing to the pilot contamination and short coherence times in high-mobility situations. To address these concerns, we present a new strategy for making use of non-orthogonal pilot sequences in channel estimation for multi-cell massive multiple-input multiple-output systems. First, we extend prior pilot assignment strategies based on the orthogonality of pilots to the general case of non-orthogonal pilot signals. Based on the proposed non-orthogonal pilot assignment strategy, we establish the minimal pilot length that fulfills a requirement for the channel estimate error, under a given degree of non-orthogonality. Then, we demonstrate validity of the pilot assignment strategy with the minimal length, which maximizes the entire network throughput. Simulation results show that our proposed method gives a significantly enhanced performance in terms of the net throughput compared to that with orthogonal pilot sequences. The performance gain becomes particularly significant with a higher density of users or shorter coherence time intervals.(c) 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数:8
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