跳到主要导航 跳到搜索 跳到主要内容

Adaptive Array Partitioning: A Novel Approach to Capturing Spatial Non-Stationarity in XL-MIMO

  • Shuhang Yang
  • , Puguang An
  • , Peng Yang*
  • , Xianbin Cao
  • , Dapeng Oliver Wu
  • , Tony Q.S. Quek
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the advent of extremely large-scale multipleinput multiple-output (XL-MIMO) systems, wireless channels exhibit challenging characteristics distinct from conventional systems, such as spherical wave effects and spatial non-stationarity (SnS). To mitigate the adverse impact of these characteristics on subsequent communication processes (e.g., channel estimation), this paper extends the near-field channel model for line-of-sight (LoS) XL-MIMO systems to accommodate SnS properties. First, we derive in detail the negative impacts of over-segmentation and under-segmentation under the influence of SnS, emphasizing the importance of precise subarray partitioning. Then, we introduce a power-adaptive subarray segmentation algorithm (PASS). Simulation results validate the accuracy of the proposed algorithm.

源语言英语
主期刊名2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331544447
DOI
出版状态已出版 - 2025
活动2025 IEEE/CIC International Conference on Communications in China, ICCC 2025 - Shanghai, 中国
期限: 10 8月 202513 8月 2025

出版系列

姓名2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025

会议

会议2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
国家/地区中国
Shanghai
时期10/08/2513/08/25

指纹

探究 'Adaptive Array Partitioning: A Novel Approach to Capturing Spatial Non-Stationarity in XL-MIMO' 的科研主题。它们共同构成独一无二的指纹。

引用此