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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
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331544447
DOIs
StatePublished - 2025
Event2025 IEEE/CIC International Conference on Communications in China, ICCC 2025 - Shanghai, China
Duration: 10 Aug 202513 Aug 2025

Publication series

Name2025 IEEE/CIC International Conference on Communications in China:Shaping the Future of Integrated Connectivity, ICCC 2025

Conference

Conference2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Country/TerritoryChina
CityShanghai
Period10/08/2513/08/25

Keywords

  • Spatial non-stationarity
  • XL-MIMO
  • subarray segmentation

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