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Distributed Near-Field Channel Estimation for TDD/FDD XL-MIMO Systems

  • Ruirui Sun*
  • , Zhizheng Lu
  • , Yu Han
  • , Shi Jin
  • , Fu Chun Zheng
  • *Corresponding author for this work
  • Southeast University, Nanjing
  • Harbin Institute of Technology Shenzhen

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

Abstract

Extra large-scale multiple input multiple output (XL-MIMO) can meet the high spectral efficiency requirement of 6 G, but also faces the challenge caused by the increase in computational complexity. The non-negligible near-field effect of XL-MIMO channel makes the traditional channel estimation algorithm no longer applicable. In order to reduce the complexity and reconstruct XL-MIMO channel, this paper proposes a distributed near-field channel estimation algorithm. The preliminary channel estimation is performed in the local processing unit (LPU) and then the path selection is performed in the central processing unit (CPU). Afterwards, a downlink channel reconstruction scheme for frequency division duplexin (FDD) system based on sub-array architecture is proposed. Results show that the subarray architecture can reduce the complexity and ensure the accuracy of XL-MIMO channel reconstruction.

Original languageEnglish
Title of host publication2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages792-796
Number of pages5
ISBN (Electronic)9798350378412
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 - Hangzhou, China
Duration: 7 Aug 20249 Aug 2024

Publication series

Name2024 IEEE/CIC International Conference on Communications in China, ICCC 2024

Conference

Conference2024 IEEE/CIC International Conference on Communications in China, ICCC 2024
Country/TerritoryChina
CityHangzhou
Period7/08/249/08/24

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