DPSS-Based Codebook Design for Near-Field XL-MIMO Channel Estimation

Shicong Liu*, Xianghao Yu*, Zhen Gao, Derrick Wing Kwan Ng

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of the near-field region. While accurate channel estimation is essential for beamforming and data detection, the unique characteristics of near-field channels pose additional challenges to the effective acquisition of channel state information. In this paper, we propose a novel codebook design, which allows efficient near-field channel estimation with significantly reduced codebook size. Specifically, we consider the eigen-problem based on the near-field electromagnetic wave transmission model. Moreover, we derive the general form of the eigenvectors associated with the near-field channel matrix, revealing their noteworthy connection to the discrete prolate spheroidal sequence (DPSS). Based on the proposed near-field codebook design, we further introduce a two-step channel estimation scheme. Simulation results demonstrate that the proposed codebook design not only achieves superior sparsification performance of near-field channels with a lower leakage effect, but also significantly improves the accuracy in compressive sensing channel estimation.

Original languageEnglish
Title of host publicationICC 2024 - IEEE International Conference on Communications
EditorsMatthew Valenti, David Reed, Melissa Torres
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3864-3870
Number of pages7
ISBN (Electronic)9781728190549
DOIs
Publication statusPublished - 2024
Event59th Annual IEEE International Conference on Communications, ICC 2024 - Denver, United States
Duration: 9 Jun 202413 Jun 2024

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference59th Annual IEEE International Conference on Communications, ICC 2024
Country/TerritoryUnited States
CityDenver
Period9/06/2413/06/24

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