Extremely Large-scale MIMO Channel Estimation for 6G Networks: Progress and ChallengesChinese Full TextEnglish Full Text (MT)
PU Xumin;ZHANG Qingyu;WANG Kehao;LIU Yinlan;School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications;
Abstract: Extremely large-scale multiple-input multiple-output(XL-MIMO),as one of the key candidate technologies for future 6G,dramatically improves the spectral efficiency of wireless communication and sensing by equipping hundreds or even thousands of antenna array elements.To realize the full potential of XL-MIMO techniques, accurate channel state information(CSI) is essential, which makes channel estimation a central topic in the field.The authors describe the near-field property and spatial non-stati... More
Keywords:
extremely large-scale multiple-input multiple-output(XL-MIMO); channel estimation; compressed sensing; deep learning; parameter estimation;
- DOI:
10.20079/j.issn.1001-893x.240722002
- Series:
(I) Electronic Technology & Information Science
- Subject:
Telecom Technology
- Classification Code:
TN929.5
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