Sparsity-Based Channel Estimation Exploiting Deep Unrolling for Downlink Massive MIMO-Reference-Cited by-同舟云学术

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Sparsity-Based Channel Estimation Exploiting Deep Unrolling for Downlink Massive MIMO

Published:2023-12-04 Issue: Volume: Page:1507-1512
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Chen An¹,Xu Wenbo¹,Lu Liyang²,Wang Yue³

Affiliation:

1. Beijing University of Posts and Telecommunications,Key laboratory of Universal Wireless Communications,Beijing,P. R. China,100876

2. Tsinghua University,Department of Electronic Engineering,Beijing,China,100084

3. Georgia State University,Department of Computer Science,Atlanta,GA,USA,30303

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437911.pdf?arnumber=10437911

Reference21 articles.

1. Enabling Technologies for Spectrum and Energy Efficient NOMA-MmWave-MaMIMO Systems

2. Covariance-Aided CSI Acquisition With Non-Orthogonal Pilots in Massive MIMO: A Large-System Performance Analysis

3. Deep Learning Based Channel Estimation Algorithm for Fast Time-Varying MIMO-OFDM Systems

4. Impact of Pilot Overhead and Channel Estimation on the Performance of Massive MIMO

5. Compressive Sensing With Prior Support Quality Information and Application to Massive MIMO Channel Estimation With Temporal Correlation

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