Distributed Learning-Based Beamforming Codebooks for Unevenly Distributed Users in mmWave Massive MIMO System-Reference-Cited by-同舟云学术

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Distributed Learning-Based Beamforming Codebooks for Unevenly Distributed Users in mmWave Massive MIMO System

Published:2024-04-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Chen Zhiheng¹,Liu Pei¹,Chen Yun²,Zhan Wen³,Interdonato Giovanni⁴,Buzzi Stefano⁴

Affiliation:

1. School of Information Engineering, Wuhan University of Technology,Wuhan,China,430070

2. Huawei Technologies CO., Ltd.,TDD Algorithm Design Department,Dongguan,China,523830

3. School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,China,518107

4. University of Cassino and Southern Latium,Department of Electrical and Information Engineering,Cassino,Italy,03043

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10571256.pdf?arnumber=10571256

Reference13 articles.

1. Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays

2. DFT-Based Beamforming Weight-Vector Codebook Design for Spatially Correlated Channels in the Unitary Precoding Aided Multiuser Downlink

3. A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies

4. Performance of ZF precoder in downlink massive MIMO with non-uniform user distribution

5. 5G Ultradense Networks With Nonuniform Distributed Users

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