A CNN-LSTM-Based Fusion Separation Deep Neural Network for 6G Ultra-Massive MIMO Hybrid Beamforming-Reference-Cited by-同舟云学术

A CNN-LSTM-Based Fusion Separation Deep Neural Network for 6G Ultra-Massive MIMO Hybrid Beamforming

Published:2023 Issue: Volume:11 Page:38614-38630
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Murshed Rafid Umayer¹^ORCID,Ashraf Zulqarnain Bin²^ORCID,Hridhon Abu Horaira¹^ORCID,Munasinghe Kumudu²^ORCID,Jamalipour Abbas³^ORCID,Hossain Md. Farhad¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

2. School of IT and Systems, University of Canberra, Canberra, ACT, Australia

3. School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10098778.pdf?arnumber=10098778

Reference60 articles.

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5. Coding the Beams: Improving Beamforming Training in mmWave Communication System

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