Two-stage deep learning-based hybrid precoder design for very large scale massive MIMO systems-Reference-Cited by-同舟云学术

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Two-stage deep learning-based hybrid precoder design for very large scale massive MIMO systems

Published:2022-10 Issue: Volume:54 Page:101835
ISSN:1874-4907
Container-title:Physical Communication
language:en
Short-container-title:Physical Communication

Author:

P. Jeyakumar^ORCID,Ramesh Arvind^ORCID,S. Srinitha,Nishant V.T.,Gowri P.^ORCID,P. Muthuchidambaranathan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

Reference26 articles.

1. 6G wireless networks: Vision, requirements, architecture, and key technologies;Zhang;IEEE Veh. Technol. Mag.,2019

2. Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond;Rappaport;IEEE Access,2019

3. Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays;Gao;IEEE J. Sel. Areas Commun.,2016

4. Terahertz communications: An array-of-subarrays solution;Lin;IEEE Commun. Mag.,2016

5. Distance-aware bandwidth-adaptive resource allocation for wireless systems in the terahertz band;Han;IEEE Trans. Terahertz Sci. Technol.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Framework for Spectral Efficient Intelligent Hybrid Beamforming;2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON);2023-05-01

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