Unsupervised Deep-Learning-Based Reconfigurable Intelligent Surface-Aided Broadcasting Communications in Industrial IoTs-Reference-Cited by-同舟云学术

Unsupervised Deep-Learning-Based Reconfigurable Intelligent Surface-Aided Broadcasting Communications in Industrial IoTs

Author:

Dinh-Van Son¹^ORCID,Hoang Tiep M.²^ORCID,Trestian Ramona³^ORCID,Nguyen Huan X.³^ORCID

Affiliation:

1. Warwick Manufacturing Group, School of Engineering, University of Warwick, Coventry, U.K

2. School of Electronics and Computer Science, University of Southampton, Southampton, U.K

3. London Digital Twin Research Center, Middlesex University, London, U.K

Funder

U.K. Department for Business, Energy and Industrial Strategy

U.K. Department for Education

Indian Department of Science and Technology (DST) through the U.K.-India Education and Research Initiative

Collaborative Fund from Van Lang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference34 articles.

1. Channel estimation with reconfigurable intelligent surfaces—A general framework;swindlehurst;arXiv 2110 00553,2021

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