Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces-Reference-Cited by-同舟云学术

Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces

Author:

Alexandropoulos George C.¹^ORCID,Stylianopoulos Kyriakos¹^ORCID,Huang Chongwen²^ORCID,Yuen Chau³^ORCID,Bennis Mehdi⁴^ORCID,Debbah Merouane⁵

Affiliation:

1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

3. Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design, Tampines, Singapore

4. Centre for Wireless Communications, University of Oulu, Oulu, Finland

5. Technology Innovation Institute, Abu Dhabi, United Arab Emirates

Funder

EU H2020 RISE-6G Project

China National Key Research and Development Program

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Fund for Excellent Young Scientists Fund Program

Ng Teng Fong Charitable Foundation in the form of ZJU-SUTD IDEA Grant

Zhejiang University Education Foundation Qizhen Scholar Foundation

Fundamental Research Funds for the Central Universities

Singapore Ministry of Education Tier 2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference183 articles.

1. Multi-IRS-assisted multi-cell uplink MIMO communications under imperfect CSI: A deep reinforcement learning approach;kim;arXiv 2011 01141,2020

3. Reconfigurable intelligent surface enabled vehicular communication: Joint user scheduling and passive beamforming;al-hilo;arXiv 2101 12247,2021

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