Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks-Reference-Cited by-同舟云学术

Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks

Published:2022-11 Issue:11 Volume:21 Page:9610-9626
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Yang Bo¹^ORCID,Cao Xuelin²,Huang Chongwen³^ORCID,Yuen Chau⁴^ORCID,Di Renzo Marco⁵^ORCID,Guan Yong Liang⁶^ORCID,Niyato Dusit⁷^ORCID,Qian Lijun⁸^ORCID,Debbah Merouane⁹

Affiliation:

1. Computer Science, Northwestern Polytechnical University, Xi’an, China

2. School of Cyber Engineering, Xidian University, Xi’an, China

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

4. Engineering Product Development Pillar, Singapore University of Technology and Design, Tampines, Singapore

5. CNRS, Centrale-Supélec, Laboratoire des Signaux et Systèmes, Université Paris-Saclay, Gif-sur-Yvette, France

6. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

7. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

8. Department of Electrical and Computer Engineering, and the CREDIT Center, Prairie View A&M University, Prairie View, TX, USA

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

Funder

Singapore Ministry of Education Tier 2

Agency for Science, Technology and Research

Advanced Manufacturing and Engineering (AME) Industry Alignment Fund—Pre Positioning

National Research Foundation, Singapore, through the AI Singapore Program

Singapore Ministry of Education (MOE) Tier 1

National Natural Science Fund for Excellent Young Scientists Fund Program

China National Key Research and Development Program

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Zhejiang University Education Foundation Qizhen Scholar Foundation

Fundamental Research Funds for the Central Universities

U.S. National Science Foundation

European Commission through the H2020 ARIADNE Project

H2020 RISE-6G

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/9944944/9791276-aam.pdf

Reference59 articles.

1. Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations

2. Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces

3. AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Networks: Challenges and Opportunities

4. Massive Access of Static and Mobile Users via Reconfigurable Intelligent Surfaces: Protocol Design and Performance Analysis

5. Adaptive Federated Learning in Resource Constrained Edge Computing Systems

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