Enabling Ubiquitous Non-Orthogonal Multiple Access and Pervasive Federated Learning via STAR-RIS-Reference-Cited by-同舟云学术

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Enabling Ubiquitous Non-Orthogonal Multiple Access and Pervasive Federated Learning via STAR-RIS

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
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Author:

Ni Wanli¹,Liu Yuanwei²,Eldar Yonina C.³,Yang Zhaohui⁴,Tian Hui¹

Affiliation:

1. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China

2. School of Electronic Engineering and Computer Science, Queen Mary University of London,London,UK

3. Weizmann Institute of Science,Math and CS Faculty,Rehovot,Israel

4. Centre for Telecommunications Research, King's College London,Department of Engineering,London,UK

Funder

Natural Science Foundation of China

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685556.pdf?arnumber=9685556

Reference9 articles.

1. Optimized power control for over-the-air federated edge learning;cao;Proc IEEE ICC,2021

2. One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

3. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

4. Resource Allocation for Multi-Cell IRS-Aided NOMA Networks

5. Over-the-Air Federated Learning From Heterogeneous Data

Cited by 15 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. The Achievable Rate Performance of STAR-RIS Aided Massive MIMO Systems;IEEE Transactions on Communications;2024-06

2. STARRIS with hybrid wind and RF energy harvesting;International Journal of Ad Hoc and Ubiquitous Computing;2024

3. Simultaneously transmitting and reflecting reconfigurable intelligent surfaces with energy harvesting from a water flow;International Journal of Sensor Networks;2024

4. CDMA extension using STARRIS;International Journal of Ad Hoc and Ubiquitous Computing;2024

5. A Survey on Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks;IEEE Open Journal of the Communications Society;2024

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