Federated Learning Meets Intelligence Reflection Surface in Drones for Enabling 6G Networks: Challenges and Opportunities-Reference-Cited by-同舟云学术

Federated Learning Meets Intelligence Reflection Surface in Drones for Enabling 6G Networks: Challenges and Opportunities

Published:2023 Issue: Volume:11 Page:130860-130887
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shvetsov Alexey V.¹^ORCID,Alsamhi Saeed Hamood²^ORCID,Hawbani Ammar³^ORCID,Kumar Santosh⁴^ORCID,Srivastava Sumit⁵,Agarwal Sweta⁶,Rajput Navin Singh⁷^ORCID,Alammari Amr A.²^ORCID,Nashwan Farhan M. A.²

Affiliation:

1. Department of Smart Technologies, Moscow Polytechnic University, Moscow, Russia

2. Electrical Engineering Department, Faculty of Engineering, Ibb University, Ibb, Yemen

3. School of Computer Science, Shenyang Aerospace University, Shenyang, China

4. Department of CSE, IIIT Naya Raipur, Raipur, Chhattisgarh, India

5. Department of Electronics and Communication Engineering, FET, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India

6. Department of EC, Invertis University, Bareilly, Uttar Pradesh, India

7. Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University) Varanasi, Varanasi, Uttar Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10274974.pdf?arnumber=10274974

Reference155 articles.

1. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

2. Multi-UAV Deployment for Throughput Maximization in the Presence of Co-Channel Interference

3. Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G

4. Federated Learning in Multi-RIS Aided Systems

5. Reflections in the sky: Joint trajectory and passive beamforming design for secure UAV networks with reconfigurable intelligent surface;long;arXiv 2005 10559,2020

Cited by 16 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. Towards sustainable industry 4.0: A survey on greening IoE in 6G networks;Ad Hoc Networks;2024-12

2. Composite Ensemble Learning Framework for Passive Drone Radio Frequency Fingerprinting in Sixth-Generation Networks;Sensors;2024-08-29

3. The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges;Sustainability;2024-08-16

4. Secure, Robust, and Energy-Efficient Authenticated Data Sharing in Drone to Vehicles Communications;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

5. Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework;Alexandria Engineering Journal;2024-03