Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution Using Radar-Aided Dynamic Blockage Recognition-Reference-Cited by-同舟云学术

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution Using Radar-Aided Dynamic Blockage Recognition

Published:2024-10 Issue:10 Volume:23 Page:10146-10160
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Al-Quraan Mohammad¹^ORCID,Zoha Ahmed¹^ORCID,Centeno Anthony¹^ORCID,Salameh Haythem Bany²^ORCID,Muhaidat Sami³^ORCID,Imran Muhammad Ali¹^ORCID,Mohjazi Lina¹^ORCID

Affiliation:

1. James Watt School of Engineering, University of Glasgow, Glasgow, U.K.

2. Networks, Communication Engineering Department, Al Ain University, Al Ain, UAE

3. KU 6G Research Center, Department of Computer Communication Engineering, Khalifa University, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7755/10663873/10460129.pdf?arnumber=10460129

Reference32 articles.

1. Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

2. Multi-Connectivity as an Enabler for Reliable Low Latency Communications—An Overview

3. Machine learning empowered beam management for intelligent reflecting surface assisted MmWave networks

4. Handover Prediction Based on Geometry Method in mmWave Communications - A Sensing Approach

5. Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks

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