Machine Learning in Communication Systems and Networks

Author:

Sun Yichuang1ORCID,Lee Haeyoung1ORCID,Simpson Oluyomi1ORCID

Affiliation:

1. School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK

Abstract

The landscape of communication environments is undergoing a revolutionary transformation, driven by the relentless evolution of technology and the growing demands of an interconnected world [...]

Publisher

MDPI AG

Reference10 articles.

1. (2020). 5G PPP Technology Board and 5G IA Verticals Task Force. Empowering Vertical Industries through 5G Networks—Current Status and Future Trends. White Paper, 1–108.

2. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds;Wang;IEEE Commun. Surv. Tutor.,2023

3. 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities;Liu;Proc. IEEE,2022

4. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions;Lee;IEEE Access,2019

5. Machine Learning in the Air;Sidiropoulos;IEEE J. Sel. Areas Commun.,2019

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