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Article

From Theory to Practice: Implementing Meta-Learning in 6G Wireless Infrastructure

by
Arooba Zeshan
1,*,
Messaoud Ahmed Ouameur
2,
Muhammad Zeshan Alam
3 and
Tuan-Anh D. Le
4
1
Department of Applied Computer Science, University of Winnipeg, Winnipeg, MB R3B 2E9, Canada
2
Department of Electrical Engineering, University of Quebec at Trois-Rivieres, Trois-Rivieres, QC G8Z 4M3, Canada
3
Department of Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada
4
Department of Computer Science, Ho Chi Minh City University of Science, Ho Chi Minh 70000, Vietnam
*
Author to whom correspondence should be addressed.
Telecom 2024, 5(4), 1263-1285; https://doi.org/10.3390/telecom5040063
Submission received: 9 September 2024 / Revised: 25 October 2024 / Accepted: 15 November 2024 / Published: 6 December 2024
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Abstract

The vision of the sixth generation of communication systems, commonly known as 6G, entails a connected world that provides ubiquitous connectivity and fosters the digital transformation of society. As the number of devices, services, and users continues to grow, intelligent solutions are expected to facilitate this transformation. This paper considers meta-learning as a pivotal paradigm for 6G systems, detailing its principles, algorithms, and theoretical underpinnings. The methodology involves integrating meta-learning with three potential 6G technologies: RF-based communication systems, optical communication systems, and molecular communication systems. The findings reveal the distinct characteristics of these technologies and demonstrate the potential benefits and challenges of incorporating meta-learning algorithms. Practical implications highlight how meta-learning can enhance the efficiency and adaptability of 6G systems, addressing the growing demand for intelligent and seamless communication networks.
Keywords: wireless communication systems; optical wireless systems; meta-learning wireless communication systems; optical wireless systems; meta-learning

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MDPI and ACS Style

Zeshan, A.; Ouameur, M.A.; Alam, M.Z.; Le, T.-A.D. From Theory to Practice: Implementing Meta-Learning in 6G Wireless Infrastructure. Telecom 2024, 5, 1263-1285. https://doi.org/10.3390/telecom5040063

AMA Style

Zeshan A, Ouameur MA, Alam MZ, Le T-AD. From Theory to Practice: Implementing Meta-Learning in 6G Wireless Infrastructure. Telecom. 2024; 5(4):1263-1285. https://doi.org/10.3390/telecom5040063

Chicago/Turabian Style

Zeshan, Arooba, Messaoud Ahmed Ouameur, Muhammad Zeshan Alam, and Tuan-Anh D. Le. 2024. "From Theory to Practice: Implementing Meta-Learning in 6G Wireless Infrastructure" Telecom 5, no. 4: 1263-1285. https://doi.org/10.3390/telecom5040063

APA Style

Zeshan, A., Ouameur, M. A., Alam, M. Z., & Le, T.-A. D. (2024). From Theory to Practice: Implementing Meta-Learning in 6G Wireless Infrastructure. Telecom, 5(4), 1263-1285. https://doi.org/10.3390/telecom5040063

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