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Machine Learning-Enabled 5G and 6G Networks: Methods, Challenges, and Opportunities
Muhammad Owais
,
Thokozani Shongwe
Electrical and Electronic Engineering Technology
University of Johannesburg
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Dive into the research topics of 'Machine Learning-Enabled 5G and 6G Networks: Methods, Challenges, and Opportunities'. Together they form a unique fingerprint.
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Computer Science
Machine Learning
100%
Learning System
100%
6G
100%
Internet-Of-Things
33%
Wireless Network
33%
Virtual Reality
16%
Wireless Communication
16%
Reinforcement Learning
16%
Autonomous Vehicles
16%
Machine Learning Technique
16%
Supervised Learning
16%
Unsupervised Learning
16%
Cellular Network
16%
Learning Approach
16%
Telecommunication
16%
Smart Home System
16%
Keyphrases
6G Wireless Communications
33%
Fifth Generation 5G
33%
Device Network
33%
Supervised Reinforcement Learning
33%
Telecommunication Technologies
33%
Sixth Generation (6G) Networks
33%
Supervised/unsupervised Learning
33%
Virtual Reality Devices
33%
Data Speed
33%
Low Latency
33%