Machine Learning for 5G/B5G Non-terrestrial Networks

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Machine Learning for 5G/B5G Non-terrestrial Networks


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Machine Learning for 5G/B5G Non-terrestrial Networks

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This presentation will focus on the potential applications of ML for 5G/B5G non-terrestrial networks. The first part will cover the fundamental concepts of basic machine learning algorithms including supervised, unsupervised and reinforcement learning. The second par t will elaborate on the classification of ML applications in the areas including physical layer communication, network planning & routing, positioning, security, resource management, etc. Finally, the presentation will also address the challenges in advancing ML techniques for 5G/B5G non-terrestrial networks and provide future research directors for how ML can contribute to realizing the integration of non-terrestrial components into 5G/B5G.

Machine Learning for 5G/B5G Non-terrestrial Networks

Dr. Paresh Saxena, BITS Pilani, Hyderabad, India

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