Machine Learning in Machine-Type Communication
Автор: 6G Flagship
Загружено: 2024-01-08
Просмотров: 526
Описание:
In this enlightening presentation, Mohammad Shehab, a postdoctoral researcher, discusses the applications and implications of machine learning in Machine-Type Communication (MTC).
Key Topics Covered:
⁃ Role of machine learning in MTC
⁃ Applications of meta-learning in non-orthogonal multiple access
⁃ Clustering and deep reinforcement learning in UAV trajectory planning
⁃ Comparison of reinforcement learning algorithms
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Chapters:
[00:00:00] Introduction
[00:00:53] Machine Learning and MTC Traffic Management
[00:01:15] Machine Learning for UAV Trajectory Planning
[00:06:21] Time Prediction and Traffic Prediction
[00:10:21] Results & Comparisons
[00:14:11] UAV Swarm Applications
[00:15:22] Concluding Remarks
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