UAV-D2D Assisted Latency Minimization and Load Balancing in Mobile Edge Computing with Deep Reinforcement Learning

Qinglin Song; Long Qu

doi:10.1007/978-981-99-9896-8_8

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UAV-D2D Assisted Latency Minimization and Load Balancing in Mobile Edge Computing with Deep Reinforcement Learning

Qinglin Song Long Qu

Year: 2024 Lecture notes in computer science Pages: 108-122 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9896-8_8

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Keywords:

Computer science Reinforcement learning Mobile edge computing Latency (audio) Minification Load balancing (electrical power) Distributed computing Edge computing Artificial intelligence Enhanced Data Rates for GSM Evolution Real-time computing Telecommunications World Wide Web

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

UAV-D2D Assisted Latency Minimization and Load Balancing in Mobile Edge Computing with Deep Reinforcement Learning

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