Joint resource allocation for emotional 5G IoT systems using deep reinforcement learning

Ziyan Yang; Haibo Mei; Wenyong Wang; Dongdai Zhou; Kun Yang

doi:10.1007/s13042-021-01398-2

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Joint resource allocation for emotional 5G IoT systems using deep reinforcement learning

Ziyan Yang Haibo Mei Wenyong Wang Dongdai Zhou Kun Yang

Year: 2021 Journal: International Journal of Machine Learning and Cybernetics Vol: 12 (12)Pages: 3517-3528 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-021-01398-2

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Keywords:

Computer science Mobile edge computing Computational intelligence Edge computing Energy consumption Server Computation Resource allocation Wireless Reinforcement learning Enhanced Data Rates for GSM Evolution Efficient energy use Benchmarking Distributed computing Computation offloading Joint (building) Artificial intelligence Computer network Algorithm Telecommunications

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Energy Harvesting in Wireless Networks

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Joint resource allocation for emotional 5G IoT systems using deep reinforcement learning

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