Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications

Liang Guo; Jie Jia; Jian Chen; An Du; Xingwei Wang

doi:10.1007/s00521-023-08745-0

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Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications

Liang Guo Jie Jia Jian Chen An Du Xingwei Wang

Year: 2023 Journal: Neural Computing and Applications Vol: 35 (25)Pages: 18231-18249 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-023-08745-0

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Keywords:

Reinforcement learning Computer science Mathematical optimization Resource allocation Markov decision process Selection (genetic algorithm) Optimization problem Q-learning Channel (broadcasting) Mode (computer interface) Distributed computing Artificial intelligence Algorithm Markov process Computer network Mathematics

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Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

IoT Networks and Protocols

Physical Sciences → Engineering → Electrical and Electronic Engineering

Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications

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