A Resource Allocation Method in Multi-access Edge Computing Environment Based on Deep Reinforcement Learning

Huilin Li; Hiroshi Nakamura; Hideki Takase

doi:10.1109/mcsoc64144.2024.00052

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JOURNAL ARTICLE

A Resource Allocation Method in Multi-access Edge Computing Environment Based on Deep Reinforcement Learning

Huilin Li Hiroshi Nakamura Hideki Takase

Year: 2024 Pages: 269-275

DOI: 10.1109/mcsoc64144.2024.00052

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Keywords:

Reinforcement learning Computer science Resource allocation Enhanced Data Rates for GSM Evolution Distributed computing Edge computing Resource management (computing) Edge device Resource (disambiguation) Artificial intelligence Computer network Operating system Cloud computing

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A Resource Allocation Method in Multi-access Edge Computing Environment Based on Deep Reinforcement Learning

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