Resource Allocation of Full-Duplex Vehicular Networks Based on Multi-Agent Deep Reinforcement Learning

Jie Ren; Liang Han

doi:10.1007/978-981-99-7545-7_53

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Resource Allocation of Full-Duplex Vehicular Networks Based on Multi-Agent Deep Reinforcement Learning

Jie Ren Liang Han

Year: 2024 Lecture notes in electrical engineering Pages: 523-532 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-7545-7_53

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Keywords:

Reinforcement learning Computer science Duplex (building) Resource allocation Reinforcement Artificial intelligence Computer network Engineering Chemistry Structural engineering

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Topics

Full-Duplex Wireless Communications

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Cognitive Radio Networks and Spectrum Sensing

Physical Sciences → Computer Science → Computer Networks and Communications

Resource Allocation of Full-Duplex Vehicular Networks Based on Multi-Agent Deep Reinforcement Learning

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