A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G

IEEE Transactions on Cognitive Communications and Networking(2020)

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摘要
A 5G network is the key driving factor in the development of vehicle-to-vehicle (V2V) communication technology, and V2V communication in 5G has recently attracted great interest. In the V2V communication network, users can choose different transmission modes and power levels for communication, to guarantee their quality-of-service (QoS), high capacity of vehicle-to-infrastructure (V2I) links and u...
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关键词
Communication networks,5G mobile communication,Reliability,Quality of service,Resource management,Delays,Reinforcement learning
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