most citedDeep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications

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eess.SP2024★ 1 cited

Deep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications

Zhengpeng Wang, Yanqun Tang, Yingzhe Mao +2

This letter presents a deep reinforcement learning (DRL) approach for transmission design to optimize the energy efficiency in vehicle-to-vehicle (V2V) communication links. Conside…