A power allocation scheme for mimo-noma and d2d vehicular edge computing based on decentralized drl

HIGHLIGHTS

• who: Dunxing Long and collaborators from the School of Internet of Things Engineering, Jiangnan University, Wuxi, China have published the research work: A Power Allocation Scheme for MIMO-NOMA and D2D Vehicular Edge Computing Based on Decentralized DRL, in the Journal: Sensors 2023, 23, 3449. of /2023/
• what: To solve this problem the authors propose a power allocation scheme based on decentralized deep reinforcement learning (DRL). The authors propose a power allocation model in VEC based on the decentralized DRL, defining the action function, state function, and reward function. The authors aim to minimize power . . .
  

   

  

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