Deep reinforcement learning based resource allocation for d2d communications underlay cellular networks

HIGHLIGHTS

• who: Seoyoung Yu and Jeong Woo Lee from the School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, Republic of Korea have published the paper: Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks, in the Journal: Sensors 2022, 22, 9459. of /2022/
• what: In this paper a resource allocation (RA) scheme based on deep reinforcement learning (DRL) is designed for device-to-device (D2D) communications underlay cellular networks. To mitigate the complexity the authors propose a sub-optimal RA scheme based on a multi-agent DRL which operates with shared . . .
  

   

  

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