A dueling deep recurrent q -network framework for dynamic multichannel access in heterogeneous wireless networks

HIGHLIGHTS

• who: Haitao Chen and colleagues from the College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan, China have published the research: A Dueling Deep Recurrent Q -Network Framework for Dynamic Multichannel Access in Heterogeneous Wireless Networks, in the Journal: Wireless Communications and Mobile Computing of 15/07/2022
• what: Motivated by these considerations, the authors propose a deep reinforcement learning (DRL) framework for dynamic multichannel access in heterogeneous wireless networks. Based on these premises, the first goal of this paper is to investigate a clean-slate design in which the intelligent . . .
  

   

  

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