Resource allocation in downlink vlc-noma systems for factory automation scenario

HIGHLIGHTS

  • who: Won-Jae Ryu et al. from the Gumi, Gyeongbuk, Republic of Korea have published the Article: Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario, in the Journal: Sensors 2021, 22, 9407. of /2021/
  • what: This study proposed a deep neural network (DNN)-based power-allocation algorithm (DBPA) to improve the reliability of the system. In contrast, the proposed DBPA in this study focuses on finding the minimum point of average BER to improve reliability for both users. As the model aims to obtain the minimum average BER by changing the power . . .

     

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