Telecommunications Science ›› 2023, Vol. 39 ›› Issue (7): 11-22.doi: 10.11959/j.issn.1000-0801.2023148

• Research and Development • Previous Articles     Next Articles

NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services

Junpeng LIU1, Weiwei XIA1, Han LIU2, Chenglin XIU3, Feng YAN1, Lianfeng SHEN1   

  1. 1 National Mobile Communication Research Laboratory of Southeast University, Nanjing 210096, China
    2 State Grid Shandong Electric Power Company, Jinan 250001, China
    3 Jinan Power Supply Company, State Grid Shandong Electronic Power Company, Jinan 250012, China
  • Revised:2023-07-06 Online:2023-07-20 Published:2023-07-01
  • Supported by:
    The Science and Technology Project of State Grid Corporation of China(520601220022)

Abstract:

To alleviate the shortage of 5G licensed spectrum resources, using unlicensed spectrum has become an important solution.With the large-scale access of power terminals, NR-U and Wi-Fi spectrum sharing for power services quality guaranteeing has become an important research hotspot.Firstly, an NR-U uplink transmission mechanism was proposed, which ensured the average throughput of Wi-Fi users and realized the data uplink transmission of power service terminals.In addition, a resource optimization algorithm for joint transmission time and subcarrier allocation (TTSA) was proposed to ensure the quality of service (QoS) of various types of power services and maximize the total throughput of terminals.The optimization problem was decoupled, and proximal policy optimization (PPO) was used to allocate subcarriers to terminals.The simulation results show that compared with the existing algorithms, the proposed resource optimization algorithm for TTSA has superior performance in guaranteeing the service quality of power services and maximizing the total terminals throughput.

Key words: unlicensed spectrum, NR-U, deep reinforcement learning, spectrum sharing

CLC Number: 

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