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

Junpeng LIU; Weiwei XIA; Han LIU; Chenglin XIU; Feng YAN; Lianfeng SHEN

doi:10.11959/j.issn.1000-0801.2023148

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

Research and Development | 更新时间：2024-06-05

- NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services
- Telecommunications Science Vol. 39, Issue 7, Pages: 11-22(2023)
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室，江苏南京 210096
  2. 国网山东省电力公司，山东济南 250001
  3. 国网山东省电力公司济南供电公司，山东济南 250012
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023148
  CLC： TN929
- Published Online：2023-07，
  
  Published：20 July 2023
- 稿件说明：
移动端阅览
Junpeng LIU, Weiwei XIA, Han LIU, et al. NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services[J]. Telecommunications science, 2023, 39(7): 11-22.
DOI：

Junpeng LIU, Weiwei XIA, Han LIU, et al. NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services[J]. Telecommunications science, 2023, 39(7): 11-22. DOI： 10.11959/j.issn.1000-0801.2023148.

摘要

为了缓解5G授权频谱资源短缺的问题，使用非授权频谱成为重要的解决方案。随着电力终端的大规模接入，面向电力业务保障的NR-U（NR in unlicensed spectrum）与Wi-Fi频谱共享成为重要的研究热点。首先，提出了一种NR-U上行传输机制，在保障Wi-Fi用户平均速率的同时实现了电力业务终端的数据上行传输。此外，还提出了联合传输时间和子载波分配（joint transmission time and subcarrier allocation，TTSA）的资源优化算法，以保障各类型电网业务的服务质量（quality of service，QoS），并最大化终端的总速率。将该优化问题解耦，使用近端策略优化（proximal policy optimization，PPO）为终端分配子载波。仿真结果表明，与已有算法相比，提出的TTSA资源优化算法在保障电力业务QoS和最大化终端总速率方面性能优越。

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.

关键词

Keywords

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