面向电力业务质量保障的NR-U与Wi-Fi频谱共享

doi:10.11959/j.issn.1000-0801.2023148

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

面向电力业务质量保障的NR-U与Wi-Fi频谱共享

刘峻朋¹, 夏玮玮¹, 刘晗², 修成林³, 燕锋¹, 沈连丰¹

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

修回日期:2023-07-06 出版日期:2023-07-20 发布日期:2023-07-01
作者简介:刘峻朋（1998- ），男，东南大学移动通信国家重点实验室硕士生，主要研究方向为动态频谱共享等
夏玮玮（1975- ），女，博士，东南大学移动通信国家重点实验室副研究员，主要研究方向为无线网络资源管理、边缘计算、泛在网络与短距离无线通信等
刘晗（1979- ），男，国网山东省电力公司高级工程师，主要研究方向为电力通信、5G技术研究与应用等
修成林（1986- ），男，国网山东省电力公司济南供电公司高级工程师，主要研究方向为电力通信、5G技术研究与应用等
燕锋（1983- ），男，博士，东南大学移动通信国家重点实验室副研究员，主要研究方向为无线传感器网络、异构网络、无人机网络、自组织网络等
沈连丰（1952–），男，东南大学移动通信国家重点实验室教授、博士生导师，主要研究方向为宽带移动通信、短距离无线通信和泛在网络等
基金资助:
国家电网有限公司科技项目(520601220022)

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 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)

摘要/Abstract

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。

关键词: 非授权频谱, NR-U, 深度强化学习, 频谱共享

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

中图分类号:

TN929

刘峻朋, 夏玮玮, 刘晗, 修成林, 燕锋, 沈连丰. 面向电力业务质量保障的NR-U与Wi-Fi频谱共享[J]. 电信科学, 2023, 39(7): 11-22.

Junpeng LIU, Weiwei XIA, Han LIU, Chenglin XIU, Feng YAN, Lianfeng SHEN. NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services[J]. Telecommunications Science, 2023, 39(7): 11-22.

图/表 9

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物理意义	参数
Wi-Fi数据包长度/bit	12 000
MAC层帧头长度/bit	192
物理层帧头长度/bit	224
ACK帧长度	112 bit +物理层帧头
CTS帧长度	112 bit +物理层帧头
RTS帧长度	160 bit +物理层帧头
Wi-Fi比特率/(Mbit·s^-1)	54
电波传播时延/μs	1
时隙长度/μs	20
DIFS/μs	34
SIFS/μs	16
Wi-Fi初始竞争窗口	16
Wi-Fi最大退避次数	6
非授权频谱带宽/MHz	20
AWGN功率/(dBm·Hz^-1)	-174
QPT子载波功率/dBm	-70
LPT子载波功率/dBm	-80
gNodeB子载波数量	256
STA平均速率需求/(Mbit·s^-1)	5

面向电力业务质量保障的NR-U与Wi-Fi频谱共享

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

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