智能电网邻域网中5G uRLLC的上行资源调度方案  

UPLINK RESOURCE SCHEDULING SCHEME OF 5G URLLC IN SMART GRID NEIGHBORHOOD AREA NETWORK

作　　者：董晓丹[1,2] 吴琼[2] Dong Xiaodan;Wu Qiong(School of Electrical and Electronic Engineering,Jiangsu Vocational College of Information Technology,Wuxi 214153,Jiangsu,China;College of Internet of Things Engineering,Jiangnan University,Wuxi 214122,Jiangsu,China)

机构地区：[1]江苏信息职业技术学院电子信息工程学院,江苏无锡214153 [2]江南大学物联网工程学院,江苏无锡214122

出　　处：《计算机应用与软件》2023年第10期156-161,190,共7页Computer Applications and Software

基　　金：国家自然科学基金项目(61701197);江苏高校“青蓝工程”资助项目(苏教师函[2020]10号)。

摘　　要：智能电网利用新一代信息技术实现网络安全、可靠、高效地运行。智能电网邻域网(Smart Grid Neighborhood Area Network,SGNAN)负责处理终端发送到数据集中单元的数据,对数据传输有较高的实时性和可靠性要求。采用5G uRLLC(Ultra-reliable and Low Latency Communication)技术建立SGNAN的上行链路资源调度模型,并给出解决方案。该方案依据优先级动态分配资源,定义分配矩阵、速率矩阵表示系统吞吐量(目标函数),使用改进的人工蜂群算法求得系统的最优资源分配方案。实验结果表明,该方案能够有效保证终端实时性、公平性,并改善系统的吞吐量。Smart grid uses a new generation of information technology to achieve safe,reliable and efficient network operation.Smart grid neighborhood area network(SGNAN) is responsible for processing the data sent from the terminal to the data concentrator unit,and has high real-time and reliability requirements for data transmission.This paper used 5G uRLLC(Ultra-reliable and low latency communication) technology to establish an uplink resource scheduling model for SGNAN and provided solutions.The scheme dynamically allocated resources based on priority,defined an allocation matrix and a rate matrix to represent system throughput(objective function),and used an improved artificial bee colony algorithm to obtain the system's optimal resource allocation plan.The experimental results show that the scheme can effectively ensure the real-time and fairness of the terminal,and improve the throughput of the system.

关 键 词：智能电网 邻域网 uRLLC 人工蜂群算法 吞吐量 公平性 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]