AUTOMATIC NETWORK SLICING FOR IOT IN SMART CITY

被引：19

作者：

Zhou, Fanqin ^{[1
]}

Yu, Peng ^{[1
]}

Feng, Lei ^{[1
]}

Qiu, Xuesong ^{[1
]}

Wang, Zhili ^{[2
]}

Meng, Luoming ^{[2
]}

Kadoch, Michel ^{[3
]}

Gong, Liang ^{[4
]}

Yao, Xianjiong ^{[5
]}

机构：

[1] BUPT, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

[2] BUPT, Beijing, Peoples R China

[3] Ecole Technol Super, Montreal, PQ, Canada

[4] Acad Broadcast Planning NRTA China, Beijing, Peoples R China

[5] State Grid Shanghai Municipal Elect Power Co, Shanghai, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS | 2020年 / 27卷 / 06期

基金：

国家重点研发计划;

关键词：

Network slicing; Smart cities; Internet of Things; 5G mobile communication; Companies; Resource management; Dynamic scheduling; COMMUNICATION; SYSTEMS;

D O I：

10.1109/MWC.001.2000069

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet of things (IoT) in smart city consists of a diversity of public utility and vertical industry services with extremely different performance requirements. As a key technology of 5G networks, network slicing (NS) is featured to provide distinct virtual networks and differentiated QoS guarantees in a shared infrastructure. Therefore, it becomes necessary to employ intelligent NS management for IoT in smart city. This work proposes a machine learning (ML) driven automatic NS framework which can intelligently scale slice according to network state. The resource preservation and slicing implementation scheme is given to trade off robustness and resource efficiency. Finally, the present study provides preliminary results via simulation and experimentation to justify the effectiveness and efficiency of the presented design.

引用

页码：108 / 115

页数：8

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