AI for Open Programmable Virtualized Networks in 6G

被引:0
|
作者
Granelli, Fabrizio [1 ]
Costa, Cristina E. [2 ]
Erol-Kantarci, Melike [3 ,4 ,5 ,6 ]
Zheng, Jun [7 ,8 ]
机构
[1] Univ Trento, Trento, Italy
[2] Telecom Italia Lab, Internet Serv Grp, Turin, Italy
[3] Univ Ottawa, AI enabled Next Generat Wireless Networks, Ottawa, ON, Canada
[4] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada
[5] Networked Syst & Commun Res NETCORE Lab, Ottawa, ON, Canada
[6] Vector Inst, Toronto, ON, Canada
[7] Southeast Univ, Sch Informat Sci & Engn, Nanjing, Peoples R China
[8] Purple Mt Labs, Interdisciplinary Sci Res Ctr, Nanjing, Peoples R China
关键词
D O I
10.1109/MWC.2022.9979699
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Programmable virtualized networks decouple data and control planes and have the power of supporting the demands of diverse and varied use cases, allowing the services to scale and adapt dynamically. The diverse demands of Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC) users inevitably increase the network complexity, making programmability alone not sufficient. To fulfill these demands, next generation mobile networks need to respond with the capacity of supporting a greater number of heterogeneous devices, the availability of more spectrum and the introduction of complex protocol stacks, making automated and intelligent tools for management, reconfiguration, adaptation, and coordination of network resources an impelling necessity.
引用
收藏
页码:10 / 11
页数:2
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