Title
Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning
Abstract
With the proliferation of mobile networks, we face strong diversification of services, demanding the network to be more flexible. To satisfy this dire need, network slicing is embraced as a promising solution for resource utilization in 5G and future networks. However, this process is complicated that the traditional approaches cannot effectively perform resource orchestration due to the lack of a...
Year
DOI
Venue
2021
10.23919/IFIPNetworking52078.2021.9472202
2021 IFIP Networking Conference (IFIP Networking)
Keywords
DocType
ISBN
Adaptation models,5G mobile communication,Network slicing,Reinforcement learning,Markov processes,Dynamic scheduling,Resource management
Conference
978-3-9031-7639-3
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Yongshuai Liu101.69
Jiaxin Ding2104.26
Xin Liu33919320.56