Title | ||
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Resource Allocation Method for Network Slicing Using Constrained Reinforcement Learning |
Abstract | ||
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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 Liu | 1 | 0 | 1.69 |
Jiaxin Ding | 2 | 10 | 4.26 |
Xin Liu | 3 | 3919 | 320.56 |