A framework for joint admission control, resource allocation and pricing for network slicing in 5G

Author:

Ben-Ameur Walid1,Cano Lorela1,Chahed Tijani1

Affiliation:

1. Institut Polytechnique de Paris, Telecom SudParis,Palaiseau,France

Funder

ANR

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey;International Journal of Communication Systems;2024-06-03

2. Adaptive Admission Control for 6G Network Slicing Resource Allocation (A2C-NSRA);Lecture Notes on Data Engineering and Communications Technologies;2024

3. kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices;Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing;2023-10-16

4. Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

5. Analysis of Buffer Influence on Network Slices Perfomance using Markov Chains;2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2022-08-04

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