5G Network Slice Admission Control Using Optimization and Reinforcement Learning-Reference-Cited by-同舟云学术

5G Network Slice Admission Control Using Optimization and Reinforcement Learning

Published:2022-04-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Haque Md Ariful¹,Kirova Vassilka²

Affiliation:

1. Old Dominion University,Computational Modeling and Simulation Engineering,Norfolk,VA,USA

2. Nokia Bell Labs Consulting,Murray Hill,NJ,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771643.pdf?arnumber=9771643

Reference9 articles.

1. On using reinforcement learning for network slice admission control in 5G: Offline vs. online

2. Modeling profit of sliced 5G networks for advanced network resource management and slice implementation

3. Pre-emptive priority scheduling with aging technique for effective disaster management in cloud;mahitha;Graduate Research in Engineering and Technology (GRET) An International Journal,2013

4. Admission and Congestion Control for 5G Network Slicing

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