Review on Reinforcement Learning-based approaches for Service Function Chain deployment in 5G networks-Reference-Cited by-同舟云学术

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Review on Reinforcement Learning-based approaches for Service Function Chain deployment in 5G networks

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on New Technologies of Information and Communication (NTIC)
language:
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Author:

Elbey Nour Elimane¹,Ayad Soheyb¹,Benhaya Bilal¹

Affiliation:

1. University Mohamed Khider of Biskra,Computer Science Department,Biskra,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099471/10100354/10100562.pdf?arnumber=10100562

Reference26 articles.

1. Deep Reinforcement Learning for NFV-based Service Function Chaining in Multi-Service Networks : Invited Paper

2. NFVdeep

3. Software defined networking architecture standardization

4. Improving network management with software defined networking

5. Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

Cited by 1 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. Scattering and Attenuation in 5G Electromagnetic Propagation (5 GHz and 25 GHz) in the Presence of Rainfall: A Numerical Study;Mathematics;2023-09-26

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