5G Network Slice Prediction using Hybrid Neural Network and Random Forest Model-Reference-Cited by-同舟云学术

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5G Network Slice Prediction using Hybrid Neural Network and Random Forest Model

Published:2023-12-21 Issue: Volume:37 Page:196-201
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Communication (ICSC)
language:
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Author:

Ramya V¹,Singh Rimjhim Padam²,Panda Manoj Kumar¹,Kumar Priyanka³

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of Electronics and Communication Engineering,Bengaluru,India

2. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Bengaluru,India

3. University of Texas at San Antonio,Department of Computer Science,Texas,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440964/10440724/10441349.pdf?arnumber=10441349

Reference21 articles.

1. Technologies for 5G Networks: Challenges and Opportunities

2. Network Slicing for 5G: Challenges and Opportunities

3. 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

4. Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges

5. Optimal 5G network slicing using machine learning and deep learning concepts

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