AUTODEEPSLICE: A Data Driven Network Slicing Technique of 5G network using Automatic Deep Learning-Reference-Cited by-同舟云学术

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AUTODEEPSLICE: A Data Driven Network Slicing Technique of 5G network using Automatic Deep Learning

Published:2022-12-04 Issue: Volume: Page:
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Container-title:2022 IEEE Globecom Workshops (GC Wkshps)
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Author:

Chowdhury Deepraj¹,Das Rupanjan¹,Rana Risav¹,Dwivedi Ashutosh Dhar²,Chatterjee Pushpita³,Mukkamala Raghava Rao²

Affiliation:

1. International Institute of Information Technology,Department of Electronics and Communication,Naya Raipur,India

2. Copenhagen Business School,Centre for Business Data Analytics,Department of Digitization,Frederiksberg,Denmark

3. Tennessee State University,Department of Computer Science,Nashville,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008652.pdf?arnumber=10008652

Reference21 articles.

1. An efficient packet parser architecture for software-defined 5G networks

2. Blockchain and artificial intelligence for 5G‐enabled Internet of Things: Challenges, opportunities, and solutions

3. BRISK: Dynamic Encryption Based Cipher for Long Term Security

4. Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things

5. DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

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