A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization-Reference-Cited by-同舟云学术

A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization

Published:2022-07 Issue: Volume:14 Page:100142
ISSN:2590-0056
Container-title:Array
language:en
Short-container-title:Array

Author:

Ssengonzi Charles^ORCID,Kogeda Okuthe P.^ORCID,Olwal Thomas O.

Publisher

Elsevier BV

Subject

General Computer Science

Reference234 articles.

1. Framework of the IMT-2020 network;Tech. Rep. Rec. ITU-T Y.,2018

2. Network slicing as a service: enabling enterprises' own software-defined cellular networks;Zhou;IEEE Commun Mag,2016

3. Applying SDN architecture to 5G slicing;ONF;Tech. Rep. TR-,2016

4. Network slicing for 5G with SDN/NFV: concepts, architectures, and challenges;Ordonez-Lucena;IEEE Commun Mag,2017

5. Design and development ai-enabled edge computing for intelligent-iot applications;Sivaganesan;Journal of trends in Computer Science and Smart technology (TCSST),2019

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