5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate-Reference-Cited by-同舟云学术

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5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate

Published:2024-06 Issue: Volume:247 Page:110434
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Moreira Cristiano L.^ORCID,Kamienski Carlos A.,Bianchi Reinaldo A.C.^ORCID

Funder

National Council for Scientific and Technological Development

State of Sao Paulo Research Foundation

Publisher

Elsevier BV

Reference54 articles.

1. Autonomous cars, 5G mobile networks and smart cities: Beyond the hype;Raissi,2019

2. 5G-assisted telementored surgery;Lacy;Br. J. Surg.,2019

3. Edge computing in 5G for drone navigation: What to offload;Hayat;IEEE Robot. Autom. Lett.,2021

4. Edge computing assisted joint quality adaptation for mobile video streaming;Rahman;IEEE Access,2019

5. Quality of experience-aware mobile edge caching through a vehicular cloud;Vigneri;IEEE Trans. Mob. Comput.,2020

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. InDS: Intelligent DRL Strategy for Effective Virtual Network Embedding of an Online Virtual Network Requests;IEEE Access;2024

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