Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks-Reference-Cited by-同舟云学术

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Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks

Published:2024-02 Issue: Volume:152 Page:111208
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chan Yin-Chi^ORCID,Wu Jingjin^ORCID,Wong Eric W.M.^ORCID,Leung Chi Sing

Publisher

Elsevier BV

Subject

Software

Reference38 articles.

1. Computing-aware base station sleeping mechanism in H-CRAN-Cloud-Edge networks;Alnoman;IEEE Trans. Cloud Comput.,2019

2. Power consumption and GoS tradeoff in cellular mobile networks with base station sleeping and related performance studies;Wu;IEEE Trans. Green Commun. Netw.,2020

3. Femtocell base station deployment in commercial buildings: a global optimization approach;Liu;IEEE J. Sel. Areas Commun.,2012

4. Millimeter-wave base station deployment using the scenario sampling approach;Dong;IEEE Trans. Veh. Technol.,2020

5. Joint optimization of base station activation and user association in ultra dense networks under traffic uncertainty;Teng;IEEE Trans. Commun.,2021

Cited by 2 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. A study of a loss system with priorities;Heliyon;2024-08

2. Estimating Quality-of-Service in Urban Vehicular Networks Through Machine Learning;IEEE Access;2024

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