Brief Survey: Machine Learning in Handover Cellular Network-Reference-Cited by-同舟云学术

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Brief Survey: Machine Learning in Handover Cellular Network

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:JIEE 2023
language:
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Author:

Párraga-Villamar Viviana¹^ORCID,Lupera-Morillo Pablo¹^ORCID,Grijalva Felipe²^ORCID,Carvajal Henry³^ORCID

Affiliation:

1. Departamento de Electrónica, Telecomunicaciones y Redes de Información (DETRI), Escuela Politécnica Nacional, Quito 170525, Ecuador

2. Colegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito USFQ, Quito 170901, Ecuador

3. Faculty of Engineering and Applied Sciences (FICA), Telecommunications Engineering, Universidad de Las Américas (UDLA), Quito 170503, Ecuador

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/47/1/2/pdf

Reference21 articles.

1. Yajnanarayana, V., Rydén, H., and Hévizi, L. (2020, January 10–12). 5G Handover using Reinforcement Learning. Proceedings of the 2020 IEEE 3rd 5G World Forum (5GWF), Bangalore, India.

2. A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities;Boutaba;J. Internet Serv. Appl.,2018

3. Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity;Hafez;Int. J. Comput. Electr. Autom. Control Inf. Eng.,2016

4. A churn prediction model for prepaid customers in telecom using fuzzy classifiers;Azeem;Telecommun. Syst.,2017

5. Big Data Analytics in Mobile Cellular Networks;He;IEEE Access,2016

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