Estimating Pole Capacity From Radio Network Performance Statistics by Supervised Learning-Reference-Cited by-同舟云学术

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Estimating Pole Capacity From Radio Network Performance Statistics by Supervised Learning

Published:2020-12 Issue:4 Volume:17 Page:2090-2101
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Gijon Carolina^ORCID,Toril Matias^ORCID,Luna-Ramirez Salvador^ORCID,Bejarano-Luque Juan L.^ORCID,Mari-Altozano Maria Luisa^ORCID

Funder

Spanish Ministry of Science, Innovation and Universities

Junta de Andalucía

Spanish Ministry of Education, Culture and Sports

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/9289053/09225702.pdf?arnumber=9225702

Cited by 3 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. Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow;Drones;2022-06-15

2. Prediction of user throughput from Network Parameters of LTE Network using machine learning;Mobile Networks and Applications;2022-03-23

3. Data-Driven Estimation of Throughput Performance in Sliced Radio Access Networks via Supervised Learning;IEEE Transactions on Network and Service Management;2022

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