Data-Driven Estimation of Throughput Performance in Sliced Radio Access Networks via Supervised Learning-Reference-Cited by-同舟云学术

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Data-Driven Estimation of Throughput Performance in Sliced Radio Access Networks via Supervised Learning

Published:2022 Issue: Volume: Page:1-1
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Gijon C.¹^ORCID,Toril M.¹^ORCID,Luna-Ramirez S.¹^ORCID

Affiliation:

1. Telecommunication Research Institute (TELMA), Universidad de Málaga, Málaga, Spain

Funder

Ministerio de Ciencia e Innovaci?n

Ministerio de Educaci?n y Formaci?n Profesional

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/5699970/09896982.pdf?arnumber=9896982

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. SLA-Driven Traffic Steering in B5G Systems With Network Slicing;IEEE Transactions on Vehicular Technology;2024-08

2. Novel Adaptive Multi-User Multi-Services Scheduling to Enhance Throughput in 5G-Advanced and Beyond;IEEE Transactions on Network and Service Management;2024-04

3. Data-Driven Energy Efficiency Modeling in Large-Scale Networks: An Expert Knowledge and ML-Based Approach;IEEE Transactions on Machine Learning in Communications and Networking;2024

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