This repository contains all the codes used to implement the articles published during my master's degree. All artifacts are publicly available for use, along with the citation for each article.
- Deep reinforcement learning for joint functional split and network function placement in vRAN
- A genetic algorithm for efficiently solving the virtualized radio access network placement problem
- Optimal joint functional split and network function placement in vRAN with splittable flows
- RIC-O: Efficient placement of a disaggregated and distributed RAN Intelligent Controller with dynamic clustering of radio nodes
Publication link: https://ieeexplore.ieee.org/document/10001282
Github repository: https://github.com/LABORA-INF-UFG/paper-GLCK-2021
@INPROCEEDINGS{10001282,
author={Almeida, Gabriel Matheus and Lopes, Victor H. and Klautau, Aldebaro and Cardoso, Kleber V.},
booktitle={GLOBECOM 2022 - 2022 IEEE Global Communications Conference},
title={Deep reinforcement learning for joint functional split and network function placement in vRAN},
year={2022},
volume={},
number={},
pages={1229-1234},
keywords={Deep learning;Computational modeling;Reinforcement learning;Standardization;Global communication;Optimization;Next generation networking;vRAN;functional split;placement of virtual network functions (VNFs);deep reinforcement learning;learning to optimize},
doi={10.1109/GLOBECOM48099.2022.10001282}}
[Citation information for the relevant article]
Publication link: https://ieeexplore.ieee.org/abstract/document/10279334
Github repository: https://github.com/LABORA-INF-UFG/paper-GVAK-2022
@INPROCEEDINGS{10279334,
author={Almeida, Gabriel M. and Camilo-Junior, Celso and Correa, Sand and Cardoso, Kleber},
booktitle={ICC 2023 - IEEE International Conference on Communications},
title={A Genetic Algorithm for Efficiently Solving the Virtualized Radio Access Network Placement Problem},
year={2023},
volume={},
number={},
pages={1874-1879},
keywords={Base stations;Protocols;Scalability;Metaheuristics;Machine learning;Proposals;Joining processes;vRAN;functional splits;placement of virtual network functions (VNFs);genetic algorithm;metaheuristics},
doi={10.1109/ICC45041.2023.10279334}}
Publication link: https://ieeexplore.ieee.org/document/9769698
Github repository: https://github.com/LABORA-INF-UFG/paper-GCSK-2022
@ARTICLE{9769698,
author={Almeida, Gabriel M. and Pinto, Leizer de L. and Both, Cristiano B. and Cardoso, Kleber V.},
journal={IEEE Wireless Communications Letters},
title={Optimal Joint Functional Split and Network Function Placement in Virtualized RAN With Splittable Flows},
year={2022},
volume={11},
number={8},
pages={1684-1688},
keywords={Protocols;Throughput;Standards;Bit rate;Virtualization;Resource management;Radio access networks;vRAN;functional split;placement;flow split},
doi={10.1109/LWC.2022.3172878}}
[Citation information for the relevant article]
RIC-O: Efficient placement of a disaggregated and distributed RAN Intelligent Controller with dynamic clustering of radio nodes
Publication link: https://ieeexplore.ieee.org/abstract/document/10329927
Github repository: https://github.com/LABORA-INF-UFG/paper-GGAMECK-2023
@ARTICLE{10329927,
author={Almeida, Gabriel Matheus and Bruno, Gustavo Zanatta and Huff, Alexandre and Hiltunen, Matti and Duarte, Elias Procopio and Both, Cristiano Bonato and Cardoso, Kleber Vieira},
journal={IEEE Journal on Selected Areas in Communications},
title={RIC-O: Efficient Placement of a Disaggregated and Distributed RAN Intelligent Controller With Dynamic Clustering of Radio Nodes},
year={2024},
volume={42},
number={2},
pages={446-459},
keywords={Cloud computing;Technological innovation;Radio access networks;Computer architecture;Task analysis;Proposals;Optimization;RAN intelligent controller;O-RAN;near-RT RIC;placement;disaggregation},
doi={10.1109/JSAC.2023.3336159}}