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Abdellatif Kobbane
Abdellatif Kobbane
Mohammed V University in Rabat
Adresse e-mail validée de um5.ac.ma - Page d'accueil
Titre
Citée par
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Année
Multi-access edge computing: A survey
A Filali, A Abouaomar, S Cherkaoui, A Kobbane, M Guizani
IEEE Access 8, 197017-197046, 2020
1552020
Lightweight mobile core networks for machine type communications
T Taleb, A Ksentini, A Kobbane
IEEE Access 2, 1128-1137, 2014
732014
Trust management in industrial internet of things
C Boudagdigue, A Benslimane, A Kobbane, J Liu
IEEE Transactions on Information Forensics and Security 15, 3667-3682, 2020
682020
Resource provisioning in edge computing for latency-sensitive applications
A Abouaomar, S Cherkaoui, Z Mlika, A Kobbane
IEEE Internet of Things Journal 8 (14), 11088-11099, 2021
672021
MoreAir: a low-cost urban air pollution monitoring system
I Gryech, Y Ben-Aboud, B Guermah, N Sbihi, M Ghogho, A Kobbane
Sensors 20 (4), 998, 2020
572020
Preemptive SDN load balancing with machine learning for delay sensitive applications
A Filali, Z Mlika, S Cherkaoui, A Kobbane
IEEE Transactions on Vehicular Technology 69 (12), 15947-15963, 2020
512020
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
A Filali, Z Mlika, S Cherkaoui, A Kobbane
IEEE Transactions on Network Science and Engineering 9 (4), 2174-2187, 2022
482022
SDN controller assignment and load balancing with minimum quota of processing capacity
A Filali, A Kobbane, M Elmachkour, S Cherkaoui
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
442018
Prediction-based switch migration scheduling for SDN load balancing
A Filali, S Cherkaoui, A Kobbane
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
382019
Communication and computation O-RAN resource slicing for URLLC services using deep reinforcement learning
A Filali, B Nour, S Cherkaoui, A Kobbane
IEEE Communications Standards Magazine 7 (1), 66-73, 2023
372023
A deep reinforcement learning approach for service migration in mec-enabled vehicular networks
A Abouaomar, Z Mlika, A Filali, S Cherkaoui, A Kobbane
2021 IEEE 46th conference on local computer networks (LCN), 273-280, 2021
362021
Model driven flexible design of a wireless body sensor network for health monitoring
A Harbouche, N Djedi, M Erradi, J Ben-Othman, A Kobbane
Computer Networks 129, 548-571, 2017
322017
Industrial internet of things-based prognostic health management: a mean-field stochastic game approach
MA Koulali, S Koulali, H Tembine, A Kobbane
IEEE Access 6, 54388-54395, 2018
282018
Green opportunistic access for cognitive radio networks: A minority game approach
M Elmachkour, I Daha, E Sabir, A Kobbane, J Ben-Othman
2014 IEEE International Conference on Communications (ICC), 5372-5377, 2014
272014
A resources representation for resource allocation in fog computing networks
A Abouaomar, S Cherkaoui, A Kobbane, OA Dambri
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
252019
Dynamic power control for energy harvesting wireless multimedia sensor networks
MA Koulali, A Kobbane, M El Koutbi, H Tembine, J Ben-Othman
EURASIP Journal on Wireless Communications and Networking 2012, 1-8, 2012
252012
Meeting Always-Best-Connected paradigm in heterogeneous vehicular networks: A graph theory and a signaling game analysis
A Mabrouk, A Kobbane, E Sabir, J Ben-Othman, M El Koutbi
Vehicular Communications 5, 1-8, 2016
232016
A distributed advanced analytical trust model for IoT
C Boudagdigue, A Benslimane, A Kobbane, M Elmachkour
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
222018
Achieving low-energy consumption in fog computing environment: A matching game approach
B Assila, A Kobbane, A Walid, M El Koutbi
2018 19th IEEE Mediterranean electrotechnical conference (MELECON), 213-218, 2018
222018
Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting
MA Ahajjam, DB Licea, M Ghogho, A Kobbane
Applied Energy 326, 119963, 2022
212022
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