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Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (décembre 2021). Mean-field game and reinforcement learning MEC resource provisioning for SFC [Communication écrite]. IEEE Global Communications Conference (IEEE GLOBAL 2021), Madrid, Spain. Lien externe
Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2021). Resource Provisioning in Edge Computing for Latency Sensitive Applications. IEEE Internet of Things Journal, 8(14), 11088-11099. Lien externe
Abouaomar, A., Mlika, Z., Filali, A., Cherkaoui, S., & Kobbane, A. (octobre 2021). A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks [Communication écrite]. 46th IEEE Conference on Local Computer Networks (LCN 2021), Edmonton, Alberta, Canada. Lien externe
Alalewi, A., Dayoub, I., & Cherkaoui, S. (2021). On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey. IEEE Access, 9, 107710-107737. Lien externe
Cherkaoui, S. (2021). Research Landscape – 6G Networks Research in Europe. IEEE Network, 35(6), 4-6. Lien externe
Lakoju, M., Javed, A., Rana, O., Burnap, P., Atiba, S. T., & Cherkaoui, S. (2021). “Chatty Devices” and edge-based activity classification. Discover Internet of Things, 1(1), 15 pages. Lien externe
Mlika, Z., & Cherkaoui, S. (juin 2021). Competitive Algorithms and Reinforcement Learning for NOMA in IoT Networks [Communication écrite]. IEEE International Conference on Communications (ICC 2021), Montreal, Qc, Canada (6 pages). Lien externe
Mlika, Z., & Cherkaoui, S. (2021). Massive IoT Access with NOMA in 5G Networks and Beyond using Online Competitiveness and Learning. IEEE Internet of Things Journal, 8(17), 13624-13639. Lien externe
Mlika, Z., & Cherkaoui, S. (2021). Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach. Lien externe
Mlika, Z., & Cherkaoui, S. (2021). Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles. IEEE Network, 35(3), 132-138. Lien externe
Moudoud, H., Cherkaoui, S., & Khoukhi, L. (juin 2021). Towards a Scalable and Trustworthy Blockchain: IoT Use Case [Communication écrite]. IEEE International Conference on Communications (ICC 2021), Montreal, Qc, Canada (6 pages). Lien externe
Moudoud, H., Cherkaoui, S., & Khoukhi, L. (décembre 2021). Towards a secure and reliable federated learning using blockchain [Communication écrite]. IEEE Global Communications Conference (IEEE GLOBAL 2021), Madrid, Spain. Lien externe
Moudoud, H., Khoukhi, L., & Cherkaoui, S. (2021). Prediction and Detection of FDIA and DDoS Attacks in 5G Enabled IoT. IEEE Network, 35(2), 194-201. Lien externe
Taik, A., Moudoud, H., & Cherkaoui, S. (octobre 2021). Data-Quality Based Scheduling for Federated Edge Learning [Communication écrite]. 46th IEEE Conference on Local Computer Networks (LCN 2021), Edmonton, AB, Canada (7 pages). Lien externe
Taik, A., Nour, B., & Cherkaoui, S. (2021). Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. IEEE Wireless Communications, 28(6), 26-33. Lien externe
Tak, A., & Cherkaoui, S. (2021). Federated Edge Learning: Design Issues and Challenges. IEEE Network, 35(2), 252-258. Lien externe
Triwinarko, A., Dayoub, I., & Cherkaoui, S. (2021). PHY layer enhancements for next generation V2X communication. Vehicular Communications, 32, 9 pages. Lien externe
