On the Performance of Relay Selection in Cognitive Radio Networks. - Zoubeir Mlika; Wessam Ajib; Wael Jaafar; David Haccoun (VTC Fall, 2012)

Efficient user and power allocation in femtocell networks. - Zoubeir Mlika; Mathew Goonewardena; Wessam Ajib; Halima Elbiaze (WiMob, 2013)

Femtocell Association in Two-Tier Cellular Networks: Complexity and Efficient Algorithms. - Zoubeir Mlika; Mathew Goonewardena; Wessam Ajib; Halima Elbiaze (CoRR, 2014)

A completely distributed algorithm for user association in HetSNets. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib; Halima Elbiaze (ICC, 2015)

On the Base Station Association Problem in HetSNets. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib; Halima Elbiaze (CoRR, 2015)

Base Station Operation and User Association in HetNets: Complexity and Heuristic Algorithms. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (GLOBECOM, 2017)

A simple approximation algorithm for base station association in HetNets. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (ICC, 2017)

On the user association and resource allocation in hetnets with mmWave base stations. - Cirine Chaieb; Zoubeir Mlika; Fatma Abdelkefi; Wessam Ajib (PIMRC, 2017)

A fully distributed algorithm for user-base station association in HetNets. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (Comput. Commun., 2017)

User Association and Scheduling With Hard Deadlines in Heterogeneous Cellular Networks. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (IEEE Commun. Lett., 2017)

User-Base-Station Association in HetSNets: Complexity and Efficient Algorithms. - Zoubeir Mlika; Mathew Goonewardena; Wessam Ajib; Halima Elbiaze (IEEE Trans. Veh. Technol., 2017)

User Scheduling with Deadlines and Energy Harvesting Base Station. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (GLOBECOM, 2018)

Mobility-Aware User Association in HetNets with Millimeter Wave Base Stations. - Cirine Chaieb; Zoubeir Mlika; Fatma Abdelkefi; Wessam Ajib (IWCMC, 2018)

User Association Under SINR Constraints in HetNets: Upper Bound and NP-Hardness. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (IEEE Commun. Lett., 2018)

Energy-Efficient Base Station Operation and Association in HetNets: Complexity and Algorithms. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (IEEE Trans. Wirel. Commun., 2018)

Deadline Scheduling in Energy Harvesting Networks: Competitive and Learning Algorithms. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (GLOBECOM, 2019)

Packet Scheduling Algorithms to Minimize the Age of Information in Energy Harvesting Networks. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (PIMRC, 2019)

Association and Scheduling in Energy Harvesting Networks: Age of Information and Fairness Trade-off. - Zoubeir Mlika; Oussama Khalifeh; Wessam Ajib (VTC Spring, 2020)

Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning. - Zoubeir Mlika; Soumaya Cherkaoui (CoRR, 2020)

On the Optimization of User Association and Resource Allocation in HetNets With mm-Wave Base Stations. - Cirine Chaieb; Zoubeir Mlika; Fatma Abdelkefi; Wessam Ajib (IEEE Syst. J., 2020)

Preemptive SDN Load Balancing With Machine Learning for Delay Sensitive Applications. - Abderrahime Filali; Zoubeir Mlika; Soumaya Cherkaoui; Abdellatif Kobbane (IEEE Trans. Veh. Technol., 2020)

Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms. - Zoubeir Mlika; Elmahdi Driouch; Wessam Ajib (IEEE Trans. Veh. Technol., 2020)

Mean-Field Game and Reinforcement Learning MEC Resource Provisioning for SFC. - Amine Abouaomar; Soumaya Cherkaoui; Zoubeir Mlika; Abdellatif Kobbane (GLOBECOM, 2021)

Competitive Algorithms and Reinforcement Learning for NOMA in IoT Networks. - Zoubeir Mlika; Soumaya Cherkaoui (ICC, 2021)

A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks. - Amine Abouaomar; Zoubeir Mlika; Abderrahime Filali; Soumaya Cherkaoui; Abdellatif Kobbane (LCN, 2021)

Network slicing for vehicular communications: a multi-agent deep reinforcement learning approach. - Zoubeir Mlika; Soumaya Cherkaoui (Ann. des Télécommunications, 2021)

Resource Provisioning in Edge Computing for Latency-Sensitive Applications. - Amine Abouaomar; Soumaya Cherkaoui; Zoubeir Mlika; Abdellatif Kobbane (IEEE Internet Things J., 2021)

Massive IoT Access With NOMA in 5G Networks and Beyond Using Online Competitiveness and Learning. - Zoubeir Mlika; Soumaya Cherkaoui (IEEE Internet Things J., 2021)

Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles. - Zoubeir Mlika; Soumaya Cherkaoui (IEEE Netw., 2021)

Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X. - Andy Triwinarko; Zoubeir Mlika; Soumaya Cherkaoui; Iyad Dayoub (UNet, 2022)

Energy Harvesting Wireless Sensor Networks: Inter-delivery-aware Scheduling Algorithms. - Amina Hentati; Zoubeir Mlika; Jean-François Frigon; Wessam Ajib (WCNC, 2022)

Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. - Amine Abouaomar; Soumaya Cherkaoui; Zoubeir Mlika; Abdellatif Kobbane (IEEE Syst. J., 2022)

Data-Aware Device Scheduling for Federated Edge Learning. - Afaf Taïk; Zoubeir Mlika; Soumaya Cherkaoui (IEEE Trans. Cogn. Commun. Netw., 2022)

Deep Deterministic Policy Gradient to Minimize the Age of Information in Cellular V2X Communications. - Zoubeir Mlika; Soumaya Cherkaoui (IEEE Trans. Intell. Transp. Syst., 2022)

Clustered Vehicular Federated Learning: Process and Optimization. - Afaf Taïk; Zoubeir Mlika; Soumaya Cherkaoui (IEEE Trans. Intell. Transp. Syst., 2022)

Dynamic SDN-Based Radio Access Network Slicing With Deep Reinforcement Learning for URLLC and eMBB Services. - Abderrahime Filali; Zoubeir Mlika; Soumaya Cherkaoui; Abdellatif Kobbane (IEEE Trans. Netw. Sci. Eng., 2022)

Detection and Prediction of FDI Attacks in IoT Systems via Hidden Markov Model. - Hajar Moudoud; Zoubeir Mlika; Lyes Khoukhi; Soumaya Cherkaoui (IEEE Trans. Netw. Sci. Eng., 2022)

Federated Learning and Proactive Computation Reuse at the Edge of Smart Homes. - Boubakr Nour; Soumaya Cherkaoui; Zoubeir Mlika (IEEE Trans. Netw. Sci. Eng., 2022)

User trajectory prediction in mobile wireless networks using quantum reservoir computing. - Zoubeir Mlika; Soumaya Cherkaoui; Jean Frédéric Laprade; Simon Corbeil-Letourneau (IET Quantum Commun., 2023)

Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks. - Zoubeir Mlika; Tri Nhu Do; Adel Larabi; Jennie Diem Vo; Jean-François Frigon; François Leduc-Primeau (VTC Fall, 2024)

Open RAN Slicing for MVNOs With Deep Reinforcement Learning. - Abderrahime Filali; Zoubeir Mlika; Soumaya Cherkaoui (IEEE Internet Things J., 2024)