Power allocation in uplink LTE femtocells with zero forcing frequency domain equalizer. - Behzad Khamidehi; Maryam Sabbaghian; Hamid Saeedi (WCNC, 2016)

Joint Sub-Channel Assignment and Power Allocation in Heterogeneous Networks: An Efficient Optimization Method. - Behzad Khamidehi; Ali Rahmati; Maryam Sabbaghian (IEEE Commun. Lett., 2016)

Green Cloud Computing for Multi Cell Networks. - Meysam Masoudi; Behzad Khamidehi; Cicek Cavdar (WCNC, 2017)

Power Efficient Trajectory Optimization for the Cellular-Connected Aerial Vehicles. - Behzad Khamidehi; Elvino S. Sousa (PIMRC, 2019)

Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations. - Behzad Khamidehi; Elvino S. Sousa (PIMRC, 2019)

Reinforcement Learning-Based Trajectory Design for the Drone Base Stations. - Behzad Khamidehi; Elvino S. Sousa (CoRR, 2019)

Resource Allocation for SC-FDMA Femtocell Networks. - Behzad Khamidehi; Maryam Sabbaghian (IEEE Trans. Veh. Technol., 2019)

Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning. - Behzad Khamidehi; Elvino S. Sousa (GLOBECOM, 2020)

A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint. - Behzad Khamidehi; Elvino S. Sousa (ICC, 2020)

No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems (Extended Version). - Behrad Soleimani; Behzad Khamidehi; Maryam Sabbaghian (CoRR, 2020)

No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems. - Behrad Soleimani; Behzad Khamidehi; Maryam Sabbaghian (IEEE Commun. Lett., 2020)

Distributed Deep Reinforcement Learning for Intelligent Traffic Monitoring with a Team of Aerial Robots. - Behzad Khamidehi; Elvino S. Sousa (ITSC, 2021)

Trajectory Design for the Aerial Base Stations to Improve Cellular Network Performance. - Behzad Khamidehi; Elvino S. Sousa (IEEE Trans. Veh. Technol., 2021)

Dynamic Resource Management for Providing QoS in Drone Delivery Systems. - Behzad Khamidehi; Majid Raeis; Elvino S. Sousa (ITSC, 2022)

Reinforcement-Learning-Aided Safe Planning for Aerial Robots to Collect Data in Dynamic Environments. - Behzad Khamidehi; Elvino S. Sousa (IEEE Internet Things J., 2022)

Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. - Hamidreza Mirkhani; Behzad Khamidehi; Kasra Rezaee (IV, 2024)

Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge. - Weize Zhang; Mohammed Elmahgiubi; Kasra Rezaee; Behzad Khamidehi; Hamidreza Mirkhani; Fazel Arasteh; Chunlin Li; Muhammad Ahsan Kaleem; Eduardo R. Corral-Soto; Dhruv Sharma; Tongtong Cao (CoRR, 2024)

Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning. - Fazel Arasteh; Mohammed Elmahgiubi; Behzad Khamidehi; Hamidreza Mirkhani; Weize Zhang; Kasra Rezaee (CoRR, 2024)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories. - Niloufar Saeidi Mobarakeh; Behzad Khamidehi; Chunlin Li; Hamidreza Mirkhani; Fazel Arasteh; Mohammed Elmahgiubi; Weize Zhang; Kasra Rezaee; Pascal Poupart (CoRR, 2024)

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving. - Hamidreza Mirkhani; Behzad Khamidehi; Ehsan Ahmadi; Fazel Arasteh; Mohammed Elmahgiubi; Weize Zhang; Umar Rajguru; Kasra Rezaee (CoRR, 2025)