| 2025 | CNSM | QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning. | Sebastian Racedo, Brigitte Jaumard, Oscar Delgado, Meysam Masoudi |
| 2023 | ACSSC | Amplitude-Based Sequential Optimization of Energy Harvesting with Reconfigurable Intelligent Surfaces. | Morteza Tavana, Meysam Masoudi, Emil Bjrnson |
| 2023 | ACSSC | DRL-Based Joint AP Deployment and Network-Centric Cluster Formation for Maximizing Long-Term Energy Efficiency in Cell-free Massive MIMO. | Ozan Alp Topal, Qinglong He, Ozlem Tugfe Demir, Meysam Masoudi, Cicek Cavdar |
| 2021 | PIMRC | Q-learning based Radio Resource Adaptation for Improved Energy Performance of 5G Base Stations. | S. Krishna Gowtam Peesapati, Magnus Olsson, Meysam Masoudi, Sren Andersson, Cicek Cavdar |
| 2021 | WiMob | An Analytical Energy Performance Evaluation Methodology for 5G Base Stations. | S. Krishna Gowtam Peesapati, Magnus Olsson, Meysam Masoudi, Sren Andersson, Cicek Cavdar |
| 2020 | PIMRC | Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks. | Meysam Masoudi, Mohammad Galal Khafagy, Ebrahim Soroush, Daniele Giacomelli, Simone Morosi, Cicek Cavdar |
| 2019 | PIMRC | Joint Functional Splitting and Content Placement for Green Hybrid CRAN. | Ajay Sriram, Meysam Masoudi, Abdulrahman Alabbasi, Cicek Cavdar |
| 2017 | WCNC | Green Cloud Computing for Multi Cell Networks. | Meysam Masoudi, Behzad Khamidehi, Cicek Cavdar |
| 2017 | WCNC | Energy and Spectrum Efficient Resource Allocation in Two-Tier Networks: A Multiobjective Approach. | Meysam Masoudi, Hamidreza Zaefarani, Abbas Mohammadi, Cicek Cavdar |