AoI-aware resource allocation for platoon-based C-V2X networks via multi-agent multi-task reinforcement learning M Parvini, MR Javan, N Mokari, B Abbasi, EA Jorswieck IEEE Transactions on Vehicular Technology, 2023 | 29 | 2023 |
Spectrum sharing schemes from 4G to 5G and beyond: Protocol flow, regulation, ecosystem, economic M Parvini, AH Zarif, A Nouruzi, N Mokari, MR Javan, B Abbasi, A Ghasemi, ... IEEE Open Journal of the Communications Society 4, 464-517, 2023 | 17 | 2023 |
A comprehensive survey of spectrum sharing schemes from a standardization and implementation perspective M Parvini, AH Zarif, A Nouruzi, N Mokari, MR Javan, B Abbasi, A Ghasemi, ... arXiv preprint arXiv:2203.11125, 2022 | 9 | 2022 |
Berlin V2X: A machine learning dataset from multiple vehicles and radio access technologies R Hernangómez, P Geuer, A Palaios, D Schäufele, C Watermann, ... 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-5, 2023 | 8 | 2023 |
AoI aware radio resource management of autonomous platoons via multi agent reinforcement learning M Parvini, MR Javan, N Mokari, BA Arand, EA Jorswieck 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2021 | 7 | 2021 |
A secure and resilient 6G architecture vision of the German flagship project 6G-ANNA M Hoffmann, G Kunzmann, T Dudda, R Irmer, A Jukan, G Macher, ... IEEE Access, 2023 | 5 | 2023 |
Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning M Parvini, A González, A Villamil, P Schulz, G Fettweis ICC 2023 - IEEE International Conference on Communications, 1232-1237, 2023 | 3 | 2023 |
A unified framework for joint energy and AoI optimization via deep reinforcement learning for NOMA MEC-based networks A Zakeri, M Parvini, MR Javan, N Mokari, EA Jorswieck arXiv preprint arXiv:2011.00436, 2020 | 3 | 2020 |
Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets R Hernangómez, A Palaios, C Watermann, D Schäufele, P Geuer, ... IEEE Communications Magazine 62 (4), 90-95, 2024 | 2 | 2024 |
A Low-Complexity Machine Learning Design for mmWave Beam Prediction MQ Khan, A Gaber, M Parvini, P Schulz, G Fettweis IEEE Wireless Communications Letters, 2024 | 1 | 2024 |
Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions M Parvini, P Schulz, G Fettweis IEEE Open Journal of the Communications Society, 2024 | 1 | 2024 |