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Mohammad Parvini
Mohammad Parvini
Communications Systems Researcher, TU Dresden
Zweryfikowany adres z tu-dresden.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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 72 (8), 9880-9896, 2023
662023
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
55*2023
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 11, 102643-102660, 2023
222023
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
202023
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
152021
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
72024
Berlin v2x
R Hernangomez, P Geuer, A Palaios, D Schäufele, C Watermann, ...
IEEE Dataport, 2022
62022
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
52024
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
52024
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
42023
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
42020
An Optimized OFDM Waveform Design for 6G Industrial Networks
M Parvini, MQ Khan, P Schulz, G Fettweis
IEEE Transactions on Wireless Communications, 2024
2024
On the Generalization of Machine Learning for mmWave Beam Prediction
MQ Khan, A Gaber, M Parvini, P Schulz, G Fettweis
2024 19th International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2024
2024
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