Mohammad Parvini

Orcid: 0000-0002-1315-7635

According to our database1, Mohammad Parvini authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Optimized OFDM Waveform Design for 6G Industrial Networks.
IEEE Trans. Wirel. Commun., November, 2024

A Low-Complexity Machine Learning Design for mmWave Beam Prediction.
IEEE Wirel. Commun. Lett., June, 2024

Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets.
IEEE Commun. Mag., April, 2024

Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions.
IEEE Open J. Commun. Soc., 2024

2023
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning.
IEEE Trans. Veh. Technol., August, 2023



Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic.
IEEE Open J. Commun. Soc., 2023

Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets.
CoRR, 2023

A Secure and Resilient 6G Architecture Vision of the German Flagship Project 6G-ANNA.
IEEE Access, 2023


On the Generalization of Machine Learning for mmWave Beam Prediction.
Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023

2021
AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning.
Dataset, May, 2021

AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021


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