Publications

D. Naseh, S. S. Shinde, and D. Tarchi, “Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios,” J. Sens. Actuator Netw., vol. 13, no. 1, Art. no. 14, 2024, doi:10.3390/jsan13010014.

S. S. Shinde and D. Tarchi, “A Markov Decision Process Solution for Energy-Saving Network Selection and Computation Offloading in Vehicular Networks,” IEEE Trans. Veh. Technol., vol. 72, no. 9, pp. 12031–12046, 2023, doi:10.1109/TVT.2023.3264504.

S. S. Shinde and D. Tarchi, “Joint Air-Ground Distributed Federated Learning for Intelligent Transportation Systems,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 9, pp. 9996–10011, 2023, doi:10.1109/TITS.2023.3265416.

S. S. Shinde and D. Tarchi, “Collaborative Reinforcement Learning for Multi-Service Internet of Vehicles,” IEEE Internet Things J., vol. 10, no. 3, pp. 2589–2602, 2023, doi:10.1109/JIOT.2022.3213993.

L. Zhao, C. Wang, K. Zhao, D. Tarchi, S. Wan, and N. Kumar, “INTERLINK: A Digital Twin-Assisted Storage Strategy for Satellite-Terrestrial Networks,” IEEE Trans. Aerosp. Electron. Syst., vol. 58, no. 5, pp. 3746–3759, 2022, doi:10.1109/TAES.2022.3169130.

A. Bozorgchenani, S. Maghsudi, D. Tarchi, and E. Hossain, “Computation Offloading in Heterogeneous Vehicular Edge Networks: On-Line and Off-Policy Bandit Solutions,” IEEE Trans. Mobile Comput., vol. 21, no. 12, pp. 4233–4248, 2022, doi:10.1109/TMC.2021.3082927.

S. Shinde, A. Bozorgchenani, D. Tarchi, and Q. Ni, “On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems,” IEEE Trans. Veh. Technol., vol. 71, no. 2, pp. 2041–2057, 2022, doi:10.1109/TVT.2021.3135332.

A. Khazali, D. Tarchi, M. G. Shayesteh, H. Kalbkhani, and A. Bozorgchenani, “Energy Efficient Uplink Transmission in Cooperative mmWave NOMA Networks With Wireless Power Transfer,” IEEE Trans. Veh. Technol., vol. 71, no. 1, pp. 391–405, 2022, doi:10.1109/TVT.2021.3124076.

F. G. Ortiz-Gomez, D. Tarchi, R. Martinez, A. Vanelli-Coralli, M. A. Salas-Natera, and S. Landeros-Ayala, “Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 1, pp. 335–349, 2022, doi:10.1109/TCCN.2021.3087586.

C. D’Ortona, D. Tarchi, and C. Raffaelli, “Open-Source MQTT-Based End-to-End IoT System for Smart City Scenarios,” Future Internet, vol. 14, no. 2, Art. no. 57, 2022, doi:10.3390/fi14020057.

E. Muscinelli, S. S. Shinde, and D. Tarchi, “Overview of Distributed Machine Learning Techniques for 6G Networks,” Algorithms, vol. 15, no. 6, Art. no. 210, 2022, doi:10.3390/a15060210.

F. G. Ortiz-Gomez et al., “Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems,” Electronics, vol. 11, no. 7, Art. no. 992, 2022, doi:10.3390/electronics11070992.

A. Bozorgchenani, F. Mashhadi, D. Tarchi, and S. A. Salinas Monroy, “Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments,” IEEE Trans. Mobile Comput., vol. 20, no. 10, pp. 2992–3005, 2021, doi:10.1109/TMC.2020.2994232.

F. Mashhadi, S. A. S. Monroy, A. Bozorgchenani, and D. Tarchi, “Optimal auction for delay and energy constrained task offloading in mobile edge computing,” Comput. Netw., vol. 183, Art. no. 107527, 2020, doi:10.1016/j.comnet.2020.107527.

A. Bozorgchenani, D. Tarchi, and G. E. Corazza, “Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services,” IEEE Trans. Green Commun. Netw., vol. 3, no. 1, pp. 250–263, 2019, doi:10.1109/TGCN.2018.2885443.

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