A machine learning-based design of PRACH receiver in 5G. - Naresh Modina; Riccardo Ferrari; Maurizio Magarini (ANT/EDI40, 2019)

Joint Traffic Offloading and Aging Control in 5G IoT Networks. - Naresh Modina; Rachid El Azouzi; Francesco De Pellegrini; Daniel Sadoc Menasché (ITC, 2020)

Multi Resource Allocation for Network Slices with Multi-Level fairness. - Naresh Modina; Mandar Datar 001; Rachid El Azouzi; Francesco De Pellegrini (ICC, 2022)

Pricing design and resource allocation for 5G services. (Tarification et allocation des ressources pour les services 5G). - Naresh Modina (2022)

Fisher Market Model based Resource Allocation for 5G Network Slicing. - Mandar Datar 001; Naresh Modina; Rachid El Azouzi; Eitan Altman (CoRR, 2023)

Joint Traffic Offloading and Aging Control in 5G IoT Networks. - Naresh Modina; Rachid El Azouzi; Francesco De Pellegrini; Daniel Sadoc Menasché; Rosa Figueiredo 001 (IEEE Trans. Mob. Comput., 2023)

FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems. - Salah Bin Ruba; Naresh Modina; Pedro B. Velloso; Stefano Secci (CloudNet, 2024)