Zero touch management: A survey of network automation solutions for 5G and 6G networks E Coronado, R Behravesh, T Subramanya, A Fernandez-Fernandez, ... IEEE Communications Surveys & Tutorials 24 (4), 2535-2578, 2022 | 111 | 2022 |
Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks T Subramanya, D Harutyunyan, R Riggio Computer Networks 166, 106980, 2020 | 111 | 2020 |
Centralized and federated learning for predictive VNF autoscaling in multi-domain 5G networks and beyond T Subramanya, R Riggio IEEE Transactions on Network and Service Management 18 (1), 63-78, 2021 | 108 | 2021 |
Blockchain-based Infrastructure Sharing in 5G Small Cell Networks B Mafakheri, T Subramanya, L Goratti, R Riggio 14th International Conference on Network and Service Management (CNSM), 2018 | 70 | 2018 |
AI-driven Zero-touch Operations, Security and Trust in Multi-operator 5G Networks: a Conceptual Architecture G Carrozzo, MS Siddiqui, A Betzler, J Bonnet, GM Perez, A Ramos, ... 2020 European Conference on Networks and Communications (EuCNC), 254-258, 2020 | 65 | 2020 |
AI and ML–Enablers for beyond 5G Networks A Kaloxylos, A Gavras, D Camps, M Ghoraishi, H Hrasnica | 51 | 2021 |
Machine learning-driven Scaling and Placement of Virtual Network Functions at the Network Edges T Subramanya, R Riggio 5th International Conference on Network Softwarization (NetSoft), 2019, 2019 | 46 | 2019 |
LightMANO: Converging NFV and SDN at the Edges of the Network R Riggio, SN Khan, T Subramanya, IGB Yahia, D Lopez NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018 | 27 | 2018 |
Intent-based mobile backhauling for 5G networks T Subramanya, R Riggio, T Rasheed 2016 12th International Conference on Network and Service Management (CNSM …, 2016 | 24 | 2016 |
A practical architecture for mobile edge computing T Subramanya, L Goratti, SN Khan, E Kafetzakis, I Giannoulakis, R Riggio 2017 IEEE Conference on Network Function Virtualization and Software Defined …, 2017 | 22 | 2017 |
lightMEC: A Vendor-Agnostic Platform for Multi-access Edge Computing T Subramanya, G Baggio, R Riggio 14th International Conference on Network and Service Management (CNSM), 2018 | 14 | 2018 |
SDEC: A platform for software defined mobile edge computing research and experimentation T Subramanya, L Goratti, SN Khan, E Kafetzakis, I Giannoulakis, R Riggio 2017 IEEE Conference on Network Function Virtualization and Software Defined …, 2017 | 13 | 2017 |
Intent-driven network and service management: Definitions, modeling and implementation SS Mwanje, A Banerjee, J Goerge, A Abdelkader, G Hannak, P Szilágyi, ... ITU J. Future and Evolving Technologies 3 (3), 555-69, 2022 | 12 | 2022 |
ATHENA: Machine Learning and Reasoning for Radio Resources Scheduling in vRAN Systems N Apostolakis, M Gramaglia, LE Chatzieleftheriou, T Subramanya, ... IEEE Journal on Selected Areas in Communications 42 (2), 263-279, 2023 | 3 | 2023 |
Trust related management of artificial intelligence or machine learning pipelines ALIT Janne, T Subramanya US Patent 12,063,230, 2024 | 1 | 2024 |
Method and apparatus for determining and utilizing a trust indication in mobile networks B Gajic, GP GOMEZ, S Khare, T Subramanya US Patent App. 18/337,279, 2023 | 1 | 2023 |
Federated learning T Subramanya, S Khare, C Aggarwal US Patent App. 17/734,510, 2023 | 1 | 2023 |
METHODS AND ENTITIES FOR A NETWORK T Subramanya, B Gajic, L Jagadeesan, S Liu, M Monshizadeh, ... US Patent App. 18/785,195, 2025 | | 2025 |
Apparatus, method and computer program C Aggarwal, S KHARE, GN Divya, T SUBRAMANYA US Patent App. 18/758,848, 2025 | | 2025 |
TRUST RELATED MANAGEMENT OF ARTIFICIAL INTELLIGENCE OR MACHINE LEARNING PIPELINES IN RELATION TO ADVERSARIAL ROBUSTNESS T Subramanya, J Ali-tolppa US Patent App. 18/706,976, 2025 | | 2025 |