Benedetta Picano; Romano Fantacci (2025). Efficient Task Offloading and Resource Allocation in an Intelligent UAV-MEC System. JOURNAL OF COMMUNICATIONS AND NETWORKS, pp. 1-16, ISSN:1976-5541

  Carnevali, Laura; Cerboni, Stefania; Picano, Benedetta; Scommegna, Leonardo; Vicario, Enrico (2024). An observation metamodel for dependability tools. In: 19th European Dependable Computing Conference (EDCC), ieee, pp. 169-172. DOI  

  Gallegos Ramonet, Alberto; Pecorella, Tommaso; Picano, Benedetta; Kinoshita, Kazuhiko (2024). Perspectives on IoT-oriented network simulation systems. COMPUTER NETWORKS, vol. 253, pp. 1-9, ISSN:1389-1286 DOI  

  Picano, Benedetta; Reali, Riccardo; Scommegna, Leonardo; Vicario, Enrico (2024). Elastic Autoscaling for Distributed Workflows in MEC Networks. In: Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologie, springer, pp. 151-160, ISBN:9783031579301 DOI  

  Picano B. ; Fantacci R. (2024). An Efficient Tasks Offloading Procedure for an Integrated Edge-Computing Architecture. JOURNAL OF COMMUNICATIONS AND NETWORKS, pp. 1-12, ISSN:1229-2370

  Verdecchia R.; Scommegna L.; Picano B.; Becattini M.; Vicario E. (2024). Network Digital Twins: A Systematic Review. IEEE ACCESS, vol. 12, pp. 145400-145416, ISSN:2169-3536 DOI  

  Benedetta Picano ; Romano Fantacci (2024). A Semantic-Oriented Federated Learning for Hybrid Ground-Aqua Computing Systems. IEEE INTERNET OF THINGS JOURNAL, vol. 11, pp. 10095-10103, ISSN:2327-4662 DOI  

  Picano B., Fantacci R. (2024). A Combined Stochastic Network Calculus and Matching Theory Approach for Computational Offloading in a Heterogenous MEC Environment. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 21, pp. 1958-1968, ISSN:1932-4537 DOI  

  Picano, Benedetta; Becattini, Marco; Carnevali, Laura; Vicario, Enrico (2024). Democratized Learning Enabling Multi-Level Digital Twin Model Integration. In: International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, vol. 2, pp. 1-8. DOI  

  B. Picano ; R. Fantacci (2024). Edge Intelligent Computing Systems in Different Domains. Springer, ISBN:978-3-031-49471-0

  Benedetta Picano ; Romano Fantacci (2023). AI-Driven Digital Twins for Tasks Offloading in 6G UAV-Aided MEC Networks. In: IEEE Globecon 2023, IEEE, pp. 1-5.

  Benedetta Picano, Enrico Vicario, Romano Fantacci (2023). An Efficient Flows Dispatching Scheme for Tardiness Minimization of Data-Intensive Applications in Heterogeneous Systems. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, pp. 1-10, ISSN:2327-4697 DOI  

  Benedetta Picano, Romano Fantacci (2023). End-to-End Delay Bound Analysis for VR and Industrial IoE Traffic Flows under Different Scheduling Policies in a 6G Network. COMPUTERS, pp. 1-15, ISSN:2073-431X DOI  

  Carnevali L.; Paolieri M.; Picano B.; Reali R.; Scommegna L.; Vicario E. (2023). A Quantitative Approach to Coordinated Scaling of Resources in Complex Cloud Computing Workflows. In: EPEW ASMTA 2023, springer, vol. 14231 LNCS, pp. 309-324, ISBN:9783031431845 DOI  

  Picano B, Scommegna L, Vicario E, Fantacci R. (2023). Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks. JOURNAL OF SENSOR AND ACTUATOR NETWORKS, pp. 1-10, ISSN:2224-2708 DOI  

  ROMANO FANTACCI; Benedetta Picano (2023). A D2D-Aided Federated Learning Scheme with Incentive Mechanism in 6G Networks. IEEE ACCESS, vol. 11, pp. 107-117, ISSN:2169-3536 DOI  

  BENEDETTA PICANO, ROMANO FANTACCI (2023). A Channel-Aware FL Approach for Virtual Machine Placement in 6G Edge intelligent Ecosystems. ACM TRANSACTIONS ON THE INTERNET OF THINGS, pp. 1-20, ISSN:2691-1914 DOI  

  Patrizi G.; Picano B.; Catelani M.; Fantacci R.; Ciani L. (2022). Validation of RUL estimation method for battery prognostic under different fast-charging conditions. In: 2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, Ottawa (Canada), 16 May 2022 through 19 May 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, ISBN:978-1-6654-8360-5 DOI   Accesso ONLINE all'editore

  Romano Fantacci ; Benedetta Picano (2022). Multi-user Semantic Communications System with Spectrum Scarcity. JOURNAL OF COMMUNICATIONS AND INFORMATION NETWORKS, pp. 1-10, ISSN:2096-1081 DOI  

  Picano B., Fantacci R. (2022). Human-in-the-Loop Virtual Reality Offloading Scheme in Wireless 6G Terahertz Networks. COMPUTER NETWORKS, pp. 1-10, ISSN:1389-1286 DOI  

  Picano B. (2021). End-to-end delay bound for VR services in 6G terahertz networks with heterogeneous traffic and different scheduling policies. MATHEMATICS, vol. 9, pp. 1638-1653, ISSN:2227-7390 DOI  

  Picano, Benedetta (2021). Multi-sensorial Human Perceptual Experience Model Identifier for Haptics Virtual Reality Services in Tactful Networking. IEEE ACCESS, pp. 1-10, ISSN:2169-3536 DOI  

  Fantacci R., Pecorella T., Picano B., Pierucci L. (2021). Martingale Theory Application to the Delay Analysis of a Multi-hop Aloha NOMA Scheme in Edge Computing Systems. IEEE-ACM TRANSACTIONS ON NETWORKING, vol. 29, pp. 2834-2842, ISSN:1063-6692 DOI  

  Catelani M.; Ciani L.; Fantacci R.; Patrizi G.; Picano B. (2021). Remaining Useful Life Estimation for Prognostics of Lithium-Ion Batteries Based on Recurrent Neural Network. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 70, pp. 1-11, ISSN:0018-9456 DOI   Accesso ONLINE all'editore

  Picano B., Fantacci R. (2021). An Intelligent Radio Buffer-Aided Relaying Scheme with Adaptive Link Selection. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 70, pp. 3677-3684, ISSN:0018-9545 DOI  

  Benedetta Picano, Romano Fantacci, Tommaso Pecorella, Adnan Rashid (2021). Federated learning for IoE environments: A service provider revenue maximization framework. ITU JOURNAL, vol. 2, pp. 1-12, ISSN:2616-8375 DOI  

  Fantacci R., Picano B. (2021). End-to-End Delay Bound for Wireless uVRServices over 6G Terahertz Communications. IEEE INTERNET OF THINGS JOURNAL, vol. 8, pp. 1790-1799, ISSN:2327-4662 DOI  

  Picano B., Fantacci R., Zhu Han (2021). Aging and Delay Analysis based on Lyapunov Optimization and Martingale Theory. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 8116-8126, ISSN:1939-9359 DOI  

  Fantacci R. , Picano B. (2021). Edge-Based Virtual Reality over 6G Terahertz Channels. IEEE NETWORK, vol. 35, pp. 28-33, ISSN:0890-8044 DOI  

  Picano B., Fantacci R., H. Zhu (2020). Price Control for Computational Offloading Services with Chaotic Data. In: IEEE ICNC'20 SPC, IEEE, pp. 1-5. DOI  

  Fantacci R., Picano B. (2020). A Matching Game with Discard Policy for Virtual Machines Placement in Hybrid Cloud-Edge Architecture for Industrial IoT Systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 16, pp. 7046-7055, ISSN:1551-3203 DOI  

  Tommaso Pecorella , Romano Fantacci , Benedetta Picano (2020). Improving CSI Prediction Accuracy with Deep Echo State Networks in 5G Networks. SENSORS, vol. 20, pp. 1-12, ISSN:1424-8220 DOI  

  Fantacci R., Picano B. (2020). Performance Analysis of a Delay Constrained Data Offloading Scheme in an Integrated Cloud-Fog-Edge Computing System. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 69, pp. 12004-12014, ISSN:0018-9545 DOI  

  Chiti F., Fantacci R., Picano B., Pierucci L. (2020). A Capacitated House Allocation Game for the Energy Efficient Relays Selection in 5G Multicast Context. SENSORS, vol. 20, pp. 1-12, ISSN:1424-8220 DOI   Accesso ONLINE all'editore

  F. Chiti, R. Fantacci, B. Picano (2020). A Matching Game for Tasks Offloading in Integrated Edge-Fog Computing Systems. EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, vol. 31, pp. 1-8, ISSN:1124-318X DOI   Accesso ONLINE all'editore

  Fantacci R. , Picano B. (2020). When Network Slicing Meets Prospect Theory: A Service Provider Revenue Maximization Framework. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 1-8, ISSN:0018-9545 DOI  

  Fantacci R., Picano B. (2020). Federated learning framework for mobile edge computing networks. CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, pp. 1-8, ISSN:2468-6557 DOI  

  Benedetta Picano (2020). Cross-Layer Resource Allocation Frameworks in Modern Networks. (Tutor: Romano Fantacci, Francesco Chiti, Giulio Bartoli)

  R. Fantacci, B. Picano (2019). Performance Analysis of an Edge Computing System for Real Time Computations and Mobile Users. In: IEEE Globecom 2019, IEEE, pp. 1-5. DOI  

  F. Chiti, R. Fantacci, F. Paganelli, B. Picano (2019). Virtual Functions Placement with Time Constraints in Fog Computing: a Matching Theory Perspective. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-9, ISSN:1932-4537 DOI  

  Benedetta Picano, Francesco Chiti , Romano Fantacci, Zhu Han (2019). Passengers Demand Forecasting Based on Chaos Theory. In: IEEE ICC 2019, IEEE, pp. 1-6. DOI  

  Giulio Bartoli, Romano Fantacci, Dania Marabissi, Benedetta Picano (2019). Efficient Matching for Almost Blank Subframes Allocation in Ultra Dense Networks. In: IEEE Wireless Communications and Networking Conference, Marrakech, Morocco, 15-19 April 2019, IEEE, pp. 1-5. DOI  

  Giulio Bartoli, Francesco Chiti, Romano Fantacci, Benedetta Picano (2019). An Efficient Resource Allocation Scheme for Applications in LR-WPANs based on a Stable Matching with Externalities Approach. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 68, pp. 5893-5903, ISSN:0018-9545 DOI  

  B. Picano, R. Fantacci, Zhu Han (2019). Nonlinear Dynamic Chaos Theory Framework for Passenger Demand Forecasting in Smart City. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 1-10, ISSN:0018-9545 DOI  

  Francesco Chiti, Romano Fantacci, Benedetta Picano (2018). A Matching Theory Framework for Tasks Offloading in Fog Computing for IoT Systems. IEEE INTERNET OF THINGS JOURNAL, vol. 5, pp. 5089-5096, ISSN:2327-4662 DOI  

  Chiti, Francesco; Fantacci, Romano; Picano, Benedetta; Gu, Yunan; Du, Xunsheng; Han, Zhu (2017). A low complexity matching game approach for LTE-Unlicensed. In: 2017 IEEE 86th Vehicular Technology Conference, IEEE, pp. 1-5. DOI