_SKIPNAVIGATION
ITA |
ENG
Personale
Recapiti
Pagina Cercachi
Italiano
Pubblicazioni
Insegnamenti
Benedetta PICANO
Ruolo attuale:
Ricercatore Legge 240/10 a tempo determinato
SSD:
IINF-05/A - Sistemi di elaborazione delle informazioni
Afferenza organizzativa:
Dipartimento di Ingegneria dell'Informazione
Recapiti
0552758580
benedetta.picano(AT)unifi.it
Benedetta PICANO
Pubblicazioni
Legenda
Contributo su rivista |
Articolo su libro |
Libro |
Contributo in atti di convegno (proceeding) |
Brevetto |
Curatela |
Altro |
Tesi di Dottorato
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