A Low Complexity Matching Game Approach for LTE-Unlicensed. - Francesco Chiti; Romano Fantacci; Benedetta Picano; Yunan Gu; Xunsheng Du; Zhu Han 001 (VTC Fall, 2017)

A Matching Theory Framework for Tasks Offloading in Fog Computing for IoT Systems. - Francesco Chiti; Romano Fantacci; Benedetta Picano (IEEE Internet Things J., 2018)

Performance Analysis of an Edge Computing System for Real Time Computations and Mobile Users. - Romano Fantacci; Benedetta Picano (GLOBECOM, 2019)

Passengers Demand Forecasting Based on Chaos Theory. - Benedetta Picano; Francesco Chiti; Romano Fantacci; Zhu Han 001 (ICC, 2019)

Efficient Matching for Almost Blank Subframes Allocation in Ultra Dense Networks. - Giulio Bartoli; Romano Fantacci; Dania Marabissi; Benedetta Picano (WCNC, 2019)

Virtual Functions Placement With Time Constraints in Fog Computing: A Matching Theory Perspective. - Francesco Chiti; Romano Fantacci; Federica Paganelli; Benedetta Picano (IEEE Trans. Netw. Serv. Manag., 2019)

An Efficient Resource Allocation Scheme for Applications in LR-WPANs Based on a Stable Matching With Externalities Approach. - Giulio Bartoli; Francesco Chiti; Romano Fantacci; Benedetta Picano (IEEE Trans. Veh. Technol., 2019)

Nonlinear Dynamic Chaos Theory Framework for Passenger Demand Forecasting in Smart City. - Benedetta Picano; Romano Fantacci; Zhu Han 001 (IEEE Trans. Veh. Technol., 2019)

Price Control for Computational Offloading Services with Chaotic Data. - Benedetta Picano; Romano Fantacci; Zhu Han 001 (ICNC, 2020)

Federated learning framework for mobile edge computing networks. - Romano Fantacci; Benedetta Picano (CAAI Trans. Intell. Technol., 2020)

A matching game for tasks offloading in integrated edge-fog computing systems. - Francesco Chiti; Romano Fantacci; Benedetta Picano (Trans. Emerg. Telecommun. Technol., 2020)

A Capacitated House Allocation Game for the Energy Efficient Relays Selection in 5G Multicast Context. - Francesco Chiti; Romano Fantacci; Benedetta Picano; Laura Pierucci (Sensors, 2020)

Improving CSI Prediction Accuracy with Deep Echo State Networks in 5G Networks. - Tommaso Pecorella; Romano Fantacci; Benedetta Picano (Sensors, 2020)

A Matching Game With Discard Policy for Virtual Machines Placement in Hybrid Cloud-Edge Architecture for Industrial IoT Systems. - Romano Fantacci; Benedetta Picano (IEEE Trans. Ind. Informatics, 2020)

When Network Slicing Meets Prospect Theory: A Service Provider Revenue Maximization Framework. - Romano Fantacci; Benedetta Picano (IEEE Trans. Veh. Technol., 2020)

Performance Analysis of a Delay Constrained Data Offloading Scheme in an Integrated Cloud-Fog-Edge Computing System. - Romano Fantacci; Benedetta Picano (IEEE Trans. Veh. Technol., 2020)

Multi-Sensorial Human Perceptual Experience Model Identifier for Haptics Virtual Reality Services in Tactful Networking. - Benedetta Picano (IEEE Access, 2021)

End-to-End Delay Bound for Wireless uVR Services Over 6G Terahertz Communications. - Romano Fantacci; Benedetta Picano (IEEE Internet Things J., 2021)

Edge-Based Virtual Reality over 6G Terahertz Channels. - Romano Fantacci; Benedetta Picano (IEEE Netw., 2021)

Remaining Useful Life Estimation for Prognostics of Lithium-Ion Batteries Based on Recurrent Neural Network. - Marcantonio Catelani; Lorenzo Ciani; Romano Fantacci; Gabriele Patrizi; Benedetta Picano (IEEE Trans. Instrum. Meas., 2021)

Martingale Theory Application to the Delay Analysis of a Multi-Hop Aloha NOMA Scheme in Edge Computing Systems. - Romano Fantacci; Tommaso Pecorella; Benedetta Picano; Laura Pierucci (IEEE/ACM Trans. Netw., 2021)

An Intelligent Radio Buffer-Aided Relaying Scheme With Adaptive Link Selection. - Benedetta Picano; Romano Fantacci (IEEE Trans. Veh. Technol., 2021)

Aging and Delay Analysis Based on Lyapunov Optimization and Martingale Theory. - Benedetta Picano; Romano Fantacci; Zhu Han 001 (IEEE Trans. Veh. Technol., 2021)

Validation of RUL estimation method for battery prognostic under different fast-charging conditions. - Gabriele Patrizi; Benedetta Picano; Marcantonio Catelani; Romano Fantacci; Lorenzo Ciani (I2MTC, 2022)

Human-in-the-loop virtual reality offloading scheme in wireless 6G Terahertz networks. - Benedetta Picano; Romano Fantacci (Comput. Networks, 2022)

Multi-User Semantic Communications System with Spectrum Scarcity. - Romano Fantacci; Benedetta Picano (J. Commun. Inf. Networks, 2022)

A Quantitative Approach to Coordinated Scaling of Resources in Complex Cloud Computing Workflows. - Laura Carnevali; Marco Paolieri; Benedetta Picano; Riccardo Reali; Leonardo Scommegna; Enrico Vicario (EPEW, 2023)

AI-Driven Digital Twins for Tasks Offloading in 6G UAV-Aided MEC Networks. - Benedetta Picano; Romano Fantacci (GLOBECOM (Workshops), 2023)

A D2D-Aided Federated Learning Scheme With Incentive Mechanism in 6G Networks. - Romano Fantacci; Benedetta Picano (IEEE Access, 2023)

An Efficient Flows Dispatching Scheme for Tardiness Minimization of Data-Intensive Applications in Heterogeneous Systems. - Benedetta Picano; Enrico Vicario; Romano Fantacci (IEEE Trans. Netw. Sci. Eng., 2023)

End-to-End Delay Bound Analysis for VR and Industrial IoE Traffic Flows under Different Scheduling Policies in a 6G Network. - Benedetta Picano; Romano Fantacci (Comput., 2023)

A Channel-aware FL Approach for Virtual Machine Placement in 6G Edge Intelligent Ecosystems. - Benedetta Picano; Romano Fantacci (ACM Trans. Internet Things, 2023)

Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks. - Benedetta Picano; Leonardo Scommegna; Enrico Vicario; Romano Fantacci (J. Sens. Actuator Networks, 2023)

Elastic Autoscaling for Distributed Workflows in MEC Networks. - Benedetta Picano; Riccardo Reali; Leonardo Scommegna; Enrico Vicario (AINA (5), 2024)

An observation metamodel for dependability tools. - Laura Carnevali; Stefania Cerboni; Benedetta Picano; Leonardo Scommegna; Enrico Vicario (EDCC, 2024)

Democratized Learning Enabling Multi-Level Digital Twin Model Integration. - Benedetta Picano; Marco Becattini; Laura Carnevali; Enrico Vicario (ETFA, 2024)

Network Digital Twins: A Systematic Review. - Roberto Verdecchia; Leonardo Scommegna; Benedetta Picano; Marco Becattini; Enrico Vicario (IEEE Access, 2024)

Perspectives on IoT-oriented network simulation systems. - Alberto Gallegos Ramonet; Tommaso Pecorella; Benedetta Picano; Kazuhiko Kinoshita (Comput. Networks, 2024)

An efficient tasks offloading procedure for an integrated edge-computing architecture. - Benedetta Picano; Romano Fantacci (J. Commun. Networks, 2024)

Edge Intelligent Computing Systems in Different Domains - Benedetta Picano; Romano Fantacci (Springer, 2024)

A Semantic-Oriented Federated Learning for Hybrid Ground-Aqua Computing Systems. - Benedetta Picano; Romano Fantacci (IEEE Internet Things J., 2024)

A Combined Stochastic Network Calculus and Matching Theory Approach for Computational Offloading in a Heterogenous MEC Environment. - Benedetta Picano; Romano Fantacci (IEEE Trans. Netw. Serv. Manag., 2024)

Age-Oriented Resource Allocation for IoT Computational Intensive Tasks in Edge Computing Systems. - Benedetta Picano; Enzo Mingozzi (IEEE Internet Things J., 2025)

OREO: A tool-supported approach for offline run-time monitoring and fault-error-failure chain localization. - Leonardo Scommegna; Benedetta Picano; Roberto Verdecchia; Enrico Vicario (J. Syst. Softw., 2025)

A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks. - Benedetta Picano; Dinh Thai Hoang; Diep N. Nguyen (IEEE Open J. Commun. Soc., 2025)