Paolo Dini

Orcid: 0000-0001-6756-0289

According to our database1, Paolo Dini authored at least 102 papers between 1999 and 2024.

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Bibliography

2024
To Compute or Not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing.
IEEE Trans. Netw. Sci. Eng., 2024

Knowledge Transfer for Collaborative Misbehavior Detection in Untrusted Vehicular Environments.
CoRR, 2024

The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies.
Comput. Networks, 2024

Energy-Aware Decentralized Learning with Intermittent Model Training.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
The Cost of Training Machine Learning Models Over Distributed Data Sources.
IEEE Open J. Commun. Soc., 2023

Mobile Traffic Prediction at the Edge through Distributed and Transfer Learning.
CoRR, 2023

Tutorial on the Executable ASM Specification of the AB Protocol and Comparison with TLA<sup>+</sup>.
CoRR, 2023

On the Decentralization of Blockchain-enabled Asynchronous Federated Learning.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

Fully Decentralized Client Selection for Energy-Efficient Federated Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Urban Traffic Forecasting using Federated and Continual Learning.
Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022
Energy Optimization With Multi-Sleeping Control in 5G Heterogeneous Networks Using Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

Traffic Anomaly Detection Using Deep Semi-Supervised Learning at the Mobile Edge.
IEEE Trans. Veh. Technol., 2022

End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications.
IEEE Commun. Lett., 2022

How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources?
CoRR, 2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs.
CoRR, 2022

Analysis and evaluation of synchronous and asynchronous FLchain.
Comput. Networks, 2022

Misbehavior Detection in Vehicular Networks: An Ensemble Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Deep Reinforcement Learning for Autonomous Mobile Networks in Micro-grids.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Distributed Deep Reinforcement Learning for Functional Split Control in Energy Harvesting Virtualized Small Cells.
IEEE Trans. Sustain. Comput., 2021

Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach.
IEEE Trans. Netw. Serv. Manag., 2021

Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users.
IEEE Trans. Netw. Serv. Manag., 2021

Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach.
IEEE Trans. Green Commun. Netw., 2021

Blockchain-enabled Server-less Federated Learning.
CoRR, 2021

Distributed and Multi-Task Learning at the Edge for Energy Efficient Radio Access Networks.
IEEE Access, 2021

Sustainable Marine Ecosystems: Deep Learning for Water Quality Assessment and Forecasting.
IEEE Access, 2021

Multi-Task Learning for Efficient Management of Beyond 5G Radio Access Network Architectures.
IEEE Access, 2021

User mobility inference and clustering through LTE PDCCH data analysis.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

A Semi-supervised Method to Identify Urban Anomalies through LTE PDCCH Fingerprinting.
Proceedings of the ICC 2021, 2021

2020
Wake-Up Scheduling for Energy-Efficient Mobile Devices.
IEEE Trans. Wirel. Commun., 2020

Multi-Task Learning at the Mobile Edge: An Effective Way to Combine Traffic Classification and Prediction.
IEEE Trans. Veh. Technol., 2020

Coordinated Load Control of Renewable Powered Small Base Stations Through Layered Learning.
IEEE Trans. Green Commun. Netw., 2020

Wake-Up Radio Based Access in 5G Under Delay Constraints: Modeling and Optimization.
IEEE Trans. Commun., 2020

Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Towards an Optimal Management of the 5G Cloud-RAN through a Spatio-Temporal Prediction of Users' Dynamics.
Proceedings of the Mediterranean Communication and Computer Networking Conference, 2020

A Softwarized Service Infrastructure for the Dynamic Orchestration of IT Resources in 5G Deployments.
Proceedings of the 22nd International Conference on Transparent Optical Networks, 2020

Proactive Wake-up Scheduler based on Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Reinforcement Learning for Delay-Constrained Energy-Aware Small Cells with Multi-Sleeping Control.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach.
CoRR, 2019

Dynamic control of functional splits for energy harvesting virtual small cells: A distributed reinforcement learning approach.
Comput. Commun., 2019

Detecting Mobile Traffic Anomalies Through Physical Control Channel Fingerprinting: A Deep Semi-Supervised Approach.
IEEE Access, 2019

Joint Load Control and Energy Sharing for Autonomous Operation of 5G Mobile Networks in Micro-Grids.
IEEE Access, 2019

Unveiling Radio Resource Utilization Dynamics of Mobile Traffic through Unsupervised Learning.
Proceedings of the Network Traffic Measurement and Analysis Conference, 2019

Urban Anomaly Detection by processing Mobile Traffic Traces with LSTM Neural Networks.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Optimized Wake-Up Scheme with Bounded Delay for Energy-Efficient MTC.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Philosophy of Computation.
Proceedings of the Computational Matter, 2018

BIOMICS: a Theory of Interaction Computing.
Proceedings of the Computational Matter, 2018

Optimal direct load control of renewable powered small cells: A shortest path approach.
Internet Technol. Lett., 2018

Energy sustainable paradigms and methods for future mobile networks: A survey.
Comput. Commun., 2018

Optimal direct load control of renewable powered small cells: Performance evaluation and bounds.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Layered Learning Radio Resource Management for Energy Harvesting Small Base Stations.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Mobile Traffic Prediction from Raw Data Using LSTM Networks.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

Dynamic Functional Split Selection in Energy Harvesting Virtual Small Cells Using Temporal Difference Learning.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

Unsupervised Learning of Representations from Solar Energy Data.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017
Softwarization and Optimization for Sustainable Future Mobile Networks: A Survey.
IEEE Access, 2017

Switch-On/Off Policies for Energy Harvesting Small Cells through Distributed Q-Learning.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference Workshops, 2017

Analysis and modeling of mobile traffic using real traces.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016
Backhaul Routing and Base Station Sleep Mode Engagement in Energy Harvesting Cellular Networks.
Proceedings of the 19th ACM International Conference on Modeling, 2016

2015
When telecommunications networks meet energy grids: cellular networks with energy harvesting and trading capabilities.
IEEE Commun. Mag., 2015

Distributed Q-learning for energy harvesting Heterogeneous Networks.
Proceedings of the IEEE International Conference on Communication, 2015

Multi-criteria decision for small cell switch off in ultra-dense LTE networks.
Proceedings of the 13th International Conference on Telecommunications, 2015

Fuzzy multiple criteria switch off method for dense heterogeneous networks.
Proceedings of the 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, 2015

2014
An overlay and distributed approach to node mobility in multi-access wireless networks.
Wirel. Networks, 2014

2013
HetNets Powered by Renewable Energy Sources: Sustainable Next-Generation Cellular Networks.
IEEE Internet Comput., 2013

SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes.
CoRR, 2013

Exploring the concept of interaction computing through the discrete algebraic analysis of the Belousov-Zhabotinsky reaction.
Biosyst., 2013

Inter-packet encoding to minimize data block transfer delay in multipath communications.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

A Model to Analyze the Energy Savings of Base Station Sleep Mode in LTE HetNets.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012
BIOMICS Project: Biological and Mathematical Basis of Interaction Computing.
Int. J. Unconv. Comput., 2012

Algebraic Analysis of the Computation in the Belousov-Zhabotinksy Reaction.
Proceedings of the Information Processign in Cells and Tissues, 2012

A Cognitive scheme for Radio Admission Control in LTE systems.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

A Neural Network based cognitive engine for IEEE 802.11 WLAN Access Point selection.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

2011
A supervised learning approach to cognitive access point selection.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

Small cells, wireless backhaul and renewable energy: a solution for disaster aftermath communications.
Proceedings of the CogART 2011, 2011

2010
A reconfigurable test platform to experiment with wireless heterogeneous networks in a laboratory.
Int. J. Commun. Networks Distributed Syst., 2010

Interworking Scheme Using Optimized SIP Mobility for MultiHomed Mobile Nodes in Wireless Heterogeneous Networks.
Proceedings of the 71st IEEE Vehicular Technology Conference, 2010

Validation of the IEEE 802.11 MAC model in the ns3 simulator using the EXTREME testbed.
Proceedings of the 3rd International Conference on Simulation Tools and Techniques, 2010

Lie Group Analysis of a p53-mdm2 ODE Model.
Proceedings of the Digital Ecosystems - Third International Conference, 2010

Transformation Semigroups as Constructive Dynamical Spaces.
Proceedings of the Digital Ecosystems - Third International Conference, 2010

A Research Framework for Interaction Computing.
Proceedings of the Digital Ecosystems - Third International Conference, 2010

Towards Autopoietic Computing.
Proceedings of the Digital Ecosystems - Third International Conference, 2010

Distributed Call Admission Control for VoIP over 802.11 WLANs Based on Channel Load Estimation.
Proceedings of IEEE International Conference on Communications, 2010

User-driven Call Admission Control for VoIP over WLAN with a Neural Network based cognitive engine.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
A real-time cellular system architecture to experiment with UMTS/HSDPA in a laboratory.
Proceedings of the 5th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2009

Distributed online evolution: An algebraic problem?
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

BIONETS Economics and Business Simulation: An Alternative Approach to Quantifying the Added Value for Distributed Mobile Communications and Exchanges.
Proceedings of the Bioinspired Models of Network, Information, and Computing Systems, 2009

2008
Governing diversity in the digital ecosystem.
Commun. ACM, 2008

A reconfigurable framework for experimental analysis of single and multi hop WLANs.
Proceedings of the 9th IEEE International Symposium on a World of Wireless, 2008

2007
A Quality of Service Support Module (QASM) for a Wireless Multi-Segment Integrated 3G Network.
Wirel. Pers. Commun., 2007

2006
Service Evolution in Bio-Inspired Communication Systems.
Int. Trans. Syst. Sci. Appl., 2006

The challenge of building public technology infrastructure: issues of governance and sustainability in a digital business ecosystem.
Proceedings of the Fourteenth European Conference on Information Systems, 2006

2005
Connection Admission Control Issues for a CDMA Return Link in the Aeronautical Broadband Communication System.
Proceedings of the IEEE 16th International Symposium on Personal, 2005

Resource Allocation Policies for QoS Guarantee Service Provision over a CDMA Satellite Return Link in the Aircraft Broadband Communication System.
Proceedings of the 2nd IEEE International Symposium on Wireless Communication Systems, 2005

A Fuzzy Logic Approach to Solve Call Admission Control Issues in CDMA Systems.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2004
Pervasive Service Architecture for a Digital Business Ecosystem
CoRR, 2004

Design and performance evaluation of packet scheduler algorithms for video traffic in the high speed downlink packet access.
Proceedings of the IEEE 15th International Symposium on Personal, 2004

A call admission control strategy based on fuzzy logic for WCDMA systems.
Proceedings of IEEE International Conference on Communications, 2004

1999
Computer Architecture for the Mobile Worker.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999


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