NC-CELL: Network coding-based content distribution in cellular networks for cloud applications. - Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Albert Y. Zomaya (GLOBECOM, 2014)

Performance Metrics for Data Center Communication Systems. - Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Albert Y. Zomaya (CLOUD, 2015)

Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing. - Claudio Ragona; Fabrizio Granelli; Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry (GLOBECOM, 2015)

Network-assisted offloading for mobile cloud applications. - Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Albert Y. Zomaya (ICC, 2015)

Assessing Performance of Internet of Things-Based Mobile Crowdsensing Systems for Sensing as a Service Applications in Smart Cities. - Andrea Capponi; Claudio Fiandrino; Christian Franck; Ulrich K. Sorger; Dzmitry Kliazovich; Pascal Bouvry (CloudCom, 2016)

Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms. - Andrea Sciarrone; Claudio Fiandrino; Igor Bisio; Fabio Lavagetto; Dzmitry Kliazovich; Pascal Bouvry (CloudNet, 2016)

Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms. - Claudio Fiandrino; Burak Kantarci; Fazel Anjomshoa; Dzmitry Kliazovich; Pascal Bouvry; Jeanna N. Matthews (GLOBECOM, 2016)

Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications. - Maryam Pouryazdan; Claudio Fiandrino; Burak Kantarci; Dzmitry Kliazovich; Tolga Soyata; Pascal Bouvry (GLOBECOM Workshops, 2016)

Network coding-based content distribution in cellular access networks. - Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Albert Y. Zomaya (ICC, 2016)

Power comparison of cloud data center architectures. - Pietro Ruiu; Andrea Bianco; Claudio Fiandrino; Paolo Giaccone; Dzmitry Kliazovich (ICC, 2016)

Enriching Remote Control Applications with Fog Computing. - Claudio Fiandrino; Paolo Giaccone; Ahsan Mahmood; Luca Maioli (CISIS, 2017)

Cost analysis of smart lighting solutions for smart cities. - Giuseppe Cacciatore; Claudio Fiandrino; Dzmitry Kliazovich; Fabrizio Granelli; Pascal Bouvry (ICC, 2017)

Energy efficient data collection in opportunistic mobile crowdsensing architectures for smart cities. - Andrea Capponi; Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry (INFOCOM Workshops, 2017)

CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. - Claudio Fiandrino; Andrea Capponi; Giuseppe Cacciatore; Dzmitry Kliazovich; Ulrich Sorger; Pascal Bouvry; Burak Kantarci; Fabrizio Granelli; Stefano Giordano (IEEE Access, 2017)

Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things. - Maryam Pouryazdan; Claudio Fiandrino; Burak Kantarci; Tolga Soyata; Dzmitry Kliazovich; Pascal Bouvry (IEEE Access, 2017)

Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers. - Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Albert Y. Zomaya (IEEE Trans. Cloud Comput., 2017)

A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures. - Andrea Capponi; Claudio Fiandrino; Dzmitry Kliazovich; Pascal Bouvry; Stefano Giordano (IEEE Trans. Sustain. Comput., 2017)

Sociability-Driven Framework for Data Acquisition in Mobile Crowdsensing Over Fog Computing Platforms for Smart Cities. - Claudio Fiandrino; Fazel Anjomshoa; Burak Kantarci; Dzmitry Kliazovich; Pascal Bouvry; Jeanna Neefe Matthews (IEEE Trans. Sustain. Comput., 2017)

On the Energy-Proportionality of Data Center Networks. - Pietro Ruiu; Claudio Fiandrino; Paolo Giaccone; Andrea Bianco; Dzmitry Kliazovich; Pascal Bouvry (IEEE Trans. Sustain. Comput., 2017)

Collaborative Data Delivery for Smart City-Oriented Mobile Crowdsensing Systems. - Piergiorgio Vitello; Andrea Capponi; Claudio Fiandrino; Paolo Giaccone; Dzmitry Kliazovich; Ulrich Sorger; Pascal Bouvry (GLOBECOM, 2018)

High-Precision Design of Pedestrian Mobility for Smart City Simulators. - Piergiorgio Vitello; Andrea Capponi; Claudio Fiandrino; Paolo Giaccone; Dzmitry Kliazovich; Pascal Bouvry (ICC, 2018)

OpenLEON: An End-to-End Emulator from the Edge Data Center to the Mobile Users. - Carlos Andrés Ramiro; Claudio Fiandrino; Alejandro Blanco Pizarro; Pablo Jiménez Mateo; Norbert Ludant; Joerg Widmer (WiNTECH, 2018)

Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications. - Mattia Tomasoni; Andrea Capponi; Claudio Fiandrino; Dzmitry Kliazovich; Fabrizio Granelli; Pascal Bouvry (MobileCloud, 2018)

Why energy matters? Profiling energy consumption of mobile crowdsensing data collection frameworks. - Mattia Tomasoni; Andrea Capponi; Claudio Fiandrino; Dzmitry Kliazovich; Fabrizio Granelli; Pascal Bouvry (Pervasive Mob. Comput., 2018)

The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments. - Piergiorgio Vitello; Andrea Capponi; Claudio Fiandrino; Guido Cantelmo; Dzmitry Kliazovich (GLOBECOM, 2019)

Analysis of TCP Performance in 5G mm-Wave Mobile Networks. - Pablo Jiménez Mateo; Claudio Fiandrino; Joerg Widmer (ICC, 2019)

pDCell: an end-to-end transport protocol for mobile edge computing architectures. - Claudio Fiandrino; Antonio de la Oliva; Joerg Widmer; Kirill Kogan (ICDCN, 2019)

Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities. - Andrea Capponi; Piergiorgio Vitello; Claudio Fiandrino; Guido Cantelmo; Dzmitry Kliazovich; Ulrich Sorger; Pascal Bouvry (ISCC, 2019)

CrowdSenSim 2.0: a Stateful Simulation Platform for Mobile Crowdsensing in Smart Cities. - Federico Montori; Emanuele Cortesi; Luca Bedogni; Andrea Capponi; Claudio Fiandrino; Luciano Bononi (MSWiM, 2019)

Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing. - Claudio Fiandrino; Nicholas Allio; Dzmitry Kliazovich; Paolo Giaccone; Pascal Bouvry (IEEE Access, 2019)

openLEON: An end-to-end emulation platform from the edge data center to the mobile user. - Claudio Fiandrino; Alejandro Blanco Pizarro; Pablo Jiménez Mateo; Carlos Andrés Ramiro; Norbert Ludant; Joerg Widmer (Comput. Commun., 2019)

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. - Andrea Capponi; Claudio Fiandrino; Burak Kantarci; Luca Foschini 001; Dzmitry Kliazovich; Pascal Bouvry (IEEE Commun. Surv. Tutorials, 2019)

Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments. - Claudio Fiandrino; Hany Assasa; Paolo Casari; Joerg Widmer (Proc. IEEE, 2019)

The CORONA business in modern cities: poster abstract. - Piergiorgio Vitello; Andrea Capponi; Pol Klopp; Richard D. Connors; Francesco Viti; Claudio Fiandrino (SenSys, 2020)

Event-Based Vision: Understanding Network Traffic Characteristics. - Giulia Attanasio; Claudio Fiandrino; Joerg Widmer (WoWMoM, 2020)

A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks. - Claudio Fiandrino; Chaoyun Zhang; Paul Patras; Albert Banchs; Joerg Widmer (IEEE Commun. Mag., 2020)

Performance evaluation of hybrid crowdsensing systems with stateful CrowdSenSim 2.0 simulator. - Federico Montori; Luca Bedogni; Claudio Fiandrino; Andrea Capponi; Luciano Bononi (Comput. Commun., 2020)

On the Efficiency of Service and Data Handoff Protocols in Edge Computing Systems. - Domenico Scotece; Claudio Fiandrino; Luca Foschini 001 (GLOBECOM, 2021)

Characterizing RNTI Allocation and Management in Mobile Networks. - Giulia Attanasio; Claudio Fiandrino; Marco Fiore 001; Joerg Widmer (MSWiM, 2021)

OctoMap: Supporting Service Function Chaining via Supervised Learning and Online Contextual Bandit. - Aziza Alzadjali; Maria Mushtaq; Flavio Esposito; Claudio Fiandrino; Jitender S. Deogun (NetSoft, 2021)

Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks. - Claudio Fiandrino; Giulia Attanasio; Marco Fiore 001; Joerg Widmer (SECON, 2021)

On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey. - Zhiyan Chen; Claudio Fiandrino; Burak Kantarci (J. Syst. Archit., 2021)

A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics. - Domenico Scotece; Claudio Fiandrino; Luca Foschini 001 (GLOBECOM, 2022)

Experimenting with localization management functions in 5G core networks. - Andrea Pinto; Giuseppe Santaromita; Claudio Fiandrino; Domenico Giustiniano; Flavio Esposito (MobiCom, 2022)

Uncovering 5G Performance on Public Transit Systems with an App-based Measurement Study. - Claudio Fiandrino; David Juárez Martínez-Villanueva; Joerg Widmer (MSWiM, 2022)

Characterizing Location Management Function Performance in 5G Core Networks. - Andrea Pinto; Giuseppe Santaromita; Claudio Fiandrino; Domenico Giustiniano; Flavio Esposito (NFV-SDN, 2022)

Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis. - Jakob Struye; Hemanth Kumar Ravuri; Hany Assasa; Claudio Fiandrino; Filip Lemic; Joerg Widmer; Jeroen Famaey; Maria Torres Vega (NoF, 2022)

In-depth study of RNTI management in mobile networks: Allocation strategies and implications on data trace analysis. - Giulia Attanasio; Claudio Fiandrino; Marco Fiore 001; Joerg Widmer; Norbert Ludant; Bastian Bloessl; Konstantinos Kousias; Özgü Alay; Lise Jacquot; Razvan Stanica (Comput. Networks, 2022)

Toward native explainable and robust AI in 6G networks: Current state, challenges and road ahead. - Claudio Fiandrino; Giulia Attanasio; Marco Fiore 001; Joerg Widmer (Comput. Commun., 2022)

A mobility-based deployment strategy for edge data centers. - Michele Girolami; Piergiorgio Vitello; Andrea Capponi; Claudio Fiandrino; Luca Foschini 001; Paolo Bellavista (J. Parallel Distributed Comput., 2022)

Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments. - Piergiorgio Vitello; Andrea Capponi; Claudio Fiandrino; Guido Cantelmo; Dzmitry Kliazovich (IEEE Trans. Sustain. Comput., 2022)

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens. - Serly Moghadas; Claudio Fiandrino; Alan Collet; Giulia Attanasio; Marco Fiore 001; Joerg Widmer (INFOCOM, 2023)

Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level. - Pablo Fernández Pérez; Claudio Fiandrino; Joerg Widmer (WiNTECH, 2023)

waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing. - Pablo Picazo; Milan Groshev; Alejandro Blanco; Claudio Fiandrino; Antonio de la Oliva; Joerg Widmer (VTC Fall, 2023)

Mid-Band 5G: A Measurement Study in Europe and US. - Rostand A. K. Fezeu; Jason Carpenter; Claudio Fiandrino; Eman Ramadan; Wei Ye 009; Joerg Widmer; Feng Qian 001; Zhi-Li Zhang (CoRR, 2023)

EXPLORA: AI/ML EXPLainability for the Open RAN. - Claudio Fiandrino; Leonardo Bonati; Salvatore D'Oro; Michele Polese; Tommaso Melodia; Joerg Widmer (PACMNET, 2023)

A study on 5G performance and fast conditional handover for public transit systems. - Claudio Fiandrino; David Juárez Martínez-Villanueva; Joerg Widmer (Comput. Commun., 2023)

Handling Data Handoff of AI-Based Applications in Edge Computing Systems. - Domenico Scotece; Claudio Fiandrino; Luca Foschini 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities. - Rostand A. K. Fezeu; Claudio Fiandrino; Eman Ramadan; Jason Carpenter; Daqing Chen; Yiling Tan; Feng Qian 001; Joerg Widmer; Zhi-Li Zhang (INFOCOM, 2024)

AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks. - Claudio Fiandrino; Eloy Pérez Gómez; Pablo Fernández Pérez; Hossein Mohammadalizadeh; Marco Fiore 001; Joerg Widmer (INFOCOM, 2024)

Dissecting Advanced Time Series Forecasting Models with AICHRONOLENS. - Pablo Fernández Pérez; Claudio Fiandrino; Marco Fiore 001; Joerg Widmer (INFOCOM (Workshops), 2024)

An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN. - Pablo Fernández Pérez; Claudio Fiandrino; Marco Fiore 001; Joerg Widmer (INFOCOM (Workshops), 2024)

Twinning Commercial Network Traces on Experimental Open RAN Platforms. - Leonardo Bonati; Ravis Shirkhani; Claudio Fiandrino; Stefano Maxenti; Salvatore D'Oro; Michele Polese; Tommaso Melodia (MobiCom, 2024)

How Mature is 5G Deployment? A Cross-Sectional, Year-Long Study of 5G Uplink Performance. - Imran Khan; Moinak Ghoshal; Joana Angjo; Sigrid Dimce; Mushahid Hussain; Paniz Parastar; Yenchia Yu; Claudio Fiandrino; Charalampos Orfanidis; Shivang Aggarwal; Ana C. Aguiar; Ozgu Alay; et al. (IFIP Networking, 2024)

Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE. - Rostand A. K. Fezeu; Claudio Fiandrino; Eman Ramadan; Jason Carpenter; Lilian Coelho de Freitas; Faaiq Bilal; Wei Ye 009; Joerg Widmer; Feng Qian 001; Zhi-Li Zhang (SIGCOMM, 2024)

SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks. - Abhishek Duttagupta; MohammadErfan Jabbari; Claudio Fiandrino; Marco Fiore 001; Joerg Widmer (INFOCOM, 2025)

ChronoProf: Profiling Time Series Forecasters and Classifiers in Mobile Networks with Explainable AI. - Pablo Fernández Pérez; Iñaki Bravo; Anirudh Kamath; Claudio Fiandrino; Joerg Widmer (WoWMoM, 2025)

Demo: Explaining Time Series Interactively with ChronoProf. - Pablo Fernández Pérez; Iñaki Bravo; Anirudh Kamath; Claudio Fiandrino; Joerg Widmer (WoWMoM, 2025)

How mature is 5G deployment? A cross-sectional, year-long study of 5G uplink performance. - Imran Khan; Moinak Ghoshal; Joana Angjo; Sigrid Dimce; Mushahid Hussain; Paniz Parastar; Yenchia Yu; Xueting Deng; Sumit Hawal; Shirui Huang; Ameya Rane; Yin Wang; et al. (Comput. Commun., 2025)

DeExp: Revealing Model Vulnerabilities for Spatio-Temporal Mobile Traffic Forecasting With Explainable AI. - Serly Moghadas; Claudio Fiandrino; Narseo Vallina-Rodriguez; Marco Fiore 001; Joerg Widmer (IEEE Trans. Mob. Comput., 2025)

AIChronoLens: AI/ML Explainability for Time Series Forecasting in Mobile Networks. - Pablo Fernández Pérez; Claudio Fiandrino; Eloy Pérez Gómez; Hossein Mohammadalizadeh; Marco Fiore 001; Joerg Widmer (IEEE Trans. Mob. Comput., 2025)