Claudio Fiandrino
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View article: Twinning Commercial Network Traces on Experimental Open RAN Platforms
Twinning Commercial Network Traces on Experimental Open RAN Platforms Open
While the availability of large datasets has been instrumental to advance\nfields like computer vision and natural language processing, this has not been\nthe case in mobile networking. Indeed, mobile traffic data is often unavailable\ndue…
View article: waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing
waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing Open
This paper presents the design, implementation and evaluation of waveSLAM, a low-cost mobile robot system that uses the millimetre wave (mmWave) communication devices to enhance the indoor mapping process targeting environments with reduce…
View article: TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data Open
Traditionally PT demand estimation relies on manual survey-based or, where available, smartcard passenger data. However, transport service providers and authorities make it rarely available to researchers. An additional challenge is the va…
View article: EXPLORA: AI/ML EXPLainability for the Open RAN
EXPLORA: AI/ML EXPLainability for the Open RAN Open
The Open Radio Access Network (RAN) paradigm is transforming cellular networks into a system of disaggregated, virtualized, and software-based components. These self-optimize the network through programmable, closed-loop control, leveragin…
View article: Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens Open
The ability to forecast mobile traffic patterns is key to resource management for mobile network operators and planning for local authorities. Several Deep Neural Networks (DNN) have been designed to capture the complex spatiotemporal char…
View article: Mid-Band 5G: A Measurement Study in Europe and US
Mid-Band 5G: A Measurement Study in Europe and US Open
Fifth Generation (5G) mobile networks mark a significant shift from previous generations of networks. By introducing a flexible design, 5G networks support highly diverse application requirements. Currently, the landscape of previous measu…
View article: waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing
waveSLAM: Empowering Accurate Indoor Mapping Using Off-the-Shelf Millimeter-wave Self-sensing Open
This paper presents the design, implementation and evaluation of waveSLAM, a low-cost mobile robot system that uses the millimetre wave (mmWave) communication devices to enhance the indoor mapping process targeting environments with reduce…
View article: Handling Data Handoff of AI-Based Applications in Edge Computing Systems
Handling Data Handoff of AI-Based Applications in Edge Computing Systems Open
Edge computing aims at better supporting low-latency applications. One of its key techniques is computation offloading, the process that outsources computing tasks from resourced-constrained mobile devices and moves them to edge data cente…
View article: TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data Open
Traditionally Public Transport (PT) demand estimation relies on manual survey-based or, where available, smartcard passenger data. However, even if these are precious data for researchers, providers and municipalities make it rarely availa…
View article: Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens Open
The ability to forecast mobile traffic patterns is key to resource management for mobile network operators and planning for local authorities. Several Deep Neural Networks (DNN) have been designed to capture the complex spatiotemporal char…
View article: Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis
Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis Open
Achieving extremely high-quality and truly immersive interactive Virtual Reality (VR) is expected to require a wireless link to the cloud, providing multi-gigabit throughput and extremely low latency. A prime candidate for fulfilling these…
View article: Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead
Toward Native Explainable and Robust AI in 6G Networks: Current State, Challenges and Road Ahead Open
6G networks are expected to face the daunting task of providing support to a set of extremely diverse services, each more demanding than those of previous generation networks (e.g., holographic communications, unmanned mobility, etc.), whi…
View article: Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks
Traffic-Driven Sounding Reference Signal Resource Allocation in (Beyond) 5G Networks Open
Beyond 5G mobile networks have to support a wide range of performance requirements and unprecedented levels of flexibility. To this end, massive MIMO is a critical technology to improve spectral efficiency and thus scale up network capacit…
View article: The Impact of SARS-COVID-19 Outbreak on European Cities Urban Mobility
The Impact of SARS-COVID-19 Outbreak on European Cities Urban Mobility Open
The global outbreak of the SARS-COVID-19 pandemic has changed our lives, driving an unprecedented transformation of our habits. In response, the authorities have enforced several measures, including social distancing and travel restriction…
View article: A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks
A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks Open
5G and beyond are not only sophisticated and difficult to manage, but must also satisfy a wide range of stringent performance requirements and adapt quickly to changes in traffic and network state. Advances in machine learning and parallel…
View article: CrowdSenSim 2.0
CrowdSenSim 2.0 Open
Mobile crowdsensing (MCS) has become a popular paradigm for data collection in urban environments. In MCS systems, a crowd supplies sensing information for monitoring phenomena through mobile devices. Typically, a large number of participa…
View article: Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments
Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments Open
Millimeter-wave (mmWave) communications have emerged as one of the most promising options to vastly increase wireless data rates due to the high bandwidth they offer. Given the high path loss at mmWave frequencies, such systems require dir…
View article: pDCell
pDCell Open
To deal with increasingly demanding services and the rapid growth in number of devices and traffic, 5G and beyond mobile networks need to provide extreme capacity and peak data rates at very low latencies. Consequently, applications and se…
View article: A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities Open
Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing. For data collection, MCS systems rely on contribution from mobile devices of a large number of participants …
View article: Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing
Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing Open
Wearable devices have become essential in our daily activities. Due to battery constraints, the use of computing, communication, and storage resources is limited. Mobile cloud computing (MCC) and the recently emerged fog computing (FC) par…
View article: OpenLEON
OpenLEON Open
To support next generation services, 5G mobile network architectures are increasingly adopting emerging technlogies like software-defined networking (SDN) and network function virtualization (NFV). Core and radio access functionalities are…
View article: Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications
Profiling Energy Efficiency of Mobile Crowdsensing Data Collection Frameworks for Smart City Applications Open
Mobile crowdsensing (MCS) has emerged in the last years and has become one of the most prominent paradigms for urban sensing. In MCS, citizens actively participate in the sensing process by contributing data with their smartphones, tablets…
View article: Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things
Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things Open
In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and tr…
View article: A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures
A Cost-Effective Distributed Framework for Data Collection in Cloud-Based Mobile Crowd Sensing Architectures Open
Mobile crowd sensing received significant attention in the recent years and has become a popular paradigm for sensing. It operates relying on the rich set of built-in sensors equipped in mobile devices, such as smartphones, tablets, and we…
View article: CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments
CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments Open
Smart cities take advantage of recent Information and Communication Technology (ICT) developments to provide added value to existing public services and improve quality of life for the citizens. The Internet of Things (IoT) paradigm makes …
View article: Energy-efficient Communications in Cloud, Mobile Cloud and Fog Computing
Energy-efficient Communications in Cloud, Mobile Cloud and Fog Computing Open
This thesis studies the problem of energy efficiency of communications in distributed computing paradigms, including cloud computing, mobile cloud computing and fog/edge computing. Distributed computing paradigms have significantly changed…