Alessandro Chiumento
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View article: Capacity and delay analysis of multi-hop wireless networks
Capacity and delay analysis of multi-hop wireless networks Open
View article: Comprehensive mm-Wave FMCW Radar Datasetfor Vital Sign Monitoring: Embracing ExtremePhysiological Scenarios
Comprehensive mm-Wave FMCW Radar Datasetfor Vital Sign Monitoring: Embracing ExtremePhysiological Scenarios Open
Recent advancements in non-invasive health mon-itoring technologies underscore the potential of mm-WaveFrequency-Modulated Continuous Wave (FMCW) radar in real-time vital sign detection. This paper introduces a novel dataset,the first of i…
View article: Comprehensive mm-Wave FMCW Radar Dataset for Vital Sign Monitoring: Embracing Extreme Physiological Scenarios
Comprehensive mm-Wave FMCW Radar Dataset for Vital Sign Monitoring: Embracing Extreme Physiological Scenarios Open
Recent advancements in non-invasive health monitoring technologies underscore the potential of mm-Wave Frequency-Modulated Continuous Wave (FMCW) radar in real-time vital sign detection. This paper introduces a novel dataset, the first of …
View article: Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology
Non-Invasive Monitoring of Vital Signs in Calves Using Thermal Imaging Technology Open
This study presents a non-invasive method using thermal imaging to estimate heart and respiration rates in calves, avoiding the stress from wearables. Using Kernelised Correlation Filters (KCF) for movement tracking and advanced signal pro…
View article: RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar
RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar Open
Recognizing animal activities holds a crucial role in monitoring animals' health and well-being. Additionally, a considerable audience is keen on monitoring their pets' well-being and health status. Insight into animals' habitual activitie…
View article: Height-Adaptive Human Gait Model Through Radar-Driven Pipeline With Two Co-Located mmWave MIMO Radars
Height-Adaptive Human Gait Model Through Radar-Driven Pipeline With Two Co-Located mmWave MIMO Radars Open
In this paper, a methodology for developing a human walking model adapted to the individual measured by radar was proposed. The fundamental parameters used in the model are the gait parameters and physical dimensions. Empirical validation …
View article: RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar
RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar Open
Recognizing animal activities (AAR) holds a crucial role in monitoring animals’ health and well-being. Additionally, a considerable audience is keen on monitoring their pets’ well-being and health status. Insight into animals’ habitual act…
View article: Airborne Integrated Access and Backhaul Systems: Learning-Aided Modeling and Optimization
Airborne Integrated Access and Backhaul Systems: Learning-Aided Modeling and Optimization Open
The deployment of millimeter-wave (mmWave) 5G New Radio (NR) networks is hampered by the properties of the mmWave band, such as severe signal attenuation and dynamic link blockage, which together limit the cell range. To provide a cost-eff…
View article: Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies
Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies Open
View article: Channel State Information for Human Activity Recognition with Low Sampling Rates
Channel State Information for Human Activity Recognition with Low Sampling Rates Open
In this paper, it is shown that lower transmission/sampling rates can be used in human activity recognition using channel state information (F 1 -scores > 85%) and that extremely high sampling rates are unnecessary once the system has been…
View article: Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices
Exploiting Multimode Antennas for MIMO and AoA Estimation in Size-Constrained IoT Devices Open
This work proposes compact multimode Multiple-Input–Multiple-Output (MIMO) antennas for Angle of Arrival (AoA) estimation in miniaturized Internet of Things (IoT) systems. The method excites different orthogonal radiating modes (TM 21 , TM…
View article: AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions
AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions Open
Wireless IoT networks have seen an unprecedented rise in number of devices, heterogeneity and emerging use cases which led to diverse throughput, reliability and latency (Quality of Service) requirements. Fulfilling these diverse requireme…
View article: Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space Open
Millions of battery-powered sensors deployed for monitoring purposes in a multitude of scenarios, e.g., agriculture, smart cities, industry, etc., require energy-efficient solutions to prolong their lifetime. When these sensors observe a p…
View article: Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks
Aerial Vehicles Tracking Using Noncoherent Crowdsourced Wireless Networks Open
Air traffic management (ATM) of manned and unmanned aerial vehicles (AVs) relies critically on ubiquitous location tracking. While technologies exist for AVs to broadcast their location periodically and for airports to track and detect AVs…
View article: Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs
Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs Open
Spectrum allocation in the form of primary channel and bandwidth selection is a key factor for dynamic channel bonding (DCB) wireless local area networks (WLANs). To cope with varying environments, where networks change their configuration…
View article: Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs
Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs Open
Comunicació presentada a 2021 Wireless Days (WD), celebrat del 30 de juny al 2 de juliol de 2021 a París, França.
View article: Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs
Stateless Reinforcement Learning for Multi-Agent Systems: the Case of Spectrum Allocation in Dynamic Channel Bonding WLANs Open
Spectrum allocation in the form of primary channel and bandwidth selection is a key factor for dynamic channel bonding (DCB) wireless local area networks (WLANs). To cope with varying environments, where networks change their configuration…
View article: CHIIoT 2: 2nd Workshop on Computer Human Interaction in IoT Applications
CHIIoT 2: 2nd Workshop on Computer Human Interaction in IoT Applications Open
The CHIIoT workshop series brings together researchers and practitioners from human-computer interaction (HCI) design, computer science, and electrical engineering working on new challenges in industry and academia. In EICS 2021, This work…
View article: A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction
A Sensitivity Analysis on the Potential of 5G Channel Quality Prediction Open
With increasing network complexity, intelligent mechanisms to efficiently achieve the required quality of service of wireless-enabled applications are being developed, especially for industrial environments due to the onset of the fourth i…
View article: Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification
Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification Open
Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications. A promising alternative is to use fog and edge computing, which address the issue o…
View article: Multi-Armed Bandits for Spectrum Allocation in Multi-Agent Channel Bonding WLANs
Multi-Armed Bandits for Spectrum Allocation in Multi-Agent Channel Bonding WLANs Open
While dynamic channel bonding (DCB) is proven to boost the capacity of wireless local
\narea networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied to the
\nprimary and secondary channel selection. Unfortu…
View article: CHIIoT: 1st Workshop on Computer Human Interaction in IoT Applications.
CHIIoT: 1st Workshop on Computer Human Interaction in IoT Applications. Open
The CHIIoT workshops bring together researchers and practitioners from industrial design, computer science, and electrical engineering working on new challenges in industry and academia. The workshop will provide a platform for participant…
View article: Partial Interference Suppression in Massive MIMO Systems: Taxonomy and Experimental Analysis
Partial Interference Suppression in Massive MIMO Systems: Taxonomy and Experimental Analysis Open
Densely deploying Massive MIMO access points results eventually in cell-free systems. To achieve scalability, users should be allocated only to neighbouring access points as it is not realistic to assume that all access points serve all us…
View article: Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning
Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning Open
This paper introduces a general approach to design a tailored solution to detect rare events in different industrial applications based on Internet of Things (IoT) networks and machine learning algorithms. We propose a general framework ba…
View article: Three-layer Approach to Detect Anomalies in Industrial Environments\n based on Machine Learning
Three-layer Approach to Detect Anomalies in Industrial Environments\n based on Machine Learning Open
This paper introduces a general approach to design a tailored solution to\ndetect rare events in different industrial applications based on Internet of\nThings (IoT) networks and machine learning algorithms. We propose a general\nframework…
View article: Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to Information Redundancy
Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to Information Redundancy Open
In this work an iterative solution to build a network lifetime-preserving sampling strategy for WSNs is presented. The paper describes the necessary steps to reconstruct a graph from application data. Once the graph structure is obtained, …
View article: Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to\n Information Redundancy
Energy Efficient WSN: a Cross-layer Graph Signal Processing Solution to\n Information Redundancy Open
In this work an iterative solution to build a network lifetime-preserving\nsampling strategy for WSNs is presented. The paper describes the necessary\nsteps to reconstruct a graph from application data. Once the graph structure is\nobtaine…
View article: SDN On BLE: Controlling Resource Constrained Mesh Networks
SDN On BLE: Controlling Resource Constrained Mesh Networks Open
Wireless connectivity for the Internet of Things (IoT) requires combining low latency and high reliability with power and cost constraints. On top of that, diverse applications and end-to-end services with very different performance requir…
View article: Efficient Spectrum Usage for Wireless Communications
Efficient Spectrum Usage for Wireless Communications Open
View article: Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones
Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones Open
The use of amateur drones (ADrs) is expected to significantly increase over\nthe upcoming years. However, regulations do not allow such drones to fly over\nall areas, in addition to typical altitude limitations. As a result, there is\nan u…