Roberto Verdone
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View article: TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance
TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance Open
The traditional black-box and monolithic approach to Radio Access Networks (RANs) has heavily limited flexibility and innovation. The Open RAN paradigm, and the architecture proposed by the O-RAN ALLIANCE, aim to address these limitations …
View article: Energy and Age-Aware MAC for Low-Power Massive IoT
Energy and Age-Aware MAC for Low-Power Massive IoT Open
Efficient multiple access remains a key challenge for emerging Internet of Things (IoT) networks comprising a large set of devices with sporadic activation, thus motivating significant research in the last few years. In this paper, we cons…
View article: Performance Analysis of Multi-Hop Networks at Terahertz Frequencies
Performance Analysis of Multi-Hop Networks at Terahertz Frequencies Open
The emergence of THz (Terahertz) frequency wireless networks holds great potential for advancing various high-demand services, including Industrial Internet of Things (IIoT) applications. These use cases benefit significantly from the ultr…
View article: Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search
Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search Open
The efficient operation of cellular networks requires precise tuning of configuration parameters such as the antenna downtilt or the transmit power. Data-driven methods, which can integrate feedback from monitoring data, are promising but …
View article: 5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study
5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study Open
In the ever-evolving landscape of industrial connectivity, significant strides have been made in the integration of 5th generation (5G) cellular technology with Industrial Internet of Things (IIoT) systems. At the same time, data-driven an…
View article: Research Directions and Modeling Guidelines for Industrial Internet of Things Applications
Research Directions and Modeling Guidelines for Industrial Internet of Things Applications Open
The Industrial Internet of Things (IIoT) paradigm has emerged as a transformative force, revolutionizing industrial processes by integrating advanced wireless technologies into traditional procedures to enhance their efficiency. The import…
View article: GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning Open
In the context of mobile and Internet of Things (IoT) networks, data naturally originates at the edge, making crowdsourcing a convenient and inherent approach to data collection. However, crowdsourcing presents challenges related to privac…
View article: A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications
A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications Open
The rapid expansion of connected and autonomous vehicles (CAVs) and the shift towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities to enhance road safety and traffic efficiency. Sidelink communication, enabling di…
View article: Flood Impact on Cellular Electromagnetic Propagation
Flood Impact on Cellular Electromagnetic Propagation Open
In May 2023 the Emilia Romagna Italian region was plagued by floods, submerging lands and cities for days. In those critical days a massive georeferenced user's cellular phone received power measurement campaign was activated on TIM (Telec…
View article: Global Communications Newsletter
Global Communications Newsletter Open
As the readers of Communications Magazine well know, the IEEE International Conference on Communications (ICC) stands the oldest, largest and most significant international conference in the field of telecommunications. ICC, together with …
View article: Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs Open
The ever-increasing demand for high-quality and heterogeneous wireless communication services has driven extensive research on dynamic optimization strategies in wireless networks. Among several possible approaches, multi-agent deep reinfo…
View article: A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT Open
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains. However, standard protocols for allocating wireless resources may n…
View article: GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning Open
In the context of mobile and Internet of Things (IoT) networks, data naturally originates at the edge, making crowdsourcing a convenient and inherent approach to data collection. However, crowdsourcing presents challenges related to privac…
View article: GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning Open
In the context of mobile and Internet of Things (IoT) networks, data naturally originates at the edge, making crowdsourcing a convenient and inherent approach to data collection. However, crowdsourcing presents challenges related to privac…
View article: An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks Open
Remaining Useful Life (RUL) prediction is a critical task that aims to estimate the amount of time until a system fails, where the latter is formed by three main components, that is, the application, communication network, and RUL logic. I…
View article: Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements Open
The advent of novel 5G services and applications with binding latency requirements and guaranteed Quality of Service (QoS) hastened the need to incorporate autonomous and proactive decision-making in network management procedures. The obje…
View article: Analytical Description of Access Probability and RRA strategy for UAV-Aided Vehicular Applications
Analytical Description of Access Probability and RRA strategy for UAV-Aided Vehicular Applications Open
In this paper we investigate a scenario where vehicles implement an augmented sensing application and exchange data through Unmanned Aerial Vehicles (UAVs) (a.k.a. drones). The UAVs carry Base Stations (BSs) using multiple antenna beams to…
View article: A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations Open
This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) Industrial Internet of Things (IIoT) networks. In this conte…
View article: Terahertz networks for future Industrial Internet of Things
Terahertz networks for future Industrial Internet of Things Open
Wireless technology is expected to become a fundamental enabler to improve the efficiency, safety, and revenues of advanced manufacturing processes, as well as to realize new paradigms such as digital twins. The extremely challenging indus…
View article: A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations Open
This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) Industrial Internet of Things (IIoT) networks. In this conte…
View article: Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Open
Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G. One of the major challenges affecting the performance and efficiency of 6G wireless FL …
View article: Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach Open
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as the Radio Access Network (RAN) is concerned, centralized pre-…
View article: Introduction
Introduction Open
Mobile Communications are exponentially evolving to allow any electronic device wirelessly to connect to the Internet. The first decade of the 20th century saw how the computer and the phone have converged into a single concept of user ter…
View article: Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning Open
Recent years witnessed a remarkable increase in the availability of data and computing resources in communication networks. This contributed to the rise of data-driven over model-driven algorithms for network automation. This paper investi…
View article: A 2.4-GHz LoRa-Based Protocol for Communication and Energy Harvesting on Industry Machines
A 2.4-GHz LoRa-Based Protocol for Communication and Energy Harvesting on Industry Machines Open
The fourth industrial revolution is paving the way for Industrial Internet of Things applications where large number of wireless nodes, equipped with sensors and actuators, monitor the production cycle of industrial goods. This paper propo…