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Found 42 papers, 14 papers with code
Effective Communication with Dynamic Feature Compression
The remote wireless control of industrial systems is one of the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that need to be shared over the wireless medium may overload even high-capacity connections.
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains.
Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems
In this paper, we provide the first, fundamental analysis of Radio Frequency Interference (RFI) that large-scale terrestrial deployments introduce in different satellite sensing systems now orbiting the Earth.
Adaptive Compression in Federated Learning via Side Information
The high communication cost of sending model updates from the clients to the server is a significant bottleneck for scalable federated learning (FL).
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints
Intelligent reflecting surfaces (IRSs) are being widely investigated as a potential low-cost and energy-efficient alternative to active relays for improving coverage in next-generation cellular networks.
Semantic Communication of Learnable Concepts
The transmitter applies a learning algorithm to the available examples, and extracts knowledge from the data by optimizing a probability distribution over a set of models, i. e., known functions, which can better describe the observed data, and so potentially the underlying concepts.
Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
To ensure safety in teleoperated driving scenarios, communication between vehicles and remote drivers must satisfy strict latency and reliability requirements.
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints
In the literature, these surfaces are often studied by idealizing their characteristics.
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
The coordination of robotic swarms and the remote wireless control of industrial systems are among the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information that needs to be shared over the wireless medium can overload even high-capacity connections.
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks.
Sparse Random Networks for Communication-Efficient Federated Learning
At the end of the training, the final model is a sparse network with random weights -- or a subnetwork inside the dense random network.
Rate-Constrained Remote Contextual Bandits
We consider a rate-constrained contextual multi-armed bandit (RC-CMAB) problem, in which a group of agents are solving the same contextual multi-armed bandit (CMAB) problem.
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Accurate scene understanding from multiple sensors mounted on cars is a key requirement for autonomous driving systems.
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3
Artificial intelligence (AI) techniques have emerged as a powerful approach to make wireless networks more efficient and adaptable.
Remote Contextual Bandits
We consider a remote contextual multi-armed bandit (CMAB) problem, in which the decision-maker observes the context and the reward, but must communicate the actions to be taken by the agents over a rate-limited communication channel.
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario
In recent years, autonomous networks have been designed with Predictive Quality of Service (PQoS) in mind, as a means for applications operating in the industrial and/or automotive sectors to predict unanticipated Quality of Service (QoS) changes and react accordingly.
Contextual Multi-Armed Bandit with Communication Constraints
We consider a remote Contextual Multi-Armed Bandit (CMAB) problem, in which the decision-maker observes the context and the reward, but must communicate the actions to be taken by the agents over a rate-limited communication channel.
Energy-Efficient Design for RIS-assisted UAVcommunications in beyond-5G Networks
The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas.
Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems
Recent advances in software, hardware, computing and control have fueled significant progress in the field of autonomous systems.
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
In this paper, we evaluate how using a combination of different sensors affects the detection of the environment in which the vehicles move and operate.
On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI
Federated learning (FL) has recently emerged as an attractive decentralized solution for wireless networks to collaboratively train a shared model while keeping data localized.
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
The proposed framework relies on the possibility for the UAVs to exchange some information through a communication channel, in order to achieve context-awareness and implicitly coordinate the swarm's actions.
Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation
In a fully autonomous driving framework, where vehicles operate without human intervention, information sharing plays a fundamental role.
Autonomous Driving
Quantization
Networking and Internet Architecture
Uplink Beam Management for Millimeter Wave Cellular MIMO Systems with Hybrid Beamforming
Hybrid analog and digital BeamForming (HBF) is one of the enabling transceiver technologies for millimeter Wave (mmWave) Multiple Input Multiple Output (MIMO) systems.
Information Theory Information Theory
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective
The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems.
User Selection in Millimeter Wave Massive MIMO System using Convolutional Neural Networks
Simulation results show that the proposed CNN performs close to optimal exhaustive search in terms of achievable rate, with negligible computational complexity.
Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation
5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications.
Toward End-to-End, Full-Stack 6G Terahertz Networks
Recent evolutions in semiconductors have brought the terahertz band in the spotlight as an enabler for terabit-per-second communications in 6G networks.
Networking and Internet Architecture Signal Processing
Millimeter Wave Remove UAV Control and Communications for Public Safety Scenarios
Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings.
MilliCar -- An ns-3 Module for mmWave NR V2X Networks
Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative automated driving as a means to guarantee improved road safety and traffic efficiency.
Networking and Internet Architecture
Implementation of A Spatial Channel Model for ns-3
The next generation of wireless networks will feature a more flexible radio access design, integrating multiple new technological solutions (e. g., massive Multiple-Input Multiple-Output (MIMO), millimeter waves) to satisfy different verticals and use cases.
Networking and Internet Architecture Signal Processing
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance
With the advent of millimeter wave (mmWave) communications, the combination of a detailed 5G network simulator with an accurate antenna radiation model is required to analyze the realistic performance of complex cellular scenarios.
A Game-Theoretic and Experimental Analysis of Energy-Depleting Underwater Jamming Attacks
Security aspects in underwater wireless networks have not been widely investigated so far, despite the critical importance of the scenarios in which these networks can be employed.
Networking and Internet Architecture
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
Therefore, it is possible to perform a global numerical optimization over the vast multi-dimensional parameter space, in a fraction of the time that would be required by a simple brute-force search.
Implementation of Reference Public Safety Scenarios in ns-3
Moreover, we present the implementation of two novel mobility models for ns-3, which can be used to enable the simulation of realistic PSC scenarios in ns-3.
Networking and Internet Architecture
Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks
Then, we will describe how the controllers can be used to run ML algorithms to predict the number of users in each base station, and a use case in which these predictions are exploited by a higher-layer application to route vehicular traffic according to network Key Performance Indicators (KPIs).
Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks
The next generation of cellular networks (5G) will exploit the mmWave spectrum to increase the available capacity.
Networking and Internet Architecture Information Theory Information Theory
Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module
Thanks to the wide availability of bandwidth, the millimeter wave (mmWave) frequencies will provide very high data rates to mobile users in next generation 5G cellular networks.
Networking and Internet Architecture
Rate-Distortion Classification for Self-Tuning IoT Networks
Many future wireless sensor networks and the Internet of Things are expected to follow a software defined paradigm, where protocol parameters and behaviors will be dynamically tuned as a function of the signal statistics.
End-to-End Simulation of 5G mmWave Networks
Due to its potential for multi-gigabit and low latency wireless links, millimeter wave (mmWave) technology is expected to play a central role in 5th generation cellular systems.
Networking and Internet Architecture
Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration
However, when propagation conditions are hard and it is difficult to provide high quality coverage with mmWave BS, it is necessary to rely on previous generation LTE base stations, which make use of lower frequencies (900 MHz - 3. 5 GHz), which are less sensitive to blockage and experience lower pathloss.
Networking and Internet Architecture
A Framework for End-to-End Evaluation of 5G mmWave Cellular Networks in ns-3
In this work, we present the first-of-its-kind, open-source framework for modeling mmWave cellular networks in the ns-3 simulator.
Networking and Internet Architecture I.6.5; I.6.7
