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Found 87 papers, 10 papers with code
Coexistence of Pull and Push Communication in Wireless Access for IoT Devices
We consider a setup with Internet of Things (IoT), where a base station (BS) collects data from nodes that use two different communication modes.
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
This work proposes a novel architecture that integrates a wake-up radio mechanism within a split computing system consisting of remote, wirelessly connected, NPUs.
Experimental Study of Spatial Statistics for Ultra-Reliable Communications
Using experimental channel measurements from 127 locations, we demonstrate the use case of providing statistical guarantees for rate selection in ultra-reliable low-latency communication (URLLC) using CDI maps.
Scheduling for On-Board Federated Learning with Satellite Clusters
Mega-constellations of small satellites have evolved into a source of massive amount of valuable data.
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents.
Assessing the Potential of Space-Time-Coding Metasurfaces for Sensing and Localization
This type of topology causes impairments to the established communication methods by generating undesirable interference both in frequency and space, which is worsened when using wideband signals.
Goal-Oriented Communication, Estimation, and Control over Bidirectional Wireless Links
This status information, such as dynamic plant state and Markov Process-based context information, is then received/estimated by the controller for remote control.
Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing
This paper investigates the role and the impact of control operations for dynamic mobile edge computing (MEC) empowered by Reconfigurable Intelligent Surfaces (RISs), in which multiple devices offload their computation tasks to an access point (AP) equipped with an edge server (ES), with the help of the RIS.
Greedy Shapley Client Selection for Communication-Efficient Federated Learning
The standard client selection algorithms for Federated Learning (FL) are often unbiased and involve uniform random sampling of clients.
Generative Network Layer for Communication Systems with Artificial Intelligence
The traditional role of the network layer is the transfer of packet replicas from source to destination through intermediate network nodes.
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
Data markets facilitate decentralized data exchange for applications such as prediction, learning, or inference.
Value-Based Reinforcement Learning for Digital Twins in Cloud Computing
The setup considered in the paper consists of sensors in a Networked Control System that are used to build a digital twin (DT) model of the system dynamics.
ARQ for Active Learning at the Edge
Conventional retransmission (ARQ) protocols are designed with the goal of ensuring the correct reception of all the individual transmitter's packets at the receiver.
On the Radio Stripe Deployment for Indoor RF Wireless Power Transfer
One of the primary goals of future wireless systems is to foster sustainability, for which, radio frequency (RF) wireless power transfer (WPT) is considered a key technology enabler.
Multi-Sensor Multi-Scan Radar Sensing of Multiple Extended Targets
We propose an efficient solution to the state estimation problem in multi-scan multi-sensor multiple extended target sensing scenarios.
Proximal Policy Optimization for Integrated Sensing and Communication in mmWave Systems
In wireless communication systems, mmWave beam tracking is a critical task that affects both sensing and communications, as it is related to the knowledge of the wireless channel.
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation
A client has to decide its transmission plan on when not to participate in FL.
On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites
The amount of data generated by Earth observation satellites can be enormous, which poses a great challenge to the satellite-to-ground connections with limited rate.
Deep Learning for Asynchronous Massive Access with Data Frame Length Diversity
Grant-free non-orthogonal multiple access has been regarded as a viable approach to accommodate access for a massive number of machine-type devices with small data packets.
EMF Exposure Mitigation in RIS-Assisted Multi-Beam Communications
This paper proposes a method for reducing {third-party} exposure to electromagnetic fields (EMF) by exploiting the capability of a reconfigurable intelligent surfaces' (RIS) to manipulate the electromagnetic environment.
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
Second, we focus on the convergence of blockchain and data sharing to give a clear picture of this landscape and propose a reference architecture for blockchain-based data sharing.
Multi-Agent Reinforcement Learning for Pragmatic Communication and Control
In this work, we propose a joint design that combines goal-oriented communication and networked control into a single optimization model, an extension of a multiagent POMDP which we call Cyber-Physical POMDP (CP-POMDP).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
The dynamic scheduling of ultra-reliable and low-latency traffic (URLLC) in the uplink can significantly enhance the efficiency of coexisting services, such as enhanced mobile broadband (eMBB) devices, by only allocating resources when necessary.
OnRMap: An Online Radio Mapping Approach for Large Intelligent Surfaces
We introduce OnRMap, an online radio mapping (RMap) approach for the sensing and localization of active users (AUs), devices that are transmitting radio signals, and passive elements (PEs), elements that are in the environment and are illuminated by the AUs' radio signals.
The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless
From the viewpoint of communication and networking, this will represent an evolution of the game networking technology, designed to interconnect massive users in real-time online gaming environments.
Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission
In case of imperfect position knowledge, the performance degradation of the robust precoder is relatively small.
Scheduling Policy for Value-of-Information (VoI) in Trajectory Estimation for Digital Twins
This paper presents an approach to schedule observations from different sensors in an environment to ensure their timely delivery and build a digital twin (DT) model of the system dynamics.
RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach
Aiming at overcoming practical issues of successive interference cancellation (SIC), this paper proposes a dual-polarized rate-splitting multiple access (RSMA) technique for a downlink massive multiple-input multiple-output (MIMO) network.
RIS-Enabled SISO Localization under User Mobility and Spatial-Wideband Effects
Specifically, we observe that the state of the user with a high speed (42 m/s) can be estimated virtually with the same accuracy as a static user.
Dual-Polarized Massive MIMO-RSMA Networks: Tackling Imperfect SIC
This paper takes advantage of this additional DoF to alleviate practical issues of successive interference cancellation (SIC) in rate-splitting multiple access (RSMA) schemes.
Opportunities for Intelligent Reflecting Surfaces in 6G-Empowered V2X Communications
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology.
FedToken: Tokenized Incentives for Data Contribution in Federated Learning
Incentives that compensate for the involved costs in the decentralized training of a Federated Learning (FL) model act as a key stimulus for clients' long-term participation.
Energy-Efficient Trajectory Design of a Multi-IRS Assisted Portable Access Point
In this work, we propose a framework for energy-efficient trajectory design of an unmanned aerial vehicle (UAV)-based portable access point (PAP) deployed to serve a set of ground nodes (GNs).
Cost-Efficient Deployment of a Reliable Multi-UAV Unmanned Aerial System
In this work, we study the trade-off between the reliability and the investment cost of an unmanned aerial system (UAS) consisting of a set of unmanned aerial vehicles (UAVs) carrying radio access nodes, called portable access points (PAPs)), deployed to serve a set of ground nodes (GNs).
Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach
Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems towards the smart grid.
Channel Estimation for RIS-Aided Multi-User mmWave Systems with Uniform Planar Arrays
Specifically, in Stage I, the channel state information (CSI) of a typical user is estimated.
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
Moreover, the user fairness, energy efficiency, and hence the FEE value of the system can be improved by efficiently moving the PAP above the GNs.
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
We introduce MixTailor, a scheme based on randomization of the aggregation strategies that makes it impossible for the attacker to be fully informed.
Floor Map Reconstruction Through Radio Sensing and Learning By a Large Intelligent Surface
Environmental scene reconstruction is of great interest for autonomous robotic applications, since an accurate representation of the environment is necessary to ensure safe interaction with robots.
Strategic Coalition for Data Pricing in IoT Data Markets
Finally, we reveal the structure of the formulated problem as a distributed coalition game and solve it following the simplified split-and-merge algorithm.
Multiband Massive IoT: A Learning Approach to Infrastructure Deployment
The first approach is based on a predefined model of the environment, while the second approach is measurement-based model-free approach, which is applicable to any environment.
Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations
Distributed training of machine learning models directly on satellites in low Earth orbit (LEO) is considered.
Federated Learning in Satellite Constellations
Federated learning (FL) has recently emerged as a distributed machine learning paradigm for systems with limited and intermittent connectivity.
Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps to predict any relevant channel statistics to assist communications.
Rate-Splitting Multiple Access and its Interplay with Intelligent Reflecting Surfaces
Rate-splitting multiple access (RSMA) has recently appeared as a powerful technique for improving the downlink performance of multiple-input multiple-output (MIMO) systems.
User Clustering for Rate Splitting using Machine Learning
Hierarchical Rate Splitting (HRS) schemes proposed in recent years have shown to provide significant improvements in exploiting spatial diversity in wireless networks and provide high throughput for all users while minimising interference among them.
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc.
Opportunities for Physical Layer Security in UAV Communication Enhanced with Intelligent Reflective Surfaces
Unmanned Aerial Vehicles (UAVs) are an important component of next-generation wireless networks that can assist in high data rate communications and provide enhanced coverage. Their high mobility and aerial nature offer deployment flexibility and low-cost infrastructure support to existing cellular networks and provide many applications that rely on mobile wireless communications.
A Contribution-based Device Selection Scheme in Federated Learning
In a Federated Learning (FL) setup, a number of devices contribute to the training of a common model.
Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing
This is a critical link tasked with a timely and reliable transfer of potentially significant amount of data from the multitude of sensors.
Beamspace MIMO for Satellite Swarms
In this paper, we propose a distributed linear precoding scheme and a GS equalizer relying on local position information.
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
An emerging paradigm in ML is a federated approach where the learning model is delivered to a group of heterogeneous agents partially, allowing agents to train the model locally with their own data.
On-Board Federated Learning for Dense LEO Constellations
Mega-constellations of small-size Low Earth Orbit (LEO) satellites are currently planned and deployed by various private and public entities.
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semi-autonomous IoT applications, examples of which include highly automated manufacturing cells or autonomously interacting harvesting machines.
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.
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
To tackle this issue, we developed Tesla, a Message Passing Neural Network (MPNN) graph convolution approach for mmWave radar point clouds.
Ground-Assisted Federated Learning in LEO Satellite Constellations
In Low Earth Orbit (LEO) mega constellations, there are relevant use cases, such as inference based on satellite imaging, in which a large number of satellites collaboratively train a machine learning model without sharing their local datasets.
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
Thus, we propose a reactive method for the allocation of wireless resources, that happens dynamically each FL round, and is based on each learner's contribution to the general model.
Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
In the first coherence block, we propose a two-phase channel estimation method, in which the cascaded channel of one typical user is estimated in Phase I based on the linear correlation among cascaded paths, while the cascaded channels of other users are estimated in Phase II by utilizing the partial CSI of the common base station (BS)-RIS channel obtained in Phase I.
Age of Loop for Wireless Networked Control Systems Optimization
Joint design of control and communication in Wireless Networked Control Systems (WNCS) is a promising approach for future wireless industrial applications.
IRS-Assisted Massive MIMO-NOMA Networks with Polarization Diversity
In this paper, the appealing features of a dual-polarized intelligent reflecting surface (IRS) are exploited to improve the performance of dual-polarized massive multiple-input multiple-output (MIMO) with non-orthogonal multiple access (NOMA) under imperfect successive interference cancellation (SIC).
Energy-Efficient 3D Deployment of Aerial Access Points in a UAV Communication System
In this letter, we propose an energy-efficient 3-dimensional placement of multiple aerial access points (AAPs), in the desired area, acting as flying base stations for uplink communication from a set of ground user equipment (UE).
Semantic Communications in Networked Systems: A Data Significance Perspective
We present our vision for a departure from the established way of architecting and assessing communication networks, by incorporating the semantics of information for communications and control in networked systems.
Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing
Based on these fundamentals, we characterize seven unique defining features of THz wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.
Information Theory Information Theory
Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications
We will provide the formulas and derivations that are required to understand and analyze RIS-aided systems using signal processing, and exemplify how they can be utilized for improved communication, localization, and sensing.
Hidden Markov Model-Based Encoding for Time-Correlated IoT Sources
As the use of Internet of Things (IoT) devices for monitoring purposes becomes ubiquitous, the efficiency of sensor communication is a major issue for the modern Internet.
Networking and Internet Architecture 94A05 (Primary), 94B35, 62M05 (Secondary) E.4; H.1.1
Timely Monitoring of Dynamic Sources with Observations from Multiple Wireless Sensors
In this paper, we consider the problem of minimizing the AoI in a system in which a set of sources are observed by multiple sensors in a many-to-many relationship, and the probability that a sensor observes a source depends on the state of the source.
Information Theory Networking and Internet Architecture Information Theory
IRS-Assisted Massive MIMO-NOMA Networks: Exploiting Wave Polarization
By considering the downlink of a multi-cluster scenario, the IRSs assist the base station (BS) to multiplex subsets of users in the polarization domain.
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
By treating an LIS as a radio image of the environment relying on the received signal power, we develop techniques to sense the environment, by leveraging the tools of image processing and machine learning.
IoT Wallet: Machine Learning-based Sensor Portfolio Application
Based on the type of the user, data can be viewed-only, controlled or the top user can register the sensor to the system.
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Distributed, Parallel, and Cluster Computing
Band Assignment in Ultra-Narrowband (UNB) Systems for Massive IoT Access
The objective is to find an assignment of BSs to multiplexing bands in order to maximize the packet decoding probability (PDP).
Antenna Selection for Improving Energy Efficiency in XL-MIMO Systems
We consider the recently proposed extra-large scale massive multiple-input multiple-output (XL-MIMO) systems, with some hundreds of antennas serving a smaller number of users.
Review of the State-of-the-Art on Adaptive Protection for Microgrids based on Communications
The dominance of distributed energy resources in microgrids and the associated weather dependency require flexible protection.
A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting
One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing.
Inter-Plane Inter-Satellite Connectivity in Dense LEO Constellations
With numerous ongoing deployments owned by private companies and startups, dense satellite constellations deployed in low Earth orbit (LEO) will play a major role in the near future of wireless communications.
Networking and Internet Architecture
Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios
In our scheme, we classify transactions into two types: 1) global transactions, which must be processed by global blockchain nodes and 2) local transactions, which can be processed locally by entities called witnesses.
Networking and Internet Architecture Systems and Control Systems and Control
Trusted Wireless Monitoring based on Distributed Ledgers over NB-IoT Connectivity
The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders.
Cryptography and Security Distributed, Parallel, and Cluster Computing
Peak Age of Information Distribution in Tandem Queue Systems
Age of Information is a critical metric for several Internet of Things (IoT) applications, where sensors keep track of the environment by sending updates that need to be as fresh as possible.
Networking and Internet Architecture 60K25, 68M20 C.2.2; G.3
Machine Learning Methods for Monitoring of Quasi-Periodic Traffic in Massive IoT Networks
One of the central problems in massive Internet of Things (IoT) deployments is the monitoring of the status of a massive number of links.
Low-Complexity Distributed XL-MIMO for Multiuser Detection
In this paper, the zero-forcing and regularized zero-forcing schemes operating in crowded extra-large MIMO (XL-MIMO) scenarios with a fixed number of subarrays have been emulated using the randomized Kaczmarz algorithm (rKA).
Spectrum Sharing for Massive Access in Ultra-Narrowband IoT Systems
Ultra-narrowband (UNB) communications has become a signature feature for many emerging low-power wide-area (LPWA) networks.
Inference over Wireless IoT Links with Importance-Filtered Updates
We propose a data filtering scheme employed by the IoT nodes, which we refer to as distributed importance filtering in order to filter out redundant data samples already at the IoT nodes.
Grant-Free Radio Access for Short-Packet Communications over 5G Networks
Radio access management plays a vital role in delay and energy consumption of connected devices.
Information Theory Information Theory
Distributed Proportional-Fairness Control in MicroGrids via Blockchain Smart Contracts
Residential microgrids (MGs) may host a large number of Distributed Energy Resources (DERs).
Multiagent Systems
Distributed Estimation of the Operating State of a Single-Bus DC MicroGrid without an External Communication Interface
We propose a decentralized Maximum Likelihood solution for estimating the stochastic renewable power generation and demand in single bus Direct Current (DC) MicroGrids (MGs), with high penetration of droop controlled power electronic converters.
A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems
The Massive MIMO (multiple-input multiple-output) technology has great potential to manage the rapid growth of wireless data traffic.
Information Theory Networking and Internet Architecture Information Theory
