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Found 98 papers, 7 papers with code
Stochastic differential equations for performance analysis of wireless communication systems
This paper addresses the difficulty of characterizing the time-varying nature of fading channels.
3-D Position Optimization of Solar-Powered Hovering UAV Relay in Optical Wireless Backhaul
A major hurdle in widespread deployment of UAVs (unmanned aerial vehicle) in existing communications infrastructure is the limited UAV onboard energy.
On Performance of Integrated Satellite HAPS Ground Communication: Aerial IRS Node vs Terrestrial IRS Node
With a motive of ubiquitous connectivity over the globe with enhanced spectral efficiency, intelligent reflecting surfaces (IRS) integrated satellite-terrestrial communications is a topic of research interest in an infrastructure-deficient remote terrains.
Combinatorial Stochastic-Greedy Bandit
We propose a novel combinatorial stochastic-greedy bandit (SGB) algorithm for combinatorial multi-armed bandit problems when no extra information other than the joint reward of the selected set of $n$ arms at each time step $t\in [T]$ is observed.
Multi-hop Sub-THz-FSO: A Technique for High-rate Uninterrupted Backhauling in 6G
Moving towards $6^{\text{th}}$ generation (6G), backhaul networks require significant improvements to support new use-cases with restricted joint capacity and availability requirements.
Stochastic Geometry-based Trajectory Design for Multi-Purpose UAVs: Package and Data Delivery
While UAVs deliver the packages from warehouses to residential areas, we design their trajectories which enable them to collect data from multiple Internet of Things (IoT) clusters and forward the collected data to terrestrial base stations (TBSs).
Exploiting Hybrid Terrestrial/LEO Satellite Systems for Rural Connectivity
Satellite networks are playing an important role in realizing global seamless connectivity in beyond 5G and 6G wireless networks.
Aerial-Aided mmWave VANETs Using NOMA: Performance Analysis, Comparison, and Insights
Moreover, we find that, in most cases, direct transmission is preferred to achieve a high rate compared to other schemes.
On the Peak AoI of UAV-assisted IoT Networks: A Stochastic Geometry Approach
In this paper, we analyze the peak age of information (PAoI) in UAV-assisted internet of thing (IoT) networks, in which the locations of IoT devices are modeled by a Mat\'{e}rn cluster process (MCP) and UAVs are deployed at the cluster centers to collect the status updates from the devices.
Pointing-and-Acquisition for Optical Wireless in 6G: From Algorithms to Performance Evaluation
The increasing demand for wireless communication services has led to the development of non-terrestrial networks, which enables various air and space applications.
Optimal Photodetector Size for High-Speed Free-Space Optics Receivers
The selection of an optimal photodetector area is closely linked to the attainment of higher data rates in optical wireless communication receivers.
Angle-of-Arrival Estimation of Narrow Gaussian Beams for Mobile FSO Platforms
We then exploited this relationship to enhance the angle-of-arrival estimation performance of our proposed receiver that takes into account both the location as well as the energy of the laser spot while estimating the angle-of-arrival.
Harnessing the Potential of Optical Communications for the Metaverse
However, the Metaverse applications are bandwidth-hungry and delay-sensitive that require ultrahigh data rates, ultra-low latency, and hyper-intensive computation.
Machine Learning-Based Automatic Cardiovascular Disease Diagnosis Using Two ECG Leads
Simulation results show that the performance of our proposed methodology is better than the state-of-the-art techniques for the same database.
Coverage analysis of Tethered UAV-assisted Large Scale Cellular Networks
One of the major challenges slowing down the use of unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) is the limited on-board power supply which reduces the UAV's flight time.
Lidar-Assisted Acquisition of Mobile Airborne FSO Terminals in a GPS-Denied Environment
This study investigates the optimal allocation of energy between the lidar and FSO subsystems to minimize the acquisition time.
Coverage Analysis and Trajectory Optimization for Aerial Users with Dedicated Cellular Infrastructure
In this paper, we consider a novel cellular network for aerial users, which is composed of dedicated base stations (BSs), whose antennas are directed towards aerial users, and traditional terrestrial BSs (TBSs).
High-rate Reliable Communication using Multi-hop and Mesh THz/FSO Networks
We consider different deployments of the THz and FSO networks and consider both switching and combining methods between the hybrid FSO/THz links.
UAV-Aided Post-Disaster Cellular Networks: A Novel Stochastic Geometry Approach
Motivated by the need for ubiquitous and reliable communications in post-disaster emergency management systems (EMSs), we hereby present a novel and efficient stochastic geometry (SG) framework.
FilFL: Client Filtering for Optimized Client Participation in Federated Learning
Federated learning is an emerging machine learning paradigm that enables clients to train collaboratively without exchanging local data.
Joint Uplink and Downlink EMF Exposure: Performance Analysis and Design Insights
Tuning the system parameters such as the BS density and the minimum distance from a BS to restricted areas, we show a trade-off between reducing the population's exposure to EMF and enhancing the network coverage performance.
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
We investigate the problem of unconstrained combinatorial multi-armed bandits with full-bandit feedback and stochastic rewards for submodular maximization.
On the Downlink SINR Meta Distribution of UAV-assisted Wireless Networks
In this paper, we use the SINR meta distribution for the first time to systematically analyze the improvement and the influence of deploying UAVs on the reliability of a wireless network.
On the Uplink SINR Meta Distribution of UAV-assisted Wireless Networks
This letter studies the signal-to-interference-plus-noise (SINR) meta distribution of uplink transmission of UAV-enabled wireless networks with inversion power control.
Equitable 6G Access Service via Cloud-Enabled HAPS for Optimizing Hybrid Air-Ground Networks
The evolvement of wireless communication services concurs with significant growth in data traffic, thereby inflicting stringent requirements on terrestrial networks.
On Secure Uplink Transmission in Hybrid RF-FSO Cooperative Satellite-Aerial-Terrestrial Networks
Considering the randomness of R, D, and Eves, and employing a stochastic geometry framework, the secrecy outage performance of the cooperative uplink transmission in the considered SATN is investigated and a closed-form analytical expression for the end-to-end secrecy outage probability is derived.
Free-Space Optical Communications for 6G Wireless Networks: Challenges, Opportunities, and Prototype Validation
In this study, we perform video signal transmissions via an FPGA-based FSO communication prototype to investigate the feasibility of an FSO link with a distance of up to 20~km.
Stochastic Geometry-based Analysis of Multi-Purpose UAVs for Package and Data Delivery
Using drones for communications and transportation is drawing great attention in many practical scenarios, such as package delivery and providing additional wireless coverage.
Laser-Powered UAVs for Wireless Communication Coverage: A Large-Scale Deployment Strategy
The use of unmanned aerial vehicles (UAVs) is strongly advocated for sixth-generation (6G) networks, as the 6G standard will not be limited to improving broadband services, but will also target the extension of the geographical cellular coverage.
Precoding for High Throughput Satellite Communication Systems: A Survey
This survey presents an overview and a classification of the recent precoding techniques for HTS communication systems from two main perspectives: 1) a problem formulation perspective and 2) a system design perspective.
Performance Analysis of Charging Infrastructure Sharing in UAV and EV-involved Networks
On the EVs' side, sharing infrastructure can earn extra profit but their service quality, such as waiting time, might slightly reduce.
Energy Efficiency Analysis of Charging Pads-powered UAV-enabled Wireless Networks
Next, we compute the coverage probability under two deployment strategies: (i) one UAV per cluster pair, and (ii) one UAV per cluster.
Enhancement of Rural Connectivity by Recycling TV Towers with Massive MIMO Techniques
The obtained results show that one high tower BS can cover an area at least 25 times larger than the area covered by a legacy BS.
Effect of Strong Time-Varying Transmission Distance on LEO Satellite-Terrestrial Deliveries
In this paper, we investigate the effect of the strong time-varying transmission distance on the performance of the low-earth orbit (LEO) satellite-terrestrial transmission (STT) system.
Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks
Integrated space-air-ground networks promise to offer a valuable solution space for empowering the sixth generation of communication networks (6G), particularly in the context of connecting the unconnected and ultraconnecting the connected.
Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO
We show that for this class of precoders, there is an optimal transmit per-antenna power that maximizes the system performance in terms of SINAD and bit error probability.
Hybrid FSO/THz-based Backhaul Network for mmWave Terrestrial Communication
To minimize the effect of back-and-forth switching, soft switching method is introduced at the access point (AP) to select the signal coming through the hybrid FSO/THz link, and a comparison with hard switching method is presented.
An Interdisciplinary Approach to Optimal Communication and Flight Operation of High-Altitude Long-Endurance Platforms
We design optimal power allocation for downlink (DL) NOMA users along with the ideal position and speed of flight with the aim to maximize sum data rate during the day and minimize power expenditure during the night, while ensuring quality of service.
Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks
Connectivity in rural areas is one of the main challenges of communication networks.
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication
Light-Emitting Diodes (LEDs) based underwater optical wireless communications (UOWCs), a technology with low latency and high data rates, have attracted significant importance for underwater robots.
Generalized Fully Coherent Closed-form Receiver Design for Joint Radar and Communication System
In dual-function radar communication (DFRC), different waveforms are transmitted after each PRI.
Facilitating Satellite-Airborne-Balloon-Terrestrial Integration for Dynamic and Infrastructure-less Networks
However, the air stations deployment and resource managements in this integrated system faces difficulties.
Terahertz-Band Non-Orthogonal Multiple Access: System- and Link-Level Considerations
Non-orthogonal multiple access (NOMA) communications promise high spectral efficiency and massive connectivity, serving multiple users over the same time-frequency-code resources.
EMF-Aware Cellular Networks in RIS-Assisted Environments
The deployment of the 5th-generation cellular networks (5G) and beyond has triggered health concerns due to the electric and magnetic fields (EMF) exposure.
eVTOL Communications and Networking in UAM: Requirements, Key Enablers, and Challenges
Electric vertical takeoff and landing (eVTOL) aircraft have attracted great attention during the last years as the long-awaited enabler of urban air mobility (UAM), allowing a more sustainable method of transportation and accelerating the development of smart cities.
A Tutorial on Terahertz-Band Localization for 6G Communication Systems
Terahertz (THz) communications are celebrated as key enablers for converged localization and sensing in future sixth-generation (6G) wireless communication systems and beyond.
Drone Charging Stations Deployment in Rural Areas for Better Wireless Coverage: Challenges and Solutions
While the fifth-generation cellular (5G) is meant to deliver Gigabit peak data speeds, low latency, and connect to billions of devices, and 6G is already on the way, half of the world population living in rural areas are still facing challenges connecting to the internet.
Weight Vector Tuning and Asymptotic Analysis of Binary Linear Classifiers
Applying this method to a number of linear classifiers under a variety of data dimensionality and sample size settings reveals that the classification performance loss due to non-optimal native hyperparameters can be compensated for by weight vector tuning.
On the Topological Aspects of UAV-Assisted Post-Disaster Wireless Communication Networks
In the context of sixth-generation (6G) networks, emergency management systems (EMSs) based on wireless communications have recently gained increasing interest.
Exploiting Wind Turbine-Mounted Base Stations to Enhance Rural Connectivity
Although global connectivity is one of the main requirements for future generations of wireless networks driven by the United Nation's Sustainable Development Goals (SDGs), telecommunication (telecom) providers are economically discouraged from investing in sparsely populated areas, such as rural and remote ones.
Performance of UAV assisted Multiuser Terrestrial-Satellite Communication System over Mixed FSO/RF Channels
In this work, performance of a multi-antenna multiuser unmanned aerial vehicle (UAV) assisted terrestrial-satellite communication system over mixed free space optics (FSO)/ radio frequency (RF) channels is analyzed.
Green Tethered UAVs for EMF-Aware Cellular Networks
Eventually, we show that TUAVs with green antennas can effectively mitigate the EMF exposure by more than 20% compared to fixed green small cells while achieving a higher data rate.
A Precise Performance Analysis of Support Vector Regression
In this paper, we study the hard and soft support vector regression techniques applied to a set of $n$ linear measurements of the form $y_i=\boldsymbol{\beta}_\star^{T}{\bf x}_i +n_i$ where $\boldsymbol{\beta}_\star$ is an unknown vector, $\left\{{\bf x}_i\right\}_{i=1}^n$ are the feature vectors and $\left\{{n}_i\right\}_{i=1}^n$ model the noise.
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.
Information Theory Signal Processing Information Theory
On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach
In this paper, we study the problem of topology optimization and routing in integrated access and backhaul (IAB) networks, as one of the promising techniques for evolving 5G networks.
On the Performance of Spectrum Sharing Backscatter Communication Systems
Spectrum sharing backscatter communication systems are among the most prominent technologies for ultralow power and spectrum efficient communications.
Information Theory Information Theory
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems
Many proposals exploit the compressibility of the gradients and propose lossy compression techniques to speed up the communication stage of distributed training.
Artificial Intelligence for Satellite Communication: A Review
Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability.
On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels
This paper derives the asymptotic distribution of the normalized $k$-th maximum order statistics of a sequence of non-central chi-square random variables with non-identical non-centrality parameter.
Information Theory Information Theory
A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum
We study the interaction of WiFi and 5G cellular networks as they exploit the recently unlocked 6-GHz spectrum for unlicensed access while conforming to the constraints imposed by the incumbent users.
Predictor Antenna: A Technique to Boost the Performance of Moving Relays
In future wireless systems, a large number of users may access the networks via moving relays (MRs) installed on top of vehicles.
Information Theory Signal Processing Information Theory
Point-to-Point Communication in Integrated Satellite-Aerial Networks: State-of-the-art and Future Challenges
This paper overviews point-to-point (P2P) links for integrated satellite-aerial networks, which are envisioned to be among the key enablers of the sixth-generation (6G) of wireless networks vision.
Unleashing the Potential of Networked Tethered Flying Platforms for B5G/6G: Prospects, Challenges, and Applications
Networked Tethered Flying Platforms (NTFPs), on the other hand, are enjoying the benefits of free-flying platforms while overcoming their limitations by providing a continuous supply of power and data via the tether.
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey
In this article, we provide a comprehensive overview of some potential applications of AI in UAV-based networks.
When Probabilistic Shaping Realizes Improper Signaling for Hardware Distortion Mitigation
We further present a hybrid shaping (HS) design to gain the combined benefits of both PS and geometric shaping (GS).
Free-Space Optical MISO Communications With an Array of Detectors
Multiple-input multiple-output (MIMO) and multiple-input single-output (MISO) schemes have yielded promising results in free space optical (FSO) communications by providing diversity against fading of the received signal intensity.
Deep Learning in Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
Notably, the DL algorithms, when applied in the Industrial Internet of Things (IIoT), can enable various applications such as smart assembling, smart manufacturing, efficient networking, and accident detection-and-prevention.
Viral Aerosol Concentration Characterization and Detection in Bounded Environments
The paper models the exhaled breath as a cloud which is emitted through the room continuously, and analyzes the temporal-spatial virus concentration by accounting for partial absorption and reflection at each side of the room.
Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation
However, signal detection due to inter-channel interference among the active antennas is a challenge in GSM systems and is the focus of this letter.
Differential Reflecting Modulation for Reconfigurable Intelligent Surface Based Communications
Reconfigurable intelligent surface (RIS) based communications have emerged as a new paradigm.
Relay Assisted OFDM with Subcarrier Number Modulation in Multi-Hop Cooperative Networks
To exploit the spatial gain of OFDM-SNM, we propose a relay assisted OFDM-SNM scheme for multi-hop cooperative systems in this letter.
Free-Space Optical Communication Using Non-mode-Selective Photonic Lantern Based Coherent Receiver
A free-space optical communication system using non-mode-selective photonic lantern (PL) based coherent receiver is studied.
Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) to offload Macro-BSs in hotspots.
High-Dimensional Quadratic Discriminant Analysis under Spiked Covariance Model
Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes.
Signal Shaping for Non-Uniform Beamspace Modulated mmWave Hybrid MIMO Communications
Specifically, we firstly propose a joint optimization based signal shaping (JOSS) approach, in which the symbol vector sets used for all analog precoder activation states are jointly optimized by solving a series of quadratically constrained quadratic programming (QCQP) problems.
On the Secrecy of UAV Systems With Linear Trajectory
By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e. g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV ($S$) flies in a straight line and transmits its information over the downlink to a legitimate receiver ($D$) on the ground while an eavesdropping UAV ($E$) trying to overhear the information delivery between $S$ and $D$.
Performance Analysis and Optimization of Cooperative Satellite-Aerial-Terrestrial Systems
Aerial relays have been regarded as an alternative and promising solution to extend and improve satellite-terrestrial communications, as the probability of line-of-sight transmissions increases compared with adopting terrestrial relays.
Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks.
Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges
To illustrate how DL-based CV can be applied in wireless communications, an example of using a DL-based CV with a millimeter-wave (mmWave) system is given to realize optimal mmWave multiple-input and multiple-output (MIMO) beamforming in mobile scenarios.
Energy-Efficient Fixed-Gain AF Relay Assisted OFDM with Index Modulation
To reveal the computing efficiency of the proposed power allocation scheme, we analyze its computational complexity.
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and throughput.
Health Risks Associated with 5G Exposure: A View from the Communications Engineering Perspective
Finally, we examine the risk mitigation techniques based on communications engineering that can be implemented to reduce the exposure from 5G gNB and UE.
Climate Monitoring using Internet of X-Things
Global climate change is significantly affecting the life on planet Earth.
An Overview of Signal Processing Techniques for Terahertz Communications
Such progress establishes a foundation for well-grounded research into THz-specific signal processing techniques for wireless communications.
When Full-Duplex Transmission Meets Intelligent Reflecting Surface: Opportunities and Challenges
Full-duplex (FD) transmission has already been regarded and developed as a promising method to improve the utilization efficiency of the limited spectrum resource, as transmitting and receiving are allowed to simultaneously occur on the same frequency band.
Modeling of Viral Aerosol Transmission and Detection
In this paper, we propose studying the disease spread mechanism in the atmosphere as an engineering problem.
A Journey from Improper Gaussian Signaling to Asymmetric Signaling
The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation between a random entity and its complex conjugate), respectively, introduces new design freedom and various potential merits.
Asymptotic Analysis of an Ensemble of Randomly Projected Linear Discriminants
Datasets from the fields of bioinformatics, chemometrics, and face recognition are typically characterized by small samples of high-dimensional data.
Next Generation Terahertz Communications: A Rendezvous of Sensing, Imaging, and Localization
Terahertz (THz)-band communications are celebrated as a key enabling technology for next-generation wireless systems that promises to integrate a wide range of data-demanding and delay-sensitive applications.
Joint Reflecting and Precoding Designs for SER Minimization in Reconfigurable Intelligent Surfaces Assisted MIMO Systems
This paper investigates the use of a reconfigurable intelligent surface (RIS) to aid point-to-point multi-data-stream multiple-input multiple-output (MIMO) wireless communications.
Enhanced Orthogonal Frequency-Division Multiplexing with Subcarrier Number Modulation
A novel modulation scheme termed orthogonal frequency-division multiplexing with subcarrier number modulation (OFDM-SNM) has been proposed and regarded as one of the promising candidate modulation schemes for next generation networks.
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data
This paper carries out a large dimensional analysis of a variation of kernel ridge regression that we call \emph{centered kernel ridge regression} (CKRR), also known in the literature as kernel ridge regression with offset.
Smart Buildings Enabled by 6G Communications
Smart building (SB), a promising solution to fast-paced and continuous urbanization around the world, includes the integration of a wide range of systems and services and involves the construction of multiple layers.
Networking and Internet Architecture
Ultra-Massive MIMO Systems at Terahertz Bands: Prospects and Challenges
Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in the upcoming sixth-generation (6G) of wireless communications.
Precise Performance Analysis of the LASSO under Matrix Uncertainties
In this paper, we consider the problem of recovering an unknown sparse signal $\xv_0 \in \mathbb{R}^n$ from noisy linear measurements $\yv = \Hm \xv_0+ \zv \in \mathbb{R}^m$.
Information Theory Information Theory
Rician $K$-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks
In this report, we introduce the concept of Rician $K$-factor-based radio resource and mobility management for fifth generation (5G) ultra-dense networks (UDN), where the information on the gradual visibility between the new radio node B (gNB) and the user equipment (UE)---dubbed X-line-of-sight (XLOS)---would be required.
Information Theory Information Theory
A Large Dimensional Study of Regularized Discriminant Analysis Classifiers
This article carries out a large dimensional analysis of standard regularized discriminant analysis classifiers designed on the assumption that data arise from a Gaussian mixture model with different means and covariances.
New Results on the Sum of Gamma Random Variates With Application to the Performance of Wireless Communication Systems over Nakagami-m Fading Channels
The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed Gamma variates, applicable to the output statistics of maximal ratio combining (MRC) receiver operating over Nakagami-m fading channels or in other words to the statistical analysis of the scenario where the sum of squared Nakagami-m distributions are user-of-interest, is presented in closed-form in terms of well-known Meijer's G function and easily computable Fox's H-bar function for integer valued and non-integer valued m fading parameters.
Information Theory Information Theory Probability Statistics Theory Statistics Theory
