Optical Wireless Communication Technologies
109 papers on this topic
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
Although semantic communication (SC) has shown its potential in efficiently transmitting multimodal data such as texts, speeches and images, SC for videos has focused primarily on pixel-level...
Wireless Image Transmission with Semantic and Security Awareness
Semantic communication is an increasingly popular framework for wireless image transmission due to its high communication efficiency. With the aid of the joint-source-and-channel (JSC) encoder...
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
Over-the-Air Federated Learning (OTA-FL) is a privacy-preserving distributed learning mechanism, by aggregating updates in the electromagnetic channel rather than at the server. A critical...
Resource Allocation for Multi-Cell IRS-Aided NOMA Networks
This paper proposes a novel framework of resource allocation in multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where an IRS is deployed to...
On the Physical Layer Security Performance over RIS-aided Dual-hop RF-UOWC Mixed Network
Since security has been one of the crucial issues for high-yield communications such as 5G and 6G, the researchers continuously come up with newer techniques to enhance the security and...
IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization
Intelligent reflecting surfaces (IRSs) are regarded as a key enabler of green wireless communication, due to their capability of customizing favorable wireless propagation environments. In this...
Beamspace MIMO for Satellite Swarms
Systems of small distributed satellites in low Earth orbit (LEO) transmitting cooperatively to a multiple antenna ground station (GS) are investigated. These satellite swarms have the benefit of...
Performance Analysis of LOS THz Systems under Misalignment and Deterministic Fading
Line-of-sight (LOS) wireless communication at terahertz (THz) frequency bands is envisioned to play a major role in defining next-generation wireless technologies. This work analyzes the...
TACO: Rethinking Semantic Communications with Task Adaptation and Context Embedding
Recent advancements in generative artificial intelligence have introduced groundbreaking approaches to innovating next-generation semantic communication, which prioritizes conveying the meaning of...
Robust Ultra-wideband Range Error Mitigation with Deep Learning at the Edge
Ultra-wideband (UWB) is the state-of-the-art and most popular technology for wireless localization. Nevertheless, precise ranging and localization in non-line-of-sight (NLoS) conditions is still...
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges
With the rapid development of marine activities, there has been an increasing number of maritime mobile terminals, as well as a growing demand for high-speed and ultra-reliable maritime...
SALC: Skeleton-Assisted Learning-Based Clustering for Time-Varying Indoor Localization
Wireless indoor localization has attracted significant amount of attention in recent years. Using received signal strength (RSS) obtained from WiFi access points (APs) for establishing...
Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios
TeraHertz (THz) communications are envisioned as a promising technology, owing to its unprecedented multi-GHz bandwidth. In this paper, wideband channel measurement campaigns at 140 GHz and 220...
Channel Characterization of Diffusion-based Molecular Communication with Multiple Fully-absorbing Receivers
In this paper an analytical model is introduced to describe the impulse response of the diffusive channel between a pointwise transmitter and a given fully-absorbing (FA) receiver in a molecular...
Indoor Positioning via Gradient Boosting Enhanced with Feature Augmentation using Deep Learning
With the emerge of the Internet of Things (IoT), localization within indoor environments has become inevitable and has attracted a great deal of attention in recent years. Several efforts have...
CSI-Based Localization with CNNs Exploiting Phase Information
In this paper we study the use of the Channel State Information (CSI) as fingerprint inputs of a Convolutional Neural Network (CNN) for localization. We examine whether the CSI can be used as a...
Distributed Downlink Precoding and Equalization in Satellite Swarms
In this paper, we propose a novel approach for downlink transmission from a satellite swarm towards a ground station (GS). These swarms have the benefit of much higher spatial separation in the...
Measurement, Characterization and Modeling of LoRa Technology in Multi-floor Buildings
In recent years, we have witnessed the rapid development of LoRa technology, together with extensive studies trying to understand its performance in various application settings. In contrast to...