Results 51 to 60 of about 17,373 (186)
Uplink Performance Analysis in D2D-Enabled mmWave Cellular Networks
In this paper, we provide an analytical framework to analyze the uplink performance of device-to-device (D2D)-enabled millimeter wave (mmWave) cellular networks.
Gursoy, M. Cenk, Turgut, Esma
core +2 more sources
TranQuiL: Long Range Detection and Localization of Interference in Radio Quiet Zones
Abstract Radio Quiet Zones (RQZs) have been established to prevent radio sources from causing harmful interference to sensitive radio telescopes, which study extremely faint cosmic radio waves. Even with strict regulations, such interference is growing due to the widespread use of consumer electronics, emitting in many different frequency bands ...
Atul Bansal +5 more
wiley +1 more source
Hyper-NLOS: hyperspectral passive non-line-of-sight imaging
Passive non-line-of-sight (NLOS) imaging has potential applications in autonomous driving and search and rescue, but current deep learning approaches often produce suboptimal images due to sparse and homogeneous projection features, leading to an ill-posed reconstruction process.
Mingyang Chen +6 more
openaire +1 more source
This paper presents the findings of radio wave characterization based on the measurement data at 5.8 GHz. The measurement data were collected by a testbed channel, which links with the following scenarios: a single tree, a row of trees, a row of trees and a road, a row of trees, a road, and a building.
Md Idris, Ikha Fadzila +3 more
openaire +2 more sources
A Ray-Tracing-Based Single-Site Localization Method for Non-Line-of-Sight Environments
Localization accuracy in non-line-of-sight (NLOS) scenarios is often hindered by the complex nature of multipath propagation. Traditional approaches typically focus on NLOS node identification and error mitigation techniques.
Shuo Hu, Lixin Guo, Zhongyu Liu
doaj +1 more source
Fast Back-Projection for Non-Line of Sight Reconstruction [PDF]
Recent works have demonstrated non-line of sight (NLOS) reconstruction by using the time-resolved signal frommultiply scattered light. These works combine ultrafast imaging systems with computation, which back-projects the recorded space-time signal to ...
Arellano, Victor +2 more
core +3 more sources
Enhancing CNN Path Loss Estimation Performance using Satellite Image and Distance Feature
Fine‐tuning a pretrained VGG‐16 accommodates efficient model retraining. Including distance feature improves path loss (PL) estimation accuracy and efficiency. The distance information is best supplied in a form in line with the empirical PL model. ABSTRACT We employ convolutional neural networks (CNNs) with distance feature and satellite image for ...
Renata Nur Afifah, Irma Zakia
wiley +1 more source
Measurement-Based LoS/NLoS Channel Modeling for Hot-Spot Urban Scenarios in UMTS Networks
A measurement campaign is introduced for modeling radio channels with either line-of-sight (LoS) or non-line-of-sight (NLoS) connection between user equipment (UE) and NodeB (NB) in an operating universal mobile telecommunications system.
Jiajing Chen +7 more
doaj +1 more source
Hidden Markov models for radio localization in mixed LOS/NLOS conditions [PDF]
—This paper deals with the problem of radio localization of moving terminals (MTs) for indoor applications with mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions.
Carlo Morelli +4 more
core +1 more source
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source

