Results 71 to 80 of about 17,521 (206)
This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Secure Transmission in ISAC Systems Aided by Active STAR‐RIS
This paper investigates the secure transmission problem in an active simultaneous transmitting and reflecting intelligent reflecting surfaces (STAR‐RIS)‐aided integrated sensing and communication downlink system. Our objective is to maximize the sum secrecy rate by jointly optimizing the base station beamforming vectors, the sensing signal covariance ...
Baofeng Ji, Xinhao Guo, Shahid Mumtaz
wiley +1 more source
This paper gives an experimental demonstration of non-line-of-sight (NLOS) visible light communication (VLC) using a single 80 μm gallium nitride (GaN) based micro-light-emitting diode (micro-LED).
Zhijian Lu +13 more
doaj +1 more source
In recent years, location-based services have been receiving increasing attention because of their great development prospects. Researchers from all over the world have proposed many solutions for indoor positioning over the past several years.
Ke Han +3 more
doaj +1 more source
Comparative Study Between Measurement and Predictions Using Geometrical Optics and Uniform Theory of Diffraction for Case of Non-Line-of-Sight (NLOS) in Indoor Environment [PDF]
This paper describes the investigation and comparison of the accuracy of a deterministic model for a WLAN system in the indoor environment. The measurement system consisted of a spectrum analyzer and a log-periodic antenna. Non-line-of-sight (NLOS) propagation (in furnished rooms) was investigated.
Cheng, Ee Meng +5 more
openaire +2 more sources
Reliable channel estimation in low‐altitude ISAC is challenged by UAV‐induced fast‐varying and non‐stationary channels. We present an ST‐cGAN framework that jointly models spatial and temporal features under conditional adversarial learning, achieving superior accuracy and robustness compared with conventional and deep learning baselines.
Guixin Pan +5 more
wiley +1 more source
This paper introduces a stochastic geometry‐based analytical framework to evaluate and enhance communication reliability and road safety in connected autonomous vehicles (CAVs). By modeling roads using Poisson Line Processes and vehicle distributions with Poisson Point Processes, the framework enables accurate assessment of key performance metrics like
Anjum Mohd Aslam +2 more
wiley +1 more source
milliProxy: a TCP Proxy Architecture for 5G mmWave Cellular Systems
TCP is the most widely used transport protocol in the internet. However, it offers suboptimal performance when operating over high bandwidth mmWave links.
Mezzavilla, Marco +6 more
core +1 more source
A 3D Non‐Stationary Wideband GBSM for Low‐Altitude UAV Channels in Rail Environments
This paper presents a three‐dimensional (3D) wideband non‐stationary Geometry‐Based Stochastic Channel Model (GBSM) for low‐altitude unmanned aerial vehicle (UAV) communications. Distinct from existing modelling frameworks, the proposed model integrates air‐to‐air (A2A) and air‐to ground (A2G) scenarios into a generalised channel model. Moreover, a two‐
Cheng Li +5 more
wiley +1 more source
LOS and NLOS identification in real indoor environment using deep learning approach
Visibility conditions between antennas, i.e. Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) can be crucial in the context of indoor localization, for which detecting the NLOS condition and further correcting constant position estimation errors or ...
Alicja Olejniczak +4 more
doaj +1 more source

