On the Spectral Quality of Time-Resolved CMOS SPAD-Based Raman Spectroscopy with High Fluorescence Backgrounds
The fluorescence background in Raman spectroscopy can be effectively suppressed by using pulsed lasers and time-gated detectors. A recent solution to reduce […]
Human accuracy in mobile data collection
The collection of participant data “in the wild” is widely employed by Human-Computer Interaction researchers. A variety of methods, including experience sampling, […]
Taming the latency in multi-user VR 360°
Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR […]
Efficient initialisation of iterative linear massive MIMO detectors using a stair matrix
Several approximate matrix inversion methods have been used in linear massive MIMO uplink detectors where their convergence rate, performance, and complexity are […]
Age of Information-Aware Radio Resource Management in Vehicular Networks
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a […]
Modified Handover Decision Algorithm in Long Term Evolution Advanced Network
Heterogeneous deployment of access points is considered as a promising technique for improved network performance in 4G networks. While the heterogeneity of […]
SEC-BlockEdge
Internet of Things (IoT), together with fifth-generation (5G) mobile systems and related enabling communication technologies, constantly contributing for the enhancement in various […]
Multi-antenna Interference Management for Coded Caching
A multi-antenna broadcast channel scenario is considered where a base station delivers contents to cache-enabled user terminals. A joint design of coded […]
Automated Visual Defect Detection for Flat Steel Surface
Automated computer-vision-based defect detection has received much attention with the increasing surface quality assurance demands for the industrial manufacturing of flat steels. […]
One pixel image and RF signal based split learning for mmwave received power prediction
Focusing on the received power prediction of millimeter-wave (mmWave) radio-frequency (RF) signals, we propose a multimodal split learning (SL) framework that integrates […]