42 citations · 52 across the 5 of their papers we have counts for
5 papers
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation
Lei Chu, Abdullah Alghafis, Andreas F. Molisch
Localization in GPS-denied outdoor locations, such as street canyons in an urban or metropolitan environment, has many applications. Machine Learning (ML) is widely used to tackle…
A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
Daoud Burghal, Ashwin T. Ravi, Varun Rao +2
The last few decades have witnessed a growing interest in location-based services. Using localization systems based on Radio Frequency (RF) signals has proven its efficacy for both…
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation
Rusheng Zhang, Romain Leteurtre, Benjamin Striner +3
Partially Detected Intelligent Traffic Signal Control (PD-ITSC) systems that can optimize traffic signals based on limited detected information could be a cost-efficient solution f…
Using Ultra-Wideband Technology in Vehicles for Infrastructure-free Localization
Rusheng Zhang, Lin Song, Adhishree Jaiprakash +5
In this paper, we investigate using Ultra-Wideband (UWB) technology in vehicles for localization as well as other possible infrastructure-free applications. To that end, we first i…
Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional Antennas
Daoud Burghal, Rui Wang, Abdullah Alghafis +1
Many wireless networks, including 5G NR (New Radio) and future beyond 5G cellular systems, are expected to operate on multiple frequency bands. This paper considers the band assign…