5 papers
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
Samuel G. Leitch, Qasim Zeeshan Ahmed, Ben Van Herbruggen +5
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the…
Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks
Riya Dinesh Deshpande, Faheem A. Khan, Qasim Zeeshan Ahmed
As the number of devices getting connected to the vehicular network grows exponentially, addressing the numerous challenges of effectively allocating spectrum in dynamic vehicular…
Optimal Photodetector Size for High-Speed Free-Space Optics Receivers
Muhammad Salman Bashir, Qasim Zeeshan Ahmed, Mohamed-Slim Alouini
The selection of an optimal photodetector area is closely linked to the attainment of higher data rates in optical wireless communication receivers. If the photodetector area is to…
Feature-Based Generalized Gaussian Distribution Method for NLoS Detection in Ultra-Wideband (UWB) Indoor Positioning System
Fuhu Che, Qasim Zeeshan Ahmed, Jaron Fontaine +4
Non-Line-of-Sight (NLoS) propagation condition is a crucial factor affecting the precision of the localization in the Ultra-Wideband (UWB) Indoor Positioning System (IPS). Numerous…
Novel Fine-Tuned Attribute Weighted Naïve Bayes NLoS Classifier for UWB Positioning
Fuhu Che, Qasim Zeeshan Ahmed, Fahd Ahmed Khan +1
In this paper, we propose a novel Fine-Tuned attribute Weighted Naïve Bayes (FT-WNB) classifier to identify the Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) for UltraWide Bandw…