Salihu, A. (2024). Wireless localization via learned channel features in massive MIMO systems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.80622
mobile communications; wireless localization; machine learning
en
Abstract:
In this dissertation, advanced ML algorithms for enhanced wireless localization are proposed. Motivated by the capabilities of deep neural networks (DNNs) and the advancements in massive multiple-input-multiple-output (MIMO) systems, the dissertation aims to address some of the fundamental limitations of ML-based localization approaches related to dependability, generalization, and data scarcity.The dissertation has three main parts, each dedicated to addressing specific challenges and introducing new algorithms.
