5G Positioning Advancements with AI/ML

no code implementations • 10 Nov 2023 • Mohammad Alawieh, Georgios Kontes

This paper provides a comprehensive review of AI/ML-based direct positioning within 5G systems, focusing on its potential in challenging scenarios and conditions where conventional methods often fall short.

Management

Towards Realistic Statistical Channel Models For Positioning: Evaluating the Impact of Early Clusters

no code implementations • 16 Jul 2022 • Mohammad Alawieh, George Yammine, Ernst Eberlein, Birendra Ghimire, Norbert Franke, Stephan Jäckel, Tobias Feigl, Christopher Mutschler

Based on our measurement and simulation results, we propose a model for incorporating the signal reflection by obstacles in the vicinity of transmitter or receiver, so that the outcome of the model corresponds to the measurement made in such scenario.

Complementary Semi-Deterministic Clusters for Realistic Statistical Channel Models for Positioning

no code implementations • 16 Jul 2022 • Mohammad Alawieh, Ernst Eberlein, Stephan Jäckel, Norbert Franke, Birendra Ghimire, Tobias Feigl, George Yammine, Christopher Mutschler

The models that capture the physical effects observed in a realistic deployment scenario are essential for assessing the potential benefits of enhancements in positioning methods.

Wireless Connectivity in the Sub-THz Spectrum: A Path to 6G

no code implementations • 17 Jan 2022 • Simon Bicaïs, Jean-Baptiste Doré, Majed Saad, Mohammad Alawieh, Faouzi Bader, Jacques Palicot, Yoann Corre, Gregory Gougeon, Emmanuel Faussurier

Wireless communication in millimetre wave bands, namely above 20 GHz and up to 300 GHz, is foreseen as a key enabler technology for the next generation of wireless systems.