5G-Advanced AI/ML Beam Management: Performance Evaluation with Integrated ML Models

no code implementations • 6 Apr 2024 • Nalin Jayaweera, Andrea Bonfante, Mark Schamberger, Amir Mehdi Ahmadian Tehrani, Tachporn Sanguanpuak, Preetish Tilak, Keeth Jayasinghe, Frederick W. Vook, Nandana Rajatheva

In this study, we discuss different sub-use cases of SBP and TBP and evaluate the beam prediction accuracy of AI/ML models designed for each sub-use case along with AI/ML model generalization aspects.

Management

Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks

no code implementations • 17 Aug 2022 • Alexandros-Apostolos A. Boulogeorgos, Edwin Yaqub, Rachana Desai, Tachporn Sanguanpuak, Nikos Katzouris, Fotis Lazarakis, Angeliki Alexiou, Marco Di Renzo

In more detail, a fast and centralized joint user association, radio resource allocation, and blockage avoidance by means of a novel metaheuristic-machine learning framework is documented, that maximizes the THz networks performance, while minimizing the association latency by approximately three orders of magnitude.

Management

6G White Paper on Localization and Sensing

no code implementations • 2 Jun 2020 • Andre Bourdoux, Andre Noll Barreto, Barend van Liempd, Carlos de Lima, Davide Dardari, Didier Belot, Elana-Simona Lohan, Gonzalo Seco-Granados, Hadi Sarieddeen, Henk Wymeersch, Jaakko Suutala, Jani Saloranta, Maxime Guillaud, Minna Isomursu, Mikko Valkama, Muhammad Reza Kahar Aziz, Rafael Berkvens, Tachporn Sanguanpuak, Tommy Svensson, Yang Miao

This white paper concludes by highlighting foundational research challenges, as well as implications and opportunities related to privacy, security, and trust.