Eintrag in der Universitätsbibliographie der TU Chemnitz
Abdallah, Boubaker ; Chéour, Rym ; Ktari, Jalel ; Kanoun, Olfa
ML-Based Multi-Task Framework for Wireless Link Quality Assessment and Performance Prediction
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3315-8399-6 ; Print on Demand(PoD) ISBN: 979-8-3315-8400-9 ; Electronic ISSN: 2474-0446 ; Print on Demand(PoD) ISSN: 2474-0438 | |
| DOI: | doi:10.1109/ssd69655.2026.11558915 | |
| URL/URN: | https://ieeexplore.ieee.org/document/11558915 | |
| Quelle: | 2026 IEEE 23rd International Multi-Conference on Systems, Signals & Devices (SSD), 30 March 2026 - 02 April 2026, Catania, Italy, pp. 312-317. - IEEE, 2026 | |
| Freie Schlagwörter (Englisch): | Wireless Communication , Link Quality Classification , BER , Throughput , ML , Random Forest Classifier , Gradient Boosting Regressor , Channel Effects , Signal-to-Noise Ratio , Adaptive Communication Systems , Rayleigh Fading , Rician Fading , Nakagami Fading , AWGN |
