5 papers
Illuminating the Path: Attention-Assisted Beamforming and Predictive Insights in 5G NR Systems
Dino PjaniÄ, Guoda Tian, Andres Reial +3
Artificial intelligence advances have recently influenced wireless communications, including beam management in fifth-generation (5G) new radio systems. AI-driven models and algori…
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization
Ilayda Yaman, Guoda Tian, Dino Pjanic +4
Radio-based localization in dynamic environments, such as urban and vehicular settings, requires systems that efficiently adapt to varying signal conditions and environmental chang…
Attention-aided Outdoor Localization in Commercial 5G NR Systems
Guoda Tian, Dino PjaniÄ, Xuesong Cai +2
The integration of high-precision cellular localization and machine learning (ML) is considered a cornerstone technique in future cellular navigation systems, offering unparalleled…
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Martin Larsson +11
We present a synchronized multisensory dataset for accurate and robust indoor localization: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes colo…
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
Ilayda Yaman, Guoda Tian, Erik Tegler +7
We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors usin…