4 citations · 7 across the 9 of their papers we have counts for
9 papers
Illuminating the Path: Attention-Assisted Beamforming and Predictive Insights in 5G NR Systems
Dino Pjanić, 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 Pjanić, 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…
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…
High-Precision Machine-Learning Based Indoor Localization with Massive MIMO System
Guoda Tian, Ilayda Yaman, Michiel Sandra +3
High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine…
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…
Sensing and Classification Using Massive MIMO: A Tensor Decomposition-Based Approach
B. R. Manoj, Guoda Tian, Sara Gunnarsson +2
Wireless-based activity sensing has gained significant attention due to its wide range of applications. We investigate radio-based multi-class classification of human activities us…
Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data
B. R. Manoj, Guoda Tian, Sara Gunnarsson +2
Classification between different activities in an indoor environment using wireless signals is an emerging technology for various applications, including intrusion detection, patie…
Amplitude and Phase Estimation for Absolute Calibration of Massive MIMO Front-Ends
Guoda Tian, Harsh Tataria, Fredrik Tufvesson
Massive multiple-input multiple-output (MIMO) promises significantly higher performance relative to conventional multiuser systems. However, the promised gains of massive MIMO syst…