3D visualizations of advanced antenna systems beams

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master_Zhou_Jinyao_2025.pdf (4.66 MB)

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School of Electrical Engineering | Master's thesis
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Date

2025-05-21

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Major/Subject

Autonomous Systems

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Degree programme

Master's Programme in ICT Innovation

Language

en

Pages

63

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Abstract

The advancement of advanced antenna technologies in 5G and 6G networks drives an increasing demand for interactive software tools capable of visualizing multi-antenna precoded beams. The main challenge this research addresses is the high computational expense of CPU-based beam visualization, which restricts both real-time performance and scalability. The research project assesses different GPU frameworks alongside latency minimization approaches while developing an interactive visualization system for the wireless communication industry. The research achieves its main goal by integrating beamforming algorithms into visualization software through GPU acceleration, which produces faster analysis of antenna beam patterns while supporting digital twins realization of wireless systems. The development of an accurate beam gain computation framework proved to be a crucial technical barrier. Performance evaluations demonstrate that time required for visualization through GPU-based implementations decreases substantially compared to CPU-based methods, thus enabling real-time beam analysis. The solution presented in this thesis combines GPU computing with real-time rendering and user-centered design to create a scalable platform for analyzing advanced antenna systems. The research results will help develop future wireless research and educational tools that need fast feedback and visualization of intricate beamforming scenarios in future communication networks.

Description

Supervisor

Zhou, Quan

Thesis advisor

Mohamad, Medhat

Keywords

beamforming visualization, GPU acceleration, advanced antenna systems, USDView, real-time rendering, 5G/6G networks

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https://urn.fi/URN:NBN:fi:aalto-202506164711

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