Ray Tracing Channel Generation for 6G Scenario Dependent Research

Abraão de Carvalho Albuquerque, Victor Farias Monteiro, Tarcisio Ferreira-Maciel, Diego Aguiar Sousa, Francisco Rafael Marques Lima

DOI: 10.14209/sbrt.2024.1571036796

Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)

Keywords: Ray tracing mobility channel data 6G

Abstract

Some of the envisioned 6G applications, e.g., integrated sensing and communication (ISAC), are scenario dependent, requiring physically accurate knowledge of the scenario. One envisioned solution is to use ray-tracing (RT) based channel models. In this context, this work introduces a methodology for generating scenario-dependent channel samples using RT, allowing for realistic evaluation of wireless networks. The methodology includes defining the geographical area, creating a 3D model, simulating user equipment (UE) movement, and generating channel impulse responses between transmitter (Tx) and receiver (Rx). Computational results in an urban area of Fortaleza, Brazil, demonstrate the effectiveness of the proposed approach, highlighting the importance of considering real-world scenarios instead of statistical channel models.

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