无线多模态基础模型数据集

无线多模态基础模型数据集深度融合无线信道、三维环境点云与用户运动轨迹信息，涵盖5大城市场景射线追踪仿真与 6G 样机外场实测两类高质量数据，累计超 1200 万个采样点，为无线基础模型的训练、验证与优化提供高价值、多维度的数据支撑。

This wireless multimodal foundation model dataset deeply integrates wireless channel, 3D environmental point cloud, and user motion trajectory information. It covers two categories of high-quality data: ray-tracing simulations in 5 major urban scenarios and field measurement data from 6G prototypes, with a total of over 12 million sampling points. This dataset provides high-value, multi-dimensional data support for the training, validation, and optimization of wireless foundation models.

搜集汇总

背景与挑战

背景概述

该数据集深度整合无线信道数据、3D环境点云和用户移动轨迹，包含基于射线追踪的模拟数据和6G原型系统的实测数据，总计超过1200万个采样点，为无线基础模型的训练、验证和优化提供多维数据支持。数据集覆盖仿真和真实世界无线信道数据以及3D环境表示，支持无线信道建模、预测和跨域传输等研究。