Sensiverse: A dataset for ISAC study

TL;DR

Sensiverse is a newly released dataset designed to facilitate ISAC research by providing detailed 3D scene models and channel data, enabling evaluation of applications like environment reconstruction and target tracking.

Contribution

The paper introduces Sensiverse, a comprehensive dataset for ISAC research, including data generation methods, formatting, and practical use case examples.

Findings

Dataset supports ISAC research and evaluation

Enables environment reconstruction and target tracking

Facilitates development of channel models for ISAC

Abstract

In order to address the lack of applicable channel models for ISAC research and evaluation, we release Sensiverse, a dataset that can be used for ISAC research. In this paper, we present the method of generating Sensiverse, including the acquisition and formatting of the 3D scene models, the generation of the channel data and associations with Tx/Rx deployment. The file structure and usage of the dataset are also described, and finally the use of the dataset is illustrated with examples through the evaluation of use cases such as 3D environment reconstruction and moving targets.