ISAC Channel Measurements and Modeling Methodology
Wenfei Yang, Yi Chen, Yunhao Zhang, Ziming Yu, Min Zhang
Abstract
Integrated sensing and communication (ISAC) techniques are considered as promising features for the 6G. A new framework of ISAC channel model is desired for future system performance evaluations. This paper proposes a geometry-based stochastic ISAC channel model applicable to both mono- and bi-static sensing modes within the 3GPP channel model framework. The sensing channel model consists of two components, namely the target-related component and the background component, which are characterized separately. Key features of ISAC channels are addressed in the proposed model, by flexibly supporting various sensing modes and propagation scenarios, properties of sensing targets, the correlation between communication and sensing channels, and the spatial and temporal consistency. A sensing target of interest is described by multi-scattering centers (MSCs) to express the impact of size, shape, orientation, gesture, and material electromagnetic (EM) properties of the target on propagation channels. Moreover, this paper introduces channel measurements mimicking mono-static sensing conducted in an outdoor environment at 10 GHz. Channel statistical parameters are obtained from the measured data to demonstrate the parameterization of mono-static sensing channels.