Feasibility Study of Wireless Sensing with UE-Assisted SAR Imaging Scheme

Digital twin technology, envisioned as a cornerstone of sixth-generation (6G) networks, demands robust capabilities for dynamic and real-time environmental reconstruction. Wireless sensing plays a pivotal role in enabling digital twin systems, yet significant challenges persist. High-resolution wireless imaging typically requires large array apertures, which are often accompanied by prohibitive deployment costs and implementation complexity. This paper addresses these limitations by proposing a user equipment (UE)-assisted synthetic aperture radar (SAR) imaging scheme. The proposed approach exploits UE mobility to emulate a synthetic aperture, enabling high-resolution imaging while reusing existing wireless communication infrastructure. Advanced image reconstruction algorithms, including back projection (BP) and Fourier transform (FT)-based methods, are employed to process echo signals and accurately reconstruct target scenes. To validate the feasibility of the scheme under realistic channel conditions, typical configurations aligned with current network deployments are adopted, and ray-tracing-based channel modeling is applied to representative local areas within urban environments such as Munich and Paris. Preliminary simulation results show that, with a carrier frequency of 3.5 GHz and a bandwidth of 100 MHz, the proposed scheme achieves meter-level resolution in reconstructing building envelopes and capturing distinct structural details. These findings demonstrate the feasibility, scalability, and cost-effectiveness of the UE-assisted SAR imaging framework, paving the way for practical wireless sensing and digital twin applications in future 6 G urban environments.