Grid-Based Shadowing Gain Modeling for Handling Dynamic Objects in Wireless Channel Emulation

Adopting deterministic channel modeling (DM) to accurately assess wireless system performance with a wireless channel emulator (WCE) presents a challenge due to the substantial computational time required, which contrasts with the real-time computation demand of WCEs. To address this challenge, a grid-based channel modeling technique has previously been devised. This technique enables real-time emulation of the deterministic channel of the mobile station (MS) by interpolating precomputed path parameters at adjacent grid nodes. However, the current modeling framework cannot account for the shadowing effect caused by moving objects introduced during emulation, primarily due to the static nature of the precomputed parameters. In this paper, grid-based shadowing gain modeling is introduced to incorporate the shadowing effect into the emulated channel. The shadowing contribution at the MS is interpolated from values computed at the grid nodes using the approximated knife-edge diffraction model. The applicability and limitations of the proposed model are investigated analytically and rigorous simulations are provided to numerically validate the proposed method.