Adaptive Non-Stationary Vehicle-to-Vehicle MIMO Channel Simulator and Emulator

Vehicle-to-vehicle (V2V) is an important sixth generation (6G) communication scenario, and we need to measure the performance of V2V communication systems in a controlled and repeatable channel environment. Hence, a corresponding channel emulator is required. In this paper, we first introduce a non-stationary V2V geometry-based stochastic model (GBSM) that takes into account the birth-death process of clusters and adapts to changes of the V2V scenario. Furthermore, the adaptive non-stationary V2V channel emulator with the birth-death process of clusters is constructed on a field-programmable gate array (FPGA) hardware platform. This channel emulator uses the fading channel generation algorithm of sum-of-frequency-modulation (SoFM) and the sine wave generation algorithm of the look-up table (LUT). Moreover, the important statistical properties of the channel under the theoretical simulation and hardware platform emulation are studied through simulations, e.g., temporal autocorrelation function (TACF), spatial cross-correlation function (SCCF), and delay power spectral density (delay PSD). Results show that the proposed channel emulator and the corresponding theoretical channel model fit well.