A GPU-based Heterogeneous Computing Method to Speed up Wireless Channel Simulation

This paper presents a heterogeneous computing method to accelerate the wireless channel simulation. In this method, the calculation of channel coefficient is divided into several arrays and processed by the CPU(Central Processing Unit) and GPU(Graphics Processing Unit) respectively. Meanwhile, the performance of the method presented above is analyzed. The results show that the calculation time is reduced by 1 to 2 orders compared to the traditional CPU-based method. It is worth mentioning that CUDA (Compute Unified Device Architecture) is chosen as the computing architecture.