23 October 2013 Parallel acceleration of diffuse scattering model for indoor radio prediction by CUDA
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Abstract
Radio wave propagation prediction is very important for the design of the mobile communication network. The raytracing algorithm is a commonly used computational method for site-specific prediction of the radio channel characteristics of wireless communication systems. However, it does not consider the diffuse scattering. Therefore, an indoor diffuse scattering model which based on diffuse scattering theory and FDTD is established. The diffuse scattering of indoor walls and ceiling and floor is calculated at a series of discrete time instance in this method. In recent years, the compute unified device architecture (CUDA) of NVIDIA takes advantage of the GPU for parallel computing, and greatly improve the speed of computation. Because there is a large number of data to deal with, in order to reduce the computation time, a GPU-based diffuse scattering model for indoor radio prediction is introduced in this paper, which fully utilizes the parallel processing capabilities of CUDA to further improve the computational efficiency. It can be found that good acceleration effect has been achieved.
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Xiao Meng, Li-xin Guo, Wei Tao, "Parallel acceleration of diffuse scattering model for indoor radio prediction by CUDA", Proc. SPIE 8895, High-Performance Computing in Remote Sensing III, 88950N (23 October 2013); doi: 10.1117/12.2029537; https://doi.org/10.1117/12.2029537
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