An Efficient Indoor Radio Wave Propagation Model Based On LOLA-Voronoi Adaptive Grid Division

With the increasing popularity of intelligent mobile terminal equipment and 5G network applications,electromagnetic data with spatial location characteristics are playing an increasing role in daily life and social activities.As an indispensable part of the total factor scene,the design and application of the wireless communication system of indoor scene has gradually become the focus of research in related fields,such as indoor wireless network planning,indoor positioning based on WIFI location fingerprints,and indoor electromagnetic exposure evaluation,and so on.The performance effectiveness of these applications is closely related to the choice of indoor radio wave propagation model.In this paper,a comprehensive analysis of the indoor propagation model is carried out,and the optimization method is studied from two aspects: prediction accuracy improvement and prediction efficiency improvement.The detailed research contents are summarized as follows:(1)The development history and research status of indoor radio wave propagation models are briefly described.Several classic models are compared and analyzed to describe the existing shortcomings.(2)Aiming at solving the problem that the empirical model cannot support detailed scene information and its low prediction accuracy,this paper uses the MATLAB to build an indoor radio wave propagation model based on ray tracing.A two-dimensional map data file is used to construct a three-dimensional indoor environment and the image method is applied to determine the propagation path of the ray.The uncertainty parameter in the traditional empirical model will be replaced by the deterministic one calculated from ray tracing.The proposed model keeps the accuracy of the indoor propagation prediction while maintaining the intuitiveness of the empirical model.(3)Due to the high communication frequency at present,the uniform division of space will lead to high computing cost and low efficiency,therefore,this paper proposes a high-efficiency indoor radio wave propagation model(HPMO).The model adaptively divides the research space and obtains a small number of nodes to be solved according to the LOLA-Voronoi(Local Linear Approximation-Voronoi)hybrid strategy,and reconstructs the power distribution in the entire research space based on these few data points.The obtained nodes are more concentrated in areas where the power value changes drastically,thereby effectively capturing complex information,and reducing the computing resources while maintaining the prediction accuracy as much as possible.(4)The indoor radio wave propagation prediction results achieved in this paper are verified by the simulation results of Win Prop in the same scene to verify the accuracy and validity.