An intelligent multipath propagation prediction model using circular representation in microcell design

This paper focuses on introducing a highly efficient data structure that effectively captures the multipath phenomenon needed for accurate propagation modeling and fast propagation prediction. We propose a new object representation procedure called circular representation (CR) of microwave masking objects such as buildings, to improve over the conventional vector representation (VR) form in fast ray tracing. The proposed CR encapsulates a building with a circle represented by a center point and radius. In this configuration, the CR essentially functions as the basic building block for higher geometric structures, enhancing the efficiency more than when VR is used alone. Only one CR is needed to represent one building while several wall vectors are required in VR. As a result, a significant computational reduction can be achieved in ray tracing by the proposed method. Our aim is to show CR as a solution to achieving efficiency in data structuring for effective propagation prediction modeling. We show that the computational load is reduced by the proposed method. Further reduction is shown attainable using the hierarchical structure of CR in a deterministic propagation model, undergoing ray tracing. The simulation results indicate that the proposed CR scheme reduces the computational load proportionally to the number of potential scattering objects while its hierarchical structure achieves about 50% of computational load reduction in the hierarchical Octree structure.