An enhanced preprocessing dependent image theory algorithm for indoor coverage solutions

摘要

Hot spot coverage requirements of indoor environments necessitate adequate network platforms and optimal network planning. Optimal network planning imposes successive iterative computations and evaluations of network coverage until the best antenna layout is attained. Accordingly, accurate and scalable indoor propagation models become of the ultimate essence. In this paper, an efficient methodology for feasible reflection region assessment is developed to enhance a recently proposed preprocessing dependent image theory based ray tracing algorithm. The feasible reflection region depicts reception point grids of the indoor layout under study that fall within the foot print of a given transmitter image. The methodology proposed in this paper utilizes the intersection points between the stored preprocessing bounds of the feasible reflection region with lines that are drawn parallel to the walls of the indoor layout to achieve significant computational enhancements in the feasible reflection region assessment phase of the indoor coverage computations. The proposed enhanced ray tracing algorithm is tested in different indoor configurations. Simulation results confirm the major computational gain attained through the proposed enhancements while maintaining computational accuracy.