Results show that the proposed method improves the accuracy of previous approaches, while still maintaining a low computational complexity. During assessment, the proposed method is compared with traditional approaches of estimating cell range. The method is tested with a real dataset taken from a live LTE network. The inputs of the method are site locations, antenna azimuths, and antenna horizontal beamwidths. In this work, a novel geometrical method for estimating the cell range based on Voronoi tessellation is presented. With the advent of new radio access technologies, it is not easy to obtain a good estimate of the nominal cell range on a cell-by-cell basis due to the complexity of physical layout in a real network. In cellular networks, cell range is a key parameter for network planning and optimization.
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