Methods and apparatus for coverage prediction and network optimization in 5G new radio networks
Abstract:
A server, method, and computer-readable storage medium for coverage prediction in wireless networks. The server includes a memory storing instructions and a processor operably connected to the memory, which is configured to execute the instructions to cause the server to identify a region of interest (RoI) for the coverage prediction; determine, using a neural network, a set of values for a system performance metric for areas in the RoI, respectively; and generate the coverage prediction for the RoI which associates the areas in the RoI with a determined value in the set of values. The set of values for the system performance metric is determined based on a plurality of data samples for a set of RoIs which include at least one of building height, terrain height, foliage height, clutter data that classifies land cover, line-of-sight indication data, antenna height, and ground truth data for the system performance metric.
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