Line of sight (LoS)/non-line of sight (NLoS) point identification in wireless communication networks using artificial intelligence
Abstract:
A method for performing line-of-sight (LoS)/non-line-of-sight (NLoS) filtering includes collecting, from at least one user equipment (UE) operating within a coverage area of a base station, a plurality of measurement reports from the at least one UE, wherein each measurement report of the plurality of measurement reports comprises a measured value of a signal parameter and location information of the at least one UE. The method further includes training a LoS/NLoS classification model on the plurality of measurement reports, obtaining a new measurement report from a UE operating at a first location within the coverage area of the base station and passing the new measurement report from the UE to the trained LoS/NLoS classification model to obtain a LoS/NLoS classification of the first location.
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