MACHINE LEARNING BASED GENERALIZED EQUIVALENT ISOTROPICALLY RADIATED POWER CONTROL

Abstract: systems, methods, apparatuses, and computer program products for machine learning based generalized equivalent isotropically radiated power control are provided. for example, a method may include receiving a plurality of input parameters. the input parameters can describe a directional portion of a radiation pattern of an antenna array and a weighting to be applied to the antenna array. the method may further include processing the plurality of input parameters using a trained neural network. the method may also include providing an output representative of equivalent isotropically radiated power associated with the plurality of input parameters.

Inventor(s): Aliye KAYA, Wolfgang Ulrich AICHMANN, Mahnaz SINAIE

CPC Classification: H04B17/3913 (Modelling the propagation channel)

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