Abstract:
This work presents an efficient neural network-based power amplifier (PA) behavioral model across operating voltage (OV) and carrier frequency nonlinear states. This mode...Show MoreMetadata
Abstract:
This work presents an efficient neural network-based power amplifier (PA) behavioral model across operating voltage (OV) and carrier frequency nonlinear states. This model can reduce the original training dataset size to 8.45% and the time to train to 2% when compared to a behavioral model (BM) trained for all the states. For proof-of-concept, this model is validated with laboratory data over a range of carrier frequencies from 2600 MHz to 3600 MHz, and OV levels from 3.5 V to 5 V.
Published in: 2024 IEEE Radio and Wireless Symposium (RWS)
Date of Conference: 21-24 January 2024
Date Added to IEEE Xplore: 21 February 2024
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