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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Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal
Instituto de Telecomunicaçõoes Universidade de Aveiro, Aveiro, Portugal