DPD

In this project, we aimed to correct the nonlinearities in a subband. This may be useful in scenarios with carrier aggregation and can allow for DPD with a reduced sampling rate when compared to the usual 3-5x upsampling requirement.

The nonlinearities of power amplifiers in massive MIMO arrays introduce unwanted spectral regrowth, which is typically avoided via …

I released a new version of my DPD library for Matlab yesterday. You can find the source code here. This software can enable you to easily add DPD to any of your Matlab based wireless prototyping.

The two papers I was involved with and submitted to Asilomar this year were accepted. The first paper is “Neural Network DPD via Backpropagation through a Neural Network Model of the PA.

I have a new preprint available for my submission to the 2019 IEEE International Workshop on Signal Processing Systems in Nanjing, China. The paper is titled “Design and Implementation of a Neural Network Based Predistorter for Enhanced Mobile Broadband” and is available here.

The ECE Corporate Affiliates Day was recently on March 29th. I was involved in two research posters. 1st was the neural network based DPD that I am working on with our VIP team.

One of my papers from 2017 was given a shoutout by Derek Kozel in February 2019 at the FOSDEM conference. The talk is shown is an overview of DPD and is on YouTube here.