AI driven Digital Predistortion Techniques for Multi-Band/MIMO Wireless phased Array Transmitters

#Artificial #INtelligence #(AI) #Digital #predistortion #(DPD) #Multiple-input-multiple-output #(MIMO) #Neural-NEtworks #(NN) #non-linear #systems #montreal #artificial #intelligence #circuits

:  This talk discusses AI/ML-based techniques to model and mitigates nonlinear distortion and hardware impairments of Radios intended for 5G and beyond wireless networks. The talk focuses on the neural network  (NN) based digital pre-distortion techniques for linearizing multi-band, and multiple-input multiple-output  (MIMO) phased array transmitters. We will review the most popular NN-based behavioral models using Deep Neural Networks, Augmented Neural Networks, and Shallow Neural Networks. The talk will concentrate on various aspects of DPD implementation using AI/ML techniques and discuss the evolution of NN-based DPD modeling techniques for dynamic nonlinear systems. We will also present State-of-the-art approaches such as Real-Valued Focused Time-Delay Neural Network. (RVFTDNN) and Convolutional Neural Networks  (CNN) and discuss their suitability for in-field applications. These models' performance will be assessed in terms of their capability to mitigate the transmitter's distortion and hardware impairments such as antenna's crosstalk, PA's nonlinearity, I/Q imbalance, and dc offset for multi-band and MIMO applications for 5G and 6G applications.

  Date and Time




  • Date: 08 Sep 2022
  • Time: 12:30 PM to 03:00 PM
  • All times are (GMT-05:00) America/Montreal
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  • 2500 Chemin de Polytechnique
  • Montreal, Quebec
  • Canada H3T1J4
  • Building: Pavillons Lassonde
  • Room Number: M-2110

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  • Co-sponsored by Staracom
  • Starts 18 August 2022 09:32 AM
  • Ends 08 September 2022 12:00 PM
  • All times are (GMT-05:00) America/Montreal
  • 4 in-person spaces left!
  • No Admission Charge


Prof. Fadhel Ghannouchi Prof. Fadhel Ghannouchi


AI driven Digital Predistortion Techniques for Multi-Band/MIMO Wireless phased Array Transmitters.


Prof. Fadhel M. Ghannouchi is currently a professor, Alberta Innovates/Canada Research Chair and Director of the iRadio Laboratory in the Department of Electrical and Software Engineering at the University of Calgary, Alberta, Canada, an Adjunct Professor with the department of genie électrique, Ecole Polytechnique de Montreal and a part-time invited distinguished Professor at the Department of Electronics Engineering, Tsinghua University, Beijing China. His research interests are in the areas of RF and wireless communications, nonlinear modeling of microwave devices and communications systems, design of power- and spectrum-efficient microwave amplification systems and design of SDR systems for wireless, optical and satellite communications applications. He is Fellow of the Academy of Science of the Royal Society of Canada, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, and Fellow of the Institute of Electrical and Electronic Engineering (IEEE).