DocumentCode
3754132
Title
Mobile GPU accelerated digital predistortion on a software-defined mobile transmitter
Author
Kaipeng Li;Amanullah Ghazi;Jani Boutellier;Mahmoud Abdelaziz;Lauri Anttila;Markku Juntti;Mikko Valkama;Joseph R. Cavallaro
Author_Institution
Rice University, Dept. Electrical and Computer Engineering, Houston, TX, USA
fYear
2015
Firstpage
756
Lastpage
760
Abstract
We present the design exploration and the performance evaluation of a mobile transmitter digital predistortion (DPD) module on a mobile GPU. Digital predistortion is a widely used technique for suppressing the spurious spectrum emission caused by the imperfection of power amplifier and radio frequency (RF) circuits in a real wireless transmitter. Considering the parallel architecture, numerous computing cores and programmability of GPU, in this work, a DPD design based on augmented parallel Hammerstein structure is implemented on a mobile GPU integrated in an Nvidia Jetson TK1 mobile development board, targeting at a mobile transmitter. The algorithm level and data level parallelism are carefully explored for efficient mapping of the DPD algorithm and full utilization of the mobile GPU resources. We analyze the throughput and timing performance of our implementation and verify the functionality of DPD experimentally on a novel software-defined mobile terminal. The results show that our proposed mobile GPU driven digital predistortion design not only achieves real-time high performance, but also offers programmability and reconfigurability for design upgrading and extension.
Keywords
"Graphics processing units","Kernel","Mobile communication","Predistortion","Radio transmitters","Baseband","Signal processing algorithms"
Publisher
ieee
Conference_Titel
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on
Type
conf
DOI
10.1109/GlobalSIP.2015.7418298
Filename
7418298
Link To Document