Byrne, Declan, Farrell, Ronan and Dooley, John (2019) Hardware and latency optimisation for 5G digital pre-distortion. In: 2019 30th Irish Signals and Systems Conference (ISSC). IEEE. ISBN 9781728128009
Preview
RF_hardware.pdf
Download (685kB) | Preview
Abstract
In modern radio frequency (RF) transceivers the
power amplifier (PA) is a central component in terms of power
consumption. Achieving efficient performance in this component
results in the PA output signal becoming distorted. Linearisation
can be performed using techniques such as Digital Pre-Distortion
(DPD). The pre-distorter operation of a DPD system involves
the constant computation of a distorted signal to ensure linear
operation of the nonlinear power amplifier. In this work a
novel polynomial evaluation scheme is proposed to optimise
the pre-distorter operation within a DPD system. Improvements
to latency and hardware requirements are possible with new
techniques. Validation of the proposed design was conducted
using FPGA implementations and compared to incumbent
pipelined solutions for both low latency and hardware efficiency.
The proposed method indicated hardware savings of 67.8%, while
operating 58.7% faster, compared to an existing implementation.
Item Type: | Book Section |
---|---|
Additional Information: | Funding: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. Cite as: D. Byrne, R. Farrell and J. Dooley, "Hardware and Latency Optimisation for 5G Digital Pre-Distortion," 2019 30th Irish Signals and Systems Conference (ISSC), Maynooth, Ireland, 2019, pp. 1-6, doi: 10.1109/ISSC.2019.8904959. |
Keywords: | digital pre-distortion; polynomial evaluation; 5G; FPGA; DSP; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 14204 |
Identification Number: | 10.1109/ISSC.2019.8904959 |
Depositing User: | Ronan Farrell |
Date Deposited: | 18 Mar 2021 15:59 |
Publisher: | IEEE |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI), European Regional Development Fund |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14204 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year