Byrne, Declan, Farrell, Ronan, Madhuwantha, Sidath, Dooley, John and Leeser, Miriam (2018) Digital Pre-distortion Implemented Using FPGA. In: 2018 28th International Conference on Field Programmable Logic and Applications (FPL), 27-31 August 2018, Dublin.
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Abstract
Massive-MIMO and beamforming techniques have
long been proposed as a means of increasing cellular network
capacity and improving signal to interference ratio performance.
The implementation of such systems requires a large number
of signal transmission paths. To realize this, a distributed
array of power amplifiers (PAs) is likely to be needed. These
PAs will possess similar, but unique, characteristics which will
alter over time independently due to temperature drift and
component ageing. In order to operate all PAs in both a linear
and efficient fashion a linearisation technique, such as Digital
Pre-Distortion (DPD), must be used. DPD algorithms benefit
from reconfigurability, low latency and power efficiency, all traits
associated with Field Programmable Gate Arrays (FPGAs). This
demonstration shows how an FPGA, specifically a ZYNQ System
on a Chip (SoC), can be used in tandem with a transceiver board,
the FMCOMMS2, to implement a DPD system.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | 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. |
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: | 13334 |
Depositing User: | Ronan Farrell |
Date Deposited: | 30 Sep 2020 15:12 |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI), European Regional Development Fund |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13334 |
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 |
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