100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ

Marius Šiaučiulis; David Northcote; Josh Goldsmith; Louise H. Crockett; Šarūnas Kaladė

doi:10.1109/NEWCAS57931.2023.10198070

100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ

Marius Šiaučiulis, David Northcote, Josh Goldsmith, Louise H. Crockett, Šarūnas Kaladė

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

491 Downloads (Pure)

Abstract

Modern software defined radio systems are capable of multi-gigabit-per-second sampling rates producing unprecedented amounts of digitized RF data. In applications such as wideband spectrum sensing and machine learning algorithms for cognitive radio, prototyping, and instrumentation, it is often impractical to process the acquired data locally in real-time. This motivates the need for a high speed connection to offload data to an accelerator application running on a secondary processing resource. In this paper, we present a novel hardware and software co-design using the AMD RFSoC 4x2 platform, PYNQ and GNU Radio projects. The demonstrated system is capable of continuous 80GBit/s offload in a 100GBit/s channel, utilising a GPU acceleration to rapidly process the Fast Fourier Transforms of a full 2GHz bandwidth RF signal at 60 frames per second.

Original language	English
Title of host publication	2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	9798350300246
ISBN (Print)	9798350300253
DOIs	https://doi.org/10.1109/NEWCAS57931.2023.10198070
Publication status	Published - 7 Aug 2023
Event	21st IEEE Interregional New Circuit and Systems (NEWCAS) Conference: An IEEE CAS Society Interregional Flagship Conference - John McIntyre Conference Centre, Edinburgh, United Kingdom Duration: 26 Jun 2023 → 28 Jun 2023 https://2023.ieee-newcas.org/

Publication series

Name	IEEE Interregional NEWCAS Conference (NEWCAS)
Publisher	IEEE
ISSN (Electronic)	2474-9672

Conference

Conference	21st IEEE Interregional New Circuit and Systems (NEWCAS) Conference
Abbreviated title	IEEE NEWCAS 2023
Country/Territory	United Kingdom
City	Edinburgh
Period	26/06/23 → 28/06/23
Internet address	https://2023.ieee-newcas.org/

Keywords

high speed offload
GNU Radio
PYNQ
soft-ware defined radio
Zynq UltraScale+ RFSoC
hardware soft-ware co-design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/NEWCAS57931.2023.10198070

Siauciulis-etal-NEWCAS2023-100GBit-s-RF-sample-offload-for-RFSoCAccepted author manuscript, 1.1 MBLicence: Strath_1

Cite this

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title = "100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ",

abstract = "Modern software defined radio systems are capable of multi-gigabit-per-second sampling rates producing unprecedented amounts of digitized RF data. In applications such as wideband spectrum sensing and machine learning algorithms for cognitive radio, prototyping, and instrumentation, it is often impractical to process the acquired data locally in real-time. This motivates the need for a high speed connection to offload data to an accelerator application running on a secondary processing resource. In this paper, we present a novel hardware and software co-design using the AMD RFSoC 4x2 platform, PYNQ and GNU Radio projects. The demonstrated system is capable of continuous 80GBit/s offload in a 100GBit/s channel, utilising a GPU acceleration to rapidly process the Fast Fourier Transforms of a full 2GHz bandwidth RF signal at 60 frames per second.",

keywords = "high speed offload, GNU Radio, PYNQ, soft-ware defined radio, Zynq UltraScale+ RFSoC, hardware soft-ware co-design",

author = "Marius {\v S}iau{\v c}iulis and David Northcote and Josh Goldsmith and Crockett, {Louise H.} and {\v S}arūnas Kaladė",

note = "{\textcopyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 21st IEEE Interregional New Circuit and Systems (NEWCAS) Conference : An IEEE CAS Society Interregional Flagship Conference, IEEE NEWCAS 2023 ; Conference date: 26-06-2023 Through 28-06-2023",

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month = aug,

day = "7",

doi = "10.1109/NEWCAS57931.2023.10198070",

language = "English",

isbn = "9798350300253",

series = "IEEE Interregional NEWCAS Conference (NEWCAS)",

publisher = "IEEE",

pages = "1--5",

booktitle = "2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)",

url = "https://2023.ieee-newcas.org/",

}

Šiaučiulis, M, Northcote, D, Goldsmith, J , Crockett, LH & Kaladė, Š 2023, 100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ. in 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS). IEEE Interregional NEWCAS Conference (NEWCAS), IEEE, Piscataway, NJ, pp. 1-5, 21st IEEE Interregional New Circuit and Systems (NEWCAS) Conference, Edinburgh, United Kingdom, 26/06/23. https://doi.org/10.1109/NEWCAS57931.2023.10198070

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T1 - 100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ

AU - Šiaučiulis, Marius

AU - Northcote, David

AU - Goldsmith, Josh

AU - Crockett, Louise H.

AU - Kaladė, Šarūnas

N1 - © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2023/8/7

Y1 - 2023/8/7

N2 - Modern software defined radio systems are capable of multi-gigabit-per-second sampling rates producing unprecedented amounts of digitized RF data. In applications such as wideband spectrum sensing and machine learning algorithms for cognitive radio, prototyping, and instrumentation, it is often impractical to process the acquired data locally in real-time. This motivates the need for a high speed connection to offload data to an accelerator application running on a secondary processing resource. In this paper, we present a novel hardware and software co-design using the AMD RFSoC 4x2 platform, PYNQ and GNU Radio projects. The demonstrated system is capable of continuous 80GBit/s offload in a 100GBit/s channel, utilising a GPU acceleration to rapidly process the Fast Fourier Transforms of a full 2GHz bandwidth RF signal at 60 frames per second.

AB - Modern software defined radio systems are capable of multi-gigabit-per-second sampling rates producing unprecedented amounts of digitized RF data. In applications such as wideband spectrum sensing and machine learning algorithms for cognitive radio, prototyping, and instrumentation, it is often impractical to process the acquired data locally in real-time. This motivates the need for a high speed connection to offload data to an accelerator application running on a secondary processing resource. In this paper, we present a novel hardware and software co-design using the AMD RFSoC 4x2 platform, PYNQ and GNU Radio projects. The demonstrated system is capable of continuous 80GBit/s offload in a 100GBit/s channel, utilising a GPU acceleration to rapidly process the Fast Fourier Transforms of a full 2GHz bandwidth RF signal at 60 frames per second.

KW - high speed offload

KW - GNU Radio

KW - PYNQ

KW - soft-ware defined radio

KW - Zynq UltraScale+ RFSoC

KW - hardware soft-ware co-design

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DO - 10.1109/NEWCAS57931.2023.10198070

M3 - Conference contribution book

SN - 9798350300253

T3 - IEEE Interregional NEWCAS Conference (NEWCAS)

SP - 1

EP - 5

BT - 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)

PB - IEEE

CY - Piscataway, NJ

T2 - 21st IEEE Interregional New Circuit and Systems (NEWCAS) Conference

Y2 - 26 June 2023 through 28 June 2023

ER -

100GBit/s RF sample offload for RFSoC using GNU Radio and PYNQ

Abstract

Publication series

Conference

Keywords

UN SDGs

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