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Hardware-Accelerated Real-Time Stream Data Processing on Android with GNU Radio

Bloessl, Bastian and Baumgärtner, Lars and Hollick, Matthias (2020):
Hardware-Accelerated Real-Time Stream Data Processing on Android with GNU Radio.
ACM, In: Proceedings of the 14th International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization, London, United Kingdom, September 2020, pp. 103-109, ISBN 978-1-4503-8082-9,
DOI: 10.1145/3411276.3412184,
[Online-Edition: https://dl.acm.org/doi/10.1145/3411276.3412184],
[Conference or Workshop Item]

Abstract

With the ever-increasing performance of smartphones and tablets, they become viable platforms for applications that were, in the past, only possible on desktops or laptops. In this paper, we study their applicability for real-time stream-data processing, which is particularly interesting for Software Defined Radio (SDR) applications, enabling wireless measurement and experimentation campaigns on mobile platforms. To this end, we port GNU Radio, a state-of-theart, open source, real-time stream-data processing framework, to Android and evaluate its performance. We show that it is possible to fully benefit from available accelerators, i.e., Single Instruction Multiple Data (SIMD) and the Graphics Processing Unit (GPU), which provide considerable speedups and allow for efficient implementations. As a general-purpose real-time data processing framework, GNU Radio can provide the base for a wide range of applications. To demonstrate its flexibility, we provide example applications that implement FM and Wireless LAN (WLAN). Our toolchain is published as open source software, thus serving as an enabler for highly mobile SDR applications.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Bloessl, Bastian and Baumgärtner, Lars and Hollick, Matthias
Title: Hardware-Accelerated Real-Time Stream Data Processing on Android with GNU Radio
Language: English
Abstract:

With the ever-increasing performance of smartphones and tablets, they become viable platforms for applications that were, in the past, only possible on desktops or laptops. In this paper, we study their applicability for real-time stream-data processing, which is particularly interesting for Software Defined Radio (SDR) applications, enabling wireless measurement and experimentation campaigns on mobile platforms. To this end, we port GNU Radio, a state-of-theart, open source, real-time stream-data processing framework, to Android and evaluate its performance. We show that it is possible to fully benefit from available accelerators, i.e., Single Instruction Multiple Data (SIMD) and the Graphics Processing Unit (GPU), which provide considerable speedups and allow for efficient implementations. As a general-purpose real-time data processing framework, GNU Radio can provide the base for a wide range of applications. To demonstrate its flexibility, we provide example applications that implement FM and Wireless LAN (WLAN). Our toolchain is published as open source software, thus serving as an enabler for highly mobile SDR applications.

Publisher: ACM
ISBN: 978-1-4503-8082-9
Uncontrolled Keywords: emergenCITY_KOM; emergenCITY_INF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
20 Department of Computer Science > Software Technology
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LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Event Title: Proceedings of the 14th International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization
Event Location: London, United Kingdom
Event Dates: September 2020
Date Deposited: 29 Sep 2020 07:55
DOI: 10.1145/3411276.3412184
Official URL: https://dl.acm.org/doi/10.1145/3411276.3412184
Additional Information:

within The 26th Annual International Conference on Mobile Computing and Networking

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