Paper Info
Title
Hardware-Accelerated Real-Time Stream Data Processing on Android with GNU Radio
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.
Year
DOI
Venue
2020
10.1145/3411276.3412184
MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking London United Kingdom September, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-8082-9
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Bastian Bloessl100.68
Lars Baumgärtner200.68
Matthias Hollick375097.29