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GPU-accelerated SDR Implementation of a Multi-User Detector for Satellite Return Links

Tang, Chen and Lázaro Blasco, Francisco (2014) GPU-accelerated SDR Implementation of a Multi-User Detector for Satellite Return Links. GPU Technology Conference (GTC) 2014, 24-27 Mar 2014, San Jose, USA.

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Abstract

In the past decade new satellite applications have emerged, which require a bidirectional satellite link. Due to the scarcity and high cost of satellite frequency spectrum, it is very important to utilize the available spectrum as efficiently as possible. The efficient usage of the spectrum in the satellite return link is a challenging task, especially if multiple users are present. In previous works Multi-User Detection (MUD) techniques have been widely studied to increase the spectral efficiency of the satellite return link. However, due to the high computational complexity and its sensitivity to synchronization and channel estimation errors, only few implementations of MUD for satellite communications exist. In this paper a novel Graphics Processing Unit (GPU)-based Software Defined Radio (SDR) implementation of a MUD receiver for transparent satellite return link is presented, which uses iterative channel estimation and decoding. In addition to its high flexibility and low cost, with the GPU acceleration our SDR MUD receiver implementation achieves a decoding throughput of 290 Kbps, which is sufficient to operate in real time in satellite return links.

Item URL in elib:https://elib.dlr.de/89843/
Document Type:Conference or Workshop Item (Speech)
Title:GPU-accelerated SDR Implementation of a Multi-User Detector for Satellite Return Links
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tang, ChenChen.Tang (at) dlr.deUNSPECIFIED
Lázaro Blasco, FranciscoDLRUNSPECIFIED
Date:26 March 2014
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:muti-user detection, satellite return link, successive interference cancellation, software defined radio, GPU
Event Title:GPU Technology Conference (GTC) 2014
Event Location:San Jose, USA
Event Type:international Conference
Event Dates:24-27 Mar 2014
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben Multimedia Satellitennetze
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Satellite Networks
Deposited By: Tang, Chen
Deposited On:26 Sep 2014 13:10
Last Modified:31 Jul 2019 19:47

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