DocumentCode :
714120
Title :
GPU acceleration for fixed complexity sphere decoder in large MIMO uplink systems
Author :
Tianpei Chen ; Leib, Harry
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
771
Lastpage :
777
Abstract :
Large MIMO constitutes a principal technology for next generation wireless communication systems. Detection algorithms for large MIMO schemes tend to require long simulation times on conventional computer systems. In order to improve simulation efficiency of decoders in large MIMO systems, we propose to use General Purpose Graphic Processing Units (GPGPU). This paper considers the implementation of a Fixed Complexity Sphere Decoder (FCSD) for large scale MIMO uplink systems using the framework of GPGPU-Computed Unified Device Architecture (CUDA). Using GPGPU, significant speedups were found for large MIMO systems and constellation sizes, over conventional CPU implementation, while providing the same Bit Error Rate (BER) performance. Hence the proposed approach shows great potential of GPGPU to accelerate computer simulations of large MIMO systems.
Keywords :
MIMO communication; decoding; error statistics; graphics processing units; parallel architectures; BER performance; CPU implementation; CUDA; FCSD; GPGPU; GPU acceleration; bit error rate performance; computed unified device architecture; computer simulations; detection algorithms; fixed complexity sphere decoder; general purpose graphic processing units; large scale MIMO uplink systems; next generation wireless communication systems; Decoding; Graphics processing units; Instruction sets; MIMO; Programming; Random access memory; Signal to noise ratio; Large MIMO; computed unified device architecture (CUDA); fixed complexity sphere decoder (FCSD); general purpose graphic processing units (GPGPU);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129372
Filename :
7129372
Link To Document :
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