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