Roger Varea, S.; Ramiro Sánchez, C.; González Salvador, A.; Almenar Terré, V.; Vidal Maciá, AM. (2012). An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems. Integrated Computer-Aided Engineering. 19(4):341-350. https://doi.org/10.3233/ICA-2012-0410
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35737
Title:
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An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems
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Author:
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Roger Varea, Sandra
Ramiro Sánchez, Carla
González Salvador, Alberto
Almenar Terré, Vicenç
Vidal Maciá, Antonio Manuel
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UPV Unit:
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Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
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Issued date:
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Abstract:
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The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently become attractive for the efficient implementation of signal processing algorithms for communication systems. This is due ...[+]
The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently become attractive for the efficient implementation of signal processing algorithms for communication systems. This is due to the cost-effectiveness of GPUs together with their potential capability of parallel processing. This paper presents an implementation of the widely employed fixed-complexity sphere decoder on GPUs, which allows to considerably decrease the computational time required for the data detection stage in multiple-input multiple-output systems. Both, the hard-and soft-output versions of the method have been implemented. Speedup results show the proposed GPU implementation boosts the runtime of the parallel execution of the methods in a high performance multi-core CPU. In addition, the throughput of the algorithm is evaluated and is shown to outperform other recent implementations and to fulfill the real-time requirements of several LTE configurations. ©2012-IOS Press and the authors. All rights reserved.
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Subjects:
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GPU
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MIMO detection
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Sphere decoding
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Computational time
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Data detection
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Efficient implementation
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General purpose graphic processing units
,
GPU implementation
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Many-core
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Multi core
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Multiple input multiple output system
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Parallel executions
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Parallel processing
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Potential capability
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Real time requirement
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Runtimes
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Signal processing algorithms
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Soft output
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Sphere decoders
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Wireless systems
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Algorithms
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Communication systems
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Decoding
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MIMO systems
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Signal processing
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Program processors
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Integrated Computer-Aided Engineering. (issn:
1069-2509
) (eissn:
1875-8835
)
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DOI:
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10.3233/ICA-2012-0410
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Publisher:
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IOS Press
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Publisher version:
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http://dx.doi.org/10.3233/ICA-2012-0410
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Project ID:
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info:eu-repo/grantAgreement/MICINN//TEC2009-13741/ES/Spatial Audio Systems Based On Massive Parallel Processing Of Multichannel Acoustic Signals With General Purpose-Graphics Processing Units (Gp-Gpu) And Multicores/ /
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/
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Thanks:
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This work was partially funded by the TEC2009-13741 project of the Spanish Ministry of Science and by the PROMETEO/2009/013 project of the Generalitat Valenciana.
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Type:
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Artículo
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