- -

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems

Mostrar el registro completo del ítem

Ramiro Sánchez, C.; Simarro Haro, MDLA.; Martínez Zaldívar, FJ.; Vidal Maciá, AM.; Gonzalez, A. (2014). A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. The Journal of Supercomputing. 70(2):541-551. https://doi.org/10.1007/s11227-013-1081-x

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84105

Ficheros en el ítem

[Cerrado]
Nombre: Ramiro;M.A. Simar ...
Tamaño: 1.551Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems
Autor: Ramiro Sánchez, Carla Simarro Haro, Mª de los Angeles Martínez Zaldívar, Francisco José Vidal Maciá, Antonio Manuel Gonzalez, Alberto
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Fecha difusión:
Resumen:
Iterative detection and decoding in communication systems with multiple transmitter and receiver antennas suffer from a significant increase in the computational cost and energy consumption. Nowadays, application of specific ...[+]
Palabras clave: MIMO , ID-BICM , LDPC , GPU , CUDA
Derechos de uso: Cerrado
Fuente:
The Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-013-1081-x
Editorial:
Springer Verlag
Versión del editor: http://dx.doi.org/10.1007/s11227-013-1081-x
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F013/ES/Computacion de altas prestaciones sobre arquitecturas actuales en porblemas de procesado múltiple de señal/
Agradecimientos:
This work has been supported by European Union ERDF and Spanish Government through TEC2012-38142-C04 project and Generalitat Valenciana through PROMETEO/2009/013 project.
Tipo: Artículo

References

Barbero L, Thompson J (2008) Extending a fixed-complexity sphere decoder to obtain likelihood information for turbo-MIMO systems. IEEE Trans Veh Technol 57(5):2804–2814

Barbero LG, Thompson JS (2008) Fixing the complexity of the sphere decoder for MIMO detection. IEEE Trans Wirel Commun 7(6):2131–2134

Boutros J, Gresset N, Brunel L, Fossorier M (2003) Soft-input soft-output lattice sphere decoder for linear channels. Proc IEEE GLOBECOM 3(2):1583–1587 [+]
Barbero L, Thompson J (2008) Extending a fixed-complexity sphere decoder to obtain likelihood information for turbo-MIMO systems. IEEE Trans Veh Technol 57(5):2804–2814

Barbero LG, Thompson JS (2008) Fixing the complexity of the sphere decoder for MIMO detection. IEEE Trans Wirel Commun 7(6):2131–2134

Boutros J, Gresset N, Brunel L, Fossorier M (2003) Soft-input soft-output lattice sphere decoder for linear channels. Proc IEEE GLOBECOM 3(2):1583–1587

Choi J (2010) Optimal combining and detection. Cambridge University Press, Cambridge

Guo Z, Nilsson P (2006) Algorithm and implementation of the k-best sphere decoding for mimo detection. IEEE J Sel Areas Commun 24(3):491–503

Hassibi B, Vikalo H (2005) On sphere decoding algorithm. Part I, the expected complexity. Trans Signal Process 54(5):2806–2818

Hochwald BM, Brink ST (2003) Achieving near-capacity on a multiple-antenna channel. IEEE Trans Commun 51(3):389–399

Larsson EG (2009) MIMO detection methods: how they work. IEEE Signal Process Mag 26(3):91–95

Li X, Ritcey J (1987) Bit interleaved coded modulation with iterative decoding. IEEE Commun Lett 1:169–171

Lu B, Wang X, Narayanan K (2002) LDPC-based space-time coded OFDM systems over correlated fading channels: performance analysis and receiver design. IEEE Trans Commun 50(1):74–88

Martínez-Zaldívar F, Vidal A, Gonzalez A, Almenar V (2011) Tridimensional block multiword LDPC decoding on GPUs. J Supercomput 58(3):314–322. doi: 10.1007/s11227-011-0587-3

NVIDIA (2013) NVIDIA CUDA C programming guide, version 5.5

Roger S, Ramiro C, Gonzalez A, Almenar V, Vidal A (2012) An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems. Integr Comput Aided Eng 19(4):341–350

Roger S, Ramiro C, Gonzalez A, Almenar V, Vidal A (2012) Fully parallel GPU implementation of a fixed-complexity soft-output MIMO detector. IEEE Trans Veh Technol 61(8):3796–3800

Simarro M, Ramiro C, Martínez-Zaldívar F, Vidal A, Gonzalez A (2013) A parallel iterative MIMO receiver with variable complexity detectors. Proc Int Conf Comput Math Methods Sci Eng 4:1242–1279

Studer C, Burg A, Bölcskei H (2008) Soft-output sphere decoding algorithms and VLSI implementation. IEEE J Sel Areas Commun 26(2):290–300

Tanner R (1981) A recursive approach to low complexity codes. IEEE Trans Inf Theory 27(5):533–547

Zehavi E (1988) 8-PSK trellis codes for a Ralyleigh fading channel. IEEE Trans Commun 36:1004–1012

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem