Abstract
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 high-performance computing techniques for signal processing in communication systems is receiving considerable attention. In this paper, we present an accelerated and efficient iterative receiver, which has been implemented following two strategies. First, we reduce the computational cost using parallelized algorithms executed on graphics processing unit. In addition, our receiver allows the selection between two types of detectors with different complexity and performance. The selection can be done to fulfill a given compromise between bit error rate and power consumption.
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Acknowledgments
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.
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Ramiro, C., Simarro, M.Á., Martínez-Zaldívar, F.J. et al. A GPU implementation of an iterative receiver for energy saving MIMO ID-BICM systems. J Supercomput 70, 541–551 (2014). https://doi.org/10.1007/s11227-013-1081-x
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DOI: https://doi.org/10.1007/s11227-013-1081-x