The development of high data rate wireless communications systems using Multiple Input — Multiple Output (MIMO) antenna techniques requires detectors with reduced complexity and good Bit Error Rate (BER) performance. In this paper, we present the Semi-fixed Complexity Sphere Decoder (SCSD), which executes the process of detection in MIMO systems with a significantly lower computation cost than the high-performance/reduced-complexity detectors: Sphere Decoder (SD), K-best, Fixed Complexity Sphere Decoder (FSD) and Adaptive Set Partitioning (ASP). Simulation results show that when the Signal-to-Noise Ratio (SNR) is less than 15dB, the SCSD reduces the complexity by up to 90% with respect to SD, up to 60% with respect to K-best or ASP and by up to 90% with respect to FSD. In the proposed algorithm, the BER performance does not show significant degradation and therefore, can be considered as a complexity reduction scheme suitable for implementing in MIMO detectors.
Juan Francisco CASTILLO-LEON
Universidad Autónoma de San Luis Potosí (UASLP)
Marco CARDENAS-JUAREZ
Universidad Autónoma de San Luis Potosí (UASLP)
Ulises PINEDA-RICO
Universidad Autónoma de San Luis Potosí (UASLP)
Enrique STEVENS-NAVARRO
Universidad Autónoma de San Luis Potosí (UASLP)
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Juan Francisco CASTILLO-LEON, Marco CARDENAS-JUAREZ, Ulises PINEDA-RICO, Enrique STEVENS-NAVARRO, "A Semifixed Complexity Sphere Decoder for Uncoded Symbols for Wireless Communications" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 12, pp. 2776-2783, December 2014, doi: 10.1587/transcom.E97.B.2776.
Abstract: The development of high data rate wireless communications systems using Multiple Input — Multiple Output (MIMO) antenna techniques requires detectors with reduced complexity and good Bit Error Rate (BER) performance. In this paper, we present the Semi-fixed Complexity Sphere Decoder (SCSD), which executes the process of detection in MIMO systems with a significantly lower computation cost than the high-performance/reduced-complexity detectors: Sphere Decoder (SD), K-best, Fixed Complexity Sphere Decoder (FSD) and Adaptive Set Partitioning (ASP). Simulation results show that when the Signal-to-Noise Ratio (SNR) is less than 15dB, the SCSD reduces the complexity by up to 90% with respect to SD, up to 60% with respect to K-best or ASP and by up to 90% with respect to FSD. In the proposed algorithm, the BER performance does not show significant degradation and therefore, can be considered as a complexity reduction scheme suitable for implementing in MIMO detectors.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2776/_p
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@ARTICLE{e97-b_12_2776,
author={Juan Francisco CASTILLO-LEON, Marco CARDENAS-JUAREZ, Ulises PINEDA-RICO, Enrique STEVENS-NAVARRO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Semifixed Complexity Sphere Decoder for Uncoded Symbols for Wireless Communications},
year={2014},
volume={E97-B},
number={12},
pages={2776-2783},
abstract={The development of high data rate wireless communications systems using Multiple Input — Multiple Output (MIMO) antenna techniques requires detectors with reduced complexity and good Bit Error Rate (BER) performance. In this paper, we present the Semi-fixed Complexity Sphere Decoder (SCSD), which executes the process of detection in MIMO systems with a significantly lower computation cost than the high-performance/reduced-complexity detectors: Sphere Decoder (SD), K-best, Fixed Complexity Sphere Decoder (FSD) and Adaptive Set Partitioning (ASP). Simulation results show that when the Signal-to-Noise Ratio (SNR) is less than 15dB, the SCSD reduces the complexity by up to 90% with respect to SD, up to 60% with respect to K-best or ASP and by up to 90% with respect to FSD. In the proposed algorithm, the BER performance does not show significant degradation and therefore, can be considered as a complexity reduction scheme suitable for implementing in MIMO detectors.},
keywords={},
doi={10.1587/transcom.E97.B.2776},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - A Semifixed Complexity Sphere Decoder for Uncoded Symbols for Wireless Communications
T2 - IEICE TRANSACTIONS on Communications
SP - 2776
EP - 2783
AU - Juan Francisco CASTILLO-LEON
AU - Marco CARDENAS-JUAREZ
AU - Ulises PINEDA-RICO
AU - Enrique STEVENS-NAVARRO
PY - 2014
DO - 10.1587/transcom.E97.B.2776
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2014
AB - The development of high data rate wireless communications systems using Multiple Input — Multiple Output (MIMO) antenna techniques requires detectors with reduced complexity and good Bit Error Rate (BER) performance. In this paper, we present the Semi-fixed Complexity Sphere Decoder (SCSD), which executes the process of detection in MIMO systems with a significantly lower computation cost than the high-performance/reduced-complexity detectors: Sphere Decoder (SD), K-best, Fixed Complexity Sphere Decoder (FSD) and Adaptive Set Partitioning (ASP). Simulation results show that when the Signal-to-Noise Ratio (SNR) is less than 15dB, the SCSD reduces the complexity by up to 90% with respect to SD, up to 60% with respect to K-best or ASP and by up to 90% with respect to FSD. In the proposed algorithm, the BER performance does not show significant degradation and therefore, can be considered as a complexity reduction scheme suitable for implementing in MIMO detectors.
ER -