A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems

Luis M. San-Jose-Revuelta*, Pablo Casaseca-de-la-Higuera

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

This work proposes a modified version of an emerging nature-inspired technique, named flower pollination algorithm, for equalizing digital multiuser channels. This equalization involves two different tasks: (1) estimation of the channel impulse response, and (2) estimation of the users’ transmitted symbols. The new algorithm is developed and applied in a direct sequence/code-division multiple-access multiuser communications system. Important issues such as robustness, convergence speed and population diversity control have been in deep investigated. A method based on the entropy of the flowers’ fitness is proposed for in-service monitoring and adjusting population diversity. Numerical simulations analyze the performance, showing comparisons with well-known conventional multiuser detectors such as matched filter, minimum mean square error estimator or several Bayesian schemes, as well as with other nature-inspired strategies. Numerical analysis shows that the proposed algorithm enables transmission at higher symbol rates under stronger fading and interference conditions, constituting an attractive alternative to previous algorithms, both conventional and nature-inspired, whose performance is frequently sensible to near–far effects and multiple-access interference problems. These results have been validated by running hypothesis tests to confirm statistical significance.
Original languageEnglish
JournalSoft Computing
DOIs
Publication statusPublished - 1 Feb 2020

Keywords

  • DS/CDMA
  • Population diversity
  • Nature-inspired algorithms
  • Flower pollination algorithm
  • Channel estimation
  • Symbol detection
  • Multiuser detection

Cite this

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title = "A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems",
abstract = "This work proposes a modified version of an emerging nature-inspired technique, named flower pollination algorithm, for equalizing digital multiuser channels. This equalization involves two different tasks: (1) estimation of the channel impulse response, and (2) estimation of the users’ transmitted symbols. The new algorithm is developed and applied in a direct sequence/code-division multiple-access multiuser communications system. Important issues such as robustness, convergence speed and population diversity control have been in deep investigated. A method based on the entropy of the flowers’ fitness is proposed for in-service monitoring and adjusting population diversity. Numerical simulations analyze the performance, showing comparisons with well-known conventional multiuser detectors such as matched filter, minimum mean square error estimator or several Bayesian schemes, as well as with other nature-inspired strategies. Numerical analysis shows that the proposed algorithm enables transmission at higher symbol rates under stronger fading and interference conditions, constituting an attractive alternative to previous algorithms, both conventional and nature-inspired, whose performance is frequently sensible to near–far effects and multiple-access interference problems. These results have been validated by running hypothesis tests to confirm statistical significance.",
keywords = "DS/CDMA, Population diversity, Nature-inspired algorithms, Flower pollination algorithm, Channel estimation, Symbol detection, Multiuser detection",
author = "San-Jose-Revuelta, {Luis M.} and Pablo Casaseca-de-la-Higuera",
year = "2020",
month = "2",
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language = "English",
journal = "Soft Computing",
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N2 - This work proposes a modified version of an emerging nature-inspired technique, named flower pollination algorithm, for equalizing digital multiuser channels. This equalization involves two different tasks: (1) estimation of the channel impulse response, and (2) estimation of the users’ transmitted symbols. The new algorithm is developed and applied in a direct sequence/code-division multiple-access multiuser communications system. Important issues such as robustness, convergence speed and population diversity control have been in deep investigated. A method based on the entropy of the flowers’ fitness is proposed for in-service monitoring and adjusting population diversity. Numerical simulations analyze the performance, showing comparisons with well-known conventional multiuser detectors such as matched filter, minimum mean square error estimator or several Bayesian schemes, as well as with other nature-inspired strategies. Numerical analysis shows that the proposed algorithm enables transmission at higher symbol rates under stronger fading and interference conditions, constituting an attractive alternative to previous algorithms, both conventional and nature-inspired, whose performance is frequently sensible to near–far effects and multiple-access interference problems. These results have been validated by running hypothesis tests to confirm statistical significance.

AB - This work proposes a modified version of an emerging nature-inspired technique, named flower pollination algorithm, for equalizing digital multiuser channels. This equalization involves two different tasks: (1) estimation of the channel impulse response, and (2) estimation of the users’ transmitted symbols. The new algorithm is developed and applied in a direct sequence/code-division multiple-access multiuser communications system. Important issues such as robustness, convergence speed and population diversity control have been in deep investigated. A method based on the entropy of the flowers’ fitness is proposed for in-service monitoring and adjusting population diversity. Numerical simulations analyze the performance, showing comparisons with well-known conventional multiuser detectors such as matched filter, minimum mean square error estimator or several Bayesian schemes, as well as with other nature-inspired strategies. Numerical analysis shows that the proposed algorithm enables transmission at higher symbol rates under stronger fading and interference conditions, constituting an attractive alternative to previous algorithms, both conventional and nature-inspired, whose performance is frequently sensible to near–far effects and multiple-access interference problems. These results have been validated by running hypothesis tests to confirm statistical significance.

KW - DS/CDMA

KW - Population diversity

KW - Nature-inspired algorithms

KW - Flower pollination algorithm

KW - Channel estimation

KW - Symbol detection

KW - Multiuser detection

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