Robust multi-user detection based on hybrid grey wolf optimization

The search for an effective nature-inspired optimization technique has certainly continued for decades. In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to overcome the problem of high bit error rate (BER) in...

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Main Authors:	Ji, Yuanfa, Fan, Z ., Sun, X., Wang, S., Yan, S., Wu, S., Fu, Q., Kamarul Hawari, Ghazali
Other Authors:	Lu, Huimin
Format:	Book Section
Language:	English
Published:	Springer International Publishing 2020
Subjects:	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/1/Robust%20multi-user%20detection%20based%20on%20hybrid%20grey%20wolf%20optimization.pdf

id	ump-25061
recordtype	eprints
spelling	ump-250612019-11-04T07:39:47Z http://umpir.ump.edu.my/id/eprint/25061/ Robust multi-user detection based on hybrid grey wolf optimization Ji, Yuanfa Fan, Z . Sun, X. Wang, S. Yan, S. Wu, S. Fu, Q. Kamarul Hawari, Ghazali QA Mathematics TK Electrical engineering. Electronics Nuclear engineering The search for an effective nature-inspired optimization technique has certainly continued for decades. In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to overcome the problem of high bit error rate (BER) in multi-user detection under impulse noise environment. The simulation results show that the iteration times of the multi-user detector based on the proposed algorithm is less than that of genetic algorithm, differential evolution algorithm and Grey wolf optimization algorithm, and has the lower BER. Springer International Publishing Lu, Huimin 2020 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25061/1/Robust%20multi-user%20detection%20based%20on%20hybrid%20grey%20wolf%20optimization.pdf Ji, Yuanfa and Fan, Z . and Sun, X. and Wang, S. and Yan, S. and Wu, S. and Fu, Q. and Kamarul Hawari, Ghazali (2020) Robust multi-user detection based on hybrid grey wolf optimization. In: Cognitive internet of things : frameworks, tools and aplications. Studies in Computational Intelligence (810). Springer International Publishing, Berlin, Germany, pp. 237-249. ISBN 9783030049454 (print), 9783030049461 (online) https://doi.org/10.1007/978-3-030-04946-1 https://doi.org/10.1007/978-3-030-04946-1
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering Ji, Yuanfa Fan, Z . Sun, X. Wang, S. Yan, S. Wu, S. Fu, Q. Kamarul Hawari, Ghazali Robust multi-user detection based on hybrid grey wolf optimization
description	The search for an effective nature-inspired optimization technique has certainly continued for decades. In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to overcome the problem of high bit error rate (BER) in multi-user detection under impulse noise environment. The simulation results show that the iteration times of the multi-user detector based on the proposed algorithm is less than that of genetic algorithm, differential evolution algorithm and Grey wolf optimization algorithm, and has the lower BER.
author2	Lu, Huimin
author_facet	Lu, Huimin Ji, Yuanfa Fan, Z . Sun, X. Wang, S. Yan, S. Wu, S. Fu, Q. Kamarul Hawari, Ghazali
format	Book Section
author	Ji, Yuanfa Fan, Z . Sun, X. Wang, S. Yan, S. Wu, S. Fu, Q. Kamarul Hawari, Ghazali
author_sort	Ji, Yuanfa
title	Robust multi-user detection based on hybrid grey wolf optimization
title_short	Robust multi-user detection based on hybrid grey wolf optimization
title_full	Robust multi-user detection based on hybrid grey wolf optimization
title_fullStr	Robust multi-user detection based on hybrid grey wolf optimization
title_full_unstemmed	Robust multi-user detection based on hybrid grey wolf optimization
title_sort	robust multi-user detection based on hybrid grey wolf optimization
publisher	Springer International Publishing
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/ http://umpir.ump.edu.my/id/eprint/25061/1/Robust%20multi-user%20detection%20based%20on%20hybrid%20grey%20wolf%20optimization.pdf
first_indexed	2023-09-18T22:38:17Z
last_indexed	2023-09-18T22:38:17Z
_version_	1777416743284637696

Robust multi-user detection based on hybrid grey wolf optimization

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