Genetic-Algorithm-Driven MIMO Multi-user Detector for Wireless Communications

Mohammed Jasim Khafaji; Maciej Krasicki

doi:10.1007/978-3-319-91446-6_25

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Title

Genetic-Algorithm-Driven MIMO Multi-user Detector for Wireless Communications

Authors

Mohammed Jasim Khafaji (WEiT) ^{[ 1 ]}
Maciej Krasicki (WEiT) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Katedra Radiokomunikacji, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

multiuser detection
MIMO
genetic algorithm
zero forcing

Abstract

EN In the paper, evolutionary optimization strategy, represented by the genetic algorithm (GA) is considered as a multiuser detection (MUD) method for a multiple-input multiple-output (MIMO) wireless system. With the aim to boost lacking GA convergence, Zero-Forcing (ZF) detection is proposed as an initial processing phase. Additionally, a multi-stage GA routine is considered as a method to make the search for data estimates more effective.

Pages (from - to)

258 - 269

DOI

10.1007/978-3-319-91446-6_25

URL

https://link.springer.com/chapter/10.1007/978-3-319-91446-6_25

Book

Contemporary Complex Systems and Their Dependability : Proceedings of the Thirteenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2-6, 2018, Brunów, Poland

Presented on

13th International Conference on Dependability and Complex Systems, DepCoS-RELCOMEX 2018, 2-6.07.2018, Brunów, Poland

Ministry points / chapter

20