Robust multi-user detection based on hybrid grey wolf optimization

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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Bibliographic Details
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 Chapter
Language:English
English
English
Published: Springer Nature Switzerland 2020
Subjects:
QA Mathematics
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25061/1/Robust%20multi-user%20detection%20based%20on%20hybrid%20grey%20wolf%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/25061/7/16.%20Robust%20Multi-user%20Detection%20Based%20on%20Hybrid%20Grey%20Wolf%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/25061/8/16.1%20Robust%20Multi-user%20Detection%20Based%20on%20Hybrid%20Grey%20Wolf%20Optimization.pdf

Internet

http://umpir.ump.edu.my/id/eprint/25061/1/Robust%20multi-user%20detection%20based%20on%20hybrid%20grey%20wolf%20optimization.pdf
http://umpir.ump.edu.my/id/eprint/25061/7/16.%20Robust%20Multi-user%20Detection%20Based%20on%20Hybrid%20Grey%20Wolf%20Optimization.pdf
http://umpir.ump.edu.my/id/eprint/25061/8/16.1%20Robust%20Multi-user%20Detection%20Based%20on%20Hybrid%20Grey%20Wolf%20Optimization.pdf

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