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...
| Auteurs principaux: | , , , , , , , |
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| Autres auteurs: | |
| Format: | Chapitre de livre |
| Langue: | English English English |
| Publié: |
Springer Nature Switzerland
2020
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| Sujets: | |
| Accès en ligne: | 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.pdfhttp://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