Joint Channel and Multi-User Detection Empowered with Machine Learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Daoud, M.Sh. | - |
dc.contributor.author | Fatima, A. | - |
dc.contributor.author | Khan, W.A. | - |
dc.contributor.author | Khan, M.A. | - |
dc.contributor.author | Abbas, S. | - |
dc.contributor.author | Ihnaini, B. | - |
dc.contributor.author | Ahmad, M. | - |
dc.contributor.author | Javeid, M.S. | - |
dc.contributor.author | Aftab, S. | - |
dc.date.accessioned | 2021-09-22T23:40:04Z | - |
dc.date.available | 2021-09-22T23:40:04Z | - |
dc.date.created | 2021-09-15 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 1546-2218 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82189 | - |
dc.description.abstract | The numbers of multimedia applications and their users increase with each passing day. Different multi-carrier systems have been developed along with varying techniques of space-time coding to address the demand of the future generation of network systems. In this article, a fuzzy logic empowered adaptive backpropagation neural network (FLeABPNN) algorithm is proposed for joint channel and multi-user detection (CMD). FLeABPNN has two stages. The first stage estimates the channel parameters, and the second performs multi-user detection. The proposed approach capitalizes on a neuro-fuzzy hybrid system that combines the competencies of both fuzzy logic and neural networks. This study analyzes the results of using FLeABPNN based on a multiple-input and multiple-output (MIMO) receiver with conventional partial opposite mutant particle swarm optimization (POMPSO), totalOMPSO (TOMPSO), fuzzy logic empowered POMPSO (FL-POMPSO), and FL-TOMPSO-based MIMO receivers. The FLeABPNN-based receiver renders better results than other techniques in terms of minimum mean square error, minimum mean channel error, and bit error rate. © 2021 Tech Science Press. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TECH SCIENCE PRESS | - |
dc.relation.isPartOf | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.title | Joint Channel and Multi-User Detection Empowered with Machine Learning | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000694720100007 | - |
dc.identifier.doi | 10.32604/cmc.2022.019295 | - |
dc.identifier.bibliographicCitation | CMC-COMPUTERS MATERIALS & CONTINUA, v.70, no.1, pp.109 - 121 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85114556295 | - |
dc.citation.endPage | 121 | - |
dc.citation.startPage | 109 | - |
dc.citation.title | CMC-COMPUTERS MATERIALS & CONTINUA | - |
dc.citation.volume | 70 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Khan, M.A. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Bit error rate | - |
dc.subject.keywordAuthor | Channel and multi-user detection | - |
dc.subject.keywordAuthor | Minimum mean channel error | - |
dc.subject.keywordAuthor | Minimum mean square error | - |
dc.subject.keywordAuthor | Multiple-input and multiple-output | - |
dc.subject.keywordPlus | Backpropagation | - |
dc.subject.keywordPlus | Bit error rate | - |
dc.subject.keywordPlus | Computer circuits | - |
dc.subject.keywordPlus | Errors | - |
dc.subject.keywordPlus | Fuzzy inference | - |
dc.subject.keywordPlus | Fuzzy logic | - |
dc.subject.keywordPlus | Fuzzy neural networks | - |
dc.subject.keywordPlus | Hybrid systems | - |
dc.subject.keywordPlus | Mean square error | - |
dc.subject.keywordPlus | Particle swarm optimization (PSO) | - |
dc.subject.keywordPlus | Signal receivers | - |
dc.subject.keywordPlus | Adaptive back propagation | - |
dc.subject.keywordPlus | Future generations | - |
dc.subject.keywordPlus | Minimum mean square errors | - |
dc.subject.keywordPlus | Multi carrier systems | - |
dc.subject.keywordPlus | Multimedia applications | - |
dc.subject.keywordPlus | Multiple input and multiple outputs | - |
dc.subject.keywordPlus | Neuro-fuzzy hybrid system | - |
dc.subject.keywordPlus | Space time coding | - |
dc.subject.keywordPlus | Multiuser detection | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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