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      Outage Probability Performance Prediction for Mobile Cooperative Communication Networks Based on Artificial Neural Network

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          Abstract

          This paper investigates outage probability (OP) performance predictions using transmit antenna selection (TAS) and derives exact closed-form OP expressions for a TAS scheme. It uses Monte-Carlo simulations to evaluate OP performance and verify the analysis. A back-propagation (BP) neural network-based OP performance prediction algorithm is proposed and compared with extreme learning machine (ELM), locally weighted linear regression (LWLR), support vector machine (SVM), and BP neural network methods. The proposed method was found to have higher OP performance prediction results than the other prediction methods.

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          Most cited references44

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          Exact Symbol Error Probability of a Cooperative Network in a Rayleigh-Fading Environment

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            Harmonic Mean and End-to-End Performance of Transmission Systems With Relays

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              $N{\ast}$Nakagami: A Novel Stochastic Model for Cascaded Fading Channels

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                04 November 2019
                November 2019
                : 19
                : 21
                : 4789
                Affiliations
                [1 ]College of Physical Science & Engineering, Yichun University, Yichun 336000, China
                [2 ]Institute of Data Science, City University of Macau, Macau 999078, China
                [3 ]Department of Information Science & Technology, Qingdao University of Science & Technology, Qingdao 266061, China
                [4 ]Key Laboratory of Opto-Technology and Intelligent Control, Ministry of Education, Lanzhou Jiaotong University, Lanzhou 730070, China
                [5 ]State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Hakou 570228, China; wxpeng2016@ 123456hainu.edu.cn
                Author notes
                [* ]Correspondence: hanwang1214@ 123456126.com (H.W.); bh054@ 123456qust.edu.cn (L.X.); Tel.: +86-158-0795-6076 (H.W.)
                Author information
                https://orcid.org/0000-0001-7347-3763
                https://orcid.org/0000-0002-2169-6356
                Article
                sensors-19-04789
                10.3390/s19214789
                6865082
                31689926
                dee906c2-1ac8-4c45-9d02-5f87ba56dfb4
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 September 2019
                : 01 November 2019
                Categories
                Article

                Biomedical engineering
                mobile cooperative communication,outage probability,performance prediction,bp neural network

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