{"title":"The Application of Markov Model Optimization Method in Wireless Channel Modeling","authors":"Lifen Yuan, T. Guo, Yi-gang He, Zhen Cheng","doi":"10.1109/ICCCAS.2018.8769296","DOIUrl":null,"url":null,"abstract":"The Markov model has good application prospect in wireless channel modeling. However, different forms of Markov model have different performance to the current scenario.Thus an optimal selection method for the best Markov model of the wireless channel is necessary. At first, different kinds of Markov model matrix should be prepared. Then calculate the similarities of the same matrix in two adjacent time periods. Compare them to select the best Markov model. The experiments show that the optimal Markov model matrix selected can ensure highest fitness to the current scenario and most sensitive to the environment disturbance. It has certain performance in wireless channel modeling and wireless channel environment abnormal detection.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2018.8769296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Markov model has good application prospect in wireless channel modeling. However, different forms of Markov model have different performance to the current scenario.Thus an optimal selection method for the best Markov model of the wireless channel is necessary. At first, different kinds of Markov model matrix should be prepared. Then calculate the similarities of the same matrix in two adjacent time periods. Compare them to select the best Markov model. The experiments show that the optimal Markov model matrix selected can ensure highest fitness to the current scenario and most sensitive to the environment disturbance. It has certain performance in wireless channel modeling and wireless channel environment abnormal detection.