{"title":"一种最优的室内无线网络帧大小预测器","authors":"S. Ci, H. Sharif, A. Young","doi":"10.1109/ICON.2001.962361","DOIUrl":null,"url":null,"abstract":"An optimal frame size predictor for an indoor wireless network is studied. A Kalman filter is employed in order to predict optimal frame size. The closed form of state transition equation and observation equations under indoor wireless channel are derived. For analyzing the proposed predictor, a revised wall attenuation factor (WAF) indoor wireless channel model is developed and discussed. Through simulation, it is shown that the proposed algorithm can substantially lower the estimation error by the order of 10/sup 2/. Moreover it is also easy to implement. In the context of optimal frame size prediction, the proposed prediction methodology can be applied to predict other state parameters like receiving power bit error rate etc., and is also applicable to outdoor wireless networks.","PeriodicalId":178842,"journal":{"name":"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An optimal frame size predictor for indoor wireless network\",\"authors\":\"S. Ci, H. Sharif, A. Young\",\"doi\":\"10.1109/ICON.2001.962361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optimal frame size predictor for an indoor wireless network is studied. A Kalman filter is employed in order to predict optimal frame size. The closed form of state transition equation and observation equations under indoor wireless channel are derived. For analyzing the proposed predictor, a revised wall attenuation factor (WAF) indoor wireless channel model is developed and discussed. Through simulation, it is shown that the proposed algorithm can substantially lower the estimation error by the order of 10/sup 2/. Moreover it is also easy to implement. In the context of optimal frame size prediction, the proposed prediction methodology can be applied to predict other state parameters like receiving power bit error rate etc., and is also applicable to outdoor wireless networks.\",\"PeriodicalId\":178842,\"journal\":{\"name\":\"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICON.2001.962361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICON.2001.962361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimal frame size predictor for indoor wireless network
An optimal frame size predictor for an indoor wireless network is studied. A Kalman filter is employed in order to predict optimal frame size. The closed form of state transition equation and observation equations under indoor wireless channel are derived. For analyzing the proposed predictor, a revised wall attenuation factor (WAF) indoor wireless channel model is developed and discussed. Through simulation, it is shown that the proposed algorithm can substantially lower the estimation error by the order of 10/sup 2/. Moreover it is also easy to implement. In the context of optimal frame size prediction, the proposed prediction methodology can be applied to predict other state parameters like receiving power bit error rate etc., and is also applicable to outdoor wireless networks.
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