Hee Lee, S. Djoko, Hua Jiang, S. Subramanian, K. Basu
{"title":"无线网络自工程引擎","authors":"Hee Lee, S. Djoko, Hua Jiang, S. Subramanian, K. Basu","doi":"10.1109/ASSET.1999.756777","DOIUrl":null,"url":null,"abstract":"Each wireless network system has its own unique operating conditions. The geographical characteristics, RF conditions, call traffic and subscriber mobility of one network are different from others. In order to achieve maximum capacity and optimal performance of a network, the system parameters of the network must be engineered to fit the network's operating conditions. However, because of the complexity of wireless network system engineering, there has not been much success in developing effective engineering rules that are applicable to all systems. This lack of accurate universal engineering rules makes the process of wireless network engineering laborious, expensive and customized. A self engineering engine presented in this paper overcomes the difficulties in the current wireless network engineering practice. The adoption of the self engineering engine in the wireless network system will enable the system to monitor and engineer itself with the goal of achieving maximum capacity and optimal performance.","PeriodicalId":340666,"journal":{"name":"Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wireless networks self engineering engine\",\"authors\":\"Hee Lee, S. Djoko, Hua Jiang, S. Subramanian, K. Basu\",\"doi\":\"10.1109/ASSET.1999.756777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Each wireless network system has its own unique operating conditions. The geographical characteristics, RF conditions, call traffic and subscriber mobility of one network are different from others. In order to achieve maximum capacity and optimal performance of a network, the system parameters of the network must be engineered to fit the network's operating conditions. However, because of the complexity of wireless network system engineering, there has not been much success in developing effective engineering rules that are applicable to all systems. This lack of accurate universal engineering rules makes the process of wireless network engineering laborious, expensive and customized. A self engineering engine presented in this paper overcomes the difficulties in the current wireless network engineering practice. The adoption of the self engineering engine in the wireless network system will enable the system to monitor and engineer itself with the goal of achieving maximum capacity and optimal performance.\",\"PeriodicalId\":340666,\"journal\":{\"name\":\"Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASSET.1999.756777\",\"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 1999 IEEE Symposium on Application-Specific Systems and Software Engineering and Technology. ASSET'99 (Cat. No.PR00122)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASSET.1999.756777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Each wireless network system has its own unique operating conditions. The geographical characteristics, RF conditions, call traffic and subscriber mobility of one network are different from others. In order to achieve maximum capacity and optimal performance of a network, the system parameters of the network must be engineered to fit the network's operating conditions. However, because of the complexity of wireless network system engineering, there has not been much success in developing effective engineering rules that are applicable to all systems. This lack of accurate universal engineering rules makes the process of wireless network engineering laborious, expensive and customized. A self engineering engine presented in this paper overcomes the difficulties in the current wireless network engineering practice. The adoption of the self engineering engine in the wireless network system will enable the system to monitor and engineer itself with the goal of achieving maximum capacity and optimal performance.