{"title":"LTE网络中天线波束倾斜的自优化","authors":"R. Razavi","doi":"10.1109/VETECS.2012.6240017","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel technique for self-optimisation of antenna down-tilting. The proposed solution consists of two phases. During the first phase, which needs to be performed quickly, a method based on the Golden Section Search (GSS) algorithm is used to find a near-optimal tilt angle. Then, in the next step, the tilt angle value is fine-tuned through frequent explorations of the near-optimal region. Additionally, the solution benefits from self-healing properties by responding to the failure of a neighbouring cell. In this case, the algorithm is adapted to find a new optimal point upon failure detection. The result shows fast convergence and close-to-optimum performance (93.8% on average) of the proposed algorithm. The overall solution is fully distributed and is 3GPP complaint.","PeriodicalId":333610,"journal":{"name":"2012 IEEE 75th Vehicular Technology Conference (VTC Spring)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Self-Optimisation of Antenna Beam Tilting in LTE Networks\",\"authors\":\"R. Razavi\",\"doi\":\"10.1109/VETECS.2012.6240017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a novel technique for self-optimisation of antenna down-tilting. The proposed solution consists of two phases. During the first phase, which needs to be performed quickly, a method based on the Golden Section Search (GSS) algorithm is used to find a near-optimal tilt angle. Then, in the next step, the tilt angle value is fine-tuned through frequent explorations of the near-optimal region. Additionally, the solution benefits from self-healing properties by responding to the failure of a neighbouring cell. In this case, the algorithm is adapted to find a new optimal point upon failure detection. The result shows fast convergence and close-to-optimum performance (93.8% on average) of the proposed algorithm. The overall solution is fully distributed and is 3GPP complaint.\",\"PeriodicalId\":333610,\"journal\":{\"name\":\"2012 IEEE 75th Vehicular Technology Conference (VTC Spring)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 75th Vehicular Technology Conference (VTC Spring)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETECS.2012.6240017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 75th Vehicular Technology Conference (VTC Spring)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECS.2012.6240017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Self-Optimisation of Antenna Beam Tilting in LTE Networks
This paper introduces a novel technique for self-optimisation of antenna down-tilting. The proposed solution consists of two phases. During the first phase, which needs to be performed quickly, a method based on the Golden Section Search (GSS) algorithm is used to find a near-optimal tilt angle. Then, in the next step, the tilt angle value is fine-tuned through frequent explorations of the near-optimal region. Additionally, the solution benefits from self-healing properties by responding to the failure of a neighbouring cell. In this case, the algorithm is adapted to find a new optimal point upon failure detection. The result shows fast convergence and close-to-optimum performance (93.8% on average) of the proposed algorithm. The overall solution is fully distributed and is 3GPP complaint.