Common-mode antenna feeder optimization method and system based on adaboost weighting and third-order clustering

Abstract

The embodiment of the invention provides a common-mode antenna feeder optimization method and system based on adaboost weighting and third-order clustering. The method comprises the steps of: fusing drive test data, first data and position information in any one network, and carrying out grid clustering on the fused data so as to obtain a data set of any one network; respectively determining an optimal weight corresponding to the data set of any network by adopting an AdaBoost algorithm according to the respectively set initial weights corresponding to the data set of any network, and obtaining a second data set according to the optimal weight corresponding to the data set of any network and the data set of any network; selecting second sampling points of which RSRP or SINR in the second data set is smaller than a preset threshold value, and clustering each sampling point in the second sampling points with the position information to generate a difference geographical position clustering set; and calculating included angles between the horizontal lobe normal of an antenna in a first common-mode cell and the difference point geographic position clustering set and between the vertical lobe normal of the antenna in the first common-mode cell and the difference point geographic position clustering set according to the difference point geographic position clustering set and the antenna feed value of the first common-mode cell.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a common-mode antenna feed optimization method and system based on adaboost weighting and third-order clustering. Background technique [0002] The existing multi-standard network antenna feeder optimization methods are mainly divided into two categories: [0003] (1) Independent antenna feeder optimization method: Although multi-standard independent antenna feeders have the flexibility to adjust for each standard network, with the evolution and development of wireless communication networks, they are subject to the cost of towers and antenna resources. From the perspective of the network, multiple networks such as GSM\3G\TDD\FDD\NB generally use the same site resource; from the perspective of tower construction, the establishment of China Tower vigorously promotes co-construction and sharing, and China Mobile\Telecom\Unicom share the same site Resources, the same...

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Therefore, there are few optimization methods for

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