Wireless communication network intelligent-antenna-covered scene automatic classification and recognition method

Abstract

The invention discloses a wireless communication network intelligent-antenna-covered scene automatic classification and recognition method. The method includes the steps of extracting the length characteristic, the width characteristic, the density characteristic, the collineation characteristic and the shadow characteristic of a community covered by intelligent antennas according to three-dimensional geographic information, conducting excavation analysis on the scene through a clustering tool, selecting certain characteristic parameter values to define and classify the scene so as to obtain the classification of the certain scene covered by the intelligent antennas, and conducting classification recognition on the basis of the classification. According to the method, for the randomness of the existing scene classification standard and the problems of the fuzzy classification boundary and the like, through the combination with the geographic position and the building information of the GIS, the subjective index parameters are defined, the community scene is classified and recognized, and therefore the objectivity and the accuracy which are hard to achieve through manual classification are achieved. Parameters of the intelligent antennas are set according to the scene with the determined classification, and therefore performance of the intelligent antennas can be better given into play, and the requirements of the area for coverage, interference and throughput are met.

Description

technical field [0001] The invention relates to the technical field of wireless communication network planning and optimization, in particular to a method for classifying and identifying smart antenna coverage scenarios. Background technique [0002] The smart antenna is to improve the system capacity, coverage and system throughput of the wireless cellular network. Not only that, mobile terminals have also begun to use smart antennas to improve link quality and user throughput. [0003] The smart antenna estimates the direction of the uplink user (that is, the angle of arrival, DOA—Direction of Angle) according to the uplink signal received by each array element in the antenna array. When transmitting downlink power, set the transmission on each antenna element of the smart antenna according to the estimated direction. Power weights to form beams directed to estimated users. The received power of this user is enhanced but does not interfere with other users. Enhanced lin...

AI Technical Summary

Problems solved by technology

[0007] 2. The classification standard lacks quantitative basis, resulting in blurred classification boundaries; for example, outdoor scenes are divided into general outdoor and dense outdoor, but how to define general and dense can only rely on experience, and the judgment of critical state is particularly complicated

[0008] 3. There is no connection between classification scenarios and smart antenna performance indicators; for example, for different neighboring cells of the same base station, the existing classification standards usually classify them into one category, but the smart antenna performance of each neighboring cell is different due to the obstruction characteristics of buildings. There are large differences in performance, and they cannot be simply classified into one type of scene, but should be treated differently

Different scene divisions will affect the antenna erection height, downtilt angle, transmit power, and the effect of the beamforming criterion, which will affect the shaping gain, pattern, C / I, and BER of the smart antenna, thereby affecting the business of the smart antenna Beam, user capacity and system throughput, etc.

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