Method and device based on measurement report data and for constructing network uploading interference matrix

Abstract

The invention discloses a method and a device based on measurement report (MR) data and for constructing network uploading interference matrix. The method comprises that a building automation (BA) form preset by a housing estate is edited and is output to a memory system (MS) in the housing estate; MR data is obtained through measurement by the MS in each service housing estate according to the BA form received; segmenting count is performed according to each MS uploading electric level in the MR data so that an uploading electric level normal distribution function of the service housing estate is established; according to a downloading point of the network service housing estate and a uploading point of an adjacent housing estate, an uploading road damage correcting value and a downloading road damage correcting value are obtained; uploading electric level of transmitted power of the adjacent housing estate MS in the position of a base transceiver station (BTS) of the service housing estate is obtained according to the MR data so that an interference normal distribution function to the service housing estate from each adjacent housing estate is established; according to the interference normal distribution function to the service housing estate from each adjacent housing estate and the uploading electric level normal distribution function of the service housing estate, same and adjacent channel interference telephone traffic among the housing estates are calculated. According to the method and the device, uploading interference conditions and total interference of an optimized network among the housing estates are estimated.

Description

technical field [0001] The present invention relates to a mobile communication network optimization technology, in particular to a method and device for constructing a network uplink interference matrix based on measurement report (MR, Measurement Report) data. Background technique [0002] In the daily operation of the network, the allocation of frequency points between cells needs to be adjusted with the changes in the traffic volume and propagation environment within the coverage area. The interference matrix (IM, Interface Matrix) is used as a parameter to measure the correlation between cells. Describe the degree of correlation between the adjacent cell and the serving cell through the eigenvalue of the interference matrix, and perform a certain degree of quantitative calculation based on the statistical relationship between the cells to obtain a corresponding eigenvalue value, so as to reflect the adjacent cell and the serving cell through the value of the eigenvalue T...

AI Technical Summary

Problems solved by technology

[0005] The existing method of constructing an interference matrix based on MR data is mainly based on the level information of the serving cell and the level information of six adjacent cells received by the MS. Since they are all obtained through MS measurement, they are called downlink measurement signals. The interference matrix constructed by the downlink measurement signal can accurately measure the downlink co-adjacent channel interference between the serving cell and the neighboring cells brought about by the frequency configuration scheme, but it cannot evaluate the interference between the serving cell and the neighboring cells brought about by the frequency configuration scheme. Uplink interference on the same adjacent frequency

That is to say, for a new Global System for Mobile Communications (GSM, Global System for Mobilecommunications) network frequency allocation scheme, before the implementation of the scheme, through figure 1 The scheme shown can evaluate the downlink interference of the frequency configuration scheme, but cannot evaluate the impact on the uplink interference. Therefore, how to construct the uplink interference matrix to evaluate the uplink interference is still a blank in the industry, making the optimization of the network The effect of total interference is less than ideal

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