Interference optimization method and system

Abstract

The invention discloses an interference optimization method and system, and relates to the technical field of mobile communication. The method specifically comprises the steps: firstly carrying out the positioning of a TSC (training sequence code) of an interference community, and carrying out the multi-dimensional calculation of an interference coefficient of the TSC after positioning, and then determining the interference community according to the interference coefficient. The method gives full consideration to the distance correlation, angle correlation, BCCH (broadcast control channel) frequency-scanning CC testing point correlation and BCCH frequency-scanning time gap receiving power correlation between the interference channel and a service channel in a process of multi-dimensional calculation of the interference coefficient. Therefore, in the embodiment of the invention, the method and system give full consideration to BCCH and TCH carriers and co-channel interference among different communities in a process of interference positioning, improve the degree of fine analysis of a wireless network, greatly improve the accuracy of interference positioning, and enable the obtained interference optimization to be more reasonable and accurate.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to an interference optimization method and system. Background technique [0002] In the traditional mobile communication system analysis theory, the analysis and comparison of the comprehensive performance of cellular wireless networks such as GSM and CDMA are usually modeled in the form of regular geometric cellular cluster multiplexing, combined with specific multiple access multiplexing modes, wireless propagation models, and The main factors such as the corresponding user distribution characteristics are calculated and analyzed. Due to the complexity, irregularity and randomness of the actual wireless propagation environment, the error of theoretical analysis of traditional cellular coverage and interference is a big problem. Moreover, the application of traditional frequency sweep data analysis and analysis, using traditional analysis algorithms has great limitations, manif...

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Problems solved by technology

[0004] 2. The traditional frequency scanner can only measure and decode the BCCH channel, and the BCCH frequency point is full-power transmission; for the TCH frequency point, there are frequency hopping, DTX and power control, traffic burst and distribution differences and other factors; and the multiplexing densities of BCCH frequency points and TCH frequency points are different, and the noise floor levels of the two types of carrier frequencies must be different

[0005] 3. The traditional frequency scanner cannot distinguish and measure the same-frequency interference signals from different cells, and thus cannot accurately locate the interfered cell, the interference source cell, and the interfered frequency point

[0006] Therefore, there is an urgent need for a more reasonable interference optimization solution that can comprehensively consider multiple factors such as BCCH and TCH carriers, as well as the same-frequency interference of different cells, to solve the largest technical bottleneck in the fine analysis of the current wireless network. There are many serious co-channel interference problems that cannot be located and solved in time

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