Communication network performance optimization method and device

Abstract

The invention discloses a method for optimizing communication network performance, which comprises: (a) setting and storing a history network optimization correlation matrix according to the design and operational requirement of the communication network; (b) determining a current network optimization correlation matrix by using the current parameter values and performance index values of the network entity in the communication network; (c) determining the parameters required for the adjustment to reach the target value of network entity performance index, according to the corresponding relationship in parameter and performance index between the current network optimization correlation matrix and the history network optimization correlation matrix; and (d) comparing the correlation values between the current network optimization correlation matrix and the history network optimization correlation matrix, and adjusting the parameters to be adjusted based on the predetermined parameter adjustment strategy. The invention also discloses a device for optimizing the communication network performance. With the invention, the service provider can easily judge and determine the parameter target required for the optimization to improve the network performance index, and the network optimization is automatically implemented.

Description

technical field [0001] The invention relates to network optimization, in particular to a communication network performance optimization method and device, belonging to the technical field of communication. Background technique [0002] Communication network optimization refers to the collection of parameters and data analysis of communication network entities that are officially put into operation, to find out the reasons that affect the quality of network operation, and to make the network reach the best operating state through parameter adjustment or some technical means, so that the existing Network resources can obtain the best benefits, and at the same time, reasonable suggestions can be put forward for the future maintenance, planning and construction of communication networks. The flow chart of the method for optimizing the communication network in the prior art is as follows: figure 1 shown, including the following steps: [0003] Step 101, obtain the current perfo...

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Problems solved by technology

[0012] (1) In order to ensure the accuracy of the optimization results, this method requires a large number of long-term continuous tests, and in an already running and changing network, the amount of parameter adjustment is huge, especially with the development of communication networks, various The introduction of various services leads to a surge in parameter adjustments, and network optimization usually needs to be completed in the shortest possible adjustment period, so it is more difficult to meet the requirements of operators;

[0013] (2) With the development of the network and business, in order to meet the quality of users and improve network performance, operators are constantly adjusting the performance indicators concerned at different stages, so it is necessary to re-adjust the test parameters, test methods, and processing procedures And the corresponding optimization method, but how to determine the parameters that need to be adjusted can only be determined through blind adjustment and testing, which will definitely affect the effect of network optimization;

[0014] (3) Under normal circumstances, the adjustment of any parameter will have more or less, good or bad effects on the performance index values ​​of various network entities. At present, the mutual influence is mainly judged qualitatively through experience, and determined through further tests This kind of influence, in which human factors have a great influence, and there is no quantitative method to judge the parameters that affect the performance indicators of network entities;

[0015] (4) When adjusting specific parameters, it is only possible to determine whether this adjustment optimizes one or some network indicators, but in the case of multiple parameter adjustments, it is impossible to determine which parameter adjustment is the key to network performance improvement

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