Service simulation-perception-evaluation method and system

Abstract

The invention provides a service simulation-perception-evaluation method and system. The method comprises the following steps: acquiring the levels of grids in each cell service area and the levels of adjacent cells in a network, segmenting the levels of the adjacent cells according to the upper threshold values and lower threshold values of the levels of the adjacent cells, and counting probabilities P1, P2 and P3 that the level of each adjacent cell is positioned in three intervals; calculating the service occurrence probability of each grid; calculating the service occurrence probability of the entire network; simulating telephone traffic scattering in a network area according to the service occurrence probability of the entire network by using Monte Carlo simulation; simulating a new site according to the telephone traffic simulation scattering of each cell in the network; and performing service perception and evaluation on the simulated new site. Compared with the prior art, the service simulation-perception-evaluation method and system have the advantages that comprehensive optimization of service perception can be performed by making full use of MR (Measurement Result) data; service scattering, the determination and evaluation of the new site and network optimizing flow can be greatly simplified; and manpower and material resources are greatly saved.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a service simulation perception evaluation method and system. Background technique [0002] With the development of mobile communication networks, the daily maintenance and optimization of the network to improve user perception and use has always been an important task for mobile operators. In the process of network maintenance and optimization, the analysis and site selection of new base stations are mostly used, which involves various aspects such as traffic distribution and overall evaluation of new sites. [0003] In the prior art, TA (Timing Advance, timing advance) distribution is usually used for traffic distribution. Traffic is distributed along the radiation direction of the cell according to TA information. Use the TA proportion information to distribute the traffic of the cell to the coverage area, and count the traffic density in each TA sector ring. T...

AI Technical Summary

Problems solved by technology

[0015] It is impossible to evaluate objectively when a new station enters the network

The network access of new stations can effectively solve weak coverage and high load, but at the same time, it will inevitably lead to increased interference in local areas, and it is impossible to objectively evaluate the business. Obviously, it is impossible to determine whether the network access of new stations is suitable

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