Overlapping coverage analysis method and device

Abstract

The embodiment of the invention provides an overlapping coverage analysis method and a device, and the method comprises the steps: obtaining MR data of all serving cells in a region according to a CGIlist, and forming an MR data set; for any serving cell, counting the number of first MR data and second MR data in an MR data set and the number of overlapping coverage neighbor cell pairs formed bytaking the serving cell as an interference neighbor cell so as to calculate the interference contribution degree of the serving cell to the overlapping coverage of the region; and sorting the interference contribution degrees of all the serving cells to obtain a sorting list of the interference contribution degrees. The method of the invention meets daily optimization work requirements, and has the advantages of high accuracy, strong globality, high work efficiency and economic saving compared with conventional analysis based on sweep frequency data.

Description

technical field [0001] Embodiments of the present invention relate to the field of wireless communication technologies, and more specifically, to a method and device for analyzing overlapping coverage. Background technique [0002] For LTE (Long Term Evolution, long-term evolution technology), overlapping coverage has always been one of the important factors of downlink network interference, and the impact on SINR (Signal to Interference plus Noise Ratio, signal to interference plus noise ratio) is very obvious, 6dB The more overlapping signals in the range, the lower the average SINR value and the estimated maximum SINR value. When the overlapping coverage is 1, the average SINR is 12.78dB. Every time an overlapping coverage cell is added, the SINR drops by about 40%, and the overlapping coverage When the degree is 4, the SINR drops to 2.1dB. [0003] Problems such as ultra-high, ultra-close, uneven distribution of base stations, unreasonable antenna downtilt angles, and u...

AI Technical Summary

Problems solved by technology

[0005] 1. Poor reliability: The process of analyzing the frequency sweep data in units of grids and finding structural problem areas mostly relies on manual judgment, which is closely related to the technical level and practical experience of field engineers, and the reliability is poor

[0006] 2. Large limitations: only test and optimize the overlapping coverage of the road network, while other areas covered by the community, such as large-scale residential areas, schools, enterprises, units, factories, etc., cannot be evaluated and optimized

[0007] 3. Low effectiveness: Without a set of more rigorous algorithms, the result is often to focus on one thing and lose another

For example, grid a is optimized, but it affects grid b; area c is optimized, but area d is also affected, and the structural problem of overlapping coverage cannot be effectively solved;

[0008] 4. Long cycle: frequency sweep data acquisition requires a lot of manpower, material resources, and financial resources. The acquisition cycle is long, and the data analysis after acquisition also requires a lot of manpower and time. The whole process is time-consuming and inefficient, which is not conducive to the development of complex network structures. overall quality improvement

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