Transmission model-based network coverage correcting method and system

Abstract

The invention discloses a transmission model-based network coverage correcting method and a transmission model-based network coverage correcting system. The method comprises: extracting basic information data of indoor distribution systems of a base station and a repeater; partitioning the acquired various basic information data, and selecting corresponding transmission models for coverage prediction; and extracting relative data from a road test system to correct the selected transmission models. In the embodiments of the invention, the basic information of the base station as well as the basic data of the indoor distribution system are acquired, then the network coverage conditions of the indoor distribution system is subsequently supplemented by the signal strength corrected by the transmission model, the acquired data are partitioned, different transmission models are adopted for different data, and thus, the problem that the network coverage condition cannot be acquired accurately in the prior art can be solved.

Description

technical field [0001] The present invention relates to wireless technology in the communication field, in particular to a method and system for correcting network coverage based on a propagation model. Background technique [0002] The coverage of the wireless cellular network is affected by factors such as the location of the base station and the topography. With the urban construction, mobile network expansion and rolling construction, the actual coverage of the network is different from the theoretical coverage of the network planning and design. At present, three methods are generally used to measure the current network coverage status: 1. Measure through large-scale and detailed road tests and analyze test indicators; 2. According to the network problems complained by customers 10086 (China Mobile customer service number), understand network coverage through on-site fixed-point tests 3. Use the propagation model to calculate the theoretical coverage simulation map. ...

AI Technical Summary

Problems solved by technology

[0004] 1. Defects of large-scale and detailed road testing: the test cycle is long and generally only guarantees the coverage test in the urban area, and the automatic road test system (testing equipment loaded on the taxi) or the area that cannot be reached by the daily test of the network maintenance personnel The coverage cannot be obtained by means of testing; and the road test data can only represent the downlink coverage of the street surface, and the test data representing the actual coverage cannot be obtained for the blocked by buildings, indoor coverage and untested areas; in addition, through The "coverage rate" obtained by the drive test data is a global concept, and it is impossible to fully grasp the specific area

[0005] 2. Defects in understanding network problems through customer 10086 complaints: First, customer complaints lag behind network problems, and network complaints have limited sampling of network problems; second, because the current mobile network is covered by cellular, the granularity of network adjustment is generally at the cell level , due to the unknown coverage of the surrounding area, when dealing with network complaints, it is possible to solve the complaints of one point and bring the hidden dangers of complaints in other unknown areas

[0006] 3. The network coverage obtained by using the propagation model is based on the basic physical information data of the base station and antenna attribute data extracted from the Operation Maintenance Center (OMC). Considering the attenuation of wireless signal propagation by terrain and landforms, traditional propagation The model obtains the coverage map of network signal strength, without considering regional differences and the coverage of buildings with repeater indoor distribution systems installed on the network, which is not accurate enough

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