Method for accurate spot selection of wireless local area network (WLAN)

Abstract

The invention discloses a method for accurate spot selection of a wireless local area network (WLAN). The method comprises the steps of firstly setting dimension coefficients and weights of dimension coefficients, wherein the dimension coefficients include a value dimension coefficient, a mass dimension coefficient, a wifi user behavior dimension coefficient and a terminal dimension coefficient; then judging a WLAN value of a community according to dimension coefficient CSM and screening out potential hotspot community regions of the WLAN; and finally performing rasterization positioning to users in the potential hotspot community regions and accurately positioning WLAN hotspot communities. The method for the accurate spot selection of the WLAN is based on real-time data acquired by existing networks, performs data memorizing and summary of the data according to different analysis requirements and improves the accuracy of the WLAN spot selection as far as possible on the premise that correct judgment of a region range of the high-WLAN-value potential hotspots is guaranteed.

Description

technical field [0001] The invention relates to the technical field of mobile communication, and specifically designs a method for precise point selection of a WLAN network. Background technique [0002] In wireless network planning, site survey and selection play an extremely important role in mobile communication network construction, and have a significant impact on network construction costs and network operation quality after construction. [0003] The current WLAN point selection is mainly based on subjective experience. The traditional method takes the cell as the identification level and relies solely on data services and traffic network management traffic data, such as data service traffic, data service equivalent traffic, TBF multiplexing, etc. The KPI index evaluates the potential value of WLAN in the community, lacks effective system analysis and data support, and has a single reference for WLAN point selection. At the same time, due to the large coverage of the...

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Problems solved by technology

[0003] The current WLAN point selection is mainly based on subjective experience. The traditional method takes the cell as the identification level and relies solely on data services and traffic network management traffic data, such as data service traffic, data service equivalent traffic, TBF multiplexing, etc. KPI indicators evaluate the potential value of WLAN in the community, lack of effective system analysis and data support, WLAN point selection reference quantity is single

At the same time, due to the large coverage of the cell, it is impossible to accurately define the user's ability to support TD and WLAN networks in the region, and it is also impossible to evaluate the impact of network problems on the offloading effect. WLAN deployment cannot effectively cover GSM and TD data hotspots. low rate

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