Network flow branching method based on grid assist

Abstract

The invention discloses a grid assist-based network flow branching method comprising the following steps of: collecting the grid data, drawing the grid effect according to the grid data, analyzing the reason of flow difference according to the grid data and the grid effect, and dealing with the flow difference. In the method provided by the invention, web users using a TD (Time Division) terminal and a WLAN (Wireless Local Area Network) terminal in a 2G (The 2nd Generation Telecommunication) network are accurately positioned, and the behaviors of the web users are analyzed for judging the needs of the web users for network bandwidth, in combination with the accurate position information and the user behaviors, and the web users are guided to use the TD network and the WLAN network as far as possible to surf the Internet by market-based means and technological means, thus, the utilization rate of the 2G network is reduced. The floor-based information, such as the hot spot region, the users and the user group, is found out by the grid-based G / T (GSM / TD) dual-network flow branching method, and provided for a market department to carry out flow branching; and short boards of network construction and network optimization are found out by the grid-based G / T dual-network flow branching method.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a grid-assisted network distribution method. Background technique [0002] The existing network GSM / TD (hereinafter referred to as G / T) data network dual-network shunt evaluation methods mainly include two methods: the daily average data traffic flow > 500MB, and the equivalent data traffic volume > 45%; the daily average data traffic TOP5 % cell, TBF multiplexing degree > 2 (Noci equipment), or each PDCH (Packet Data Channel, packet data channel) bearer efficiency > 6.8kbps. [0003] These two methods are based on the identification level of the cell, relying solely on the data traffic network management traffic data, such as data traffic flow, data traffic equivalent traffic, TBF (Temporary Block Flow, temporary block flow) multiplexing degree, KPI (Key Performance Indicator, Key Performance Indicator) indicators such as the carrying efficiency of each PDCH (tot...

AI Technical Summary

Problems solved by technology

[0003] These two methods take the cell as the identification level, and rely solely on data service traffic network management traffic data, such as data service traffic, data service equivalent traffic, TBF (Temporary Block Flow, temporary block flow) multiplexing degree, KPI (Key Performance Indicator, Key Performance Indicator) indicators such as the carrying efficiency of each PDCH (total traffic per unit time / number of occupied PDCHs) judge the load of the cell, and the judgment reference is single, without reference to the user's ability to support TD and WLAN networks, and the accuracy rate low

[0004] In addition, most of the single GSM cells in the existing network cities cover an area of ​​more than 10,000 square meters. The existing network offloading scheme judges the offloading area based on the cell level, and it is difficult to locate the specific location of the users that need to be offloaded.

To a certain extent, resulting in poor shunt effect

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