Short stay detection optimization method and short stay detection optimization system

Abstract

The invention discloses a short stay detection optimization method and a short stay detection optimization system which are used for optimizing signaling waste and user experience reduction caused by unreasonable mobility and power parameter configuration in a wireless network. The short stay detection optimization method comprises the following steps: a first cell base station counts the stay time of a user terminal in a first cell when determining to switch the user terminal to a second cell, and adds the stay time to historical information of the user terminal; a second cell base station judges whether the user terminal has unnecessary short stay in the first cell according to the historical information of the user terminal; and if the user terminal has unnecessary short stay in the first cell, the second cell base station sends a short stay report to an optimization server, and the optimization server uses the short stay report to optimize a network system. Therefore, short stay can be accurately identified, unnecessary reports can be avoided, and network optimization can be realized.

Description

technical field [0001] The present invention relates to the field of communication, in particular to a method and system for short-lived residence detection optimization. Background technique [0002] In the standard research of 3GPP (The 3rd Generation Partnership Project, 3rd Generation Partnership Project) R11, the problem of the detection method of short stay (Short Stay) of user terminals between base stations is discussed. According to the definition of short stay: short stay is switching from cell A to cell B and staying for a limited time, then switching to another cell C, such as figure 1 shown. Temporary residence will increase the signaling overhead of the network and unnecessary forwarding of data packets, and may lead to a decrease in system performance and end-user experience. Therefore, how to reduce unnecessary short stays to optimize mobility is an important research topic. [0003] In the current handover mechanism, when the user terminal is to be handed...

AI Technical Summary

Problems solved by technology

[0009] First, based on the existing LTE (Long Term Evolution, long-term evolution) architecture, the base station side lacks information such as the speed and direction of motion of the user terminal, and the estimated minimum dwell time will have a large deviation, which will lead to subsequent a large number of misjudgments

[0010] Second, it is impossible to determine whether the short stay is a necessary switch, for example, for figure 2 In the scenario in the above scenario, in cell A, cell B is mainly used to make up for the coverage hole, so the short stay caused by this handover is necessary, but based on the method in the above solution, cell B cannot know whether the user terminal is due to insufficient coverage. switching

[0011] Third, the short-lived resident phenomenon may be due to the handover parameters of cell A and the radio resource management strategy (such as blind handover in the process of load balancing), which lead to unnecessary handover. Therefore, in the above scheme, only the message is sent For a cell with a short-term residence phenomenon, but the base station in question cannot obtain the above information, so subsequent optimization cannot be performed

[0021] First, if the problem detection node is placed in the middle cell, the calculation of the short-term residence time may be wrong. When the terminal is handed over from cell B to cell C, the handover may fail, or it may be rebuilt to cell C or cell B, and This phenomenon is not short-term residence, but is attributed to the detection and optimization process of late switching / premature switching

[0022] Second, the trigger event of handover: this solution carries the trigger event of handover. Since the handover is carried out by the base station side with the assistance of the handover trigger event, the simple handover trigger event cannot be equal to the handover threshold set by cell B, so the handover trigger Events are not very helpful for optimization and detection

[0023] Third, this mechanism may lead to a lot of waste of signaling. For example, for ping-pong handover, the handover is characterized by switching between cell A and cell B more than 3 times, then cell B can send the report to cell A, and the same Cell A will also send reports to cell B. As the terminal switches between cells A and B multiple times, this will lead to many unnecessary reports.

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