WO2008058434A1

WO2008058434A1 - A method for optimizing group call area in group system

Info

Publication number: WO2008058434A1
Application number: PCT/CN2006/003741
Authority: WO
Inventors: Yun Wu
Original assignee: Zte Corporation
Priority date: 2006-11-14
Filing date: 2006-12-30
Publication date: 2008-05-22
Also published as: CN101137112A; CN101137112B

Abstract

A method for optimizing group call area in group system is disclosed, which comprises: drawing up the serving cell list for serving the group according to the active region of the group; after serving the group for a period of time by the serving cells which are drawn up, dividing the period of time into smaller time period, and performing a statistic on the traffic in each serving cell in these small time period; determining the serving cells for serving the group again in small time periods according to the statistic result. With the method according to the present invention, scheduling areas are optimized, system resource is saved, and the system resource utilization is improved.

Description

TECHNICAL FIELD The present invention relates to the field of trunking communications, and in particular, to a method for optimizing a group call zone in a cluster system. BACKGROUND In the current field of trunking communication technologies, a group call service needs to allocate resources simultaneously on multiple cells and maintains until the end of the call. However, many cells tend to have no users in certain time periods. This is a great waste of resources in the cluster system. Therefore, optimizing the group call area has also become an important task. In the current group call area optimization method, the basic method is to analyze the user activity range by manually investigating and analyzing the statistics of the operation and maintenance center to determine a fixed service area of a group, and the fixed service area includes several cells. On this basis, a more flexible way is developed, that is, the group user and the cluster scheduling center determine a plurality of fixed service areas in advance, and different service areas correspond to different scenarios. Most of the time this group may just use one of the service areas. In a few cases, the rest of the scenes are encountered. The group users actively notify the dispatch center through SMS or voice, and change another service area. For example, when a group of users go to another place to enter a group activity. . In this way, the cluster user is required to actively notify the dispatch center to replace the service area. Therefore, it is necessary to confirm that all the users have been transferred to the new monthly service area before the replacement, which brings inconvenience and risks to the user. SUMMARY OF THE INVENTION The object of the present invention is to overcome the shortcomings in the prior art that the scheduling area cannot be dynamically adjusted, and the defect of the scheduling area can be manually adjusted according to the location of the user, and a dynamic scheduling of the system can be implemented to ensure the quality of the user. A group call area optimization method for saving system resources. The technical solution of the present invention includes the following steps: Step 1: formulate a serving cell table serving the group according to the activity range of the group; Step 2: After using the proposed serving cell to serve the group for a period of time, the cluster system will The segment time is divided into some smaller time segments, and the traffic volume of each serving cell in these small time segments is counted. Step 3: According to the statistical result of step 2, the cluster system re-determines the group according to the small time period. Service area. In the above solution, the small time period in step two may be days or hours. By adopting the method of the invention, compared with the existing 3⁄4 surgery, the effect of optimizing the scheduling area is achieved, the system resources are saved, and the utilization of system resources is improved. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a flow diagram of one embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The details of the technical solution are further described in detail below with reference to the embodiments: - The cluster system operator opens a cluster business monthly service in a city, wherein a hospital in the city has all the middle and above leaders and attending doctors in the hospital. As a group, the nurses with insurance have opened a cluster communication service.

1. Before the business is opened, the operator cluster system administrators and group customers (ie hospital administrators) through investigations determine that the group's activities range from hospitals in the south of the city to medical colleges on the edge, and families in the east of the city. The district and the health bureaus in the north of the city are not adjacent.

2. Through the previous coverage test and network simulation, the cluster system administrator determines that 6 cells, such as C1/C2/C3/C4/C5/C6, need to be included in the serving cell list in order to cover the area described in the first step. Among them, C1/C2/C3 can complete the coverage of hospitals and medical colleges, C4/C5 can complete the coverage of family areas, and the health bureau needs to rely on C6 cells to cover.

3. After the system service is enabled for one month, the cluster system will be divided into 24 hours per day, according to 1 hour. The traffic volume of each serving cell is counted for the time unit. 4. The cluster system analyzes the statistical data to:

C1/C2 cell: In any hour, there is business, but the business volume is small in the early morning;

C3 Community: No business is generated after 9:00 every night until 7:00 the next morning;

C4/C5 Community: No business is generated between 1 am and 6 am every day;

C6 Community: No business is produced after 7:00 pm on weekdays until 8:00 am on the following day, and no business is generated on Saturdays and Sundays. The cluster system filters out the time period in which each cell has no service from the above statistics.

5. According to the analysis result obtained in the fourth step, the cluster system generates a new service plan, and adjusts the time period of each cell to be:

6. The cluster system applies the new solution obtained in the fifth step. Through the above optimization, the resource utilization of the system has been effectively improved. Before optimization, there are 6 communities serving the group all day, for a total of 6*7*24=1008Cell*Hour, and optimized, this The number is reduced to 810Cell*Hour, releasing about 20% of the resources. Since the optimization scheme is based on long-term data statistics and conforms to the user's activity mode, it also ensures the needs of cluster users. In the above embodiment, if the statistics are performed in a small time period, the obtained crusade is Saturday and Sunday, and no traffic is generated in the C6 cell, and other cells generate traffic every day. Therefore, a new scheme can be drawn up as follows: The C6 community does not provide services on Saturday and Sunday, and the rest of the content remains unchanged.

Claims

The present invention provides a method for optimizing a group call area in a cluster system, which includes the following steps: Step 1: formulate a service cell table serving the group according to the activity range of the group; Step 2: using the proposed After the serving cell serves the group for a period of time, the cluster system divides the time into smaller time segments, and statistics the traffic volume of each serving cell in the small time segments;

Step 3: According to the statistical result of step 2, the cluster system re-determines the serving cell of the group according to a small time period. The method of optimizing a group call area in a cluster system according to claim 1, wherein the small time period in step 2 is day. The method of optimizing a group call area in a cluster system according to claim 1, wherein the small time period in step 2 is an hour.