WO2017028393A1

WO2017028393A1 - Sleeping cell detection method and system

Info

Publication number: WO2017028393A1
Application number: PCT/CN2015/095672
Authority: WO
Inventors: 郝丽; 王悦
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-08-17
Filing date: 2015-11-26
Publication date: 2017-02-23
Also published as: CN106470440A

Abstract

Provided are a sleeping cell detection method and system. The method comprises: generating a sleeping cell detection strategy, wherein the detection strategy comprises: a holding time, a detection parameter and a parameter threshold; and determining and detecting a cell to be detected, and when a detection result of the cell to be detected satisfies a criterion of a sleeping cell, deciding that the cell is a sleeping cell.

Description

Sleep cell detection method and system

Technical field

This document relates to the field of mobile communications, such as a method and system for detecting sleeping cells.

Background technique

In the Universal Mobile Telecommunications System (UMTS), the cell fails due to unknown reasons. However, although the cell status is normal, but the user cannot access the user and provide services, these cells are considered to belong to the Sleeping Cell. . For a sleeping cell, the cell status is also normal because there is no clear alarm information. Therefore, it is difficult to find out the existing alarms, notifications, and other information in time, which may result in the sleeping community not being maintained for a long time. Therefore, comprehensive comprehensive indicators are needed. Judging, timely discovering sleeping communities and improving service quality. In the related art, most of the detection algorithms for the sleeping cell are implemented on the base station side (for example, Node B Node B), and the Node B detects only the cell under the Node B, and the detection is in real-time and effective.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

Embodiments of the present invention provide a method and system for detecting a sleeping cell, and discover a sleeping cell in time.

According to an aspect of the present invention, a method for detecting a sleeping cell is provided, which is applied to an ad hoc network system, and the method includes:

Generating a detection strategy of the sleeping cell; the detection strategy includes: maintaining duration, detecting parameters, and parameter thresholds;

Determining the cell to be detected, and querying each detection parameter in the hold duration of each cell to be detected before the detection, and comparing each detection parameter with a corresponding parameter threshold, when the comparison result of a cell satisfies the sleeping cell When the condition is met, it is determined that the cell is a sleeping cell.

Optionally, in the method of the present invention, the detecting strategy further includes: detecting a cycle; After determining the cell to be detected, periodic detection is performed according to the detection period.

Optionally, in the method of the present invention, the detection parameter includes one or more of the following parameters: a cell radio resource control RRC connection establishment success number and a cell availability rate.

Optionally, in the method of the present invention, the comparison result satisfies the condition of the sleeping cell, including: the number of times the cell RRC connection success is less than the first threshold set in the detection policy, and/or The cell availability rate is greater than a second threshold set in the detection policy.

Optionally, in the method of the present invention, after comparing the number of times that the cell RRC connection success is less than the first threshold set in the detection policy, the method further includes: querying N days ago and The pre-detection duration is the number of successful RRC connection establishments in the same time period. When it is determined that the number is greater than the first threshold, it is determined that the corresponding cell is a sleeping cell; where N is a positive integer.

Optionally, in the method of the present invention, when the comparison result of a cell satisfies the condition of the sleeping cell, the method further includes:

Querying the alarm information of the cell, if the cell has a returning alarm report, determining that the cell is not a sleeping cell; otherwise, determining that the cell is a sleeping cell;

And/or, querying configuration information of the cell, if it is determined according to the configuration information that the cell is manually reserved for operation/reservation/manual barring (Bar) state, determining that the cell is not a sleeping cell; otherwise, determining that the cell is a sleeping cell .

Optionally, in the method of the present invention, in the cell data acquired by the network element centralized management system EMS, each detection parameter, the alarm information of the cell, and the configuration information of the cell in the retention time of each cell to be detected before the detection are queried.

Optionally, in the method of the present invention, when the self-healing sleep cell is configured in the detection policy, after the detection of the sleeping cell is completed, the method further includes: querying a base station to which each sleeping cell belongs, and generating a self-healing file of the sleeping cell And sending the file to the network element corresponding to the management base station to perform self-healing of the sleeping cell.

According to another aspect of the present invention, an ad hoc network system is further provided, including:

a policy module, configured to generate a detection strategy of a sleeping cell; the detection strategy includes: maintaining Length, detection parameters and parameter thresholds;

a detecting module, configured to determine a cell to be detected, and, when detecting the sleeping cell, query each detecting parameter in the holding duration of each cell to be detected before detecting, and compare each detecting parameter with a corresponding parameter threshold, when a certain cell When the comparison result satisfies the condition of the sleeping cell, it is determined that the cell is a sleeping cell.

Optionally, in the ad hoc network system of the present invention, the detecting module is further configured to query the alarm information of the cell when the comparison result of the cell meets the condition of the sleeping cell, and if the cell has a retired alarm report, Determining that the cell is not a sleeping cell; otherwise, determining that the cell is a sleeping cell; and/or querying the configuration information of the cell, if it is determined according to the configuration information that the cell is in a manual reserve or Bar state, determining that the cell is not a sleeping cell; otherwise, determining that the cell is not a sleeping cell; Sleeping community.

Optionally, in the ad hoc network system of the present invention, the detecting module is further configured to: when the self-healing sleeping cell is configured in the detection policy, query the belongings of each sleeping cell after the detection of the sleeping cell is completed. The base station generates a sleep cell self-healing file, and sends the file to the network element corresponding to the management base station to perform self-healing of the sleeping cell.

In the embodiment of the present invention, the detection strategy of the sleeping cell is set in a Self-Organizing Network (SON) system, which can detect and self-heal the sleeping cell under multiple Node Bs in a timely and effective manner, and avoids that the fault is found too late. The sleeping community has not been maintained for a long time. In addition, in the embodiment of the present invention, the user can participate in the formulation of the sleep cell detection strategy, so that the detection process is more in line with the user's needs, and the user experience is enhanced.

BRIEF abstract

FIG. 1 is a flowchart of a method for detecting a sleeping cell according to Embodiment 1 of the present invention;

2 is a flowchart of a method for detecting a sleeping cell according to Embodiment 2 of the present invention;

3 is a structural diagram of an EMS centralized management system according to Embodiment 4 of the present invention;

4 is a schematic diagram of setting a detection policy according to Embodiment 4 of the present invention;

FIG. 5 is a specific flowchart of a detection module performing sleep cell detection according to a detection policy according to Embodiment 4 of the present invention;

6 is a flowchart of detecting a sleeping cell in a free mode according to Embodiment 4 of the present invention;

7 is a flowchart of detecting a sleeping cell in a controlled mode according to Embodiment 4 of the present invention;

8 is a flowchart of a OMMB performing a self-healing process of a sleeping cell according to Embodiment 4 of the present invention;

9 is a format diagram of a sleeping cell detection file in an application example 1 according to Embodiment 4 of the present invention;

10 is a format diagram of a sleeping cell detection file in Application Example 2 in Embodiment 4 of the present invention;

11 is a format diagram of a self-healing file of a sleeping cell according to Embodiment 4 of the present invention;

12 is a format diagram of a self-healing result file of a sleeping cell according to Embodiment 4 of the present invention;

FIG. 13 is a structural block diagram of a self-organizing network system according to Embodiment 5 of the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. Embodiment 1

The embodiment of the present invention provides a method for detecting a sleeping cell, which is applied to a SON system. As shown in FIG. 1 , the method in this embodiment includes:

Step S101: Generate a detection strategy of a sleeping cell, where the detection strategy includes: a retention duration, a detection parameter, and a parameter threshold;

In an embodiment, the detecting strategy may further include: detecting a period, so that the periodic detecting is performed according to the detecting period.

In the embodiment of the present invention, the detection strategy is set and generated by providing a detection policy setting interface for the user. For example, the user can set some policy parameters that can be controlled by the user through the detection policy setting interface, so that the generated detection policy is more in line with the user's needs and enhances the user experience.

In this embodiment, the detection parameters include, but are not limited to, a cell RRC connection establishment success count and a cell availability rate.

Step S102, determining a cell to be detected, detecting the cell to be detected, and when the result meets the condition of the sleeping cell, determining that the cell is a sleeping cell;

During the detection of the sleeping cell, the detection parameter of each cell to be detected in the retention time before the detection is compared, and the detection parameter is compared with the corresponding parameter threshold, and when the comparison result of the cell satisfies the condition of the sleeping cell, the cell is determined to be Sleeping community.

The cell to be detected may be a cell of the entire network managed by the network element centralized management system EMS.

In this embodiment, the comparison result satisfies the condition of the sleeping cell, that is, the number of successful RRC connections in the cell duration is less than the first threshold set in the detection policy, and/or the cell availability rate is greater than The second threshold set in the detection strategy. The first threshold may be set by the user, and the second threshold may be a fixed value, which may be solidified in the detection policy without user setting.

In an embodiment of the present invention, in order to prevent erroneous judgment, when comparing the number of successful RRC connection success times in the retention time period before detection is less than the first threshold set in the detection policy, the query may also be performed N days ago. The pre-detection duration is the number of times the cell RRC connection is established in the same time period, and the cell is determined to be a sleeping cell only when the number of times is greater than the first threshold; where N is a positive integer, and the value may be Is 7.

In this embodiment, the SON system queries, in the cell data acquired by the network element centralized management system EMS, the detection parameters in the hold duration of the to-be-detected cell before detection.

In summary, the method in the embodiment of the present invention sets the detection strategy of the sleeping cell in the self-organizing network system, and can detect the sleeping cell under multiple Node Bs in a timely and effective manner, thereby avoiding the late detection of the fault and the long-term sleeping community. There is no maintenance problem. In addition, in the embodiment of the present invention, the user can participate in the formulation of the sleep cell detection strategy, so that the detection process is more in line with the user's needs, and the user experience is enhanced.

Embodiment 2

The embodiment of the present invention provides a method for detecting a sleeping cell, and the implementation principle is the same as that of the first embodiment. The difference is that when the comparison result of a cell satisfies the condition of the sleeping cell on the basis of the first embodiment, the anti-false alarm operation is performed. In the description of the present embodiment, the differences will be emphasized, and the contents of the first embodiment will be referred to for the similarities.

As shown in FIG. 2, the method in this embodiment includes:

Step S201, generating a detection strategy of a sleeping cell; the detection strategy includes: maintaining Length, detection parameters and parameter thresholds;

Step S202, determining the to-be-detected cell, querying the detection parameter of the to-be-detected cell in the retention time period before the detection, comparing the detection parameter with the corresponding parameter threshold, and when the comparison result of the one cell satisfies the condition of the sleeping cell, step S203 is performed;

In step S203, the alarm information of the cell is queried, and if the cell has a report of the returning alarm, it is determined that the cell is not a sleeping cell, and if the cell has not returned the alarm report, step S204 is performed;

Step S204, querying the configuration information of the cell, if it is determined according to the configuration information that the cell is in a reserved or prohibited state, it is determined that the cell is not a sleeping cell, and if it is determined according to the configuration information that the cell is neither manually reserved nor The state is manually disabled and is determined to be a sleeping cell.

In the embodiment of the present invention, the SON system queries, in the cell data acquired by the network element centralized management system EMS, the detection parameters, the alarm information of the cell, and the configuration information of the cell in the hold duration of the to-be-detected cell before the detection.

It can be seen that, when performing the sleep cell detection, in addition to performing the sleep determination according to the performance data of the cell as described in the first embodiment, the method further detects the alarm information and the configuration information of the cell, thereby avoiding errors. Judge.

Embodiment 3

The embodiment of the invention provides a method for detecting a sleeping cell, which is based on the detection of a sleeping cell in the first and second embodiments, and enters a self-healing operation of the sleeping cell. In the description of the embodiment, the differences between the first and second embodiments will be emphasized. For the similarities, refer to the contents of the first and second embodiments.

In this embodiment, on the basis of the first or second embodiment, the sleep cell detection policy may be configured to: whether the policy operation mode, whether to open the self-healing sleep cell, and whether to restart the radio remote unit RRU when the self-healing sleep cell is started And the like; wherein the policy operation mode comprises: a free mode that does not require user confirmation when the sleeping cell is self-healing and a controlled mode that requires user confirmation.

In this embodiment, after detecting the sleeping cell, the following steps are also performed:

Step 1: Determine whether a self-healing operation is performed on the sleeping cell in the detection policy, and if so, Then perform step 2;

Step 2: Determine the policy operation mode configured in the detection policy, if it is in the controlled mode, go to step 3; if it is in the free mode, go to step 4;

Step 3, the user is sent an indication message whether to perform a self-healing operation on the sleeping cell, and in the case that the user indicates to perform the self-healing operation, step 4 is performed;

Step 4: Query the base station to which the sleeping cell belongs, generate a sleeping cell self-healing file, and send the file to the network element managing the base station to perform self-healing of the sleeping cell by using the network element. When the self-healing file receiving network element performs self-healing of the sleeping cell, it also determines whether to restart the RRU according to the configuration of the detection policy, so as to perform corresponding operations according to the judgment result.

Through the elaboration of the first, second and third embodiments, the embodiment of the present invention uses the self-organizing network (SON) system to implement detection and self-healing of the sleeping cell, and improves the real-time detection by formulating a periodic detection strategy. Compared with the detection implemented by the Node B itself, the object detected by the embodiment of the present invention is a cell under multiple Node Bs in the network management. Through the comprehensive detection of performance, alarm and wireless configuration data, the effectiveness of the algorithm is guaranteed. In terms of the user experience, the user can set the retention time and the Key Performance Indicator (KPI) threshold to detect the sleeping cell according to the experience, and in the process of executing the policy, the user can display the detection result of the sleeping cell and the self. The result is more. The detection strategy of the sleeping cell can also be set to a free mode or a controlled mode. For the detected sleeping cell, the user can choose whether to self-heal the sleeping cell or automatically self-heal the sleeping cell without manual intervention, thereby increasing the user experience.

Embodiment 4

The embodiment of the present invention provides a method for detecting a sleeping cell. In this embodiment, a method for detecting a sleeping cell is described in more detail by disclosing more technical details.

First, as shown in Figure 3, it is the architecture diagram of the EMS centralized management system. As part of the EMS (Element Management System), the SON system manages the attributes of the entire network NodeB by using the EMS. The SON system can detect the sleeping cell under the Node B of the whole network. In the SON system, the policy module can implement the sleep cell detection strategy, and the detection module can implement the detection of the sleeping cell according to the established detection strategy, and the EMS performance is utilized in the detection module. The related data reported by the module, the alarm module, and the configuration module are used to detect the sleeping cell. The monitoring module reports the detection and self-healing status in real time and displays it to the user. The master control module is used to complete coordinated control between multiple modules.

Second, set the SON sleep cell detection strategy:

As shown in Figure 4, an interface is set for the detection policy. Under this interface:

The user can select the policy mode of operation, and different modes can reflect whether manual intervention is required. In free mode, users do not need manual intervention and confirmation, automatic periodic detection and self-healing sleep cells. In controlled mode, users can choose whether to self-heal the sleeping cell according to their needs.

The user can select the monitoring period, and the monitoring period ranges from 1 to 24 hours, indicating how often the sleeping cell is detected. The user can choose to keep the duration and calculate the KPI value for different time periods. The user can input a threshold of the number of successful establishments of the RRC (Radio Resource Control) connection as needed, and determine the detection algorithm of the sleeping cell together with the duration of the stay, which has a certain influence on whether the sleeping cell can be detected. The user can choose whether to restart the RRU (Radio Remote Unit), whether to open the switch of the self-healing sleeping cell, and determine the self-healing function of the sleeping cell. After the policy template is created, the policy is sent to the EMS management NE, and the detection module starts the detection process of the sleeping cell according to the detection policy.

Third, the sleeping community detection process:

1. Performance testing:

Detected KPI: RRC connection establishment success count and cell availability rate. The cell availability rate refers to the percentage of the normal running time of the cell in the statistical period. The cell availability rate reflects the cell status characteristics and is used to investigate the normal operation of the cell during the statistical period. The number of successful RRC connection establishment is counted according to all establishment reasons in the RRC connection setup request message.

In this embodiment, the performance detection mode may be:

The value of the hourly granularity in the time period in which the cell availability rate is detected before the detection start time is greater than the set threshold (which may be 99.99%), and the number of successful cell RRC connection establishment success is detected before the detection start time. The value of the hourly granularity in the time period of the retention time is smaller than the threshold in the detection strategy, and the value of the same time period before 7 days is larger than the threshold in the detection strategy, then The cell is added to the list of sleeping cells.

2. Alarm detection:

For a cell according to the performance of the detected sleeping cell list, if a cell has reported a related backoff alarm, the cell is not a sleeping cell, and the cell is deleted from the sleeping cell list.

3. Configuration detection:

For the sleeping cell detected according to the alarm, the wireless configuration parameter is detected again, if some configuration parameters are artificially set to the relevant state, for example, if the cell is reserved for operation and maintenance indication, or the cell is forbidden to access, or the OMCR starts the cell ban. If the RNC dynamically activates or deactivates the cell ban, or the control switch that intelligently turns off the carrier frequency function is turned on, or the carrier is not allowed to be turned off, etc., these cells are considered to be in the manual Reserve/Bar state instead of the sleeping cell. These cells are deleted in the cell list to obtain the last sleeping cell list.

As shown in FIG. 5, a flowchart of performing sleep cell detection according to a detection policy according to the embodiment includes the following steps:

Step 51: Obtain a cell list of the entire network.

Step 52: At the time when the detection period arrives, the detection is started, and the performance indicators in the time period of the retention duration of each cell in the query list before the detection start time include: the number of successful RRC connection establishment and the cell availability rate;

Step 53: Obtain performance indicators of all cells;

In step 54, for all cells, the following loop operation is performed:

Step 541: Determine whether the cell availability rate is greater than 99.99% in the time period during which the duration is maintained. If yes, execute step 542. If not, determine that the cell is not a sleeping cell, and determine the next cell;

Step 542: Determine whether the number of times the cell RRC connection establishment success is less than the policy setting threshold in the time period of the hold duration, if yes, execute step 543; if not, determine that the sleep cell is not the sleep cell, and perform the judgment of the next cell;

In step 543, it is determined whether the number of times the cell RRC connection establishment success is greater than the policy setting threshold within 7 days before the same historical time period, and if yes, step 544 is performed; if not, determining that it is not a sleeping cell, proceeding to the next cell Judgment

In step 544, the cell is added to the sleeping cell list.

Step 55: Query the alarm information for the cell in the current sleeping cell list, if there is a cell with a returning alarm report, go to step 56; if no, go to step 57;

Step 56, the cell with the returning alarm report is deleted from the sleep cell list, step 57;

Step 57: Query the configuration information for the cell in the current sleeping cell list, if the cell is in the manual Reserve/Bar state, go to step 58; otherwise, go to step 59;

Step 58, the cell in the manual reserve / Bar state is deleted from the sleep cell list, step 59;

In step 59, a final sleep cell list is obtained, and a sleep cell detection file is generated.

4. When the operation mode in the detection strategy is free mode, the detection process is as shown in Figure 6, including:

Step 61: The SON master control detects that the sleep cell detection strategy starts to be executed;

Step 62: The SON master control notification monitoring module presents the user with the start of the sleep cell detection.

Step 63: The detecting module generates a sleeping cell detection file according to the sleeping cell detection algorithm in (3);

Step 64: The SON master control notification monitoring module completes the detection of the sleeping cell, and presents the sleeping cell to the user.

Step 65, detecting whether the self-healing switch in the sleep cell detection policy is turned on, and if so, executing step 66; if not, executing step 68;

Step 66: Search for the NodeB to which each sleeping cell belongs in the sleep cell detection file generated in step 63, generate a sleeping cell self-healing file, and send the self-healing file to the management network element OMMB that manages the NodeB, starting with the OMMB. Performing the operation of the self-healing sleeping cell;

Step 67: After the self-healing is completed, the sleep cell self-healing result file is generated, and the SON master control notification monitoring module completes the self-healing of the sleeping cell, and presents the user with the self-healing result of the sleeping cell.

Step 68, the end.

5. When the operation mode in the detection strategy is controlled mode, the detection process is as shown in Figure 7, including:

Step 71: The SON master control detects that the sleep cell detection policy starts to be executed.

Step 72: The SON master control notification monitoring module presents the user with the start of the sleep cell detection.

Step 73: The detecting module generates a sleeping cell detection file according to the sleeping cell detection algorithm in (3);

Step 74: The SON master control notification monitoring module completes the detection of the sleeping cell, and presents the sleeping cell to the user.

Step 75, detecting whether the self-healing switch in the sleep cell detection policy is turned on, and if so, executing step 76; if not, executing step 79;

Step 76, asking the user whether it is determined that the sleep cell self-healing operation is to be performed, if yes, proceed to step 77; if not, proceed to step 79;

Step 77: Search for the NodeB to which each sleeping cell belongs in the sleep cell detection file generated in step 73, generate a sleeping cell self-healing file, and send the self-healing file to the management network element OMMB that manages the NodeB, starting with the OMMB. Performing the operation of the self-healing sleeping cell;

Step 78: After the self-healing is completed, the sleep cell self-healing result file is generated, and the SON master control notification monitoring module completes the self-healing of the sleeping cell, and presents the user with the self-healing result of the sleeping cell.

Step 79, the end.

6. The OMMB performs the self-healing process of the sleeping cell, as shown in FIG. 8, and includes the following steps:

Step 81: Receive an MML command of the self-healing sleeping cell.

Step 82: Acquire a self-healing file of the sleeping cell;

Step 83, it is determined whether the file is incorrect, and if so, step 811 is performed; if not, step 84 is performed;

Step 84: Acquire local cell information.

Step 85, blocking + unblocking the local cell;

Step 86, detecting whether a reset RRU is configured in the sleep cell detection policy, and if so, executing step 87; if not, executing step 89;

Step 87, it is determined whether the RRU meets the reset condition (ie, it is determined whether all cells of the RRU are sleeping cells), and if yes, step 88 is performed, and if not, step 89 is performed;

Step 88, reset the RRU;

Step 89, generating a self-healing result file;

Step 810, returning an MML command result;

Step 811, ending.

The method and system for detecting a sleeping cell according to the embodiment of the present invention have been applied in the use of an actual SON system, and can detect a sleeping cell in time and self-heal the sleeping cell. The following are several application examples for implementing sleep cell detection and self-healing to better illustrate the implementation process of the embodiments of the present invention.

Application example one:

First, SON creates a sleeping cell detection strategy.

Create a sleep cell detection policy template. The user set monitoring period is 1 hour, the duration of the hold is 3 hours, and the threshold for the number of successful establishments of the RRC connection is 10, the RRU is not restarted, and the sleep cell self-healing switch is turned off.

Second, set the executed network element and issue the detection policy.

The cell execution policy is selected. The cells to be detected on the entire network are 1001, 1002, 1003, 1004, and 1005. The SON self-healing monitoring is reported to start detecting the sleeping cell.

Third, obtain a sleeping cell detection file.

Generating a detection file of the sleeping cell according to the detection algorithm of the sleeping cell, including:

Step 1: Through the performance KPI detection, the cell availability rate of the

cell

1001, 1002, 1003, and 1004 in the hold period is greater than 99.99%, and the data of the same time period in the current hold time period of the RRC connection establishment success period is less than 10, 7 days ago. More than 10. The performance indicator indicates a cell that may be a sleeping cell. 1005 is not a sleeping area.

Step 2: The 1001, 1002, 1003, and 1004 cells in step 1 are not reported with a return alarm. The sleeping

cells

1001, 1002, 1003, and 1004 after the alarm detection are obtained.

Step 3. The configuration parameters of the cell in step 2. If the 1004 cell is artificially set to prohibit access, it is not a sleeping cell, and a

list

1001, 1002, 1003 of the final sleeping cell is obtained.

The reported SON self-healing monitoring sleep cell detection report has been generated, and the user presents a sleeping cell. The file format is as shown in FIG. 9.

Application example two

First, SON creates a sleeping cell detection strategy.

Create a sleep cell detection policy template. The user set monitoring period is 1 hour, the duration of the hold is 3 hours, and the threshold for the number of successful establishments of the RRC connection is 10, the RRU is not restarted, and the sleep cell self-healing switch is turned on.

Second, set the executed network element and issue the detection policy.

The cell execution policy is selected, and the cells to be detected on the entire network have 1001, 1002, 1003, 1004, and 1005 reported SON self-healing monitoring to start detecting the sleeping cell.

Generating a detection report of the sleeping cell according to the detection algorithm of the sleeping cell, including:

cell

Step 2: In the 1003, 1004 cell in step 1, there is a cell back-off alarm report, which is not a sleeping cell. The sleeping

cells

1001, 1002 after the alarm detection are obtained.

Step 3. The configuration parameters of the cell in step 2. If the 1002 cell is reserved for operation and maintenance, it is not a sleeping cell, and a list 1001 of the final sleeping cell is obtained, as shown in FIG.

Third, self-healing the sleeping community according to the detection strategy, including:

Step 4: If the self-healing switch of the sleep cell detection policy is turned on and the policy operation mode is the controlled mode, the user can confirm whether to perform the self-healing operation of the sleeping cell. If the user confirms the self-healing operation of the sleeping cell, the Node B to which the sleeping cell belongs is queried to generate a sleeping cell self-healing file, and the file format is as shown in FIG. 11.

Step 5: After the user confirms that the self-healing of the sleeping cell is performed, the self-healing operation of the sleeping cell self-healing file generated in step 4 is performed, the local cell is blocked/unblocked, and the self-healing result file of the sleeping cell is generated, and the file format is as shown in FIG. 12 . Shown.

Embodiment 5

An embodiment of the present invention provides a self-organizing network system, as shown in FIG. 13, including:

The policy module 1310 is configured to generate a detection strategy of the sleeping cell, where the detection policy includes: a retention duration, a detection parameter, and a parameter threshold;

The detecting module 1320 is configured to determine a cell to be detected, and when detecting the sleeping cell, query a detection parameter of the to-be-detected cell in the retention duration before the detection, compare the detection parameter with a corresponding parameter threshold, and compare the result of the cell. When the condition of the sleeping cell is satisfied, it is determined that the cell is a sleeping cell.

In the embodiment of the present invention, the policy module 1310 can implement the detection policy setting and generation by providing the user with a detection policy setting interface. For example, the user can set some policy parameters that can be controlled by the user through the detection policy setting interface, so that the generated detection policy is more in line with the user's needs and enhances the user experience.

In the embodiment of the present invention, the detection parameters include, but are not limited to, a cell RRC connection establishment success count and a cell availability rate. At this time, the comparison result satisfies the condition of the sleeping cell, that is, the number of successful RRC connection success times in the retention duration before the detection is smaller than the first threshold set in the detection policy, and/or the cell availability rate is greater than the detection policy. The set second threshold. The first threshold may be set by the user, and the second threshold may be a fixed value, which may be solidified in the detection policy without user setting.

In an embodiment of the present invention, in order to prevent misjudgment, when comparing the number of successful RRC connection success times in the hold duration before detection is less than the first threshold set in the detection policy, the detecting module 1320 further queries N days. The number of successful RRC connection establishments in the same time period is the same as the pre-detection duration, and only when the number of times is greater than the first threshold, the corresponding cell is determined to be a sleeping cell; wherein N is a positive integer, The value can be 7.

In an embodiment of the present invention, in order to prevent misjudgment, sleep is judged based on the comparison result. After the cell, the detecting module 1320 can also query the alarm information of the cell. If the cell has a retired alarm report, the cell is determined to be not a sleeping cell. If the cell does not report the retired alarm, the cell is determined to be a sleeping cell; the detecting module 1320 can also query. If the cell configuration information determines that the cell is in the manual reserve or manual Bar state according to the configuration information, it is determined that the cell is not a sleeping cell, and if it is determined that the cell is neither an artificial reserve nor an artificial Bar state according to the configuration information, it is determined as a sleeping cell.

In an embodiment of the present invention, after the detecting module 1320 detects the sleeping cell, the sleeping cell self-healing operation may also be performed according to the configuration of the detection policy. For example, when the detection module 1320 is configured to enable the self-healing sleep cell, after the sleep cell detection is completed, the base station to which each sleep cell belongs is queried, a sleep cell self-healing file is generated, and the file is sent to the management office. The network element of the base station is used to perform self-healing of the sleeping cell.

In the embodiment of the present invention, the self-organizing network system may further include a monitoring module, so that the user can monitor the detection and self-healing process. The monitoring module 1330 can present the detection start and detection result of the sleeping cell to the user, and present the self-healing start and self-healing operation result to the user.

In this embodiment, the ad hoc network system may further include a master control module 1340, which completes coordinated control between the policy module, the detection module, and the monitoring module.

In summary, the method according to the embodiment of the present invention sets the detection strategy of the sleeping cell in the self-organizing network (SON) system, and can detect the sleeping cell under multiple Node Bs in a timely and effective manner, thereby avoiding the fault finding too late and sleeping. The problem that the community is not maintained for a long time. In addition, in the embodiment of the present invention, the user can participate in the formulation of the sleep cell detection strategy, so that the detection process is more in line with the user's needs, and the user experience is enhanced.

For the self-organizing network system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The embodiment of the present invention further provides a computer readable storage medium storing computer executable instructions for executing the method described in the foregoing embodiments.

The embodiment of the invention further provides a sleeping cell detecting device, comprising a memory and at least one processor, wherein the memory stores instructions executable by the processor, the instructions being used to execute the method described in the above embodiments.

This document is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The above description is only for the embodiments of the present invention and is not intended to limit the scope of the present invention.

Industrial applicability

In the embodiment of the present invention, the detection strategy of the sleeping cell is formulated in the SON system, and the detection and self-healing of the sleeping cell under multiple Node Bs can be effectively and timely, and the problem that the fault is found too late and the sleeping community cannot be maintained for a long time is avoided. .

Claims

A method for detecting a sleeping cell is applied to an ad hoc network system, and the method includes:

Generating a detection strategy of the sleeping cell; the detection strategy includes: maintaining duration, detecting parameters, and parameter thresholds;

Determining the cell to be detected, and detecting the cell to be detected, and determining that the cell is a sleeping cell when the detection result of the cell to be detected meets the condition of the sleeping cell;

The detecting the to-be-detected cell includes: querying a detection parameter of each cell to be detected within a retention duration before the detection, and comparing the detection parameter with a corresponding parameter threshold.
The method of claim 1, wherein the detection parameter comprises one or more of the following parameters: a cell radio resource control RRC connection setup success count and a cell availability rate.
The method of claim 2, wherein the sleeping cell condition comprises: the number of times the cell RRC connection success in the retention duration before the detection is less than a first threshold set in the detection policy, and/or the cell is available The rate is greater than a second threshold set in the detection strategy.
The method of claim 3, wherein

The sleep cell condition further includes: the number of successful RRC connection establishment establishments in the same time period that is the same as the pre-detection duration is greater than the first threshold;

The detecting the to-be-detected cell further includes: after comparing the number of times that the cell RRC connection success time in the pre-detection retention time is less than the first threshold set in the detection policy, querying N days before and before the detecting The duration of the establishment of the RRC connection establishment in the same time period is determined. When it is determined that the number of times is greater than the first threshold, the corresponding cell is determined to be a sleeping cell; where N is a positive integer.
The method according to any one of claims 1 to 4, wherein the sleeping cell condition further comprises: the cell has no back-off alarm reporting, and/or the cell is neither a manual reserved state nor a manually prohibited access state;

The detecting the to-be-detected cell further includes:

When the result of comparing the detection parameter of the cell with the corresponding parameter threshold satisfies the condition of the sleeping cell, the alarm information of the cell is queried, and if the cell has a report of the returning alarm, it is determined that the cell is not a sleeping cell, and if not, it is determined to be a sleeping cell;

And/or, when the result of comparing the detection parameter of the cell with the corresponding parameter threshold satisfies the condition of the sleeping cell, querying the configuration information of the cell, if it is determined according to the configuration information that the cell is manually reserved/manually forbidden, the state is determined. The cell is not a sleeping cell, and if not, it is determined to be a sleeping cell.
The method according to claim 5, wherein the cell data acquired by the network element centralized management system EMS is used to query the detection parameters of the to-be-detected cell in the hold duration before the detection, the alarm information of the cell, and the configuration information of the cell.
The method according to claim 1 or 2 or 3 or 4 or 6, wherein when the self-healing sleep cell is configured in the detection policy, after the detection of the sleeping cell is completed, the method further includes: querying the base station to which the sleeping cell belongs And generating a sleep cell self-healing file, and sending the file to the network element managing the base station to perform self-healing of the sleeping cell.
A self-organizing network system that includes:

The policy module is configured to: generate a detection strategy of the sleeping cell; the detection strategy includes: a retention duration, a detection parameter, and a parameter threshold;

The detecting module is configured to: determine a cell to be detected, and perform detection on the to-be-detected cell, and determine that the cell is a sleeping cell when the detection result of the to-be-detected cell meets the condition of the sleeping cell; wherein, detecting the to-be-detected cell The method includes: querying a detection parameter of the to-be-detected cell within a retention duration before the detection, and comparing the detection parameter with a corresponding parameter threshold.
The ad hoc network system according to claim 8, wherein

The detecting module is configured to: if the result of the comparison between the detection parameter of the cell and the corresponding parameter threshold meets the condition of the sleeping cell, further query the alarm information of the cell, and if the cell has a report of the returning alarm, determine that the cell is not a sleeping cell. If the cell does not report the return alarm, it is determined to be a sleeping cell; and/or, if the configuration information of the cell is queried, if it is determined according to the configuration information that the cell is manually reserved or manually disabled, it is determined that the cell is not a sleeping cell, if According to the configuration information, it is determined that the cell is neither a manual reservation state nor a manual prohibition access state, and is determined to be a sleeping cell.
The self-organizing network system according to claim 8 or 9, wherein the detecting module is further configured to: when the self-healing sleeping cell is configured in the detection policy, after the sleeping cell detection is completed, querying the sleeping cell The home base station generates a sleep cell self-healing file and sends the file And sent to the network element that manages the base station to perform self-healing of the sleeping cell.
A computer readable storage medium storing computer executable instructions for performing the method of any of claims 1-7.