WO2010085911A1 - Self-optimizing method and system for mobile communication network - Google Patents

Abstract

The invention discloses a self-optimizing method for the mobile communication network, and the method includes: analyzing the collected network operation and maintenance information according to the optimizing problem diagnosis rules, determining the problem diagnosis result of the mobile communication network; according to the self-optimizing decision rules, and network operation and maintenance information, deciding the optimizing command for the problem diagnosis result; executing the optimizing command and optimizing the mobile communication network. By establishing the rule database in which rules could be flexibly configured by users, the invention controls every step of self-optimization by rule, and enables the steps of analyzing data, determining and executing the optimizing operation to follow rules and to be a complete solution. The invention could maintain the network quality and performance with as less manual intervention as possible, and satisfy the operator's requirements for the low cost investment, high network quality and the improvement of the terminal user experience.

Description

 Method and system for self-optimization of mobile communication network

Technical field

 The present invention relates to the field of management of mobile communication networks, and in particular, to a method and system for self-optimization of a mobile communication network.

Background technique

 At present, self-organizing network technology is under study. Self-organizing network technology includes a network self-optimization technology. It is hoped that this technology can achieve the use of as little manual intervention as possible to maintain network quality and performance, and solve the problem of traditional network optimization methods. Shortcomings such as time, power consumption, high cost, post-mortem, limited data, and difficulty in recurring faults meet operators' needs for low-cost investment, high network quality, and improved end-user experience. Network self-optimization technology automatically monitors, analyzes and optimizes the quality and performance of the network, and automatically triggers optimization operations on problematic network nodes when necessary, which can significantly reduce manual intervention, automatically trigger re-optimization, reconfiguration, and reduce operating costs. .

 But so far, the industry has not yet formed a solution for network self-optimization.

Summary of the invention

 The technical problem to be solved by the present invention is to provide a method and system for self-optimization of a mobile communication network, which provides a solution for realizing self-optimization of a mobile communication network.

 In order to solve the above technical problem, a method for self-optimization of a mobile communication network according to the present invention includes: analyzing an operation and maintenance information of the collected network according to an optimization problem diagnosis rule, and determining a diagnosis result of the problem of the mobile communication network;

 According to the self-optimization decision rule and the network operation and maintenance information, an optimization command is determined for the problem diagnosis result;

 Perform optimization commands to optimize the mobile communication network.

Further, the optimization problem diagnosis rule includes the cause of the network problem generated by the mobile communication network, and analyzes the network operation and maintenance information for the cause of the network problem. When there is information in the network operation and maintenance information that matches the cause of the network problem, Determining the problem diagnosis result The cause of the problem;

 The self-optimizing decision rule includes a solution to the network problem generated by the mobile communication network, and the specific method for determining the optimization command is to determine a solution corresponding to the problem diagnosis result from the self-optimization decision rule, according to the network operation and maintenance information and solution Decision out the optimization command.

When the timing of the optimization diagnosis task is allowed to be performed, the operation of analyzing the network operation and maintenance information collected according to the optimization problem diagnosis rule is performed.

 Further, after the optimization command is executed, it is also judged whether the optimization of the mobile communication network is successful, and the specific determination method is: analyzing the network operation and maintenance information collected by the network, obtaining the diagnosis verification result, and the diagnosis verification result and the problem diagnosis The results are compared and if the network performance indicators are improved, the optimization is successful.

 Further, the self-optimizing decision rule includes: an object that allows and/or does not allow self-optimization and a self-optimization operation that is allowed and/or not allowed;

 After the optimization command is decided, it is also judged whether the optimized command is for the object that is allowed to be self-optimized, and whether the optimized command to be determined is to perform the self-optimization operation that is not allowed.

 Further, the optimization command is executed according to the self-optimization execution rule, and the self-optimization execution rule includes: the specific process of executing the optimization command according to the self-optimization execution rule is: determining whether the optimized operation command is an optimization command that is required to be confirmed by the user, if If yes, the user is prompted to select whether to execute the optimization command. When the user selects to execute the optimization command or the determined optimization command is not an optimization command that is required to be confirmed by the user, the optimization command is executed when the timing of the optimization command is allowed to be performed.

 Further, the optimization problem diagnosis rule, the self-optimization decision rule, and the self-optimization execution rule include a default type and a custom type, the custom type rule allows the user to add, modify, and delete; and allows the user to define an optimization problem diagnosis rule, Self-optimizing decision rules and self-optimizing execution rules run policies for enable control and access control.

Further, a self-optimizing system for a mobile communication network includes: a self-optimization rule base, an optimization information collection module, an optimization problem diagnosis module, a self-optimization decision module, and a self-optimization execution module; among them

 The self-optimizing rule base is used to store optimization problem diagnosis rules, self-optimization decision rules, and self-optimization execution rules;

 The optimization information collection module is used to collect network operation and maintenance information;

 The optimization problem diagnosis module is configured to obtain network operation and maintenance information from the optimization information collection module, obtain an optimization problem diagnosis rule from the self-optimization rule base, analyze the acquired network operation and maintenance information according to the optimization problem diagnosis rule, and determine the mobile communication network. The diagnosis result is sent to the self-optimization decision module;

 The self-optimization decision module is used to obtain self-optimization decision rules from the self-optimization rule base, obtain network operation and maintenance information from the optimization information collection module, and optimize the decision diagnosis result according to the self-optimization decision rule and the acquired network operation and maintenance information. a command to send an optimization command to the self-optimizing execution module;

 The self-optimizing execution module is used to execute optimization commands to optimize the mobile communication network.

 Further, the optimization problem diagnosis rule includes the cause of the network problem generated by the mobile communication network, and the optimization problem diagnosis module analyzes the network operation and maintenance information for the cause of the network problem, and the network operation and maintenance information is consistent with the cause of the network problem. When determining the problem, the diagnosis result is the cause of the network problem;

 The self-optimization decision rule includes a solution to the network problem generated by the mobile communication network, and the specific method for the self-optimization decision-making module to determine the optimization command is to determine a solution corresponding to the problem diagnosis result from the self-optimization decision rule, according to the network operation and maintenance Information and solutions make decisions about optimization.

The optimization problem diagnosis module performs an operation of analyzing the acquired network operation and maintenance information according to the optimization problem diagnosis rule when the timing at which the optimization diagnosis task is allowed to be performed is satisfied.

 Further, after the optimization execution module executes the optimization command, sending a verification optimization effect instruction to the optimization problem diagnosis module, and receiving the verification result;

After receiving the verification optimization effect command sent by the self-optimization execution module, the optimization problem diagnosis module analyzes the network operation and maintenance information, and obtains a diagnosis verification result, and the diagnosis verification result is obtained. Compared with the diagnosis result, the verification result is obtained. If the network performance indicator is improved, the optimization is successful; otherwise, the optimization fails, and the verification result is fed back to the automatic optimization execution module.

 Further, the self-optimizing decision rule includes: an object that allows and/or does not allow self-optimization and a self-optimization operation that is allowed and/or not allowed;

 After the optimization decision module decides the optimization command, it also judges whether the optimized command determined is an object that allows self-optimization, and whether the optimized command to be determined is to perform a self-optimization operation that is not allowed.

 Further, the self-optimizing execution module executes the optimization command according to the self-optimization execution rule, and the self-optimization execution rule includes: an optimization command that allows the user to confirm to execute and an opportunity for the optimization command to be allowed to execute; the self-optimization execution module performs optimization according to the self-optimization execution rule. The specific process of the command is: determining whether the optimized command determined by the decision is an optimization command that requires user confirmation to be executed, and if so, prompting the user to select whether to execute the optimization command, when the user selects to execute the optimization command or the optimized command is not When an optimization command that requires user confirmation to be executed is allowed, the optimization command is executed when the timing at which the optimization command is allowed to be executed is satisfied.

 Further, the system further includes a self-optimizing setting module;

 The self-optimization setting module is configured to configure an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule into the self-optimization rule base;

 Provide users with interfaces for adding, modifying, and deleting rules; and provide users with interfaces that define optimization problem diagnosis rules, self-optimization decision rules, and self-optimization execution rules to enable control and permission control of rules.

 In summary, the present invention controls the rules according to the rules by establishing a rule base in which the user can flexibly configure the rules, so that the steps of analyzing the data, determining the optimization operation, and performing the optimization operation have rules to follow. Be a complete solution to maintain network quality and performance with as little manual intervention as possible to meet operators' needs for low-cost investments, high network quality and improved end-user experience.

BRIEF abstract

1 is a flow chart of a method for self-optimization of a mobile communication network according to the present invention; 2 is a structural diagram of a system for self-optimization of a mobile communication network according to the present invention;

 FIG. 3 is a flowchart of a method for self-optimizing a handover problem of a mobile communication network according to an embodiment of the present invention. Preferred embodiment of the invention

 The specific embodiments of the present invention are described below with reference to the accompanying drawings:

 FIG. 1 is a schematic diagram of a method for implementing self-optimization of a mobile communication network according to the present invention, including the following steps:

101: configuring an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule in the self-optimization rule base;

 The optimization problem diagnosis rule is a rule for determining a network problem and generating a diagnosis result, including but not limited to: the cause of the network problem; and the timing at which the optimization diagnosis task is allowed to execute. For example, the timing at which optimization diagnostic tasks are allowed to execute is: Depending on an event trigger, timing trigger, etc., the timing of execution of different types of optimized diagnostic tasks varies.

 The self-optimizing decision rule is a rule for determining an optimization plan based on the diagnosis result, including but not limited to: a solution to a network problem caused by different reasons; an object allowing and/or disallowing self-optimization; allowing and/or disallowing Self-optimizing operations, etc.

 The self-optimizing execution rule is a rule for determining how to execute an optimization command, including but not limited to: an optimization command that requires user confirmation to be allowed to execute; an optimization command allows an execution timing, and different types of optimization commands are executed at different timings, for example : May allow for execution at any time or only during free time.

 In addition, the above optimization problem diagnosis rule, self-optimization decision rule, and self-optimization execution rule include a default type and a custom type, and the custom type rule allows the user to add, modify, and delete; the default type and the custom type rule Both allow users to view, and also allow users to define optimization problem diagnosis rules, self-optimization decision rules, and self-optimization execution rules to run policies for enable control and access control.

 102: continuously collect and update network operation and maintenance information from the mobile communication network;

Network operation and maintenance information includes: network running status information, configuration data, performance data, signaling information, and alarm information. Optimize the diagnosis task, analyze the network operation and maintenance information according to the optimization problem diagnosis rule, and determine the diagnosis result of the problem;

 104: According to the self-optimization decision rule, determine a solution for the problem diagnosis result, and make an optimization command according to the network operation and maintenance information and the solution;

 105: determining whether the optimized command that is decided can be automatically executed without manual participation, if it cannot be automatically executed, then jumping to step 112; otherwise, performing the next step;

 106: determining whether the optimized command that is decided is an optimization command that is not allowed, and if yes, jumping to step 112; otherwise, performing the next step;

 Here, it is necessary to judge whether the optimized command that is decided is an object that is allowed to perform self-optimization specified in the self-optimizing decision rule, and whether the optimized command to be determined is to perform an optimization operation that is not allowed.

 107: Determine, according to the self-optimization execution rule, whether the optimized command determined by the user needs to be confirmed by the user, if prompted, prompt the user to select whether to execute the optimization command, and when the user selects yes, perform the next step; when the user selects no, Go to step 112; if you do not need user confirmation to execute, perform the next step; the optimized command needs to be modified to back up the network parameters;

 109: executing an optimization command, modifying a network parameter of the mobile communication network, and optimizing the network; 110: determining whether the optimization command is successfully executed, and if the execution is unsuccessful, repeating the execution until the maximum number of executions is reached, and the process proceeds to step 112; , perform the next step;

 111: Determine whether the optimization is successful according to the network operation and maintenance information. If the optimization is unsuccessful, use the backed up network parameters to roll back the network to the state before optimization; otherwise, execute the next step;

 The method for judging whether the optimization is successful is: using the method for determining the diagnosis result of the problem in step 103, that is, analyzing the network operation and maintenance information, obtaining the diagnosis verification result, and the diagnosis verification result and the problem determined before the optimization of the mobile communication network. The diagnostic results are compared to verify whether the optimization is successful, and the verification result is obtained. If the network performance index is improved, the optimization is successful; otherwise, the optimization fails.

112: Form an optimization report for the executed operation and the generated result, and report it to the user, Bunch.

The invention also provides a self-optimizing system for a mobile communication network, comprising: a self-optimization rule base, a self-optimization setting module, an optimization information collection module, an optimization problem diagnosis module, a self-optimization decision module and a self-optimization execution module; wherein:

 The self-optimization rule base is used to store optimization problem diagnosis rules, self-optimization decision rules, and self-optimization execution rules.

 The self-optimization setting module is configured to configure an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule into the self-optimization rule base, and manage the optimization problem diagnosis rule, the self-optimization decision rule, and the self-optimization execution rule, and provide the above rule The setting interface, for example, provides the user with an interface for adding, modifying, and deleting rules; and provides an interface for the user to define an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule running policy to enable the above rule. Control and access control.

 The optimization information collection module is always in operation, and the network operation and maintenance information is collected and updated. The network operation and maintenance information includes: network operation status information, configuration data, performance data, signaling information, and alarm information. The optimization problem diagnosis module is used to trigger the optimization diagnosis task when the optimization diagnosis task in the optimization problem diagnosis rule is allowed to be executed, obtain the network operation and maintenance information from the optimization information collection module, and obtain the optimization problem diagnosis from the self-optimization rule base. The rule analyzes the network operation and maintenance information according to the optimization problem diagnosis rule, determines the problem diagnosis result, and sends the problem diagnosis result to the self-optimization decision module; after receiving the verification optimization effect instruction of the self-optimization execution module, the network operation and maintenance The information is analyzed, and the diagnostic verification result is obtained. The diagnostic verification result is compared with the diagnosis result determined before the optimization of the mobile communication network, and the verification is successful, and the verification result is obtained. If the network performance indicator is improved, the optimization is successful; otherwise, the optimization is successful; , the optimization fails, and the verification result is fed back to the automatic optimization execution module.

The self-optimization decision module is used to obtain the self-optimization decision rule from the self-optimization rule base, obtain the network operation and maintenance information from the optimization information collection module, determine the solution according to the self-optimization decision rule, and perform the operation according to the network diagnosis and maintenance. Information and solutions to determine optimization commands; Determining whether the optimized command can be automatically executed without manual participation. If it cannot be automatically executed, the self-optimizing execution module is notified to form an optimization report for the executed operation and the generated result, and report to the user; otherwise, the self-optimizing decision module Determining whether the optimization command belongs to an optimization command that is not allowed to be performed, and if so, forming an optimization report for the executed operation and the generated result, and reporting to the user; otherwise, notifying the self-optimization execution module to determine whether the optimized operation command needs the user confirm. When judging whether the optimization command belongs to an optimization command that is not allowed, it is necessary to determine whether the optimized control command is an object that allows self-optimization according to the self-optimization decision rule, and whether the optimized command to be performed is not allowed to be optimized. Operation, etc.

 The self-optimizing execution module is configured to obtain a self-optimizing execution rule from the self-optimization rule base, and after receiving the notification of the self-optimization decision module, determine whether the optimized control command needs to be confirmed by the user according to the self-optimization execution rule, if necessary Then, the user is prompted to select whether to execute the optimization command. When the user selects yes, when the timing of the optimization command specified by the self-optimization execution rule is met, the network parameter that needs to be modified is backed up by the optimized command; Modify the network parameters of the mobile communication network to optimize the network; when the user selects No, form an optimization report for the executed operation and the generated result, and report it to the user; if the user does not need to confirm, the self-optimization execution rule is satisfied. When the specified optimization command allows the timing of execution, the network parameters that need to be modified are backed up by the optimized command that is determined; the optimization command is executed, the network parameters of the mobile communication network are modified, and the network is optimized;

 The self-optimizing execution module also determines whether the optimization command is successfully executed. If the execution is unsuccessful, the execution is repeated until the maximum number of executions is reached, and an optimized report is generated for the executed operation and the generated result, and reported to the user; otherwise, the optimization problem is The diagnostic module sends a verification optimization effect instruction and receives the verification result. If the verification result is that the optimization is unsuccessful, the network parameter of the backup is used to roll back the network to the state before the optimization; otherwise, the executed operation and the generated result are formed. Optimize the report and report it to the user.

The method and system of the present invention are described in detail below by taking self-optimization of the handover problem of the mobile communication network as an example:

 Figure 3 shows the self-optimization of the switching problem, including:

301 : Optimize problem diagnosis rules, self-optimization decision rules, and self-optimization through self-optimization settings module The execution rule is configured into the self-optimization rule base;

 In this embodiment, it is assumed that the optimization problem diagnosis rule includes: switching the timing of the optimization diagnosis task allowed to execute and the cause of the handover problem.

There is now an event trigger with any switching success rate below 80%. Any of the above switching success rates includes: same frequency relay switching success rate (cell switching out), same frequency relay switching success rate (cell switching in), different frequency relay switching success rate (cell switching out), different frequency relay switching success rate (Cell handover), same-frequency hard handover success rate (cell handover), same-frequency hard handover success rate (cell handover), same-frequency hard handover success rate (inter-RNC handover), different-frequency hard handover success rate ( Cell handover) and inter-frequency hard handover success rate (cell handover).

 It is assumed that the reasons for the excessive handover failure rate defined by the optimization problem diagnosis rule in this embodiment include: (1) hardware failure causes handover abnormality; (2) target neighbor cell load is too high; (3) wireless parameter setting is unreasonable leading to handover Not waiting in time.

 Self-optimizing decision rules include: solutions to switching problems that arise from different causes in the problem diagnosis rule; objects that are allowed and/or not allowed to self-optimize; optimization operations that are allowed and/or disallowed.

 It is assumed that the solutions to various handover problems defined in the self-optimization decision rule include: (1) replacing the system hardware equipment when the hardware failure causes the handover abnormality; (2) the load control threshold of the target cell is too high when the target neighboring cell load is too high (3) If the wireless parameter setting is unreasonable, the switching is not timely, and the corresponding switching parameters are adjusted.

 The object that allows self-optimization is a cell a~s that only allows optimization of slice A.

 The optimization operation that is not allowed is to adjust the neighbor cell list of the cell g.

 The self-optimizing execution rules include: The optimization command that requires user confirmation during optimization to allow execution is the modification parameter "switching time delay"; the timing of the optimization command allows execution to be performed at any time.

 302: The optimization information collection module is always running, collecting network operation and maintenance information related to the optimization handover problem, including: network operation status information, configuration data, performance data, signaling information, and alarm information, for example, and optimizing switching problems. Related performance data may include the above switching success rate and the like;

303: The optimization problem diagnosis module obtains the switching success rate from the optimization information collection module, and determines the slice. Whether there is a handover success rate lower than 80% in the area A, if it exists, the next step is performed; otherwise, it ends;

 The above switching success rate is the busy time switching success rate of the zone A-week.

 304: The optimization problem diagnosis module triggers the switching problem optimization diagnosis task, and obtains the network operation and maintenance information related to the optimization switching problem from the optimization information collection module, according to the reason that the switching failure rate is too high as defined in the optimization problem diagnosis rule, Optimize the network operation and maintenance information related to the handover problem for analysis, and determine the diagnosis result of the handover problem;

 The optimization problem diagnosis module knows that the cause of the switch failure rate is too high, including the hardware failure causing the handover abnormality, and analyzing whether the network operation and maintenance information related to the optimization handover problem includes data related to the cause, for example, hardware alarm information, If it is included, it is determined that the switching problem diagnosis result is a hardware failure causing the switching abnormality.

 The optimization problem diagnosis module knows that the cause of the excessive handover failure rate is that the target neighboring cell load is too high, and the downlink traffic load value of the target neighboring cell included in the network operation and maintenance information related to the optimization handover problem is higher than 90%. If it is higher, it is determined that the handover problem diagnosis result is that the target neighboring cell load is too high.

 The optimization problem diagnosis module knows that the cause of the excessive handover failure rate is that the wireless parameter setting is unreasonable, and the value of the cut-in UE penalty time timer included in the network operation and maintenance information related to the optimization handover problem is greater than 5000, if it is greater than , it is determined that the switching problem diagnosis result is unreasonable for the wireless parameter setting.

 In this embodiment, it is assumed that the determined handover problem diagnosis result is that the radio parameter setting of the cell a is unreasonable, the same-frequency hard handover success rate (cell handover out) is 60%, and the same-frequency hard handover success rate (cell handover entry) is 57%. .

 305: The optimization problem diagnosis module sends the switching problem diagnosis result to the self-optimization decision module, and the self-optimization decision module obtains the network operation and maintenance information related to the optimization switching problem from the optimization information collection module, and according to the self-optimization decision rule, the problem diagnosis result is Determining the solution, and deciding the optimization command according to the network operation and maintenance information and the solution related to the optimized handover problem;

The solution determined for the handover problem diagnosis result in this embodiment is to adjust the corresponding handover parameter of the cell a, and according to the handover parameter of the cell a, determine an optimization command that helps improve the handover success rate. To adjust cell a, the "cut-in UE penalty time timer" value is x, the "switching time delay" value is y, and the "PCCPCH RSCP switching hysteresis" value is z.

 306: The self-optimization decision module determines whether the optimized command that is decided can be automatically executed without manual participation. If the automatic execution cannot be performed (for example, the hardware device fails, it needs to be replaced), then the process goes to step 318; otherwise, the next step is performed;

 307: The self-optimization decision module determines whether the optimized command that is determined is an optimization command that is not allowed to be performed, and if yes, jumps to step 318; otherwise, performs the next step;

 The self-optimization decision-making module needs to judge whether the optimization command derived from the decision is an object that allows for self-optimization as specified in the self-optimization decision rule, and whether the optimized command to be determined is to perform an optimization operation that is not allowed.

 In this embodiment, if it is determined that the optimized command is for the cell a~s of the area A, and the optimization command does not need to adjust the neighbor cell list of the cell g, the optimized command allowed by the optimized command is allowed; otherwise, Optimization commands that are not allowed.

 308: The self-optimization execution module determines whether the parameter to be modified by the optimization command is locked, and if it is locked, jumps to step 318; otherwise, performs the next step;

 309: The self-optimization execution module determines whether the optimization command needs to be confirmed by the user according to the self-optimization execution rule, and if the user confirmation is not required, the process proceeds to step 311; otherwise, the next step is performed;

 In this embodiment, if it is determined that the optimization command includes an optimization command for modifying the parameter "switching time delay", the user is prompted to confirm whether to execute, and the remaining optimization commands that do not require user confirmation are not allowed to be executed.

 310: The self-optimization execution module prompts the user to select whether the optimization command can be executed, waits for the user to confirm, and calculates the timeout waiting time. If the waiting timeout has not been confirmed by the user or the user does not agree to execute, the optimization command is not executed, and the process proceeds to step 318; If the user agrees to execute, the next step is performed; 311: the self-optimization execution module determines, according to the self-optimization execution rule, whether the timing of the optimization command is allowed to be executed, and if the timing of the optimization command is allowed to be executed, the next step is performed;

In this embodiment, the self-optimization execution module executes the decision-making optimization command in real time according to the rule that is allowed to be executed at any time according to the optimization command defined in the self-optimization execution rule. 312: The self-optimizing execution module backup optimization command needs to modify the network parameters, execute the optimization command, modify the network parameters of the mobile communication network, optimize the network, and lock the modified network parameters, and do not allow other operations to be modified;

 In this embodiment, the value of the "cut-in UE penalty time timer" for adjusting cell a is x, the "switching time delay" value is y, and the "PCCPCH RSCP switching hysteresis amount" is z.

 313: The self-optimizing execution module determines whether the optimization command is successfully executed. If the execution is unsuccessful, the execution is repeated until the maximum number of executions is reached, and the process proceeds to step 318; otherwise, the next step is performed;

314: The automatic optimization execution module triggers the optimization problem diagnosis module to verify the optimization effect, and optimizes the problem. The diagnosis module uses the operation of step 303 304 to obtain the diagnosis verification result;

 Assume that the diagnostic verification result is that the same-frequency hard handover success rate (cell handover) is 65%, and the same-frequency hard handover success rate (cell handover) is 67%.

 315: The optimization problem diagnosis module compares the problem diagnosis result and the diagnosis verification result, and determines whether the optimization is successful. If the optimization is unsuccessful, step 316 is performed; otherwise, step 317 is performed;

 The diagnostic verification result and the problem diagnosis result have the same-frequency hard handover success rate (cell handover out) of 60%, and the same-frequency hard handover success rate (cell handover entry) is 57%, and the handover success rate is improved, and the optimization succeeds.

 316: The automatic optimization execution module uses the backed up network parameters to roll back the network to the state before optimization;

 Since the network parameters have been locked after modifying the network parameters, this rollback will not cause data confusion.

 317: The self-optimizing execution module removes the lock on the modified parameter;

 318: The automatic optimization execution module forms an optimization report for the executed content and the generated result, and the optimization ends.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

Claim  A method for self-optimization of a mobile communication network, characterized in that it comprises:  The network operation and maintenance information collected by the network is analyzed according to the optimization problem diagnosis rule, and the problem diagnosis result of the mobile communication network is determined;  Determining an optimization command for the problem diagnosis result according to the self-optimization decision rule and the network operation and maintenance information;  Executing the optimization command to optimize the mobile communication network.  2. The method of claim 1 wherein:  The optimization problem diagnosis rule includes a cause of the network problem generated by the mobile communication network, and when there is information corresponding to the cause of the network problem in the network operation and maintenance information, determining that the problem diagnosis result is the generated network problem s reason;  The self-optimizing decision rule includes a solution to the network problem generated by the mobile communication network, and the specific method for determining the optimization command is: determining, from the self-optimizing decision rule, corresponding solution to the problem diagnosis result The solution determines an optimization command according to the network operation and maintenance information and the solution.  3. The method of claim 1 or 2, wherein The operation of analyzing the collected network operation and maintenance information according to the optimization problem diagnosis rule is performed when the timing at which the optimization diagnosis task is allowed to be performed is satisfied.  4. The method of claim 1 or 2, wherein  After the optimization command is executed, it is further determined whether the optimization of the mobile communication network is successful. The specific determination method is: analyzing the network operation and maintenance information collected by the network, and obtaining a diagnosis verification result, and the diagnosis verification result is The problem diagnosis results are compared, and if the network performance indicator is improved, the optimization is successful. 5. The method of claim 1 or 2, wherein The self-optimizing decision rule includes: an object that allows and/or does not allow self-optimization, and an allowable sum / or self-optimization operations that are not allowed; self-optimized objects, and whether the decision-making optimization commands are to perform self-optimization operations that are not allowed.  6. The method of claim 1 wherein:  Executing the optimization command according to the self-optimization execution rule, the self-optimization execution rule includes: the specific process of executing the optimization command according to the self-optimization execution rule is: determining whether the optimized control command is required to be confirmed by the user Optimizing the command, if yes, prompting the user to select whether to execute the optimization command, when the user selects to execute the optimization command or the determined optimization command is not an optimization command that is required to be confirmed by the user, the optimization command is allowed to execute At the timing of the execution, the optimization command is executed. 7. The method of claim 1 wherein:  The optimization problem diagnosis rule, the self-optimization decision rule, and the self-optimization execution rule include a default type and a custom type, the custom type rule allows the user to add, modify, and delete; and allows the user to define the optimization problem. Diagnostic rules, self-optimizing decision rules, and self-optimizing execution rules run policies for enable control and access control.  A self-optimizing system for a mobile communication network, comprising: a self-optimization rule base, an optimization information collection module, an optimization problem diagnosis module, a self-optimization decision module, and a self-optimization execution module; wherein  The self-optimizing rule base is configured to store an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule;  The optimization information collection module is configured to collect network operation and maintenance information; The optimization problem diagnosis module is configured to acquire the network operation and maintenance information from the optimization information collection module, obtain the optimization problem diagnosis rule from the self-optimization rule database, and perform operation and maintenance on the acquired network according to the optimization problem diagnosis rule. The information is analyzed, and the problem diagnosis result of the mobile communication network is determined, and the problem diagnosis result is sent to the self-optimization decision module; The self-optimization decision module is configured to obtain the self-optimization decision rule from the self-optimization rule base, obtain the network operation and maintenance information from the optimization information collection module, according to the self-optimization decision rule and the acquired The network runs maintenance information, and determines an optimization command for the problem diagnosis result, and sends the optimization command to the self-optimization execution module;  The self-optimizing execution module is configured to execute the optimization command to optimize the mobile communication network.  9. The system of claim 8 wherein:  The optimization problem diagnosis rule includes a reason for the network communication problem generated by the mobile communication network, and analyzes the problem, and when the network operation and maintenance information has information corresponding to the cause of the network problem, determining the problem diagnosis. The result is the cause of the network problem;  The self-optimizing decision rule includes a solution to the network problem generated by the mobile communication network, and the specific method for the self-optimization decision module to determine the optimization command is: determining the problem diagnosis from the self-optimization decision rule As a result, the corresponding solution determines an optimization command according to the network operation and maintenance information and the solution.  10. The system of claim 8 wherein: The optimization problem diagnosis module performs when the timing of the optimization diagnosis task is allowed to be performed 11. The system of claim 8 wherein:  After executing the optimization command, the self-optimization execution module sends a verification optimization effect instruction to the optimization problem diagnosis module, and receives the verification result;  After receiving the verification optimization effect instruction sent by the self-optimization execution module, the optimization problem diagnosis module analyzes network operation and maintenance information, obtains a diagnosis verification result, and compares the diagnosis verification result with the problem diagnosis result. The verification result is obtained. If the network performance indicator is improved, the optimization is successful; otherwise, the optimization fails, and the verification result is fed back to the automatic optimization execution module. 12. The system of claim 8 wherein: The self-optimizing decision rules include: allowing and/or disallowing self-optimizing objects and self-optimizing operations that are allowed and/or not allowed;  After the self-optimizing decision module determines the optimization command, it also determines whether the determined optimization command is for an object that allows self-optimization, and whether the optimized command that is determined is to perform a self-optimization operation that is not allowed.  13. The system of claim 8 wherein:  The self-optimizing execution module executes the optimization command according to the self-optimization execution rule, where the self-optimization execution rule includes: an optimization command that allows the user to confirm to execute and an opportunity for the optimization command to be allowed to execute;  The specific process of the self-optimization execution module executing the optimization command according to the self-optimization execution rule is: determining whether the optimized control command is an optimization command that is required to be confirmed by the user, and if yes, prompting the user to select whether to execute the optimization command When the user selects to execute the optimization command or the determined optimization command is not an optimization command that is required to be confirmed by the user, the optimization command is executed when the timing at which the optimization command is allowed to be performed is satisfied.  14. The system of claim 8 wherein the system further comprises a self-optimizing settings module;  The self-optimization setting module is configured to configure an optimization problem diagnosis rule, a self-optimization decision rule, and a self-optimization execution rule into the self-optimization rule base;  Providing an interface for adding, modifying, and deleting rules to the user; and providing an interface for the user to define the optimization problem diagnosis rule, the self-optimization decision rule, and the self-optimization execution rule running policy, to enable control and permission on the rule control.