CN103607728A - Method, device and system for base station power automatic optimization - Google Patents

Abstract

The embodiment of the present invention discloses a base station power automatic optimization method, device and system, wherein the implementation of the method includes: monitoring the network performance index, if the standard is not met, sending a prompt message and waiting to confirm whether it is caused by a non-power parameter optimization fault If the performance index of the non-power parameter optimization fault is not up to standard, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated, obtain the current load of the base station to be optimized and the information of neighboring cells; according to the Perform power optimization on the base station to be optimized based on the current load and the neighboring cell information. The above methods can realize automatic power optimization, can reduce the impact of manual participation, and improve the efficiency and accuracy of power optimization.

Description

A base station power automatic optimization method, device and system

technical field

The present invention relates to the field of communication technology, in particular to a base station power automatic optimization method, device and system.

Background technique

Wireless network optimization is a task that needs to be performed periodically during wireless communication operations. Wireless network optimization has the characteristics of long cycle and high cost. From the observation of the wireless network operation market, more and more operators have put forward the need for easy maintenance of base stations to reduce maintenance costs and skill requirements for network optimization engineers.

The wireless network optimization commonly used at present can be: use network optimization tools to optimize power, and there are several commercial network optimization tools available for selection. The basic process of the program is as follows:

1. The on-site engineer measures all the sites in the network, obtains the site parameter information, and summarizes it to the network optimization engineer. The work parameter list can be provided by the operator's network maintenance personnel.

2. The network optimization engineer uses the industrial parameter information (some network optimization tools need to provide drive test data/MR (Measure report, measurement report) for special parameters) and imports it into the network optimization tool for optimization.

3. The network optimization engineer performs optimization as required and outputs optimized parameters.

4. Manually send optimization parameters to network elements through OSS (Operation Support system) or select timing to perform optimization, and at the same time, the network optimization tool outputs an optimization report.

The above solutions require manual collection of standard industrial parameter information. Since manual collection cannot synchronize changes in industrial parameter information in time, there are errors in parameter measurement, resulting in low accuracy of power parameter optimization. In addition, the above solutions require manual methods or even manual drive tests, which are only suitable for optimization with detailed industrial parameter information. Therefore, the above network optimization solution needs to be implemented manually, which has low efficiency and inaccurate power parameter optimization.

Contents of the invention

Embodiments of the present invention provide a base station power automatic optimization method, device and system for realizing automatic base station power optimization.

On the one hand, an embodiment of the present invention provides a method for automatically optimizing base station power, including:

Monitor the network performance index, if it fails to meet the standard, send a prompt message and wait to confirm whether the performance index is not up to standard due to non-power parameter optimization failure;

If the performance index caused by the non-power parameter optimization fault is not up to standard, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated, then obtain the current load and neighbor cell information of the base station to be optimized;

Performing power optimization on the base station to be optimized according to the current load and the neighboring cell information.

In combination with an implementation manner on the one hand, in a first possible implementation manner, obtaining the current load of the base station to be optimized and information on neighboring cells includes:

After the performance index is still not up to standard after non-power parameter optimization troubleshooting, an optimization command is sent to the base station to be optimized, instructing the base station to be optimized to report the current load and neighbor cell information;

Receive the current load and neighbor cell information of the base station to be optimized.

With reference to the implementation manner in one aspect, in a second possible implementation manner, the non-power parameter optimization fault includes: a hardware fault and/or a configuration error.

In combination with one aspect, the first or the second possible implementation manner, in the third possible implementation manner, after performing power optimization on the base station to be optimized, further include:

Determine whether the network performance index is up to the standard, and if it is still not up to the standard, roll back the modified power parameters to before optimization.

With reference to one aspect, the first or the second possible implementation manner, in a fourth possible implementation manner, the neighbor cell information includes: a globally unique identifier of a cell, a frequency point, and a bandwidth; and, reference signal received power and /or reference signal reception quality.

With reference to the fourth possible implementation manner, in a fifth possible implementation manner, performing power optimization on the base station to be optimized according to the current load and the neighboring cell information includes:

If the current power of the base station to be optimized is less than the first power threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the first level threshold is less than 0 to the total number of neighboring cells is greater than the first ratio threshold; or, If the current power is less than the first load threshold, and the ratio of the number of the difference between the reference signal received power of the neighboring cell and the second level threshold is less than 0 to the total number of the neighboring cells is greater than the second ratio threshold, then increase the to-be-optimized The power of the base station;

If the current power is greater than the second power threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the third level threshold is less than 0 to the total number of neighboring cells is greater than the third ratio threshold; or, if the current The power is less than the second load threshold, and the ratio of the number of neighbor cells whose difference between the reference signal received power and the fourth level threshold is less than 0 to the total number of neighbor cells is greater than the fourth ratio threshold, then reduce the power of the base station to be optimized;

The first power threshold is less than the second power threshold, and the first power threshold is less than the maximum power of the base station to be optimized;

Both the third level threshold and the fourth level threshold are greater than the first level threshold and the second level threshold.

The second aspect of the embodiment of the present invention provides a device for automatically optimizing base station power, including:

An indicator monitoring unit, configured to monitor network performance indicators;

The prompt unit is used to send a prompt message and wait to confirm whether the performance index is not up to standard due to non-power parameter optimization failure if the indicator monitoring unit fails to meet the standard during monitoring;

The information acquisition unit is used to obtain the current load and neighboring cell information of the base station to be optimized if the performance index is not up to standard caused by the non-power parameter optimization fault, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated;

An optimization unit, configured to perform power optimization on the base station to be optimized according to the current load and the neighboring cell information acquired by the information acquisition unit.

Combining the implementation methods of the two aspects, in the first possible implementation method, the information acquisition unit is specifically configured to send an optimization instruction to the base station to be optimized after the performance index is still not up to standard after the non-power parameter optimization troubleshooting, indicating The base station to be optimized reports the current load and neighbor cell information; receives the current load and neighbor cell information of the base station to be optimized.

In combination with the implementation manners of the two aspects, in a second possible implementation manner, the prompting unit is specifically configured to confirm whether the performance index is not up to standard due to a hardware failure and/or a configuration error.

In combination with the second aspect, the first or the second possible implementation manner, in a third possible implementation manner, the device further includes:

The fallback control unit is configured to roll back the modified power parameters to before optimization after the index monitoring unit determines that the network performance index is still not up to standard after power optimization is performed.

In combination with the second aspect, the first or the second possible implementation manner, in a fourth possible implementation manner, the information obtaining unit is specifically used to obtain the neighboring cell information including: a global unique identifier of a cell, a frequency point, bandwidth; and, reference signal received power and/or reference signal received quality.

With reference to the fourth possible implementation, in the fifth possible implementation, the optimization unit is specifically configured to: if the current power of the base station to be optimized is less than the first power threshold, and the reference signal received power of the neighboring cell is equal to the first power threshold The ratio of the number of the number of the difference of a level threshold less than 0 to the total number of adjacent cells is greater than the first ratio threshold; or, if the current power is less than the first load threshold, and the reference signal received power of the adjacent cell is equal to the second level threshold The ratio of the number of numbers whose difference is less than 0 to the total number of adjacent cells is greater than the second ratio threshold, then the power of the base station to be optimized is increased; if the current power is greater than the second power threshold, and the reference signal received power of the adjacent cell is the same as the first The ratio of the number of numbers whose difference between the three-level thresholds is less than 0 to the total number of neighboring cells is greater than the third proportional threshold; or, if the current power is less than the second load threshold, and the reference signal received power of the neighboring cells is equal to the fourth level threshold The ratio of the number of numbers whose difference is less than 0 to the total number of neighboring cells is greater than the fourth ratio threshold, then reduce the power of the base station to be optimized; the first power threshold is less than the second power threshold, and the first power threshold is less than the base station to be optimized Maximum power; the third level threshold and the fourth level threshold are both greater than the first level threshold and the second level threshold.

The third aspect of the embodiment of the present invention provides a system for automatic optimization of base station power, including: a base station and a network element management entity that manages the base station, wherein the network element management entity is any one of the devices provided in the two aspects .

The fourth aspect of the embodiment of the present invention also provides a network element management entity, including: a receiver, a transmitter, a processor, and a memory;

Wherein the processor is used to monitor the network performance index, if it fails to meet the standard, then send a prompt message and wait for confirmation whether the performance index is not up to standard caused by a non-power parameter optimization fault; The index is not up to standard, and the performance index is still not up to standard after non-power parameter optimization troubleshooting, then obtain the current load and neighbor cell information of the base station to be optimized; perform power optimization on the base station to be optimized according to the current load and the neighbor cell information. optimization.

Combining the implementation methods of the four aspects, in the first possible implementation method, the processor is specifically configured to send an optimization instruction to the base station to be optimized after the performance index is still not up to standard after the non-power parameter optimization troubleshooting is performed, instructing the base station to be optimized The optimized base station reports the current load and neighbor cell information; receives the current load and neighbor cell information of the base station to be optimized.

In combination with the implementation manners of the four aspects, in a second possible implementation manner, the processor is specifically configured to confirm whether the performance index fails to meet the standard due to a hardware failure and/or a configuration error.

In combination with the four aspects, the first or the second possible implementation manner, in the third possible implementation manner, the processor is further configured to determine whether the network performance index is up to the standard after performing power optimization, and if it is still not up to the standard , the modified power parameters will fall back to before optimization.

In combination with the fourth aspect, the first or the second possible implementation manner, in a fourth possible implementation manner, the processor is specifically used to obtain the neighbor cell information including: a global unique identifier of a cell, a frequency point , bandwidth; and, reference signal received power and/or reference signal received quality.

With reference to the fourth possible implementation manner, in a fifth possible implementation manner, the processor, specifically configured to perform power optimization on the base station to be optimized according to the current load and the neighboring cell information includes: if The current power of the base station to be optimized is less than the first power threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the first level threshold is less than 0 to the total number of neighboring cells is greater than the first ratio threshold; or, if The current power is less than the first load threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the second level threshold is less than 0 to the total number of neighboring cells is greater than the second ratio threshold, then upgrade the base station to be optimized power; if the current power is greater than the second power threshold, and the ratio of the number of numbers whose difference between the reference signal received power of the adjacent cell and the third level threshold is less than 0 to the total number of adjacent cells is greater than the third proportional threshold; or, if The current power is less than the second load threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the fourth level threshold is less than 0 to the total number of neighboring cells is greater than the fourth ratio threshold, then reduce the base station to be optimized power; the first power threshold is less than the second power threshold, and the first power threshold is less than the maximum power of the base station to be optimized; the third level threshold and the fourth level threshold are greater than the first level threshold and the second level threshold.

It can be seen from the above technical solutions that the embodiments of the present invention have the following advantages: monitor the network performance indicators, and when it is determined that the network performance indicators are not up to standard due to power parameter optimization, the current load of the base station to be optimized and the information of neighboring cells , to perform power optimization, which can realize automatic power optimization, reduce the impact of manual participation, and improve the efficiency and accuracy of power optimization.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

Fig. 1 is a schematic flow chart of the method of the embodiment of the present invention;

Fig. 2 is a schematic diagram of the structure of the main module unit of the base station according to the embodiment of the present invention

Fig. 3 is a schematic diagram of the main module unit structure of the operation support system of the embodiment of the present invention

Fig. 4 is a schematic flow chart of the method of the embodiment of the present invention;

FIG. 5 is a schematic diagram of an optimized state transition according to an embodiment of the present invention;

Fig. 6 is a schematic structural diagram of a device according to an embodiment of the present invention;

Fig. 7 is a schematic diagram of the device structure of the embodiment of the present invention;

Fig. 8 is a schematic diagram of the system structure of the embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a network element management entity according to an embodiment of the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Embodiments of the present invention will provide a solution for power optimization of a base station in a wireless network, and the solution can be especially applied in a small base station environment. Due to the flexibility of small base station deployment, the diversity of deployment environments, and the large amount of deployment, traditional offline parameter optimization is only suitable for optimization with detailed industrial parameter information. Therefore, application scenarios such as small base stations need to adopt unique optimization methods. Embodiments of the present invention propose a method for automatically optimizing base station power, as shown in FIG. 1 , including:

101: Monitor the network performance index, if it fails to meet the standard, send a prompt message and wait to confirm whether the performance index is not up to standard due to non-power parameter optimization failure;

The network performance indicators can be as follows: access success rate th1, call drop rate th2, handover success rate th3, E-RAB (Evolution Radio Access Bearer, evolved radio access bearer) establishment success rate th4. The above network performance indicators are not an exhaustive list of network performance indicators, and should not be construed as limiting the embodiments of the present invention.

102: If the performance index is not up to standard due to non-power parameter optimization fault, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated, obtain the current load and neighboring cell information of the base station to be optimized;

The embodiment of the present invention provides that the acquisition of the current load and neighboring cell information of the base station to be optimized in the above 102 is specifically as follows: the above-mentioned acquisition of the current load of the base station to be optimized and the neighboring cell information includes:

After the performance index is still not up to standard after non-power parameter optimization troubleshooting, an optimization command is sent to the base station to be optimized, instructing the base station to be optimized to report the current load and neighbor cell information;

Receive the current load and neighbor cell information of the base station to be optimized.

Obtaining the current load and neighboring cell information of the base station to be optimized in the above step 102 can also adopt other schemes, for example: the base station actively and periodically reports the current load and neighboring cell information, and the executive body of step 102 determines the performance of the non-power parameter optimization after troubleshooting. This information was obtained only after the indicators were still not met.

The embodiment of the present invention also provides optional options for non-power parameter optimization faults, specifically as follows: the foregoing non-power parameter optimization faults include: hardware faults and/or configuration errors.

It should be noted that there are many possible non-power parameter optimization faults, all of which may lead to substandard network performance indicators, which can be confirmed by network maintenance engineers. The above examples should not be construed as limiting the embodiments of the present invention.

The embodiment of the present invention also provides optional items of neighbor cell information, specifically as follows: the above neighbor cell information includes: cell global unique identifier, frequency point, bandwidth; and reference signal received power and/or reference signal received quality. Neighboring cell information is information used for optimization. In addition to determining the unique information of neighboring cells, it can also contain any other information used to determine whether optimization is required. This embodiment of the present invention cannot exhaustively. The above preferred implementation scheme should not be understood It is the only limitation to the embodiments of the present invention.

103: Perform power optimization on the base station to be optimized according to the current load and the neighboring cell information.

In the above embodiments, the network performance indicators are monitored, and when it is determined that the network performance indicators are not up to standard due to power parameter optimization, power optimization is performed based on the current load of the base station to be optimized and the information of neighboring cells, and automatic power optimization can be realized. , can reduce the impact of manual participation, and improve the efficiency and accuracy of power optimization.

The embodiment of the present invention also provides a fallback implementation solution, specifically as follows: after performing power optimization on the base station to be optimized, it also includes:

Determine whether the network performance index is up to the standard, and if it is still not up to the standard, roll back the modified power parameters to before optimization.

The embodiment of the present invention also provides an optional implementation scheme for performing power optimization on the base station to be optimized based on the current load and the adjacent cell information, specifically as follows: perform power optimization on the base station to be optimized according to the current load and the adjacent cell information. Optimization includes:

If the current power of the base station to be optimized is less than the first power threshold, and the ratio of the number of the difference between the reference signal received power of the adjacent cell and the first level threshold to the total number of adjacent cells is greater than the first ratio threshold; or, if The above-mentioned current power is less than the first load threshold, and the ratio of the number of the difference between the reference signal received power of the adjacent cell and the second level threshold is less than 0 to the total number of adjacent cells is greater than the second ratio threshold, then the power of the base station to be optimized is increased ;

If the above-mentioned current power is greater than the second power threshold, and the ratio of the number of numbers whose difference between the reference signal received power of the adjacent cell and the third level threshold is less than 0 to the total number of adjacent cells is greater than the third ratio threshold; or, if the above-mentioned current power is less than The second load threshold, and the ratio of the number of the difference between the reference signal received power of the neighboring cell and the fourth level threshold less than 0 to the total number of the neighboring cells is greater than the fourth proportional threshold, then reduce the power of the above-mentioned base station to be optimized; the above-mentioned first The power threshold is smaller than the second power threshold, and the first power threshold is smaller than the maximum power of the base station to be optimized; the third level threshold and the fourth level threshold are both greater than the first level threshold and the second level threshold.

The following embodiments will describe the embodiments of the present invention in more detail by using a small base station as an application scenario, as follows:

The technical problem to be solved by the embodiments of the present invention:

Solve the power parameter optimization problem in the operation and maintenance process of small base stations, without using industrial parameter information (including drive test/MR data), realize online parameter optimization and real-time configuration to the base station, improve power parameter optimization efficiency, and bring new benefits to daily network operation and maintenance. To facilitate and reduce optimization costs.

The technical solutions of the embodiments of the present invention include the following aspects:

1. Example application scenarios:

The embodiment of the present invention can be applied to GSM (Global System for Mobilecommunications, Global System for Mobile Communications)/UMTS (Universal MobileTelecommunications System, Universal Mobile Communications System)/TDD-LTE (Time Division Duplex Long Term Evolution, Time Division Duplex Long Term Evolution)/FDD -LTE (Frequency Division Duplex Long Term Evolution, Frequency Division Duplex Long Term Evolution) and other communication systems.

The application scenarios are: base station adjustment of the wireless network, expansion stage of the wireless network, parameter optimization of the wireless network relocation scenario, etc.

2. Implementation Entity Description:

The implementation of the embodiment of the present invention may involve a base station, a Sniffer (sniffer) receiver, and an OSS (Operation Support system, operation support system) operating system.

Base station: As the bearer entity of the mobile communication system, it performs signaling interaction with the OSS operating system and is responsible for signal processing of the wireless access network.

Sniffer receiver: It can be integrated into the base station, and is responsible for scanning the signals of neighboring cells around the base station where it is located, and obtaining the surrounding wireless communication environment information.

OSS operating system: As a network element management entity device, it is responsible for the daily management and maintenance of network elements, and has the function of optimizing parameters by obtaining the information of neighboring cells around the base station, and outputting optimization reports.

3. Implementation entity module description:

A. The base station can include: a scanning module and a communication module. As shown in FIG. 2 , it is a schematic structural diagram of a main module unit of a base station.

Wherein, the scanning module is used for scanning to obtain information of neighboring cells around the base station where it is located.

The communication module is used for processing basic communication signals of the base station.

The base station may also include a scanning message processing module: used to control the scanning module to perform scanning, and process neighboring cell information obtained through scanning. This module can also be included in the OSS operating system.

B. OSS operating system includes: parameter optimization module and management and maintenance module. As shown in Figure 3, it is a schematic diagram of the structure of the main module unit of the OSS.

Among them, the input of the parameter optimization module is neighbor cell information, and the output is optimization data and optimization report.

The management and maintenance module implements the interface input and output parameter management included in OSS, optimizes information collection and optimizes parameter delivery.

4. Input and output:

Input 1: Input on the OSS interface: Optimize startup mode: automatic/manual.

Input 2: Input on the OSS interface: GSM/UMTS/LTE cell signal scanning frequency;

Input 3: Input on the OSS interface: KPI (key performance indication, key performance indicator) monitoring indicators are calculated by hour, day, week, and month Access Bearer (evolved wireless access bearer) establishment success rate threshold. Optimize start mode: automatic/time, manual.

Output 1: Power parameters of the optimized eNodeB (base station).

Output 2: Optimized start and end times for each optimized base station. Comparison of the power parameters of the neighboring cells configured by the base station before and after optimization.

Compared with the technical solution of the background, the present invention may also involve the improvement of the software system, and optimize the power parameters in a unique way.

The present invention mainly relates to the change of the following several schemes in embodiment:

1. Use the neighbor cell information reported by the base station, such as: CGI (Cell global index, cell global unique identifier), frequency point, bandwidth, RSRP (Reference Signal Receiving Power, reference signal receiving power), RSRQ (Reference Signal Receiving Quality, reference Signal reception quality) and other neighboring cell information for automatic optimization of power parameters.

2. The base station integrates the receiver (Sniffer receiver) to automatically report the source data information due to the execution of the optimization algorithm to the OSS system. The source data information may include: measurement information measured by the base station, and may also include received broadcast information. The broadcast information may include the above neighbor cell information.

3. Implementation of relevant modules in the embodiment of the present invention:

The communication module of the base station: responsible for the basic communication of the base station, and providing a link interface with the network element management entity equipment.

The scanning module of the base station: after receiving the scanning command issued by the OSS, it starts the scanning broadcast message and reports the scanned neighboring cell information to the OSS. The scanning information is shown in Table 1:

Table 1 Base station automatically reports message parameters

The OSS parameter optimization module in the OSS operating system has the following functions:

Function 1: The OSS parameter optimization module judges whether the optimization threshold is exceeded according to the KPI performance monitoring data of the management network element, and if so, enters the state to be optimized.

The default parameters that can be used in this function are as follows: access success rate th_1, call drop rate th_2, handover success rate th_3, E-RAB establishment success rate th_4.

Function 2: Optimize base station power. Utilize the existing configuration power of the small base station, and report the neighbor cell information (frequency point, bandwidth, RSRP, RSRQ) to optimize the power of the base station.

The management and maintenance module in the OSS operating system has the following functions: the OSS optimization parameter module forwards the optimization parameters to the management and maintenance module, and the management and maintenance module sends the optimization parameters to the base station.

The specific steps performed by the OSS optimization module are as follows, please refer to the method flow chart shown in Figure 4:

401: Monitor the KPI performance counter (corresponding) indicator of the network element, and find that the KPI performance indicator is lower than the optimization threshold.

In this step, it is detected that the KPI performance index is lower than the threshold for optimization, which indicates that there is a demand that may need to be optimized, but this demand is an undetermined optimization demand, so optimization does not necessarily need to be performed immediately.

The reference default parameters for the above optimization threshold can be as follows: access success rate th1, call drop rate th2, handover success rate th3, E-RAB (Evolution Radio Access Bearer, evolved radio access bearer) establishment success rate th4 .

402: Determine whether the time when the KPI performance index is lower than the optimization threshold is higher than a predetermined value, that is to say, the time when the KPI performance index is lower than the optimization threshold is longer, and this optimization requirement is a stable optimization requirement. If yes, go to 403, otherwise go to 401.

The specific implementation method of this step may be: judging whether the KPI performance indicators are all lower than the optimization threshold in T monitoring periods, and if so, entering the state to be optimized.

403: The network maintenance engineer first confirms whether the fault is caused by hardware or configuration errors. After troubleshooting, the KPI performance index still fails to reach the target, and the network engineer can input relevant commands to request power parameter optimization.

Judging whether the conditions for starting optimization are met, if so, start optimization, otherwise wait until the conditions for starting optimization are met. Judging whether the condition for starting optimization is met may be judging whether it is the time scheduled by the network maintenance engineer, or the scheduled time when automatic optimization can be performed. After the optimization is started, an instruction is sent to the base station to report the data source required for optimization, so as to collect and optimize the data source.

In this step, the small base station reports the neighbor cell information and base station load obtained through scanning by using the existing configured power of the small base station. Neighboring cell information can include: CGI (Cell global index, cell global unique identifier), frequency point, bandwidth, RSRP (Reference Signal Receiving Power, reference signal receiving power), RSRQ (Reference Signal Receiving Quality, reference signal receiving quality) and other information .

In this step, it is determined that optimization needs to be performed, and the optimization state will be entered. Generally speaking, the time when the above-mentioned automatic optimization can be performed needs to be set at night.

404: Execute the optimization algorithm.

The final conclusion of the power optimization algorithm is to increase or decrease the power, which is divided into the following two scenarios:

Scenario 1: The small base station needs to increase the power (assuming the initial optimal power weight = 0):

There are four constraints:

A: The power of the small base station to be optimized < power threshold 1;

B: (the number of neighboring cells scanned by the small base station to be optimized RSRP-level threshold 2<0)/total number of neighboring cells>ratio threshold 3;

C: Small base station downlink load < load threshold 4;

D: (Number of neighboring cells RSRP scanned by the small base station to be optimized - level threshold 5<0)/total number of neighboring cells>ratio threshold 6;

Judgment conditions: M2000 (network element management entity equipment) judges that the following conditions are true: A&B is true or C&D is true, the power needs to be increased, and the power optimization weight is +1;

After optimization, the power of the small base station = the initial power of the small base station + α * power optimization weight. α is the adjustment coefficient of the power optimization weight.

Scenario 2: Small base stations need to reduce power (initial optimal power weight = 0):

There are four constraints:

E: The power of the small base station to be optimized > power threshold 7;

F: (the number of neighboring cells scanned by the small base station to be optimized RSRP-level threshold 8>0)/total number of neighboring cells>ratio threshold 9;

G: Small base station downlink load > load threshold 10;

H: (the number of neighbor cells RSRP scanned by the small base station to be optimized-level threshold 11>0)/total number of neighbor cells>ratio threshold 12;

Judgment conditions: M2000 judges the following conditions to be true: E&F is true or G&H is true, the power needs to be reduced, and the power optimization weight is -1;

After optimization, the power of the small base station = the initial power of the small base station + α * power optimization weight.

In the above constraints, the recommended threshold value range is as follows:

1. Power threshold 1<power threshold 7, and power threshold 1 should be less than the maximum power of the product.

2. The ratio threshold is 3, the ratio threshold is 6, the ratio threshold is 9, and the ratio threshold is 12. The recommended value range is 0 to 1;

3. The load threshold is 4, and the load threshold is 10. The recommended value range is 0 to 1;

4. Both the level threshold 8 and the level threshold 11 should be greater than the level threshold 2 and the level threshold 5, and be within the level range stipulated in the 3GPP36.101 (Third Generation Partnership Project, third-generation mobile communication partner project) agreement .

405: Execute optimization on the base station, and output an optimization report.

This step may include: optimizing time, optimizing base stations, comparing statistics of parameters before and after optimization, and comparing statistics of network KPIs before and after optimization, which can facilitate subsequent verification of optimization actions.

406: Determine whether the optimized KPI is up to standard, if so, go to 408, otherwise go to 407.

407: Rollback;

In this step, the network KPI performance can be monitored. If the optimization target cannot be achieved or the network KPI performance is degraded, the OSS optimization system can roll back the parameters of the network element to the state before optimization.

408: End the current round of optimization.

After a round of optimization is completed in step 408, the OSS optimization system is still monitoring the KPI performance counter (corresponding) indicators of network elements, and if it is found that the KPI performance indicators are lower than the optimization threshold, it will enter the above process again. In the above process, there are three states, namely: monitoring state, to-be-optimized state, and optimized state, as shown in FIG. 5 , the optimization state transition diagram.

The OSS parameter optimization module of the embodiment scheme of the present invention needs to go through the following three states:

Monitoring status: monitor network KPI status. When the KPI is lower than the predetermined threshold, transfer to the state to be optimized;

To-be-optimized state: Prompt the user whether to optimize or not, and wait. After manual confirmation that optimization is required or when the time for automatic optimization is reached, it will transfer to the optimization state.

Optimization status: The parameter optimization module is optimizing. After the optimization is completed, it is transferred to the monitoring state.

The above solutions provided by the embodiments of the present invention can reduce manual participation in the power parameter optimization process, do not need to manually collect industrial parameter information, can reduce manual workload, and thereby reduce maintenance and optimization costs. In addition, the optimization operation for a large number of base stations is simpler, the optimization process and optimization results can be monitored, and it has the advantage that KPI performance can be guaranteed.

The embodiment of the present invention also provides a device for automatically optimizing base station power, as shown in FIG. 6 , including:

An indicator monitoring unit 601, configured to monitor network performance indicators;

Prompt unit 602, used for if the index monitoring unit 601 monitors that the standard is not reached, then send a prompt message and wait for confirmation whether the performance index is not up to standard caused by a non-power parameter optimization fault;

The information acquisition unit 603 is configured to obtain the current load and neighboring cell information of the base station to be optimized if the performance index is not up to standard due to the non-power parameter optimization fault, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated;

The optimization unit 604 is configured to perform power optimization on the base station to be optimized according to the current load acquired by the information acquisition unit 603 and the neighboring cell information.

In the above embodiments, the network performance indicators are monitored, and when it is determined that the network performance indicators are not up to standard due to power parameter optimization, power optimization is performed based on the current load of the base station to be optimized and the information of neighboring cells, and automatic power optimization can be realized. , can reduce the impact of manual participation, and improve the efficiency and accuracy of power optimization.

Optionally, the above-mentioned information acquisition unit 603 is specifically configured to send an optimization instruction to the base station to be optimized after the performance index is still not up to standard after the non-power parameter optimization troubleshooting is performed, instructing the base station to be optimized to report the current load and neighbor cell information; Optimize the current load of the base station and the information of neighboring cells.

Optionally, the prompt unit 602 is specifically configured to confirm whether the performance index is not up to standard due to hardware failure and/or configuration error.

Further, the above-mentioned device as shown in Figure 7 also includes:

The fallback control unit 701 is configured to roll back the modified power parameters to those before the optimization after the indicator monitoring unit 601 determines that the network performance indicator is still not up to standard after power optimization is performed.

Optionally, the above-mentioned information obtaining unit 603 is specifically configured to obtain the above-mentioned neighbor cell information including: cell globally unique identifier, frequency point, bandwidth; and reference signal received power and/or reference signal received quality.

Optionally, the optimization unit 604 is specifically configured to: if the current power of the base station to be optimized is less than the first power threshold, and the difference between the reference signal received power of the neighboring cell and the first level threshold is less than 0 and the total number of neighboring cells The ratio of the ratio is greater than the first ratio threshold; or, if the above-mentioned current power is less than the first load threshold, and the ratio of the number of the difference between the reference signal received power of the neighboring cell and the second level threshold is less than 0 to the total number of neighboring cells is greater than the second If the above-mentioned current power is greater than the second power threshold, and the difference between the reference signal received power of the adjacent cell and the third level threshold is less than 0, the ratio of the number of the total number of adjacent cells is greater than The third proportional threshold; or, if the above-mentioned current power is less than the second load threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the fourth level threshold is less than 0 to the total number of neighboring cells is greater than the fourth proportional threshold, Then reduce the power of the base station to be optimized; the first power threshold is less than the second power threshold, and the first power threshold is less than the maximum power of the base station to be optimized; the third level threshold and the fourth level threshold are greater than the first level threshold and second level threshold.

The embodiment of the present invention also provides a system for automatically optimizing base station power, as shown in Figure 8, including: a base station 801 and a network element management entity 802 that manages the above base station 801, wherein the above network element management entity is the one shown in Figure 6 or 7 device. It can be understood that the number of base stations may be many, and for an existing network, the number of base stations is huge, and the specific order of magnitude is not limited in the embodiments of the present invention.

The embodiment of the present invention also provides a network element management entity, as shown in FIG. 9 , including: a receiver 901, a transmitter 902, a processor 903, and a memory 904;

Among them, the above-mentioned processor 903 is used to monitor the network performance index. If it is not up to standard, it will send a prompt message and wait for confirmation whether the performance index is not up to standard caused by a non-power parameter optimization fault; if it is a non-power parameter optimization fault. If the index is not up to standard, and the performance index is still not up to standard after non-power parameter optimization troubleshooting, then obtain the current load and neighbor cell information of the base station to be optimized; perform power optimization on the base station to be optimized according to the above current load and the above neighbor cell information.

In the above embodiments, the network performance indicators are monitored, and when it is determined that the network performance indicators are not up to standard due to power parameter optimization, power optimization is performed based on the current load of the base station to be optimized and the information of neighboring cells, and automatic power optimization can be realized. , can reduce the impact of manual participation, and improve the efficiency and accuracy of power optimization.

Optionally, the above-mentioned processor 903 is specifically configured to send an optimization instruction to the base station to be optimized after the performance index is still not up to standard after the non-power parameter optimization troubleshooting is performed, instructing the base station to be optimized to report the current load and neighbor cell information; The current load of the base station and the information of neighboring cells.

Optionally, the above-mentioned processor 903 is specifically configured to confirm whether the performance index is not up to standard due to a hardware failure and/or a configuration error.

Optionally, the above-mentioned processor 903 is further configured to determine whether the network performance index reaches the standard after performing the power optimization, and if the standard is still not reached, roll back the modified power parameter to before the optimization.

Optionally, the above-mentioned processor 903 is specifically configured to obtain the above-mentioned neighbor cell information including: cell globally unique identifier, frequency point, bandwidth; and reference signal received power and/or reference signal received quality.

Optionally, the above-mentioned processor 903 is specifically configured to perform power optimization on the above-mentioned base station to be optimized according to the above-mentioned current load and the above-mentioned neighboring cell information includes: if the current power of the above-mentioned base station to be optimized is less than the first power threshold, and the reference of the neighboring cell The ratio of the number of numbers whose difference between signal received power and the first level threshold is less than 0 to the total number of adjacent cells is greater than the first proportional threshold; The ratio of the number of the difference between the two level thresholds less than 0 to the total number of adjacent cells is greater than the second proportional threshold, then the power of the above-mentioned base station to be optimized is increased; if the above-mentioned current power is greater than the second power threshold, and the reference signal received power of the adjacent cell The ratio of the number of the number whose difference with the third level threshold is less than 0 to the total number of adjacent cells is greater than the third proportional threshold; or, if the above-mentioned current power is less than the second load threshold, and the reference signal received power of the adjacent cell is equal to the fourth level The difference of the threshold is less than the ratio of the number of the number of 0 and the total number of adjacent cells greater than the fourth ratio threshold, then reduce the power of the above-mentioned base station to be optimized; the above-mentioned first power threshold is less than the second power threshold, and the first power threshold is less than the maximum Power; the third level threshold and the fourth level threshold are both greater than the first level threshold and the second level threshold.

It is worth noting that in the above-mentioned embodiments of the device and the network element management entity, each unit included is only divided according to functional logic, but is not limited to the above-mentioned division, as long as the corresponding functions can be realized; in addition, each The specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present invention.

In addition, those of ordinary skill in the art can understand that all or part of the steps in the above-mentioned method embodiments can be completed by instructing related hardware through programs, and the corresponding programs can be stored in a computer-readable storage medium. The storage medium can be read-only memory, magnetic disk or optical disk and so on.

The above are only preferred specific implementation modes of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the embodiments of the present invention. , should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (13)

1. A base station power automatic optimization method, characterized in that, comprising: Monitor the network performance index, if it fails to meet the standard, send a prompt message and wait to confirm whether the performance index is not up to standard due to non-power parameter optimization failure; If the performance index caused by the non-power parameter optimization fault is not up to standard, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated, then obtain the current load and neighbor cell information of the base station to be optimized; Performing power optimization on the base station to be optimized according to the current load and the neighboring cell information. 2. The method according to claim 1, wherein obtaining the current load of the base station to be optimized and the information of neighboring cells comprises: After the performance index is still not up to standard after non-power parameter optimization troubleshooting, an optimization command is sent to the base station to be optimized, instructing the base station to be optimized to report the current load and neighbor cell information; Receive the current load and neighbor cell information of the base station to be optimized. 3. The method according to claim 1, wherein the non-power parameter optimization faults include: hardware faults and/or configuration errors. 4. The method according to any one of claims 1 to 3, further comprising: after performing power optimization on the base station to be optimized: Determine whether the network performance index is up to the standard, and if it is still not up to the standard, roll back the modified power parameters to before optimization. 5. The method according to any one of claims 1 to 3, wherein the neighboring cell information includes: cell global unique identifier, frequency point, bandwidth; and reference signal received power and/or reference signal received quality. 6. The method according to claim 5, wherein performing power optimization on the base station to be optimized according to the current load and the neighboring cell information comprises: If the current power of the base station to be optimized is less than the first power threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the first level threshold is less than 0 to the total number of neighboring cells is greater than the first ratio threshold; or, If the current power is less than the first load threshold, and the ratio of the number of the difference between the reference signal received power of the neighboring cell and the second level threshold is less than 0 to the total number of the neighboring cells is greater than the second ratio threshold, then increase the to-be-optimized The power of the base station; If the current power is greater than the second power threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the third level threshold is less than 0 to the total number of neighboring cells is greater than the third ratio threshold; or, if the current The power is less than the second load threshold, and the ratio of the number of neighbor cells whose difference between the reference signal received power and the fourth level threshold is less than 0 to the total number of neighbor cells is greater than the fourth ratio threshold, then reduce the power of the base station to be optimized; The first power threshold is less than the second power threshold, and the first power threshold is less than the maximum power of the base station to be optimized; Both the third level threshold and the fourth level threshold are greater than the first level threshold and the second level threshold. 7. A device for automatically optimizing base station power, comprising: An indicator monitoring unit, configured to monitor network performance indicators; The prompt unit is used to send a prompt message and wait to confirm whether the performance index is not up to standard due to non-power parameter optimization failure if the indicator monitoring unit fails to meet the standard during monitoring; The information acquisition unit is used to obtain the current load and neighboring cell information of the base station to be optimized if the performance index is not up to standard caused by the non-power parameter optimization fault, and the performance index is still not up to standard after the non-power parameter optimization fault is eliminated; An optimization unit, configured to perform power optimization on the base station to be optimized according to the current load and the neighboring cell information acquired by the information acquisition unit. 8. The device according to claim 7, characterized in that, The information acquisition unit is specifically used to send an optimization instruction to the base station to be optimized after the performance index is still not up to standard after the non-power parameter optimization troubleshooting, instructing the base station to be optimized to report the current load and neighbor cell information; receive the current load of the base station to be optimized load and neighbor information. 9. The device of claim 7, wherein: The prompting unit is specifically used to confirm whether the performance index is not up to standard due to hardware failure and/or configuration error. 10. The device according to any one of claims 7 to 9, further comprising: The fallback control unit is configured to roll back the modified power parameters to before optimization after the index monitoring unit determines that the network performance index is still not up to standard after power optimization is performed. 11. The device according to any one of claims 7 to 9, characterized in that, The information obtaining unit is specifically used to obtain the neighboring cell information including: cell global unique identifier, frequency point, bandwidth; and reference signal received power and/or reference signal received quality. 12. The device of claim 11, wherein: The optimization unit is specifically used for if the current power of the base station to be optimized is less than the first power threshold, and the ratio of the number of the number of adjacent cells whose difference between the reference signal received power and the first level threshold is less than 0 to the total number of adjacent cells is greater than the first A proportional threshold; or, if the current power is less than the first load threshold, and the ratio of the number of the number of neighboring cells whose difference between the reference signal received power and the second level threshold is less than 0 to the total number of neighboring cells is greater than the second proportional threshold, Then increase the power of the base station to be optimized; if the current power is greater than the second power threshold, and the ratio of the difference between the reference signal received power of the adjacent cell and the third level threshold is less than 0 to the total number of adjacent cells is greater than the first Three proportional thresholds; or, if the current power is less than the second load threshold, and the ratio of the number of neighboring cells whose difference between the reference signal received power and the fourth level threshold is less than 0 to the total number of neighboring cells is greater than the fourth proportional threshold, Then reduce the power of the base station to be optimized; the first power threshold is less than the second power threshold, and the first power threshold is less than the maximum power of the base station to be optimized; the third level threshold and the fourth level threshold are both greater than the first A level threshold and a second level threshold. 13. A system for automatically optimizing base station power, comprising: a base station and a network element management entity that manages the base station, characterized in that, The network element management entity is the device described in any one of claims 7-12.

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