CN112770360A - Wireless parameter optimization method, device and system - Google Patents
Wireless parameter optimization method, device and system Download PDFInfo
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- CN112770360A CN112770360A CN202011581179.6A CN202011581179A CN112770360A CN 112770360 A CN112770360 A CN 112770360A CN 202011581179 A CN202011581179 A CN 202011581179A CN 112770360 A CN112770360 A CN 112770360A
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Abstract
The invention provides a wireless parameter optimization method, a device and a system, wherein the method comprises the following steps: generating a configuration data request according to a parameter configuration table in the current operation state; sending a configuration data request to a base station; receiving a first parameter configuration table including parameter data and index data in a current operation state, which are periodically sent by a base station; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request; obtaining an optimized parameter configuration table by utilizing the first parameter configuration table; sending the optimized parameter configuration table to a base station; receiving index data which is sent by a base station and is in an optimization parameter configuration table; judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value or not; if yes, the optimization of the wireless parameters is completed. The scheme can improve the service efficiency of the base station.
Description
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a method, an apparatus, and a system for optimizing wireless parameters.
Background
In modern networks, due to coexistence of different networks, the networks become more complex, and a large amount of wireless parameters and data greatly increase the workload of network optimization personnel. Meanwhile, with the development of wireless network applications and the aggravation of homogenization competition of internet applications, the requirements of users on data service experience are higher and higher, but the existing base station needs to perform wireless parameter optimization adjustment based on manual experience or a traditional optimization method, so that the timeliness and accuracy of obtaining the user experience are poor, the adaptation efficiency of the service and the dynamic air interface transmission capacity is low, and the overall service efficiency of the base station is low.
Disclosure of Invention
The embodiment of the invention provides a wireless parameter optimization method, a wireless parameter optimization device and a wireless parameter optimization system, which can improve the service efficiency of a base station.
In a first aspect, the present invention provides a method for optimizing wireless parameters, including:
generating a configuration data request according to a parameter configuration table in the current operation state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
sending the configuration data request to a base station;
receiving a first parameter configuration table including parameter data and index data in a current operation state, which are periodically sent by the base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
obtaining an optimized parameter configuration table by utilizing the first parameter configuration table; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
sending the optimization parameter configuration table to the base station;
receiving index data which is sent by the base station and is under the optimization parameter configuration table;
judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value or not;
if yes, the optimization of the wireless parameters is completed.
Optionally, the generating a configuration data request according to the parameter configuration table in the current operating state includes:
determining each parameter name marked as set in the parameter configuration table;
determining the arrangement sequence of each parameter name marked as set;
and reserving each parameter name marked as a set in the parameter configuration table according to the determined arrangement sequence to generate a configuration data request.
Optionally, the obtaining an optimized parameter configuration table by using the first parameter configuration table includes:
determining an application model according to the parameter data included in the first parameter configuration table;
inputting parameter data included in the first parameter configuration table into the determined application model;
obtaining the optimized parameter configuration table;
the application model is obtained by pre-training at least two groups of sample sets, and each group of sample set comprises parameter data in the first parameter configuration table as input and optimized parameter data in the optimized parameter configuration table as output.
Optionally, after the receiving the index data in the optimized parameter configuration table sent by the base station, before the determining whether the index data in the optimized parameter configuration table is greater than a preset index data threshold, the method further includes:
judging whether the index data in the optimization parameter configuration table is larger than the received index data in the current operation state sent by the base station;
if so, executing the judgment to judge whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value;
if not, the application model is determined again according to the parameter data included in the first parameter configuration table.
Optionally, after the completing the optimization of the wireless parameters, the method further includes:
and training the application model by using the optimization parameter configuration table to obtain an optimized application model aiming at the application model.
Optionally, after the determining whether the index data in the optimized parameter configuration table is greater than a preset index data threshold, the method further includes:
and if the index data in the optimized parameter configuration table is not larger than a preset index data threshold, executing the receiving of the first parameter configuration table including the parameter data periodically sent by the base station and the index data in the current operation state.
In a second aspect, the present invention provides a wireless parameter optimization apparatus, including:
the generating module is used for generating a configuration data request according to the parameter configuration table in the current running state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
a sending module, configured to send the configuration data request generated by the generating module to a base station;
a receiving module, configured to receive a first parameter configuration table including parameter data and index data in a current operating state, where the first parameter configuration table and the index data are periodically sent by the base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
the obtaining module is used for obtaining an optimized parameter configuration table by utilizing the first parameter configuration table received by the receiving module; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
the sending module is further configured to send the optimized parameter configuration table obtained by the obtaining module to the base station;
the receiving module is further configured to receive index data sent by the base station under the optimization parameter configuration table;
and the judging module is used for judging whether the index data of the receiving module in the optimized parameter configuration table is larger than a preset index data threshold value or not, and if so, the optimization of the wireless parameters is completed.
In a third aspect, the present invention provides a wireless parameter optimization system, including: a base station and the radio parameter optimization apparatus provided in any possible implementation manner of the second aspect or the second aspect;
the base station is used for receiving a configuration data request sent by the wireless parameter optimization device; periodically sending a first parameter configuration table comprising parameter data and index data in the current operation state to the wireless parameter optimization device; receiving an optimization parameter configuration table;
the base station is further configured to perform authentication according to a subscription instruction carried in the configuration data request after receiving the configuration data request, and send notification information to the wireless parameter optimization device when the authentication is successful; wherein the notification information is used to indicate that the base station has responded to the configuration data request;
the base station is further configured to, after responding to the configuration data request, correspondingly record the parameter data requested by the configuration data request in a parameter configuration table according to the arrangement order of the parameter names corresponding to the parameter data, and generate a first parameter configuration table.
In a fourth aspect, an embodiment of the present invention provides a wireless parameter optimization apparatus, including: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform the method according to the first aspect or any possible implementation manner of the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer-readable medium, on which computer instructions are stored, and when executed by a processor, the computer instructions cause the processor to perform the method provided by the first aspect or any possible implementation manner of the first aspect.
The invention provides a wireless parameter optimization method, a wireless parameter optimization device and a wireless parameter optimization system. In summary, the wireless parameter optimization method subscribes parameter data to the base station based on the configuration data request to receive the first parameter configuration table including the parameter data periodically sent by the base station according to the configuration data request, so that the parameter data of the base station can be obtained in real time; and acquiring an optimized parameter configuration table based on the first parameter configuration table acquired in real time, acquiring index data of the base station in the current running state and index data of the base station in the optimized parameter configuration table, comparing the index data and the index data, and accurately acquiring user experience in real time, further realizing real-time optimization of the wireless parameters of the base station and improving the user experience. Therefore, the overall service efficiency of the base station is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for optimizing wireless parameters according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a device in which a wireless parameter optimization apparatus according to an embodiment of the present invention is located;
fig. 3 is a schematic diagram of a wireless parameter optimization apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a wireless parameter optimization system according to an embodiment of the present invention;
fig. 5 is a flowchart of another wireless parameter optimization method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer and more complete, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention, and based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for optimizing wireless parameters, which may include the following steps:
step 101: generating a configuration data request according to a parameter configuration table in the current operation state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
step 102: sending a configuration data request to a base station;
step 103: receiving a first parameter configuration table including parameter data and index data in a current operation state, which are periodically sent by a base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
step 104: obtaining an optimized parameter configuration table by utilizing the first parameter configuration table; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
step 105: sending the optimized parameter configuration table to a base station;
step 106: receiving index data which is sent by a base station and is in an optimization parameter configuration table;
step 107: judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value or not;
step 108: if yes, the optimization of the wireless parameters is completed.
The embodiment of the invention provides a wireless parameter optimization method, which comprises the steps of generating a configuration data request through a parameter configuration table in the current operation state, sending the configuration data request to a base station, receiving a first parameter configuration table comprising parameter data periodically sent by the base station and index data in the current operation state, obtaining an optimized parameter configuration table by using the first parameter configuration table, sending the optimized parameter configuration table to the base station for optimizing wireless parameters, receiving the index data in the optimized parameter configuration table sent by the base station, and determining to complete optimization of the wireless parameters when the index data in the optimized parameter configuration table is larger than a preset index data threshold value. In summary, the wireless parameter optimization method subscribes parameter data to the base station based on the configuration data request to receive the first parameter configuration table including the parameter data periodically sent by the base station according to the configuration data request, so that the parameter data of the base station can be obtained in real time; and acquiring an optimized parameter configuration table based on the first parameter configuration table acquired in real time, acquiring index data of the base station in the current running state and index data of the base station in the optimized parameter configuration table, comparing the index data and the index data, and accurately acquiring user experience in real time, further realizing real-time optimization of the wireless parameters of the base station and improving the user experience. Therefore, the overall service efficiency of the base station is improved.
In the embodiment of the present invention, the base station may include an eNB/NR base station, an LTE/NR base station, and the index data may include coverage class index data (e.g., coverage), call establishment class index data (e.g., call success rate, radio access rate), call hold class index data (e.g., call drop rate, congestion rate), and mobility management class index data (e.g., handover success rate).
In the embodiment of the present invention, according to the configuration data request, the base station periodically sends the first parameter configuration table and the index data in the current operating state, and each parameter data included in the first parameter configuration table is arranged in sequence, and the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request. Therefore, based on the same arrangement sequence, the position of the parameter data can be accurately and quickly acquired, meanwhile, the base station shortens the time for generating the first parameter configuration table and sends the first parameter configuration table in time, and therefore the efficiency of wireless parameter optimization is further improved.
Optionally, in the method for optimizing wireless parameters shown in fig. 1, in step 101, generating a configuration data request according to a parameter configuration table in a current operating state includes:
determining each parameter name marked as set in a parameter configuration table;
determining the arrangement sequence of each parameter name marked as set;
and reserving each parameter name marked as a set in the parameter configuration table according to the determined arrangement sequence to generate a configuration data request.
In the embodiment of the present invention, each parameter name in the parameter configuration table is arranged in sequence, the parameter name included in the configuration data request is determined by judging whether each parameter name is marked as set, then each parameter name marked as set and the arrangement sequence of each parameter name are determined to be reserved, and the configuration data request is generated, that is, the configuration data request includes the set parameter names arranged in sequence. And the parameter data corresponding to the parameter name marked as set is required to be acquired by a request of the base station.
For example, the parameter configuration table includes parameter names, memory values of parameter data corresponding to the parameter names, an arrangement order of the parameter names, and setting flags of the parameter names in the current operating state, where the setting flag is 1 or 0, and the parameter name corresponding to the setting flag is set, that is, it is necessary to request the base station to acquire the parameter data corresponding to the parameter name; the parameter name with the corresponding setting flag being 0 is not fingerprinted, that is, the base station does not need to be requested to acquire the parameter data corresponding to the parameter name. It should be noted that the parameter data corresponding to the parameter name marked with 1 is the parameter data required in the current operating state.
In the embodiment of the invention, aiming at different service requirements or user requirements, a configuration data request corresponding to the service or user requirements can be generated according to the parameter configuration table in the current operation state, and the reusability of the parameter configuration table is higher. Specifically, for different service requirements or user requirements, the parameter names marked as set in the parameter configuration table are different. The parameter data required to be requested to the base station can be determined by whether the corresponding parameter name is set or not, and the configuration data request corresponding to the service requirement is generated, so that the requirements for different services and different users can be flexibly met, the user experience is improved, and the service efficiency of the base station is improved.
Specifically, it may further be checked whether the parameter name marked as set in the parameter configuration table is consistent with the parameter name corresponding to each parameter data in the first parameter configuration table according to the parameter data included in the first parameter configuration table, and if not, the parameter name not set in the parameter configuration table is set according to the parameter data in the first parameter configuration table, so as to ensure consistency of the acquired parameter data, and further ensure accuracy of wireless parameter optimization.
Optionally, in the method for optimizing wireless parameters shown in fig. 1, step 104 obtains an optimized parameter configuration table by using the first parameter configuration table, and includes:
determining an application model according to parameter data included in the first parameter configuration table;
inputting parameter data included in the first parameter configuration table into the determined application model;
obtaining an optimized parameter configuration table;
the application model is obtained by pre-training at least two groups of sample sets, and each group of sample sets comprises parameter data in the first parameter configuration table as input and optimized parameter data in the optimized parameter configuration table as output.
In the embodiment of the present invention, an application model may be determined according to parameter data included in the first parameter configuration table, and an optimized parameter configuration table may be obtained by inputting the parameter data included in the first parameter configuration table into the determined application model.
In the embodiment of the present invention, at least two application models are pre-stored for different business requirements or user requirements, each application model is obtained by pre-training at least two sets of sample sets based on a machine learning algorithm, and each set of sample sets includes parameter data in the first parameter configuration table as input and optimized parameter data in the optimized parameter configuration table as output. Therefore, for each service demand, the application model corresponding to the service demand can be matched and determined according to the parameter data required by the service demand, and then the parameter data in the current operation state is optimized through the application model to obtain the optimized parameter configuration table comprising the optimized parameter data, the optimized parameter data can be obtained without manually carrying out a large amount of data calculation and analysis, and the efficiency and the intellectualization of wireless parameter optimization are improved.
Optionally, in the method for optimizing wireless parameters shown in fig. 1, after receiving, in step 106, the index data in the optimized parameter configuration table sent by the base station, and before determining, in step 107, whether the index data in the optimized parameter configuration table is greater than a preset index data threshold, the method further includes:
judging whether the index data in the optimized parameter configuration table is larger than the received index data in the current operation state sent by the base station;
if so, executing and judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value;
if not, the application model is re-determined according to the parameter data included in the first parameter configuration table.
In the embodiment of the invention, after the index data under the optimized parameter configuration table sent by the base station is received, if the index data under the optimized parameter configuration table is larger than the received index data under the current operation state (operation state before optimization) sent by the base station, the determined application model is the most matched application model, and then whether the index data under the optimized parameter configuration table is larger than a preset index data threshold value is judged; if the index data in the optimized parameter configuration table is not larger than the received index data in the current operation state sent by the base station, the application model is determined again according to the parameter data included in the first parameter configuration table, that is, the application model determined in step 104 is not the best matching application model.
In the embodiment of the invention, the determined application model is verified through the comparison of the index data before and after the parameter data is optimized so as to further determine the correctness of the application model, and the optimized parameter data can be obtained through the application model, thereby ensuring the success rate of the optimization of the wireless data.
Optionally, in the method for optimizing wireless parameters shown in fig. 1, after the step 108 of completing the optimization of the wireless parameters, the method further includes:
and training the application model by using the optimization parameter configuration table to obtain an optimized application model aiming at the application model.
In the embodiment of the invention, after the index data in the optimized parameter configuration table is judged to be larger than the preset index data threshold value and the optimization of the wireless parameters is determined to be completed, the determined application model is trained by using the optimized parameter configuration table before the optimization of the wireless parameters is completed, and the application model can be optimized to obtain the optimized application model. Therefore, the optimization of the wireless parameters and the application model is realized simultaneously in the embodiment of the invention, and the efficiency of the subsequent wireless parameter optimization process can be improved by optimizing the application model. Therefore, the wireless parameter optimization method of the embodiment of the invention not only meets the continuously improved requirements of users, but also continuously optimizes the application model in the wireless parameter optimization process, and the application model and the wireless parameter are mutually promoted, so that the optimization efficiency of the wireless parameters is improved, the service efficiency of the base station is continuously improved, and the automatic optimization of the service efficiency of the base station is further realized.
Optionally, in the method for optimizing wireless parameters shown in fig. 1, after determining in step 107 whether the index data in the optimized parameter configuration table is greater than a preset index data threshold, the method further includes:
and if the index data under the optimized parameter configuration table is not larger than a preset index data threshold, receiving a first parameter configuration table which comprises parameter data and is periodically sent by the base station and the index data under the current operation state.
In the embodiment of the present invention, if the index data in the optimized parameter configuration table is not greater than the preset index data threshold, the step 103 is returned to receive the first parameter configuration table including the parameter data and the index data in the current operating state, which are periodically sent by the base station, until the index data in the optimized parameter configuration table is greater than the preset index data threshold. Therefore, based on the first parameter configuration table periodically sent by the base station and the index data in the current operation state, the user experience can be accurately obtained in real time, real-time intelligent optimization of the wireless parameters is achieved, manual scheduling is not needed, the efficiency of wireless parameter optimization is improved, and the service efficiency of the base station is further improved.
As shown in fig. 2 and fig. 3, the embodiment of the present invention provides a wireless parameter optimization apparatus. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. From a hardware level, as shown in fig. 2, a hardware structure diagram of a device in which the wireless parameter optimization apparatus provided in the embodiment of the present invention is located is shown, where in addition to the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 2, the device in which the apparatus is located in the embodiment may also generally include other hardware, such as a forwarding chip responsible for processing a packet, and the like. Taking a software implementation as an example, as shown in fig. 3, as a logical apparatus, the apparatus is formed by reading, by a CPU of a device in which the apparatus is located, corresponding computer program instructions in a non-volatile memory into a memory for execution. The wireless parameter optimization device provided by the embodiment comprises:
a generating module 301, configured to generate a configuration data request according to a parameter configuration table in a current operating state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
a sending module 302, configured to send the configuration data request generated by the generating module 301 to a base station;
a receiving module 303, configured to receive a first parameter configuration table including parameter data and index data in a current operating state, which are periodically sent by a base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
an obtaining module 304, configured to obtain an optimized parameter configuration table by using the first parameter configuration table received by the receiving module 303; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
a sending module 302, configured to send the optimized parameter configuration table obtained by the obtaining module 304 to the base station;
the receiving module 303 is further configured to receive index data sent by the base station in the optimized parameter configuration table;
the determining module 305 is configured to determine whether the index data of the receiving module 303 in the optimized parameter configuration table is greater than a preset index data threshold, and if so, complete the optimization of the wireless parameters.
Optionally, on the basis of the wireless parameter optimization apparatus shown in fig. 3, the generating module 301 is further configured to perform the following operations:
generating a configuration data request according to a parameter configuration table in the current operation state, wherein the configuration data request comprises the following steps:
determining each parameter name marked as set in a parameter configuration table;
determining the arrangement sequence of each parameter name marked as set;
and reserving each parameter name marked as a set in the parameter configuration table according to the determined arrangement sequence to generate a configuration data request.
Optionally, on the basis of the wireless parameter optimization apparatus shown in fig. 3, the obtaining module 304 is further configured to perform the following operations:
determining an application model according to parameter data included in the first parameter configuration table;
inputting parameter data included in the first parameter configuration table into the determined application model;
obtaining an optimized parameter configuration table;
the application model is obtained by pre-training at least two groups of sample sets, and each group of sample sets comprises parameter data in a first parameter configuration table as input and optimized parameter data in an optimized parameter configuration table as output.
Optionally, on the basis of the wireless parameter optimization apparatus shown in fig. 3, the apparatus further includes a checking module, configured to perform the following operations:
judging whether the index data in the optimized parameter configuration table is larger than the received index data in the current operation state sent by the base station;
if so, executing and judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value;
if not, the application model is re-determined according to the parameter data included in the first parameter configuration table.
Optionally, on the basis of the wireless parameter optimization apparatus shown in fig. 3, the apparatus further includes an optimization module, where the optimization module is configured to perform the following operations:
and training the application model by using the optimization parameter configuration table to obtain an optimized application model aiming at the application model.
Optionally, on the basis of the wireless parameter optimization apparatus shown in fig. 3, the determining module 305 is further configured to perform the following operations:
if the index data in the optimization parameter configuration table is not greater than the preset index data threshold, the operation executed by the receiving module 303 is executed.
Because the content of information interaction, execution process, and the like among the modules in the device is based on the same concept as the method embodiment of the present invention, specific content can be referred to the description in the method embodiment of the present invention, and is not described herein again.
As shown in fig. 4, an embodiment of the present invention provides a wireless parameter optimization system. The system comprises: the base station 401 and the radio parameter optimization apparatus 402 provided in any of the above embodiments;
a base station 401, configured to receive a configuration data request sent by a radio parameter optimization apparatus 402; periodically sending a first parameter configuration table including parameter data and index data in the current operation state to the wireless parameter optimization device 402; receiving an optimization parameter configuration table;
the base station 401 is further configured to perform authentication according to the subscription instruction carried in the configuration data request after receiving the configuration data request, and send notification information to the wireless parameter optimization device when the authentication is successful; wherein the notification information is used for indicating that the base station has responded to the configuration data request;
the base station 401 is further configured to, after responding to the configuration data request, correspondingly record the parameter data requested by the configuration data request in the parameter configuration table according to the arrangement order of the parameter names corresponding to the parameter data, and generate a first parameter configuration table.
In the embodiment of the present invention, the wireless parameter optimization device may be a wireless intelligent controller RIC (Radio intelligent controller). Specifically, the wireless parameter optimization device is an open and extensible application platform, multiple applications can be deployed, and the applications can customize application parameter data, application models and the like based on different services or user requirements to perform big data analysis so as to obtain optimized parameter data. The configuration data request comprises a request of a user for parameter data required by at least one application, and the arrangement sequence of the parameter data required by each application is the same as the arrangement sequence of the parameter names corresponding to the parameter data in the configuration data request.
In the embodiment of the invention, after the base station receives the configuration data request, authentication is carried out according to the subscription instruction carried in the configuration data request, and notification information is sent to the wireless parameter optimization device when the authentication is successful so as to indicate that the base station responds to the configuration data request. The subscription instruction carried in the configuration data request comprises a token, and whether the wireless parameter optimization device can make a data request to the base station can be determined based on the token, so that the security of the data request is ensured, and meanwhile, when the RIC is used as the wireless parameter optimization device, convenience is provided for deploying the application extension on the RIC. Therefore, the safety and the expandability of the wireless parameter optimization system are improved.
In the embodiment of the present invention, after the base station responds to the configuration data request, the base station first obtains the parameter data requested by the configuration data request from the stored parameter data, and correspondingly records the parameter data in the parameter configuration table according to the arrangement order of the parameter names corresponding to the parameter data, so as to generate the first parameter configuration table. Therefore, based on the same arrangement sequence with the parameter configuration table, the position of the parameter data can be accurately and quickly acquired, the time for generating the first parameter configuration table is shortened, and the first parameter configuration table is sent out in time, so that the efficiency of wireless parameter optimization is further improved.
In order to more clearly illustrate the technical solution and advantages of the present invention, as shown in fig. 5, the following describes in detail a wireless parameter optimization method provided by an embodiment of the present invention, which specifically includes:
specific example 1:
step 501: the wireless parameter optimization device generates a configuration data request.
Specifically, the wireless parameter optimization device determines each parameter name marked as set in the parameter configuration table according to the parameter configuration table in the current operating state, determines the arrangement sequence of each parameter name marked as set, and reserves each parameter name marked as set in the parameter configuration table according to the determined arrangement sequence to generate the configuration data request. The parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name.
For example, a cell 02 and a cell 03 exist under a base station 001 with a 46000 PLMN, and the base station 001 is connected to an intelligent optimization cloud computing server (i.e., a wireless parameter optimization device). The method comprises the steps that an intelligent network rule network optimization application deployed on an intelligent optimization cloud computing server obtains parameter data to be collected according to a parameter configuration table in a current operation state, wherein parameter names such as the number of access users, access time, cell edge power, switching success rate and the like are marked as set, an application parameter table aiming at the intelligent network rule network optimization application is generated according to the parameter names, the parameter names are filled into the parameter configuration table, and a configuration data request is generated.
Step 502: and the base station periodically sends the first parameter configuration table and the index data in the current operation state to the wireless parameter optimization device.
Specifically, after the wireless parameter optimization device sends the configuration data request to the base station, the base station performs authentication according to a subscription instruction carried in the received configuration data request, and sends notification information to the wireless parameter optimization device to respond to the configuration data request when the authentication is successful, then obtains parameter data requested by the configuration data request, and correspondingly records the parameter data in the parameter configuration table according to the arrangement sequence of parameter names corresponding to the parameter data in the configuration data request, generates a first parameter configuration table, and then sends the index data in the current operation state, which is stored in the first parameter configuration table and the base station, to the wireless parameter optimization device.
For example, as described in the previous example, the base station 001 puts the static configuration parameters, the dynamically generated cell-level parameters, the UE-level parameters, and the index data in the memory according to the preset format for storage, after receiving the configuration data request, the base station 001 performs authentication according to the subscription instruction carried in the configuration data request, and responds to the smart cloud computing server when the authentication is successful, then obtains the parameter data and the index data required by the configuration data request from the memory of the base station 001, obtains the parameter data according to the configuration data request, such as the number of access users, the access time, the cell edge power, the handover success rate, and the like stored in the memory, and correspondingly records the parameter data in the parameter configuration table according to the arrangement sequence of the parameter name corresponding to each parameter data, generates the first parameter configuration table, and then the base station periodically sends the first parameter configuration table and the index data to the smart cloud computing server through the ping-pong operation And transforming the cloud computing server.
Step 503: the wireless parameter optimization device obtains an optimized parameter configuration table by using the application model.
Specifically, the wireless parameter optimization device determines an application model according to parameter data included in a first parameter configuration table; inputting parameter data included in the first parameter configuration table into the determined application model; obtaining the optimized parameter configuration table; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data; the application model is obtained by pre-training at least two groups of sample sets, and each group of sample sets comprises parameter data in the first parameter configuration table as input and optimized parameter data in the optimized parameter configuration table as output.
For example, as described in the previous example, the smart optimization cloud computing server first generates parameter data required by the smart network optimization according to the parameter data included in the first parameter configuration table, where the smart network optimization performs parameter data feature extraction and application model matching based on the parameter data collected from the base station 001, determines an application model of a service corresponding to a current operating state, and inputs the parameter data acquired from the base station into the application model to obtain an optimized parameter configuration table after first optimization, where the optimized parameter configuration table includes optimized parameter data such as an antenna tilt angle and a cell power parameter.
Step 504: and the wireless parameter optimization device sends the optimized parameter configuration table to the base station.
Specifically, after the wireless parameter optimization device sends the optimized parameter configuration table to the base station, the base station adjusts the wireless parameters according to the optimized parameters in the optimized parameter configuration table, so as to operate under the optimized parameters. Meanwhile, the wireless parameter optimization device continuously receives a first parameter configuration table periodically sent by the station building and index data in the current operation state.
For example, as described in the previous example, the smart optimized cloud computing server sends the optimized parameter configuration table after the first optimization to the base station 001, and the base station 001 operates under the optimized parameters included in the optimized parameter configuration table.
Step 505: the wireless parameter optimization device receives index data which is sent by the base station and is in the optimization parameter configuration table.
Specifically, the base station sends the index data in the optimized parameter configuration table and the optimized parameter configuration table to the wireless parameter optimization device. Aiming at the first optimization under the determined application model, the wireless parameter optimization device judges whether the index data under the optimization parameter configuration table is larger than the received index data under the current operation state sent by the base station; if so, go to step 506; if not, step 503 is performed to re-determine the application model.
For example, as described in the previous example, the smart optimized cloud computing server receives index data of the base station 001 during operation under the optimized parameter configuration table after the first optimization, determines whether the index data under the optimized parameter configuration table is greater than the received index data in the current operation state (i.e., the operation state before the first optimization) sent by the base station, and if so, continues to determine whether the index data under the optimized parameter configuration table is greater than a preset index data threshold; otherwise, the application model is determined again by returning to step 503.
Step 506: the wireless parameter optimization device judges whether the index data in the optimization parameter configuration table is larger than a preset index data threshold, if so, the step 507 is executed, otherwise, the step 502 is executed.
For example, as described in the previous example, the smart optimization cloud computing server receives index data of the base station 001 running under the n-th sub-optimized optimization parameter configuration table, determines whether the index data obtained at the n-th time is greater than a preset index data threshold, completes optimization of the wireless parameters if the index data is greater than the preset index data threshold, and otherwise returns to execute step 502. For example, the preset index data threshold may include a handover success rate of 99.8% and a retransmission rate of 20%.
Step 507: and completing the optimization of the wireless parameters and optimizing the application model.
Specifically, the application model is trained by using the optimized parameter configuration table, and an optimized application model for the application model is obtained.
For example, as described in the previous example, after the intelligent optimization cloud computing server determines that the index data obtained at the nth time is greater than the preset index data threshold, the wireless parameter optimization for the base station 001 is completed, and the user requirements of the cell 02 and the cell 03 are met. Meanwhile, the intelligent optimization cloud computing server obtains n optimization parameter configuration tables obtained in the previous n secondary optimization processes, trains the determined application model by taking the n optimization parameter configuration tables as a sample set to obtain an optimized application model, and completes optimization of the application model.
Specific example 2:
step 501: the wireless parameter optimization device generates a configuration data request.
For example, the base station 002 is connected to RIC (i.e., radio parameter optimization device). The RIC is deployed with a specific user application, a user can customize the parameter name of parameter data required to be collected according to the specific user application, the parameter name to be collected is set from a parameter configuration table, for example, a downlink scheduling period, a downlink data rate, an uplink scheduling period, an uplink data rate, a position measurement parameter, a spectrum interference parameter and the like are all marked as set, an application parameter table for the specific user application can be generated according to the parameter configuration table, and the application parameter table is filled into the parameter configuration table to generate a configuration data request.
Step 502: and the base station periodically sends the first parameter configuration table and the index data in the current operation state to the wireless parameter optimization device.
For example, as described in the previous example, the base station 002 stores the static configuration parameters, the dynamically generated cell level parameters, the UE level parameters, and the index data in the current operating state into the memory according to the preset format in advance, after the base station 002 receives the configuration data request, it performs authentication and authorization, and responds to the RIC when the authentication is successful, then, parameter data and index data required for configuring the data request are acquired from the memory of the base station 002, and the parameter data is used for acquiring parameter data such as a downlink scheduling period, a downlink data rate, an uplink scheduling period, an uplink data rate, a position measurement parameter, a spectrum interference parameter and the like stored in a memory according to the configuration data request, and correspondingly recording the parameter names corresponding to each parameter data in a parameter configuration table according to the arrangement sequence of the parameter names to generate a first parameter configuration table, the base station then periodically sends the first parameter configuration table and the index data to the RIC through ping-pong operations.
Step 503: the wireless parameter optimization device obtains an optimized parameter configuration table by using the application model.
For example, as described in the previous example, the RIC first generates parameter data required by the application corresponding to the specific user according to the parameter data included in the first parameter configuration table, and the application for the specific user performs parameter data feature extraction and application model matching based on the parameter data collected from the base station 002, determines an application model of the service of the specific user corresponding to the current operating state, and inputs the parameter data acquired from the base station into the application model to obtain the optimized parameter configuration table after the first optimization.
Step 504: and the wireless parameter optimization device sends the optimized parameter configuration table to the base station.
For example, as described in the previous example, the RIC sends the optimized parameter configuration table after the first optimization to the base station 002, and the base station 002 operates under the optimized parameters included in the optimized parameter configuration table.
Step 505: the wireless parameter optimization device receives index data which is sent by the base station and is in the optimization parameter configuration table.
For example, as described in the previous example, the RIC receives the index data of the base station 002 running under the optimized parameter configuration table after the first optimization, and determines whether the index data under the optimized parameter configuration table is greater than the received index data in the current running state (i.e., running state before the first optimization) sent by the base station, and if so, continues to determine whether the index data under the optimized parameter configuration table is greater than a preset index data threshold; otherwise, the application model is determined again by returning to step 503.
Step 506: the wireless parameter optimization device judges whether the index data in the optimization parameter configuration table is larger than a preset index data threshold, if so, the step 507 is executed, otherwise, the step 502 is executed.
For example, as described in the previous example, the RIC receives the index data of the base station 002 running under the n-th sub-optimized parameter configuration table, determines whether the index data obtained at the n-th time is greater than a preset index data threshold, if so, completes the optimization of the wireless parameters, otherwise, returns to execute step 502.
Step 507: and completing the optimization of the wireless parameters and optimizing the application model.
For example, as described in the previous example, after the RIC determines that the index data obtained at the nth time is greater than the preset index data threshold, the optimization parameter data included in the nth secondary optimization parameter configuration table guarantees the ultra-far coverage and the data service request of the specific user based on the positioning information of the specific user and the intra-cell RB (Resource Block) interference information. And simultaneously, the RIC server acquires n optimized parameter configuration tables obtained in the previous n secondary optimization processes, trains the determined application model by taking the n optimized parameter configuration tables as a sample set to obtain an optimized application model, and completes the optimization of the application model.
The embodiment of the invention also provides a wireless parameter optimization device, which comprises: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is configured to invoke the machine-readable program to perform the method according to any embodiment of the invention.
An embodiment of the present invention further provides a wireless parameter optimization apparatus, where a computer readable medium has computer instructions stored thereon, and when the computer instructions are executed by a processor, the processor is caused to execute the method according to any embodiment of the present invention.
It is to be understood that the illustrated structure of the embodiment of the present invention does not constitute a specific limitation to the wireless parameter optimization device. In other embodiments of the invention, the wireless parameter optimization device may include more or fewer components than shown, or some components may be combined, some components may be split, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a" does not exclude the presence of other similar elements in a process, method, article, or apparatus that comprises the element.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is only used to illustrate the technical solutions of the present invention, and not to limit the protection scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A wireless parameter optimization method is characterized by comprising the following steps:
generating a configuration data request according to a parameter configuration table in the current operation state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
sending the configuration data request to a base station;
receiving a first parameter configuration table including parameter data and index data in a current operation state, which are periodically sent by the base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
obtaining an optimized parameter configuration table by utilizing the first parameter configuration table; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
sending the optimization parameter configuration table to the base station;
receiving index data which is sent by the base station and is under the optimization parameter configuration table;
judging whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value or not;
if yes, the optimization of the wireless parameters is completed.
2. The method of claim 1, wherein generating a configuration data request according to the parameter configuration table in the current operating state comprises:
determining each parameter name marked as set in the parameter configuration table;
determining the arrangement sequence of each parameter name marked as set;
and reserving each parameter name marked as a set in the parameter configuration table according to the determined arrangement sequence to generate a configuration data request.
3. The method of claim 1, wherein obtaining an optimized parameter configuration table using the first parameter configuration table comprises:
determining an application model according to the parameter data included in the first parameter configuration table;
inputting parameter data included in the first parameter configuration table into the determined application model;
obtaining the optimized parameter configuration table;
the application model is obtained by pre-training at least two groups of sample sets, and each group of sample set comprises parameter data in the first parameter configuration table as input and optimized parameter data in the optimized parameter configuration table as output.
4. The method according to claim 3, wherein after the receiving the index data under the optimized parameter configuration table sent by the base station, before the determining whether the index data under the optimized parameter configuration table is greater than a preset index data threshold, further comprising:
judging whether the index data in the optimization parameter configuration table is larger than the received index data in the current operation state sent by the base station;
if so, executing the judgment to judge whether the index data in the optimization parameter configuration table is larger than a preset index data threshold value;
if not, the application model is determined again according to the parameter data included in the first parameter configuration table.
5. The method of claim 3, after the completing the optimization of the wireless parameters, further comprising:
and training the application model by using the optimization parameter configuration table to obtain an optimized application model aiming at the application model.
6. The method according to any one of claims 1 to 5, wherein after the determining whether the index data in the optimized parameter configuration table is greater than a preset index data threshold, the method further comprises:
and if the index data in the optimized parameter configuration table is not larger than a preset index data threshold, executing the receiving of the first parameter configuration table including the parameter data periodically sent by the base station and the index data in the current operation state.
7. A wireless parameter optimization device, comprising:
the generating module is used for generating a configuration data request according to the parameter configuration table in the current running state; the parameter configuration table comprises at least two parameter names, the at least two parameter names are arranged according to a preset sequence, and the configuration data request comprises a request for parameter data under at least one parameter name;
a sending module, configured to send the configuration data request generated by the generating module to a base station;
a receiving module, configured to receive a first parameter configuration table including parameter data and index data in a current operating state, where the first parameter configuration table and the index data are periodically sent by the base station; the first parameter configuration table is obtained according to the configuration data request; for each parameter data, the arrangement sequence of the parameter data in the first parameter configuration table is the same as the arrangement sequence of the parameter name corresponding to the parameter data in the configuration data request;
the obtaining module is used for obtaining an optimized parameter configuration table by utilizing the first parameter configuration table received by the receiving module; the optimization parameter configuration table comprises optimized parameter data which are optimized according to the parameter data;
the sending module is further configured to send the optimized parameter configuration table obtained by the obtaining module to the base station;
the receiving module is further configured to receive index data sent by the base station under the optimization parameter configuration table;
and the judging module is used for judging whether the index data of the receiving module in the optimized parameter configuration table is larger than a preset index data threshold value or not, and if so, the optimization of the wireless parameters is completed.
8. A wireless parameter optimization system, comprising: a base station and the wireless parameter optimization apparatus of claim 7;
the base station is used for receiving a configuration data request sent by the wireless parameter optimization device; periodically sending a first parameter configuration table comprising parameter data and index data in the current operation state to the wireless parameter optimization device; receiving an optimization parameter configuration table;
the base station is further configured to perform authentication according to a subscription instruction carried in the configuration data request after receiving the configuration data request, and send notification information to the wireless parameter optimization device when the authentication is successful; wherein the notification information is used to indicate that the base station has responded to the configuration data request;
the base station is further configured to, after responding to the configuration data request, correspondingly record the parameter data requested by the configuration data request in a parameter configuration table according to the arrangement order of the parameter names corresponding to the parameter data, and generate a first parameter configuration table.
9. A wireless parameter optimization device, comprising: at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program, to perform the method of any of claims 1 to 6.
10. Computer readable medium, characterized in that it has stored thereon computer instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 6.
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