CN112153664A - Parameter optimization method, device, base station, server and storage medium - Google Patents
Parameter optimization method, device, base station, server and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1825—Adaptation of specific ARQ protocol parameters according to transmission conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1829—Arrangements specially adapted for the receiver end
- H04L1/1848—Time-out mechanisms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1867—Arrangements specially adapted for the transmitter end
- H04L1/188—Time-out mechanisms
Abstract
The embodiment of the invention provides a parameter optimization method, a device, a base station, a server and a storage medium, wherein a system operation log of the base station is collected, and a target wireless parameter of the base station is optimized according to the system operation log.
Description
Technical Field
The embodiments of the present invention relate to, but are not limited to, the field of wireless communications, and in particular, but not limited to, a parameter optimization method, apparatus, base station, server, and storage medium.
Background
With the continuous development of communication technology, the information transmission rate is faster and faster, and the data throughput rate is higher and higher, so that convenience is provided for users.
In order to cope with different network environments, radio parameters in wireless communication need to be optimized in time according to the current network state to ensure the communication quality. However, in the related art, in the process of optimizing the wireless parameters according to KPI (Key Performance Indicator) data, there is usually a large time delay, and the wireless parameters cannot be optimized in time according to the network state, so that a series of problems such as network congestion, an increase in bit error rate, a decrease in data throughput rate, and the like are caused, and the communication quality is reduced.
Disclosure of Invention
The parameter optimization method, the device, the base station, the server and the storage medium provided by the embodiment of the invention mainly solve the technical problem that the communication quality is reduced due to the larger time delay in the wireless parameter optimization process.
To solve the above technical problem, an embodiment of the present invention provides a parameter optimization method, including:
collecting system operation logs of a base station;
optimizing the target wireless parameters of the base station according to the system operation log
An embodiment of the present invention further provides a parameter optimization apparatus, including: a collection module and an optimization module, wherein the collection module and the optimization module are connected in series,
the collection module is used for collecting the system operation log of the base station;
and the optimization module is used for optimizing the target wireless parameters of the base station according to the system operation log.
An embodiment of the present invention further provides a base station, including: the system comprises a first processor, a first memory and a first communication bus;
the first communication bus is used for realizing connection communication between the first processor and the first memory;
the first processor is configured to execute one or more computer programs stored in the first memory to implement the steps of the parameter optimization method described above.
An embodiment of the present invention further provides a server, including: the second processor, the second memory and the second communication bus;
the second communication bus is used for realizing connection communication between the second processor and the second memory;
the second processor is configured to execute one or more computer programs stored in the second memory to implement the steps of the parameter optimization method described above.
Embodiments of the present invention also provide a storage medium, where one or more computer programs are stored, and the one or more computer programs may be executed by one or more processors to implement the steps of the parameter optimization method.
The invention has the beneficial effects that:
according to the parameter optimization method, the device, the base station, the server and the storage medium provided by the embodiment of the invention, the system operation log of the base station is collected, and the target wireless parameters of the base station are optimized according to the system operation log.
Additional features and corresponding advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flowchart of a parameter optimization method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating parameter optimization based on index data according to a first embodiment of the present invention;
FIG. 3 is a flowchart of a parameter optimization method according to a second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a reordering timer duration optimization according to a second embodiment of the present invention;
FIG. 5 is a flowchart of a parameter optimization method according to a third embodiment of the present invention;
fig. 6 is a flowchart of optimizing the duration of a poll retransmission timer according to a third embodiment of the present invention;
fig. 7 is a schematic structural diagram of a parameter optimization apparatus according to a fourth embodiment of the present invention.
Fig. 8 is a schematic structural diagram of a base station according to a fifth embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a server according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The first embodiment is as follows:
in the related art, when optimizing the radio parameters according to the current network state, the radio parameters are generally optimized based on cell KPI data by acquiring the cell KPI data. However, KPI data acquisition has a large delay and requires intervention of operation and maintenance personnel, so that there is a large time delay in optimization of wireless parameters, and the wireless parameters cannot be adjusted quickly, which causes problems such as increase of error rate, reduction of data throughput, increase of power consumption, network congestion and the like in the case of a change of a service scene or a change of a wireless environment, and reduces communication quality. In order to solve the problem, an embodiment of the present invention provides a parameter optimization method, please refer to fig. 1, where the parameter optimization method includes:
s101, collecting a system operation log of the base station.
In the embodiment of the invention, the system operation log is an operation log generated in the operation process of the base station, wherein the system operation log comprises service flow information and the like.
And S102, optimizing the target wireless parameters of the base station according to the system operation log.
In the embodiment of the present invention, the target wireless parameters of the base station are optimized according to the collected system operation logs, where the target wireless parameters may be any wireless parameters of the base station, for example, related control parameters transmitted by the base station to the terminal. For example, the target radio parameter may be at least one of radio communication parameters such as the number of repetitions of the air interface, the duration of a reordering timer, the duration of a poll retransmission timer, and the like. It should be understood that, as for the number of repetition times of the air interface, which is the number of repeated transmission of data, the more the number of repetition times of the air interface, the stronger the coverage capability. For the duration of the reordering timer, in 2HARQ (Hybrid Automatic Repeat reQuest), the inconsistency of the air interface environments of the two paths may cause that a message arriving at an RLC (Radio Link Control) layer is out of order or a message is lost, so that the reordering timer is introduced to wait for the out of order message to arrive, and unnecessary retransmission is triggered by reducing a status report. For the duration of the polling retransmission timer, after the sending end sends the polling request, a retransmission timer is set, and if the status report of the receiving end is still not received after the duration of the polling retransmission timer is exceeded, the polling request needs to be retransmitted; if the sender receives the corresponding status report from the receiver during the time that the timer has not expired, whether Ack (Acknowledgement) or Nack (Negative Acknowledgement) indicates that the receiver has received the polling request, the retransmission timer is turned off.
In the embodiment of the invention, some wireless networks support terminals with different coverage grades, and the corresponding communication requirements of the terminals with different coverage grades are different. Therefore, when the target wireless parameters of the base station are optimized according to the system operation log, the service flow information of each coverage grade can be extracted from the system operation log, and the target wireless parameters corresponding to each coverage grade of the base station are optimized based on the service flow information of each coverage grade. For example, for NB-IoT (Narrow Band Internet of Things), terminals supporting three coverage classes are respectively coverage class 0, coverage class 1, and coverage class 2, and for the number of repetition of the air interface of coverage class 0, the number of repetition of the air interface is optimized according to the service flow information of coverage class 0, for the number of repetition of the air interface of coverage class 1, the number of repetition of the air interface is optimized according to the service flow information of coverage class 1, and for the number of repetition of the air interface of coverage class 2, the number of repetition of the air interface is optimized according to the service flow information of coverage class 2.
In the embodiment of the present invention, when optimizing the target wireless parameters of the base station according to the system operation log, as shown in fig. 2, the method may include the following steps:
s201, extracting index data related to the target wireless parameters from the service process information in the system operation log.
In the embodiment of the invention, the system operation log comprises service flow information, and the service flow information comprises index data related to target transmission. Wherein the target transmission related metric data may be data affected by the target radio parameters. For example, the index data related to the number of repetitions of the air interface includes an error rate, etc., where the error rate may be affected by the number of repetitions of the air interface; index data related to the time length of the reordering timer comprises at least one of the parameters of the time length of the arrival of the disordered messages, the repeated receiving times of the messages and the like; the index data related to the duration of the poll retransmission timer comprises at least one of the parameters of time used for polling transmission and status report reply, the repeated receiving times of the status report and the like.
S201, optimizing the target wireless parameters of the base station based on the index data related to the target wireless parameters.
In the embodiment of the invention, the limit value of each index data can be preset, and then when the target wireless parameters of the base station are optimized based on the index data related to the target wireless parameters, the wireless target parameters of the base station are optimized based on the index data related to the target wireless parameters in the system operation log and the limit value corresponding to the index data. When the target wireless parameter value is judged to be higher based on the index data related to the target wireless parameter in the system operation log and the limit value corresponding to the index data, the value of the target wireless parameter is reduced, and when the target wireless parameter value is judged to be lower based on the index data related to the target wireless parameter in the system operation log and the limit value corresponding to the index data, the value of the target wireless parameter is improved. For example, assuming that the target wireless parameter is the number of repetitions of the air interface, index data related to the number of repetitions of the air interface is an error rate, and a maximum error rate limit value is preset, and if the error rate in a system operation log is lower than the maximum error rate limit value, it indicates that the current error rate is low and meets communication requirements, so that it is determined that the number of repetitions of the air interface is high, and the number of repetitions of the air interface is reduced; if the error rate in the system operation log is higher than the maximum limit value of the error rate, the current error rate is indicated to be higher and cannot meet the communication requirement, so that the number of the repeated times of the air interface is judged to be lower, and the number of the repeated times of the air interface is increased to reduce the error rate. The specific value of the limiting value can be flexibly set according to actual needs.
In the embodiment of the present invention, the range of each index data may be preset, and then when the target wireless parameter of the base station is optimized based on the index data related to the target wireless parameter, the wireless target parameter of the base station may be optimized based on the index data related to the target wireless parameter in the system operation log and the range corresponding to the index data. When index data related to target transmission in a system operation log is in a preset range of the index data, maintaining target wireless parameters; and when the index data related to the target transmission in the system operation log is out of the preset range of the index data, optimizing the target wireless parameters, wherein the specific process of the optimization can be determined according to the index data and the target wireless parameters. For example, assuming that the target radio parameter is the duration of the poll retransmission timer, the index data related to the target radio parameter is the number of repeated receptions of the status report, and the range of the preset number of repeated receptions of the status report is [ a, B ], where B > a, and assuming that the number of repeated receptions of the status report in the system operation log is [ a, B ], the duration of the poll retransmission timer is maintained; if the repeated receiving times of the status report in the system operation log are less than A, the longer time of the polling retransmission timer is represented, so the time of the polling retransmission timer is reduced; if the repeated receiving times of the status report in the system operation log are more than B, the representation polling retransmission timer is shorter in time length, and therefore, the time length of the polling retransmission timer is increased.
In the embodiment of the present invention, when the target wireless parameter of the base station is optimized based on the index data related to the target wireless parameter, the target wireless parameter of the base station may be optimized based on the variation trend of the index data related to the target wireless parameter. The target wireless parameters of the base station can be optimized according to the change trend of the index data. For example, assuming that the target wireless parameter is the time length of the reordering timer, and the index data related to the target wireless parameter is the maximum time length of the arrival of the out-of-order message, if the maximum time length of the arrival of the out-of-order message in the system operation log obtained this time is greater than the maximum time length obtained by the out-of-order message obtained before, it indicates that the maximum time length of the arrival of the out-of-order message is in an increasing trend, and therefore, the time length of the reordering timer is increased; if the maximum time of arrival of the out-of-order message in the system running log obtained at this time is less than the maximum time of arrival of the out-of-order message obtained before, it is indicated that the maximum time of arrival of the out-of-order message is in a decreasing trend, and therefore the time of the reordering timer is reduced.
In this embodiment, after the target wireless parameters of the base station are optimized according to the system operation log, the system operation log of the base station may be collected again after a preset time period, and the target wireless parameters of the base station are optimized according to the collected system operation log again, and this is performed cyclically. That is to say, the target wireless parameters are optimized at intervals of a preset time period, so that the wireless parameters can be timely optimized, and resource waste caused by frequent optimization is avoided. The preset time period can be flexibly set according to actual needs.
In the embodiment of the invention, after the target wireless parameters of the base station are optimized according to the system operation log, if the optimized wireless parameters are also required to be set on the terminal side, the optimized wireless parameters can be sent to the terminal, so that the terminal can communicate according to the optimized wireless parameters. For example, the duration of the poll retransmission timer also needs to be set on the terminal side, so after the duration of the poll retransmission timer of the base station is optimized, the optimized duration of the poll retransmission timer can be sent to the terminal, so that the terminal performs communication based on the optimized duration of the poll retransmission timer.
It should be noted that the parameter optimization method provided by the embodiment of the present invention may be applied to at least one of the following wireless networks: internet of things, wireless networks based on long term evolution LTE, wireless networks based on GSM, wireless networks based on code division multiple access CDMA, wireless networks based on fifth generation mobile communication technology, etc. The Internet of things includes but is not limited to NB-IoT.
In the embodiment of the invention, all the steps of the parameter optimization method can be executed by the base station, namely the base station collects the system operation logs of the base station and optimizes the target wireless parameters of the base station according to the system operation logs, so that the operation logs can be quickly collected, the system operation condition can be self-diagnosed and the parameters can be quickly adjusted.
In the embodiment of the present invention, all the steps of the parameter optimization method may also be executed by the server, that is, the server collects a system operation log of the base station, and optimizes the target wireless parameters of the base station according to the system operation log. Thus, the base station load can be reduced, and centralized management can be realized. When the server optimizes the target wireless parameters of the base station according to the system operation log, the server optimizes the values of the target wireless parameters based on the system operation log and sends the optimized values of the target wireless parameters to the base station, so that the base station can communicate based on the optimized values of the target wireless parameters. The server may be an OMC (Operation Maintenance Center) server.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in some implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely sensed based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
Example two:
in order to better understand the parameter optimization method in the first embodiment, the present embodiment is described with reference to a more specific example.
Referring to fig. 3, the parameter optimization method includes:
s301, the base station acquires a system operation log.
In this embodiment, in the communication process of the base station, the service unit generates a system operation log, where the system operation log is information of a real-time service scene, and the base station obtains the generated system operation log.
S302, the base station extracts the service flow information of each coverage grade from the system operation log.
In the wireless communication system, different coverage levels are supported, and for different coverage levels, requirements on communication performance are different, so in this embodiment, the base station extracts service flow information of each coverage level from a system operation log, so that target wireless parameters of the coverage level are optimized based on the service flow information of different coverage levels in the following.
S303, the base station extracts index data related to the target wireless parameters from the service flow information of each coverage grade.
And after the service process information of each coverage level is extracted, extracting index data related to the target wireless parameters from the service process information of each coverage level. And the target wireless parameters can be flexibly set according to actual needs.
S304, the base station optimizes the target wireless parameters of each coverage grade based on the index data related to the target wireless parameters of each coverage grade.
After the index data related to the target wireless parameters of each coverage level is extracted, the target wireless parameters of the corresponding coverage level are optimized based on the index data of each coverage level. For example, assuming that the wireless communication system supports three coverage levels, namely, a coverage level 0, a coverage level 1 and a coverage level 2, the service flow information of the coverage level 0, the coverage level 1 and the coverage level 2 is extracted from the system operation log, the index data related to the target wireless parameter is extracted from the service flow information of the coverage level 0, the coverage level 1 and the coverage level 2, the target wireless parameter of the coverage level 0 is optimized based on the index data related to the target wireless parameter corresponding to the coverage level 0, the target wireless parameter of the coverage level 1 is optimized based on the index data related to the target wireless parameter corresponding to the coverage level 1, and the target wireless parameter of the coverage level 2 is optimized based on the index data related to the target wireless parameter corresponding to the coverage level 2.
When the target wireless parameter is optimized based on the index data related to the target wireless parameter, the target wireless parameter can be optimized based on the index data related to the target wireless parameter and a preset limit value of the index data; and/or optimizing the target wireless parameter based on a trend of change of the index data related to the target wireless parameter. When determining the variation trend of the index data related to the target wireless parameter, since the parameter optimization method of the embodiment is cyclic, the variation trend of the index data can be determined based on the index data acquired in the current parameter optimization process and the index data acquired in the last parameter optimization process.
In this embodiment, if the optimized target wireless parameters also need to be set at the terminal side, the base station may send the optimized target wireless parameters to the terminal, so that the terminal optimizes the target wireless parameters.
S305, the base station operates for a preset time period based on the optimized target wireless parameters.
And after the base station operates for a preset time period based on the optimized target wireless parameters, the base station switches to S301 to optimize the target wireless parameters in the next round. The preset time period can be flexibly set according to actual needs. The preset time period can be adjusted according to the network state change condition. For example, if the current network state is relatively stable, the preset time period may be lengthened in order to save resources; if the current network state changes frequently, the preset time period can be shortened, and wireless communication parameters can be optimized in time to adapt to various network environments.
In order to better understand the parameter optimization method in the present embodiment, an example is described here.
For NB-IoT, the NB-IoT R14 protocol introduces 2HARQ function, and the inconsistency of the air interface environments of the two paths may cause the messages arriving at the RLC layer to be out of order or to be lost. The protocol introduces a reordering timer for waiting for out-of-order message arrival to reduce unnecessary retransmission triggered by status report. The long time of the timer can cause that the lost message can not be retransmitted in time, so that the data response speed is reduced, the short time can cause that the message waiting for reordering is mistakenly lost, the receiving end sends a status report to the sending end to request for retransmitting the message, so that the message is repeatedly sent, and the throughput rate of empty data is reduced. Therefore, in order to match the reordering timer duration with the current network state, the reordering timer duration is set as a target wireless parameter, and the index data related to the target wireless parameter is the message repeated receiving times and the maximum arrival duration of the out-of-order message. Referring to fig. 4, the optimization procedure of the reordering timer duration is as follows:
s401, the base station collects system operation logs.
S402, the base station extracts the service flow information of each coverage grade from the system operation log.
Since the NB-IoT system supports 3 different coverage classes, namely, a coverage class 0 and a coverage class 1 and a coverage class 2, service flow information corresponding to the coverage class 0, service flow information corresponding to the coverage class 1, and service flow information corresponding to the coverage class 2 are extracted from the system operation log.
S403, the base station extracts the repeated receiving times of the messages of each coverage level and the maximum time of the arrival of the disordered messages from the service flow information of each coverage level.
Extracting the repeated receiving times of the messages and the maximum time of the arrival of the disordered messages from the service flow information corresponding to the coverage level 0; extracting the repeated receiving times of the messages and the maximum time of the arrival of the disordered messages from the service flow information corresponding to the coverage level 1; and extracting the repeated receiving times of the messages and the maximum time of the arrival of the disordered messages from the service flow information corresponding to the coverage level 2.
S404, the base station compares the extracted message repeated receiving times corresponding to each coverage grade with a preset message repeated receiving time limit value corresponding to the coverage grade, and modifies the time length of a reordering timer of each coverage grade by combining the variation trend of the maximum time length of the arrival of the disordered messages.
The base station is preset with limit value of the repeated receiving times of the message of each coverage grade.
When the reordering timer time length of the coverage level 0 is modified, the base station compares the repeated receiving times of the messages of the coverage level 0 extracted from the system operation log with the limited value of the repeated receiving times of the messages corresponding to the preset coverage level 0, and determines the variation trend of the maximum reaching time length of the disordered messages of the coverage level 0 based on the maximum reaching time length of the disordered messages of the coverage level 0 acquired at this time and the maximum reaching time length of the disordered messages of the coverage level 0 acquired in the time length optimization process of the reordering timer at the last time. If the repeated receiving times of the messages covering the level 0 are lower than the preset limited value of the repeated receiving times of the messages corresponding to the covering level 0, or the maximum time length of the arrival of the disordered messages covering the level 0 is reduced, the time length of a reordering timer covering the level 0 is reduced; if the repeated receiving times of the messages covering the level 0 are higher than the preset limited value of the repeated receiving times of the messages corresponding to the coverage level 0, or the maximum time length of the arrival of the disordered messages covering the level 0 is increased, the time length of a reordering timer covering the level 0 is increased
For modifying the duration of the reordering timer covering level 1 and modifying the duration of the reordering timer covering level 2, please refer to the modification manner of the duration of the reordering timer covering level 0, which is not described herein again.
S405, the base station operates a preset time period based on the modified reordering timer duration of each coverage grade.
After running for a preset time period, go to S401.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in some implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely sensed based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
Example three:
in order to better understand the parameter optimization method in the first embodiment, the present embodiment is described with reference to a more specific example.
Referring to fig. 5, the parameter optimization method includes:
s501, OMC collects system operation logs of the base station.
In this embodiment, in the communication process of the base station, the service unit generates a system operation log, where the system operation log is information of a real-time service scene. And after generating a system operation log, the base station sends the system operation log to the OMC.
And S502, the OMC extracts the service flow information of each coverage grade from the system operation log.
In the wireless communication system, different coverage grades are supported, and for different coverage grades, requirements on communication performance are different, so in this embodiment, the OMC extracts service flow information of each coverage grade from a system operation log of the base station, so that target wireless parameters of the coverage grade are optimized based on the service flow information of different coverage grades in the following.
S503, OMC extracts index data related to the target wireless parameter from the service flow information of each coverage class.
After extracting the service flow information of each coverage grade, the OMC extracts index data related to the target wireless parameters from the service flow information of each coverage grade. And the target wireless parameters can be flexibly set according to actual needs.
S504, the OMC optimizes the target radio parameter for each coverage class based on the index data related to the target radio parameter for each coverage class.
And after extracting the index data related to the target wireless parameters of each coverage grade, the OMC optimizes the target wireless parameters of the corresponding coverage grade based on the index data of each coverage grade, and sends the optimized target wireless parameters of each coverage grade to the base station so that the base station performs communication based on the optimized target wireless parameters.
When the target wireless parameter is optimized based on the index data related to the target wireless parameter, the target wireless parameter can be optimized based on the index data related to the target wireless parameter and a preset limit value of the index data; and/or optimizing the target wireless parameter based on a trend of change of the index data related to the target wireless parameter. When determining the variation trend of the index data related to the target wireless parameter, since the parameter optimization method of the embodiment is cyclic, the variation trend of the index data can be determined based on the index data acquired in the current parameter optimization process and the index data acquired in the last parameter optimization process.
In this embodiment, if the optimized target wireless parameters also need to be set at the terminal side, the OMC may send the optimized target wireless parameters of each coverage level to the corresponding terminal, so that the terminal optimizes the target wireless parameters, or after receiving the optimized target wireless parameters of each coverage level, the base station sends the optimized target wireless parameters of each coverage level to the corresponding terminal, so that the terminal optimizes the target wireless parameters.
And S505, running the OMC for a preset time period.
And the OMC operates for a preset time period after sending the optimized target parameters to the base station, and then switches to S501 to optimize the next round of target wireless parameters. The preset time period can be flexibly set according to actual needs. The preset time period can be adjusted according to the network state change condition. For example, if the current network state is relatively stable, the preset time period may be lengthened in order to save resources; if the current network state changes frequently, the preset time period can be shortened, and wireless communication parameters can be optimized in time to adapt to various network environments.
In order to better understand the parameter optimization method in the present embodiment, an example is described here.
For NB-IoT, after a sending end sends a polling request to a receiving end, a retransmission timer is set, and if the state report of the receiving end is still not received after the timeout, the polling request needs to be retransmitted; if the sender receives the corresponding status report from the receiver during the time that the timer has not expired, whether Ack (Acknowledgement) or Nack (Negative Acknowledgement) indicates that the receiver has received the polling request, the retransmission timer is turned off. The duration of the polling retransmission timers with different coverage levels is guaranteed to be slightly longer than the maximum time used for polling transmission and status report reply of the coverage level, and is smaller than the condition that the status report is still transmitted in the transmission process but the transmission end mistakenly considers that the polling request is transmitted unsuccessfully, so that the polling request is transmitted again, the transmission end repeatedly replies the status report, the throughput rate of air interface data is reduced, the polling request which is transmitted unsuccessfully cannot be retransmitted in time due to overlarge polling requests, and the data response speed is reduced. Therefore, in order to match the poll retransmission timer duration with the current network status, the poll retransmission timer duration is set as a target radio parameter, and index data related to the target radio parameter are the number of times status report is repeatedly received and the poll transmission and status report reception time. Referring to fig. 6, the optimization procedure of the duration of the poll retransmission timer is as follows:
s601, OMC collects the system operation log of the base station.
And S602, the OMC extracts the service flow information of each coverage grade from the system operation log.
Since the NB-IoT system supports 3 different coverage classes, namely, a coverage class 0 and a coverage class 1 and a coverage class 2, the OMC extracts service flow information corresponding to the coverage class 0, service flow information corresponding to the coverage class 1, and service flow information corresponding to the coverage class 2 from the system operation log, respectively.
S603 and OMC extract the number of times of repeatedly receiving the status report and the polling transmission and status report receiving time of each coverage level from the service flow information of each coverage level.
Extracting the repeated receiving times (assumed as n0) of the status report and the polling transmission and status report receiving time (assumed as t1-0) from the service flow information corresponding to the coverage level 0; extracting the repeated receiving times (assumed as n1) of the status report and the polling transmission and status report receiving time (assumed as t1-1) from the service flow information corresponding to the coverage level 1; the number of repeated reception of the status report (assumed to be n2) and the polling transmission and status report reception time (assumed to be t1-2) are extracted from the traffic information corresponding to the coverage level 2.
S604, OMC compares the repeated receiving times of the extracted status report corresponding to each coverage grade with the preset limited value of the repeated receiving times of the status report corresponding to the coverage grade, and modifies the time length of the polling retransmission timer of each coverage grade by combining the change trend of the polling sending time and the status report receiving time.
The OMC is preset with the limit value of the repeated receiving times of the status report of each coverage grade. Assume that the limited number of duplicate receptions of status report covering level 0 is N0, the limited number of duplicate receptions of status report covering level 1 is N1, and the limited number of duplicate receptions of status report covering level 2 is N2. The change trend of the polling sending and status report receiving time is determined based on the polling sending and status report receiving time obtained at this time and the polling sending and status report receiving time obtained in the last time of the time length optimization process of the polling retransmission timer.
When the duration of the poll retransmission timer covering the level 0 is modified, the OMC compares N0 with N0, and determines the variation trend of the polling transmission and status report receiving time covering the level 0 based on t1-0 and t0-0(t0-0 is the polling transmission and status report receiving time covering the level 0 acquired in the last optimization process of the duration of the poll retransmission timer covering the level 0). If N0< N0, or t1-0< t0-0 (i.e., the poll transmit and status report receive time is decreased), then decrease the poll retransmit timer duration covering level 0; if N0> N0, or t1-0> t0-0 (i.e., poll transmit and status report receive time increases), then the poll retransmit timer duration covering level 0 is increased.
For modifying the duration of the poll retransmission timer covering level 1, please refer to the modification manner of the duration of the poll retransmission timer covering level 0, and modify the duration of the poll retransmission timer covering level 1 based on N1, N1, t1-1, and t0-1(t0-1 is the polling transmission and status report receiving time of covering level 1 obtained in the last time of optimizing the duration of the poll retransmission timer).
For modifying the duration of the poll retransmission timer covering level 2, please refer to the modification manner of the duration of the poll retransmission timer covering level 0, and modify the duration of the poll retransmission timer covering level 2 based on N2, N2, t1-2, and t0-2(t0-2 is the polling transmission and status report receiving time of covering level 2 obtained in the last time of optimizing the duration of the poll retransmission timer covering level 2).
And S605 and OMC send the optimized time length of the polling retransmission timer of each coverage grade to the base station and operate for a preset time period.
After a preset time period, go to S601.
According to the parameter optimization method provided by the embodiment of the invention, the system operation log of the base station is collected, the target wireless parameters of the base station are optimized according to the system operation log, and in some implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely sensed based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
Example four:
the embodiment of the invention provides a parameter optimization device on the basis of the first, second and third embodiments, wherein the device can be a base station or an OMC server. The apparatus is configured to implement the parameter optimization method according to at least one of the first, second, and third embodiments, please refer to fig. 7, where the parameter optimization apparatus includes a collection module 701 and an optimization module 702, where the collection module 701 is configured to collect a system operation log of a base station; and an optimizing module 702, configured to optimize the target wireless parameters of the base station according to the system operation log.
The optimization module 702 is further configured to extract service flow information of each coverage level from the system operation log; and optimizing target wireless parameters related to each coverage grade of the base station based on the service flow information of each coverage grade.
The optimization module 702 is further configured to extract index data related to the target wireless parameter from the service flow information in the system operation log; the target wireless parameters of the base station are optimized based on the indicator data related to the target wireless parameters. The target wireless parameters include, but are not limited to, at least one of the number of repetitions of the air interface, the duration of a reordering timer, the duration of a polling retransmission timer, and the like, the index data related to the number of repetitions of the air interface includes an error rate, and the like, the index data related to the duration of the reordering timer includes at least one of the arrival duration of a disordered packet, the number of times of repeated reception of a packet, and the index data related to the duration of the polling retransmission timer includes at least one of the time used for polling transmission and status report reply, the number of times of repeated reception of a status report, and the like. In this embodiment, the target wireless parameters of the base station may be optimized based on the index data related to the target wireless parameters and a preset limit value of the index data; the target wireless parameters of the base station can also be optimized based on the index data related to the target wireless parameters and the preset range of the index data, and the target wireless parameters are kept when the index data related to the target wireless parameters are in the preset range of the index data; and optimizing the target wireless parameters when the index data related to the target wireless parameters exceeds the preset range of the index data. The target wireless parameter of the base station can be optimized according to the change trend of the index data.
After the target wireless parameters are optimized, the optimization module 702 of the parameter optimization device runs for a preset time period, collects the system running logs of the base station again through the collection module 701, starts a new parameter optimization process, and circulates according to the process.
The parameter optimization device provided by the embodiment of the invention can be applied to at least one of the following wireless networks: the system comprises the Internet of things, a wireless network based on Long Term Evolution (LTE), a wireless network based on global system for mobile communications (GSM), a wireless network based on Code Division Multiple Access (CDMA) and a wireless network based on a fifth-generation mobile communication technology, wherein the Internet of things comprises a narrowband Internet of things (NB-IoT) and the like.
In embodiments of the present invention, the collecting may be implemented by a processor or other hardware unit, and the optimizing module 702 may be implemented by a processor or other hardware unit.
The parameter optimization device provided by the embodiment of the invention optimizes the target wireless parameters of the base station according to the system operation log by collecting the system operation log of the base station, and in some implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely sensed based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
EXAMPLE five
The present embodiment further provides a base station, as shown in fig. 8, which includes a first processor 801, a first memory 802, and a first communication bus 803, wherein:
the first communication bus 803 is used to realize connection communication between the first processor 801 and the first memory 802;
the first processor 801 is configured to execute one or more computer programs stored in the first memory 802 to implement at least one step of the parameter optimization method in the first embodiment, the second embodiment, and the third embodiment.
The present embodiment further provides a server, as shown in fig. 9, which includes a second processor 901, a second memory 902, and a second communication bus 903, where:
the second communication bus 903 is used for realizing connection communication between the second processor 901 and the second memory 902;
the second processor 901 is configured to execute one or more computer programs stored in the second memory 902 to implement at least one step of the parameter optimization method in the first embodiment, the second embodiment and the third embodiment. Wherein the server may be an OMC server.
The present embodiments also provide a storage medium including volatile or nonvolatile, removable or non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, computer program modules or other data. Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact disk Read-Only Memory), Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
The storage medium in this embodiment may be used to store one or more computer programs, and the stored one or more computer programs may be executed by the processor to implement at least one step of the parameter optimization method in the first embodiment, the second embodiment, and the third embodiment.
The base station, the server and the storage medium provided by the embodiment of the invention optimize the target wireless parameters of the base station according to the system operation log by collecting the system operation log of the base station, and in some implementation processes, the system operation log is information of a real-time service scene, so that the current network state can be timely sensed based on the system operation log, and the wireless parameters are optimized, thereby shortening the time delay of wireless parameter optimization and improving the communication quality.
It will be apparent to those skilled in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software (which may be implemented in computer program code executable by a computing device), firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit.
In addition, communication media typically embodies computer readable instructions, data structures, computer program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to one of ordinary skill in the art. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a more detailed description of embodiments of the present invention, and the present invention is not to be considered limited to such descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (14)
1. A method of parameter optimization, comprising:
collecting system operation logs of a base station;
and optimizing the target wireless parameters of the base station according to the system operation log.
2. The parameter optimization method of claim 1, wherein the parameter optimization method is applied to at least one of the following wireless networks: the wireless network comprises the Internet of things, a wireless network based on Long Term Evolution (LTE), a wireless network based on global system for mobile communications (GSM), a wireless network based on Code Division Multiple Access (CDMA) and a wireless network based on a fifth generation mobile communication technology, wherein the Internet of things comprises a narrowband Internet of things (NB-IoT).
3. The parameter optimization method of claim 1, wherein the optimizing the target wireless parameters of the base station according to the system operation log comprises:
extracting index data related to the target wireless parameters from the service process information in the system operation log;
optimizing the target wireless parameter of the base station based on the indicator data related to the target wireless parameter.
4. The parameter optimization method of claim 3, wherein the optimizing the target wireless parameter of the base station based on the indicator data related to the target wireless parameter comprises:
and optimizing the target wireless parameters of the base station based on the index data related to the target wireless parameters and a preset limit value of the index data.
5. The parameter optimization method according to claim 3, wherein the target wireless parameter includes at least one of an air interface repetition number, a reordering timer duration, and a polling retransmission timer duration, the index data related to the air interface repetition number includes an error rate, the index data related to the reordering timer duration includes at least one of a duration of arrival of a disordered packet and a number of repeated reception of a packet, and the index data related to the polling retransmission timer duration includes at least one of a time used for polling transmission and status report reply, and a number of repeated reception of a status report.
6. The parameter optimization method of claim 3, wherein the optimizing the target wireless parameter of the base station based on the indicator data related to the target wireless parameter comprises:
when index data related to the target wireless parameters is in a preset range of the index data, maintaining the target wireless parameters;
and optimizing the target wireless parameters when the index data related to the target wireless parameters exceeds the preset range of the index data.
7. The parameter optimization method of claim 3, wherein the optimizing the target wireless parameter of the base station based on the indicator data related to the target wireless parameter comprises:
and determining the change trend of the index data based on the index data related to the target wireless parameter acquired at this time and the index data related to the target wireless parameter acquired before, and optimizing the target wireless parameter of the base station according to the change trend of the index data.
8. The parameter optimization method of claim 1, wherein after optimizing the target wireless parameters of the base station according to the system operation log, the method further comprises:
after a preset time period, re-collecting the system operation log of the base station;
and optimizing the target wireless parameters of the base station according to the collected system operation logs again, and circulating the steps.
9. The parameter optimization method of any of claims 1-8, wherein the optimizing the target wireless parameters of the base station according to the system operation log comprises:
extracting service flow information of each coverage grade from the system operation log;
and optimizing target wireless parameters corresponding to each coverage grade of the base station based on the service flow information of each coverage grade.
10. A parameter optimization apparatus, comprising: a collection module and an optimization module, wherein the collection module and the optimization module are connected in series,
the collection module is used for collecting the system operation log of the base station;
and the optimization module is used for optimizing the target wireless parameters of the base station according to the system operation log.
11. The parameter optimization device of claim 10, wherein the parameter optimization device is a base station or a server.
12. A base station, comprising: the system comprises a first processor, a first memory and a first communication bus;
the first communication bus is used for realizing connection communication between the first processor and the first memory;
the first processor is configured to execute one or more computer programs stored in the first memory to implement the steps of the parameter optimization method of any one of claims 1 to 9.
13. A server, comprising: the second processor, the second memory and the second communication bus;
the second communication bus is used for realizing connection communication between the second processor and the second memory;
the second processor is configured to execute one or more computer programs stored in the second memory to implement the steps of the parameter optimization method according to any one of claims 1 to 9.
14. A storage medium storing one or more computer programs executable by one or more processors to implement the steps of the parameter optimization method according to any one of claims 1 to 9.
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| KR1020227001616A KR20220024642A (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method, apparatus, base station, server and storage medium |
| PCT/CN2020/095116 WO2020259277A1 (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method and apparatus, base station, server and storage medium |
| JP2021576802A JP7327738B2 (en) | 2019-06-26 | 2020-06-09 | Parameter optimization method, device, base station, server, and storage medium |
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