JP2022539723A - Parameter optimization method, device, base station, server, and storage medium - Google Patents

Abstract

A parameter optimization method, apparatus, base station, server and storage medium are provided. A system operation log of a base station is collected, and target radio parameters of the base station are optimized according to the system operation log. [Selection drawing] Fig. 1

Description

Cross-reference to related applications

This application is filed based on, and claims priority to, a Chinese patent application with filing number 201910563855.8 and filing date of June 26, 2019, and the Chinese patent The entire disclosure of the application is incorporated into this application by reference.

The present application relates to the field of wireless communications, but not exclusively, and in particular, but not exclusively, to parameter optimization methods, devices, base stations, servers and storage media.

With the continuous development of communication technology, the information transmission speed is getting faster and the data throughput rate is getting higher and higher, which brings convenience to users.

In order to cope with different network environments, it is necessary to ensure communication quality by timely optimizing radio parameters during radio communication according to current network conditions. However, in the related art, there is generally a large latency (time delay) in the process of optimizing radio parameters based on KPI (Key Performance Indicator) data, and radio parameters are optimized according to network conditions. cannot be optimized early, leading to a series of problems such as network congestion, increased bit error rate, decreased data throughput rate, etc., resulting in poor communication quality.

Embodiments of the present application provide parameter optimization methods, devices, base stations, servers and storage media.

To solve the above problems, an embodiment of the present application includes collecting a system operation log of a base station, and optimizing a target radio parameter of the base station according to the system operation log. Provide an optimization method.

Embodiments of the present application further comprise a collection module for collecting system operation logs of a base station, and an optimization module for optimizing target radio parameters of the base station according to the system operation logs. A parameter optimization device is provided.

Embodiments of the present application further provide a base station, the base station comprising a first processor, a first memory, and a first communication bus, the first communication bus connecting the first processor and the first memory. The first processor executes one or more computer programs stored in the first memory to implement the steps of the parameter optimization method. do.

Embodiments of the present application further provide a server, the server comprising a second processor, a second memory, and a second communication bus, the second communication bus between the second processor and the second memory. The second processor executes one or more computer programs stored in the second memory to implement the steps of the parameter optimization method.

Embodiments of the present application further provide a storage medium storing one or more computer programs executable by one or more processors to implement the steps of the parameter optimization method.

Other features and corresponding advantages of the present application are set forth later in the specification, and it should be understood that at least some of the advantages will be apparent from the description herein.

FIG. 1 is a flowchart of a parameter optimization method in Example 1 of the present application. FIG. 2 is a parameter optimization flowchart based on index data in Example 1 of the present application. FIG. 3 is a flow chart of a parameter optimization method in Example 2 of the present application. FIG. 4 is a flowchart for optimizing the duration of the reordering timer in Example 2 of the present application. FIG. 5 is a flow chart of a parameter optimization method in Example 3 of the present application. FIG. 6 is a flow chart of optimizing the duration of the polling retransmission timer in Embodiment 3 of the present application. FIG. 7 is a diagram showing the configuration of a parameter optimization device in Example 4 of the present application. FIG. 8 is a diagram showing the configuration of a base station in Example 5 of the present application. FIG. 9 is a diagram showing the configuration of a server in Example 5 of the present application.

In order to make the objectives, technical solutions and advantages of the present application clearer, the embodiments of the present application will now be described in more detail through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific examples described herein are for the purpose of interpreting the present application only and are not intended to limit the present application.

<Example 1>
In the related art, when optimizing radio parameters according to current network conditions, it is common to collect cell KPI data and optimize radio parameters based on the cell KPI data. However, the collection of KPI data has a large delay and requires the intervention of operation and maintenance personnel. Under circumstances such as changes in business scenarios and changes in the wireless environment, problems such as increased bit error rates, decreased data throughput, increased power consumption, and network congestion are likely to occur, resulting in reduced communication quality. . To solve this problem, the embodiments of the present application provide a kind of parameter optimization method, which includes the following steps, as shown in FIG.

S101: Collect the system operation log of the base station.

In an embodiment of the present application, the system operation log is an operation log generated during operation of the base station, and the system operation log includes traffic flow information and the like.

S102: Optimizing the target radio parameters of the base station according to the system operation log.

In the embodiments of the present application, the target radio parameters of the base station are optimized according to the collected system operation logs, wherein the target radio parameters can be any radio parameters of the base station, for example, the base station is the terminal may be associated control parameters to be sent to the For example, the target radio parameter is at least one of radio communication parameters such as the number of air interface repetitions, the duration of a reordering timer, and the duration of a polling retransmission timer. may be The number of repetitions of the air interface is the number of times data is repeatedly transmitted, and it is understood that the greater the number of repetitions of the air interface, the stronger the covering power. Regarding the duration of the reordering timer, in 2HARQ (Hybrid Automatic Repeat reQuest), due to a mismatch in the air interface environment of the two paths, the RLC (Radio Link Control) layer reaches Since messages may be out of sequence or there may be message loss, a reordering timer is introduced to wait for Out of sequence messages to arrive to avoid unnecessary retransmissions. Reduce triggering status reports. For the duration of the polling retransmission timer, after the sender sends a polling request, it sets one retransmission timer, and if it does not receive a status report from the receiver within the duration of the polling retransmission timer, the polling request is terminated. If a retransmission is required and the sender receives an appropriate status report from the receiver before the timer times out, the receiver will initiate its polling, whether Ack (Acknowledgement) or Nack (Negative Acknowledgment). It indicates that the request has been received, at which time the retransmission timer is turned off.

In embodiments of the present application, several wireless networks support terminals with different coverage levels, and terminals with different coverage levels have different corresponding communication requirements. Therefore, when optimizing the target radio parameters of the base station according to the system operation log, the traffic flow information of each coverage level is extracted from the system operation log, and based on the traffic flow information of each coverage level, the base station A target radio parameter corresponding to each coverage level can be optimized. That is, in the embodiments of the present application, different coverage levels may have different corresponding radio parameters, and when optimizing the target radio parameters of each coverage level, the traffic flow information of each coverage level in the system operation log Based on each, target radio parameters for each coverage level may be optimized. For example, NB-IoT (Narrow Band Internet of Things) supports terminals with three coverage levels: coverage level 0, coverage level 1, and coverage level 2. Coverage level 0 air interface is optimized based on the coverage level 0 traffic flow information, the iteration number for the coverage level 1 air interface is optimized based on the coverage level 1 traffic flow information, and the coverage level 2 air interface is optimized based on the traffic flow information is optimized based on coverage level 2 traffic flow information.

In an embodiment of the present application, optimizing target radio parameters of a base station according to system activity logs may include the following steps, as shown in FIG.

S201: Extract index data related to the target radio parameter from the traffic flow information in the system operation log.

In an embodiment of the present application, the system activity log includes traffic flow information, and the traffic flow information includes indicator data regarding target transmissions. Among them, the indicator data related to the target transmission may be the data affected by the target radio parameters. For example, the index data regarding the number of iterations of the air interface includes an error rate affected by the number of iterations of the air interface. The indicator data regarding the duration of the reordering timer includes at least one of parameters such as the duration (length of time) of out-of-order message arrival, the number of message repetition receptions, and the like. The indicator data regarding the duration of the polling retransmission timer includes at least one of parameters such as the time used for polling transmission and status report reply, the number of times the status report is repeatedly received, and the like.

S202: Optimizing the target radio parameters of the base station according to the indicator data on the target radio parameters.

In the embodiment of the present application, a limit value for each index data is set in advance, and when optimizing the target radio parameter of the base station based on the index data regarding the target radio parameter, the index regarding the target radio parameter in the system operation log Base station radio target parameters may be optimized based on the data and limits corresponding to the indicator data. When it is determined that the target radio parameter value is slightly higher based on the index data related to the target radio parameter in the system operation log and the limit value corresponding to the index data, the value of the target radio parameter is decreased, If it is determined that the target wireless parameter value is slightly lowered 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 increased. For example, assume that the target radio parameter is the number of iterations of the air interface, the index data related to the number of iterations of the air interface is the error rate, the error rate maximum limit is preset, and the error rate in the system operation log is the error rate. If it is lower than the maximum limit, it indicates that the current error rate is low and meets the communication needs, so it is determined that the air interface iteration count will be slightly high, and the air interface iteration count is decreased. If the error rate in the system activity log is higher than the error rate maximum limit, it indicates that the current error rate is too high to meet the communication needs, so it is determined that the air interface repetition rate is slightly lower. , increase the number of air interface iterations to reduce the error rate. Here, the specific value of the limiting value can be flexibly set according to actual needs.

In the embodiment of the present application, the range of each index data is set in advance, and when optimizing the target radio parameter of the base station based on the index data regarding the target radio parameter, the index data regarding the target radio parameter in the system operation log and the range corresponding to the indicator data, the radio target parameters of the base station may be optimized. When the indicator data related to target transmission in the system operation log is within the preset range of the indicator data, the target radio parameters are retained. The radio parameters are optimized, and the specific process of optimization can be determined from the index data and the target radio parameters. For example, the target radio parameter is the duration of the polling retransmission timer, the index data related to the target radio parameter is the number of repeated status report receptions, and the preset range of the number of repeated status report receptions is [A, B] (B>A). , if the number of status report repeat receptions in the system running log is at [A, B], hold the duration of the polling retransmission timer. If the number of times the status report is repeatedly received in the system operation log is less than A, it means that the duration of the polling retransmission timer is slightly longer, so the duration of the polling retransmission timer is reduced. If the number of times the status report is repeatedly received in the system operation log is greater than B, it means that the duration of the polling retransmission timer is slightly shortened, so the duration of the polling retransmission timer is increased.

In the embodiment of the present application, when optimizing the target radio parameters of the base station based on the index data regarding the target radio parameters, the target radio parameters of the base station are optimized based on the change tendency of the index data regarding the target radio parameters. good too. Here, the change trend of the index data can be determined based on the target wireless parameter index data in the currently acquired system operation log and the previously acquired target wireless parameter index data. Optimizing the target radio parameters of the base station according to . For example, assuming that the target radio parameter is the duration of the reordering timer, and the index data on the target radio parameter is the maximum duration of arrival of the out-of-order message, the out-of-order If the maximum duration of arrival of messages is greater than the previously obtained maximum duration of arrival of out-of-sequence messages, the reordering timer indicates an increasing trend in the maximum duration of arrival of out-of-sequence messages. Increases the duration of If the maximum duration of arrival of out-of-order messages in the currently acquired system operation log is smaller than the maximum duration of arrival of out-of-order messages previously acquired, the maximum duration of arrival of out-of-order messages is decreased. Decrease the duration of the reordering timer as this indicates a trend.

In this embodiment, after optimizing the target radio parameters of the base station based on the system operation log, the system operation log of the base station is re-collected after a preset time period, and according to the re-collected system operation log to optimize the target radio parameters of the base station and loop it. That is, by optimizing the target radio parameters for each preset time slot, it is possible to avoid wasting resources due to frequent optimization while ensuring timely optimization of the radio parameters. Here, the preset time period can be flexibly set according to actual needs.

In the embodiments of the present application, after optimizing the target radio parameters of the base station based on the system operation log, if the optimized radio parameters need to be similarly set on the terminal side, the optimized radio parameters The optimized radio parameters can be sent to the terminal such that the terminal communicates according to. For example, since it is necessary to similarly set the duration of the polling retransmission timer on the terminal side, after optimizing the duration of the polling retransmission timer of the base station, the terminal can The optimized polling retransmission timer duration can be sent to the terminal to communicate.

It should be noted that the parameter optimization method provided by the embodiments of the present application can be applied to IoT (Internet of Things), Long Term Evolution (LTE)-based wireless networks, GSM-based wireless networks, code division multiple access It is applicable to at least one type of CDMA (Code Division Multiple Access) based wireless network, 5G mobile communication technology wireless network, and so on. However, IoT includes, but is not limited to, NB-IoT.

In an embodiment of the present application, all the steps of the above parameter optimization method can be performed by the base station, namely, collecting system operation logs of the base station by the base station; By optimizing the target radio parameters, etc., it is possible to quickly collect operation logs, self-diagnose the operating status of the system, and quickly adjust parameters.

In an embodiment of the present application, all the steps of the above parameter optimization method can be performed by a server, namely, the server collects the system operation log of the base station, and based on the system operation log, determines the target radio frequency of the base station. Parameter optimization and the like may be performed. As a result, the load on the base station can be reduced, and centralized management can be achieved. When optimizing the target radio parameters of the base station based on the system operation log, the server performs communication based on the optimized target radio parameter values of the base station based on the system operation log. to optimize the target radio parameter values, and transmit the optimized target radio parameter values to the base station. Here, the server may be an OMC (Operation Maintenance Center) server.

The parameter optimization method provided by the embodiments of the present application is a parameter optimization method for collecting system operation logs of a base station and optimizing the target radio parameters of the base station based on the system operation logs. Since the system operation log is real-time traffic scene information, the current network status is sensed in real time based on the system operation log, and the wireless parameters are optimized to reduce the time delay of wireless parameter optimization. , improve communication quality.

<Example 2>
In order to better understand the parameter optimization method in Example 1, this example will be described together with a more specific example.

As shown in FIG. 3, the parameter optimization method includes the following steps.

S301: The base station acquires its system operation log.

In this embodiment, during communication of the base station, the traffic unit generates a system running log, the system running log is the information of the real-time traffic scene, and the base station acquires the generated system running log.

S302: The base station extracts traffic flow information for each coverage level from the system operation log.

A wireless communication system supports different coverage levels, and different coverage levels have different communication performance requirements. Extract the traffic flow information for each coverage level from the system activity log for later optimization of radio parameters.

S303: The base station extracts indicator data on target radio parameters from the traffic flow information of each coverage level.

After extracting the traffic flow information for each coverage level, extracting indicator data about the target radio parameter from the traffic flow information for each coverage level. The target radio parameters can be flexibly set according to actual needs.

S304: The base station optimizes the target radio parameters for each coverage level based on the indicator data on the target radio parameters for each coverage level.

After extracting the indicator data for the target radio parameter for each coverage level, optimizing the target radio parameter for its corresponding coverage level based on the indicator data for each coverage level. For example, assuming that the wireless communication system supports three coverage levels, coverage level 0, coverage level 1, and coverage level 2, the traffic flow information of coverage level 0, coverage level 1, and coverage level 2 is obtained from the system operation log. respectively, extracting index data on the target radio parameter from each of the traffic flow information of coverage level 0, coverage level 1, and coverage level 2, and based on the index data on the target radio parameter corresponding to coverage level 0, the coverage level 0, optimizing the target radio parameters for coverage level 1 based on the indicator data for target radio parameters corresponding to coverage level 1, and optimizing the target radio parameters for coverage level 2 based on the indicator data for target radio parameters corresponding to coverage level 2. to optimize the target radio parameters for coverage level 2.

When optimizing the target radio parameter based on the target radio parameter index data, optimizing the target radio parameter based on the target radio parameter index data and a preset limit value of the index data, And/or the target radio parameter can be optimized based on the change trend of the indicator data for the target radio parameter. Here, when determining the trend of change in index data related to the target radio parameter, since the parameter optimization method of the present embodiment is loop-like, the index data obtained in this parameter optimization process and The trend of change in index data can be determined based on the index data obtained in the previous parameter optimization process.

In this embodiment, if the optimized target radio parameters need to be similarly set on the terminal side, the base station sends the optimized target radio parameters to the terminal so that the terminal optimizes the target radio parameters. You may send.

S305: The base station operates in a preset time slot based on the optimized target radio parameters.

Based on the optimized target radio parameters, the base station operates in a preset time period, and then shifts to S301 to optimize the next target radio parameters. Here, the preset time period can be flexibly set according to actual needs. The preset time period may be adjusted according to changes in network conditions. For example, if the current network conditions are relatively stable, the preset time period may be extended to save resources; The time period may be shortened to timely optimize wireless communication parameters and adapt to various network environments.

To better understand the parameter optimization method in this embodiment, an example will now be described.

For NB-IoT, the NB-IoTTR14 protocol introduces 2HARQ function, and due to the mismatch of the air interface environment of the two paths, the messages arriving at the RLC layer may be out of order or there may be message loss. There is A reordering timer introduced by the protocol is used to wait for the arrival of out-of-order messages in order to reduce status reports that trigger unnecessary retransmissions. If the duration of this timer is too long, lost messages cannot be resent in a timely manner, resulting in slow data response speed; The side will send a status report to the sender and request that the message be resent, resulting in repeated message transmission and reduced air interface data throughput rate. Therefore, in order to match the duration of the reordering timer to the current network conditions, the duration of the reordering timer is set as the target radio parameter, and the indicator data related to the target radio parameter are the number of message repetition receptions and out-of-sequence message reception. is the maximum duration of arrival. As shown in FIG. 4, the reordering timer duration optimization flow is as follows.

S401: The base station collects system operation logs.

S402: The base station extracts traffic flow information for each coverage level from the system operation log.

Since the NB-IoT system supports three different coverage levels, which are coverage level 0, coverage level 1, and coverage level 2, from the system operation log, traffic flow information corresponding to coverage level 0, corresponding to coverage level 1 Traffic flow information and traffic flow information corresponding to coverage level 2 are extracted respectively.

S403: The base station extracts the number of repeated message receptions for each coverage level and the maximum duration of out-of-sequence message arrivals from each of the traffic flow information for each coverage level.

The number of repeated message receptions and the maximum duration of arrival of out-of-order messages are extracted from the traffic flow information corresponding to coverage level 0, and the number of repeated message receptions and the arrival of out-of-order messages are extracted from the traffic flow information corresponding to coverage level 1. The number of message repeat receptions and the maximum duration of out-of-sequence message arrival are extracted from the traffic flow information corresponding to coverage level 2.

S404: The base station compares the extracted number of repeated message receptions corresponding to each coverage level with a preset limiting value for the number of repeated message receptions corresponding to the coverage level, and determines the maximum number of messages that arrive out of order. Modify the reordering timer duration for each coverage level to match the changing duration trends.

A limit value for the number of message repetition receptions for each coverage level is preset in each base station.

When the base station corrects the duration of the reordering timer for coverage level 0, the base station uses the message repetition reception count for coverage level 0 extracted from the system operation log and the message repetition reception count corresponding to the preset coverage level 0. , and the maximum duration for messages to reach out of order for coverage level 0 acquired this time and the out of order for coverage level 0 acquired in the process of optimizing the duration of the previous reordering timer A trend in the maximum duration of arrival of out-of-sequence messages with coverage level 0 is determined based on the maximum duration of arrival of messages. If the number of message repetitions received for coverage level 0 falls below a preset message repetition limit for coverage level 0, or the maximum duration for which an out-of-sequence message for coverage level 0 arrives decreases, the coverage Reduce the duration of the level 0 reordering timer. The number of message repeats received at coverage level 0 becomes higher than the preset message repeat limit value corresponding to coverage level 0, or the maximum duration of out-of-order message arrivals at coverage level 0 increases. Then the duration of the coverage level 0 reordering timer is increased.

For modification of the duration of the reordering timer at coverage level 1 and modification of the duration of the reordering timer at coverage level 2, refer to Modification of duration of the reordering timer at coverage level 0. I won't exaggerate here again.

S405: The base station operates in a preset time slot based on the modified reordering timer duration of each coverage level.

After operating in the preset time zone, the process proceeds to S401.

The parameter optimization method provided by the embodiments of the present application is a parameter optimization method for collecting system operation logs of a base station and optimizing the target radio parameters of the base station based on the system operation logs. Since the system operation log is real-time traffic scene information, the current network status is sensed in real time based on the system operation log, and the wireless parameters are optimized to reduce the time delay of wireless parameter optimization. , improve communication quality.

<Example 3>
In order to better understand the parameter optimization method in Example 1, this example will be described together with a more specific example.

As shown in FIG. 5, the parameter optimization method includes the following steps.

S501: The OMC collects system operation logs of the base station.

In this embodiment, during the communication of the base station, the traffic unit generates a system running log, and the system running log is the information of the real-time traffic scene. After the base station generates the system activity log, it sends it to the OMC.

S502: OMC extracts traffic flow information for each coverage level from the system operation log.

Since a wireless communication system supports different coverage levels, and different coverage levels have different communication performance requirements, in this embodiment, the OMC determines the target radio for the coverage level based on the traffic flow information for the different coverage levels. Extract the traffic flow information for each coverage level from the system activity log of the base station for later optimization of the parameters.

S503: The OMC extracts indicator data on target radio parameters from the traffic flow information for each coverage level.

After extracting the traffic flow information for each coverage level, the OMC extracts indicator data for target radio parameters from the traffic flow information for each coverage level. The target radio parameters can be flexibly set according to actual needs.

S504: The OMC optimizes the target radio parameters for each coverage level based on the indicator data on the target radio parameters for each coverage level.

After extracting the indicator data about the target radio parameters of each coverage level, the OMC extracts the corresponding coverage level based on the indicator data of each coverage level so that the base station communicates based on the target radio parameters after optimization. and transmit the optimized target radio parameters for each coverage level to the base station.

When optimizing the target radio parameter based on the target radio parameter index data, optimizing the target radio parameter based on the target radio parameter index data and a preset limit value of the index data, And/or the target radio parameter can be optimized based on the change trend of the indicator data for the target radio parameter. Here, when determining the trend of change in index data related to the target radio parameter, since the parameter optimization method of the present embodiment is loop-like, the index data obtained in this parameter optimization process and The trend of change in index data can be determined based on the index data obtained in the previous parameter optimization process.

In this embodiment, if the optimized target radio parameters need to be set on the terminal side as well, the OMC sets the target radio parameters for each coverage level after optimization so that the terminal optimizes the target radio parameters. After transmitting the parameters to the corresponding terminal, or the base station receives the target radio parameters of each coverage level after optimization, each coverage level after optimization, so that the terminal optimizes the target radio parameters of target radio parameters may be sent to the corresponding terminals.

S505: OMC operates in a preset time zone.

After transmitting the optimized target radio parameters to the base station, the OMC operates in a preset time period, and then proceeds to S501 to optimize the next target radio parameters. Here, the preset time period can be flexibly set according to actual needs. The preset time period may be adjusted according to changes in network conditions. For example, if the current network conditions are relatively stable, the preset time period may be extended to save resources; The time period may be shortened to timely optimize wireless communication parameters and adapt to various network environments.

To better understand the parameter optimization method in this embodiment, an example will now be described.

For NB-IoT, after the sender sends a polling request to the receiver, it sets one retransmission timer, and if the status report of the receiver is not received after the timeout, it needs to resend the polling request, and the timer If the sender receives an appropriate status report from the receiver before the timeout expires, it indicates that the receiver has received the polling request, whether Ack (Acknowledgment) or Nack (Negative Acknowledgment). At this time, the retransmission timer is turned off. The duration of poll retransmission timers for different coverage levels should be guaranteed to be slightly greater than the maximum time used for poll transmission and status report return for this coverage level, and less if status reports are still being sent. However, the sender misunderstands that the polling request has failed to be sent, and the polling request is resent, causing the sender to repeatedly reply with status reports, slowing down the data throughput rate of the air interface and causing excessive As a result, the failed polling request cannot be resent in a timely manner, and the data response speed decreases. Therefore, in order to adjust the duration of the polling retransmission timer to the current network state, the duration of the polling retransmission timer is set as the target radio parameter, and the indicator data related to the target radio parameter are the number of times the status report is repeatedly received and the polling transmission. and status report reception time. As shown in FIG. 6, the optimization flow of polling retransmission timer duration is as follows.

S601: The OMC collects system operation logs of the base station.

S602: OMC extracts traffic flow information for each coverage level from the system operation log.

Since the NB-IoT system supports three different coverage levels, which are coverage level 0, coverage level 1, and coverage level 2, OMC can extract the traffic flow information corresponding to coverage level 0 from the system operation log to coverage level 1. Corresponding traffic flow information and traffic flow information corresponding to coverage level 2 are extracted respectively.

S603: The OMC extracts the number of times the status report is repeatedly received for each coverage level, the polling transmission time, and the status report reception time from each of the traffic flow information for each coverage level.

From the traffic flow information corresponding to coverage level 0, the number of times the status report is repeatedly received (assumed to be n0) and the polling transmission and status report reception time (assumed to be t1-0) are extracted. From the traffic flow information corresponding to coverage level 1, the number of times the status report is repeatedly received (assumed to be n1) and the polling transmission and status report reception time (assumed to be t1-1) are extracted. From the traffic flow information corresponding to coverage level 2, the number of times the status report is repeatedly received (assumed to be n2) and the polling transmission and status report reception time (assumed to be t1-2) are extracted.

S604: The OMC compares the extracted number of repeated status report receptions corresponding to each coverage level with a preset limit value for the number of repeated status report receptions corresponding to the coverage level, and determines polling transmission and status report reception time. modify the polling retransmission timer duration for each coverage level to match the changing trend of

A limited value for the number of times the status report is repeatedly received for each coverage level is preset in the OMC. The limited value of the number of repeated status report receptions for coverage level 0 is N0, the limited number of repeated status report receptions for coverage level 1 is N1, and the limited number of repeated status report receptions for coverage level 2 is N2. The changing trend of polling transmission and status report reception time is determined based on the polling transmission and status report reception time obtained this time, and the polling transmission and status report reception time obtained in the process of optimizing the duration of the previous polling resend timer. be done.

If the OMC modifies the duration of the polling retransmission timer for coverage level 0, it matches n0 with N0, t1-0 and t0-0 (t0-0 is the last polling retransmission timer duration optimization process The change trend of the coverage level 0 polling transmission and status report reception time is determined based on the coverage level 0 polling transmission and status report reception time acquired in the process. If n0<N0 or t1-0<t0-0 (ie, the poll transmission and status report reception times are decreased), decrease the duration of the coverage level 0 poll retransmission timer. If n0>N0 or t1-0>t0-0 (ie, if the poll transmission and status report reception time increases), increase the duration of the coverage level 0 poll retransmission timer.

For modifying the duration of the polling retransmission timer for coverage level 1, refer to the method for modifying the duration of the polling retransmission timer for coverage level 0, n1, N1, t1-1, t0-1 (t0-1 is the previous is the coverage level 1 polling transmission and status report reception time obtained in the duration optimization process of the coverage level 1 polling retransmission timer), modify the duration of the coverage level 1 polling retransmission timer.

For modifying the duration of the polling retransmission timer for coverage level 2, refer to the method for modifying the duration of the polling retransmission timer for coverage level 0, n2, N2, t1-2, t0-2 (t0-2 is the previous is the coverage level 2 polling transmission and status report reception time obtained in the duration optimization process of the coverage level 2 polling retransmission timer), modify the duration of the coverage level 2 polling retransmission timer.

S605: The OMC sends the optimized polling retransmission timer duration of each coverage level to the base station and operates in a preset time period.

After the preset time period has elapsed, the process proceeds to S601.

The parameter optimization method provided by the embodiments of the present application is a parameter optimization method for collecting system operation logs of a base station and optimizing the target radio parameters of the base station based on the system operation logs. Since the system operation log is real-time traffic scene information, the current network status is sensed in real time based on the system operation log, and the wireless parameters are optimized to reduce the time delay of wireless parameter optimization. , improve communication quality.

<Example 4>
In addition to Embodiments 1, 2 and 3, the present embodiment provides a parameter optimization device, which may be a base station or an OMC server. The apparatus is for implementing the parameter optimization method described in at least one of the first, second, and third embodiments, and as shown in FIG. 7, the parameter optimization apparatus is a base station system It comprises a collection module 701 for collecting operation logs and an optimization module 702 for optimizing target radio parameters of the base station according to the system operation logs.

The optimization module 702 further extracts traffic flow information for each coverage level from the system operation log, and optimizes target radio parameters for each coverage level of the base station based on the traffic flow information for each coverage level. Used for things.

The optimization module 702 is further configured to extract target radio parameter indicator data from the traffic flow information in the system operation log, and optimize the target radio parameter of the base station based on the target radio parameter indicator data. used for Here, the target radio parameters include, but are not limited to, at least one of air interface repetition count, reordering timer duration, polling retransmission timer duration, etc. The index data for the reordering timer includes an error rate, etc., and the index data for the duration of the reordering timer includes at least one of the duration (length of time) of out-of-order message arrival, the number of times messages are repeatedly received, etc. Polling The index data regarding the duration of the retransmission timer includes at least one of the time used for polling transmission and status report reply, the number of times status reports are repeatedly received, and the like. In this embodiment, the target radio parameter of the base station may be optimized based on the index data on the target radio parameter and the preset setting value of the index data, and the index data on the target radio parameter and the index A target radio parameter of the base station may be optimized based on a preset range of data, holding the target radio parameter when the indicator data for the target radio parameter is within the preset range for the target radio parameter; If the index data exceeds the preset range of the index data, then optimize the target radio parameters. Based on the currently acquired target radio parameter index data and the previously acquired target radio parameter index data, determine the trend of change in the index data, and optimize the target radio parameter of the base station according to the change trend of the index data. may be changed.

After optimizing the target radio parameters, the optimization module 702 of the parameter optimization device operates in a preset time period, and the collection module 701 collects the system operation log of the base station again, and performs the parameter optimization process. Start a new round and cycle through it.

The parameter optimization device provided by the embodiments of the present application is suitable for Internet of Things IoT, Long Term Evolution LTE-based wireless network, GSM-based wireless network, Code Division Multiple Access CDMA-based wireless network, 5th generation mobile communication technology Internet of Things IoT includes narrowband Internet of Things NB-IoT.

In embodiments herein, collection may be performed by a processor or other hardware unit, and optimization module 702 may be performed by a processor or other hardware unit. may be

A parameter optimization device provided by an embodiment of the present application collects system operation logs of a base station and optimizes target radio parameters of the base station based on the system operation log. Since the operation log is real-time traffic scene information, the current network status is sensed in real time based on the system operation log, and wireless parameters are optimized to shorten the time delay of wireless parameter optimization and improve communication quality. improve.

<Example 5>
This embodiment further provides a base station, as shown in FIG. and the first memory 802, and the first processor 801 implements at least one step of the parameter optimization methods in the first, second, and third embodiments. To implement, it executes one or more computer programs stored in the first memory 802 .

This embodiment further provides a server, as shown in FIG. and the second memory 902, and the second processor 901 implements at least one step of the parameter optimization methods in the first, second, and third embodiments. To implement, one or more computer programs stored in the second memory 902 are executed. Here, the server may be an OMC server.

The present embodiments further provide storage media, which may be implemented in any method or technology for storing information (eg, computer readable instructions, data structures, computer program modules, or other data). including volatile or non-volatile, removable or non-removable media. Computer readable storage media include Random Access Memory (RAM), Read-Only Memory (ROM), Electrically Erasable Programmable read only memory (EEPROM), Flash memory and other memory technologies, CDs -ROM (Compact Disc Read-Only Memory), DVD (Digital Versatile Disk), other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage and other magnetic storage devices, or any other magnetic storage device capable of storing desired information and including, but not limited to, any other computer-accessible medium.

The storage medium in this embodiment can be used to store one or more computer programs, and the stored one or more computer programs can be used for parameter optimization in Embodiments 1, 2, and 3 above. may be executed by a processor to implement at least one step of the method.

A base station, a server, and a storage medium provided by embodiments of the present application are configured to collect system operation logs of the base station, optimize target radio parameters of the base station based on the system operation log, and perform an implementation process Since the system operation log is real-time traffic scene information, the current network status is sensed in real time based on the system operation log, and the wireless parameters are optimized to reduce the time delay of wireless parameter optimization. , improve communication quality.

Thus, the functional modules/units in all or part of the steps of the methods, systems, and apparatus disclosed above may be implemented by software (which may be implemented by computer program code executable by a computing device), firmware, hardware, and so on. It will be apparent to those skilled in the art that any suitable combination may be implemented. In the hardware embodiment, the division between functional modules/units given in the above description does not necessarily correspond to the division of physical components, for example, one physical component may have multiple functions. However, a single function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor such as a central processing unit, digital signal processor, or microprocessor, or may be implemented as hardware, or may be implemented as dedicated hardware. It may also be implemented as an integrated circuit, such as an integrated circuit.

Also, as is well known by those skilled in the art, communication media typically includes computer readable instructions, data structures, computer program modules or other data in a modulated data signal such as carrier wave or other transport mechanism. , can include any information delivery medium. Accordingly, the present application is not limited to any particular combination of hardware and software.

The above is a more detailed description of the specific embodiments in conjunction with the examples of the present application, and it cannot be recognized that the specific embodiments of the present application are limited to these descriptions. A person skilled in the art can make some simple inferences and substitutions without departing from the concept of the present application, which should be regarded as belonging to the protection scope of the present application.

Claims (14)

Collecting system operation logs of base stations;
optimizing target radio parameters of the base station as a function of the system activity log;
A parameter optimization method characterized by: Said parameter optimization method is suitable for Internet of Things IoT, Long Term Evolution LTE based wireless networks, GSM based wireless networks, Code Division Multiple Access CDMA based wireless networks, 5th generation mobile communication technology based wireless networks. applied to at least one type of wireless network,
The Internet of Things IoT includes narrowband Internet of Things NB-IoT,
The parameter optimization method according to claim 1, characterized in that: Optimizing target radio parameters of the base station according to the system activity log includes:
extracting indicator data related to the target radio parameter from the traffic flow information in the system operation log;
optimizing target radio parameters of the base station based on the indicator data for the target radio parameters;
The parameter optimization method according to claim 1, characterized in that: optimizing the target radio parameters of the base station based on the indicator data for the target radio parameters;
optimizing the target radio parameter of the base station based on the indicator data for the target radio parameter and a preset limiting value of the indicator data;
4. The parameter optimization method according to claim 3, characterized in that: the target radio parameter includes at least one of an air interface repetition count, a reordering timer duration, and a polling retransmission timer duration;
the indicator data on the number of iterations of the air interface includes an error rate;
The indicator data regarding the duration of the reordering timer includes at least one of the duration of out-of-order message arrival and the number of times the message is repeatedly received;
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, and the number of times status reports are repeatedly received.
4. The parameter optimization method according to claim 3, characterized in that: optimizing the target radio parameters of the base station based on the indicator data for the target radio parameters;
holding the target radio parameter when the indicator data for the target radio parameter is within a preset range of the indicator data;
optimizing the target radio parameter if the indicator data for the target radio parameter exceeds a preset range for the indicator data;
4. The parameter optimization method according to claim 3, characterized in that: optimizing the target radio parameters of the base station based on the indicator data for the target radio parameters;
Determining a change trend of the index data based on the currently acquired index data on the target radio parameter and the previously acquired index data on the target radio parameter, and determining the change trend of the index data according to the change trend of the base station including optimizing the target radio parameters of
4. The parameter optimization method according to claim 3, characterized in that: After optimizing the target radio parameters of the base station according to the system operation log,
re-collecting system operation logs of the base station after a preset time period has elapsed;
optimizing the target radio parameters of the base station according to the recollected system activity log and looping over it;
The parameter optimization method according to claim 1, characterized in that: Optimizing target radio parameters of the base station according to the system operation log includes:
extracting traffic flow information for each coverage level from the system operation log;
optimizing target radio parameters corresponding to each coverage level of the base station based on traffic flow information for each coverage level;
The parameter optimization method according to any one of claims 1 to 8, characterized in that: a collection module for collecting system operation logs of base stations;
an optimization module for optimizing target radio parameters of the base station according to the system activity log;
A parameter optimization device characterized by: The parameter optimization device is a base station or a server,
11. The parameter optimization device according to claim 10, characterized in that: comprising a first processor, a first memory, and a first communication bus;
the first communication bus is for realizing connection and communication between the first processor and the first memory;
The first processor executes one or more computer programs stored in the first memory so as to implement the steps of the parameter optimization method according to any one of claims 1 to 9,
A base station characterized by: comprising a second processor, a second memory, and a second communication bus;
the second communication bus is for realizing connection and communication between the second processor and the second memory;
The second processor executes one or more computer programs stored in the second memory so as to implement the steps of the parameter optimization method according to any one of claims 1 to 9,
A server characterized by: Stored 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,
A storage medium characterized by:

Images