CN106792783B - Network self-optimization method and device - Google Patents
Network self-optimization method and device Download PDFInfo
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Abstract
The present invention relates to the field of communications, and in particular, to a method and an apparatus for network self-optimization. The method is used for improving the fineness of network optimization, improving the optimization efficiency and reducing the optimization cost. The method comprises the following steps: each service cell is divided into a plurality of sub-regions, the geographical position identification and the wireless assessment index of the sub-region are reported at any position of the service cell through a user terminal, the wireless assessment index is compared with the corresponding wireless assessment index standard value based on the geographical position identification, and when the wireless assessment index is determined not to reach the standard, the corresponding sub-region is reconfigured based on the wireless configuration information corresponding to the wireless assessment index standard value. Therefore, the network side can optimize the network performance to the optimal state by self, manual intervention is reduced, the purpose of intelligent network optimization is achieved, the daily network optimization work efficiency is improved, and meanwhile, the operation cost is saved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for network self-optimization.
Background
In the prior art, whether the network indexes of the communication network maintain high quality for a long time or not depends on the size of the scale of a network optimization maintenance team. The more people invested in network optimization, the better the network index optimization, especially in the initial stage of network construction, the network optimization is usually carried out by adopting 'human-sea tactics'. Daily network optimization basically adopts a manual optimization method, and conventional optimization work usually needs to be completed by multiple persons in a coordinated manner.
For example, if a network index of a certain cell is abnormal, which causes a user complaint, but user information is not determined very much, the network index needs to be obtained from a network management system manually, and possible influence reasons affecting key indexes such as connection, call drop, switching and the like are given by screening the worst TOP cell and combining a large amount of log analysis. And organizing and discussing by an optimization team, making a network optimization scheme, and finally implementing by a drive test personnel to perform drive test reproduction optimization test. However, the specific position of the complaint user cannot be obtained, so that the road test is difficult to reproduce and the working efficiency is low.
In addition, daily network optimization also needs to regularly guarantee the drive test work, and usually, a drive test worker collects indexes through a foreground, analyzes and discusses the indexes through a background, gives an optimization scheme suggestion, and manually implements and adjusts the optimization. The road test work can only cover the trunk road, and can not ensure the areas of residential areas or small places, and the places can only depend on manual field test, so that the situation that all the areas are covered is difficult to ensure, and the fine network optimization cannot be achieved.
In summary, the existing network optimization schemes have the following disadvantages:
1. by adopting a manual network optimization method, an optimization team with a certain scale needs to be maintained, and the conventional optimization test work usually needs multiple persons to complete the test in a cooperative manner, so that the labor input is large, and the operation cost is high.
2. By adopting the manual network optimization method, due to the consideration of the human input cost, the coverage of all areas, indoor areas or small areas and the like cannot be ensured, so that the network optimization cannot reach a fine degree.
3. With the adoption of a manual network optimization method, along with the removal and expansion of cities, when the building environment around a cell changes continuously, wireless indexes are greatly influenced, and road test personnel need to perform on-site road test optimization work irregularly and repeatedly.
4. By adopting the artificial network optimization method, the drive test optimization work can be finished only by acquiring foreground data analysis through a special drive test terminal and not acquiring intelligent commercial terminal data through a background system at present.
Disclosure of Invention
The embodiment of the invention provides a network self-optimization method and device, which are used for improving the fineness of network optimization, improving the optimization efficiency and reducing the optimization cost.
The embodiment of the invention provides the following specific technical scheme:
a method of network self-optimization, comprising:
a network side receives a geographical position identifier and a wireless assessment index which are reported by a user terminal aiming at a sub-region to which the user terminal belongs, wherein the sub-region is obtained by geographically dividing a service cell administered by the network side;
the network side obtains a wireless assessment index standard value which is set corresponding to the sub-area based on the geographic position identification, and compares the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result;
and when the network side determines that the wireless assessment indexes do not reach the wireless assessment index standard value according to the comparison result, optimizing the network performance of the sub-area based on the wireless assessment standard value.
Preferably, further comprising:
in the preprocessing phase, the following operations are performed:
the network side divides each service cell in the jurisdiction area into a plurality of sub-areas according to the geographical position, and each sub-area corresponds to a geographical position mark
The network side informs the terminal side of the partition mode of the sub-area.
Preferably, the step of determining, by the network side according to the comparison result, that the wireless assessment index does not reach the standard value of the wireless assessment index includes:
and when the network side judges that any one wireless index contained in the wireless assessment index does not reach the corresponding assessment threshold value according to the comparison result, the wireless assessment index is determined not to reach the assessment index standard value, wherein the wireless assessment index standard value is a set of the assessment threshold values of various wireless indexes contained in the wireless assessment index.
Preferably, the network side optimizes the network performance of the sub-area based on the wireless assessment standard value, and the method comprises the following steps:
and the network side acquires wireless configuration information preset corresponding to the wireless assessment standard value and reconfigures the subareas based on the wireless configuration information.
Preferably, the network side reconfigures the sub-area based on the radio configuration information, including:
and the network side judges whether the time between the current time and the last configuration reaches a set threshold value or not, and reconfigures the sub-area based on the wireless configuration information when the set threshold value is determined to be reached.
Preferably, further comprising:
and when the network side determines that the wireless assessment indexes exceed the wireless assessment index standard values, the network side sets the wireless assessment indexes as new wireless assessment index standard values and resets corresponding wireless configuration information.
An apparatus for network self-optimization, comprising:
the communication unit is used for receiving a geographical position identifier and a wireless assessment index reported by a user terminal aiming at a sub-region to which the user terminal belongs, wherein the sub-region is obtained by geographically dividing a service cell governed by a network side;
the comparison unit is used for obtaining a wireless assessment index standard value which is set corresponding to the sub-area based on the geographic position identification, and comparing the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result;
and the optimization unit is used for optimizing the network performance of the sub-area based on the wireless assessment standard value when the wireless assessment index does not reach the wireless assessment index standard value.
Preferably, further comprising:
a configuration unit for, in a pre-processing phase, performing the following operations:
dividing each service cell in the jurisdiction range into a plurality of sub-regions according to the geographic position, wherein each sub-region corresponds to a geographic position identifier
And informing the division mode of the subareas to the terminal side.
Preferably, when the wireless assessment index does not reach the standard value of the wireless assessment index according to the comparison result, the comparison unit is configured to:
and when any one of the wireless indexes contained in the wireless assessment indexes does not reach the corresponding assessment threshold value, determining that the wireless assessment indexes do not reach the assessment index standard value, wherein the wireless assessment index standard value is a set of the assessment threshold values of various wireless indexes contained in the wireless assessment indexes.
Preferably, when optimizing the network performance of the sub-area based on the radio assessment standard value, the optimizing unit is configured to:
and acquiring preset wireless configuration information corresponding to the wireless assessment standard value, and reconfiguring the subareas based on the wireless configuration information.
Preferably, when the sub-area is reconfigured based on the radio configuration information, the optimizing unit is configured to:
and judging whether the current time and the last configured time reach a set threshold value, and reconfiguring the subarea based on the wireless configuration information when the set threshold value is determined to be reached.
Preferably, the comparing unit is further configured to:
and when the wireless assessment indexes exceed the wireless assessment index standard values, setting the wireless assessment indexes as new wireless assessment index standard values, and resetting corresponding wireless configuration information.
In summary, in the embodiments of the present invention, for the purpose of network intelligent optimization, each serving cell is divided into a plurality of sub-regions, a geographic position identifier and a wireless assessment index of the sub-region are reported at any position of the serving cell through a user terminal, the wireless assessment index is compared with a corresponding wireless assessment index standard value based on the geographic position identifier, and when the wireless assessment index is determined not to reach the standard, the corresponding sub-region is reconfigured based on the wireless configuration information corresponding to the wireless assessment index standard value. Therefore, the network self-test can be realized, and the judgment standard can be made by self along with the self-learning process. Along with the large-scale deployment of the network, the user terminals are continuously improved, each user terminal can be used as a drive test terminal to participate in testing for the whole population, so that the network is continuously refined, system data is continuously accumulated and updated, the network side can automatically optimize the network performance to the optimal state, manual intervention is reduced, the purpose of intelligent optimization of the network is achieved, the working efficiency of daily network optimization is improved, and meanwhile, the operation cost is saved.
Drawings
FIG. 1 is a schematic flow chart of network self-optimization according to an embodiment of the present invention;
FIG. 2 is a detailed flow chart of network self-optimization according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a functional structure of a network-side device according to an embodiment of the present invention.
Detailed Description
In order to improve the fineness of network optimization, improve the optimization efficiency and reduce the optimization cost. The embodiment of the invention provides a new network self-optimization method, which can report data to a network management system through a user terminal, and the network management system realizes automatic analysis and automatic optimization according to preset relevant configuration information, reduces manual intervention and realizes the aim of national auxiliary optimization
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Along with the large-scale deployment of the network, intelligent user terminals are continuously perfected, and each user terminal can participate in network optimization work as a drive test terminal, so that all people can join in drive test, and the accuracy of network optimization can be smoothly improved.
In the embodiment of the invention, in the preprocessing stage, a network side (namely a network management system) further refines and divides each service cell in the jurisdiction range into a plurality of sub-regions according to the geographic position, and each sub-region corresponds to a geographic position identifier and is used for uniquely distinguishing the sub-regions; then, the network side informs the terminal side of the partition mode of each sub-area, and each user terminal of the terminal side periodically reports the geographical position identification and the wireless assessment index of the sub-area where the user terminal is located, so that the network side can collect the finest data in real time to analyze the network performance.
Preferably, in the embodiment of the present invention, the network side may perform sub-region segmentation based on data provided by a Global positioning system (Global positioning system), or may perform sub-region segmentation based on an antenna azimuth (AOA) or/and a Timing Advance (TA) of each serving cell, which is not described herein again.
Certainly, the division of the sub-regions may also be completed by negotiation between the network side and the terminal side, so that the network side does not need to notify the terminal side of the division manner of the sub-regions, which is not described herein again.
Specifically, referring to fig. 1, in the embodiment of the present invention, a schematic flow for performing network self-optimization is as follows:
step 100: the network side receives the geographical position identification and the wireless assessment index reported by the user terminal aiming at the sub-region to which the user terminal belongs, wherein the sub-region is obtained by geographically dividing the service cell administered by the network side.
In the embodiment of the invention, each sub-region corresponds to one geographical position identifier, the number of the sub-region can be determined through the geographical position identifier, and based on the number of the sub-region, the network side can respectively realize independent data statistics, query, analysis and display aiming at each sub-region.
In practical application, a network side may synchronously receive geographic location identifiers and wireless assessment indexes reported by a plurality of user terminals respectively for sub-areas to which the user terminals belong, and respectively and independently process the geographic location identifiers and the wireless assessment indexes.
Step 110: and the network side obtains a wireless assessment index standard value which is set corresponding to the sub-area based on the geographical position identification, and compares the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result.
On the network side, a corresponding wireless assessment index standard value is preset for each sub-area, and the wireless assessment index may include various wireless indexes, for example: carrier-to-interference ratio (C/I), signal-to-noise ratio (snr), Reference Signal Received Power (RSRP), and the like, each wireless indicator is provided with a corresponding assessment threshold, a set of assessment thresholds of all wireless indicators corresponding to one sub-region is a wireless assessment indicator standard value of the sub-region, and corresponding wireless configuration information (such as carrier configuration, uplink transmission rate, downlink transmission rate, data transmission power, and the like) is set for the wireless assessment indicator standard value; of course, the radio consideration indicator thresholds of multiple sub-areas (e.g., sub-areas belonging to the same serving cell) may be the same, and the corresponding radio configuration information may also be the same, which is not described herein again.
Specifically, when any one of the obtained wireless assessment indexes in the sub-areas does not reach the corresponding assessment threshold value, the network side determines that the wireless assessment index does not reach the assessment index standard value.
In the embodiment of the present invention, the network side may directly obtain the wireless assessment index standard value set corresponding to the sub-area according to the geographic location identifier (i.e., obtain the corresponding wireless assessment index standard value based on the direct mapping of the geographic location identifier), or may obtain the number of the sub-area based on the geographic location identifier, and then obtain the corresponding wireless assessment index standard value based on the number, which is not described herein again.
Step 120: and when the network side determines that the wireless assessment index does not reach the wireless assessment index standard value according to the comparison result, optimizing the network performance of the sub-area based on the wireless assessment standard value.
Specifically, when the network side judges that any one of the obtained wireless assessment indexes in the sub-areas does not reach the corresponding assessment threshold value according to the comparison result, the wireless assessment index is determined not to reach the assessment index standard value. At this time, the network side should acquire the wireless configuration information preset corresponding to the wireless assessment index standard value, and reconfigure the sub-area to determine that the network performance of the sub-area can meet the requirement of the wireless assessment index standard value. Preferably, when the sub-area is reconfigured, the network side judges whether the time between the current time and the last configuration reaches a set threshold, and when the time reaches the set threshold, the network side reconfigures the sub-area based on the wireless configuration information corresponding to the wireless assessment index standard value, so as to avoid performance fluctuation of the whole sub-area caused by frequent configuration adjustment of the sub-area.
Therefore, when the network performance of any sub-area is reduced, the sub-area can be automatically optimized according to the wireless configuration information corresponding to the wireless assessment index standard value of the sub-area, so that the network performance is optimized and adjusted to the optimal state, the manual intervention is reduced, the purpose of intelligent network optimization is achieved, and the daily network optimization work efficiency is improved.
Based on the above embodiment, on the other hand, if the network side determines that the obtained wireless assessment indicators of the sub-area exceed the corresponding wireless assessment indicator standard values (that is, at least one wireless indicator exceeds the corresponding wireless assessment threshold value, and the other wireless indicators reach the corresponding wireless assessment threshold values), the current wireless assessment indicators of the sub-area are set as new wireless assessment indicator standard values, and corresponding wireless configuration information is reset according to the current network state of the sub-area.
Along with the continuous deep refinement of the network, the data on the network side is continuously accumulated and updated, various wireless assessment threshold values contained in the wireless assessment index standard values corresponding to all sub-areas are continuously improved and dynamically matched with the network performance state in real time, so that the network performance is further automatically optimized and adjusted to a more ideal state, the manual intervention is reduced, the purpose of network intelligent optimization is achieved, and the working efficiency of daily network optimization is improved.
The above embodiments are further described in detail below using a specific application scenario.
Referring to fig. 2, in the embodiment of the present invention, a detailed flow of performing network self-optimization is as follows:
step 200: the network side divides each service cell in the jurisdiction into a plurality of sub-areas.
Specifically, the network side (which may be a network management device or a base station) divides each service cell in the jurisdiction area into a plurality of sub-areas according to the geographical location information, and each sub-area index can be independently counted and inquired, and can be displayed in a map manner in the network management system, thereby being beneficial to achieving fine contrast analysis and evaluating the distribution condition of users.
Step 210: and the network side receives the geographical position identification and the wireless assessment index of the sub-area reported by the user terminal.
In this scenario, it is still described by taking reporting of one user terminal as an example, which may be expanded to application scenarios reported by multiple user terminals, and is not described herein again.
The geographical position identification reported by the user terminal can be displayed on line in a map mode in a network management system and can also be displayed off line, so that the user information can be positioned quickly, and the complaint problem can be solved.
Step 220: if the wireless assessment index of the sub-area does not reach or exceed the corresponding wireless assessment index threshold value, executing step 240; if so, go to step 230.
Under the normal condition, the wireless assessment index is just equal to the threshold value of the wireless assessment index under a very small probability, and if the condition occurs, performance optimization of the sub-area is not needed.
Step 230: and updating the wireless assessment index standard value of the sub-area according to the reported wireless assessment index.
Step 240: and acquiring wireless configuration information set by the wireless assessment index standard value of the corresponding sub-area.
Step 250: is it determined whether automatic adjustment is set? If yes, go to step 270; otherwise, step 260 is performed.
Step 260: is the preset timer judged to be overtime? If so, go to step 270, otherwise, not adjust the sub-region, and return to step 210.
The time length maintained by the timer is a time length threshold value representing the last adjustment of the current time distance.
Step 270: and adjusting the wireless configuration information of the sub-area.
For example, as illustrated in the capacity increasing scheme, if the connection rate of the feedback drive test indicator of at least one user equipment receiving the sub-area a at the network side is low, the network side first needs to determine whether the radio configuration information of the sub-area a related to the capacity increase is set reasonably. Assuming that a 2-time frame division multiplexing function is set in the current sub-area a, which is static, one carrier can only access 12 users at the same time, if the number of user terminals is greater than 12 in a short time, and the 13 th user terminal cannot access, at this time, the network side determines that the 2-time static frame division function is unreasonable to set, then according to the wireless configuration information corresponding to the wireless assessment index standard value of the sub-area a, it is recommended to start the dynamic frame division and frame division multiple 4 functions, and when the number of user terminals continuously increases (first 2 times, then 4 times), at most one carrier can access 24 users at the same time. The network side can automatically execute according to the optimization mode, and starts the corresponding function, so that the self-optimization purpose is achieved, and manual participation is not needed. Other characteristic schemes are similar methods, and need self-judgment at the network side, and give a reasonable optimization scheme by itself, which is not described in detail herein.
Therefore, the self-adaptive adjustment of the performance of each sub-area is realized, and the standard values of the wireless assessment indexes are different at different stages, are matched with the refinement degree of network optimization, and are continuously mature along with the network performance.
Of course, when the original wireless assessment index standard value is replaced, the wireless configuration information corresponding to the latest wireless assessment index standard value also needs to be stored and backed up as a new label, so that subsequent optimization and adjustment are facilitated.
Obviously, the system adopting the optimization mode has the advantages of automatic analysis, automatic optimization and self-learning, realizes intelligent network optimization, and is a future network optimization development trend. By adopting the optimization mode, manual actual drive test is not needed, each user terminal is equivalent to a drive test terminal, and people participate in auxiliary optimization test, so that network optimization construction is facilitated, the labor cost input is greatly reduced, and the test efficiency is improved.
Based on the above-mentioned embodiment, as described with reference to fig. 3, in the embodiment of the present invention, the network-side apparatus for network self-optimization at least includes a communication unit 30, a comparing unit 31, and an optimizing unit 32, wherein,
the communication unit 30 is configured to receive a geographic location identifier and a wireless assessment index, which are reported by a user terminal for a sub-area to which the user terminal belongs, where the sub-area is obtained by geographically dividing a serving cell governed by a network side;
the comparison unit 31 is configured to obtain a wireless assessment index standard value set corresponding to the sub-area based on the geographic position identifier, and compare the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result;
and the optimizing unit 32 is used for optimizing the network performance of the sub-area based on the wireless assessment standard value when the wireless assessment index does not reach the wireless assessment index standard value.
Preferably, further comprising:
a configuration unit 33, configured to, in the preprocessing phase, perform the following operations:
dividing each service cell in the jurisdiction range into a plurality of sub-regions according to the geographic position, wherein each sub-region corresponds to a geographic position identifier
And informing the division mode of the subareas to the terminal side.
Preferably, when the wireless assessment index does not reach the standard value of the wireless assessment index according to the comparison result, the comparing unit 31 is configured to:
and when any one of the wireless indexes contained in the wireless assessment indexes does not reach the corresponding assessment threshold value, determining that the wireless assessment indexes do not reach the assessment index standard value, wherein the wireless assessment index standard value is a set of the assessment threshold values of various wireless indexes contained in the wireless assessment indexes.
Preferably, when optimizing the network performance of the sub-area based on the radio qualification criterion, the optimizing unit 32 is configured to:
and acquiring wireless configuration information preset corresponding to the wireless assessment standard value, and reconfiguring the sub-area based on the wireless configuration information.
Preferably, when the sub-region is reconfigured based on the wireless configuration information, the optimizing unit 32 is configured to:
and judging whether the current time and the last configured time reach a set threshold value, and reconfiguring the sub-area based on the wireless configuration information when the set threshold value is determined to be reached.
Preferably, the comparing unit 31 is further configured to:
and when the wireless assessment indexes exceed the wireless assessment index standard values, setting the wireless assessment indexes as new wireless assessment index standard values, and resetting corresponding wireless configuration information.
In summary, in the embodiments of the present invention, for the purpose of network intelligent optimization, each serving cell is divided into a plurality of sub-regions, a geographic position identifier and a wireless assessment index of the sub-region are reported at any position of the serving cell through a user terminal, the wireless assessment index is compared with a corresponding wireless assessment index standard value based on the geographic position identifier, and when the wireless assessment index is determined not to reach the standard, the corresponding sub-region is reconfigured based on the wireless configuration information corresponding to the wireless assessment index standard value. Therefore, the network self-test can be realized, and the judgment standard can be made by self along with the self-learning process. Along with the large-scale deployment of the network, the user terminals are continuously improved, each user terminal can be used as a drive test terminal to participate in testing for the whole population, so that the network is continuously refined, system data is continuously accumulated and updated, the network side can automatically optimize the network performance to the optimal state, manual intervention is reduced, the purpose of intelligent optimization of the network is achieved, the working efficiency of daily network optimization is improved, and meanwhile, the operation cost is saved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present invention without departing from the spirit or scope of the embodiments of the invention. Thus, if such modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to encompass such modifications and variations.
Claims (8)
1. A method for network self-optimization, comprising:
a network side receives a geographical position identifier and a wireless assessment index which are reported by a user terminal aiming at a sub-region to which the user terminal belongs, wherein the sub-region is obtained by geographically dividing a service cell administered by the network side;
the network side obtains a wireless assessment index standard value which is set corresponding to the sub-area based on the geographic position identification, and compares the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result; when the wireless assessment indexes exceed the wireless assessment index standard values, setting the wireless assessment indexes as new wireless assessment index standard values, and resetting corresponding wireless configuration information;
and when the network side judges that any one wireless index contained in the wireless assessment index does not reach the corresponding assessment threshold value according to the comparison result, the wireless assessment index does not reach the assessment index standard value, wherein the wireless assessment index standard value is a set of the assessment threshold values of various wireless indexes contained in the wireless assessment index, and the network performance of the sub-area is optimized based on the wireless assessment standard value.
2. The method of claim 1, further comprising:
in the preprocessing phase, the following operations are performed:
the network side divides each service cell in the jurisdiction area into a plurality of sub-areas according to the geographical position, and each sub-area corresponds to a geographical position mark
The network side informs the terminal side of the partition mode of the sub-area.
3. The method of claim 1, wherein optimizing, by a network side, network performance of the sub-area based on the radio qualification criteria value comprises:
and the network side acquires wireless configuration information preset corresponding to the wireless assessment standard value and reconfigures the subareas based on the wireless configuration information.
4. The method of claim 3, wherein the network side reconfiguring the sub-region based on the radio configuration information comprises:
and the network side judges whether the time between the current time and the last configuration reaches a set threshold value or not, and reconfigures the sub-area based on the wireless configuration information when the set threshold value is determined to be reached.
5. An apparatus for network self-optimization, comprising:
the communication unit is used for receiving a geographical position identifier and a wireless assessment index reported by a user terminal aiming at a sub-region to which the user terminal belongs, wherein the sub-region is obtained by geographically dividing a service cell governed by a network side;
the comparison unit is used for obtaining a wireless assessment index standard value which is set corresponding to the sub-area based on the geographic position identification, and comparing the wireless assessment index standard value with the obtained wireless assessment index to obtain a comparison result; the wireless assessment index standard value is used for setting the wireless assessment index as a new wireless assessment index standard value when the wireless assessment index exceeds the wireless assessment index standard value, and resetting corresponding wireless configuration information;
and the optimization unit is used for determining that any one wireless index contained in the wireless assessment index does not reach the corresponding assessment threshold value, and determining that the wireless assessment index does not reach the assessment index standard value, wherein the wireless assessment index standard value is a set of the assessment threshold values of various wireless indexes contained in the wireless assessment index, and optimizing the network performance of the sub-area based on the wireless assessment standard value.
6. The apparatus of claim 5, further comprising:
a configuration unit for, in a pre-processing phase, performing the following operations:
dividing each service cell in the jurisdiction range into a plurality of sub-regions according to the geographic position, wherein each sub-region corresponds to a geographic position identifier
And informing the division mode of the subareas to the terminal side.
7. The apparatus of claim 5, wherein when optimizing the network performance of the sub-region based on the wireless qualification criteria value, the optimization unit is to:
and acquiring preset wireless configuration information corresponding to the wireless assessment standard value, and reconfiguring the subareas based on the wireless configuration information.
8. The apparatus of claim 7, wherein when the sub-region is reconfigured based on the radio configuration information, the optimization unit is to:
and judging whether the current time and the last configured time reach a set threshold value, and reconfiguring the subarea based on the wireless configuration information when the set threshold value is determined to be reached.
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| CN110876151A (en) * | 2018-09-03 | 2020-03-10 | 中兴通讯股份有限公司 | Wireless network service performance optimization method, terminal and storage medium |
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