CN114051262B - Antenna adjustment method, device, system and computer readable storage medium - Google Patents
Antenna adjustment method, device, system and computer readable storage medium Download PDFInfo
- Publication number
- CN114051262B CN114051262B CN202010711975.0A CN202010711975A CN114051262B CN 114051262 B CN114051262 B CN 114051262B CN 202010711975 A CN202010711975 A CN 202010711975A CN 114051262 B CN114051262 B CN 114051262B
- Authority
- CN
- China
- Prior art keywords
- antenna
- kpi
- value
- operator
- angle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
Abstract
The invention discloses an antenna adjustment method, an antenna adjustment device, an antenna adjustment system and a computer readable storage medium, and relates to the field of mobile communication. The antenna adjustment method comprises the following steps: testing the values of the preset KPI parameters of the first operator and the values of the preset KPI parameters of the second operator of the antenna under a plurality of antenna angles; determining the value of the measured comprehensive KPI corresponding to each tested antenna angle according to the preset weight, the value of the preset KPI parameter of the first operator under each antenna angle and the value of the preset KPI parameter of the second operator; obtaining the nominal integrated KPI value corresponding to each tested antenna angle from the database; determining a loss value corresponding to each tested antenna angle according to the measured value of the integrated KPI and the nominal value of the integrated KPI; and determining the antenna angle of the antenna according to the loss value. The embodiment of the invention measures the comprehensive KPI and the stability of the KPI of operators under a plurality of angles, and gives consideration to the coverage requirements of different operators.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to an antenna adjustment method, apparatus, system, and computer readable storage medium.
Background
In the 5G SA (stand alone networking) network co-establishment sharing technical scheme, 2 operators co-establish and share the same 5G SA wireless base station and use the same antenna. Only one set of downtilt and azimuth angles can be used for the same antenna.
Disclosure of Invention
After analysis, the inventor finds that the coverage requirements of 2 operators on the antennas are different, so that the same antenna can not give consideration to different KPI (Key Performance Indicator, key performance index) indexes aiming at the coverage requirements of different operators. Thus, the respective user experience of different operators may be affected.
One technical problem to be solved by the embodiment of the invention is as follows: how to improve the service quality of the antenna and the user experience.
According to a first aspect of some embodiments of the present invention, there is provided an antenna adjustment method, including: testing the value of a preset Key Performance Index (KPI) parameter of a first operator and the value of a preset KPI parameter of a second operator under the angles of a plurality of antennas, wherein the antennas are shared by the first operator and the second operator; determining the value of the measured comprehensive KPI corresponding to each tested antenna angle according to the preset weight, the value of the preset KPI parameter of the first operator under each antenna angle and the value of the preset KPI parameter of the second operator; obtaining the nominal integrated KPI value corresponding to each tested antenna angle from the database; determining a loss value corresponding to each tested antenna angle according to the measured value of the integrated KPI and the nominal value of the integrated KPI; and determining the antenna angle of the antenna according to the loss value.
In some embodiments, determining the angle of the antenna from the loss value comprises: and determining an antenna angle corresponding to the minimum value of the loss value as the antenna angle of the antenna.
In some embodiments, the antenna adjustment method further comprises: and updating the nominal integrated KPI value corresponding to the corresponding antenna angle in the database by using the value of the actually measured integrated KPI corresponding to the minimum value of the loss value.
In some embodiments, the antenna angle includes a downtilt angle and a azimuth angle.
In some embodiments, the loss value is determined from a gap between the measured value of the composite KPI and the nominal value of the composite KPI.
In some embodiments, for each antenna angle, testing values of the first operator's preset KPI parameters and values of the second operator's preset KPI parameters at one or more times; determining the value of the integrated KPI which corresponds to each tested antenna angle and is actually measured at one or more moments; determining a loss value corresponding to each tested antenna angle at one or more moments according to the measured value of the integrated KPI and the nominal value of the integrated KPI; a mathematical expectation of a loss value corresponding to each antenna angle at one or more times is determined, and an antenna angle corresponding to the smallest mathematical expectation is determined as the antenna angle of the antenna.
In some embodiments, determining the value of the measured composite KPI corresponding to each antenna angle of the test according to the preset weight and the value of the preset KPI parameter of the first operator at each antenna angle, and the value of the preset KPI parameter of the second operator comprises: and carrying out weighted summation on the value of the preset KPI parameter of the first operator and the value of the preset KPI parameter of the second operator under each antenna angle according to preset weights, and taking the weighted summation as the value of the actually measured comprehensive KPI corresponding to each tested antenna angle.
In some embodiments, the tested antenna angles include antenna angles recorded in a database, and the values of the nominal composite KPIs corresponding to the antenna angles recorded in the database are greater than a preset threshold.
According to a second aspect of some embodiments of the present invention, there is provided an antenna adjustment device, comprising: the system comprises a testing module, a first carrier and a second carrier, wherein the testing module is configured to test the value of a preset Key Performance Index (KPI) parameter of the first carrier and the value of a preset KPI parameter of the second carrier under the angles of a plurality of antennas, and the antennas are shared by the first carrier and the second carrier; the measured comprehensive KPI determining module is configured to determine a measured comprehensive KPI value corresponding to each tested antenna angle according to the preset weight, the preset KPI parameter value of the first operator under each antenna angle and the preset KPI parameter value of the second operator; a nominal overall KPI acquisition module configured to acquire a value of a nominal overall KPI corresponding to each antenna angle tested from a database; the loss value determining module is configured to determine a loss value corresponding to each tested antenna angle according to the measured value of the integrated KPI and the nominal integrated KPI; an antenna angle determination module configured to determine an antenna angle of the antenna based on the loss value.
According to a third aspect of some embodiments of the present invention, there is provided an antenna adjustment device, comprising: a memory; and a processor coupled to the memory, the processor configured to perform any of the foregoing antenna adjustment methods based on instructions stored in the memory.
According to a fourth aspect of some embodiments of the present invention, there is provided an antenna adjustment system comprising: an antenna, wherein the antenna is shared by a first operator and a second operator; and any of the foregoing antenna adjustment devices.
In some embodiments, the antenna is an antenna in a 5G independent networking SA sharing station.
According to a fifth aspect of some embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements any of the foregoing antenna adjustment methods.
Some of the embodiments of the above invention have the following advantages or benefits: when the test antenna is shared by a plurality of operators, the embodiment of the invention can measure the overall KPI and the stability of the KPI according to the operators under a plurality of angles, and can also consider the coverage requirements of different operators, thereby determining the antenna angle with better service quality and improving the user experience.
Other features of the present invention and its advantages will become apparent from the following detailed description of exemplary embodiments of the invention, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 illustrates a flow diagram of an antenna adjustment method according to some embodiments of the invention.
FIG. 2 illustrates a flow diagram of a database maintenance method according to some embodiments of the invention.
Fig. 3 illustrates a schematic structure of an antenna adjustment device according to some embodiments of the present invention.
Fig. 4 illustrates a schematic diagram of an antenna adjustment system according to some embodiments of the invention.
Fig. 5 is a schematic diagram showing the structure of an antenna adjustment device according to other embodiments of the present invention.
Fig. 6 shows a schematic structural diagram of an antenna adjustment device according to further embodiments of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Fig. 1 illustrates a flow diagram of an antenna adjustment method according to some embodiments of the invention. As shown in fig. 1, the antenna adjustment method of this embodiment includes steps S102 to S110.
In step S102, the antenna is tested for a value of a preset KPI parameter of a first operator and a value of a preset KPI parameter of a second operator at a plurality of antenna angles, wherein the antenna is shared by the first operator and the second operator.
In some embodiments, the antenna is an antenna in a 5G SA sharing station.
In some embodiments, the antenna angle includes a downtilt angle and a azimuth angle.
In some embodiments, the preset KPI parameters include delay, packet loss rate, peak rate, average rate, and so on. The preset KPI parameters of the first operator and the preset KPI parameters of the second operator may be the same or different. The choice of KPI parameters for each operator is determined based on the quality requirements of the operator in the current antenna coverage.
In step S104, according to the preset weights, the values of the preset KPI parameters of the first operator and the values of the preset KPI parameters of the second operator under each antenna angle, the measured integrated KPI value corresponding to each tested antenna angle is determined.
In some embodiments, the weights are determined based on experiments performed in advance, tests, or specified based on the experience of an expert. Because the importance of the individual KPI parameters is different from one operator to another, the overall KPI can be determined more accurately in this way. The antenna after adjustment can adapt to the requirements of different operators, and universality is better.
In some embodiments, the value of the preset KPI parameter of the first operator and the value of the preset KPI parameter of the second operator at each antenna angle are weighted and summed according to a preset weight to be used as the measured integrated KPI value corresponding to each antenna angle.
For example, the preset KPI parameters of the first operator include KPIs 11 、KPI 12 、……、KPI 1m The corresponding weights are w 11 、w 12 、……、w 1m The preset KPI parameters of the second operator comprise KPIs 21 、KPI 22 、……、KPI 2n The corresponding weights are w 21 、w 22 、……、w 2n . The measured composite KPI can be calculated by equation (1).
Z＝w 11 KPI 11 +w 12 KPI 12 +…+w 1m KPI 1m +w 21 KPI 21 +w 22 KPI 22 +…+w 2n KPI 2n (1)
In step S106, the values of the nominal composite KPIs corresponding to each antenna angle tested are obtained from the database.
Table 1 exemplarily shows the correspondence between the antenna angles and the values of the nominal integrated KPIs in the database. In table 1, the operator field indicates an operator using the antenna.
TABLE 1
| Operators (operators) | Dip angle | Direction angle | KPI nominal value |
| Operator A/B | X′ 1 | Y′ 1 | Z′ 1 |
| Operator A/B | X′ 2 | Y′ 2 | Z′ 2 |
| Operator A/B | … | … | … |
| Operator A/B | X′ k | Y′ k | Z′ k |
In some embodiments, the nominal values in the database are determined based on previous test results or are empirically set by an expert.
In some embodiments, the tested antenna angles include antenna angles recorded in a database, and the values of the nominal composite KPIs corresponding to the antenna angles recorded in the database are greater than a preset threshold. Namely, some antenna angles with good effects are recorded in the database, so that the test can be performed according to the antenna angles recorded in the database during the test, and the test efficiency is improved.
In some embodiments, the angles of the antennas are sequentially adjusted to the angles corresponding to the records in the database according to a preset sequence. For example, in order of nominal KPI composite value from high to low, or in order of update, etc.
In step S108, a loss value corresponding to each antenna angle tested is determined according to the measured value of the integrated KPI and the nominal value of the integrated KPI.
In some embodiments, the loss value is determined from a gap between the measured value of the composite KPI and the nominal value of the composite KPI.
In some embodiments, the loss value and the absolute value of the difference between the measured value of the composite KPI and the nominal value of the composite KPI are in positive correlation.
For example, the loss value is calculated using formula (2).
In formula (2), L (Z ', Z) represents a loss value, and Z' and Z represent a value of the measured integrated KPI and a value of the nominal integrated KPI, respectively, corresponding to the same antenna angle.
In step S110, the angle of the antenna is determined from the loss value.
In some embodiments, the antenna angle corresponding to the minimum of the loss values is determined as the antenna angle of the antenna.
In some embodiments, a plurality of test values may be acquired based on each tested antenna angle, a mathematical expectation of a loss value corresponding to each antenna angle may be calculated based on the plurality of test values, and an antenna angle corresponding to a minimum value of the mathematical expectation may be determined as the antenna angle of the antenna. For example, for each antenna angle, testing values of the preset KPI parameters of the first operator and values of the preset KPI parameters of the second operator at one or more moments; determining the value of the integrated KPI which corresponds to each tested antenna angle and is actually measured at one or more moments; determining a loss value corresponding to each tested antenna angle at one or more moments according to the measured value of the integrated KPI and the nominal value of the integrated KPI; a mathematical expectation of a loss value corresponding to each antenna angle at one or more times is determined, and an antenna angle corresponding to the smallest mathematical expectation is determined as the antenna angle of the antenna. Thus, the reliability of the data can be improved.
When the loss value or the mathematical expectation of the loss value is smaller, the difference between the current test value and the nominal value is not large, and the service quality of the antenna under the current antenna angle is closer to the ideal state or the historical state, so that more stable service can be provided for users. By the method of the embodiment, when the test antenna is shared by a plurality of operators, on one hand, the measurement can be carried out according to two dimensions of the comprehensive KPI and the stability of the KPI of the operators under a plurality of angles, and on the other hand, the coverage requirements of different operators are considered, so that the antenna angle with better service quality is determined, and the user experience is improved.
In addition, the embodiment has less modification to the network side, low implementation complexity and easy deployment. Under the condition that the antenna is a 5G SA sharing station, the embodiment is beneficial to implementation and development of a 5G SA network co-establishment sharing technical scheme.
In some embodiments, the contents of the database are updated according to the test results. An embodiment of the database record maintenance method of the present invention is described below with reference to fig. 2.
FIG. 2 illustrates a flow diagram of a database maintenance method according to some embodiments of the invention. As shown in fig. 2, the database maintenance method of this embodiment includes steps S202 to S212. Steps S202 to S210 correspond to steps S102 to S110 in the embodiment of fig. 1, and are not described here again.
In step S212, the value of the nominal composite KPI corresponding to the corresponding antenna angle in the database is updated with the value of the measured composite KPI corresponding to the minimum value of the loss value.
The minimum value of the loss value represents the test value closest to the nominal value. By the updating mode, the database can be finely adjusted based on the test result of each time, and the reliability of the nominal value is improved. Therefore, the antenna adjustment scheme model can be continuously optimized in an iterative mode, the accuracy and the efficiency of the next calculation of the model are gradually improved, and the service quality caused by the determined antenna angle is indirectly improved.
In some embodiments, the value of the nominal composite KPI corresponding to the corresponding antenna angle in the database may also be updated with the value of the measured composite KPI corresponding to the mathematically expected minimum value of the loss value.
The following describes exemplary application methods of some embodiments of the present invention in conjunction with an application example.
1. For a certain antenna of a certain 5G SA sharing station, initial downward inclination angle and direction angle values are set to be (12 degrees, 110 degrees)
2. The initial downtilt and direction angle (12, 110) is found from the database for a KPI nominal value of 235.
3. And obtaining actual measurement values of all KPI parameters from the network manager in real time. For example, at some point in time the values of the various KPI parameters measured at the downtilt and heading angle combination (6 °,120 °) are {200, 210, 220, 230, 240, 250, 260}, including the KPI parameters of the first operator and the KPI parameters of the second operator. Then, the value of the measured integrated KPI is calculated according to the preset weight.
4. Continuously adjusting the combinations of the downtilt angle and the direction angle, and calculating the mathematical expectation of the loss values corresponding to the combinations, wherein the minimum value of the mathematical expectation of the loss values is 12.5.
5. The combination of the downtilt angle and the direction angle corresponding to the minimum value of the number mathematical expectation of the loss value is determined to be (6 degrees, 120 degrees) and is taken as the optimal combination of the downtilt angle and the direction angle.
6. The record in the corresponding database is updated (6 deg., 120 deg.) to a nominal composite KPI value of 235.
By implementing the above embodiment for multiple times, the records in the database can be continuously adjusted, so that the antenna angle determining model is optimized, and the service quality and the user experience are improved.
An embodiment of the antenna adjustment device of the present invention is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structure of an antenna adjustment device according to some embodiments of the present invention. As shown in fig. 3, the antenna adjustment device 300 of this embodiment includes: a test module 3100 configured to test the values of the preset key performance indicator, KPI, parameters of the first operator and the values of the preset KPI parameters of the second operator at a plurality of antenna angles, wherein the antennas are shared by the first operator and the second operator; the measured comprehensive KPI determining module 3200 is configured to determine a measured comprehensive KPI value corresponding to each tested antenna angle according to a preset weight and a value of a preset KPI parameter of a first operator under each antenna angle, and a value of a preset KPI parameter of a second operator; a nominal composite KPI acquisition module 3300 configured to acquire from the database a value of the nominal composite KPI corresponding to each antenna angle tested; a loss value determining module 3400 configured to determine a loss value corresponding to each antenna angle tested according to the measured value of the composite KPI and the nominal value of the composite KPI; the antenna angle determination module 3500 is configured to determine an antenna angle of the antenna based on the loss value.
In some embodiments, the antenna angle determination module 3500 is further configured to determine an antenna angle corresponding to the minimum of the loss values as the antenna angle of the antenna.
In some embodiments, the antenna adjustment device 300 further comprises: an updating module 3600 configured to update the values of the nominal composite KPIs corresponding to the respective antenna angles in the database with the values of the measured composite KPIs corresponding to the minimum value of the loss value.
In some embodiments, the antenna angle includes a downtilt angle and a azimuth angle.
In some embodiments, the loss value is determined from a gap between the measured value of the composite KPI and the nominal value of the composite KPI.
In some embodiments, the test module 3100 is further configured to test the values of the preset KPI parameters of the first operator and the values of the preset KPI parameters of the second operator at one or more moments in time for each antenna angle; the measured composite KPI determination module 3200 is further configured to determine a value of the measured composite KPI at one or more moments corresponding to each antenna angle tested; the loss value determination module 3400 is further configured to determine a loss value for each antenna angle tested at one or more times based on the measured value of the composite KPI and the nominal value of the composite KPI; the antenna angle determination module 3500 is further configured to determine a mathematical expectation of a loss value corresponding to each antenna angle at one or more times, and determine an antenna angle corresponding to the smallest mathematical expectation as the antenna angle of the antenna.
In some embodiments, the measured composite KPI determination module 3200 is further configured to weight sum the value of the preset KPI parameter of the first operator and the value of the preset KPI parameter of the second operator at each antenna angle as a measured composite KPI value corresponding to each antenna angle tested according to a preset weight.
In some embodiments, the tested antenna angles include antenna angles recorded in a database, and the values of the nominal composite KPIs corresponding to the antenna angles recorded in the database are greater than a preset threshold.
An embodiment of the antenna adjustment system of the present invention is described below with reference to fig. 4.
Fig. 4 illustrates a schematic diagram of an antenna adjustment system according to some embodiments of the invention. As shown in fig. 4, the antenna adjustment system 40 of this embodiment includes: an antenna 410, wherein the antenna 410 is shared by the first operator and the second operator; and an antenna adjustment device 420, the specific embodiment of which can refer to the antenna adjustment device 300.
In some embodiments, the antenna is an antenna in a 5G SA sharing station.
Fig. 5 is a schematic diagram showing the structure of an antenna adjustment device according to other embodiments of the present invention. As shown in fig. 5, the antenna adjustment device 50 of this embodiment includes: a memory 510 and a processor 520 coupled to the memory 510, the processor 520 being configured to perform the antenna adjustment method of any of the previous embodiments based on instructions stored in the memory 510.
The memory 510 may include, for example, system memory, fixed nonvolatile storage media, and the like. The system memory stores, for example, an operating system, application programs, boot Loader (Boot Loader), and other programs.
Fig. 6 shows a schematic structural diagram of an antenna adjustment device according to further embodiments of the present invention. As shown in fig. 6, the antenna adjustment device 60 of this embodiment includes: the memory 610 and the processor 620 may also include an input-output interface 630, a network interface 640, a storage interface 650, and the like. These interfaces 630, 640, 650 and the memory 610 and processor 620 may be connected by, for example, a bus 660. The input/output interface 630 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. Network interface 640 provides a connection interface for various networking devices. The storage interface 650 provides a connection interface for external storage devices such as SD cards, U-discs, and the like.
An embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program, characterized in that the program, when executed by a processor, implements any one of the aforementioned antenna adjustment methods.
It will be appreciated by those skilled in the art that 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 non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) 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 flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts 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.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (13)
1. An antenna adjustment method, comprising:
testing the value of a preset Key Performance Index (KPI) parameter of a first operator and the value of a preset KPI parameter of a second operator under the angles of a plurality of antennas, wherein the antennas are shared by the first operator and the second operator;
determining the value of the measured comprehensive KPI corresponding to each tested antenna angle according to the preset weight, the value of the preset KPI parameter of the first operator under each antenna angle and the value of the preset KPI parameter of the second operator;
obtaining the nominal integrated KPI value corresponding to each tested antenna angle from the database;
determining a loss value corresponding to each tested antenna angle according to the measured value of the integrated KPI and the nominal value of the integrated KPI;
and determining the antenna angle of the antenna according to the loss value.
2. The antenna adjustment method of claim 1, wherein the determining the angle of the antenna from the loss value comprises:
and determining an antenna angle corresponding to the minimum value of the loss value as the antenna angle of the antenna.
3. The antenna adjustment method according to claim 1 or 2, further comprising:
and updating the nominal integrated KPI value corresponding to the corresponding antenna angle in the database by using the value of the actually measured integrated KPI corresponding to the minimum value of the loss value.
4. The antenna adjustment method of claim 1, wherein the antenna angle comprises a downtilt angle and a directional angle.
5. The antenna tuning method of claim 1, wherein the loss value is determined from a gap between the measured value of the composite KPI and the nominal value of the composite KPI.
6. The antenna adjustment method according to claim 1 or 5, wherein,
for each antenna angle, testing values of the preset KPI parameters of the first operator and values of the preset KPI parameters of the second operator at one or more moments;
determining the value of the integrated KPI which corresponds to each tested antenna angle and is actually measured at one or more moments;
determining a loss value corresponding to each tested antenna angle at one or more moments according to the measured value of the integrated KPI and the nominal value of the integrated KPI;
a mathematical expectation of a loss value corresponding to each antenna angle at one or more moments is determined, and an antenna angle corresponding to the smallest mathematical expectation is determined as the antenna angle of the antenna.
7. The antenna adjustment method according to claim 1, wherein the determining the measured integrated KPI value corresponding to each antenna angle according to the preset weight and the value of the preset KPI parameter of the first operator and the value of the preset KPI parameter of the second operator under each antenna angle includes:
and carrying out weighted summation on the value of the preset KPI parameter of the first operator and the value of the preset KPI parameter of the second operator under each antenna angle according to preset weights, and taking the weighted summation as the value of the actually measured comprehensive KPI corresponding to each tested antenna angle.
8. The antenna adjustment method of claim 1, wherein the tested antenna angle comprises an antenna angle recorded in a database, and the value of the nominal composite KPI corresponding to the antenna angle recorded in the database is greater than a preset threshold.
9. An antenna adjustment device, comprising:
the system comprises a testing module, a first operation module and a second operation module, wherein the testing module is configured to test the value of a preset Key Performance Index (KPI) parameter of a first operation operator and the value of a preset KPI parameter of a second operation operator under a plurality of antenna angles, and the antenna is shared by the first operation operator and the second operation operator;
the measured comprehensive KPI determining module is configured to determine a measured comprehensive KPI value corresponding to each tested antenna angle according to the preset weight, the preset KPI parameter value of the first operator under each antenna angle and the preset KPI parameter value of the second operator;
a nominal overall KPI acquisition module configured to acquire a value of a nominal overall KPI corresponding to each antenna angle tested from a database;
a loss value determining module configured to determine a loss value corresponding to each antenna angle tested according to the measured value of the integrated KPI and the nominal value of the integrated KPI;
an antenna angle determination module configured to determine an antenna angle of the antenna based on the loss value.
10. An antenna adjustment device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the antenna adjustment method of any of claims 1-8 based on instructions stored in the memory.
11. An antenna adjustment system, comprising:
an antenna, wherein the antenna is shared by a first operator and a second operator; and
the antenna adjustment device of claim 9 or 10.
12. The antenna adjustment system of claim 11, wherein the antenna is an antenna in a 5G independent networking SA sharing station.
13. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements the antenna adjustment method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010711975.0A CN114051262B (en) | 2020-07-22 | 2020-07-22 | Antenna adjustment method, device, system and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010711975.0A CN114051262B (en) | 2020-07-22 | 2020-07-22 | Antenna adjustment method, device, system and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114051262A CN114051262A (en) | 2022-02-15 |
| CN114051262B true CN114051262B (en) | 2023-10-13 |
Family
ID=80204275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010711975.0A Active CN114051262B (en) | 2020-07-22 | 2020-07-22 | Antenna adjustment method, device, system and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114051262B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104521152A (en) * | 2013-08-09 | 2015-04-15 | 华为技术有限公司 | Method and system for sharing antenna by multiple operators and radio-frequency digital conversion unit |
| CN108810921A (en) * | 2017-04-28 | 2018-11-13 | 中兴通讯股份有限公司 | A kind of Downtilt method of adjustment and device |
| CN109274397A (en) * | 2018-11-30 | 2019-01-25 | 维沃移动通信有限公司 | A kind of radio-frequency structure and terminal device |
| CN110300218A (en) * | 2018-03-23 | 2019-10-01 | 中兴通讯股份有限公司 | Method for adjusting performance and device, terminal, storage medium, electronic device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10798626B2 (en) * | 2018-02-21 | 2020-10-06 | Cellwize Wireless Technologies Ltd. | Method of managing a cellular network and system thereof |
-
2020
- 2020-07-22 CN CN202010711975.0A patent/CN114051262B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104521152A (en) * | 2013-08-09 | 2015-04-15 | 华为技术有限公司 | Method and system for sharing antenna by multiple operators and radio-frequency digital conversion unit |
| CN108810921A (en) * | 2017-04-28 | 2018-11-13 | 中兴通讯股份有限公司 | A kind of Downtilt method of adjustment and device |
| CN110300218A (en) * | 2018-03-23 | 2019-10-01 | 中兴通讯股份有限公司 | Method for adjusting performance and device, terminal, storage medium, electronic device |
| CN109274397A (en) * | 2018-11-30 | 2019-01-25 | 维沃移动通信有限公司 | A kind of radio-frequency structure and terminal device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114051262A (en) | 2022-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2912485B1 (en) | Positioning | |
| CN105163337B (en) | A method of the mobile network data geography mapping based on coverage prediction emulation | |
| US10153955B2 (en) | Network selection using current and historical measurements | |
| CN111867049B (en) | Positioning method, positioning device and storage medium | |
| CN109168177B (en) | Longitude and latitude backfill method based on soft mining signaling | |
| CN112218330B (en) | Positioning method and communication device | |
| CN107770783B (en) | Base station capacity expansion transformation scheme design method and related equipment | |
| CN111327377A (en) | Method, device, equipment and storage medium for field intensity prediction | |
| CN109982350B (en) | Cell coverage self-adaptive adjusting method and device | |
| WO2022022486A1 (en) | Processing method and processing apparatus for saving energy of base station | |
| CN105517019A (en) | Method for detecting LTE (Long Term Evolution) network performance by using integrated regression system | |
| CN109076403A (en) | The measurement model optimization that channel estimating improves in wireless network | |
| CN109991591B (en) | Positioning method and device based on deep learning, computer equipment and storage medium | |
| CN109495898B (en) | Quantitative prediction method and device for indexes of wireless network coverage | |
| Karra et al. | Prediction of received signal power in mobile communications using different machine learning algorithms: A comparative study | |
| CN102487516A (en) | Method and device for performing automatic plot planning optimization by utilizing drive test data | |
| CN106921978B (en) | Position distribution determination method and device | |
| CN114051262B (en) | Antenna adjustment method, device, system and computer readable storage medium | |
| CN109756970B (en) | Proximity relation wireless signal positioning method, device, equipment and storage medium | |
| CN109963301B (en) | Method and device for analyzing network structure interference | |
| CN106550447B (en) | Terminal positioning method, device and system | |
| CN102404844A (en) | Multi-method compound and accurate CDMA mobile terminal positioning method and system | |
| WO2022156226A1 (en) | Antenna configuration parameter optimization method and apparatus, and storage medium | |
| CN115942231A (en) | RSS-based 5G outdoor positioning method | |
| Loh et al. | Intelligent base station placement in urban areas with machine learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |