CN111148111A - Method, device and equipment for adjusting antenna parameters and computer storage medium - Google Patents

Method, device and equipment for adjusting antenna parameters and computer storage medium Download PDF

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CN111148111A
CN111148111A CN201911411578.5A CN201911411578A CN111148111A CN 111148111 A CN111148111 A CN 111148111A CN 201911411578 A CN201911411578 A CN 201911411578A CN 111148111 A CN111148111 A CN 111148111A
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angle
horizontal
lobe
main lobe
window
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CN111148111B (en
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蔡伟明
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China Mobile Zijin Jiangsu Innovation Research Institute Co ltd
China Mobile Communications Group Co Ltd
China Mobile Group Jiangsu Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Jiangsu Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01Q—ANTENNAS, i.e. RADIO AERIALS
    • H01Q3/00—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system
    • H01Q3/02—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system using mechanical movement of antenna or antenna system as a whole
    • H01Q3/08—Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system using mechanical movement of antenna or antenna system as a whole for varying two co-ordinates of the orientation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Variable-Direction Aerials And Aerial Arrays (AREA)

Abstract

The invention discloses an antenna parameter adjusting method, device and equipment and a computer storage medium. The method comprises the following steps: acquiring measurement reports of all cells corresponding to a target antenna and parameters of the target antenna, wherein the measurement reports comprise service sample data based on an angle of arrival (AOA); determining the current main lobe window service sample proportion of a target antenna according to the service sample data, wherein the current horizontal lobe angle of the target antenna is a first horizontal lobe angle; and under the condition that the current main lobe window service sample proportion is smaller than a first threshold corresponding to the first horizontal lobe angle, adjusting parameters of the target antenna, wherein the parameters comprise an azimuth angle and/or the horizontal lobe angle. According to the embodiment of the invention, the azimuth angle and/or the horizontal lobe angle of the antenna are/is optimized by analyzing the distribution condition of the service samples, so that the optimization efficiency and the user experience are improved.

Description

Method, device and equipment for adjusting antenna parameters and computer storage medium
Technical Field
The present invention relates to the field of information processing, and in particular, to a method, an apparatus, a device, and a computer storage medium for adjusting antenna parameters.
Background
With the continuous iterative update of communication services, the network demand is increasing, and how to improve the user experience is a key point of attention of each operator. The influence of parameters such as azimuth angle and downtilt angle of the antenna on signal coverage is particularly important. Because the antenna works in an outdoor environment for a long time, the azimuth angle of the antenna is deviated due to the weather influence of wind, rain and the like, the actual coverage area of the antenna is deviated from the pre-planned range, the network signal quality is influenced, and the user experience is reduced.
The existing optimization scheme of the antenna parameters usually depends on the analysis of the coverage direction by combining drive test data or statistical data with a map, or the coverage angle is surveyed on site, or the coverage adjustment is carried out by depending on the complaint position of a user.
Therefore, how to improve the efficiency of antenna parameter optimization including the antenna azimuth angle and the horizontal lobe angle, and further improve the signal quality becomes a problem to be solved.
Disclosure of Invention
The embodiment of the invention provides an antenna parameter adjusting method, an antenna parameter adjusting device, antenna parameter adjusting equipment and a computer storage medium, which can improve the optimization efficiency of an antenna azimuth angle and a horizontal lobe angle.
In a first aspect, the present application provides a method for adjusting antenna parameters, including: acquiring measurement reports of all cells corresponding to a target antenna and parameters of the target antenna, wherein the measurement reports comprise service sample data based on an antenna arrival Angle (AOA); determining the current main lobe window service sample proportion of a target antenna according to the service sample data, wherein the current horizontal lobe angle of the target antenna is a first horizontal lobe angle; and under the condition that the current main lobe window service sample proportion is smaller than a first threshold corresponding to the first horizontal lobe angle, adjusting parameters of the target antenna, wherein the parameters comprise an azimuth angle and/or the horizontal lobe angle.
In one possible implementation, determining a current main lobe window service sample proportion of a target antenna according to service sample data includes: respectively calculating a first quantity of first service sample data of all cells corresponding to a target antenna and a second quantity of second service sample data of the cells within a main lobe window range corresponding to the target antenna; and determining the ratio of the second number to the number as the current main lobe window service sample ratio of the target antenna.
In one possible implementation, in a case that a current main lobe window traffic sample ratio is smaller than a first threshold corresponding to a first horizontal lobe angle, adjusting a parameter of a target antenna includes: under the condition that the current horizontal lobe angle meets a preset adjusting condition, calculating a second horizontal lobe angle obtained by adding a first specified angle to the first horizontal lobe angle; predicting a second main lobe window service sample proportion corresponding to a second horizontal lobe angle; and under the condition that the second main lobe window business sample proportion is larger than a second threshold value, increasing the horizontal lobe angle of the target antenna to be a second horizontal lobe angle.
In one possible implementation, in a case that a current main lobe window traffic sample ratio is smaller than a first threshold corresponding to a first horizontal lobe angle, adjusting a parameter of a target antenna includes: under the condition that the current horizontal lobe angle of the target antenna does not meet the preset adjusting condition, or under the condition that the second main lobe window business sample proportion is not larger than a second threshold value, determining the maximum main lobe window business sample proportion corresponding to the first horizontal lobe angle; under the condition that the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle is larger than a first threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on a first preset angle; and under the condition that the difference value between the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle and the main lobe window service sample proportion is larger than a third threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on the first preset angle.
In one possible implementation, the horizontal lobe angle and the adjustment azimuth angle are increased under the condition that the current maximum main lobe window service sample occupation ratio is smaller than a first threshold corresponding to a first horizontal lobe angle, the difference value between the maximum main lobe window service sample occupation ratio and the main lobe window service sample occupation ratio is not larger than a third threshold, and the maximum main lobe window service sample occupation ratio corresponding to a second horizontal lobe angle is larger than a second threshold; or, under the condition that the current maximum main lobe window service sample occupation ratio is smaller than a first threshold corresponding to the first horizontal lobe angle, the difference value between the maximum main lobe window service sample occupation ratio and the main lobe window service sample occupation ratio is not larger than a third threshold, and the difference value between the maximum main lobe window service sample occupation ratio corresponding to the second horizontal lobe angle and the main lobe window service sample occupation ratio corresponding to the second horizontal lobe angle is larger than the third threshold, the horizontal lobe angle is increased and the azimuth angle is adjusted.
In one possible implementation, before adjusting the parameters of the target antenna, the method further comprises: determining a first threshold and a second threshold; wherein determining the first threshold and the second threshold comprises: acquiring antenna parameters of a plurality of antennas in a whole network within a preset time period and a main lobe window service sample ratio corresponding to horizontal lobe angles of the plurality of antennas, wherein the horizontal lobe angles comprise category identification information; determining a plurality of antennas corresponding to a first class horizontal lobe angle consistent with the class identification information of the first horizontal lobe angle of the target antenna; calculating the sum of the third quantity of the third service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the fourth quantity of the fourth service sample data of the cells in the range of the main lobe window corresponding to the multiple antennas; and determining the ratio of the sum of the third quantity and the sum of the fourth quantity as the current first threshold value of the target antenna.
In one possible implementation, before adjusting the azimuth angle of the target antenna to the second azimuth angle based on the first preset angle, the method further includes: determining a third threshold corresponding to the first horizontal lobe angle; wherein, determining a third threshold corresponding to the first horizontal lobe angle comprises: under the condition that the current horizontal lobe angle of the target antenna meets a preset adjusting condition, calculating a third horizontal lobe angle obtained by adding a second specified angle to the first horizontal lobe angle; predicting a third main lobe window service sample proportion corresponding to a third horizontal lobe angle; determining a difference value between the third main lobe window service sample proportion and the first main lobe window service sample proportion; and determining the difference value as a third threshold value corresponding to the first horizontal lobe angle.
In one possible implementation, determining a maximum main lobe window traffic sample fraction corresponding to a first horizontal lobe angle includes: identifying the ratio of the main lobe window service samples through the main lobe window to determine the maximum ratio of the main lobe window service samples corresponding to the first horizontal lobe angle; and the difference value between the central position of the maximum main lobe window and the central position of the main lobe window is a first preset angle.
In one possible implementation, under the condition that the main lobe window slides towards the first direction by a first preset angle, the azimuth angle of the target antenna is rotated clockwise by the first preset angle; and under the condition that the main lobe window slides towards the second direction by a first preset angle, rotating the azimuth angle of the target antenna by the first preset angle anticlockwise.
In one possible implementation, the preset adjustment condition includes: the current horizontal lobe angle of the target antenna is in a non-fixed type, and the current horizontal lobe angle of the target antenna does not reach the upper limit of the horizontal lobe angle.
In a second aspect, an embodiment of the present invention provides an apparatus for adjusting antenna parameters, where the apparatus includes: an obtaining module, configured to obtain measurement reports of all cells corresponding to a target antenna and parameters of the target antenna, where the measurement reports include service sample data based on an AOA angle; a determining module, configured to determine, according to the service sample data, a current main lobe window service sample proportion of the target antenna, where a current horizontal lobe angle of the target antenna is a first horizontal lobe angle; an adjusting module, configured to adjust a parameter of the target antenna when the current ratio of the main lobe window service sample is smaller than a first threshold corresponding to the first horizontal lobe angle, where the parameter includes: azimuth and/or horizontal lobe angle.
In a third aspect, an embodiment of the present invention provides a computing device, where the device includes: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the method for adjusting antenna parameters according to the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the method for adjusting an antenna parameter according to the embodiment of the present invention is implemented.
According to the method, the device, the equipment and the computer storage medium for adjusting the antenna parameters, the current main lobe window service sample ratio of the target antenna is determined by actively analyzing the service sample distribution condition in the MR report, and the azimuth angle and/or the horizontal lobe angle of the antenna are/is optimized under the condition that the main lobe window service sample ratio is smaller than the preset threshold value, so that the optimization efficiency and the user experience can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of an antenna parameter adjustment method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for adjusting antenna parameters according to an embodiment of the present invention;
fig. 3 is a schematic diagram of service sample data according to an embodiment of the present invention;
fig. 4 is a schematic diagram of another service sample data provided in the embodiment of the present invention;
fig. 5 is a schematic flowchart illustrating another method for adjusting antenna parameters according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a measurement report collection according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of another measurement report acquisition provided by an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an apparatus for adjusting antenna parameters according to an embodiment of the present invention;
fig. 9 is a schematic diagram of an exemplary hardware architecture provided by an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
With the continuous iterative update of communication services, the network demand is increasing, how to exert the resource efficiency to the maximum extent and improve the network value, thereby improving the user perception, which is the key point of attention of each operator. The influence of work parameters such as azimuth angles and downward inclination angles of the antennas on coverage is particularly important, the selection of reasonable antenna azimuth angles and horizontal lobe angles is more and more important for improving user perception of a service dense area covered by a cell, the antenna working in an outdoor environment for a long time is inevitably influenced by wind, rain, snow, hail and the like, the azimuth angle of the antenna deviates, the actual coverage area deviates from the range of a planning design, the change of the coverage area causes interference to adjacent cells, the switching is frequent, the network call quality and the user perception are seriously influenced, and the user complaints are increased.
However, the traditional antenna azimuth angle optimization is mainly divided into two parts: active optimization: daily antenna feeder data maintenance is mainly performed by a maintenance agent according to a routing inspection plan by using tools such as an antenna attitude instrument, a level meter and the like, and a maintenance agent finds abnormality through comparison between a site and the data of the data management in the routing inspection process, so that the data maintenance of the data management is further performed; or the company initiates special general investigation topic optimization activities according to the work requirements; a large amount of manpower and material resources are consumed in the whole process, and the accuracy of the data is greatly influenced by the professional ability and responsibility of related personnel.
Passive optimization: in daily network optimization work, due to reasons such as test abnormity, customer complaints and the like, network optimization personnel can carry out antenna feeder optimization as required through problem root cause analysis, and the situation that the antenna feeder optimization is unreasonable and not fine can occur; taking customer complaints as an example, sometimes network optimization personnel, in order to solve the problem of the complaint customers, may be biased to the location of the complaint customers during the adjustment of the azimuth angle of the antenna, and neglect other users in the cell, resulting in potential hidden troubles of the network.
Therefore, the existing azimuth angle optimization scheme usually relies on the analysis of the coverage direction by combining drive test data or statistical data with a map, or on-site investigation of the coverage angle, or on the basis of the position of complaint of a user for coverage adjustment. The optimization of the horizontal lobe angle is not considered, and with the continuous construction of large-scale array antennas (Massive MIMO), the horizontal lobe angle will be referred to as a meeting schedule.
In order to solve the problem of passively optimizing the azimuth angle and the horizontal lobe angle at present, the distribution situation of service samples in a Measurement Report (Measurement Report, MR) can be analyzed, the current ratio of main lobe window service samples of a target antenna is determined, and the azimuth angle and/or the horizontal lobe angle of the antenna are/is optimized under the condition that the ratio of the main lobe window service samples is smaller than a preset threshold value, so that the problem of passively optimizing the azimuth angle and the horizontal lobe angle in the past can be solved. Based on this, the embodiment of the invention provides an adjusting method of antenna parameters.
The following describes a method for adjusting antenna parameters according to an embodiment of the present invention.
Fig. 1 is a flowchart illustrating an antenna parameter adjustment method according to an embodiment of the present invention.
As shown in fig. 1, the method for adjusting antenna parameters may include S101-S103, where the method is applied to a server, and specifically as follows:
s101, acquiring a current Measurement Report (MR) of a target antenna, wherein the Measurement Report comprises service sample data based on an AOA angle.
S102, determining the current main lobe window service sample ratio of the target antenna according to the service sample data, wherein the current horizontal lobe angle of the target antenna is a first horizontal lobe angle.
And S103, under the condition that the ratio of the current main lobe window service sample is smaller than a first threshold corresponding to the first horizontal lobe angle, adjusting the azimuth angle and/or the horizontal lobe angle of the target antenna.
According to the method for adjusting the antenna parameters, the current ratio of the main lobe window service samples of the target antenna is determined by analyzing the service sample distribution condition in the MR report, and the azimuth angle and/or the horizontal lobe angle of the antenna are/is optimized under the condition that the ratio of the main lobe window service samples is smaller than the preset threshold value, so that the problem of passively optimizing the azimuth angle and the horizontal lobe angle in the past can be avoided, the optimization efficiency is improved, and the user experience is improved.
The contents of S101-S102 are described below:
first, referring to S101, in an embodiment, a measurement report MR is measurement data reported by an online user in real time, which can truly reflect a current network operation state, and has a strong guiding significance for evaluating network quality and developing optimization in a targeted manner.
The coverage of the normal direction of the horizontal plane of the antenna broadcast beam is obviously better than that of the non-normal direction (about 3-30 dB). When the capacity hotspot is located in the non-normal direction in the cell, the user perception of the hotspot area is relatively poor, and the utilization rate of wireless resources is increased due to a lower-order modulation mode and a higher error rate, so that the overall user experience of the cell is reduced, and the flow is suppressed.
Wherein, the arrival angle (mr. aoa) of the service sample data antenna is an estimated angle of a user relative to a reference direction, and the measurement reference direction is a north direction and a counterclockwise direction. The method can assist in determining the position of the user, provide positioning service, perform coverage analysis and achieve the accuracy of 5 degrees. The measurement data represents the number of samples of the antenna arrival angle counted according to the sub-regions, which meet the condition of the value range in the counting period of the wireless operation and maintenance center (OMC-R). As shown in table 1, the distribution of the measurement data intervals is divided into 720 intervals by 0.5 degree.
TABLE 1 first measurement data Table
Figure BDA0002350096830000081
The specific measurement report statistics data is shown in table 2, for example, the number of traffic samples in the mr.aoa.00 range with ID 10026 is 567.
TABLE 2 second measurement data Table
CellId MR.AOA.00 … MR.AOA.71
10026 567 … 122
10236 231 … 567
According to the MR.AOA data reported by the user terminal, the number of service samples and the ratio of the service samples in the range of the cell main lobe window can be counted; here, the antenna half power Angle (or horizontal lobe Angle) is defined as a main lobe window range, and an Angle of arrival (AOA) is an incident Angle at which a terminal transmits a signal to a base station antenna. If the horizontal lobe angle is 90 °, the service sample ratio of the user in the range of 45 ° on the left and right sides of the azimuth angle is represented. Next, the current main lobe window traffic sample ratio of the target antenna can be determined in S102.
Secondly, referring to S102, in the step of determining the current main lobe window service sample ratio of the target antenna according to the service sample data in S102, the method specifically includes:
respectively calculating a first quantity of first service sample data of all cells corresponding to a target antenna and a second quantity of second service sample data of the cells within a main lobe window range corresponding to the target antenna; and determining the ratio of the second number to the number as the current main lobe window service sample ratio of the target antenna.
Because the MR report is based on the logical cell as a unit, the sample data reported by all users under the cell is counted, but the antenna adjustment is based on the sector as a unit, when counting the service samples, all logical cells under the antenna are counted, the samples of the AOA angles of all the logical cells are summed, the total samples of all the cells are summed, and the total service sample ratio is calculated. For example, a sector antenna of a Time Division Long Term Evolution (TD-LTE) network may only include an F-band cell or a D-band cell, and may also include an F-band cell and a D-band cell, the F-band may include an F1 frequency cell, an F1 frequency cell, an F2 frequency cell, an F1+ F2 frequency cell, the D-band may include a D1 frequency cell, a D1+ D2 cell, a D1+ D3 cell, a D2+ D3 cell, a D1+ D2+ D3 frequency cell, and a FAD antenna, and includes a combined cell of the F-band and the D-band.
If the sample of AOA angle is YAOAThen the total sample of the antenna direction cell is YallIf the main lobe window is-theta, the total sample of the antenna direction cell is YallSample of angle with AOA is YAOARespectively as follows:
Figure BDA0002350096830000091
Figure BDA0002350096830000092
the ratio of main lobe window business samples is Yrate＝Yθ/Yall。
Where θ represents one-half of the horizontal lobe angle, if the horizontal lobe angle is 65 °, θ is 32.5 °, and- θ is 360 ° - θ.
Finally, referring to S103, for an antenna of a second Generation mobile communication technology (2rd-Generation, 2G)/third Generation mobile communication technology (3rd-Generation, 3G)/fourth Generation mobile communication technology (4rd-Generation, 4G) network, if the ratio of the antenna main lobe range samples is smaller than a threshold (threshold 1), it indicates that the antenna azimuth angle or the horizontal lobe angle is not reasonable, and a reasonable antenna azimuth angle or a reasonable horizontal lobe angle needs to be found; the main lobe window with the largest service sample proportion can be found through the left-right sliding of the main lobe window, if the service sample proportion of the largest main lobe window is larger than a first threshold (namely threshold 1), the azimuth angle is adjusted, and the adjusted azimuth angle is the central position of the largest main lobe window. If the maximum main lobe window service sample proportion is smaller than a first threshold (namely threshold 1), but the maximum main lobe window service sample proportion exceeds a third threshold (namely threshold 2) compared with the original main lobe window service sample proportion, the azimuth angle can be adjusted.
For a large-scale array antenna, optimization of a horizontal lobe angle can be preferentially considered, judgment of increasing the horizontal lobe angle is considered only within an effective value range of the horizontal lobe angle, and the larger the lobe angle is, the larger the ratio of a main lobe window is, so that downshift cannot be met under the condition that the ratio of a current horizontal lobe angle service sample cannot be met; if the ratio of the traffic samples in the range of the horizontal lobe angle 65 ° is smaller than the first threshold (i.e., threshold 1), the statistics is performed to determine whether the ratio of the traffic samples in the range of the horizontal lobe angle 90 ° is larger than the third threshold (i.e., threshold 11), and if so, the horizontal lobe angle may be increased.
If the main lobe window traffic sample ratio is still less than the second threshold (i.e. threshold 11), then preferentially go to the azimuth optimization mode, add no horizontal lobe, and operate according to the azimuth optimization mode (same as the adjustment of 2/3/4G network antenna).
If a simple azimuth angle adjusting scheme cannot be found, switching to a horizontal lobe angle + azimuth angle adjusting mode, if the horizontal lobe angle is increased, the condition that the occupation ratio of the main lobe window service sample is larger than a threshold (threshold 11) still cannot be met, but the maximum occupation ratio of the main lobe window service sample is larger than the threshold (threshold 11) through the sliding of the main lobe window to the maximum value, and optimizing according to the horizontal lobe angle + azimuth angle adjusting scheme; if the conditions are not met, but the ratio of the maximum main lobe window service sample is larger than the ratio of the original main lobe window service sample by more than a threshold (threshold 2), optimizing according to a scheme of increasing the horizontal lobe angle and adjusting the azimuth angle, and entering an ending state in other modes.
In the above step related to adjusting the horizontal lobe angle of the target antenna when the current ratio of the main lobe window service sample is smaller than the first threshold corresponding to the first horizontal lobe angle, the method specifically includes the following steps: under the condition that the current horizontal lobe angle meets a preset adjusting condition, calculating a second horizontal lobe angle obtained by adding a first specified angle to the first horizontal lobe angle; predicting a second main lobe window service sample proportion corresponding to a second horizontal lobe angle; and under the condition that the second main lobe window business sample proportion is larger than a second threshold value, increasing the horizontal lobe angle of the target antenna to be a second horizontal lobe angle.
Calculating a main lobe window service sample proportion according to the horizontal beam width of the antenna, and acquiring the main lobe window service sample proportion corresponding to the horizontal lobe angle of the whole network in a preset time period, wherein the horizontal lobe angle comprises category identification information; determining a plurality of antennas corresponding to a first class horizontal lobe angle consistent with the class identification information of the first horizontal lobe angle of the target antenna; calculating the sum of the third quantity of the third service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the fourth quantity of the fourth service sample data of the cells in the range of the main lobe window corresponding to the multiple antennas; and determining the ratio of the sum of the third quantity to the sum of the fourth quantity as a current first threshold value of the target antenna, namely a threshold 1. If the ratio of the main lobe window service samples of the antenna is not more than the threshold 1, the fact that the parameters of the antenna are unreasonable is shown, and adjustment is needed.
For a large-scale array antenna (Massive MIMO), optimization of a horizontal lobe angle is preferentially considered, and in a range of an effective value of the horizontal lobe angle (as shown in table 3), a first level of horizontal lobe angle is added upwards (other parameters such as a vertical lobe angle and a downward inclination angle are not changed, and the horizontal lobe angle cannot be added if the horizontal lobe angle cannot be found upwards, that is, the preset adjustment condition is not met.
TABLE 3 horizontal lobe angle parameter table
Scene # Horizontal wave width Vertical wave width Electric lower inclination angle
S1 90° 8° [-15,15]
S2 65° 8° [-15,15]
S3 45° 8° [-15,15]
S4 25° 8° [-15,15]
S5 90° 17° [-15,15]
S6 65° 17° [-15,15]
S7 45° 17° [-15,15]
S8 25° 17° [-15,15]
S9 15° 17° [-15,15]
S10 65° 35° 0
S11 45° 35° 0
S12 25° 35° 0
S13 15° 35° 0
As shown in fig. 3, the adjustment of the horizontal lobe angle is to increase the horizontal lobe angle according to that the horizontal lobe angle is within the range of the effective value, determine whether the new occupation ratio of the horizontal lobe angle sample meets the requirement, and adjust the horizontal lobe angle if the occupation ratio of the main lobe window service sample is greater than the threshold 11 value after the horizontal lobe angle is increased. As shown in the figure below, the original main lobe window (horizontal lobe angle 65 °) is in the solid line range, and the new main lobe window (horizontal lobe angle 90 °) is in the dashed line range.
The preset adjustment conditions include: the current horizontal lobe angle of the target antenna is in a non-fixed type, and the current horizontal lobe angle of the target antenna does not reach the upper limit of the horizontal lobe angle. The horizontal lobe angle of the current large-scale array antenna (Massive MIMO) is non-fixed. The horizontal wave width in table 3 can be larger than the current parameter value, that is, the current horizontal lobe angle does not reach the upper limit of the horizontal lobe angle, and the preset adjustment condition is also satisfied.
In the above step related to adjusting the azimuth angle of the target antenna when the current ratio of the main lobe window service sample is smaller than the first threshold corresponding to the first horizontal lobe angle, the method specifically includes the following steps: under the condition that the current horizontal lobe angle of the target antenna does not meet the preset adjusting condition, or under the condition that the second main lobe window business sample proportion is not larger than a second threshold value, determining the maximum main lobe window business sample proportion corresponding to the first horizontal lobe angle;
under the condition that the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle is larger than a first threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on a first preset angle;
and under the condition that the difference value between the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle and the main lobe window service sample proportion is larger than a third threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on the first preset angle.
Wherein, the determining the ratio of the maximum main lobe window service sample corresponding to the first horizontal lobe angle specifically may include: in one possible implementation, determining a maximum main lobe window traffic sample fraction corresponding to a first horizontal lobe angle includes: and according to the first preset angle, identifying the main lobe window business sample proportion through the main lobe window so as to determine the maximum main lobe window business sample proportion corresponding to the first horizontal lobe angle.
The step of identifying the ratio of the main lobe window service samples through the main lobe window to determine the maximum ratio of the main lobe window service samples corresponding to the first horizontal lobe angle may specifically be: rotating the azimuth angle of the target antenna clockwise by a first preset angle under the condition that the main lobe window slides by the first preset angle towards the first direction; and under the condition that the main lobe window slides towards the second direction by a first preset angle, rotating the azimuth angle of the target antenna by the first preset angle anticlockwise. And the central position of the main lobe window with the maximum service sample ratio determined by the sliding main lobe window is the adjusted azimuth angle.
As shown in fig. 4, the original main lobe window in the solid line range slides towards the left, a new main lobe window in the dashed line range is determined, and the main lobe window traffic sample ratio after sliding the main lobe window is obviously increased. If the main lobe window slides towards the right side, the largest main lobe window is found, the azimuth angle rotates anticlockwise, and the sliding degree represents the anticlockwise adjustment degree of the azimuth angle; if the main lobe window slides towards the left side, the largest main lobe window is found, the azimuth angle rotates clockwise, and the sliding degree represents the clockwise adjustment degree of the azimuth angle. E.g. a main lobe window sliding 25 to the left, indicating a clockwise rotation of 25 in azimuth. Typically the adjustment in azimuth is at least 5 °, preferably no more than 60 ° and preferably greater than 90 ° from the neighbor sector, which would otherwise affect other sectors of the same station.
And under the condition that the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle is larger than a first threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on a first preset angle.
Or, under the condition that the difference value between the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle and the main lobe window service sample proportion is larger than a third threshold value, the azimuth angle of the target antenna is adjusted to the second azimuth angle based on the first preset angle.
That is, if the maximum main lobe window service sample ratio is greater than the first threshold (threshold 1) or (the maximum main lobe window service sample ratio-main lobe window service sample ratio) is greater than the third threshold (threshold 2), the azimuth angle is optimally adjusted, and the main lobe window central position of the maximum service sample ratio determined by the sliding main lobe window is the adjusted azimuth angle.
In another embodiment, when the current ratio of the main lobe window traffic samples is less than a first threshold corresponding to a first horizontal lobe angle, the difference between the maximum ratio of the main lobe window traffic samples and the ratio of the main lobe window traffic samples is not greater than a third threshold, and the ratio of the maximum ratio of the main lobe window traffic samples corresponding to a second horizontal lobe angle is greater than a second threshold, the horizontal lobe angle is increased and the azimuth angle is adjusted;
or, under the condition that the current ratio of the main lobe window service samples is smaller than a first threshold corresponding to the first horizontal lobe angle, the difference value between the maximum ratio of the main lobe window service samples and the ratio of the main lobe window service samples is not larger than a third threshold, and the difference value between the maximum ratio of the main lobe window service samples corresponding to the second horizontal lobe angle and the ratio of the main lobe window service samples corresponding to the second horizontal lobe angle is larger than the third threshold, the horizontal lobe angle is increased and the azimuth angle is adjusted.
That is to say, under the condition that the adjustment condition of the horizontal lobe angle is not satisfied, and the adjustment condition of the azimuth angle is not satisfied, the adjustment optimization mode of increasing the horizontal lobe angle + the azimuth angle is switched to, the largest main lobe window service sample occupation ratio after the horizontal lobe angle is increased is judged, whether the largest main lobe window service sample occupation ratio is greater than the threshold 11 (i.e., the second threshold) is judged, and if so, the horizontal lobe angle + the adjustment azimuth angle is increased. Or, if the condition (maximum main lobe window traffic sample ratio-main lobe window traffic sample ratio) is greater than the threshold 2 (i.e., the third threshold), the horizontal lobe angle + the adjustment azimuth angle is increased. Otherwise, no adjustment is made.
As an implementation manner of the present application, in order to accurately determine whether the parameter of the antenna needs to be adjusted, before S103, a dynamic first threshold and a dynamic second threshold need to be determined, and determining the first threshold and the second threshold may include the following steps:
acquiring a main lobe window service sample proportion corresponding to a horizontal lobe angle of the whole network in a preset time period, wherein the horizontal lobe angle comprises category identification information; determining a plurality of antennas corresponding to a first class horizontal lobe angle consistent with the class identification information of the first horizontal lobe angle of the target antenna; calculating the sum of the third quantity of the third service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the fourth quantity of the fourth service sample data of the cells in the range of the main lobe window corresponding to the multiple antennas; and determining the ratio of the sum of the third quantity and the sum of the fourth quantity as the current first threshold value of the target antenna.
The first threshold, namely the threshold 1 value, varies with the size of the horizontal lobe angle, for example, the threshold 1 values of the 65 ° main lobe window and the 90 ° main lobe window are not necessarily equal, and simultaneously vary with different geographical network azimuth angle plans and optimization results, and the threshold 1 value optimized each time is dynamic and not fixed.
And after the second threshold value, namely the threshold 11 value, is increased by one gear through calculating the current horizontal lobe angle, the increased horizontal lobe angle is obtained. Acquiring a main lobe window service sample proportion corresponding to an increased horizontal lobe angle of the whole network in a preset time period, wherein the increased horizontal lobe angle comprises category identification information; determining a plurality of antennas consistent with the category identification information of the increased horizontal lobe angle of the target antenna; calculating the sum of the quantity of the service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the quantity of the service sample data of the cells in the range of the main lobe window corresponding to the multiple antennas; determining the ratio of the two numbers as the current first threshold value of the target antenna
If the current horizontal lobe angle is 65 °, the threshold 11 value is the threshold 1 value where the horizontal lobe angle after increasing the horizontal lobe angle is 90 °.
As an implementation manner of the present application, in order to accurately determine whether a parameter of an antenna needs to be adjusted, before S103, a third threshold corresponding to a dynamic first horizontal lobe angle needs to be determined, and determining the third threshold may include the following steps: under the condition that the current horizontal lobe angle of the target antenna meets a preset adjusting condition, calculating a third horizontal lobe angle obtained by adding a second specified angle to the first horizontal lobe angle; predicting a third main lobe window service sample proportion corresponding to a third horizontal lobe angle; determining a difference value between the third main lobe window service sample proportion and the first main lobe window service sample proportion; and determining the difference value as a third threshold value corresponding to the first horizontal lobe angle.
The third threshold, i.e. the threshold 2 value, can be obtained by the difference between the service sample proportion counted in the range of horizontal lobe angle +15 ° (adjustable) and the original main lobe window service sample, if the service sample proportion of the original main lobe window is 70%, and the service sample proportion increased by 15 ° is 76%, then the threshold 2 is 6%.
In summary, the method for adjusting antenna parameters provided in the embodiments of the present invention can determine the current ratio of main lobe window service samples of a target antenna by actively analyzing the service sample distribution in an MR report, and optimize the azimuth angle and/or the horizontal lobe angle of the antenna under the condition that the ratio of the main lobe window service samples is smaller than a preset threshold, so as to avoid the problem of passively optimizing the azimuth angle and the horizontal lobe angle in the past, improve the optimization efficiency, and improve the user experience. And the maximum main lobe window is searched by sliding the main lobe window left and right, the optimized azimuth position is automatically obtained, and an azimuth adjusting scheme is obtained, such as the azimuth is rotated clockwise or anticlockwise for a certain degree, so that the formulation efficiency of the azimuth optimizing scheme is improved, and the operation and maintenance cost of a field manufacturing scheme is reduced.
In addition, based on the above method for adjusting the antenna parameters, an embodiment of the present invention further provides a method for adjusting the antenna parameters, which is described in detail with reference to fig. 2.
Fig. 2 is a schematic flowchart of a method for adjusting antenna parameters according to an embodiment of the present invention.
The details are as follows:
s210, judging whether the ratio of the main lobe window sample is greater than a threshold 1, if so, ending; if not, the process proceeds to S220.
And S210, judging whether the parameters of the antenna are reasonable or not by judging whether the ratio of the main lobe window samples is greater than a threshold 1 or not. It is reasonable to provide that the service sample proportion in the main lobe window is greater than a certain threshold (threshold 1), and according to the 'pareto' rule, it is considered that the azimuth angle and the horizontal lobe angle of 80% of the antennas of the existing network have no problem and do not need to pay attention, only the poorer azimuth angle and the poorer horizontal lobe angle of 20% of the antennas need to be optimized, and the threshold 1 value is changed along with the size of the horizontal lobe angle.
S220, judging whether the horizontal lobe angle can be increased or not, and if so, entering S230; if not, the process proceeds to S240.
Referring to S220, for a large-scale array antenna (Massive MIMO), if the current ratio of the main lobe window service sample is smaller than a threshold 1, the horizontal lobe angle is optimized in priority, and at this time, it needs to be determined first whether the horizontal lobe angle can be increased by increasing one level of the horizontal lobe angle upwards (other parameters such as the vertical lobe angle and the downward tilt angle are not changed, and it is not found upwards, which indicates that the horizontal lobe angle cannot be increased), and if the current horizontal lobe angle can be increased by one level upwards, it indicates whether the horizontal lobe angle can be increased.
S230, calculating that the ratio of the main lobe window samples is larger than a threshold 11 after the horizontal lobe angle is increased, if so, entering the step of increasing the horizontal lobe angle in S231; if not, the process proceeds to S240.
S240, judging whether the occupation ratio of the maximum main lobe window service sample is greater than a threshold 1, if so, entering the step of S241 adjusting the azimuth; if not, the process proceeds to S250.
Referring to S240, entering S240 is to enter a mode of adjusting the azimuth angle because the ratio of the main lobe window service samples is still smaller than the threshold 11 value after increasing the horizontal lobe angle, and if it is satisfied that the maximum ratio of the main lobe window service samples is greater than the threshold 1, the azimuth angle is optimally adjusted, and the central position of the main lobe window with the maximum ratio of the service samples is the adjusted azimuth angle.
S250, judging whether the ratio of the maximum main lobe window sample to the main lobe window sample is greater than a threshold 2, if so, entering the step of S251 for adjusting the azimuth angle; if not, the process proceeds to S260.
And S250, if the condition (the maximum main lobe window business sample ratio-the main lobe window business sample ratio) is greater than a threshold value (threshold 2), optimally adjusting the azimuth angle, wherein the central position of the main lobe window of the maximum business sample ratio is the adjusted azimuth angle.
And S260, entering a horizontal lobe angle and azimuth angle simultaneous adjustment mode.
S270, judging whether the maximum main lobe window sample ratio after the horizontal lobe angle is increased is larger than a threshold 11, if so, entering S290; if not, the process proceeds to S280.
And S270, if the maximum main lobe window service sample ratio after the horizontal lobe angle is increased is larger than a threshold (threshold 11), increasing the horizontal lobe angle and adjusting the azimuth angle.
S280, judging whether the ratio of the maximum main lobe window sample after the horizontal lobe angle is increased to the ratio of the main lobe window sample after the horizontal lobe angle is increased is greater than a threshold 2, if so, entering S290; if not, no adjustment is carried out.
Referring to S280, if it is satisfied that (the maximum main lobe window traffic sample ratio after increasing the horizontal lobe angle — the main lobe window traffic sample ratio) is greater than the threshold (threshold 2), the horizontal lobe angle + the adjustment azimuth angle is increased.
And S290, increasing the horizontal lobe angle + adjusting the azimuth angle.
In conclusion, the part with the poorer proportion of the horizontal lobe angle service samples is found out, the azimuth angle and the horizontal lobe angle of the antenna are optimized, the whole network presents azimuth angle rationalization and coverage optimization, the defect of passively optimizing the azimuth angle and the horizontal lobe angle is changed, the main lobe of the antenna serves more users, the situation that optimization is only carried out due to passive complaints is avoided, and customer perception is improved.
In addition, based on the above method for adjusting the antenna parameter, another method for adjusting the antenna parameter is provided in the embodiments of the present invention, which is specifically described in detail with reference to fig. 5.
Fig. 5 is a schematic flowchart of another method for adjusting antenna parameters according to an embodiment of the present invention
The details are as follows:
and S510, data acquisition.
Referring to S510, sample data of an MR measurement report of a large-scale array antenna (Massive MIMO) device supporting beam level is acquired. The data is collected from a wireless measurement report provided by a wireless operation maintenance center (OMC-R) of a TD-LTE digital cellular mobile communication network. A specific sample data acquisition flow chart is shown in fig. 6 and 7. The original measurement data is reported to the OMC-R to be stored in a statistical data form or directly reported to the OMC-R to be stored in a sample data form after statistical calculation (statistics can be realized on an Evolved Node B (eNodeB) or the OMC-R). The period minimum time granularity for the OMC-R to collect measurement report data files is 15 minutes. If a measurement has no data in the sampling period, the result of sampling data of the periodic sample is a non-value (NIL), and the statistical result of the sampling data is 0.
And S520, analyzing the data.
Referring to S520, most of the collected original data is in an XML file format, that is, a measurement report file in a certain cell within a certain 15-minute sampling time, and the XML file mainly includes the following contents:
a) tag, i.e. a Tag, is used to identify which data the element represents, using a < sum > bounding part, e.g. < measurement > is a start-Tag and </measurement > is an end-Tag in this example.
b) An Element, refers to a portion from (and including) a start Tag to (and including) an end Tag, i.e., a portion surrounded by Tag, such as < smr > MR.AOA.00MR.AOA.01 … MR.AOA.71</smr, which can be considered a node, which can have children;
c) attribute, a name/value pair that may exist in Tag, generally represents an Attribute, and is stored in a Dictionary form, such as mrName in < measurement mrName ═ mr. aoa ">," mr. aoa ";
d) text, a Text string, may be used to store some data, such as a number of values between < v > and </v >.
Acquiring and storing text or data or attribute information under an appointed label, obtaining a format of 72 numerical values as character strings, further obtaining 96 AOA times sample size XML data files (one record in 15 minutes, and 96 records in 24 hours a day) obtained in the continuous time of the same cell, wherein the 72 columns mean that 360 degrees of space is equally divided into 72 sub-blocks, the space interval is 5 degrees, and the counterclockwise included angle between the 360 degrees and the positive north direction is 5 degrees to 360 degrees (namely 0 degree) from left to right. And finally generating sample data of the csv file.
And S530, performing AOA angle business sample statistics.
S530, classifying and summing all MR.AOA report file data of the same logic cell every day according to the AOA angle to obtain AOA service sample data of each logic cell; then, the AOA sample data of all cells below each antenna are summed according to the AOA angle to obtain AOA service sample data covered by the antenna direction, as shown in table 4:
table 4 AOA angle business sample statistical table
Figure BDA0002350096830000181
And S540, judging the ratio of the AOA angle business samples.
And S540, if the service sample occupation ratio in the main lobe window is greater than a certain threshold (threshold 1), the antenna azimuth angle is reasonable and does not need to be adjusted, and the method is finished after the AOA service sample statistical distribution map is obtained.
And S541, not adjusting.
And S542, carrying out statistical distribution on the AOA service sample.
And S543, ending.
And S550, adjusting the parameters.
Referring to S550, if the duty ratio of the traffic samples in the main lobe window is not greater than a certain threshold (threshold 1), the azimuth angle of the antenna is not reasonable and needs to be adjusted.
And S560, performing statistical distribution on the AOA service sample.
Referring to S560, the statistical distribution of AOA angle service samples is not the service sample statistics of a single logical cell, but the distribution of AOA angle service samples of all logical cells under a unified antenna needs to be calculated, and the AOA angle service samples of all cells under the antenna are summed to obtain the service sample of the AOA angle; and summing the service samples of all the cells to obtain the total service sample of the antenna direction, and obtaining the service sample ratio. Therefore, the problem that the distribution of users in each logic cell is unbalanced due to different power parameters, access priorities, frequency parameters and the like in a single logic is avoided, the distribution condition of service samples is influenced, and the accuracy of azimuth angle and horizontal lobe angle judgment is improved.
And S561, adjusting the azimuth angle.
The specific steps and procedures involved in adjusting the azimuth angle in S561 can be found in the descriptions in S240-S250 above.
And S562, adjusting the width of the horizontal lobe.
The specific steps and procedures involved in adjusting the horizontal lobe width in S562 can be seen as described previously in S220-S231.
S563, adjust azimuth + horizontal lobe width.
The specific steps and procedures involved in adjusting the azimuth + horizontal lobe width in S563 can be found in the description above in S260-S290.
And S570, realizing by software.
And S570, searching the maximum main lobe window through the left-right sliding of the main lobe window, automatically obtaining the optimized azimuth position, and obtaining an azimuth adjusting scheme, such as the number of degrees of clockwise or counterclockwise rotation of the azimuth, so that the efficiency of making the azimuth optimizing scheme is improved, and the operation and maintenance cost of a field manufacturing scheme is reduced.
And automatically generating an optimization scheme of an azimuth angle and a horizontal lobe angle, analyzing service sample data of an AOA arrival angle by collecting and analyzing MR measurement report data, combing and counting the AOA sample data of the cell according to the AOA angle at intervals of every 5 degrees, and summarizing the AOA service sample data taking an antenna as a unit. And comparing the lifting value of the main lobe window service sample ratio and the maximum main lobe window service sample ratio compared with the main lobe window service sample ratio with corresponding threshold values to obtain an optimization scheme of the antenna azimuth angle and the horizontal lobe angle.
And S580, ending.
In summary, by actively analyzing the service sample distribution in the MR report, the current ratio of the main lobe window service samples of the target antenna is determined, and the azimuth angle and/or the horizontal lobe angle of the antenna are/is optimized under the condition that the ratio of the main lobe window service samples is smaller than the preset threshold, the problem of passively optimizing the azimuth angle and the horizontal lobe angle in the past can be avoided, the optimization efficiency is improved, and the user experience is improved.
In addition, based on the above method for adjusting the antenna parameter, an embodiment of the present invention further provides an apparatus for adjusting the antenna parameter, which is described in detail with reference to fig. 8.
Fig. 8 is a schematic structural diagram of an apparatus for adjusting antenna parameters according to an embodiment of the present invention.
As shown in fig. 8, the apparatus 800 may include:
an obtaining module 810, configured to obtain a current measurement report of a target antenna, where the measurement report includes service sample data based on an AOA angle.
A determining module 820, configured to determine, according to the service sample data, a current main lobe window service sample proportion of the target antenna, where a current horizontal lobe angle of the target antenna is a first horizontal lobe angle.
As an example, the determining module 820 is specifically configured to calculate a first number of first service sample data of all cells corresponding to the target antenna and a second number of second service sample data of cells within a main lobe window range corresponding to the target antenna, respectively; and determining the ratio of the second number to the number as the current main lobe window service sample ratio of the target antenna.
An adjusting module 830, configured to adjust the azimuth angle and/or the horizontal lobe angle of the target antenna when the current main lobe window service sample ratio is smaller than a first threshold corresponding to the first horizontal lobe angle.
As an example, the adjusting module 830 is specifically configured to determine, according to the service sample data, a current main lobe window service sample proportion of the target antenna, and includes: respectively calculating a first quantity of first service sample data of all cells corresponding to a target antenna and a second quantity of second service sample data of the cells within a main lobe window range corresponding to the target antenna; and determining the ratio of the second number to the number as the current main lobe window service sample ratio of the target antenna.
As an example, the adjusting module 830 is specifically configured to, when the current main lobe window service sample ratio is smaller than a first threshold corresponding to a first horizontal lobe angle, adjust the horizontal lobe angle of the target antenna, and includes: under the condition that the current horizontal lobe angle meets a preset adjusting condition, calculating a second horizontal lobe angle obtained by adding a first specified angle to the first horizontal lobe angle; predicting a second main lobe window service sample proportion corresponding to a second horizontal lobe angle; and under the condition that the second main lobe window business sample proportion is larger than a second threshold value, increasing the horizontal lobe angle of the target antenna to be a second horizontal lobe angle.
As an example, the adjusting module 830 is specifically configured to, when the current ratio of the main lobe window service sample is smaller than a first threshold corresponding to a first horizontal lobe angle, adjust the azimuth angle of the target antenna, and includes: under the condition that the current horizontal lobe angle of the target antenna does not meet the preset adjusting condition, or under the condition that the second main lobe window business sample proportion is not larger than a second threshold value, determining the maximum main lobe window business sample proportion corresponding to the first horizontal lobe angle; under the condition that the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle is larger than a first threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on a first preset angle; and under the condition that the difference value between the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle and the main lobe window service sample proportion is larger than a third threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on the first preset angle.
As an example, the adjusting module 830 is specifically configured to increase the horizontal lobe angle and adjust the azimuth angle when the current ratio of the main lobe window traffic samples is smaller than a first threshold corresponding to a first horizontal lobe angle, a difference between the maximum ratio of the main lobe window traffic samples and the ratio of the main lobe window traffic samples is not greater than a third threshold, and the ratio of the maximum ratio of the main lobe window traffic samples corresponding to a second horizontal lobe angle is greater than a second threshold; or, under the condition that the current ratio of the main lobe window service samples is smaller than a first threshold corresponding to the first horizontal lobe angle, the difference value between the maximum ratio of the main lobe window service samples and the ratio of the main lobe window service samples is not larger than a third threshold, and the difference value between the maximum ratio of the main lobe window service samples corresponding to the second horizontal lobe angle and the ratio of the main lobe window service samples corresponding to the second horizontal lobe angle is larger than the third threshold, the horizontal lobe angle is increased and the azimuth angle is adjusted.
The adjusting module 830 is further configured to obtain a main lobe window service sample proportion corresponding to a horizontal lobe angle of the whole network in a preset time period, where the horizontal lobe angle includes category identification information; determining a plurality of antennas corresponding to a first class horizontal lobe angle consistent with the class identification information of the first horizontal lobe angle of the target antenna; calculating the sum of the third quantity of the third service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the fourth quantity of the fourth service sample data of the cells in the range of the main lobe window corresponding to the multiple antennas; and determining the ratio of the sum of the third quantity and the sum of the fourth quantity as the current first threshold value of the target antenna.
The adjusting module 830 is further configured to calculate a third horizontal lobe angle obtained by adding a second specified angle to the first horizontal lobe angle when the current horizontal lobe angle of the target antenna meets a preset adjusting condition; predicting a third main lobe window service sample proportion corresponding to a third horizontal lobe angle; determining a difference value between the third main lobe window service sample proportion and the first main lobe window service sample proportion; and determining the difference value as a third threshold value corresponding to the first horizontal lobe angle.
The adjusting module 830 is further configured to identify a ratio of the main lobe window service samples through the main lobe window according to the first preset angle, so as to determine a maximum ratio of the main lobe window service samples corresponding to the first horizontal lobe angle.
The adjusting module 830 is further configured to rotate the azimuth angle of the target antenna clockwise by a first preset angle under the condition that the main lobe window slides by the first preset angle in the first direction; and under the condition that the main lobe window slides towards the second direction by a first preset angle, rotating the azimuth angle of the target antenna by the first preset angle anticlockwise.
The preset adjustment conditions involved in the embodiment of the present invention include: the current horizontal lobe angle of the target antenna is in a non-fixed type, and the current horizontal lobe angle of the target antenna does not reach the upper limit of the horizontal lobe angle.
In summary, the adjusting device of the antenna parameter according to the embodiment of the present invention determines the current ratio of the main lobe window service samples of the target antenna by actively analyzing the service sample distribution in the MR report, and optimizes the azimuth angle and/or the horizontal lobe angle of the antenna when the ratio of the main lobe window service samples is smaller than the preset threshold, so as to avoid the problem of passively optimizing the azimuth angle and the horizontal lobe angle in the past, improve the optimization efficiency, and improve the user experience.
Fig. 9 is a diagram illustrating an exemplary hardware architecture provided by an embodiment of the present invention.
The positioning device may comprise a processor 901 and a memory 902 storing computer program instructions.
Specifically, the processor 901 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing the embodiments of the present invention.
Memory 902 may include mass storage for data or instructions. By way of example, and not limitation, memory 902 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 902 may include removable or non-removable (or fixed) media, where appropriate. The memory 902 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 902 is a non-volatile solid-state memory. In a particular embodiment, the memory 902 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The processor 901 reads and executes the computer program instructions stored in the memory 902 to implement the method for adjusting the antenna parameter in any of the above embodiments.
In one example, the positioning device can also include a communication interface 903 and a bus 910. As shown in fig. 9, the processor 901, the memory 902, and the communication interface 903 are connected via a bus 910 to complete communication with each other.
The communication interface 903 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
Bus 910 includes hardware, software, or both to couple the components of the information processing device to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 910 can include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.
The processing device may execute the method for adjusting the antenna parameter in the embodiment of the present invention, so as to implement the method for adjusting the antenna parameter described in conjunction with fig. 1 to 7.
In addition, in combination with the method for adjusting the antenna parameter in the foregoing embodiment, the embodiment of the present invention may provide a computer storage medium to implement. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method of adjusting any antenna parameter in the above embodiments.
It is to be understood that the embodiments of the invention are not limited to the particular configurations and processes described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the embodiments of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the embodiments of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as software, and the elements of the embodiments of the present invention are programs or code segments used to perform desired tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the embodiments of the present invention are not limited to the order of the above steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims (13)

1. A method for adjusting antenna parameters, the method comprising:
acquiring measurement reports of all cells corresponding to a target antenna and parameters of the target antenna, wherein the measurement reports comprise service sample data based on an angle of arrival (AOA);
determining the current main lobe window service sample proportion of the target antenna according to the service sample data, wherein the current horizontal lobe angle of the target antenna is a first horizontal lobe angle;
and adjusting parameters of the target antenna under the condition that the current main lobe window service sample proportion is smaller than a first threshold corresponding to the first horizontal lobe angle, wherein the parameters comprise an azimuth angle and/or a horizontal lobe angle.
2. The method of claim 1, wherein said determining a current main lobe window traffic sample fraction of the target antenna from the traffic sample data comprises:
respectively calculating a first quantity of first service sample data of all cells corresponding to the target antenna and a second quantity of second service sample data of the cells within a main lobe window range corresponding to the target antenna;
and determining the ratio of the second number to the first number as the current main lobe window business sample ratio of the target antenna.
3. The method according to claim 1, wherein in a case that the current main lobe window traffic sample ratio is smaller than a first threshold corresponding to the first horizontal lobe angle, the adjusting the parameters of the target antenna comprises:
under the condition that the current horizontal lobe angle meets a preset adjusting condition, calculating a second horizontal lobe angle obtained by adding a first specified angle to the first horizontal lobe angle;
predicting a second main lobe window service sample proportion corresponding to the second horizontal lobe angle;
and increasing the horizontal lobe angle of the target antenna to the second horizontal lobe angle when the second main lobe window traffic sample proportion is greater than a second threshold value.
4. The method according to claim 1 or 3, wherein in the case that the current main lobe window traffic sample ratio is smaller than a first threshold corresponding to the first horizontal lobe angle, the adjusting the parameters of the target antenna comprises:
determining the maximum main lobe window business sample occupation ratio corresponding to the first horizontal lobe angle under the condition that the current horizontal lobe angle of the target antenna does not meet the preset adjusting condition or the second main lobe window business sample occupation ratio is not larger than the second threshold value;
under the condition that the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle is larger than the first threshold value, adjusting the azimuth angle of the target antenna to a second azimuth angle based on a first preset angle;
adjusting the azimuth angle of the target antenna to the second azimuth angle based on the first preset angle under the condition that the difference value between the maximum main lobe window service sample proportion corresponding to the first horizontal lobe angle and the main lobe window service sample proportion is larger than a third threshold value;
the first preset angle is a difference value between a first position of a maximum main lobe window corresponding to the first horizontal lobe angle and a first position of a main lobe window corresponding to the first horizontal lobe angle.
5. The method of claim 4, wherein if the current maximum main lobe window traffic sample fraction is less than a first threshold corresponding to the first horizontal lobe angle, the difference between the maximum main lobe window traffic sample fraction and the main lobe window traffic sample fraction is not greater than a third threshold, and the maximum main lobe window traffic sample fraction corresponding to the second horizontal lobe angle is greater than the second threshold, increasing a horizontal lobe angle and adjusting an azimuth angle;
or, increasing the horizontal lobe angle and adjusting the azimuth angle when the current maximum main lobe window service sample occupation ratio is smaller than a first threshold corresponding to the first horizontal lobe angle, the difference between the maximum main lobe window service sample occupation ratio and the main lobe window service sample occupation ratio is not larger than a third threshold, and the difference between the maximum main lobe window service sample occupation ratio corresponding to the second horizontal lobe angle and the main lobe window service sample occupation ratio corresponding to the second horizontal lobe angle is larger than the third threshold.
6. The method of claim 3, wherein prior to said adjusting the parameters of the target antenna, the method further comprises:
determining the first threshold;
wherein the determining the first threshold comprises:
acquiring antenna parameters of a plurality of antennas in a whole network within a preset time period and a main lobe window service sample ratio corresponding to horizontal lobe angles of the plurality of antennas, wherein the horizontal lobe angles comprise category identification information;
determining a plurality of antennas corresponding to a first class horizontal lobe angle consistent with the class identification information of the first horizontal lobe angle of the target antenna;
calculating the sum of the third quantity of the third service sample data of all the cells corresponding to the multiple antennas, and calculating the sum of the fourth quantity of the fourth service sample data of the cells within the range of the main lobe window corresponding to the multiple antennas;
and determining the ratio of the sum of the third quantity to the sum of the fourth quantity as a current first threshold value of the target antenna.
7. The method of claim 4, wherein prior to the adjusting the azimuth angle of the target antenna to a second azimuth angle based on the first preset angle, the method further comprises:
determining a third threshold corresponding to the first horizontal lobe angle;
wherein the determining a third threshold corresponding to the first horizontal lobe angle comprises: under the condition that the current horizontal lobe angle of the target antenna meets a preset adjusting condition, calculating a third horizontal lobe angle obtained by adding a second specified angle to the first horizontal lobe angle;
predicting a third main lobe window service sample proportion corresponding to the third horizontal lobe angle;
determining a difference value between the third main lobe window service sample proportion and the first main lobe window service sample proportion;
and determining the difference value as a third threshold corresponding to the first horizontal lobe angle.
8. The method of claim 4, wherein the determining the largest main lobe window traffic sample fraction corresponding to the first horizontal lobe angle comprises:
identifying the ratio of the main lobe window business samples through a main lobe window to determine the maximum ratio of the main lobe window business samples corresponding to a first horizontal lobe angle;
and the difference value between the central position of the maximum main lobe window and the central position of the main lobe window is the first preset angle.
9. The method of claim 8, further comprising:
rotating the azimuth angle of the target antenna clockwise by the first preset angle under the condition that the main lobe window slides by the first preset angle to the first direction;
and under the condition that the main lobe window slides to a second direction by the first preset angle, rotating the azimuth angle of the target antenna by the first preset angle anticlockwise.
10. The method of claim 3, wherein the preset adjustment condition comprises:
the current horizontal lobe angle of the target antenna is in a non-fixed type, and the current horizontal lobe angle of the target antenna does not reach the upper limit of the horizontal lobe angle.
11. An apparatus for adjusting antenna parameters, comprising:
an obtaining module, configured to obtain measurement reports of all cells corresponding to a target antenna and parameters of the target antenna, where the measurement reports include service sample data based on AOA;
a determining module, configured to determine, according to the service sample data, a current main lobe window service sample proportion of the target antenna, where a current horizontal lobe angle of the target antenna is a first horizontal lobe angle;
an adjusting module, configured to adjust a parameter of the target antenna when the current main lobe window service sample ratio is smaller than a first threshold corresponding to the first horizontal lobe angle, where the parameter includes: azimuth and/or horizontal lobe angle.
12. A computing device, the device comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method of adjusting antenna parameters according to any of claims 1-10.
13. A computer storage medium, characterized in that the computer storage medium has stored thereon computer program instructions which, when executed by a processor, implement the method of adjusting antenna parameters according to any one of claims 1-10.
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