CN106792929B - Method and device for optimizing neighbor cell switching relation - Google Patents
Method and device for optimizing neighbor cell switching relation Download PDFInfo
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Abstract
The invention discloses a method and a device for optimizing a neighbor cell switching relationship. The method comprises the following steps: acquiring base station parameters of a base station cell; acquiring cell switching data of a base station; analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data; and optimizing the adjacent cell switching relation according to the analysis and judgment result of the adjacent cell switching relation. According to the invention, the base station working parameters of the base station cell and the base station cell switching data are used for carrying out the zone bit switching analysis on each switching relation, so that the accuracy of adding and deleting the adjacent cell switching relation is improved, and the artificial errors are avoided; through intelligent analysis, the efficiency of adding and deleting the adjacent cell switching relation is improved, and manual work is replaced; potential wireless network problems such as signal cross-area coverage, under-coverage and antenna feed azimuth angle errors can be analyzed and judged, and therefore a deeper optimization means is provided for wireless network optimization.
Description
Technical Field
The present invention relates to the field of wireless mobile communications, and in particular, to a method and an apparatus for optimizing a neighbor cell handover relationship.
Background
The neighbor cell handover is an important content of the connection state mobility management of an LTE (Long Term Evolution) network, and is a key technology for ensuring the service performance of a wireless network, and the neighbor cell handover optimization is an important work of the wireless network optimization. The adjacent cell switching can be divided into common frequency switching, different frequency switching and different system switching, and the common frequency switching is the most main switching of the three switching types. In the 2G and 3G network era, the neighbor cell optimization work including the work of adding, deleting, modifying and the like of the neighbor cells is completed through manual operation.
With the development of network Optimization technology, operations such as addition, deletion, and modification of the neighboring cell of the LTE network can be automatically completed by MRO (Mobility Robustness Optimization) technology. The MRO technology greatly improves the work efficiency of network optimization, effectively avoids the problems of neighbor missing, neighbor mismatching and the like of manual optimization work, and improves the success rate of network switching and the mobility of network connection states. Meanwhile, by applying the MRO technology and automatically adding the cells switched by the adjacent cells, optimization problems such as network parameters including cross-area coverage, under-coverage, base station antenna azimuth errors and the like can be found.
However, there is no advanced and effective technique or method for accurately and efficiently determining the mismatched neighbors generated by MRO algorithm, such as caused by handover coverage, base station antenna azimuth error, etc.
Disclosure of Invention
In view of the above technical problems, the present invention provides a method and an apparatus for optimizing a neighboring cell handover relationship, which improve the accuracy of adding and deleting a neighboring cell handover relationship and avoid human errors by analyzing the location handover of each handover relationship.
According to an aspect of the present invention, a method for optimizing a neighboring cell handover relationship is provided, including:
acquiring base station parameters of a base station cell;
acquiring cell switching data of a base station;
analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data;
and optimizing the adjacent cell switching relation according to the analysis and judgment result of the adjacent cell switching relation.
In an embodiment of the present invention, after the step of analyzing and judging the neighboring cell handover relationship from the source base station cell to the target base station cell according to the base station parameters of the base station cell and the base station cell handover data, the method further includes:
and outputting and presenting the analysis and judgment result of the adjacent cell switching relation.
In an embodiment of the present invention, the step of optimizing the neighboring cell handover relation according to the analysis and determination result of the neighboring cell handover relation includes:
if the neighbor cell switching relation is not reasonable, deleting the neighbor cell switching relation from a neighbor cell switching relation list;
and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
In an embodiment of the present invention, the step of analyzing and judging the neighboring cell handover relationship from the source base station cell to the target base station cell according to the base station parameters of the base station cell and the base station cell handover data includes:
determining a target base station cell to be equivalent to a home partition of a source base station cell according to the position of the target base station relative to the source base station;
determining the intra-partition level of the target base station cell in the attribution partition according to the distance between the target base station and the source base station;
and determining the switching classification of the target base station cell according to the attribution subarea and the subarea inner level.
In one embodiment of the present invention, the step of determining the handover classification of the target base station cell according to the home zone and the intra-zone level comprises:
acquiring a switching angle, wherein the switching angle is an angle difference between a target base station cell direction angle and a source base station cell direction angle;
and determining the switching classification of the target base station cell according to the attribution subarea, the subarea inner level and the switching angle.
In an embodiment of the present invention, the handover classification includes a suggested neighboring cell and a non-suggested neighboring cell;
the step of analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data further comprises the following steps:
if the switching classification is that the neighbor cell configuration is recommended, judging that the neighbor cell switching relation is reasonable;
and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
According to another aspect of the present invention, there is provided a neighboring cell handover relation optimizing device, including a working parameter obtaining module, a handover data obtaining module, an identifying module, and an optimizing module, wherein:
the system comprises a work parameter acquisition module, a base station work parameter acquisition module and a base station configuration module, wherein the work parameter acquisition module is used for acquiring the work parameters of a base station cell;
a switching data acquisition module for acquiring the switching data of the base station cell;
the identification module is used for analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data;
and the optimizing module is used for optimizing the neighbor cell switching relation according to the analysis and judgment result of the neighbor cell switching relation.
In one embodiment of the invention, the apparatus further comprises an output module, wherein:
and the output module is used for outputting and presenting the analysis and judgment result of the adjacent cell switching relation.
In an embodiment of the present invention, the optimization module is configured to delete the neighbor cell switching relationship from the neighbor cell switching relationship list according to an analysis and determination result of the identification module, if the neighbor cell switching relationship is not reasonable; and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
In one embodiment of the present invention, the identification module includes a partition determining unit, a hierarchy determining unit, and a classification determining unit, wherein:
the partition determining unit is used for determining the attribution partition of the target base station cell which is equivalent to the source base station cell according to the position of the target base station relative to the source base station;
the hierarchy determining unit is used for determining the intra-partition hierarchy of the target base station cell in the attribution partition according to the distance between the target base station and the source base station;
and the classification determining unit is used for determining the switching classification of the target base station cell according to the attribution subarea and the subarea inner level.
In one embodiment of the invention, the classification determination unit comprises an angle determination sub-module and a classification determination sub-module, wherein:
the angle determination submodule is used for acquiring a switching angle, wherein the switching angle is an angle difference between a cell direction angle of a standard base station and a cell direction angle of a source base station;
and the classification determination submodule is used for determining the switching classification of the target base station cell according to the attribution subarea, the subarea inner level and the switching angle.
In an embodiment of the present invention, the handover classification includes a suggested neighboring cell and a non-suggested neighboring cell;
the identification module further comprises a decision unit, wherein:
the judging unit is used for judging that the switching relation of the adjacent cells is reasonable if the switching classification is the suggested adjacent cell configuration according to the switching classification determined by the classification determining unit; and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
According to the method and the device, the zone bit switching analysis is carried out on each switching relation according to the base station working parameters of the base station cell and the switching data of the base station cell, so that the accuracy of adding and deleting the adjacent cell switching relations is improved, and the human errors are avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an embodiment of a neighbor cell switching relationship optimization method according to the present invention.
Fig. 2 is a schematic diagram of a list of base station parameters according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a list of base station cell handover data according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of an interface for outputting results according to an embodiment of the present invention.
Fig. 5 is a schematic diagram illustrating a handover classification determining the handover relation of the neighboring cell according to the base station parameters of the base station cell and the handover data of the base station cell in an embodiment of the present invention.
Fig. 6 is a schematic diagram of a three-cell base station antenna according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a bisector of a base station cell n (taking n-12) according to an embodiment of the present invention.
FIG. 8 is a diagram illustrating the calculation of the partition angle R4 according to one embodiment of the present invention.
Fig. 9 is a schematic diagram of a cell of a target base station in a zone according to an embodiment of the present invention.
Fig. 10 is a schematic diagram of an embodiment of a neighboring cell handover relation optimizing apparatus according to the present invention.
FIG. 11 is a diagram of an identification module according to an embodiment of the invention.
Fig. 12 is a schematic diagram of a classification determination unit according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a schematic diagram of an embodiment of a neighbor cell switching relationship optimization method according to the present invention. Preferably, this embodiment may be executed by the neighboring cell handover relation optimizing device of the present invention. The method comprises the following steps:
In an embodiment of the present invention, the base station parameters are obtained through engineering design and engineering maintenance optimization adjustment.
In an embodiment of the present invention, the cell switching data of the base station may be obtained through a neighbor cell switching relationship report generated by an equipment manufacturer network data platform.
And 103, analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data.
In one embodiment of the present invention, step 103 may comprise:
step 1031, determining a handover classification of the neighbor cell handover relation according to the base station parameters of the base station cell and the base station cell handover data, wherein the handover classification includes a suggested neighbor cell and a non-suggested neighbor cell.
And 1032, judging that the neighbor cell switching relation is reasonable according to the switching classification. If the switching classification is that the neighbor cell configuration is recommended, judging that the neighbor cell switching relation is reasonable; and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
And 104, optimizing the neighbor cell switching relation according to the analysis and judgment result of the neighbor cell switching relation.
In one embodiment of the present invention, step 104 may comprise: if the neighbor cell switching relation is not reasonable, deleting the neighbor cell switching relation from a neighbor cell switching relation list; and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
Based on the method for optimizing the adjacent cell switching relationship provided by the embodiment of the invention, the area switching analysis is carried out on each switching relationship according to the base station parameters of the base station cell and the base station cell switching data, so that the accuracy of adding and deleting the adjacent cell switching relationship is improved, and the artificial errors are avoided; meanwhile, through intelligent analysis, the efficiency of adding and deleting the adjacent cell switching relation is improved, and manual work is replaced.
In an embodiment of the present invention, after step 103 of the embodiment of fig. 1, the method may further include: and outputting and presenting the judgment result of each switching relation of the source base station cell in a standardized and textual manner. The output result is simple and standardized, and the analysis work of an optimization engineer is facilitated. Fig. 4 is an interface diagram for outputting the determination result to the user according to an embodiment of the present invention.
Fig. 5 is a schematic diagram illustrating a handover classification determining the handover relation of the neighboring cell according to the base station parameters of the base station cell and the handover data of the base station cell in an embodiment of the present invention. As shown in fig. 5, step 1031 in the embodiment of fig. 1 may specifically include:
step 501, a source base station cell n is obtained to equally divide the range of each partition (sector), wherein n is a natural number greater than 1.
The radio frequency part of a wireless communication base station is generally in a three-cell mode, and three cell antennas are substantially uniformly distributed in an angle to achieve effective coverage of an area within a 360-degree range around the base station, and a typical schematic diagram of the three-cell base station antenna is shown in fig. 6.
The present invention is defined as follows. As the source base station cell, each cell of each base station is analyzed independently and is not associated with other cells of the base station.
For each analyzed source cell, the antenna direction R1 of the source cell is set as a reference line, the theoretical coverage of the cell is 0 to 360 degrees, the 360 degree coverage area is divided into n equal divisions, each division angle is 360/n degrees, wherein the first bisector coincides with the reference line, i.e. the 1 st bisector has an angle of 0 degrees, the 2 nd bisector has an angle of 360/n degrees, the 3 rd bisector has an angle of 2 ＊ 360/n, and so on, the nth bisector has an angle of (n-1) ＊ 360/n degrees.
In a preferred embodiment of the present invention, 10. ltoreq. n.ltoreq.14.
The value of the cell equipartition value n has the most key influence on the accuracy of judgment, and through verification in a large number of practical work implementations, the judgment effect of n generally taking an integer value of 10-14 is ideal, so that the method is suitable for most wireless network application scenes.
In a more preferred embodiment of the present invention, as shown in fig. 7, n is 12, the area formed by the 1 st bisector and the 2 nd bisector is defined as a 1# bisector, i.e., an area of 0 degrees or more and less than 360/n degrees, the area formed by the 2 nd bisector and the 3 rd bisector is defined as a 2# bisector, i.e., an area of 360 degrees or more and less than 2 ＊ 360 degrees and 360/n degrees, and so on.
As specified in fig. 7, the target base station cell falls within the equal partition of 1# to n # with respect to the source base station cell.
Step 202, judging all the target base stations of the system relative to the cell attribution subarea of the source base station according to the positions of the target base stations relative to the source base station.
As shown in fig. 8, with the due north direction as an angle reference line, a direction angle R1 of the source base station cell antenna and a direction angle R3 of a connection line between the target base station position (based on the measured longitude and latitude) and the source base station position (based on the measured longitude and latitude) are respectively obtained. The partition angle R4 is the relative angle between the target base station and source base station connection direction angle R3 and the source base station cell antenna direction angle R1, that is, when R3 is > ═ R1, R4 is R3-R1, and when R3 < R1, R4 is 360+ (R3-R1).
According to the calculated value of the angle R4, comparing the value with the partition angle 360/n, setting the partition where the target base station cell is located as K, and then taking the value of K as:
k ═ INT (R4/(360/n)) +1, (K ═ 1 to n, INT is a floor function)
By the above determination, the home partition K of the calculated base station with respect to the source base station cell can be derived.
Step 203, obtaining the distance between the source base station cell and all target base station cells of the system.
And calculating a straight-line distance D between the cell position of the source base station (based on the measured longitude and latitude) and the cell position of the target base station (based on the measured longitude and latitude).
And 204, determining the intra-partition level of the target base station cell in the attribution partition according to the distance between the target base station and the source base station.
Through the partitions of all base stations obtained by the calculation in step 202, the base station cells in the same partition as the target base station cell are sorted from small to large according to the linear distances D from all the target base stations to the source base station in step 203, so as to obtain an intra-cell level C (C is an integer greater than or equal to 0) in the home partition of the target base station cell relative to the source base station cell, as shown in fig. 9.
In one embodiment of the present invention, step 204 may comprise:
for each base station partition, a distance threshold D is setmAnd m is a natural number greater than 0.
If D is equal to 0, the inner layer grade C is equal to 0;
if 0 < D1If the area inner layer level C is 1;
if D ism＜D＜Dm+1，Then the intra-region level C is m + 1.
Step 205, determine the handover classification of the target base station cell.
In the first embodiment of the present invention, step 205 may include: and determining the switching classification of the target base station cell according to the attribution subarea and the subarea inner level.
In the second embodiment of the present invention, step 205 may comprise: acquiring a switching angle, wherein the switching angle is an angle difference between a target base station cell direction angle and a source base station cell direction angle; and determining the switching classification of the target base station cell according to the attribution subarea, the subarea inner level and the switching angle.
The second embodiment of the present invention will be described in detail with reference to the following embodiments:
as described above, the partition of the target base station cell with respect to the source cell is set to K, the level of the target base station cell with respect to the source base station cell is set to C, and the angle difference between the target base station cell direction angle and the source base station cell direction angle is set to the handover angle R2. I.e., R2-target cell azimuth-source cell azimuth. Handover classification is generally divided into two main categories:
class 1: suggesting a neighboring cell to be configured, an
Class 2: it is recommended that no neighbours are configured.
Wherein, class 1 is subdivided into the following 25 classes, and the names and judgment conditions of the classes are as follows.
Class 1-00: suggestion matching adjacent region (same base station cell)
Conditions are as follows: the distance D between the target base station cell and the source base station cell is 0
Classes 1-11: suggestion matching adjacent region (1 partition first layer)
Conditions are as follows: k is 1 and C is 1
Classes 1-12: suggestion matching adjacent region (1 partition second layer)
Conditions are as follows: k is 1 and C is 2
Classes 1-13: suggestion matching with adjacent area (1 zone third layer beat)
Conditions are as follows: k1 and C3 and (R2 ═ 90 degrees and R2 < ═ 270 degrees)
Classes 1-21: suggestion matching with adjacent area (2 partition first layer)
Conditions are as follows: k is 2 and C is 1
Classes 1-22: suggestion matching and neighboring area (2 partition second layer)
Conditions are as follows: k2 and C2
Classes 1-23: suggestion matching with adjacent area (2 zone third layer beat)
Conditions are as follows: k2 and C3 and (R2 ═ 180 degrees and R2 < ═ 300 degrees)
Classes 1-31: suggestion matching with adjacent area (3 partition first layer)
Conditions are as follows: k is 3 and C is 1
Classes 1-32: suggestion matching with adjacent area (3 zone second layer beat)
Conditions are as follows: k3 and C2 and (R2 ═ 180 degrees or R2 ≦ 90 degrees)
Classes 1-41: suggestion matching with adjacent area (4 partition first layer)
Conditions are as follows: k is 4 and C is 1
Classes 1-42: suggestion matching with adjacent area (4 zone second layer beat)
Conditions are as follows: k4 and C2 and (R2 ═ 180 degrees or R2 ≦ 30 degrees)
Class 1-51: suggestion matching with adjacent area (5 zone first layer back)
Conditions are as follows: k5 and C1 and (R2 ═ 190 degrees or R2 ≦ 170 degrees)
Classes 1-61: suggestion matching with adjacent area (6 zone first layer back)
Conditions are as follows: k6 and C1 and (R2 ═ 200 degrees or R2 ≦ 160 degrees)
Class 1-71: suggestion matching with adjacent area (7 partition first layer back)
Conditions are as follows: k7 and C1 and (R2 ═ 200 degrees or R2 ≦ 160 degrees)
Class 1-81: suggestion matching with adjacent area (8 partition first layer back)
Conditions are as follows: k8 and C1 and (R2 ═ 190 degrees or R2 ≦ 170 degrees)
Class 1-91: suggestion matching adjacent region (9 partition first layer)
Conditions are as follows: k is 9 and C is 1
Class 1-92: suggestion matching with adjacent area (9 partition second layer beat)
Conditions are as follows: k9 and C2 and (R2 ≦ 180 degrees or R2 ≦ 270 degrees)
Class 1-101: suggestion matching adjacent region (10 partition first layer)
Conditions are as follows: k is 10 and C is 1
Class 1-102: suggestion matching with neighboring region (10 partition second layer beat)
Conditions are as follows: k10 and C2 and (R2 < ═ 180 degrees or R2 > -330 degrees)
Classes 1-111: suggestion matching adjacent region (11 partition first layer)
Conditions are as follows: k is 11 and C is 1
Class 1-112: suggestion matching adjacent region (11 partition second layer)
Conditions are as follows: k is 11 and C is 2
Classes 1-113: suggestion matching with adjacent area (11 zone third layer beat)
Conditions are as follows: k11 and C3 and (R2 > ═ 60 degrees and R2 < ═ 180 degrees)
Class 1-121: suggestion matching adjacent region (12 partition first layer)
Conditions are as follows: k is 12 and C is 1
Classes 1-122: suggestion matching adjacent region (12 partition second layer)
Conditions are as follows: k is 12 and C is 2
Classes 1-123: suggestion matching with adjacent area (12-division third layer beating)
Conditions are as follows: k12 and C3 and (R2 ═ 90 degrees or R2 ≦ 270 degrees)
Class 2-00: not suggested to be matched with a neighboring cell (the target base station cell is too far away from the source base station cell)
Conditions are as follows: the distance D between the target base station cell and the source base station cell is greater than a set value Dis, wherein the value of Dis can be set to different values according to the base station cell coverage area classification shown in table 1:
table 1: base station cell coverage area classification
| Coverage area classification | LTE network Dis value (Km) | Other network Dis values |
| |
2 | Self-defining |
| |
4 | Self-defining |
| |
6 | Self-defining |
| Other regions | Self-defining | Self-defining |
Class 2-11: no suggestion of neighboring cells (1 zone third layer source cell cross zone)
Conditions are as follows: k is 1 and C is 3 (R2 < 90 degrees or R2 > 270 degrees)
Class 2-12: not suggested to be matched with adjacent cells (1 zone is larger than the third layer source cell zone cross zone)
Conditions are as follows: k1 and C4
Class 2-21: no suggestion of neighboring cells (2 zone third layer source cell cross zone)
Conditions are as follows: k2 and C3 and (R2 < 180 degrees or R2 > 300 degrees)
Class 2-22: not suggested to be matched with adjacent cells (2 zone is larger than the third layer source cell zone cross zone)
Conditions are as follows: k2 and C > 4
Class 2-31: do not suggest configuring neighbor cells (3-zone second layer source cell cross-zone)
Conditions are as follows: k is 3 and C is 2 (R2 < 180 degrees and R2 > 90 degrees)
Class 2-32: do not suggest configuring neighbor cells (3 zone is larger than second layer source cell cross zone)
Conditions are as follows: k3 and C3
Class 2-41: no suggestion of neighboring cells (4 zone second layer inspection azimuth)
Conditions are as follows: k is 4 and C is 2 (R2 < 180 degrees and R2 > 30 degrees)
Class 2-42: no suggestion of matching with neighboring cells (4 zone greater than second layer inspection azimuth)
Conditions are as follows: k4 and C3
Class 2-51: no suggestion of neighboring cells (5 zone first layer inspection azimuth)
Conditions are as follows: k is 5 and C is 1 (R2 < 190 degrees and R2 > 170 degrees)
Class 2-52: no suggestion of matching with neighboring cells (5 zone greater than first layer back inspection azimuth)
Conditions are as follows: k5 and C2
Class 2-61: no suggestion of neighboring cells (6 zone first layer back inspection azimuth)
Conditions are as follows: k6 and C1 (R2 < 200 degrees and R2 > 160 degrees)
Class 2-62: no suggestion of neighboring cells (6 zones greater than first layer inspection azimuth)
Conditions are as follows: k6 and C2
Class 2-71: no suggestion of neighboring cells (7 zone first layer back inspection azimuth)
Conditions are as follows: k is 7 and C is 1 (R2 < 200 degrees and R2 > 160 degrees)
Class 2-72: no suggestion of matching with neighboring cells (7 zone greater than first layer inspection azimuth)
Conditions are as follows: k6 and C2
Class 2-81: no suggestion of neighboring cells (8 zone first layer inspection azimuth)
Conditions are as follows: k8 and C1 (R2 < 190 degrees and R2 > 170 degrees)
Class 2-82: no suggestion of matching with neighboring cells (8 partitions greater than the first floor back inspection azimuth)
Conditions are as follows: k8 and C2
Class 2-91: no suggestion of neighboring cells (9 partitions second layer inspection azimuth)
Conditions are as follows: k is 9 and C is 2 (R2 > 180 degrees and R2 < 270 degrees)
Class 2-92: no suggestion of matching with neighboring cells (9 zone greater than second layer inspection azimuth)
Conditions are as follows: k is 9 and C is 3
Class 2-101: do not suggest a neighbor cell (10-zone second layer source cell cross-zone)
Conditions are as follows: k is 10 and C is 2 and (R2 > 180 degrees and R2 < 330 degrees)
Class 2-102: do not suggest configuring neighbor cells (10 cells are larger than the second layer source cell cross-zone)
Conditions are as follows: k3 and C3
Class 2-111: no suggestion of neighboring cells (11-zone third layer source cell cross-zone)
Conditions are as follows: k11 and C3 and (R2 > 180 degrees or R2 < 60 degrees)
Class 2-112: do not suggest configuring neighbor cells (11 partitions are larger than the third layer source cell cross-zone)
Conditions are as follows: k11 and C > 4
Class 2-121: no suggestion of neighboring cells (12-zone third layer source cell cross-zone)
Conditions are as follows: k is 12 and C is 3 (R2 < 90 degrees or R2 > 270 degrees)
Class 2-122: do not suggest configuring neighbor cells (12 zones are larger than the third layer source cell cross-zone)
Conditions are as follows: k12 and C4
The embodiment of the invention determines whether the adjacent cell relation is reasonable or not by judging the relative physical position relation between the source base station cell and the target base station cell, the relative position and level relation, the antenna feeder relative direction relation and the like, thereby improving the accuracy of adding and deleting the adjacent cell switching relation and avoiding artificial errors; through intelligent analysis, the efficiency of adding and deleting the adjacent cell switching relation is improved, and manual work is replaced; and by combining the MRO technology, the potential wireless network problems such as signal cross-area coverage, under-coverage, antenna feed azimuth angle error and the like are analyzed and judged according to the logic relationship between the huge adjacent cell switching relationship and the base station parameters, so that a deeper optimization means is provided for wireless network optimization.
Fig. 10 is a schematic diagram of an embodiment of a neighboring cell handover relation optimizing apparatus according to the present invention. As shown in fig. 10, the neighbor cell switching relationship optimizing apparatus includes a working parameter obtaining module 100, a switching data obtaining module 200, an identifying module 300, and an optimizing module 400, where:
an operating parameter acquiring module 100 is configured to acquire a base station operating parameter of a base station cell.
A handover data obtaining module 200, configured to obtain cell handover data of a base station.
The identifying module 300 is configured to analyze and judge a neighboring cell handover relationship from a source base station cell to a target base station cell according to base station parameters of the base station cell and base station cell handover data.
And an optimizing module 400, configured to optimize the neighboring cell handover relation according to an analysis and determination result of the neighboring cell handover relation.
In an embodiment of the present invention, the optimization module 400 is specifically configured to, according to the analysis and determination result of the identification module 300, delete the neighboring cell handover relationship from the neighboring cell handover relationship list if the neighboring cell handover relationship is not reasonable; and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
Based on the neighbor cell switching relationship optimization device provided by the embodiment of the invention, each switching relationship is subjected to rationality analysis according to the base station parameters of the base station cell and the base station cell switching data, so that the accuracy of adding and deleting the neighbor cell switching relationship is improved, and manual errors are avoided; meanwhile, through intelligent analysis, the efficiency of adding and deleting the adjacent cell switching relation is improved, and manual work is replaced.
In an embodiment of the present invention, as shown in fig. 10, the apparatus for optimizing a neighbor cell switching relationship may further include an output module 500, where:
an output module 500, configured to output and present an analysis and determination result of the neighboring cell switching relationship to the outside.
FIG. 11 is a diagram of an identification module according to an embodiment of the invention. As shown in fig. 11, the recognition module 300 of fig. 10 may include a partition determining unit 310, a hierarchy determining unit 320, and a classification determining unit 330, wherein:
a partition determining unit 310, configured to determine, according to the position of the target base station relative to the source base station, that the target base station cell corresponds to a home partition of the source base station cell.
A hierarchy determining unit 320, configured to determine, according to a distance between the target base station and the source base station, a intra-partition hierarchy of the target base station cell in the home partition.
A classification determining unit 330, configured to determine a handover classification of the target base station cell according to the home partition and the intra-partition level.
In an embodiment of the present invention, the handover classification includes a proposed neighbor cell and a non-proposed neighbor cell.
In an embodiment of the present invention, as shown in fig. 11, the identification module 300 may further include a determination unit 340, wherein:
the determining unit 340 is configured to determine whether the neighboring cell handover relationship is reasonable according to the handover classification determined by the classification determining unit 330, and if the handover classification is a suggested neighboring cell, determine that the neighboring cell handover relationship is reasonable; and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
Fig. 12 is a schematic diagram of a classification determination unit according to an embodiment of the present invention. As shown in fig. 12, the classification determination unit 330 includes an angle determination sub-module 331 and a classification determination sub-module 332, in which:
the angle determining submodule 331 is configured to obtain a handover angle, where the handover angle is an angle difference between a cell direction angle of the target base station and a cell direction angle of the source base station.
And a classification determining submodule 332, configured to determine a handover classification of the target base station cell according to the home partition, the intra-partition level, and the handover angle.
According to the embodiment of the invention, through carrying out zone bit switching analysis on each switching relation, the accuracy of adding and deleting the adjacent zone switching relation is improved, and human errors are avoided; and through intelligent analysis, the efficiency of adding and deleting the adjacent cell switching relation is improved, and manual work is replaced.
The location switching technology of the above embodiment of the present invention determines whether the neighboring cell relationship is reasonable by determining the relative physical position relationship between the source base station cell and the target base station cell, the relative location-level relationship, the antenna feeder relative direction relationship, and the like, and analyzes and determines the potential wireless network problems such as signal cross-area coverage, under-coverage, and antenna feeder azimuth error by combining the MRO technology and the logical relationship between the huge neighboring cell switching relationship and the base station parameters, thereby providing a deeper optimization means for wireless network optimization. The wireless network problems such as signal cross-area coverage, antenna feed azimuth angle errors and the like which possibly exist are judged, and a deeper optimization means is provided for wireless network optimization.
The functional elements described above with reference to acquisition module 100, switching data acquisition module 200, identification module 300, optimization module 400, output module 500, etc., may be implemented as a general purpose processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any suitable combination thereof, for performing the functions described herein.
Thus far, the present invention has been described in detail. Some details well known in the art have not been described in order to avoid obscuring the concepts of the present invention. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (8)
1. A method for optimizing a neighbor cell switching relationship is characterized by comprising the following steps:
acquiring base station parameters of a base station cell;
acquiring cell switching data of a base station;
analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data;
optimizing the adjacent cell switching relation according to the analysis and judgment result of the adjacent cell switching relation;
the step of analyzing and judging the neighbor cell switching relationship from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data comprises the following steps:
obtaining a source base station cell n and equally dividing each partition range, wherein n is a natural number larger than 1;
determining a target base station cell to be equivalent to a home partition of a source base station cell according to the position of the target base station relative to the source base station;
determining the intra-partition level of the target base station cell in the attribution partition according to the distance between the target base station and the source base station;
determining the switching classification of a target base station cell according to the attribution subarea and the subarea inner level;
wherein the step of determining a handover classification of a target base station cell according to the home zone and the intra-zone level comprises:
acquiring a switching angle, wherein the switching angle is an angle difference between a target base station cell direction angle and a source base station cell direction angle;
and determining the switching classification of the target base station cell according to the attribution subarea, the subarea inner level and the switching angle.
2. The method of claim 1, wherein after the step of analyzing and determining the neighboring cell handover relationship from the source base station cell to the target base station cell according to the base station parameters of the base station cell and the base station cell handover data, the method further comprises:
and outputting and presenting the analysis and judgment result of the adjacent cell switching relation.
3. The method according to claim 1 or 2, wherein the step of optimizing the neighbor cell switching relationship according to the analysis and judgment result of the neighbor cell switching relationship comprises:
if the neighbor cell switching relation is not reasonable, deleting the neighbor cell switching relation from a neighbor cell switching relation list;
and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
4. The method of claim 1 or 2, wherein the handover classification comprises suggested neighbor cells and non-suggested neighbor cells;
the step of analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data further comprises the following steps:
if the switching classification is that the neighbor cell configuration is recommended, judging that the neighbor cell switching relation is reasonable;
and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
5. The utility model provides a neighbouring cell switches over relation optimizing apparatus, its characterized in that includes worker's parameter acquisition module, switches over data acquisition module, identification module and optimization module, wherein:
the system comprises a work parameter acquisition module, a base station work parameter acquisition module and a base station configuration module, wherein the work parameter acquisition module is used for acquiring the work parameters of a base station cell;
a switching data acquisition module for acquiring the switching data of the base station cell;
the identification module is used for analyzing and judging the adjacent cell switching relation from the source base station cell to the target base station cell according to the base station working parameters of the base station cell and the base station cell switching data;
the optimization module is used for optimizing the neighbor cell switching relation according to the analysis and judgment result of the neighbor cell switching relation;
wherein the identification module comprises a partition determination unit, a hierarchy determination unit and a classification determination unit, wherein:
the identification module is used for acquiring each partition range such as a source base station cell n, wherein n is a natural number greater than 1;
the partition determining unit is used for determining the attribution partition of the target base station cell which is equivalent to the source base station cell according to the position of the target base station relative to the source base station;
the hierarchy determining unit is used for determining the intra-partition hierarchy of the target base station cell in the attribution partition according to the distance between the target base station and the source base station;
a classification determining unit, configured to determine a handover classification of a target base station cell according to the home partition and the intra-partition level;
wherein the classification determination unit comprises an angle determination submodule and a classification determination submodule, wherein:
the angle determination submodule is used for acquiring a switching angle, wherein the switching angle is an angle difference between a target base station cell direction angle and a source base station cell direction angle;
and the classification determination submodule is used for determining the switching classification of the target base station cell according to the attribution subarea, the subarea inner level and the switching angle.
6. The apparatus of claim 5, further comprising an output module, wherein:
and the output module is used for outputting and presenting the analysis and judgment result of the adjacent cell switching relation.
7. The apparatus of claim 5 or 6,
the optimization module is used for deleting the adjacent cell switching relation from the adjacent cell switching relation list if the adjacent cell switching relation is unreasonable according to the analysis and judgment result of the identification module; and if the neighbor cell switching relation is reasonable, adding the neighbor cell switching relation into a neighbor cell switching relation list.
8. The apparatus of claim 5 or 6, wherein the handover classification comprises suggested neighbor cells and non-suggested neighbor cells;
the identification module further comprises a decision unit, wherein:
the judging unit is used for judging that the switching relation of the adjacent cells is reasonable if the switching classification is the suggested adjacent cell configuration according to the switching classification determined by the classification determining unit; and if the switching classification is that the neighbor cell configuration is not recommended, judging that the neighbor cell switching relation is unreasonable.
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