CN115776719A

CN115776719A - Method, device, storage medium and computer equipment for positioning cross-zone coverage cell

Info

Publication number: CN115776719A
Application number: CN202111041814.6A
Authority: CN
Inventors: 赵雁航; 赵泽百; 冯博; 周阳; 刘昌兴; 张镇驿; 朱原
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Liaoning Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Liaoning Co Ltd
Priority date: 2021-09-07
Filing date: 2021-09-07
Publication date: 2023-03-10

Abstract

The embodiment of the invention provides a method, a device, a storage medium and computer equipment for positioning a cross-zone coverage cell. The method comprises the following steps: constructing a data matrix according to the acquired sampling point identifier, the primary serving cell identifier, the TA information of the time advance of the primary serving cell and the AOA information of the antenna arrival angle of the primary serving cell; generating a TA distribution curve according to the data matrix; calculating a TA distribution curve through a differential vector meter algorithm to generate a cross-zone coverage distance interval; selecting a sampling point of a cross-area coverage distance interval according to the data matrix; calculating sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area; and determining a cross-region coverage cell according to the obtained macro station information and the cross-region coverage area. According to the technical scheme provided by the embodiment of the invention, the cross-area coverage cell can be determined based on the TA distribution curve, and the accuracy of positioning the cross-area coverage cell is improved.

Description

Method, device, storage medium and computer equipment for positioning cross-zone coverage cell

[ technical field ] A method for producing a semiconductor device

The present invention relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, a storage medium, and a computer device for positioning a handover coverage cell.

[ background ] A method for producing a semiconductor device

For a fourth generation mobile communication technology (the 4th generation mobile communication technology, abbreviated as 4G) or a fifth generation mobile communication technology (the 5th generation mobile communication technology, abbreviated as 5G), some base stations may cause the coverage distance of the cell to be too far due to too high antenna hanging or too small pitch angle, so as to cover the area covered by the sites of other base stations by handover, and the signal level received by the mobile phone in the area is good, so as to generate interference with other cells, thereby affecting the user perception.

In the related technology, the problem of the cross-area coverage is difficult to find, the problem of the cross-area coverage is checked at present, generally by field test, but the field test is not accurate, and the main method for positioning the cross-area coverage cell is to comprehensively judge whether the cell is the cross-area coverage cell or not according to the average TA of the cell and by combining the station spacing, and the number of the cross-area coverage cells screened by the judging method is large, so that the error of positioning the cross-area coverage cell is large, and the positioned cross-area coverage cell is very inaccurate.

[ summary of the invention ]

Embodiments of the present invention provide a method, an apparatus, a storage medium, and a computer device for positioning a handover coverage cell, so as to improve accuracy of positioning the handover coverage cell.

In one aspect, an embodiment of the present invention provides a method for positioning a handover coverage cell, including:

constructing a data matrix according to the acquired sampling point identifier, the main serving cell identifier, the TA information of the time lead of the main serving cell and the AOA information of the antenna arrival angle of the main serving cell;

generating a TA distribution curve according to the data matrix;

calculating the TA distribution curve by a difference vector calculation method to generate a cross-zone coverage distance interval;

selecting a sampling point of the cross-area coverage distance interval according to the data matrix;

calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area;

and determining a cross-region coverage cell according to the obtained macro station information and the cross-region coverage area.

Optionally, the calculating the TA distribution curve by using a differential vector calculation method to generate a handover coverage distance interval includes:

calculating the TA distribution curve by a difference vector calculation method to generate a peak value bit;

generating a secondary peak position according to the peak position;

and generating a cross-region coverage distance interval according to the secondary peak position.

Optionally, the calculating the TA distribution curve by using a differential vector calculation method to generate peak bits includes:

generating a first differential vector according to the number of the acquired sampling points of the ith TA interval;

generating a second differential vector according to the first differential vector;

generating a third differential vector according to the second differential vector;

judging whether the third difference vector is a set value or not;

and if the third differential vector is judged to be a set value, determining the peak position corresponding to the number of the sampling points of the (i + 1) th TA interval as the peak position.

Optionally, the generating a secondary peak position according to the peak position includes:

calculating the wave peak position by a differential vector calculation method to generate TA sampling point occupation ratio;

judging whether the TA sampling point ratio is the second largest and is larger than a set multiple of the largest TA sampling point ratio;

and if the TA sampling point ratio is judged to be the second largest and is larger than the set multiple of the largest TA sampling point ratio, determining the peak position of the TA sampling point ratio which is the second largest and is larger than the set multiple of the largest TA sampling point ratio as the secondary peak position.

Optionally, the generating a first difference vector according to the obtained number of sampling points of the ith TA interval includes:

by the formula Diff _v (i) N-1, calculating the number of sampling points of the ith TA interval to generate a first difference vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points of the ith TA interval, and Diff _v (i) Is the first difference vector.

Optionally, the generating a second differential vector according to the first differential vector includes:

by the formula Trend = sign (Diff) _v )，

if Trend (i) =0, trend (i + 1) ≥ 0, trend (i) =1, if Trend (i) =0, trend (i + 1) < 0, trend (i) = -1, and calculating the first difference vector to generate a second difference vector, wherein Diff (i) =0, trend (i) = -1 _v (i) Trend is the second difference vector for the first difference vector.

Optionally, the generating a third differential vector according to the second differential vector includes:

and calculating the second difference vector by a formula R = diff (Trend) = Trend (i + 1) -Trend (i) to generate a third difference vector, wherein Trend is the second difference vector, and R is the third difference vector.

In another aspect, an embodiment of the present invention provides a positioning apparatus for a handover coverage cell, including:

the construction module is used for constructing a data matrix according to the acquired sampling point identifier, the main service cell identifier, the time advance TA information of the main service cell and the AOA information of the antenna arrival angle of the main service cell;

the first generation module is used for generating a TA distribution curve according to the data matrix;

the second generation module is used for calculating the TA distribution curve through a difference vector metering algorithm to generate a cross-area coverage distance interval;

the selection module is used for selecting the sampling point of the cross-area coverage distance interval according to the data matrix;

the third generation module is used for calculating the sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area;

and the determining module is used for determining a cross-region coverage cell according to the acquired macro station information and the cross-region coverage area.

In another aspect, an embodiment of the present invention provides a storage medium, including: the storage medium includes a stored program, and when the program runs, the device in which the storage medium is located is controlled to execute the above-mentioned positioning method of the handover coverage cell.

In another aspect, an embodiment of the present invention provides a computer device, which includes a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, where the program instructions are loaded by the processor and executed to implement the steps of the above-mentioned method for positioning a handover coverage cell.

In the technical scheme of the positioning method of the cross-area coverage cell provided by the embodiment of the invention, a data matrix is constructed according to the acquired sampling point identifier, the main service cell identifier, the TA information of the time advance of the main service cell and the AOA information of the antenna arrival angle of the main service cell; generating a TA distribution curve according to the data matrix; calculating a TA distribution curve through a differential vector meter algorithm to generate a cross-zone coverage distance interval; selecting a sampling point of a cross-area coverage distance interval according to the data matrix; calculating sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area; and determining a cross-region coverage cell according to the obtained macro station information and the cross-region coverage area. According to the technical scheme provided by the embodiment of the invention, the cross-area coverage cell can be determined based on the TA distribution curve, and the accuracy of positioning the cross-area coverage cell is improved.

[ description of the 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 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 it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart of a method for positioning a handover coverage cell according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a TA distribution curve;

fig. 3 is a flowchart of calculating a TA distribution curve by a difference vector calculation method in fig. 1 to generate a cross-region coverage distance interval;

FIG. 4 is a flowchart of the TA distribution curve calculated by the difference vector calculation method in FIG. 3 to generate peak bits;

fig. 5 is a schematic structural diagram of a positioning apparatus for a coverage cell according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a second generation module shown in FIG. 5;

fig. 7 is a schematic diagram of a computer device according to an embodiment of the present invention.

[ detailed description ] A

In order to better understand the technical scheme of the invention, the following detailed description of the embodiments of the invention is made with reference to the accompanying drawings.

It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. 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 terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "and/or" as used herein is merely a relationship that describes an associated object, meaning that three relationships may exist, e.g., A and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

An embodiment of the present invention provides a method for positioning a handover coverage cell, and fig. 1 is a flowchart of the method for positioning a handover coverage cell according to the embodiment of the present invention, as shown in fig. 1, where the method includes:

102, constructing a data matrix according to the acquired sampling point identifier, the main service cell identifier, the time advance TA information of the main service cell and the AOA information of the antenna arrival angle of the main service cell.

In the embodiment of the invention, each step is executed by computer equipment. For example, the computer device comprises a computer or a tablet computer.

In this embodiment of the present invention, before step 102, the method further includes: the method comprises the steps Of obtaining sampling point identification, main service cell Time Advance (TA) information and main service cell antenna Arrival Angle (AOA) information from user equipment. For example, the user device includes a cell phone or a tablet computer.

In this step, a data matrix is constructed according to the acquired sampling point identifier, the main serving cell identifier, the TA information of the main serving cell and the AOA information of the main serving cell. For example, the data matrix is

Wherein, samplingPointID _n For sampling point identification, scelld is the primary serving cell identification, mr _n For primary serving cell TA information, MR _n AOA information for the primary serving cell.

In the embodiment of the invention, the TA information of the main service cell is MR _n The method can be used for determining the distance between the user equipment and the base station, so that the cross-area covered cell presents the characteristics that a lot of users are covered near the cell, fewer users are covered at the middle distance, more users are covered at the ultra-far coverage position, and the number of users is next to the number of users near the base station on the TA distribution curve.

And 104, generating a TA distribution curve according to the data matrix.

Specifically, according to the data matrix, a TA distribution curve is generated according to the primary serving cell identifier scelld.

Fig. 2 is a schematic diagram of a TA distribution curve, as shown in fig. 2, where the abscissa of fig. 2 is time in milliseconds, and the ordinate is the number of sampling points in units of one, and a cell that meets the characteristics shown in fig. 2 is determined as a suspected handover cell.

And 106, calculating the TA distribution curve through a differential vector meter algorithm to generate a cross-area coverage distance interval.

In an embodiment of the present invention, fig. 3 is a flowchart of calculating a TA distribution curve by a difference vector calculation method in fig. 1 to generate a handover coverage distance interval, as shown in fig. 3, step 106 includes:

step 1062, calculating the TA distribution curve by a difference vector meter algorithm to generate a peak value bit.

In the embodiment of the invention, the peak point of the peak position satisfies that the first derivative of the TA distribution curve is 0, and the second derivative is a negative number. Since the TA distribution is a discrete distribution, a differential vectoring algorithm may be employed to determine the peak bits of the TA distribution curve.

In this embodiment of the present invention, as shown in fig. 4, fig. 4 is a flowchart of calculating a TA distribution curve by using a difference vector calculation method in fig. 3 to generate a peak bit, and as shown in fig. 4, step 1062 includes:

step A1, generating a first differential vector according to the number of the acquired sampling points of the ith TA interval.

In particular, by the formula Diff _v (i) N-1, calculating the number of sampling points in the ith TA interval to generate a first difference vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points in the ith TA interval, and Diff _v (i) Is a first difference vector.

And A2, generating a second differential vector according to the first differential vector.

In particular, by the formula Trend = sign (Diff) _v )，

if Trend (i) =0, trend (i + 1) ≥ 0, trend (i) =1, if Trend (i) =0, trend (i + 1) < 0, trend (i) = -1, and calculating the first difference vector to generate a second difference vector, wherein Diff (i) =0, trend (i) = -1, and Diff (i) =0 _v (i) Trend is the second difference vector.

In this step, the first difference vector is operated by taking a sign function, i.e. the Diff is traversed _v If Diff _v (i) If > 0, then take 1, if Diff _v (i) If < 0, take-1, if Diff _v (i) And =0, the value is 0.

And A3, generating a third differential vector according to the second differential vector.

Specifically, the second difference vector is calculated by the formula R = diff (Trend) = Trend (i + 1) -Trend (i), and a third difference vector is generated, where Trend is the second difference vector and R is the third difference vector.

Step A4, judging whether the third difference vector is a set numerical value, if so, executing step A5; if not, the process is ended.

In the embodiment of the present invention, the setting value may be set to-2.

In the embodiment of the invention, if the third differential vector is judged to be a set value, the peak position of the TA distribution curve is found; if the third difference vector is not determined to be the set value, it indicates that the peak position of the TA distribution curve is not found.

And step A5, determining the peak value bit corresponding to the number of the sampling points in the (i + 1) th TA interval as the peak value bit.

In this step, the peak value of the peak bit corresponding to the number of sampling points in the (i + 1) th TA interval is V (i + 1).

And step 1064, generating a secondary peak position according to the peak position.

In this embodiment of the present invention, step 1064 includes:

and B1, calculating the wave peak position by a differential vector calculation method to generate TA sampling point ratio.

B2, judging whether the TA sampling point ratio is the second largest and is larger than a set multiple of the largest TA sampling point ratio, and if so, executing a step B3; if not, the process is ended.

In this step, if the TA sampling point ratio is determined to be the second largest and larger than the set multiple of the largest TA sampling point ratio, the peak position of the TA sampling point ratio which is the second largest and larger than the set multiple of the largest TA sampling point ratio is the secondary peak position; if the TA sampling point ratio is judged not to be the second largest or the set multiple smaller than or equal to the largest TA sampling point ratio, the secondary peak position is not found out.

And B3, determining the peak position of the TA sampling point ratio which is the second largest and is larger than the set multiple of the largest TA sampling point ratio as a secondary peak position.

In this step, the TA sampling point ratio of the peak position obtained by the differential vector method is calculated, and the largest TA sampling point ratio is the main peak, i.e., the area normally covered by the area closer to the base station. And the TA sampling point accounts for the second largest peak which meets the condition that the sampling point accounts for a set multiple of the sampling point accounts for more than the main peak, and is determined as a secondary peak position and also as a peak point of the cross-region coverage area.

And step 1066, generating a cross-region coverage distance interval according to the secondary peak position.

In this step, according to the TA interval i of the sub-peak position, difference calculation is performed from i to the left and right directions, i.e. V (i) -V (i + 1) and V (i) -V (i-1) are calculated, when V (i) -V (i + 1) > 0, V (i + 1) -V (i + 2) is continuously calculated until V (i + M) -V (i + M + 1) ≦ 0, and when V (i) -V (i-1) > 0, V (i-1) -V (i-2) is continuously calculated until V (i-N) -V (i-N-1) ≦ 0, and the distance interval of the cross-region is determined to be [ i-N, i + M ]. Wherein N and M are set parameters.

And 108, selecting a sampling point of the cross-region coverage distance interval according to the data matrix.

For example, based on the data matrix, the sampling point of the cross-over coverage distance interval [ i-N, i + M ] is selected.

And step 110, calculating sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area.

In the embodiment of the present invention, a Clustering algorithm (Density-Based Spatial Clustering of Applications with Noise, DBSCAN for short) is a relatively representative Density-Based Clustering algorithm. Unlike the partitioning and hierarchical clustering method, which defines clusters as the largest set of density-connected points, it is possible to partition areas with sufficiently high density into clusters and find clusters of arbitrary shape in a spatial database of noise.

In this step, the scanning radius is set to be eps, the minimum number of points is minPts, optionally selecting an unvisited sampling point to start, finding all points within the eps range, if the number of all nearby points is greater than or equal to minPts, the current point is marked as the core point and a new cluster is allocated, and the point is marked as visited, recursively, processing all the points in the cluster which are not marked as visited in the same way, if the neighboring points are not allocated a cluster, allocating the new cluster label just created to them, if they are the core point, successively visiting the neighboring points until there are no more core samples within the eps of the cluster. If the number of all nearby points < minPts, then that point is temporarily marked as a noise point. And selecting new points which are not marked as accessed, and repeating the process until N set clusters are clustered, namely the cross-area coverage area.

And step 112, determining a handover coverage cell according to the acquired macro station information and the handover coverage area.

In this step, macro station information is obtained from the server, and with the handover coverage area as the center, in the radius R range, it is searched whether there is a reasonably covered macro station, and the cluster and cell connecting line are distributed in the range of ± δ degrees of the azimuth angle of the cell, that is, the coverage direction of the macro station includes the handover coverage area obtained in step 110, and if there is such a macro station, the cell is determined to be a handover coverage problem cell.

In the technical scheme provided by the embodiment of the invention, a data matrix is constructed according to the acquired sampling point identifier, the main service cell identifier, the TA information of the time advance of the main service cell and the AOA information of the antenna arrival angle of the main service cell; generating a TA distribution curve according to the data matrix; calculating a TA distribution curve through a differential vector meter algorithm to generate a cross-zone coverage distance interval; selecting a sampling point of a cross-area coverage distance interval according to the data matrix; calculating sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area; and determining a cross-region coverage cell according to the obtained macro station information and the cross-region coverage area. According to the technical scheme provided by the embodiment of the invention, the cross-area coverage cell can be determined based on the TA distribution curve, and the accuracy of positioning the cross-area coverage cell is improved.

In the technical scheme provided by the embodiment of the invention, a TA distribution curve chart of the cell can be presented based on a sampling point identifier, a main service cell identifier, time advance TA information of the main service cell and AOA information of an antenna arrival angle of the main service cell reported by user equipment, if the TA distribution curve chart presents a plurality of near-cell coverage users, a few intermediate-distance coverage users, a plurality of ultra-far coverage position users and the characteristic of the number of near-cell users, the cell is considered to be a suspected cross-area coverage cell, then the cross-area coverage area is calculated by combining sampling points reported by the user equipment, finally macro-station information in a server is correlated to judge whether the cross-area coverage area has a reasonable coverage base station, if so, the cell is judged to be the cross-area coverage cell, data reported by the user is real and objective, and the judgment accuracy is high.

The embodiment of the invention provides a positioning device for a cross-region coverage cell. Fig. 5 is a schematic structural diagram of a positioning apparatus for a handover coverage cell according to an embodiment of the present invention, as shown in fig. 5, the apparatus includes: a building module 11, a first generating module 12, a second generating module 13, a selecting module 14, a third generating module 15 and a determining module 16.

The constructing module 11 is configured to construct a data matrix according to the acquired sampling point identifier, the primary serving cell identifier, the TA information of the time advance of the primary serving cell, and the AOA information of the antenna arrival angle of the primary serving cell.

The first generating module 12 is configured to generate a TA distribution curve according to the data matrix.

The second generating module 13 is configured to calculate the TA distribution curve through a differential vector counting algorithm, and generate a coverage area distance interval.

The selecting module 14 is configured to select a sampling point of the cross-region coverage distance interval according to the data matrix.

And the third generating module 15 is configured to calculate the sampling points through a clustering algorithm DBSCAN to generate a cross-region coverage area.

The determining module 16 is configured to determine a handover coverage cell according to the obtained macro station information and the handover coverage area.

In an embodiment of the present invention, fig. 6 is a schematic structural diagram of the second generating module 13 in fig. 5, and as shown in fig. 6, the second generating module 13 includes: a first generation submodule 131, a second generation submodule 132, and a third generation submodule 133.

The first generation submodule 131 is configured to calculate the TA distribution curve through a differential vector meter algorithm, and generate a peak bit.

The second generating submodule 132 is configured to generate a secondary peak position according to the peak position.

The third generating sub-module 133 is configured to generate a handover coverage distance interval according to the secondary peak position.

In the embodiment of the present invention, the first generating sub-module 131 is specifically configured to generate a first differential vector according to the acquired number of sampling points in the ith TA interval; generating a second differential vector according to the first differential vector; generating a third differential vector according to the second differential vector; judging whether the third difference vector is a set value or not; and if the third differential vector is judged to be a set value, determining the peak position corresponding to the number of the sampling points of the (i + 1) th TA interval as the peak position.

In the embodiment of the present invention, the third generating sub-module 132 is specifically configured to calculate the secondary peak position by using a differential vector meter algorithm, and generate a TA sampling point ratio; judging whether the TA sampling point ratio is the second largest and is larger than a set multiple of the largest TA sampling point ratio; and if the TA sampling point ratio is judged to be the second largest and is larger than the set multiple of the largest TA sampling point ratio, determining the peak position of the TA sampling point ratio which is the second largest and is larger than the set multiple of the largest TA sampling point ratio as a secondary peak position.

In this embodiment of the present invention, the first generation submodule 131 is specifically configured to use a formula Diff _v (i) N-1, calculating the number of sampling points of the ith TA interval to generate a first difference vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points of the ith TA interval, and Diff _v (i) Is the first difference vector.

In this embodiment of the present invention, the first generation submodule 131 is specifically configured to use the formula Trend = sign (Diff) _v )，

if Trend (i) =0, trend (i + 1) ≥ 0, trend (i) =1, if Trend (i) =0, trend (i + 1) < 0 and Trend (i) = -1, the first difference vector is calculated, and a second difference vector is generated, wherein Diff (i) =0, trend (i) =1 _v (i) Trend is the second difference vector for the first difference vector.

In this embodiment of the present invention, the first generating submodule 131 is specifically configured to calculate the second difference vector by a formula R = diff (Trend) = Trend (i + 1) -Trend (i), and generate a third difference vector, where Trend is the second difference vector, and R is the third difference vector.

In the technical scheme provided by the embodiment of the invention, a data matrix is constructed according to the acquired sampling point identifier, the main service cell identifier, the TA information of the time advance of the main service cell and the AOA information of the antenna arrival angle of the main service cell; generating a TA distribution curve according to the data matrix; calculating a TA distribution curve through a difference vector meter algorithm to generate a cross-zone coverage distance interval; selecting a sampling point of a cross-zone coverage distance interval according to the data matrix; calculating sampling points through a clustering algorithm DBSCAN to generate a cross-zone coverage area; and determining a cross-region coverage cell according to the obtained macro station information and the cross-region coverage area. According to the technical scheme provided by the embodiment of the invention, the cross-area coverage cell can be determined based on the TA distribution curve, and the accuracy of positioning the cross-area coverage cell is improved.

The positioning device for a coverage area cell provided by this embodiment may be used to implement the above-mentioned positioning method for a coverage area cell in fig. 1, fig. 3 and fig. 4, and specific description may refer to the above-mentioned embodiment of the positioning method for a coverage area cell, and the description is not repeated here.

Embodiments of the present invention provide a storage medium, where the storage medium includes a stored program, where, when the program runs, a device on which the storage medium is located is controlled to execute each step of the above-mentioned embodiment of the method for positioning a handover coverage cell, and for a specific description, reference may be made to the above-mentioned embodiment of the method for positioning a handover coverage cell.

Embodiments of the present invention provide a computer device, which includes a memory and a processor, the memory is configured to store information including program instructions, and the processor is configured to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement the steps of the embodiments of the positioning method for a handover coverage cell described above.

Fig. 7 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 7, the computer device 20 of this embodiment includes: a processor 21, a memory 22, and a computer program 23 stored in the memory 22 and capable of running on the processor 21, where the computer program 23 is executed by the processor 21 to implement the positioning method applied to the handover coverage cell in the embodiment, and for avoiding repetition, it is not described herein repeatedly. Alternatively, the computer program is executed by the processor 21 to implement the functions of each model/unit in the positioning apparatus applied to the handover coverage cell in the embodiment, which are not described herein repeatedly to avoid repetition.

The computer device 20 includes, but is not limited to, a processor 21, a memory 22. Those skilled in the art will appreciate that fig. 7 is merely an example of a computer device 20 and is not intended to limit the computer device 20 and that it may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.

The Processor 21 may be a Central Processing Unit (CPU), other general purpose Processor, 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, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 22 may be an internal storage unit of the computer device 20, such as a hard disk or a memory of the computer device 20. The memory 22 may also be an external storage device of the computer device 20, such as a plug-in hard disk provided on the computer device 20, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 22 may also include both internal storage units and external storage devices of the computer device 20. The memory 22 is used for storing computer programs and other programs and data required by the computer device. The memory 22 may also be used to temporarily store data that has been output or is to be output.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer-readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. A method for locating a handover coverage cell, comprising:

constructing a data matrix according to the acquired sampling point identifier, the primary serving cell identifier, the TA information of the time advance of the primary serving cell and the AOA information of the antenna arrival angle of the primary serving cell;

generating a TA distribution curve according to the data matrix;

2. The method of claim 1, wherein the calculating the TA profile to generate a handover coverage interval by a difference vector calculation method comprises:

generating a secondary peak position according to the peak position;

3. The method of claim 2, wherein calculating the TA profile by a difference vector calculation to generate peak bits comprises:

judging whether the third difference vector is a set value or not;

4. The method of claim 2, wherein generating the sub-peak positions from the peak positions comprises:

judging whether the TA sampling point ratio is the second largest and is larger than the set multiple of the largest TA sampling point ratio;

5. The method according to claim 3, wherein the generating a first difference vector according to the obtained number of sampling points of the ith TA interval comprises:

by the formula Diff _v (i) N-1, and generating a first difference vector, wherein i represents the ith TA interval, V (i) represents the number of sampling points in the ith TA interval, and Diff represents the number of sampling points in the ith TA interval _v (i) Is the first difference vector.

6. The method of claim 3, wherein generating a second difference vector from the first difference vector comprises:

by the formula Trend = sign (Diff) _v )，

7. The method of claim 3, wherein generating a third difference vector from the second difference vector comprises:

8. A positioning apparatus for a handover coverage cell, comprising:

9. A storage medium, comprising: the storage medium includes a stored program, wherein the program controls a device in which the storage medium is located to perform the method for locating a handover coverage cell according to any one of claims 1 to 7 when the program is executed.

10. A computer device comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, characterized in that the program instructions are loaded and executed by the processor to implement the steps of the method for positioning a handover coverage cell according to any of claims 1 to 7.