CN111356142A

CN111356142A - Service processing method and device

Info

Publication number: CN111356142A
Application number: CN201811573773.3A
Authority: CN
Inventors: 张俊; 王凌云; 李光伟
Original assignee: ZTE Corp
Current assignee: ZTE Corp
Priority date: 2018-12-21
Filing date: 2018-12-21
Publication date: 2020-06-30
Anticipated expiration: 2038-12-21
Also published as: WO2020125056A1; CN111356142B

Abstract

The invention discloses a service processing method and a device, wherein the method comprises the following steps: selecting two adjacent cells meeting a preset rule corresponding to the target service for the target cell; respectively carrying out RSRP segmentation division on the coverage areas of a target cell and two adjacent cells according to a pre-configured Reference Signal Received Power (RSRP) segmentation step length, and identifying each RSRP value interval; combining the RSRP value interval identifications of the target cell and the RSRP value interval identifications corresponding to the two adjacent cells respectively to construct grid division information of the target cell, wherein the grid division information comprises a plurality of grids, and each grid is represented by one RSRP value interval identification of the target cell and one RSRP value interval identification corresponding to each of the two adjacent cells; establishing fingerprint data for grids in the grid division information; and processing the target service according to the fingerprint data. The technical problem that historical measurement information of other user equipment in a grid cannot be used for mutual reference and cooperation to guide a target service in the prior art is effectively solved.

Description

Service processing method and device

Technical Field

The present invention relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for processing a service.

Background

Currently, Long Term Evolution (LTE) networks are deployed in a large scale. Although the LTE network has the characteristics of more and more complex network structure, continuously increasing service types, and increasingly lacking spectrum resources, operators have raised higher requirements for network stability, reliability, service delay, user experience, and other indexes. The same problem exists with the 5G NR (New Radio) that is about to be used commercially.

The cell is used as the minimum basic management unit in the network to uniformly manage the cell coverage and the user equipment in the cell, which is not favorable for further optimization of the network. Whether in terms of network quality, user experience, network optimization, and the like, it is an inevitable trend and choice to perform more refined management on the cell coverage and users in the cell.

Cell rasterization is a mainstream research direction in order to realize more refined management of cell coverage and user equipment in a cell. In the prior art, the basic principle for dividing the cell grids is to physically divide the cell coverage by using the longitude and latitude of the cell coverage, and one grid of a cell corresponds to a certain physical area position.

In the method for partitioning the grid, because the cell Reference Signal Receiving Powers (RSRPs) measured by the user equipments of different models or different manufacturers may have a large difference, in both the LTE network and the 5G network, the historical measurement information of the other user equipments in the grid cannot be used for mutual Reference and cooperation to guide the target service, for example, the service behavior of a certain user equipment in the grid cannot be guided and the network cannot be optimized.

Disclosure of Invention

The embodiment of the invention aims to provide a service processing method and a service processing device, and aims to solve the technical problem that the prior art cannot utilize historical measurement information of other user equipment in a grid to perform mutual reference and cooperation to guide a target service.

To solve the above technical problem, the embodiment of the present invention is implemented as follows:

in a first aspect, an embodiment of the present invention provides a method for processing a service, where the method includes:

selecting two adjacent cells meeting a preset rule corresponding to the target service for the target cell;

respectively carrying out RSRP segmentation division on the coverage areas of the target cell and the two adjacent cells according to a pre-configured Reference Signal Received Power (RSRP) segmentation step length, and identifying each RSRP value interval;

combining the RSRP value interval identifications of the target cell and the RSRP value interval identifications corresponding to the two adjacent cells respectively to construct grid division information of the target cell, wherein the grid division information comprises a plurality of grids, and each grid is represented by one RSRP value interval identification of the target cell and one RSRP value interval identification corresponding to each of the two adjacent cells;

establishing fingerprint data for grids in the grid division information;

and processing the target service according to the fingerprint data.

In a second aspect, an embodiment of the present invention provides a service processing apparatus, including:

the selection module is used for selecting two adjacent cells meeting a preset rule corresponding to the target service for the target cell;

a segmentation module, configured to perform RSRP segmentation on coverage areas of the target cell and the two neighboring cells, respectively, according to a preconfigured reference signal received power RSRP segmentation step size, and identify each RSRP value interval;

a building module, configured to combine the RSRP value interval identifier of the target cell and the RSRP value interval identifiers corresponding to the two neighboring cells, and build raster division information of the target cell, where the raster division information includes multiple grids, and each grid is represented by one RSRP value interval identifier of the target cell and one RSRP value interval identifier corresponding to each of the two neighboring cells;

the data module is used for establishing fingerprint data for the grids in the grid division information;

and the processing module is used for processing the target service according to the fingerprint data.

In a third aspect, an embodiment of the present invention provides a network device, including a memory, a processor, and a computer application program that is on the memory and is executable on the processor, where the computer application program, when executed by the processor, implements a service processing method of any one of the services.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements a service processing method according to any one of the foregoing aspects.

The method and the device for processing the service provided by the embodiment of the invention utilize different combinations of RSRP values of a target cell and two adjacent cells to perform grid division on the coverage area of the target cell to form grid division information so as to rasterize the coverage area of the target cell, then fingerprint data are established for grids in the grid division information, and the target service is processed according to the fingerprint data, compared with the division of cell grids in the prior art, the method and the device for processing the service provided by the embodiment of the invention utilize the RSRP to perform grid division on the cell and establish the fingerprint data for the grids, so that the target service can be processed according to the fingerprint data subsequently, the reference effect of the RSRP on the target service is considered, the service data of different user equipment in the grids can be mutually referred and cooperated, the target service is guided, the network quality and the user experience are improved, and service processing judgment can be made according to the existing fingerprint data of the grids, and some steps in the service processing are reduced, thereby reducing the service processing time.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a flowchart of a service processing method according to an embodiment of the present invention;

fig. 2 is a flowchart of a service processing method according to another embodiment of the present invention;

fig. 3 is a flowchart of a service processing method according to another embodiment of the present invention;

fig. 4 is a schematic structural diagram of a service processing apparatus according to an embodiment of the present invention;

fig. 5 is a block diagram of a network device 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 some, not all, embodiments of the present invention. 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.

An embodiment of the present invention provides a flowchart of a service processing method, as shown in fig. 1, where the method includes:

and step S102, selecting two adjacent cells meeting a preset rule corresponding to the target service for the target cell.

Specifically, the predetermined rules corresponding to different target services are different, and when the target service is processed, two neighboring cells are selected for the target cell according to the predetermined rules corresponding to the target service.

Illustratively, the target service is: establishing a dual-connection auxiliary cell for user equipment; the predetermined rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold, the switching success rate with the target cell meets a preset success rate threshold, the target cell is an inter-frequency adjacent cell, and the two adjacent cells are inter-frequency adjacent cells.

And step S104, respectively carrying out RSRP segmentation division on the coverage areas of the target cell and the two adjacent cells according to the pre-configured RSRP segmentation step length, and identifying each RSRP value interval.

Specifically, RSRP segmentation is performed on RSRP values of RSRP values within an effective value range in coverage areas of the target cell and the two neighboring cells, respectively.

Wherein, the effective value range is-60 dB to-120 dB.

Exemplarily, the preconfigured RSRP segmentation step size is 5dB, and RSRP segmentation is performed on the coverage areas of the target cell and two neighboring cells, respectively, so that the RSRP value is segmented into [ -60, -65), [ -65, -70), …, [ -110, -115) and [ -115, -120) RSRP value intervals, where [ -60, -65) segment number is 1, [ -65, -70) segment number is 2, …, [ -110, -115) segment number is 11, [ -115, -120) segment number is 12, and each RSRP value interval is identified, for example, each segment identification of the target cell a is: a1, a2, A3, a11, a12, that is, all the user equipments whose measured RSRP value of the target cell a is [ -60, -65), belong to the user equipments in the target cell a segment a1, and similarly, the respective segment identities of the neighbor cells B in the two neighbor cells are: b1, B2, B3, …, B11, B12, that is, all the user equipments whose measured neighboring cell B RSRP value is [ -60, -65), belong to the user equipments in neighboring cell a segment B1, and each segment of neighboring cell C in the two neighboring cells is identified as: c1, C2, C3, …, C11, C12, i.e. all user equipments whose neighbor cell C has an RSRP value of [ -60, -65), belong to the user equipments in the neighbor cell a segment C1.

Step S106, combining the RSRP value interval identification of the target cell and the RSRP value interval identifications respectively corresponding to the two adjacent cells, and constructing grid division information of the target cell, wherein the grid division information comprises a plurality of grids, and each grid is represented by one RSRP value interval identification of the target cell and one RSRP value interval identification respectively corresponding to the two adjacent cells.

Specifically, the grid division information is a grid list.

Illustratively, the RSRP value interval identifier of the target cell and the RSRP value interval identifiers corresponding to two neighboring cells are combined, and the constructed raster division information of the target cell includes a raster: (A1, B1, C1), (A1, B2, C1), …, (A12, B12, C12)

Exemplarily, (a1, B1, C1) uniquely represents one grid, (a2, B1, C1) uniquely represents another grid, (a1, B1, C1) and (a2, B1, C1) represent different grids; when a user equipment measures that the RSRP values of the target cell a, the neighboring cell B, and the neighboring cell C simultaneously satisfy the value ranges of a1, B1, and C1, the user equipment is located in a grid (a1, B1, C1).

And step S108, establishing fingerprint data for grids in the grid division information.

Specifically, fingerprint data is established according to a Measurement Report (MR) reported by user equipment in the grid.

And step S110, processing the target service according to the fingerprint data.

Specifically, the fingerprint data is analyzed, and the target service is processed according to the analysis result.

The service processing method provided by the embodiment of the invention utilizes different combinations of RSRP values of a target cell and two adjacent cells to perform grid division on the coverage area of the target cell to form grid division information so as to rasterize the coverage area of the target cell, then fingerprint data are established for grids in the grid division information, and the target service is processed according to the fingerprint data, compared with the grid division of the cells in the prior art, the method utilizes the RSRP to perform grid division on the cells and establish the fingerprint data for the grids, so that the target service can be processed according to the fingerprint data in the follow-up process, the reference function of the RSRP on the target service is considered, the service data of different user equipment in the grids can be mutually referred and cooperated, the target service is guided, the network quality and the user experience are improved, and service processing judgment can be made according to the existing fingerprint data of the grids, and some steps in the service processing are reduced, thereby reducing the service processing time.

In an embodiment of the present invention, the target service is: establishing a dual-connection auxiliary cell for target user equipment; the predetermined rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold, the switching success rate with the target cell meets a preset success rate threshold, the target cell is an inter-frequency adjacent cell, and the two adjacent cells are inter-frequency adjacent cells.

The step S108 may include:

sending a measurement configuration indication message to at least one user equipment in the coverage area of the target cell, wherein the measurement configuration indication message indicates the at least one user equipment to measure the target cell and two adjacent cells according to the measurement configuration indication message;

receiving a measurement report reported by at least one user equipment, wherein the measurement report comprises RSRP values of a target cell and RSRP values of two adjacent cells;

determining a service grid where at least one user equipment is located according to the RSRP value of the target cell, the RSRP values of two adjacent cells and grid division information in the measurement report;

and according to the information included in the measurement report and other related information of the two adjacent cells, counting the grid data corresponding to the service grid, and establishing fingerprint data.

By the embodiment, the fingerprint data of the grid can be established in advance by the user equipment in the coverage area of the target cell, and a reference function is provided for the subsequent service processing of the target user equipment.

Further, in an embodiment of the present invention, the step S110 may include:

when a dual-connection auxiliary cell is established for target user equipment, determining a first grid where the target user equipment is located according to the RSRP value of the target cell, the RSRP values of two adjacent cells and grid division information measured by the target user equipment;

selecting a target neighbor cell for double connection according to corresponding raster data of the first raster in the fingerprint data and a double-connection auxiliary cell selection strategy;

and sending a double connection establishment request to a neighbor cell base station where the target neighbor cell is located so as to establish a double connection auxiliary cell for the target user equipment.

Specifically, according to the requirement of the target service, for example, when the load of the target cell where the target user equipment is located is large and the capability of the base station corresponding to the target cell cannot meet the requirement, a dual-connection secondary cell is established for the target user equipment.

Specifically, after sending a dual connectivity establishment request to the neighbor cell base station where the target neighbor cell is located, the dual connectivity secondary cell is established for the target user equipment according to the reply message of the neighbor cell base station. For example, the target neighboring cell of the neighboring cell base station that receives the reply message and has the highest priority is selected as the secondary cell for establishing the dual connectivity, the initiated request for establishing the other dual connectivity is cancelled, the base station of the target cell issues a reconfiguration message for establishing the dual connectivity to the target user equipment, and the target user equipment establishes the connectivity to the secondary cell.

By the embodiment, when the dual-connection secondary cell is established for the target user equipment, the grid where the target user equipment is located is determined by utilizing the grid division information, and the dual-connection secondary cell is established for the target user equipment by utilizing the fingerprint data recorded in advance as a reference.

In one embodiment of the present invention, the other related information includes: the number of online users, the success rate of initiating double connection establishment to the measured adjacent cell base station by the serving cell; the grid data corresponding to each grid comprises: the measured RSRP value of the adjacent cell measures the online user number of the adjacent cell, and the success rate of the target cell initiating the establishment of double connection to the base station of the adjacent cell where the measured adjacent cell is located; the dual-connection secondary cell selection strategy comprises the following steps: selecting indexes and weights corresponding to the indexes; the selection index includes: at least one of the RSRP value of the adjacent cell in a preset first threshold range, the number of online users of the adjacent cell in a preset second threshold range, and the success rate of initiating double connection establishment to the adjacent cell base station of the adjacent cell by the target cell in a preset third threshold range;

selecting a target neighbor cell for dual connectivity according to fingerprint data corresponding to the first grid and a dual connectivity secondary cell selection strategy, comprising:

and sorting the adjacent cells in the first grid according to grid data corresponding to the first grid and a double-connection auxiliary cell selection strategy, and selecting one or more previously sorted adjacent cells as target adjacent cells of double connection.

By the embodiment, a target neighbor cell for dual connectivity can be selected for the target user equipment by combining a dual connectivity secondary cell selection strategy and pre-recorded grid data corresponding to a grid where the target user equipment is located, so that service data of different user equipments in the grid can be mutually referred to and cooperated.

In an embodiment of the present invention, the measurement report further includes: the measurement times of the two adjacent cells and the cell types of the two adjacent cells; other relevant information also includes: load information; the grid data corresponding to each grid further comprises: the number of measurements of the measured neighbor cell, the cell type of the measured neighbor cell, and the load information of the measured neighbor cell.

Another embodiment of the present invention provides a flow chart of a service processing method, as shown in fig. 2, the method includes:

step S201, two neighboring cells satisfying a predetermined rule corresponding to the target service are selected for the target cell.

Specifically, the target service is: establishing a dual-connection auxiliary cell for target user equipment; the predetermined rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold, the switching success rate with the target cell meets a preset success rate threshold, the target cell is an inter-frequency adjacent cell, and the two adjacent cells are inter-frequency adjacent cells.

Specifically, the target cell is a serving cell of the target user equipment.

Step S202, according to the preset RSRP segmentation step length, RSRP segmentation division is respectively carried out on the coverage areas of the target cell and the two adjacent cells, and each RSRP value interval is marked.

Specifically, RSRP segmentation is performed on RSRP values of RSRP values within an effective value range in coverage areas of the target cell and the two neighboring cells, respectively. For a specific dividing method, reference is made to the related description of step S104, and details of this embodiment are not repeated herein.

Step S203, combining the RSRP value interval identifier of the target cell and the RSRP value interval identifiers corresponding to the two neighboring cells, and constructing grid division information of the target cell, where the grid division information includes a plurality of grids, and each grid is represented by one RSRP value interval identifier of the target cell and one RSRP value interval identifier corresponding to each of the two neighboring cells.

For specific description, reference is made to the above description of step S106, and this embodiment is not described herein again.

Step S204, sending a measurement configuration indication message to at least one user equipment in the coverage area of the target cell, wherein the measurement configuration indication message indicates the at least one user equipment to measure the target cell and two adjacent cells according to the measurement configuration indication message.

Step S205, receiving a measurement report reported by at least one ue, where the measurement report includes RSRP values of a target cell and RSRP values of two neighboring cells.

Step S206, determining a service grid where at least one user equipment is located according to the RSRP value of the target cell, the RSRP values of the two adjacent cells and the grid division information in the measurement report.

Specifically, the RSRP value of the target cell and the RSRP values of the two neighboring cells in the measurement report are respectively mapped to target cell segment identifiers corresponding to the grid division information, and a service grid where the user equipment is located is determined. For example, the service grid of the user equipment is determined to be (a1, B1, C1).

Step S207, according to the information included in the measurement report and other related information of the two neighboring cells, statistics is performed on the grid data corresponding to the service grid, and fingerprint data is established.

Specifically, the measurement report includes RSRP values of the target cell and RSRP values of two neighboring cells; other relevant information includes: the number of online users, the success rate of initiating double connection establishment to the measured adjacent cell base station by the serving cell; the grid data corresponding to each grid comprises: the measured RSRP value of the adjacent cell measures the online user number of the adjacent cell, and the success rate of the target cell initiating the establishment of the double connection to the base station of the adjacent cell where the measured adjacent cell is located.

Step S208, when the dual-connection auxiliary cell is established for the target user equipment, determining a first grid where the target user equipment is located according to the RSRP value of the target cell, the RSRP values of two adjacent cells and the grid division information measured by the target user equipment.

Illustratively, when a dual-connection secondary cell is established for a target user equipment, target cell segment identifiers corresponding to RSRP values of a target cell and RSRP values of two neighboring cells measured by the target user equipment are mapped to raster division information, and a first raster where the target user equipment is located is determined. For example, the first grid of target user equipment is determined to be (a1, B1, C1).

Step S209, selecting a target neighbor cell for dual connectivity according to the grid data corresponding to the first grid in the fingerprint data and the dual connectivity secondary cell selection policy.

Step S210, sending a dual connectivity establishment request to the neighboring cell base station where the target neighboring cell is located, so as to establish a dual connectivity secondary cell for the target user equipment.

The method for processing the service provided by the embodiment of the invention comprises the steps of selecting two adjacent cells meeting a preset rule corresponding to a target service for the target cell when establishing a dual-connection auxiliary cell for the target user equipment, respectively carrying out RSRP segmentation on the coverage areas of the target cell and the two adjacent cells according to a preset RSRP segmentation step length, marking each RSRP value interval, carrying out raster segmentation on the coverage area of the target cell to form raster segmentation information by utilizing different combinations of the RSRP values of the target cell and the two adjacent cells, rasterizing the coverage area of the target cell, then establishing fingerprint data for a raster in the raster segmentation information according to a measurement report reported by at least one user equipment in the coverage area of the target cell and other related information of the two adjacent cells, and establishing a dual-connection auxiliary cell for the target user equipment according to the RSRP value of the target cell measured by the target user equipment, The RSRP values and the grid division information of the two adjacent cells, a first grid where the target user equipment is located is determined, the target adjacent cell for carrying out double connection is selected according to corresponding grid data of the first grid in fingerprint data and a double-connection auxiliary cell selection strategy, a double-connection establishment request is sent to an adjacent cell base station where the target adjacent cell is located, and the double-connection auxiliary cell is established for the target user equipment. The dual-connection auxiliary cell can be established according to the existing fingerprint data of the grid, so that the measurement steps in the service processing are reduced, and the service processing time is reduced.

In one embodiment of the present invention, the target service is the same-frequency neighbor cell optimization; the predetermined rule corresponding to the target service is as follows: the pilot adjacent cell of the first RSRP signal strength and the pilot adjacent cell of the second RSRP signal strength;

before step S102, the method may further include:

within a preset statistical period, issuing a measurement configuration indication message to user equipment within the coverage of a target cell, wherein the measurement configuration indication message indicates the user equipment to measure the target cell and all adjacent cells of the target cell according to the measurement configuration indication message;

receiving a measurement report reported by user equipment, wherein the measurement report comprises an RSRP value of a target cell and RSRP values corresponding to all adjacent cells respectively;

the step S102 includes:

and according to the RSRP information of all the adjacent cells, selecting two adjacent cells meeting a preset rule corresponding to the target service for the target cell.

Specifically, it is equivalent to select a pilot neighboring cell with a first RSRP signal strength and a pilot neighboring cell with a second RSRP signal strength for the target cell. Correspondingly, the grid in the grid division information is represented by an RSRP value interval identifier of the target cell, an RSRP value interval identifier of the pilot neighbor cell of the first RSRP signal strength, and an RSRP value interval identifier of the pilot neighbor cell of the second RSRP signal strength.

According to the embodiment, measurement is performed in the preset statistical period, analysis can be performed according to multiple groups of data in the preset statistical period, and therefore the accuracy of service processing can be improved.

In an embodiment of the present invention, the step S108 may include:

and counting the grid data of the grid in the grid division information according to the measurement reports corresponding to the pilot adjacent cell with the first RSRP signal strength and the pilot adjacent cell with the second RSRP signal strength obtained in a preset counting period, and establishing fingerprint data.

Specifically, the fingerprint data includes: the method comprises the steps of uniquely representing a primary key value of a grid and a grid data list, wherein the grid data list is specifically a frequency point list contained in the grid.

The primary key values are used for distinguishing different grids, and are composed of three parts: the segment identifier corresponding to the RSRP value of the target cell, the segment identifier corresponding to the RSRP value of the pilot adjacent cell with the first RSRP signal strength and the segment identifier corresponding to the RSRP value of the pilot adjacent cell with the second RSRP signal strength.

The frequency point list is used for recording frequency point information of the same-frequency adjacent cells, identifications of the same-frequency adjacent cells and RSRP values of the same-frequency adjacent cells in the corresponding measurement reports in the grids.

According to the embodiment, the measurement report can be utilized to establish the fingerprint data for the grid, and a reference function is provided for the subsequent service processing of the same-frequency adjacent cell optimization.

In an embodiment of the present invention, the step S110 may include:

and when the preset statistical period is reached, determining the same-frequency adjacent cell relation to be optimized according to the fingerprint data and the same-frequency adjacent cell optimization principle.

In this embodiment, when the preset statistical period is over, the co-frequency adjacent cell relationship to be optimized is determined according to the fingerprint data and the co-frequency adjacent cell optimization principle, and analysis can be performed according to multiple groups of data in the preset statistical period, so that the accuracy of service processing can be improved.

In one embodiment of the present invention, the raster data includes: frequency point information of the same-frequency adjacent cells, identifications of the same-frequency adjacent cells and RSRP values of the same-frequency adjacent cells;

determining the same-frequency adjacent cell relation to be optimized according to the fingerprint data and the same-frequency adjacent cell optimization principle, wherein the method comprises the following steps:

according to the fingerprint data, counting the first times of the same-frequency adjacent cells appearing in the fingerprint data;

counting second times of pairing of the same-frequency adjacent cells formed by every two same-frequency adjacent cells in the fingerprint data, wherein the first times of pairing of the same-frequency adjacent cells corresponding to the same-frequency adjacent cells exceed a preset first time threshold;

and determining the same-frequency adjacent cells with lower RSRP signal intensity and/or the same-frequency adjacent cells with higher RSRP signal intensity in the same-frequency adjacent cell pairs with the second times corresponding to the same-frequency adjacent cell pairs exceeding the preset second time threshold, and performing optimization processing on the same-frequency adjacent cells according to the same-frequency adjacent cell optimization principle.

For example, if two co-frequent neighbor cells IntraNbrCell1 and IntraNbrCell2 occur simultaneously in a grid record, the second number of paired occurrences is incremented by 1.

In this embodiment, the same-frequency neighboring cell pair is optimized specifically according to every two same-frequency neighboring cell pairs, so that the accuracy of the same-frequency neighboring cell optimization can be improved.

In an embodiment of the present invention, the co-frequency neighbor cell preference rule is: deleting the same-frequency adjacent cells with lower RSRP signal intensity and/or adding adjacent cell relations to the same-frequency adjacent cells with higher RSRP signal intensity.

Specifically, when the same-frequency neighboring cell is optimized to add the same-frequency neighboring cell relationship, the same-frequency neighboring cell with higher RSRP signal strength is selected to add the neighboring cell relationship.

Specifically, when the co-frequency neighboring cell is optimized to delete the co-frequency neighboring cell with lower signal strength, the co-frequency neighboring cell with lower RSRP signal strength is selected to be deleted. Thus, the user equipment can be prevented from being switched to the adjacent cell with poor service quality.

As can be understood by those skilled in the art, if further network optimization processing is required, the same-frequency neighboring cells with lower RSRP signal strength and/or the same-frequency neighboring cells with higher RSRP signal strength may also be reported to the network manager, and the network manager further processes the same-frequency neighboring cells according to actual requirements.

In an embodiment of the present invention, counting, according to the fingerprint data, the first times of occurrence of each co-frequency neighbor cell in the fingerprint data includes:

according to the fingerprint data, constructing a raster bit diagram of the same-frequency adjacent cells, wherein each column in the raster bit diagram indicates one same-frequency adjacent cell in the fingerprint data, and each line corresponds to one raster record;

and according to the grid bit diagram, counting the first times of the appearance of each co-frequency adjacent cell in the fingerprint data.

The grid site diagram is shown in table 1 below.

TABLE 1 grid bit map

	Same frequency adjacent region 1	Same frequency adjacent region 2	...
				Grid record 1	1	1
Grid record 2	1	0
				...
Grid record n	0	0

Specifically, each column in the trellis diagram indicates one co-frequency neighbor cell in the fingerprint data, and each row corresponds to one trellis record. A "0" in the trellis diagram indicates that the corresponding co-frequency neighbor cell does not exist in the corresponding trellis entry; conversely, a "1" indicates that the co-frequency neighbor cell exists in the corresponding grid entry.

In the embodiment, the fingerprint data is processed to obtain the grid bit diagram which is convenient to calculate for subsequent calculation, so that the statistical efficiency can be improved.

Another embodiment of the present invention provides a flowchart of a service processing method, as shown in fig. 3, the method includes:

step S301, in a preset statistical period, issuing a measurement configuration indication message to the user equipment in the coverage area of the target cell, wherein the measurement configuration indication message indicates the user equipment to measure the target cell and all the neighboring cells of the target cell according to the measurement configuration indication message.

Step S302, a measurement report reported by the user equipment is received, wherein the measurement report comprises RSRP values of the target cell and RSRP values corresponding to all the adjacent cells respectively.

Step S303, according to the RSRP information of all the adjacent cells, two adjacent cells meeting the preset rule corresponding to the target service are selected for the target cell.

The target service is optimized for the same-frequency adjacent cells; the predetermined rule corresponding to the target service is as follows: the pilot neighbor cells of the first RSRP signal strength and the pilot neighbor cells of the second RSRP signal strength.

Specifically, it is equivalent to select a pilot neighboring cell with a first RSRP signal strength and a pilot neighboring cell with a second RSRP signal strength for the target cell.

And step S304, according to the pre-configured RSRP segmentation step length, respectively carrying out RSRP segmentation division on the coverage areas of the target cell and the two adjacent cells, and identifying each RSRP value interval.

Step S305, combining the RSRP value interval identifier of the target cell and the RSRP value interval identifiers corresponding to the two neighboring cells, and constructing grid division information of the target cell, where the grid division information includes a plurality of grids, and each grid is represented by one RSRP value interval identifier of the target cell and one RSRP value interval identifier corresponding to each of the two neighboring cells.

Step S306, according to the measurement reports corresponding to the pilot frequency adjacent cells with the first RSRP signal strength and the pilot frequency adjacent cells with the second RSRP signal strength, obtained in the preset counting period, the grid data of the grid in the grid division information is counted, and the fingerprint data is established.

And S307, when the preset statistical period is reached, determining the same-frequency adjacent cell relation to be optimized according to the fingerprint data and the same-frequency adjacent cell optimization principle.

The method for processing the service provided in the embodiment of the present invention receives a measurement report reported by user equipment in a preset statistical period when a target co-frequency neighboring cell is optimized, selects two neighboring cells meeting a predetermined rule corresponding to the target service for the target cell according to RSRP information of all neighboring cells in the measurement report, performs RSRP segmentation on coverage areas of the target cell and the two neighboring cells according to a preconfigured RSRP segmentation step size, identifies each RSRP value interval, performs trellis division on the coverage area of the target cell to form trellis division information by using different combinations of the RSRP values of the target cell and the two neighboring cells, so as to perform rasterization on the coverage area of the target cell, and then performs measurement reporting corresponding to a pilot frequency neighboring cell of a first RSRP signal strength and a pilot frequency neighboring cell of a second RSRP signal strength obtained in the preset statistical period, the method comprises the steps of counting raster data of a raster in raster division information, establishing fingerprint data, determining a co-frequency adjacent cell relation to be optimized according to the fingerprint data and a co-frequency adjacent cell optimization principle when a preset counting period is reached, and compared with the cell raster division in the prior art, performing raster division on cells by using RSRP and establishing the fingerprint data on the raster, so that the co-frequency adjacent cells can be optimized according to the fingerprint data subsequently, and the reference effect of the RSRP on a target service is considered, therefore, service data of different user equipment in the raster can be mutually referred and cooperated, network quality and user experience are improved, the co-frequency adjacent cells can be optimized according to the existing fingerprint data of the raster, measurement steps in service processing are reduced, and service processing time is shortened.

Corresponding to a service processing method provided in an embodiment of the present invention, an embodiment of the present invention provides a service processing apparatus, as shown in fig. 4, where the service processing apparatus includes:

a selecting module 41, configured to select, for a target cell, two neighboring cells that meet a predetermined rule corresponding to a target service;

a segmenting module 42, configured to perform RSRP segmentation on the coverage areas of the target cell and the two neighboring cells according to a preconfigured reference signal received power RSRP segmentation step, and identify each RSRP value interval;

a constructing module 43, configured to combine the RSRP value interval identifier of the target cell and the RSRP value interval identifiers corresponding to the two neighboring cells, and construct raster division information of the target cell, where the raster division information includes multiple grids, and each grid is represented by one RSRP value interval identifier of the target cell and one RSRP value interval identifier corresponding to each of the two neighboring cells;

a data module 44, configured to establish fingerprint data for the grids in the grid division information;

and the processing module 45 is configured to process the target service according to the fingerprint data.

In an embodiment of the present invention, the target service is: establishing a dual-connection auxiliary cell for target user equipment; the preset rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold value, the switching success rate with the target cell meets a preset success rate threshold value, the RSRP value is an inter-frequency adjacent cell of the target cell, and the two adjacent cells are inter-frequency adjacent cells;

the data module 44 is specifically configured to:

sending a measurement configuration indication message to at least one user equipment within the coverage of the target cell, wherein the measurement configuration indication message indicates the at least one user equipment to measure the target cell and the two adjacent cells according to the measurement configuration indication message;

receiving a measurement report reported by the at least one user equipment, wherein the measurement report comprises the RSRP value of the target cell and the RSRP values of the two adjacent cells;

determining a serving grid where the at least one user equipment is located according to the RSRP value of the target cell, the RSRP values of the two neighboring cells and the grid division information in the measurement report;

and according to the information included in the measurement report and other related information of the two adjacent cells, counting the raster data corresponding to the service raster, and establishing the fingerprint data.

In an embodiment of the present invention, the processing module 45 is specifically configured to:

when a dual-connection secondary cell is established for the target user equipment, determining a first grid where the target user equipment is located according to the RSRP value of the target cell, the RSRP values of the two adjacent cells and the grid division information measured by the target user equipment;

selecting a target neighbor cell for double connection according to the corresponding raster data of the first raster in the fingerprint data and a double-connection auxiliary cell selection strategy;

and sending a dual-connection establishment request to the neighbor cell base station where the target neighbor cell is located, so as to establish a dual-connection secondary cell for the target user equipment.

In an embodiment of the present invention, the other related information includes: the number of online users, the success rate of initiating double connection establishment to the measured adjacent cell base station by the serving cell; the raster data corresponding to each raster comprises: the measured RSRP value of the adjacent cell measures the online user number of the adjacent cell, and the success rate of the target cell initiating the establishment of double connection to the base station of the adjacent cell where the measured adjacent cell is located; the dual connectivity secondary cell selection strategy comprises: selecting indexes and weights corresponding to the indexes; the selection index includes: at least one of the RSRP value of the adjacent cell in a preset first threshold range, the number of online users of the adjacent cell in a preset second threshold range, and the success rate of the target cell initiating double connection establishment to the adjacent cell base station where the adjacent cell is located in a preset third threshold range;

the processing module 45 is specifically configured to:

and sorting the adjacent cells in the first grid according to the grid data corresponding to the first grid and a double-connection auxiliary cell selection strategy, and selecting one or more previously sorted adjacent cells as target adjacent cells of double connection.

In an embodiment of the present invention, the target service is a co-frequency neighbor cell optimization; the preset rule corresponding to the target service is as follows: the pilot adjacent cell of the first RSRP signal strength and the pilot adjacent cell of the second RSRP signal strength;

further comprising:

a sending module, configured to send a measurement configuration indication message to a user equipment within a coverage area of the target cell in a preset statistics period, where the measurement configuration indication message indicates the user equipment to measure the target cell and all neighboring cells of the target cell according to the measurement configuration indication message;

a receiving module, configured to receive a measurement report reported by the user equipment, where the measurement report includes RSRP values of the target cell and RSRP values corresponding to all neighboring cells respectively;

the selection module is specifically configured to:

selecting the two adjacent cells meeting a preset rule corresponding to the target service for the target cell according to the RSRP information of all the adjacent cells;

in an embodiment of the present invention, the data module 44 is specifically configured to:

and according to the measurement reports corresponding to the pilot adjacent cells with the first RSRP signal strength and the pilot adjacent cells with the second RSRP signal strength, which are obtained in the preset counting period, counting the raster data of the raster in the raster dividing information, and establishing the fingerprint data.

In an embodiment of the present invention, the raster data includes: frequency point information of the same-frequency adjacent cells, identifications of the same-frequency adjacent cells and RSRP values of the same-frequency adjacent cells;

the processing module 45 is specifically configured to:

counting second times of pairing appearance of the same-frequency adjacent cell pairs formed by every two same-frequency adjacent cells in the fingerprint data for the same-frequency adjacent cells with the first times corresponding to the same-frequency adjacent cells exceeding a preset first time threshold;

and determining the co-frequency adjacent cells with lower RSRP signal intensity and/or the co-frequency adjacent cells with higher RSRP signal intensity in the co-frequency adjacent cell pairs with the second times exceeding the preset second time threshold value, and performing optimization processing on the co-frequency adjacent cells according to the co-frequency adjacent cell optimization principle.

In an embodiment of the present invention, the co-frequency neighbor cells are preferably based on the following principle: deleting the same-frequency adjacent cells with lower RSRP signal intensity and/or adding adjacent cell relations to the same-frequency adjacent cells with higher RSRP signal intensity.

according to the fingerprint data, constructing a grid bit diagram of the same-frequency adjacent cells, wherein each column in the grid bit diagram represents one same-frequency adjacent cell in the fingerprint data, and each line corresponds to one grid record;

and counting the first times of the same-frequency adjacent cells in the fingerprint data according to the grid bit diagram.

The service processing device provided by the embodiment of the invention utilizes different combinations of RSRP values of a target cell and two adjacent cells to perform grid division on the coverage area of the target cell to form grid division information so as to rasterize the coverage area of the target cell, then fingerprint data are established for grids in the grid division information, and a target service is processed according to the fingerprint data, compared with the grid division of the cell in the prior art, the embodiment of the invention utilizes the RSRP to perform grid division on the cell and establish the fingerprint data for the grids, so that the target service can be processed according to the fingerprint data in the follow-up process, the reference function of the RSRP on the target service is considered, the service data of different user equipment in the grids can be mutually referred and cooperated, the target service is guided, the network quality and the user experience are improved, and service processing judgment can be made according to the existing fingerprint data of the grids, and some steps in the service processing are reduced, thereby reducing the service processing time.

Corresponding to the method and apparatus for processing a service provided in the embodiment of the present invention, the embodiment of the present invention provides a network device, and referring to fig. 5, the network device includes a processor 510, a transceiver 520, a memory 530, and a bus interface. Wherein:

in this embodiment of the present invention, the network device 500 further includes: a computer program stored in the memory 530 and capable of running on the processor 510, where the computer program, when executed by the processor 510, implements each process in the methods shown in fig. 1 to 3, and can achieve the same technical effect, and is not described herein again to avoid repetition.

In FIG. 5, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 510, and various circuits, represented by memory 530, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 520 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium.

The processor 510 is responsible for managing the bus architecture and general processing, and the memory 530 may store data used by the processor 510 in performing operations.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the processes of the method embodiments, and can achieve the same technical effects, and in order to avoid repetition, the details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A method for processing a service, comprising:

establishing fingerprint data for grids in the grid division information;

and processing the target service according to the fingerprint data.

2. The method of claim 1, wherein the target service is: establishing a dual-connection auxiliary cell for target user equipment; the preset rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold value, the switching success rate with the target cell meets a preset success rate threshold value, the RSRP value is an inter-frequency adjacent cell of the target cell, and the two adjacent cells are inter-frequency adjacent cells;

establishing fingerprint data for the grids in the grid division information, wherein the fingerprint data comprises the following steps:

3. The method of claim 2, wherein processing the target traffic based on the fingerprint data comprises:

4. The method of claim 3, wherein the other related information comprises: the number of online users, the success rate of initiating double connection establishment to the measured adjacent cell base station by the serving cell; the raster data corresponding to each raster comprises: the measured RSRP value of the adjacent cell measures the online user number of the adjacent cell, and the success rate of the target cell initiating the establishment of double connection to the base station of the adjacent cell where the measured adjacent cell is located; the dual connectivity secondary cell selection strategy comprises: selecting indexes and weights corresponding to the indexes; the selection index includes: at least one of the RSRP value of the adjacent cell in a preset first threshold range, the number of online users of the adjacent cell in a preset second threshold range, and the success rate of the target cell initiating double connection establishment to the adjacent cell base station where the adjacent cell is located in a preset third threshold range;

the selecting a target neighbor cell for dual connectivity according to the fingerprint data corresponding to the first grid and a dual connectivity secondary cell selection policy includes:

5. The method of claim 1, wherein the target service is co-frequency neighbor cell optimization; the preset rule corresponding to the target service is as follows: the pilot adjacent cell of the first RSRP signal strength and the pilot adjacent cell of the second RSRP signal strength;

before the selecting two neighboring cells meeting the predetermined rule corresponding to the target service for the target cell, the method further includes:

within a preset statistical period, issuing a measurement configuration indication message to user equipment within the coverage of the target cell, wherein the measurement configuration indication message indicates the user equipment to measure the target cell and all neighboring cells of the target cell according to the measurement configuration indication message;

receiving a measurement report reported by the user equipment, wherein the measurement report comprises RSRP values of the target cell and RSRP values corresponding to all the adjacent cells respectively;

the selecting two neighbor cells satisfying a predetermined rule corresponding to the target service for the target cell includes:

and selecting the two adjacent cells meeting the preset rule corresponding to the target service for the target cell according to the RSRP information of all the adjacent cells.

6. The method of claim 5, wherein for a trellis in the trellis diagram information, creating fingerprint data comprises:

7. The method of claim 5, wherein processing the target traffic based on the fingerprint data comprises:

8. The method of claim 7, wherein the raster data comprises: frequency point information of the same-frequency adjacent cells, identifications of the same-frequency adjacent cells and RSRP values of the same-frequency adjacent cells;

the determining the same-frequency adjacent cell relation to be optimized according to the fingerprint data and the same-frequency adjacent cell optimization principle includes:

9. The method of claim 8, wherein the co-frequency neighbor cell preference criteria is: deleting the same-frequency adjacent cells with lower RSRP signal intensity and/or adding adjacent cell relations to the same-frequency adjacent cells with higher RSRP signal intensity.

10. The method of claim 8, wherein the counting the first occurrence of each co-frequency neighbor cell in the fingerprint data according to the fingerprint data comprises:

11. A traffic processing apparatus, comprising:

12. The apparatus of claim 11, wherein the target service is: establishing a dual-connection auxiliary cell for target user equipment; the preset rule corresponding to the target service is as follows: the RSRP value of the central area meets a preset RSRP threshold value, the switching success rate with the target cell meets a preset success rate threshold value, the RSRP value is an inter-frequency adjacent cell of the target cell, and the two adjacent cells are inter-frequency adjacent cells;

the data module is specifically configured to:

13. The apparatus of claim 12, wherein the processing module is specifically configured to:

14. The apparatus of claim 13, wherein the other related information comprises: the number of online users, the success rate of initiating double connection establishment to the measured adjacent cell base station by the serving cell; the raster data corresponding to each raster comprises: the measured RSRP value of the adjacent cell measures the online user number of the adjacent cell, and the success rate of the target cell initiating the establishment of double connection to the base station of the adjacent cell where the measured adjacent cell is located; the dual connectivity secondary cell selection strategy comprises: selecting indexes and weights corresponding to the indexes; the selection index includes: at least one of the RSRP value of the adjacent cell in a preset first threshold range, the number of online users of the adjacent cell in a preset second threshold range, and the success rate of the target cell initiating double connection establishment to the adjacent cell base station where the adjacent cell is located in a preset third threshold range;

the processing module is specifically configured to:

15. The apparatus of claim 11, wherein the target service is co-frequency neighbor cell optimization; the preset rule corresponding to the target service is as follows: the pilot adjacent cell of the first RSRP signal strength and the pilot adjacent cell of the second RSRP signal strength;

further comprising:

the selection module is specifically configured to:

16. The apparatus of claim 15, wherein the data module is specifically configured to:

17. The apparatus of claim 15, wherein the processing module is specifically configured to:

18. The apparatus of claim 17, wherein the raster data comprises: frequency point information of the same-frequency adjacent cells, identifications of the same-frequency adjacent cells and RSRP values of the same-frequency adjacent cells;

the processing module is specifically configured to:

19. The apparatus of claim 18, wherein the co-frequency neighbor cell preference criteria is: deleting the same-frequency adjacent cells with lower RSRP signal intensity and/or adding adjacent cell relations to the same-frequency adjacent cells with higher RSRP signal intensity.

20. The apparatus of claim 18, wherein the processing module is specifically configured to:

21. A network device comprising a memory, a processor and a computer program running on the memory and on the processor, the computer program, when executed by the processor, implementing the method of any one of claims 1 to 10.

22. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method according to any one of claims 1 to 10.