CN114885368A

CN114885368A - Method, device and network equipment for optimizing neighbor cell configuration

Info

Publication number: CN114885368A
Application number: CN202210540246.2A
Authority: CN
Inventors: 赵怀民
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2022-05-18
Filing date: 2022-05-18
Publication date: 2022-08-09

Abstract

The embodiment of the invention provides a method, a device and network equipment for optimizing neighboring cell configuration, wherein the method comprises the following steps: obtaining measurement results of a plurality of terminal devices in a cell to be optimized in a first preset time period, wherein the measurement results comprise at least one of a measurement report and a call history record; determining a missing-configuration adjacent cell of the cell to be optimized according to the network topological relation and the measurement result; and selecting at least one cell from the missed neighbor cells, and configuring the cell into a target neighbor cell list to obtain an updated target neighbor cell list, wherein the target neighbor cell list comprises the neighbor cells configured in the cell to be optimized. Therefore, in the embodiment of the present invention, even if the terminal device unit supports the ANR capability, the addition of the missed neighbor cell can be implemented, so as to improve the handover performance and reduce the probability of the call drop phenomenon.

Description

Method, device and network equipment for optimizing neighbor cell configuration

Technical Field

The present invention relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, and a network device for optimizing neighboring cell configuration.

Background

A terminal device of the fifth Generation mobile communication technology (5th-Generation, 5G) may continuously perform cell handover during a moving process, and at this time, handover configuration needs to be performed on a source cell and a neighboring cell, so as to ensure user experience.

Currently, in the 3GPP protocol, when a terminal device moves to a cell boundary, a better neighbor cell is selected to initiate handover according to signal measurement, so as to maintain link performance. However, if the source cell does not allocate the candidate neighbor to the neighbor relation table, handover cannot be initiated. The current Automatic measurement configuration of the neighboring Cell requires that a terminal device supports an Automatic neighbor Relation optimization (ANR) capability, and performs measurement and reporting of a Cell Global Identity (CGI), so that a base station adds a missing neighboring Cell. Therefore, if the terminal device does not support the ANR capability, the CGI measurement report cannot be performed, and the base station cannot acquire the information of the missed neighbor cell and add the information.

In the initial development stage of the 5G network, most terminal devices do not support the ANR capability, which may result in that the neighboring cell addition cannot be triggered by obtaining the neighboring cell CGI, thereby affecting the handover performance and even causing the terminal device to generate a call drop in the source cell.

Therefore, in the prior art, for a terminal device that does not support ANR capability, addition of a missed neighbor cell cannot be performed by obtaining a neighbor cell CGI, so that handover performance is affected and even a call drop phenomenon occurs.

Disclosure of Invention

The embodiment of the invention provides a method, a device and a network device for optimizing neighboring cell configuration, and aims to solve the problem that in the prior art, a terminal device which does not support ANR (automatic neighbor relation) capability cannot add a missed-configuration neighboring cell by obtaining a CGI (common gateway interface) of the neighboring cell, so that switching performance is affected and even a call drop phenomenon occurs.

In a first aspect, an embodiment of the present invention provides a method for optimizing neighboring cell configuration, where the method includes:

obtaining measurement results of a plurality of terminal devices in a cell to be optimized in a first preset time period, wherein the measurement results comprise at least one of a measurement report and a call history record;

determining a missing-configuration adjacent cell of the cell to be optimized according to the network topological relation and the measurement result;

and selecting at least one cell from the missed neighbor cells, and configuring the cell into a target neighbor cell list to obtain an updated target neighbor cell list, wherein the target neighbor cell list comprises the neighbor cells configured in the cell to be optimized.

In a second aspect, an embodiment of the present invention provides an apparatus for optimizing neighboring cell configuration, where the apparatus includes:

the information acquisition module is used for acquiring measurement results of cells to be optimized in a first preset time period by a plurality of terminal devices, wherein the measurement results comprise at least one of measurement reports and call history records;

a missed neighbor cell determining module, configured to determine a missed neighbor cell of the cell to be optimized according to the network topology relationship and the measurement result;

and the first optimization module is used for selecting at least one cell from the missed neighbor cells and configuring the cell into a target neighbor cell list to obtain an updated target neighbor cell list, wherein the target neighbor cell list comprises the neighbor cells configured in the cell to be optimized.

In a third aspect, an embodiment of the present invention provides a network device, including a memory, a transceiver, a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor, configured to read a computer program in the memory and execute the neighbor cell configuration optimization method according to the first aspect.

In a fourth aspect, an embodiment of the present invention provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, where the computer program is configured to enable the processor to execute the neighbor cell configuration optimization method according to the first aspect.

In the embodiment of the present invention, measurement results of a plurality of terminal devices in a cell to be optimized in a first preset time period can be obtained, where the measurement results include at least one of a measurement report and a call history record, so as to determine a missed neighbor cell of the cell to be optimized according to a topological relation and the measurement results, and thus select at least one cell from the missed neighbor cells to configure in a target neighbor cell list, so as to obtain an updated target neighbor cell list, where the target neighbor cell list includes neighbor cells configured for the cell to be optimized. Therefore, in the embodiment of the present invention, a missed neighbor of the cell to be optimized can be determined by synthesizing a network topology relationship and multiple factors, i.e., a measurement report and/or a call history of the terminal device, so as to optimize the currently configured neighbor list of the cell to be optimized, and thus, even if the terminal device supports an ANR capability, the addition of the missed neighbor can be realized, thereby improving handover performance and reducing the probability of a call drop phenomenon.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced 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 these drawings without inventive labor.

Fig. 1 is a flowchart of a method for optimizing neighboring cell configuration according to an embodiment of the present invention

Fig. 2 is a schematic diagram of a terminal device reporting a frequency point and a PCI of an unknown neighboring cell in an embodiment of the present invention;

FIG. 3 is a schematic diagram of a missed neighbor cell and a redundant neighbor cell identified in the embodiment of the present invention;

fig. 4 is a block diagram of a neighboring cell configuration optimization 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 term "and/or" in the embodiments of the present invention describes an association relationship of associated objects, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.

The embodiment of the application provides a neighbor cell configuration optimization method and device, and aims to solve the problem that in the prior art, when a UPF network element bearing a service is in a device level, a fault UPF configuration can only be manually deleted, so that service interruption time is long.

The method and the device are based on the same application concept, and because the principles of solving the problems of the method and the device are similar, the implementation of the device and the method can be mutually referred, and repeated parts are not repeated.

Fig. 1 shows a flowchart of a method for optimizing neighboring cell configuration according to an embodiment of the present invention, where as shown in fig. 1, the method may include the following steps:

step 101: and obtaining the measurement results of the cells to be optimized in a first preset time period by the plurality of terminal devices.

Wherein the measurement result includes at least one of a measurement report and a call history.

The cell to be optimized is one of at least one predetermined cell. For example, it is predetermined that a neighbor cell list of a cell within a certain area may be optimized, and the cell to be optimized may be one of the cells within the area.

In addition, the first preset time period may be a time period of one cycle of a first preset cycle, that is, the measurement results of the plurality of terminal devices in the cell to be optimized may be obtained according to the first preset cycle.

In addition, the Measurement Report (MR) refers to data sent by reporting information to the base station at regular intervals (for example, 480ms) on the traffic channel, and the data can be used for network evaluation and optimization. The MR may include signal qualities of six neighboring cells with the strongest cell (i.e., serving cell) to which the terminal device is connected.

The Call History Record (CHR) is used to Record key History information of a Call, including terminal characteristic information, Call setup characteristic information, Quality of Service (QoS) related information, Call process behavior information, and Call release related information of the Call. Therefore, the CHR includes signal qualities of a plurality of cells of the primary serving cell measured when the terminal device initiates a call.

Step 102: and determining the missing-configuration neighbor cell of the cell to be optimized according to the network topology relation and the measurement result.

The network topology relationship is a topology relationship between cells in a network, and the topology relationship may include topological factors such as a distance between cells, a direction angle, and the like.

In addition, the missed neighbor cell meets the requirement of the neighbor cell list (i.e. the target neighbor cell list) added to the cell to be optimized, but is not configured to the cell in the list. If the missed neighbor cells are added to the target neighbor cell list, the terminal device in the cell to be optimized can obtain better switching performance and experience.

In addition, in the embodiment of the invention, the missed-matching neighbor cell of the cell to be optimized is determined by synthesizing the network topology relationship and the measurement report and/or the call history of the terminal equipment, so that the determination of the missed-matching neighbor cell is more accurate, and the neighbor cell optimization effect of the cell to be optimized is improved.

Step 103: and selecting at least one cell from the missed neighbor cells, and configuring the cell into a target neighbor cell list to obtain an updated target neighbor cell list.

And the target neighbor cell list comprises the neighbor cells configured by the cell to be optimized.

In addition, the target neighbor Cell list is used as a basis for Cell switching of a Cell to be optimized, and the terminal device performs Cell switching, and needs to know the CGI of the target Cell to be switched, so that when at least one Cell is selected from the missed neighbor cells and configured in the target neighbor Cell list, the frequency point, the Physical Cell Identifier (PCI) and the CGI of the selected Cell need to be configured in the target neighbor Cell list, so that when the terminal device performs Cell switching, which neighbor cells are specifically included in the target neighbor Cell list can be determined.

As can be seen from the foregoing steps 101 to 103, in the embodiment of the present invention, the measurement result of the cell to be optimized in the first preset time period by the multiple terminal devices can be obtained, where the measurement result includes at least one of a measurement report and a call history record, so as to determine, according to the topological relation and the measurement result, the missed neighbor cell of the cell to be optimized, and thus select at least one cell from the missed neighbor cells to configure in the target neighbor cell list, so as to obtain an updated target neighbor cell list, where the target neighbor cell list includes the neighbor cells configured for the cell to be optimized. Therefore, in the embodiment of the present invention, a missed neighbor of the cell to be optimized can be determined by synthesizing a network topology relationship and multiple factors, i.e., a measurement report and/or a call history of the terminal device, so as to optimize the currently configured neighbor list of the cell to be optimized, and thus, even if the terminal device supports an ANR capability, the addition of the missed neighbor can be realized, thereby improving handover performance and reducing the probability of a call drop phenomenon.

Optionally, the measurement report includes frequency points, physical cell identifiers, and signal qualities of a plurality of neighboring cells of the cell to be optimized, and the call history record includes frequency points, physical cell identifiers, and signal qualities of a plurality of neighboring cells of the cell to be optimized;

the determining the missing-configuration neighbor cell of the cell to be optimized according to the network topology relation and the measurement result includes:

determining a frequency point of a first cell and a global cell identification code corresponding to a physical cell identifier according to the network topology relationship, wherein the first cell comprises a neighboring cell in the measurement result;

selecting a second cell which is not in the target neighbor cell list from the first cell according to the global cell identification code;

and selecting the cell of which the signal quality in the measurement result meets a first preset condition from the second cell, and determining the selected cell as the missing-matched neighbor cell of the cell to be optimized.

When the terminal equipment is accessed into the network and moves to the cell boundary, if the signal of the neighboring cell is obviously stronger than that of the current service cell, the switching to the strongest neighboring cell is the optimal selection. However, if the optimal neighboring cell does not exist in the neighboring cell relationship table with the serving cell, and the terminal device does not support the ANR function, the CGI of the neighboring cell may not be known by the terminal device, and therefore, the terminal device reports the frequency point and the PCI of the unknown neighboring cell through a measurement report and/or a call history (for example, the CGIs of the cell B and the cell C shown in fig. 2 are unknown, and the terminal device may report the frequency point and the PCI of the cell B and the cell C), thereby determining the CGI corresponding to the frequency point and the PCI based on the network topology relationship, and further finding the missing neighboring cell according to the CGI of the cell (for example, shown in fig. 3).

It should be noted that the signal quality in the measurement report and the call history record is the signal quality at different times; moreover, the measurement report and the call history are respectively reported by a plurality of terminal devices, and in the first preset time period, the same terminal device may also report a plurality of measurement reports and call history, so that the same cell may have a plurality of signal qualities in the measurement report, and the first preset condition may include that an average value of all signal qualities in the measurement report of the same cell is greater than a fourth preset threshold, and an average value of all signal strengths in the call history of the same cell is greater than the fourth preset threshold; or the first preset condition may also include: in the measurement report, the ratio of the first signal quality of the same cell greater than the fourth preset threshold is greater than the preset value, and in the call history record, the ratio of the second signal quality of the same cell greater than the fourth preset threshold is greater than the preset value.

The network topology relationship includes topological factors such as a distance between cells and a direction angle, and therefore, the frequency point of the first cell and the CGI corresponding to the PCI may be determined according to the network topology relationship. For example, as shown in fig. 2, if the cell to be optimized is a serving cell a, the measurement result reported by the terminal device includes the frequency point and the PCI of the cell B, but the CGI of the cell B is unknown, the frequency point and the CGI corresponding to the PCI of the cell B may be determined according to the network topology relationship. If the cell B is not configured in the target neighbor cell list and the signal quality in the measurement result meets the first preset condition, it indicates that the cell is a missed neighbor cell of the serving cell a, and it is marked as the missed neighbor cell B.

As can be seen from the above, in the embodiment of the present invention, according to a network topology relationship, CGIs corresponding to a frequency point and a PCI reported by a terminal device may be determined, then, according to the CGIs, a second cell that does not exist in a target neighbor cell list in cells reported by the terminal device may be determined, and then, cells whose signal quality in a measurement result meets a first preset condition are screened from the second cell, and then, these selected cells are missed neighbor cells of a cell to be optimized.

In addition, when the frequency point of the first cell and the CGI corresponding to the PCI are determined according to the network topology information relationship, the working parameter information of the cell may also be introduced.

Optionally, before selecting at least one cell from the missed neighbor cell and configuring the cell to the target neighbor cell list, the method further includes:

and eliminating the cells which have the corresponding relation with the cell to be optimized in a predetermined blacklist neighbor cell list from the missed neighbor cells.

In some special scenarios, when it is desired that the neighbor cell relationship between some cell pairs cannot be increased, the blacklist neighbor cell list may be defined. Namely, the blacklisted neighbor list includes neighbor relations that are not allowed to be added. Therefore, after the neighbor cell missing of the cell to be optimized is determined, if the blacklist neighbor cell list exists, the neighbor cell missing can be further screened, so that cells corresponding to the cell to be optimized in the blacklist neighbor cell list are prevented from being added to the target neighbor cell list.

It can be understood that, if a certain cell exists in the target neighbor cell list (i.e., the list of neighbor cells currently configured by the cell to be optimized) in the cells (which may be referred to as blacklist cells of the cell to be optimized) in the blacklist neighbor cell list that have a corresponding relationship with the cell to be optimized, the blacklist cell in the target neighbor cell list may also be forcibly deleted.

and eliminating the cells with the distance to the cell to be optimized being larger than a first preset threshold value from the missed neighbor cells.

And determining the distance between the cell to be optimized and the missed neighbor cell according to the network topology relation.

In addition, the cells with the distance between the missed neighbor cells and the cell to be optimized being larger than the first preset threshold value are removed, so that when the cell to be configured to the target neighbor cell list is selected from the remaining missed neighbor cells, the accuracy of the cell configured to the target neighbor cell list can be further improved, the optimization degree of the neighbor cells is further improved, the switching performance is further improved, and the probability of call drop is reduced.

Optionally, before selecting at least one cell from the missed neighbor cell and configuring the cell to a target neighbor cell list, the method further includes:

removing small probability switching cells from the missed neighbor cells;

the cell with the small probability switching is a cell meeting a second preset condition, wherein the second preset condition comprises the number of times of missed distribution in the first preset time period, and the number of times of missed distribution is smaller than the product of the sum of the number of times of missed distribution of all the cells in the first preset time period and a preset ratio.

When the terminal device moves to the edge of a cell to perform handover, the terminal device performs measurement reporting, that is, reporting a measurement report (including frequency points and PCIs of a plurality of neighboring cells of a primary service cell) for cell handover, and if the base station detects that the frequency point and the PCI of a certain neighboring cell in the measurement report for cell handover are not in a current neighboring cell relation list of the primary service cell, recording the primary missing configuration of the cell represented by the frequency point and the PCI.

In addition, the number of missed connections is less than the product of the sum of the number of missed connections of all the missed connections cells within the first preset time and a preset ratio, which means that the overlapping coverage area of the cell and the source cell is small and the importance is low, so that the cell probability switching cell (i.e. the cell with low importance) in the missed connections cell is eliminated, the cell with high importance can be configured into a target neighbor list, the optimization degree of the neighbor is further improved, the switching performance is further improved, and the probability of call drop is reduced.

Optionally, the selecting at least one cell from the missed neighbor cells, and configuring the cell into a target neighbor cell list includes:

selecting a cell with a physical cell identifier different from that of the target neighbor cell list from the missed neighbor cells to serve as a first candidate neighbor cell;

determining a first target number of the neighbor cells to be configured according to the cell number in the target neighbor cell list, the number of the first candidate neighbor cells and the predetermined maximum neighbor cell number of the cell to be optimized, wherein the neighbor cells to be configured are the cells which need to be configured to the target neighbor cell list;

selecting the first target number of the neighbor cells to be configured from the first candidate cells;

and configuring the selected neighbor cell to be configured to the target neighbor cell list.

In the embodiment of the present invention, when a Cell to be configured in a target neighbor list is selected from a missed neighbor, a Cell different from an existing PCI in the target neighbor list is first selected from the missed neighbor as a first candidate neighbor, and then a Cell to be configured in the target neighbor list (i.e., a neighbor to be configured) is selected from the first candidate neighbor.

In addition, the cell to be optimized has the maximum number of the neighboring cells, so the number of the neighboring cells to be configured cannot exceed the maximum number of the neighboring cells, and therefore, the first target number of the neighboring cells to be configured can be determined according to the maximum number of the neighboring cells, the number of the existing first candidate neighboring cells and the existing number of the neighboring cells in the target neighboring cell list.

Optionally, the determining, according to the number of cells in the target neighbor cell list, the number of the first candidate neighbor cells, and the predetermined maximum neighbor cell number of the cell to be optimized, the first target number of the neighbor cells to be configured includes:

calculating the difference between the maximum adjacent cell number and the cell number in the target adjacent cell list to be used as a target parameter;

and determining the smaller of the target parameter and the number of the first candidate neighbor cells as the first target number.

That is, in the embodiment of the present invention, when the target parameter is smaller than the number of the first candidate neighbor cells, the first target number is the target parameter; and when the target parameter is greater than or equal to the number of the first candidate neighbor cells, the first target number is the number of the first candidate neighbor cells.

Optionally, when the first target number is the target parameter, the selecting the neighboring cell to be configured with the first target number from the first candidate cell includes:

and selecting the first target number of the neighbor cells to be configured from the first candidate cells according to a predetermined white list neighbor cell list, the distance between the first candidate cell and the cell to be optimized, the number of times of missing configuration of the first candidate cell, and the direction angle between the first candidate cell and the cell to be optimized.

In some special scenarios, when an operator desires that the neighbor cell relationship between some cell pairs is increased by the highest priority, the white-list neighbor cell list may be defined. Namely, the white list neighbor list includes: the neighbor relation with the highest priority. Therefore, when selecting the neighbor cell to be configured from the first candidate cell, the white list neighbor cell list may be checked, that is, if there is a corresponding relationship between a certain first candidate cell and the cell to be optimized in the white list neighbor cell list, the first candidate cell belongs to the cell with the highest priority added to the target neighbor cell list.

In addition, in the embodiment of the present invention, when selecting a neighbor cell to be configured from a first candidate cell, in addition to considering a white list neighbor cell list, a distance between the first candidate cell and a cell to be optimized, a number of times of missed configuration of the first candidate cell, and a direction angle between the first candidate cell and the cell to be optimized are also considered, so that a cell that needs to be added to a target neighbor cell list more can be selected, thereby improving an optimization degree of the neighbor cell, further improving handover performance, and reducing a probability of a call drop phenomenon.

Optionally, selecting the neighboring cells to be configured with the first target number from the first candidate cells according to a predetermined white list neighboring cell list, a distance between the first candidate cell and the cell to be optimized, the number of times of missed configuration of the first candidate cell, and a direction angle between the first candidate cell and the cell to be optimized, includes:

selecting a second candidate neighbor cell which has a corresponding relation with the cell to be optimized in the white list neighbor cell list from the first candidate neighbor cell;

under the condition that the number of the second candidate neighbor cells is smaller than the first target number, selecting a third candidate neighbor cell with a second target number from cells except the second candidate neighbor cell in the first candidate neighbor cells according to the number of times of missing configuration of the first candidate cell, the distance between the first candidate cell and the cell to be optimized and the direction angle between the first candidate cell and the cell to be optimized, and determining the second candidate neighbor cell and the third candidate neighbor cell as the neighbor cells to be configured, wherein the second target number is the difference between the first target number and the second candidate neighbor cell;

under the condition that the number of the second candidate neighbor cells is larger than the first target number, selecting the neighbor cells to be configured with the first target number from the second candidate neighbor cells according to the number of times of missing configuration of the first candidate cell, the distance between the first candidate cell and the cell to be optimized and the direction angle between the first candidate cell and the cell to be optimized;

and determining the second candidate neighbor cell as the neighbor cell to be configured under the condition that the number of the second candidate neighbor cells is equal to the first target number.

When N cells (for example, N is the aforementioned second target number or the first target number) are selected from the multiple cells according to the number of missed connections, the distance from the cell to be optimized, and the direction angle between the first candidate cell and the cell to be optimized, the multiple cells may be sorted in the order from large number of missed connections to small number of missed connections to obtain a first sort, and then, based on the first sort, the cells with the same number of missed connections are sorted in the order from small number to large number of distances from the cell to be optimized to obtain a second sort; thirdly, selecting a cell with a direction angle opposite to that of the cell to be optimized from the second sequence; and thirdly, according to the ranking of the selected cells in the second ranking, selecting the cells with the first N bits from the selected cells.

The two cells having opposite directional angles mean that the directional angles of the two cells have their openings facing each other. For example, the directional angle of cell E is opposite to the directional angle of cell F, i.e., the directional angle of cell E opens toward cell F, and the directional angle of cell F opens toward cell E.

As can be seen from the above, in the embodiment of the present invention, if the number of the selected second candidate neighboring cells is equal to the first target number, the second candidate neighboring cell is the neighboring cell to be configured; if the number of the selected second candidate neighbor cells is larger than the first target number, selecting the neighbor cells to be configured with the first target number from the second candidate neighbor cells; if the number of the selected second candidate neighbor cells is smaller than the first target number, which indicates that the number of cells in the white list neighbor cell list corresponding to the cell to be optimized in the first candidate neighbor cell is insufficient, the remaining number of cells (i.e., the second target number) need to be selected from the cells in the first candidate neighbor cell except the second candidate neighbor cell (i.e., the cells in the white list neighbor cell list not corresponding to the cell to be optimized in the first candidate neighbor cell).

Optionally, the method further includes:

acquiring a cell pair in a second preset time period, wherein the cell pair comprises the cell to be optimized and a target cell switched by terminal equipment when the cell to be optimized is used as a source cell;

selecting a redundant adjacent cell of the cell to be optimized from the target cells in the cell pairs according to the distance between the target cell in the cell pairs and the cell to be optimized and the switching times of each cell pair in the second preset time period;

and deleting the redundant neighbor cell from the target neighbor cell list to obtain an updated target neighbor cell list.

It should be noted that the redundant neighboring cell is a cell that does not meet the requirement of the neighboring cell list (i.e., the target neighboring cell list) added to the cell to be optimized but still exists in the list.

The second preset time period may be a time period of one cycle of a second preset cycle, that is, the cell pair may be obtained according to the second preset cycle.

In addition, for example, when switching from cell a to cell B, cell a and cell B count one cell pair, that is, one cell pair includes the source cell and the target cell. In the embodiment of the present invention, a redundant neighboring cell of the cell to be optimized needs to be selected from the cell pair, so that the source cell in the cell pair is the cell to be optimized.

In addition, which cell the terminal device switches to is decided by the base station, and therefore, the switching times of the cell pairs in the second preset time period can be acquired from the base station. Or, the number of times of handover of the cell pair in the second preset time period may also be determined according to the call history record in the second preset time period.

As can be seen from the above, in the embodiment of the present invention, the cell pair to be optimized may also be collected as the source cell, so as to determine the redundant neighboring cell (for example, as shown in fig. 3) of the cell to be optimized according to the distance between the target cell and the cell to be optimized in the cell pair and the switching frequency of each cell pair in the second preset time period, thereby deleting the redundant neighboring cell in the target neighboring cell list, so that the target neighboring cell list of the cell to be optimized is more matched with the actual network condition, further improving the switching performance, and reducing the probability of the call drop phenomenon.

Optionally, the selecting a redundant neighboring cell of the cell to be optimized from the target cell in the cell pair according to the distance between the target cell in the cell pair and the cell to be optimized and the number of times of handover of each cell pair in the second preset time period includes:

selecting a target cell pair with the switching times smaller than a second preset threshold value;

and selecting a cell with the distance to the cell to be optimized larger than a third preset threshold value from the target cells in the target cell pair to serve as the redundant adjacent cell.

That is, in the embodiment of the present invention, in the target cell of the cell pair, the cell whose switching frequency is less than the second preset threshold and whose distance from the cell to be optimized is greater than the third preset threshold belongs to the redundant neighboring cell of the cell to be optimized.

In addition, in a certain situation, if some base stations may be removed, cells corresponding to the removed base stations do not exist, but the cells may still exist in a neighbor cell list of a certain cell, and such cells may be referred to as invalid neighbor cells.

Optionally, in the embodiment of the present invention, it may also be checked whether key parameters (e.g., frequency point, PCI, and CGI) in the target neighbor cell list are consistent with the real configuration, and if not, the key parameters are corrected.

Optionally, after obtaining the updated target neighboring cell, the method further includes:

and sending the updated target neighbor cell list to a base station to which the cell to be optimized belongs.

After sending the updated target neighbor cell list to the base station to which the cell to be optimized belongs, the base station may configure the terminal device so that the terminal device may perform cell switching according to the updated target neighbor cell list.

Optionally, after the updated target neighboring cell list is sent to the base station to which the cell to be optimized belongs, the method further includes:

acquiring a service index of the cell to be optimized in a third preset time period in which the cell to be optimized is configured as the updated target neighbor cell list;

and displaying indication information whether to continuously optimize the neighbor cell list of the cell to be optimized according to the service index.

The service index may include cell switching success rate, telephone traffic and other indexes.

In addition, for example, when the cell switching success rate is less than the preset success rate, or the call drop rate is less than the preset call drop rate, or the telephone traffic is less than the preset telephone traffic, indicating that the updated target neighbor cell list reduces the switching performance on the contrary, in this case, the indication information for stopping optimizing the neighbor cell list of the cell to be optimized can be displayed, so that the relevant network manager can manually restore to the target neighbor cell list before updating to optimize the neighbor cell list of the cell to be optimized again; when the cell switching success rate is greater than or equal to the preset success rate, the call drop rate is greater than or equal to the preset call drop rate, and the telephone traffic is greater than or equal to the preset telephone traffic, it indicates that the updated target neighbor cell list improves the switching performance, and in this case, the indication information for continuously optimizing the neighbor cell list of the cell to be optimized can be displayed.

Therefore, in the embodiment of the present invention, the optimization effect evaluation index (i.e. the aforementioned quality of service) may be subscribed and monitored manually, so that the network operation status, whether the assistant decision needs to continue the optimization, and whether the assistant decision needs to go back may be grasped.

In summary, the neighbor cell configuration optimization method according to the embodiment of the present invention may be applied to a network device, and the specific implementation manner thereof may be as follows:

step H1, the network device starts neighbor optimization based on the missing distribution measurement: after the network device selects the optimization function of the missed neighbor cell, the network device starts to optimize the missed neighbor cell (i.e. starts to execute the following steps H2-H6);

step H2, the network device collects a measurement report and a call history record of the terminal devices in each cell to be optimized according to a first preset period, wherein the measurement report and the call history record are obtained from the base station, the measurement report comprises a plurality of adjacent cell frequency points, PCI and signal quality of the cell to be optimized, and the call record comprises the frequency points, PCI and signal quality of the adjacent cells of the cell to be optimized;

step H3, when each first preset period is reached, the network equipment screens the neighbor cells of the cell to be optimized according to the network topology relation, the measurement report and the call history record;

the network device determines a frequency point of a first cell (i.e., adjacent cells in a measurement report and a call history record) and a CGI corresponding to a PCI according to a network topology relationship, so that a second cell which is not in a target adjacent cell list (i.e., an adjacent cell list configured for a cell to be optimized) is selected from the first cell according to the CGI of the first cell, an average value of signal quality in the measurement report and an average value of signal quality in the call history record are selected from the second cell, the average values of signal quality are all greater than a fourth preset threshold, and the selected cell is determined as a missing-configured adjacent cell of the cell to be optimized; then, the network equipment eliminates the cells which have the corresponding relation with the cell to be optimized in a predetermined blacklist neighbor cell list from the missing neighbor cells; thirdly, the network equipment eliminates the cell with the distance to the cell to be optimized larger than a first preset threshold value from the missing-configuration neighbor cell; and thirdly, the network equipment eliminates the cell switched by the small probability from the missed neighbor cell.

The cell switching with the small probability is a cell meeting a second preset condition, wherein the second preset condition comprises the number of times of missed distribution in a first preset time period, and the number of times of missed distribution is smaller than the product of the sum of the number of times of missed distribution of all the cells in the first preset time period and a preset ratio.

Step H4, after the network device obtains the neighbor cells of the cell to be optimized, selecting the neighbor cells to be configured in the target neighbor cell list from the neighbor cells to be configured;

the network equipment selects a cell different from the PCI in the target neighbor cell list from the missed neighbor cells to serve as a first candidate neighbor cell; calculating the difference between the maximum adjacent cell number of the predetermined cell to be optimized and the cell number in the target adjacent cell list to be used as a target parameter, and determining the first target number of the adjacent cell to be configured according to the smaller of the target parameter and the number of the first candidate adjacent cells; then, according to a predetermined white list neighbor cell list, a distance between the first candidate cell and the cell to be optimized, the number of times of missed configuration of the first candidate cell, and a direction angle between the first candidate cell and the cell to be optimized, a first target number of neighbor cells to be configured are selected from the first candidate cell (for a specific selection method, see the foregoing, details are not described here).

Step H5, the network device configures the neighbor cell to be configured selected in step H4 into a target neighbor cell list to obtain an updated target neighbor cell list;

and step H6, the network equipment sends the updated target neighbor cell list to the base station to which the cell to be optimized belongs.

Step H7, the network device starts the redundant neighbor optimization: for example, a redundant neighboring cell optimization from a Long Term Evolution (LTE) network to a New Radio (NR) network or from the NR network to the NR network may be selected, and then, the network device starts performing the redundant neighboring cell optimization (i.e., starts to perform the subsequent steps H8 to H11);

step H8, the network device collects the cell pairs and the switching times of the cell pairs as the source cell according to a second preset period, wherein, one cell pair comprises the cell to be optimized and the target cell for cell switching when the cell to be optimized is used as the source cell;

step H9, when each second preset period arrives, the network device selects the redundant adjacent cell of the cell to be optimized from the target cells in the cell pair according to the distance between the target cell and the cell to be optimized in the cell pair and the switching times of each cell pair in the current period;

that is, the network device determines the cell whose switching times are less than the second preset threshold and whose distance from the cell to be optimized is greater than the third preset threshold, as the redundant neighboring cell of the cell to be optimized.

Step H10, the network device deletes the redundant neighboring cell from the target neighboring cell list, and obtains an updated target neighboring cell list.

And step H11, the network equipment sends the updated target neighbor cell list to the base station to which the cell to be optimized belongs.

After the step H6 or H11, the ue may subscribe to optimization evaluation indicators (cell handover success rate, call drop rate, traffic volume, etc.) and manually monitor the indicators, so as to grasp network operation conditions, assist in making decisions as to whether to continue optimization, and assist in making decisions as to whether to need fallback.

As can be seen from the above description, in the embodiment of the present invention, the frequency point and the PCI of the unknown neighboring cell are reported by the terminal device that does not support ANR, and the frequency point + the PCI are matched as the CGI of the neighboring cell based on the working parameter information, the configuration information, and the gateway topology relation (i.e., the network topology factors such as the azimuth angle and the distance) of the serving cell and the unknown neighboring cell, so that the missed neighboring cell and the redundant neighboring cell are comprehensively analyzed and judged based on the CGI and in combination with the network topology relation, the measurement report, the call history record, the missed-matching times, the black-and-white list, the switching times, and other factors, thereby implementing the optimization of the neighboring cell.

At the initial development stage of a 5G network, more than 90% of terminal equipment does not support ANR (automatic neighbor discovery protocol), so that neighbor cell addition cannot be triggered by acquiring a neighbor cell CGI (common gateway interface), and switching performance is affected even the terminal equipment generates call drop in a source cell; meanwhile, the network is built at a high speed, a large number of redundant adjacent cell relations appear after the actual adjacent cells of the stock site are changed, if optimization processing is not carried out, the switching performance is also influenced, and meanwhile, the consumption of network resources is increased.

The embodiment of the invention can solve the problem that the UE can not trigger the addition of the neighboring cell by acquiring the CGI of the neighboring cell when the terminal equipment does not support the ANR function in the initial development stage of the 5G network, thereby affecting the switching performance and even causing the call drop of the UE in the source cell.

That is, the neighbor configuration optimization method according to the embodiment of the present invention does not depend on the ANR function supported by the terminal device, performs centralized processing by combining the network topology relation, the handover probability, and other factors through the reporting of unknown neighbor information in the non-neighbor relation table (that is, the measurement report and the call history), and comprehensively provides the judgment of the missed neighbor, and implements automatic addition of the missed neighbor and deletion of the redundant cell through the network device, thereby optimizing the network structure, thereby ensuring the mobility of the user and effectively improving the accuracy of neighbor configuration.

The method for optimizing the neighboring cell configuration according to the embodiment of the present invention is described above, and the apparatus for optimizing the neighboring cell configuration according to the embodiment of the present invention is described below with reference to the accompanying drawings.

Referring to fig. 4, an embodiment of the present invention further provides an apparatus for optimizing neighboring cell configuration, where the apparatus includes:

an information obtaining module 401, configured to obtain measurement results of a cell to be optimized in a first preset time period, where the measurement results include at least one of a measurement report and a call history record;

a missed neighbor cell determining module 402, configured to determine a missed neighbor cell of the cell to be optimized according to the network topology relationship and the measurement result;

a first optimizing module 403, configured to select at least one cell from the missed neighbor cells, configure the cell to a target neighbor cell list, and obtain an updated target neighbor cell list, where the target neighbor cell list includes a neighbor cell configured by the cell to be optimized.

the missed neighbor determination module 402 includes:

a mapping submodule, configured to determine, according to the network topology relationship, a global cell identity corresponding to a frequency point of a first cell and a physical cell identity, where the first cell includes a neighboring cell in the measurement result;

a first selection submodule, configured to select, according to the global cell identity, a second cell that is not in the target neighbor cell list from the first cell;

and the second selection submodule is used for selecting the cell of which the signal quality in the measurement result meets a first preset condition from the second cell and determining the selected cell as the missing-matched neighbor cell of the cell to be optimized.

Optionally, the apparatus further comprises:

and the first removing module is used for removing the cells which have the corresponding relation with the cell to be optimized in a predetermined blacklist neighbor cell list from the missing neighbor cells.

Optionally, the apparatus further comprises:

and the second eliminating module is used for eliminating the cell with the distance to the cell to be optimized being larger than a first preset threshold value from the missed neighbor cell.

Optionally, the apparatus further comprises:

a third rejecting module, configured to reject a small probability handover cell from the missed neighbor cell;

Optionally, the first optimization module 403 includes:

a third selecting submodule, configured to select, from the missed neighbor cells, a cell different from the physical cell identifier in the target neighbor cell list as a first candidate neighbor cell;

a quantity determining submodule, configured to determine a first target quantity of the neighboring cell to be configured according to the quantity of the cells in the target neighboring cell list, the quantity of the first candidate neighboring cells, and a predetermined maximum neighboring cell quantity of the cell to be optimized, where the neighboring cell to be configured is a cell that needs to be configured in the target neighboring cell list;

a fourth selection submodule, configured to select the neighboring cells to be configured in the first target number from the first candidate cell;

and the configuration submodule is used for configuring the selected neighbor cell to be configured into the target neighbor cell list.

Optionally, the number determination submodule is specifically configured to:

Optionally, when the first target number is the target parameter, the fourth selection submodule is specifically configured to:

Optionally, the fourth selecting sub-module selects the neighboring cells to be configured in the first target number from the first candidate cell according to a predetermined white list neighboring cell list, a distance between the first candidate cell and the cell to be optimized, a number of times of missed configuration of the first candidate cell, and a direction angle between the first candidate cell and the cell to be optimized, and is specifically configured to:

Optionally, the apparatus further comprises:

a cell pair obtaining module, configured to obtain a cell pair within a second preset time period, where the cell pair includes the cell to be optimized and a target cell to which the terminal device is switched when the cell to be optimized is used as a source cell;

a redundant cell determining module, configured to select a redundant neighboring cell of the cell to be optimized from the target cell of the cell pair according to a distance between the target cell of the cell pair and the cell to be optimized and the number of times of handover of each cell pair in the second preset time period;

and the second optimization module is used for deleting the redundant neighbor cell from the target neighbor cell list to obtain an updated target neighbor cell list.

Optionally, the redundant cell determining module is specifically configured to:

Optionally, the apparatus further comprises:

and the sending module is used for sending the updated target neighbor cell list to the base station to which the cell to be optimized belongs.

Optionally, the apparatus further comprises:

an index obtaining module, configured to obtain a service index of the cell to be optimized within a third preset time period in which the cell to be optimized is configured as the updated target neighbor cell list;

and the prompting module is used for displaying indication information whether to continuously optimize the neighbor cell list of the cell to be optimized according to the service index.

It should be noted that, in the embodiment of the present application, the division of the unit is schematic, and is only one logic function division, and when the actual implementation is realized, another division manner may be provided. In addition, functional units in the embodiments of the present application 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 can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

Embodiments of the present invention also provide a network device, as shown in fig. 5, including a memory 520, a transceiver 510, a processor 500;

a memory 520 for storing a computer program;

a transceiver 510 for receiving and transmitting data under the control of the processor 500;

the processor 500 is configured to read the computer program in the memory 520 and execute the neighbor cell configuration optimization method described above.

Wherein in fig. 5, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 500, and various circuits, represented by memory 520, 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 510 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 including wireless channels, wired channels, fiber optic cables, and the like. The processor 500 is responsible for managing the bus architecture and general processing, and the memory 520 may store data used by the processor 500 in performing operations.

The processor 500 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or a Complex Programmable Logic Device (CPLD), and the processor 500 may also have a multi-core architecture.

An embodiment of the present invention further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, and the computer program is configured to enable the processor to execute the neighbor cell configuration optimization method described above.

The processor-readable storage medium can be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for optimizing neighbor cell configuration, the method comprising:

obtaining measurement results of a plurality of terminal devices in a cell to be optimized in a first preset time period, wherein the measurement results comprise at least one of measurement reports and call history records;

2. The method of claim 1, wherein the measurement report includes frequency points, physical cell identifiers, and signal qualities of a plurality of neighboring cells of the cell to be optimized, and the call history record includes frequency points, physical cell identifiers, and signal qualities of a plurality of neighboring cells of the cell to be optimized;

3. The method of claim 1, wherein before the selecting at least one cell from the missed neighbor cell to configure in a target neighbor list, the method further comprises:

and eliminating the cells which have the corresponding relation with the cell to be optimized in a predetermined blacklist neighbor cell list from the missing neighbor cells.

4. The method of claim 1, wherein before the selecting at least one cell from the missed neighbor cell to configure in a target neighbor list, the method further comprises:

5. The method of claim 1, wherein before the selecting at least one cell from the missed neighbor cell to configure in a target neighbor list, the method further comprises:

removing small probability switching cells from the missed neighbor cells;

6. The method of claim 1, wherein the selecting at least one cell from the missed neighbor cell to configure to a target neighbor list comprises:

7. The method of claim 6, wherein the determining a first target number of the neighbor cells to be configured according to the number of the cells in the target neighbor cell list, the number of the first candidate neighbor cells, and a predetermined maximum neighbor cell number of the cell to be optimized comprises:

8. The method of claim 7, wherein the selecting the first target number of the neighbor cells to be configured from the first candidate cell if the first target number is the target parameter comprises:

9. The method of claim 8, wherein selecting the first target number of the neighbor cells to be configured from the first candidate cell according to a predetermined white-list neighbor cell list, a distance between the first candidate cell and the cell to be optimized, a number of times of missed configuration of the first candidate cell, and a direction angle between the first candidate cell and the cell to be optimized comprises:

10. The method of claim 1, further comprising:

11. The method of claim 10, wherein the selecting a redundant neighboring cell of the cell to be optimized from the target cells in the cell pairs according to the distance between the target cell in the cell pairs and the cell to be optimized and the number of handovers of each cell pair in the second preset time period comprises:

12. The method according to claim 1 or 10, wherein after obtaining the updated target neighbor cell, the method further comprises:

13. The method of claim 12, wherein after the sending the updated target neighbor list to the base station to which the cell to be optimized belongs, the method further comprises:

14. An apparatus for optimizing neighbor cell configuration, the apparatus comprising:

15. A network device comprising a memory, a transceiver, a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and executing the neighbor configuration optimization method of any of claims 1 to 13.

16. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to perform the neighbor configuration optimization method of any of claims 1 to 13.