WO2016065869A1

WO2016065869A1 - Method and apparatus for determining misconfigured neighbour cell

Info

Publication number: WO2016065869A1
Application number: PCT/CN2015/077127
Authority: WO
Inventors: 孙凯文; 苏梦; 何冬梅
Original assignee: 中兴通讯股份有限公司
Priority date: 2014-10-27
Filing date: 2015-04-21
Publication date: 2016-05-06
Also published as: CN105636095A

Abstract

Provided are a method and apparatus for determining a misconfigured neighbour cell. The method comprises: extracting corresponding key information from information corresponding to an abnormal event; calculating a CFN difference value between a cell in which the abnormal event occurs and a serving cell according to the key information; performing matching in pre-set cell CFN difference value records according to matching information, wherein the matching information at least comprises: the CFN difference value and identification information about the serving cell; and in the case where a record is matched in the cell CFN difference value records, determining that the cell in which the abnormal event occurs is a misconfigured neighbour cell of the serving cell. By using the above method, the problem that misjudgement exists in the determination method for a misconfigured neighbour cell in the related art is solved to a certain extent, and relatively accurate positioning of the misconfigured neighbour cell is realized.

Description

Method and device for determining missing matching neighborhood

Technical field

The present invention relates to the field of communications, and in particular to a method and apparatus for determining a missing neighboring cell.

Background technique

In a Wideband Code Division Multiple Access (WCDMA) wireless communication network system, if there is a physical (ie, actual) overlap (or crossover) coverage area between two cells, usually In this case, the inter-area relationship needs to be matched; if the neighboring cell relationship is not configured between the activated cell and the inactive cell (ie, the neighboring cell is missed), when the mobile phone is in the service state, the pilot of the remaining set is continuously searched, if the remaining The pilot set meets the strength threshold and does not cause pilot pollution. The mobile phone reports it to the Radio Network Controller (RNC) to match the pilot in the adjacent set of the mobile phone, but since the remaining pilot is not in the mobile phone The neighboring cells are concentrated, so that the pilot cannot be identified, and the handover cannot be triggered, which is likely to cause dropped calls.

Generally, the network planning engineer or the network optimization engineer solves the problem of the neighboring area mismatching problem by adding the above-mentioned inactive cell to the neighboring cell relationship of the active cell. Therefore, the accurate positioning of the missing neighboring area is the key point to solve the problem.

When the call drop occurs due to the neighboring missed allocation problem, the network optimization engineer can locate and analyze the problem by backtracking the signaling before the call drop. Usually, the mobile phone will report the detection set information within a short period of time before the call drop (for example, 10 seconds), and the scrambling code information of the missed cell is included in the detection set information. However, there is a scrambling code multiplexing in the WCDMA wireless communication network system, that is, a plurality of cells having the same scrambling code exist in the entire network, so only the scrambling code information of the missed cell can be used to uniquely determine the true missed cell.

Traditionally, under the premise of acquiring the mismatched cell scrambling code information, the fuzzy determination of the missed cell is often performed by a screening method that is close to the serving cell. For example, in the same scrambling code cell set that is suspected to be mismatched in the neighboring cell, the cell that is closest to the current serving cell is selected as the missed cell, and the method of locating the neighboring cell has a high false positive rate because In many cases, the real missing neighboring cell may not be the same cell as the scrambling code cell that is closest to the current serving cell.

In view of the misjudgment of the method for determining the missing neighboring cells in the related art, an effective solution has not been proposed yet.

Summary of the invention

The embodiment of the invention provides a method and a device for determining a missing neighboring cell, so as to solve the problem that the determining method of the missing neighboring cell in the related art has a misjudgment at least to some extent.

According to an embodiment of the present invention, a method for determining a missing neighboring cell includes: extracting corresponding key information from information corresponding to an abnormal event; and calculating a cell and a service in which the abnormal event occurs according to the key information. The CFN difference value of the cell is matched according to the matching information in the preset CFN difference record of the cell, where the matching information includes at least: the CFN difference value and the identification information of the serving cell; In the case that the CFN difference record matches the record, the cell that determines the occurrence of the abnormal event is the missed neighbor of the serving cell.

The key information includes: off and tm values of cells in which the abnormal event occurs.

Calculating a CFN difference between the cell in which the abnormal event occurs and the serving cell according to the key information includes: calculating the CFN difference using the following formula:

The CFN difference value=[(off2+tm2/38400)-(off1+tm1/38400)+256] mod256, where off2 and tm2 are the off and tm values of the cell in which the abnormal event occurs, and off1 and tm1 are Off and tm values of the serving cell.

The matching information further includes: a scrambling code of the serving cell and a scrambling code of a cell in which the abnormal event occurs.

Determining that the cell in which the abnormal event occurs is the missing neighboring cell of the serving cell includes: checking whether the abnormal event is configured in the current active set cell when the record is matched from the cell CFN difference record If the cell in which the abnormal event occurs is not configured, it is determined that the cell in which the abnormal event occurs is a missing neighboring cell of the serving cell.

Extracting the key information from the information corresponding to the abnormal event includes: searching for a predetermined length of time at a time point when the abnormal event occurs, and extracting the measured report from the measurement report if the reported measurement report is found Key Information.

The abnormal event is a service drop, and the measurement report is an intra-frequency 1A measurement report.

According to another embodiment of the present invention, there is provided an apparatus for determining a missing neighboring cell, comprising: an extracting module configured to extract corresponding key information from information corresponding to an abnormal event; and a calculating module configured to be based on the key The information is calculated by the CFN difference between the cell and the serving cell in which the abnormal event occurs; the matching module is configured to perform matching in the preset CFN difference record according to the matching information, where the matching information at least includes: The CFN difference value and the identification information of the serving cell; the determining module, when the record is matched from the cell CFN difference record, is set to determine that the cell in which the abnormal event occurs is the serving cell Missing the neighboring area.

The calculation module is configured to calculate the CFN difference using the following formula:

The determining module includes: an checking unit, configured to check whether a cell in which the abnormal event occurs is configured in a current active set cell if a record is matched from the cell CFN difference record; determining unit, in the checking unit If it is checked that the cell in which the abnormal event occurs is not configured, the cell set to determine that the abnormal event occurs is the missing neighboring cell of the serving cell.

The extraction module includes: a search unit configured to search forward a predetermined time length at a time point when the abnormal event occurs; and an extracting unit configured to extract from the measurement report if the search unit finds the reported measurement report The key information.

According to the embodiment of the present invention, the corresponding key information is extracted from the information corresponding to the abnormal event; the CFN difference between the cell in which the abnormal event occurs and the serving cell is calculated according to the key information; and the pre-set cell CFN is determined according to the matching information. Performing matching in the difference record, where the matching information includes at least: the CFN difference value and the identification information of the serving cell; in the case of matching the record from the cell CFN difference record, determining the occurrence The method for the abnormal event is the leakage of the neighboring cell of the serving cell, and to some extent, the problem that the determining method of the missing neighboring cell in the related art is misjudged is solved, and the missing matching neighboring zone is more accurate. Positioning.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the invention, and are intended to be a part of the invention. In the drawing:

1 is a flow chart of a method of determining a missing neighboring cell according to an embodiment of the present invention;

2 is a structural block diagram of an apparatus for determining a missing neighboring cell according to an embodiment of the present invention;

Figure 3 is a schematic view showing the connection mode of the system embodying the present invention;

4 is a flowchart of an optional service process for determining a method of locating a neighboring cell according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of calculating a cell CFN difference matrix according to an embodiment of the present invention; FIG.

FIG. 6 is a schematic diagram of a neighboring area miss distribution geographic display effect according to an embodiment of the present invention; FIG.

7 is a flow chart of an alternative method of determining a missing neighboring cell in accordance with an embodiment of the present invention.

detailed description

It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict. The invention will be described in detail below with reference to the drawings in conjunction with the embodiments.

The steps illustrated in the flowchart of the figures may be performed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, may differ from this The steps shown are performed in the order shown or described.

This embodiment provides a method for determining a missing neighboring cell. FIG. 1 is a flowchart of a method for determining a missing neighboring cell according to an embodiment of the present invention. As shown in FIG. 1, the process includes the following steps:

Step S102, extracting corresponding key information from information corresponding to the abnormal event;

Step S104, calculating, according to the key information, a CFN difference between the cell in which the abnormal event occurs and the serving cell;

Step S106: Perform matching in the preset CFN difference record according to the matching information, where the matching information includes at least: a CFN difference value and identifier information of the serving cell;

Step S108: In the case that the record is matched from the cell CFN difference record, it is determined that the cell in which the abnormal event occurs is the missed neighboring cell of the serving cell.

Through the above steps, the matching is performed in the preset cell CFN (Connect Frame Number) difference record according to the matching information, and in the case that the record is matched in the cell CFN difference record, the cell in which the abnormal event occurs is determined as The method of missing the neighboring cell of the serving cell can solve the problem of misjudgment of the determining method of the missing neighboring cell in the related technology to a certain extent, and achieves a more accurate positioning of the missing neighboring cell.

In an optional implementation manner of this embodiment, the key information in step S102 may be an off and tm value of a cell in which an abnormal event occurs. Wherein, the off value is in units of frames, the range is [0, 1, ..., 255] frames, the tm value is in units of chips, and the range is [0, 1, ..., 38399] chips, so that it can be off The CFN difference is calculated from the tm value.

In an optional embodiment, calculating the CFN difference between the cell in which the abnormal event occurs and the serving cell may use the following formula:

CFN difference = [(off2 + tm2 / 38400) - (off1 + tm1/38400) + 256] mod256, where off2 and tm2 are the off and tm values of the cell in which the abnormal event occurs, and off1 and tm1 are off of the serving cell And tm values.

For example, when off1=10, tm1=15463, off2=30, and tm2=14567, the CFN difference=[(30+14567/38400)-(10+15463/38400)+256] mod256=20.

For another example, when off1=13, tm1=13456, off2=32, and tm2=13444, the CFN difference=[(32+13444/38400)-(13+13456/38400)+256] mod256=19.

Through the above calculation formula, the CFN difference value can be conveniently calculated, so that a relatively accurate search of the missing neighboring area is performed in the preset CFN difference record according to the identification information of the serving cell and the calculated CFN difference value. ,match.

The matching information may also include: the scrambling code of the serving cell, and the matching information may be included in an optional embodiment, only by using the difference between the CFN and the identification information of the serving cell. The scrambling code of the cell in which an abnormal event occurs. For example, the scrambling code of the serving cell may be obtained from the log CDR recorded by the RNC, and the scrambling code of the cell in which the abnormal event occurs may also be obtained in the information corresponding to the abnormal event. Therefore, the scrambling code of the serving cell and the scrambling code of the cell in which the abnormal event occurs, and the CFN difference value and the identification information of the serving cell can be used to search and match the cell in the preset CFN difference record of the cell, and the qualified condition is narrowed. The scope of the cell makes the determination of the missing neighboring cell more accurate.

In the macro-diversity state, due to the relationship between the neighboring areas, the neighboring area that is actually configured may be reported, and the 1A event of the detection set is reported. Therefore, for matching neighbors, further check and filtering needs to be performed in the configuration data. In the above-mentioned eligible cells, how to determine the mismatched neighboring cell is more accurately performed. In an optional embodiment, the current active set cell may be checked in the case that the cell CFN difference record matches the record. Whether a cell with an abnormal event is configured is implemented. If the cell in which the abnormal event occurs is not configured, it is determined that the cell in which the abnormal event occurs is the missed neighboring cell of the serving cell. Therefore, the accurate determination of the missing neighboring area is realized, and the misjudgment of the missing matching neighboring area is reduced to a certain extent, which facilitates the analysis and improvement of the network optimization engineer for the neighboring area missing allocation.

Obtaining information corresponding to the occurrence of an abnormal event has various implementation manners. In an optional embodiment of the present invention, information corresponding to the occurrence of the abnormal event may be obtained by searching for a predetermined duration at a time point when the abnormal event occurs. In the case of finding the reported measurement report, the measurement report is the information corresponding to the abnormal event that occurred. The key information is extracted from the measurement report, and the key information may include the tm1 and off1 values of the cell in which the abnormal event occurs, so that the CFN difference value may be calculated according to tm1 and off1 and tm2 and off2 of the serving cell. By adopting the above method, the information corresponding to the abnormal event can be obtained relatively simply and quickly, and the key information is extracted from the information, so as to match the missing neighboring area.

There are many cases of abnormal events, such as wireless network interruption, short message transmission failure, etc., which usually have different measurement reports corresponding to different abnormal events. In an optional embodiment of the present invention, the abnormal event is a service drop call. The measurement report is the same frequency 1A measurement report.

There is also provided a device in the embodiment, which corresponds to the method in the above embodiment, and has not been described herein. The module or unit in the device may be code stored in the memory and executable by the processor, and the memory and the processor may be located in the server, but the device is not limited thereto, and the device may be implemented in other manners. Let's take another example.

2 is a structural block diagram of an apparatus for determining a missing neighboring cell according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes: an extracting module 22 configured to extract corresponding key information from information corresponding to an abnormal event; The module 24 is configured to calculate a CFN difference between the cell and the serving cell in which the abnormal event occurs according to the key information. The matching module 26 is configured to perform matching in the preset CFN difference record according to the matching information, where the matching information includes at least The CFN difference and the identification information of the serving cell; the determining module 28, when the record is matched in the cell CFN difference record, is set to determine that the cell in which the abnormal event occurs is the missed neighboring cell of the serving cell.

Through the above modules, the matching module 26 performs matching in the preset cell CFN difference record according to the matching information, and in the case that the record is matched in the cell CFN difference record, the determining module 28 determines the cell in which the abnormal event occurs. For the method of missing the neighboring cell of the serving cell, the problem that the determining method of the missing neighboring cell in the related technology is misjudged can be solved to some extent, and the accurate positioning of the missing neighboring cell area is realized.

In an optional implementation manner of this embodiment, the key information in the extraction module 22 may be the off and tm values of the cell in which the abnormal event occurs. Wherein, the off value is in units of frames, the range is [0, 1, ..., 255] frames, the tm value is in units of chips, and the range is [0, 1, ..., 38399] chips, so that it can be off The CFN difference is calculated from the tm value.

In an optional embodiment, the calculation module 24 calculates the CFN difference between the cell in which the abnormal event occurs and the serving cell, and the following formula can be used:

For example, when off1=10, tm1=15463, off2=30, tm2=14567, the calculation module 24 can obtain the CFN difference=[(30+14567/38400)-(10+15463/38400)+256] mod256= 20.

For another example, when off1=13, tm1=13456, off2=32, tm2=13444, the calculation module 24 can obtain the CFN difference=[(32+13444/38400)-(13+13456/38400)+256] mod256 =19.

By using the calculation module 24, the CFN difference value can be calculated more conveniently, so that the mismatched neighboring area is searched in the preset CFN difference record according to the identification information of the serving cell and the calculated CFN difference value. match.

The matching information may also include: the scrambling code of the serving cell, and the matching information may be included in an optional embodiment, only by using the difference between the CFN and the identification information of the serving cell. The scrambling code of the cell in which an abnormal event occurs. For example, the scrambling code of the serving cell may be obtained from the log CDR recorded by the RNC, and the scrambling code of the cell in which the abnormal event occurs may also be obtained in the information corresponding to the abnormal event. Therefore, the scrambling code of the serving cell and the scrambling code of the cell in which the abnormal event occurs, and the CFN difference value and the identification information of the serving cell can be used to search and match the cell in the preset CFN difference record of the cell, and the qualified condition is narrowed. The scope of the cell makes the determination of the mismatched neighboring area of the determining module 28 more accurate.

In the macro-diversity state, due to the relationship between the neighboring areas, the neighboring area that is actually configured may be reported, and the 1A event of the detection set is reported. Therefore, for matching neighbors, further check and filtering needs to be performed in the configuration data. From the above eligible cells, determining how the module 28 performs the determination of the missing neighboring cell. In an optional embodiment of the present invention, the determining module 28 includes an inspecting unit and a determining unit that match the difference in the cell CFN record. In the case of a record, the checking unit is set to check whether a cell in which an abnormal event has occurred is configured in the current active set cell. If the checking unit checks that the cell in which the abnormal event has occurred is not configured, the determining unit is set to determine that the cell in which the abnormal event occurs is the missing neighboring cell of the serving cell. Therefore, the determining module 28 realizes the accurate determination of the missing matching neighboring area, and reduces the misjudgment of the missing matching neighboring area to a certain extent, which facilitates the network optimization engineer to analyze and improve the neighboring area missing allocation.

The extracting module 22 extracts the key information from the information corresponding to the abnormal event, and can be implemented in the following manner. In an optional embodiment, the searching unit can search for a predetermined time length at the time when the abnormal event occurs. When the reported measurement report is found (the measurement report is the information corresponding to the abnormal event that occurs), the extracting unit extracts key information from the measurement report, and the key information may include the tm1 and off1 values of the cell in which the abnormal event occurs, thereby The CFN difference can be calculated from tm1 and off1 and the tm2 and off2 of the serving cell. value. By using the search unit and the extracting unit, the information corresponding to the abnormal event can be obtained relatively simply and quickly, and the key information is extracted from the information, so that the missing matching area is matched more accurately.

The following alternative embodiments incorporate an actual WCDMA wireless communication network, which is described below. FIG. 3 is a schematic diagram of a system connection manner for implementing the present invention. As shown in FIG. 3, a user equipment (User Equipment, UE for short) and a Node B (NodeB) are connected by a wireless link (Uu port). The NodeB and the Radio Network Controller (RNC) are telecommunication transmission lines (Iub ports). An Ethernet connection is between the RNC and the acquisition and analysis server. An Ethernet connection is between the collection analysis server and the client.

The UE is configured to report the same-frequency 1A measurement report; the NodeB is configured to receive the same-frequency 1A measurement report; the RNC is configured to record the normal CDR log and the abnormal CDR log of the entire network; and the collection and analysis server is configured to complete the cell CFN difference record. Extract key information, match, and determine missing neighbors.

FIG. 4 is a flowchart of an optional service process for determining a method for locating a neighboring cell according to an embodiment of the present invention. As shown in FIG. 4, the process includes the following steps:

Step S402, the RNC records the log of the entire network bill;

Step S404, the collection analysis server collects the bill data generated by the RNC.

Step S406, the collection and analysis server extracts the CDRs of the normal handover of the entire network, and calculates the CFN difference between the source cell and the target cell.

Step S408, the collection and analysis server calculates a CFN difference matrix of the whole network cell to form a basic data source;

Step S410: The RNC records the abnormal CDR log and signaling of the entire network;

Step S412, the collection and analysis server collects the abnormal bill log and signaling generated by the RNC;

Step S414, the collection and analysis server makes a preliminary judgment on the neighboring area mismatch abnormal event;

Step S416, the collecting and analyzing server extracts key information of the neighboring area missing configuration;

Step S418, the collection and analysis server queries the CFN difference matrix of the whole network cell according to the key information of the neighboring area missed;

Step S420, the collection and analysis server matches the cell ID of the missing neighboring cell;

In step S422, the collection and analysis server filters the result of the missing neighboring cell and outputs the final neighboring missed result.

The key information of the neighboring area in step S416 and step S418 includes the off and tm values of the cell in which the abnormal bill log and signaling occurs, and the scrambling code.

In step S422, the collection and analysis server filters the result of the mismatched neighboring cell, including checking whether the cell in the result of the previous mismatched neighboring cell is configured in each active set cell of the serving cell, and if not configured, the neighboring zone is omitted. .

The collection and analysis server in the above process may be one server or two servers: an acquisition server and an analysis server.

In the above process, from the establishment of the CFN difference matrix of the whole network cell (ie, the cell CFN difference table), to how to determine the missing neighboring cell, the method for determining the missing neighboring cell in the related technology may be solved to some extent. The problem details how to apply the invention to achieve a more accurate positioning of the missing matching neighborhood.

5 is a schematic diagram of calculation of a cell CFN difference matrix according to an embodiment of the present invention. As shown in FIG. 5, a CFN difference between a cell A and a cell B is 20, and a CFN difference between a cell B and a cell C is 15, which can be calculated. The CFN difference between cell A and cell C is 35.

By analogy, the acquisition analysis server can establish a CFN difference matrix of the whole network cell.

Table 1 is a statistics of a neighboring area mismatch table according to an embodiment of the present invention. Table 1 is a cell CTN difference matrix described in the previous embodiment. As shown in Table 1, a statistical table (ie, a neighboring area missing matching table) is presented. The fields include: radio network controller identification information (Src RNCID) of the serving cell, identification information of the serving cell (Src CellID), scrambling code of the serving cell (Src PSC), and radio network controller identification information of the missing neighboring area ( Missed NB RNCID), Missed NB CellID of the Missing Neighbor Area, Missed PSC of the Missing Neighbor Area, Total Count of Missed Calls in the Bill, Total Neighbor of the Cell The number of cells (Ncell Count), the distance between the serving cell and the missing neighboring zone (Distance(m)).

Table 1

The serving cell information includes Src RNCID, Src CellID, and Src PSC, and the missing neighboring cell information includes a Missed NB RNCID, a Missed NB CellID, and a Missed NB PSC.

The collection and analysis server can perform matching of the missing neighboring areas according to the statistical table, and accurately locate the missing neighboring area.

FIG. 6 is a schematic diagram of a neighboring area mismatching geographic display effect according to an embodiment of the present invention. As shown in FIG. 6 , according to an embodiment of the present invention, a currently recorded serving cell (Service Cell, shaded area) can be visually displayed on a map. Indicates), Missed Cell (represented by black area), to achieve accurate positioning of the missing neighboring area.

FIG. 7 is a flowchart of an optional method for determining a missing neighboring cell according to an embodiment of the present invention. As shown in FIG. 7, the process includes the following steps:

Step S702: Searching for the signaling in the 10s (configurable) from the time point of the occurrence of the dropped call of the service, and discovering the same-frequency 1A measurement report reported by the detection set, that is, the call drop is likely to be due to the neighbor. Caused by the problem of missing areas;

Step S704, the off and tm values of the scrambling code corresponding to the 1A event in the intra-frequency measurement report reported by the detection set are taken out; for example, the extracted value (ie, the key information) is:

elem.cellSynchronisationInfo.modeSpecificInfo.u.fdd.countC_SFN_Frame_difference.off=26

elem.cellSynchronisationInfo.modeSpecificInfo.u.fdd.tm=14362

elem.modeSpecificInfo.u.fdd.primaryCPICH_Info.primaryScramblingCode=359

elem.modeSpecificInfo.u.fdd.cpich_Ec_N0=-12.5db

elem.modeSpecificInfo.u.fdd.cpich_RSCP=-102dbm

Step S706, extracting the serving cell and the active set cell information:

Service cell information:

Info.tServeCell.wRncId=352

Info.tServeCell.wCellId=24513

Info.tServeCell.tNewCellParam.wDlPScraCode=96

Info.tServeCell.tNewCellParam.byOff=5

Info.tServeCell.tNewCellParam.wTm=14845

Activate set cell information:

Info.byActiveSetCellNum=3

Info.tActiveSetCellCacInfo[0].wRncId=352

Info.tActiveSetCellCacInfo[0].wCellId=24513

Info.tActiveSetCellCacInfo[0].byOff=5

Info.tActiveSetCellCacInfo[0].wTm=14845

Info.tActiveSetCellCacInfo[1].wRncId=352

Info.tActiveSetCellCacInfo[1].wCellId=8421

Info.tActiveSetCellCacInfo[1].byOff=6

Info.tActiveSetCellCacInfo[1].wTm=20439

Info.tActiveSetCellCacInfo[2].wRncId=352

Info.tActiveSetCellCacInfo[2].wCellId=8706

Info.tActiveSetCellCacInfo[2].byOff=5

Info.tActiveSetCellCacInfo[2].wTm=34048

The data of the above active set cell can be used for reference.

Step S708, using the off and tm values of the set reporting cell in step S704, and the off and tm values of the serving cell obtained in step S706, by using the calculation formula, cell 2 (ie, the cell reporting the 1A measurement report) and the cell 1 ( That is, the CFN difference between the serving cell) = [(0FF2 + Tm2 / 38400) - (0FF1 + Tm1/38400) + 256] mod 256, the CFN between the cell with the scrambling code of 359 and the cell of the scrambling code bit 96 can be obtained. Difference:

CFN difference = [(26 + 14362 / 38400) - (5 + 14845 / 38400) + 256] mod 256 = 21

Step S710, using the serving cell information (RNC ID=352, Cell ID=24513, PSC=96), the missing neighboring area scrambling code information (PSC=359), and the CFN difference between the two cells (CFN difference=21) ), look up in the CFN difference matrix of the whole network cell, and match the following records.

RNC ID 1RNC ID 1	Cell ID 1Cell ID 1	PSC1PSC1	RNC ID2RNC ID2	Cell ID2Cell ID2	PSC2PSC2	CFN差值CFN difference
RNC ID 1RNC ID 1	Cell ID 1Cell ID 1	PSC1PSC1	RNC ID2RNC ID2	Cell ID2Cell ID2	PSC2PSC2	CFN差值CFN difference	352352	2451324513	9696	352352	1143311433	359359	21twenty one

Then, the detection set cell that is uniquely determined to be reported is: RNC ID=352, Cell ID=11433.

In step S712, in the macro-diversity state, due to the relationship of the neighboring region, the neighboring region that is actually configured may be reported, and the 1A event of the detection set is reported. Therefore, for matching neighbors, further check and filtering needs to be performed in the configuration data. In this example, it is necessary to check the current active set cells (352_24513, 352_8421, 352_8706), and whether the neighboring area 352_11433 is configured. In this embodiment, if the neighboring cell is not found in the configuration data, it is determined that the cell 352_11433 is the missing neighboring cell of the serving cell, and is output as a final result.

The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Industrial applicability

As described above, a method and apparatus for determining a missing neighboring cell provided by an embodiment of the present invention have the following beneficial effects: to some extent, the problem of misjudging the method for determining a missing neighboring cell in the related art is solved to achieve a certain degree. A more accurate positioning of the missing neighboring area.

Claims

A method for determining a missing neighboring region, comprising:

Extract corresponding key information from information corresponding to the abnormal event;

Calculating, according to the key information, a CFN difference between the cell in which the abnormal event occurs and the serving cell;

Matching, according to the matching information, in the preset CFN difference record of the cell, where the matching information at least includes: the CFN difference value and the identification information of the serving cell;

In the case that the record is matched from the cell CFN difference record, it is determined that the cell in which the abnormal event occurs is the missed neighbor of the serving cell.
The method of claim 1, wherein the key information comprises off and tm values of cells in which the abnormal event occurs.
The method according to claim 2, wherein calculating a CFN difference between the cell in which the abnormal event occurs and the serving cell according to the key information comprises:

The CFN difference is calculated using the following formula:

The CFN difference value=[(off2+tm2/38400)-(off1+tm1/38400)+256] mod256, where off2 and tm2 are the off and tm values of the cell in which the abnormal event occurs, and off1 and tm1 are Off and tm values of the serving cell.
The method according to claim 2 or 3, wherein the matching information further comprises: a scrambling code of the serving cell and a scrambling code of a cell in which the abnormal event occurs.
The method according to any one of claims 1 to 4, wherein determining that the cell in which the abnormal event occurs is a missing neighboring cell of the serving cell includes:

In the case that the record is matched from the cell CFN difference record, it is checked whether a cell in which the abnormal event occurs is configured in the current active set cell, and if the cell in which the abnormal event occurs is not configured, it is determined that the abnormality occurs. The cell of the event is a missing neighboring cell of the serving cell.
The method according to any one of claims 1 to 4, wherein extracting the key information from the information corresponding to the abnormal event comprises:

The predetermined length of time is searched forward at the time point when the abnormal event occurs, and in the case where the reported measurement report is found, the key information is extracted from the measurement report.
The method of claim 6, wherein the abnormal event is a service drop, and the measurement report is an intra-frequency 1A measurement report.
A device for determining a missing neighboring region, comprising:

Extracting a module, configured to extract corresponding key information from information corresponding to the abnormal event;

a calculating module, configured to calculate, according to the key information, a CFN difference between a cell in which the abnormal event occurs and a serving cell;

The matching module is configured to perform matching in the preset CFN difference record according to the matching information, where the matching information at least includes: the CFN difference value and the identification information of the serving cell;

And a determining module, configured to determine that the cell in which the abnormal event occurs is a missing neighboring cell of the serving cell, in a case that a record is matched from the cell CFN difference record.
The apparatus of claim 8, wherein the key information comprises an off and tm value of a cell in which the abnormal event occurs.
The apparatus according to claim 9, wherein

The calculation module is configured to calculate the CFN difference using the following formula:

The CFN difference value=[(off2+tm2/38400)-(off1+tm1/38400)+256] mod256, where off2 and tm2 are the off and tm values of the cell in which the abnormal event occurs, and off1 and tm1 are Off and tm values of the serving cell.
The apparatus according to claim 9 or 10, wherein the matching information further comprises: a scrambling code of the serving cell and a scrambling code of a cell in which the abnormal event occurs.
The apparatus according to any one of claims 8 to 11, wherein the determining module comprises:

The checking unit is configured to check whether a cell in which the abnormal event occurs is configured in the current active set cell, if the record is matched from the cell CFN difference record;

a determining unit, configured to determine that the cell in which the abnormal event occurs is a missing neighboring cell of the serving cell, if the checking unit detects that the cell in which the abnormal event occurs is not configured.
The apparatus according to any one of claims 8 to 11, wherein the extraction module comprises:

a search unit configured to search forward a predetermined length of time at a point in time when the abnormal event occurs;

The extracting unit is configured to extract the key information from the measurement report if the search unit finds the reported measurement report.
The apparatus of claim 13, wherein the abnormal event is a service drop, and the measurement report is an intra-frequency 1A measurement report.