WO2017211178A1 - Procédé et dispositif de classification de super-cellules - Google Patents

Procédé et dispositif de classification de super-cellules Download PDF

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Publication number
WO2017211178A1
WO2017211178A1 PCT/CN2017/085527 CN2017085527W WO2017211178A1 WO 2017211178 A1 WO2017211178 A1 WO 2017211178A1 CN 2017085527 W CN2017085527 W CN 2017085527W WO 2017211178 A1 WO2017211178 A1 WO 2017211178A1
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cell
cells
analysis system
combination
network analysis
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PCT/CN2017/085527
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English (en)
Chinese (zh)
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王连臣
徐坤
韩治
张立
周康磊
梁小英
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中兴通讯股份有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the present invention relates to the field of communications, and in particular, to a method and apparatus for dividing a super cell.
  • LTE Long Time Evolution
  • the interference in the downlink system occurs in the overlapping coverage area between the LTE cells, and the signals interfere with each other.
  • the neighboring neighboring cells may interfere with the signal of the serving cell in the overlapping area, causing the DL-SINR of the UE to decrease, as shown in Figure 1.
  • the overlapping coverage of cells leads to a schematic diagram of downlink interference.
  • the in-system interference problem can be solved by forming a super cell, that is, through cell merging, the schematic diagram of the super cell construction in the related art in FIG. 2, as shown in FIG. 2, the wireless space gain is achieved by planning the super cell, and the overlapping coverage is achieved.
  • the area is greatly reduced, and the useful serving cell signal is enhanced, the downlink channel interference is reduced, and the fully utilized Resource Block (RB) resource is used.
  • RB Resource Block
  • this method simply combines and combines cells with mutual interference into a super cell, which is low in efficiency for reducing interference in the downlink system.
  • the embodiments of the present invention provide a method and an apparatus for dividing a super cell, so as to at least solve the problem that the related technologies only combine the cells of the mutual correlation interference into a super cell, thereby reducing the low interference efficiency in the downlink system.
  • a method for dividing a super cell the network analysis system determining, according to the plurality of measurement report MR data reported by the user equipment UE, a plurality of location information corresponding to the plurality of MR data and Multiple downlinks corresponding to the plurality of MR data Signal to noise ratio DL-SINR; the network analysis system rasterizes the plurality of MR data according to the plurality of location information to obtain coordinate information of a grid corresponding to the plurality of MR data; the network analysis The system selects a predetermined number of grids consecutively located in the coordinate information from all the grids to be aggregated into a problem area; the network analysis system divides the cells in the problem area that satisfy the preset condition into super cells.
  • the network analysis system selects, from all the grids, a predetermined number of grids consecutively located in the coordinate information to be aggregated into problem regions, and the network analysis system selects a cell from all the grids.
  • a reference signal receiving power RSRP mean value is greater than a first preset threshold
  • a DL-SINR mean value is smaller than a second preset value of the grid
  • the network analysis system acquires multiple location information corresponding to the multiple MR data by: carrying the location information in the MR data; or, the network analysis system passes the UE
  • the location information of the cell is determined by the location information network analysis system for reporting the MR data by the UE; the network analysis system obtains the DL-SINR by using the following formula, where the MR message carries the UE Signal strength RSRP S of the serving cell, signal strength RSRP i of the neighboring cell adjacent to the serving cell;
  • n the number of neighboring cells.
  • the network analysis system the dividing the cell that meets the preset condition in the problem area into a super cell, includes: the network analysis system selects, before the service cell, the number of serving cells of the UE is the most a second predetermined number of cells as a first set of cells, and a first third predetermined number of cells having the highest number of neighboring cells of the UE as a second set of cells; the network analysis system from the first set of cells and the first Selecting a duplicate cell from the set of two cells as a third cell set; the network analysis system performs cell combination by using a single cell in the third cell set; the network analysis system determines the third The gain of each cell combination in the set of cells; the network analysis system divides the gain of each cell combination by The cell combination of the smallest of the values of the number of cells in the respective cell combination divides the super cell.
  • the obtaining, by the network analysis system, the gain of each cell combination in the third cell set includes: determining, by the network analysis system, a DL-SINR of each cell combination in the third cell set by:
  • RSRP S represents the signal strength of the serving cell
  • RSRP i represents the signal strength of the neighboring cell
  • m represents the number of cells in each cell combination in the third cell set
  • n represents the problem area that does not belong to the third cell set. Number of cells;
  • the network analysis system determines the difference between the DL-SINR of each cell combination and the DL-SINR corresponding to the MR data of each cell before being aggregated into the problem area as the gain.
  • the network analysis system divides the super cell by a combination of cells with the smallest ratio and the smallest number of cells.
  • the network analysis system determines each cell.
  • the degree of coupling of the combination the network analysis system divides the cell combination with the smallest degree of coupling into the super cell.
  • the network analysis system determines the degree of coupling by:
  • ⁇ i represents the cell i direction angle and the vector angle of the connection between the two cells
  • ⁇ j represents the cell j direction angle and the vector angle between the two cells
  • Distance represents the cell The distance between i and cell j.
  • an apparatus for dividing a super cell which is applied to a network analysis system, and includes: a determining module, according to multiple measurement reports reported by the user equipment UE
  • the MR data determines a plurality of location information corresponding to the plurality of MR data and a plurality of downlink signal to noise ratios DL-SINR corresponding to the plurality of MR data; and the processing module is configured to set the location according to the plurality of location information Deriving a plurality of MR data rasterization GISs to obtain coordinate information of a grid corresponding to the plurality of MR data; and an aggregation module configured to select a predetermined number of gates consecutively located in the coordinate information from all the grids
  • the cell is aggregated into a problem area; the dividing module is configured to divide the cell in the problem area that meets the preset condition into a super cell.
  • the aggregation module is further configured to select, from all the grids, a grid in which the cell reference signal received power RSRP mean value is greater than a first preset threshold, and the DL-SINR mean value is less than a second preset value, and A predetermined number of grids consecutively positioned in the coordinate information are selected from the selected grids to be aggregated into problem areas.
  • the determining module acquires multiple pieces of location information corresponding to the multiple pieces of MR data by: carrying the location information in the MR data; or determining, by using cell location information of the UE
  • the UE reports the location information of the MR data;
  • the determining module obtains the DL-SINR by using the following formula, where the MR message carries the signal strength RSRP S of the serving cell where the UE is located, and the serving cell Signal strength RSRP i of adjacent neighboring cells;
  • n the number of neighboring cells.
  • the dividing module includes: a first selecting unit, configured to select, from the problem area, a first second predetermined number of cells with the highest number of serving cells of the UE as a first cell set, and the UE a first third predetermined number of cells having the highest number of neighboring cells as a second cell set; and a second selecting unit configured to select a duplicate cell from the first cell set and the second cell set, and as a a combination of cells, configured to perform cell combination in units of a single cell in the third cell set; a first determining unit configured to determine a gain of each cell combination in the third cell set; , set to divide the gain of each cell combination by the smallest of the values of the number of cells in the respective cell combination The super cell is divided.
  • the first determining unit includes: a first determining subunit, configured to determine a DL-SINR of each cell combination in the third cell set by:
  • RSRP S represents the signal strength of the serving cell
  • RSRP i represents the neighboring cell
  • m represents the number of cells in each cell combination in the third cell set
  • n represents that the problem area does not belong to the third cell.
  • the number of cells to be aggregated; the second determining subunit is configured to determine the difference between the DL-SINR of each cell combination minus the DL-SINR corresponding to the MR data of each cell before being aggregated into the problem region as the gain.
  • the dividing module further includes: a second dividing unit, configured to: when the ratio of the gain of each cell combination to the number of cells in the respective cell combination, when there are multiple minimum ratios, the ratio is the smallest and the number of cells is the smallest The cell combination divides the super cell.
  • a second dividing unit configured to: when the ratio of the gain of each cell combination to the number of cells in the respective cell combination, when there are multiple minimum ratios, the ratio is the smallest and the number of cells is the smallest The cell combination divides the super cell.
  • the dividing module further includes: a second determining unit, configured to have a plurality of minimum ratios in a ratio of a gain of each cell combination to a number of cells in a respective cell combination, and a cell in a cell combination with the smallest ratio When there are a plurality of numbers, the degree of coupling of each cell combination is determined; and the third dividing unit is configured to divide the cell combination with the smallest coupling degree into the super cell.
  • a second determining unit configured to have a plurality of minimum ratios in a ratio of a gain of each cell combination to a number of cells in a respective cell combination, and a cell in a cell combination with the smallest ratio
  • the third dividing unit is configured to divide the cell combination with the smallest coupling degree into the super cell.
  • the dividing module further includes: a third determining unit, configured to determine the coupling degree by:
  • ⁇ i represents the cell i direction angle and the vector angle of the connection between the two cells
  • ⁇ j represents the cell j direction angle and the vector angle between the two cells
  • Distance represents the cell The distance between i and cell j.
  • a storage medium is also provided.
  • the storage medium is arranged to store program code for performing the following steps:
  • the network analysis system obtains the location information of the UE and the first downlink signal to noise ratio DL-SINR value according to the reported MR data, and then rasterizes the MR data GIS, and the continuous and average DL- A grid with a SINR value lower than a preset threshold is aggregated into a problem area, and a problem area that satisfies a preset condition is divided into a super cell, and the super cell can effectively reduce downlink interference, thereby solving the problem that only simple mutual interference is solved.
  • the combination of cells into a super cell results in a problem of low interference efficiency in the downlink system.
  • FIG. 1 is a schematic diagram of downlink interference caused by overlapping coverage of a cell in related art
  • FIG. 2 is a schematic diagram of a super cell grouping in related art
  • FIG. 3 is a flowchart of a method for dividing a super cell according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of a raster problem area aggregation according to the embodiment.
  • FIG. 5 is a schematic diagram of a raster problem area aggregation according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of evaluating a super cell formation effect according to an embodiment of the present invention.
  • FIG. 8 is a structural block diagram of an apparatus for dividing a super cell according to an embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of a super cell planning apparatus according to an embodiment of the present invention.
  • FIG. 3 is a flowchart of a method for dividing a super cell according to an embodiment of the present invention. As shown in FIG. 2, the steps of the method include:
  • Step S302 The network analysis system determines a plurality of location information corresponding to the plurality of MR data and multiple downlink signal noises corresponding to the plurality of MR data according to the plurality of measurement report (Measure Report, MR for short) data reported by the user equipment UE.
  • Measure Report MR for short
  • Step S304 The network analysis system rasterizes a plurality of MR data (Geographic Information System, hereinafter referred to as GIS) according to the plurality of location information, and obtains coordinate information of the grid corresponding to the plurality of MR data according to the location information;
  • GIS Geographic Information System
  • Step S306 The network analysis system selects, from all the grids, a predetermined number of grids consecutively located in the coordinate information to be aggregated into a problem area;
  • Step S308 The network analysis system divides the cell in the problem area that meets the preset condition into a super cell.
  • the network analysis system obtains multiple pieces of position information corresponding to the plurality of MR data and a plurality of downlink signal to noise ratio DL-SINR corresponding to the plurality of MR data according to the reported MR data.
  • the problem area is divided into a super cell, and the super cell can effectively reduce the downlink interference, thereby solving the related art that simply combining the cells of the mutual correlation interference into the super cell results in lowering the interference efficiency in the downlink system.
  • a predetermined number of grids consecutively located in the coordinate information are selected from all the grids to be aggregated into problem regions.
  • the network analysis system may be: Selecting, in all the grids, a grid in which the cell reference signal received power RSRP is greater than the first preset threshold, and the DL-SINR mean value is smaller than the second preset value, and selecting a continuous position in the coordinate information from the selected grid A predetermined number of grids are aggregated into problem areas.
  • the network analysis system acquires multiple location information corresponding to multiple MR data by: carrying the location information in the MR data (for example, the UE has a GPS function and according to the GPS After the positioning, the location information is reported; or the network analysis system determines the location information of the MR data reported by the UE by using the location information of the cell where the UE is located;
  • the network analysis system obtains the DL-SINR by using the following formula, where the MR message carries the signal strength RSRP S of the serving cell where the UE is located, and the signal strength RSRP i of the neighboring cell adjacent to the serving cell;
  • n the number of neighboring cells.
  • the DL-SINR represents a technical method for optimizing the pre-downlink signal to noise ratio.
  • the first DL-SINR can be calculated by using the above formula in the specific embodiment of the embodiment, in the embodiment, the DL- The SINR is actually defined as: the serving cell accepts power / (neighbor interference power + noise power), and the above formula is only an alternative implementation of the definition.
  • the MR point position information (ie, latitude and longitude information) is converted into plane coordinates, and the MR point is specifically attributed to the coordinates of the grid (area ID, X offset in the area, Y offset in the area), and X and Y are plane coordinate systems in the figure.
  • the smallest unit is the grid size GridSize (default 100 meters).
  • Each grid has (GridX,GridY) to represent the center as the origin.
  • GridX indicates that the grid is GridX*GridSize from the origin in the east-west direction.
  • the gridY indicates that the grid is in the north-south direction. From the origin GridY*GridSize meters.
  • FIG. 4 is According to the schematic diagram of the raster problem area aggregation according to the embodiment, as shown in FIG. 4, the dotted line fills the origin in the point area ID, and the solid black point is 3 MR points.
  • the aggregation of the preset number and the RSRP mean value is greater than the first preset threshold and the average DL-SINR value is lower than the second preset threshold is a problem.
  • the manner of the area in this embodiment, may be:
  • the average DL-SINR value of the grid is calculated by calculating the average DL-SINR value of the MR point in the grid. Calculate the average value of the received power RSRP of the reference cell of the grid serving cell by calculating the average RSRP value of the MR point in the grid.
  • FIG. 5 is a grid problem area according to an embodiment of the present invention.
  • the aggregation diagram as shown in Figure 5, has multiple problem areas for a service.
  • the values of the first preset threshold and the second preset threshold are examples, and are not limited to the present invention. The values of other thresholds are also within the protection scope of the present invention.
  • the method for dividing the problem area that meets the preset condition into the super cell for the network analysis system involved in step S308 in this embodiment may be:
  • Step S308-1 The network analysis system selects, from the problem area, the first second predetermined number of cells with the largest number of serving cells of the UE as the first cell set, and the first third predetermined number of cells with the highest number of neighboring cells of the UE as the first Two cell collection;
  • Step S308-2 The network analysis system selects a duplicate cell from the first cell set and the second cell set, and serves as a third cell set;
  • the foregoing S308-1 and S308-2 may be: record all the MR points of the region as the set O, and select the point where the DL-SINR of the O is lower than 0, and form the downlink high-interference MR point set.
  • A the average DL-SINR value of the set O is DL-SINR AVG .
  • the first x (x is recommended to be 10) of the number of serving cells in the set A is taken as the first cell set ⁇ TopServerCells ⁇ , and the first y (y recommended as 10) of the strongest neighbors in the set A is taken as the second. Cell collection ⁇ TopNeighbourrCells ⁇ .
  • the cells in the first cell set ⁇ TopServerCells ⁇ and the second cell set ⁇ TopNeighbourrCells ⁇ are grouped into a super cell third cell set ⁇ SuperCellCandidates ⁇ , and ⁇ SuperCellCandidates ⁇ is exemplified as (cell1, cell2, cell3).
  • Step S308-3 The network analysis system performs a combination of cells in units of a single cell in the third cell set;
  • the set is: Collection.
  • M is the number of cells in the set ⁇ SuperCellCandidates ⁇
  • n is the maximum number of allowed super cells; for the C example, ⁇ cell1,cell3 ⁇ , ⁇ cell2,cell3 ⁇ are three optional super combinations.
  • the combination of the ⁇ sets is (A, B), (A, C), (B, C), (A, B, C).
  • Step S308-4 The network analysis system determines a gain of each cell combination in the third cell set
  • the method may be: first, the network analysis system determines the second DL-SINR of each cell combination in the third cell set by:
  • n represents the number of cells in the problem area that do not belong to the third cell set
  • the network analysis system determines the difference between the second DL-SINR minus the first DL-SINR as a gain.
  • m represents the number of cells in each cell combination in the third cell set
  • n represents the number of cells in the problem area that do not belong to the third cell set, that is, the formula indicates that after the super cell is formed, the MR point has m cell signals. Belonging to the super cell, there are n cell signals that do not belong to the super cell, and the noise is selected to be -125dbm.
  • Step S308-5 The network analysis system divides the gain of each cell combination by the cell combination of the minimum value among the values of the number of cells in the respective cell combination to divide the super cell.
  • the network analysis system divides the cell with the smallest ratio and the smallest number of cells into the super cell.
  • the network analysis system determines the coupling degree of each cell combination; The analysis system divides the cell combination with the smallest degree of coupling into a super cell.
  • FIG. 6 is an embodiment according to the present invention. Schematic diagram of the evaluation of the effect of super community formation.
  • FIG. 7 is a calculation diagram of cell coupling degree according to an embodiment of the present invention. As shown in FIG. 7, the network analysis system determines the degree of coupling by:
  • ⁇ i represents the cell i direction angle and the vector angle of the connection between the two cells
  • ⁇ j represents the cell j direction angle and the vector angle between the two cells
  • Distance represents the cell. The distance between i and cell j.
  • the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware, but in many cases, the former is A better implementation.
  • the technical solution of the present invention which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk,
  • the optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods of various embodiments of the present invention.
  • a device for dividing a super cell is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and details are not described herein.
  • the term "module” may implement a combination of software and/or hardware of a predetermined function.
  • the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
  • FIG. 8 is a structural block diagram of a device for dividing a super cell according to an embodiment of the present invention.
  • the device is applied to a network analysis system.
  • the device includes: a determining module 82, configured to perform multiple measurements according to the user equipment UE.
  • the processing module 84 is coupled to the determination module 82 and configured to be based on the plurality of locations
  • the information is rasterized by the plurality of MR data to obtain coordinate information of the grid corresponding to the plurality of MR data
  • the aggregation module 86 is coupled to the processing module 84, and is set to select consecutive positions in the coordinate information from all the grids.
  • the predetermined number of grids are aggregated into a problem area
  • the dividing module 88 is coupled to the aggregation module 86, and is configured to divide the problem area that satisfies the preset condition into a super cell.
  • the aggregation module is further configured to select, from all the grids, that the cell reference signal received power RSRP mean value is greater than a first preset threshold, and the DL-SINR mean value is less than a second preset value.
  • a grid and selecting a predetermined number of grids consecutively in the coordinate information from the selected grid to be aggregated into a problem area.
  • the determining module 82 may obtain the location information of the UE by: the MR data carrying the location information; or determining the location information of the MR data reported by the UE by using the cell location information of the UE;
  • the determining module 82 may obtain the first DL-SINR by using the following formula, where the MR message carries the signal strength RSRP S of the serving cell where the UE is located, and the signal strength RSRP i of the neighboring cell adjacent to the serving cell;
  • the dividing module 88 includes: a first selecting unit, configured to select, from the problem area, a first second predetermined number of cells with the highest number of serving cells of the UE as the first cell set, and the UE has the most neighboring cell times.
  • a first third predetermined number of cells as a second set of cells
  • a second selecting unit configured to select a duplicated cell from the first set of cells and the second set of cells, and as a third set of cells
  • the single cell in the third cell set performs unit combination for the unit
  • the first determining unit is configured to determine a gain of each cell combination in the third cell set
  • the dividing unit is configured to divide the gain of each cell combination by the respective cell combination
  • the cell combination of the smallest of the values of the number of cells in the middle divides the super cell.
  • the first determining unit includes: a first determining subunit, configured to determine a DL-SINR of each cell combination in the third cell set by:
  • RSRP S represents the signal strength of the serving cell
  • RSRP i represents the signal strength of the neighboring cell
  • m represents the number of cells in each cell combination in the third cell set
  • n represents the number of cells in the problem area that do not belong to the third cell set
  • the second determining subunit is configured to determine the difference between the DL-SINR of each cell combination and the DL-SINR corresponding to each cell MR data before being aggregated into the problem area as a gain.
  • the dividing module 88 further includes: a second dividing unit, configured to: in a ratio of a gain of each cell combination to a number of cells in a combination of respective cells, when there are multiple minimum ratios, the cell having the smallest ratio and the smallest number of cells Combine the super cells.
  • the dividing module 88 further includes: a second determining unit, configured to have a plurality of minimum ratios in a ratio of a gain of each cell combination to a number of cells in a respective cell combination, and a number of cells in a cell combination with the smallest ratio When there are multiple times, the degree of coupling of each cell combination is determined; and the third dividing unit is configured to divide the cell combination with the smallest coupling degree into a super cell.
  • the dividing module 88 further includes: a third determining unit, configured to determine the degree of coupling by:
  • ⁇ i represents the cell i direction angle and the vector angle of the connection between the two cells
  • ⁇ j represents the cell j direction angle and the vector angle between the two cells
  • Distance represents the cell The distance between i and cell j.
  • each of the above modules may be implemented by software or hardware.
  • the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the above modules are in any combination.
  • the forms are located in different processors.
  • FIG. 9 is a schematic structural diagram of a super cell planning apparatus according to an embodiment of the present invention.
  • the apparatus starts periodically, analyzes according to the collected road test file and the soft data of the base station side, and feeds back the analysis result to each base station. .
  • the user needs to provide a wireless parameter file, which includes the latitude and longitude information of each cell in the service area, the antenna angle and other antenna parameters, and then is saved by the cell wireless parameter processing module of the device for subsequent latitude and longitude calculation. And the degree of coupling of the cell.
  • the apparatus includes an MR collection module configured to collect a drive test file and a base station side MR file and store the same in a mr_orig table of the database.
  • the MR raster processing module is configured to process the raster information, determine the mr_orig table data, and calculate the location information and the DL-SINR value if there is MR data reported by the base station side. Then, the raster data (area ID, area offset X, area offset Y) is calculated based on the latitude and longitude values, and is obtained in the mr_gird table.
  • the mr_gird table structure and examples are:
  • the table grid_stat table is obtained according to the GridInfo column aggregation, and the result is:
  • the MR raster processing module is configured to perform aggregation processing according to the area information and the problem grid in the grid_stat table to obtain a sliced problem area area_info table.
  • the super cell planning module is set to record the problem areas according to the method of the area_info according to the method of the third part of the previous chapter, and select the best super cell combination for each problem area to obtain the supercell_recommend table.
  • the effect evaluation module is set to display the grid improvement of the problem area before and after the super cell combination is displayed on the GIS.
  • the user can select a suitable super cell according to the super cell recommendation list, and export it into an Excel file to facilitate subsequent application to the wireless system.
  • Embodiments of the present invention also provide a storage medium.
  • the foregoing storage medium may be configured to store program code for performing the following steps:
  • Step S1 The network analysis system determines the location information of the UE and the first downlink signal to noise ratio DL-SINR according to the measurement report MR data reported by the user equipment UE;
  • Step S2 the network analysis system rasterizes the MR data into the GIS and obtains the coordinate information of the rasterized MR data according to the location information;
  • Step S3 The network analysis system aggregates the first DL-SINR by a preset threshold, and aggregates the first predetermined number of grids in the coordinate information into a problem area;
  • Step S4 The network analysis system divides the cell in the problem area that meets the preset condition into a super cell.
  • the foregoing storage medium may include, but not limited to, a USB flash drive, a Read-Only Memory (ROM), a Random Access Memory (RAM), a mobile hard disk, and a magnetic memory.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • a mobile hard disk e.g., a hard disk
  • magnetic memory e.g., a hard disk
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • the network analysis system obtains the location information of the UE and the first downlink signal to noise ratio DL-SINR value according to the reported MR data, and then rasterizes the MR data GIS, and A grid with continuous and average DL-SINR values lower than a preset threshold is aggregated into a problem area, and a problem area that satisfies a preset condition is divided into a super cell, and the super cell can effectively reduce downlink interference, thereby solving the simple problem. Combining the cells of mutually correlated interference into a super cell results in a problem of low interference efficiency in the downlink system.

Abstract

L'invention concerne un procédé et un dispositif de classification de super-cellules. Le procédé consiste : en ce qu'un système d'analyse de réseau détermine, en fonction d'éléments multiples de données de MR transmis par une unité d'équipement d'utilisateur (UE), des éléments multiples d'informations de position et plusieurs DL-SINR correspondant aux éléments multiples de données de MR ; en ce que le système d'analyse de réseau représente les éléments multiples de données de MR dans un GIS en fonction des éléments multiples d'informations de position de manière à obtenir des informations de coordonnées de cellules de tramage correspondant aux éléments multiples de données de MR ; en ce que le système d'analyse de réseau sélectionne, parmi toutes les cellules de tramage, un nombre prédéfini de cellules de tramage dont les positions dans les informations de coordonnées sont continues, et les fusionne dans une zone de problème ; et en ce que le système d'analyse de réseau classifie les cellules dans la zone de problème satisfaisant une condition prédéfinie en tant que super-cellules. L'invention résout un problème selon l'état de la technique de baisse du rendement de réduction d'interférences dans un système en liaison descendante lors de la simple fusion de cellules interférant entre elles en une super-cellule.
PCT/CN2017/085527 2016-06-08 2017-05-23 Procédé et dispositif de classification de super-cellules WO2017211178A1 (fr)

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