CN113950080B - Method, device and storage medium for determining optimized cell - Google Patents
Method, device and storage medium for determining optimized cell Download PDFInfo
- Publication number
- CN113950080B CN113950080B CN202111092617.7A CN202111092617A CN113950080B CN 113950080 B CN113950080 B CN 113950080B CN 202111092617 A CN202111092617 A CN 202111092617A CN 113950080 B CN113950080 B CN 113950080B
- Authority
- CN
- China
- Prior art keywords
- residential
- cell
- score
- grid
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application provides a method, a device and a storage medium for determining an optimized cell, which relate to the technical field of communication and are used for reasonably optimizing network resources of a partial area and reducing the cost of operators. The method comprises the following steps: obtaining cell information of each residential cell of the plurality of residential cells, the cell information comprising: the number of households, the number of Fiber To The Home (FTTH) users, the FTTH port utilization, the number of mobile network users and the mobile network quality. And determining the priority of each residential district according to the district information of each residential district and a preset weight value, wherein the priority of each residential district is used for reflecting the importance degree of the residential district to an operator. And determining a target optimization cell according to the priority of each residential cell, wherein the priority of the target optimization cell is greater than a preset priority threshold.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and apparatus for determining an optimized cell, and a storage medium.
Background
With the increasing popularity of broadband applications, users have a higher demand for broadband networks, and operators need to strengthen existing network resources to meet the user demands.
To complement existing network resources or enhance network resource complementation, it is often necessary to add or replace network equipment (e.g., base stations) in some areas (e.g., residential cells). For example, operators may upgrade 1G passive optical networks (Passive Optical Network, PON) to 10GPON networks, which have the characteristics of large rate, high bandwidth, and may develop gigabit services to attract better quality users.
However, the equipment investment of a 10GPON network is much higher than that of a 1GPON network. If there are a large number of areas to be upgraded to a 10GPON network, there is a pressure on the cost of the operators.
Disclosure of Invention
The method, the device and the storage medium for determining the optimized cell can reasonably optimize network resources of a partial area and reduce the cost of operators.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the present application provides a method of determining an optimized cell. In this method, a determining device (may be simply referred to as a "determining device") of an optimized cell acquires cell information of each of a plurality of residential cells, the cell information including: the number of households, the number of Fiber To The Home (FTTH) users, the FTTH port utilization, the number of mobile network users and the mobile network quality. The determining device determines the priority of each residential district according to the district information and the preset weight value of each residential district, and the priority of each residential district is used for reflecting the importance degree of the residential district to an operator. The determining device determines a target optimizing cell according to the priority of each residential cell, wherein the priority of the target optimizing cell is larger than a preset priority threshold.
Based on the above technical solution, the determining device can obtain the cell information (including the number of households, the number of FTTH users for fiber to the home, the FTTH port usage rate, the number of mobile network users and the quality of the mobile network) of the residential cell. The determining means may determine a priority of the residential cell in combination with the cell information, the priority being used to reflect the importance of the residential cell to the operator. And, the determining means may determine the target optimized cell according to the importance of the residential cell to the operator. Therefore, only partial cells with higher importance level to operators can be optimized, the network construction utilization rate of the operators can be guaranteed to the greatest extent, and the cost can be reduced.
In one possible design, the determining means determines a first score for each residential cell based on the number of households in each residential cell. The determining means determines a second score for each residential cell based on the number of FTTH users for each residential cell. The determining means determines a third score for each residential cell based on the FTTH port usage for each residential cell. The determining means determines a fourth score for each residential cell based on the number of mobile network users for each residential cell. The determining means determines a fifth score for each residential cell based on the mobile network quality of each residential cell. The determining means determines a target score for each residential cell based on the first score, the second score, the third score, the fourth score, and the fifth score of each residential cell, and a preset weight value. The determining means determines the priority of each residential cell based on the target score of each residential cell.
In one possible design, the determining means acquires grid information of a plurality of grids and location information of each residential cell, the grid information including a number of grid users and the grid location information. The determining means determines a grid corresponding to each residential cell based on the grid position information of the plurality of grids and the position information of each residential cell. The determining device determines the number of households in each residential district according to the number of grid users of the grids corresponding to each residential district, wherein the number of households is the sum of the number of grid users of the grids corresponding to the residential district.
In one possible design, the determining means obtains location information of a plurality of mobile network users. The determining means determines the number of mobile network users per residential cell based on the location information of the plurality of mobile network users and the location information of each residential cell.
In a second aspect, the present application provides a determining apparatus for optimizing a cell, the apparatus including an acquisition unit and a determining unit.
An acquisition unit configured to acquire cell information of each of a plurality of residential cells, the cell information including: the number of households, the number of Fiber To The Home (FTTH) users, the FTTH port utilization, the number of mobile network users and the mobile network quality. And the determining unit is used for determining the priority of each residential district according to the district information of each residential district and the preset weight value, and the priority of each residential district is used for reflecting the importance degree of the residential district to an operator. The determining unit is further configured to determine, according to the priority of each residential district, a target optimization district, where the priority of the target optimization district is greater than a preset priority threshold.
In a possible design, the determining unit is specifically configured to determine the first score of each residential cell according to the number of households in each residential cell. A second score for each residential cell is determined based on the number of FTTH users for each residential cell. A third score for each residential cell is determined based on the FTTH port usage for each residential cell. A fourth score is determined for each residential cell based on the number of mobile network users for each residential cell. A fifth score for each residential cell is determined based on the mobile network quality of each residential cell. And determining the target score of each residential district according to the first score, the second score, the third score, the fourth score and the fifth score of each residential district and the preset weight value. The priority of each residential cell is determined based on the target score for each residential cell.
In a possible design, the acquiring unit is further configured to acquire grid information of a plurality of grids and location information of each residential cell, where the grid information includes a number of grid users and grid location information. And the determining unit is also used for determining the grids corresponding to each residential district according to the grid position information of the grids and the position information of each residential district. The determining unit is further configured to determine, according to the number of grid users of the grid corresponding to each residential district, the number of households in each residential district, where the number of households is the sum of the number of grid users of the grid corresponding to the residential district.
In a possible design, the acquiring unit is further configured to acquire location information of a plurality of mobile network users. And the determining unit is also used for determining the number of the mobile network users in each residential district according to the position information of the plurality of mobile network users and the position information of each residential district.
In a third aspect, the present application provides a determining apparatus for optimizing a cell, the apparatus comprising: a processor and a memory; the processor and the memory are coupled; the memory is configured to store one or more programs comprising computer-executable instructions that, when executed by the determining means of the optimized cell, are executable by a processor to implement the method of determining an optimized cell as described in the first aspect and any one of the possible implementations of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the method of determining an optimized cell described in any one of the possible implementations of the first aspect and the first aspect described above.
In a fifth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement the method of determining an optimised cell as described in any one of the possible implementations of the first aspect and the first aspect.
In the above solution, the technical problems and the technical effects that can be solved by the determining device, the computer storage medium or the chip of the optimized cell can be referred to the technical problems and the technical effects that can be solved by the above first aspect, and are not described herein again.
Drawings
Fig. 1 is a system architecture diagram of a communication system according to an embodiment of the present application;
fig. 2 is a flow chart of a method for determining an optimized cell according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a determining device for optimizing a cell according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another apparatus for determining an optimized cell according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The character "/" herein generally indicates that the associated object is an "or" relationship. For example, A/B may be understood as A or B.
The terms "first" and "second" in the description and in the claims of the present application are used for distinguishing between different objects and not for describing a particular sequential order of objects.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may include other steps or modules not listed or inherent to such process, method, article, or apparatus.
In addition, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "e.g." should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present concepts in a concrete fashion.
As shown in fig. 1, a communication system according to an embodiment of the present application includes a network device (e.g., a base station) and a server.
The base stations may include various forms of base stations, for example: macro base stations, micro base stations (also referred to as small stations), relay stations, access points, and the like. The method specifically comprises the following steps: an Access Point (AP) in a wireless local area network (Wireless Local Area Network, WLAN), a base station (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile Communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a base station (NodeB, NB) in wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), an Evolved base station (Evolved Node B, eNB or eNodeB) in LTE, a relay station or access point, or a vehicle device, a wearable device, and a next generation Node B (The Next Generation Node B, gNB) in a future 5G network or a base station in a future Evolved public land mobile network (Public Land Mobile Network, PLMN) network, etc.
The server may be a physical server or a cloud server, which is not limited in this embodiment of the present application. Taking a server as a physical server for example, the server may be in wired communication with a network device (e.g., a base station). For example, the server may obtain information (e.g., O-domain data, B-domain data, etc.) for the network device. And, the server may process information of the network device. The server may also store information of the network device.
Optionally, the communication system may further comprise a server. The terminal may be a device having a transceiving function. Terminals may be deployed on land, including indoors or outdoors, hand-held or vehicle-mounted; may also be deployed on the surface of water (e.g., a ship, etc.); but may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). The terminal includes a handheld device, an in-vehicle device, a wearable device, or a computing device with wireless communication capabilities. The terminal may be a mobile phone, a tablet computer, or a computer with a wireless transceiving function, for example. The terminal device may also be a Virtual Reality (VR) terminal device, an augmented reality (augmented reality, AR) terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned, a wireless terminal in telemedicine, a wireless terminal in smart grid, a wireless terminal in smart city, a wireless terminal in smart home, etc.
Embodiments of the present application will be specifically described below with reference to the drawings attached to the specification.
As shown in fig. 2, a method for determining an optimized cell according to an embodiment of the present application includes:
S201, the determining device acquires cell information of each of a plurality of residential cells.
In the embodiment of the present application, the cell information includes: the number of households, the number of fiber to the home (Fibre To The Home, FTTH) subscribers, the FTTH port usage, the number of mobile network subscribers, and the quality of the mobile network.
Wherein the number of households in a residential cell is the number of users residing in the residential cell.
In one possible implementation, the determining means may acquire grid information of a plurality of grids and location information of each residential cell, the grid information including a number of grid users and grid location information. The number of users in the grid refers to the number of users in the grid, and the grid position information refers to the longitude and latitude of the grid. In general, grid position information can be represented by the longitude of the center point of the grid (simply referred to as the center longitude) and the latitude of the center point (simply referred to as the center latitude).
The grid refers to dividing an area into a plurality of grids, each of which is one grid, according to the distribution of each area (e.g., province, city, district, etc.) in the map. For the description of the grid, reference may be made to the description of the grid in the conventional technology, and the description is omitted here. In addition, the embodiment of the present application does not limit the manner of acquiring the grid information of the grid. For example, the determining means may acquire grid information of the grid through the network.
For example, the plurality of grids may include a first grid, a second grid, and a third grid. Wherein the number of grid users of the first grid is 350 (people), and the grid position information of the first grid is (116 DEG 46'E,40 DEG 13' N); the number of grid users of the second grid is 300 (people), and the grid position information of the second grid is (116 DEG 16'E,40 DEG 33' N); the grid user number of the third grid is 310 (people), and the grid position information of the third grid is (116 deg. 16'e,40 deg. 23' n).
The determining means determines a grid corresponding to each residential cell based on the grid position information of the plurality of grids and the position information of each residential cell. Specifically, the determining means may determine whether the first grid is within a range of the first residential quarter, the first grid being any one of the plurality of grids, and the first residential quarter being any one of the plurality of residential quarter, based on the grid position information of the plurality of grids and the position information of the residential quarter. If the first grid is within the range of the first residential cell, the determining means determines that the first grid is the grid corresponding to the first residential cell.
The manner in which the determining device obtains the location information of the residential cell is not limited in the embodiments of the present application. For example, the determining means may acquire O-domain data, the O-domain data including location information of the residential cell. The embodiment of the present application does not limit the expression form of the location information of the residential cell. For example, the location information of a residential cell may be represented by the longitude and latitude of the residential cell. For another example, the location information of the residential cell may be represented by a residential cell border (map border vector diagram).
Illustratively, if grid position information of grid a is (116 ° 46'e,40 ° 13' n), grid position information of grid b is (116 ° 56'e,40 ° 40' n), and grid position information of grid c is (116 ° 50'e,40 ° 36' n). If the location information of the first residential cell is: (116 DEG 46'E,40 DEG 53' N), (116 DEG 66'E,40 DEG 53' N), (116 DEG 46'E,40 DEG 33' N), (116 DEG 66'E,40 DEG 33' N). The grid corresponding to the first residential cell includes grid b and grid c.
The determining device determines the number of households in each residential district according to the number of grid users of the grids corresponding to each residential district, wherein the number of households is the sum of the number of grid users of the grids corresponding to the residential district. For example, if the number of grid users of the grid b corresponding to the residential cell is 300 and the number of grid users of the grid c corresponding to the residential cell is 500, the number of users of the residential cell is 800.
It can be understood that the grid corresponding to the residential area can be accurately determined according to the grid information of the grid and the position information of the residential area, so as to obtain the number of users of the residential area. Therefore, the importance degree of the residential district to the operators can be analyzed by combining the number of the users of the residential district, and whether the district is optimized or not is further determined, so that the cost of the operators is effectively reduced.
In the embodiment of the present application, the number of FTTH users is the number of users using FTTH in the residential cell. FTTH port usage is the ratio between the number of FTTH ports already used in the residential cell and the number of total FTTH ports in the residential cell. Illustratively, if the number of total FTTH ports in the residential cell is 1000 and the number of FTTH ports already used is 800, the FTTH port usage is 80%.
In the embodiment of the present application, the number of mobile network users is the number of users using the mobile network that reside in the residential cell.
In a possible implementation, the determining means may obtain location information of a plurality of mobile network users. The number of mobile network users per residential cell is determined based on the location information of the plurality of mobile network users and the location information of each residential cell. Illustratively, if the location information of user a is (116 deg. 46'e,40 deg. 13' n), the location information of user b is (116 deg. 56'e,40 deg. 40' n), and the location information of user c is (116 deg. 50'e,40 deg. 36' n). If the location information of the residential cell is: (116 DEG 46'E,40 DEG 53' N), (116 DEG 66'E,40 DEG 53' N), (116 DEG 46'E,40 DEG 33' N), (116 DEG 66'E,40 DEG 33' N). The number of mobile network subscribers of the residential cell is 2.
In one possible design, mobile network quality is used to reflect the signal quality of the residential cell. By way of example, mobile network quality may be represented by a network coverage ratio, which is the ratio between the number of users in the residential cell for which the 5G/4G coverage measurement report (Measurement report, MR) is greater than a preset quality threshold and the number of mobile users in the residential cell. By way of example, the mobile network quality of residential cell a may be represented by the ratio of the number of users in residential cell a with a 5G/4G coverage MR greater than 112dBM to the number of mobile network users. For example, the 5G/4G coverage MR in residential cell a is 950 for a number of users greater than 112dBM and the mobile network number of users is 1000, then the ratio is 95%. Alternatively, the mobile network quality may also be represented by a reception level value, a reception quality, or the like.
S202, the determining device determines the priority of each residential district according to the district information of each residential district and a preset weight value.
Wherein the priority of the residential cell is used to reflect the importance of the residential cell to the operator.
It will be appreciated that whether the residential cell is important to the operator is often based on data such as user base and port usage as criteria. Therefore, the determining device can reflect the importance degree of the residential district to the operator according to the priority of the residential district obtained by the user quantity (the resident quantity, the FTTH user quantity and the mobile network user quantity), the FTTH port utilization rate and the mobile network quality in the district information.
In a possible implementation, the determining means determines the first score for each residential cell based on the number of households in each residential cell. Specifically, the determining means may sort the plurality of residential cells in a preset order (for example, an order from large to small) according to the number of households of each residential cell. Thereafter, the determining means determines a first score for each residential cell based on the ranking of the residential cells. Illustratively, if the rank of residential cell a is the first 10%, then the first score for residential cell a is 100; if the rank of residential cell B is between 10% -20%, then the first score for residential cell B is 90; if the rank of residential cell C is 20% -40%, then the first score for residential cell C is 80; if the rank of residential cell D is 40% -60%, then the first score for residential cell D is 70; if the rank of residential cell E is 60% -80%, then the first score for residential cell E is 60; if the rank of residential cell F is the last 20% (i.e., 80% after), then the first score for residential cell F is 50.
It should be noted that, the embodiment of the present application does not limit the sorting manner and the manner of determining the first score.
The determining means determines a second score for each residential cell based on the number of FTTH users for each residential cell. The determining means determines a third score for each residential cell based on the FTTH port usage for each residential cell. The determining means determines a fourth score for each residential cell based on the number of mobile network users for each residential cell. The determining means determines a fifth score for each residential cell based on the mobile network quality of each residential cell.
The manner in which the determining means determines the second score, the third score, the fourth score and the fifth score may refer to a method in which the determining means determines the first score of each residential cell according to the number of households in each residential cell, which is not described herein.
Alternatively, the determining means may determine the fifth score of each residential cell based on the mobile network quality of each residential cell and a preset ratio threshold.
For example, if the preset ratio threshold is 95%. The mobile network quality for residential cell a is 98%, and the fifth score for residential cell a is 100. The mobile network quality for residential cell B is 94% and the fifth score for residential cell B is 50.
In the embodiment of the present application, the determining device may determine the target score of each residential cell according to the first score, the second score, the third score, the fourth score, the fifth score, and the preset weight value of each residential cell. The preset weight value comprises the following steps: the first preset weight value, the second preset weight value, the third preset weight value, the fourth preset weight value and the fifth preset weight value.
In one possible design, the determining means may determine the target score for the residential cell by equation one.
y＝x 1 ×a 1 +x 2 ×a 2 +x 3 ×a 3 +x 4 ×a 4 +x 5 ×a 5 Formula one.
Where y is used to represent the target score, x 1 For representing a first score, a 1 For representing a first preset weight value, x 2 For representing the second score, a 2 For representing a second preset weight value, x 3 For representing a third score, a 3 For representing a third preset weight value, x 4 For representing the fourth score, a 4 For representing a fourth preset weight value, x 5 For indicating the fifth scoreValue of a 5 For representing a fifth preset weight value.
For example, if the first preset weight value is 0.2, the second preset weight value is 0.2, the third preset weight value is 0.15, the fourth preset weight value is 0.25, and the fifth preset weight value is 0.2. If the first score 100, the second score 100, the third score 60, the fourth score 80, and the fifth score 60 for residential cell a, then the target score for residential cell a is 81.
The determining means determines the priority of each residential cell based on the target score of said each residential cell. For example, the determining means may rank the plurality of residential cells according to the target score of each residential cell, and determine the priority of each residential cell.
In one possible design, the priorities of the residential cells include: first priority, second priority, and third priority. The first priority is higher than the second priority, and the second priority is higher than the third priority. For example, if the target score of a residential cell is greater than 90, the residential cell may be determined to be a first priority residential cell; if the target score for the residential cell is within the range of 80-90, then the residential cell may be determined to be a second priority residential cell; if the target score for a residential cell is within the range of 70-80, then the residential cell may be determined to be the third priority residential cell.
Alternatively, if multiple residential cells are adjacent or similar, the priority of the residential cells may be raised.
S203, the determining device determines a target optimization cell according to the priority of each residential cell.
The priority of the target optimization cell is larger than a preset priority threshold.
The target optimization cell is a residential cell for the operator to complement network resources. That is, after a residential cell is determined as the target optimized cell, the operator may enhance the network resources of the residential cell (e.g., add network devices or replace network devices).
In one possible implementation, the determining means may compare the priority of each residential cell with a preset priority threshold, and determine the residential cell having the priority greater than or equal to the preset priority threshold as the target optimized cell.
Illustratively, if the preset priority threshold is the second priority, the residential cells having the priorities of the first priority and the second priority are both target optimized cells.
It should be noted that, in a case where the cost that the operator can support is high, the preset priority threshold may be low. Thus, more network resources of residential communities can be complemented to improve the user experience of the user. The preset priority threshold may be higher in case the cost that the operator can support is lower. Therefore, only network resources of residential communities with higher importance can be built, and the cost is reduced.
It will be appreciated that higher priority residential cells are of greater importance to the operator. Therefore, the operator only complements the network resources of the target optimization cell, so that the network construction utilization rate of the operator can be guaranteed to the greatest extent, and the cost can be reduced.
In some embodiments, the determining means may determine the target optimized cell based on a priority of each residential cell and a cell type of each residential cell. Wherein the cell type includes: a first type cell and a second type cell. The first type of cells are cells in which the service ratio of the operator in the residential cell is larger than or equal to a preset service ratio threshold, and the second type of cells are cells in which the service ratio of the operator in the residential cell is smaller than the preset service ratio threshold.
The service ratio of the operator in the residential cell means a ratio between the number of users in the residential cell served by the operator and the number of households in the residential cell. Alternatively, the service duty of an operator in a residential cell refers to the share of the market that the operator occupies in that residential cell. For example, the market share of an operator in residential cell a is 50%.
In one possible implementation, the determining device may obtain a service duty ratio of each residential cell, and determine a cell type of each residential cell. For example, if the preset service proportion threshold is 40%. If the serving ratio of the residential cell a is 50%, the residential cell a is a first type cell. If the serving ratio of the residential cell B is 30%, the residential cell B is a second type cell.
In this embodiment of the present application, the preset priority threshold is a first priority threshold or a second priority threshold, where the first priority threshold is smaller than the second priority threshold. If the residential cell is a first type cell, the preset priority threshold is a first priority threshold. And if the residential cell is the second-class cell, the preset priority threshold is a second priority threshold.
It can be appreciated that the market share of the operators in the first-class cell is higher, the importance level to the operators is higher, and the limitation on the priority of the residential cell can be reduced, so that the residential cell can be ensured to promote the network resource. The market share of operators in the second type of cells is lower, the importance degree of the operators is lower, and the limitation on the priority of the residential cells can be improved, so that the network resources can be improved under the condition that the importance degree of the residential cells is higher. In conclusion, only network resources of residential communities with higher importance can be built, and the cost is reduced.
Optionally, the determining means may determine an optimization policy according to the priority of the residential cell, where the optimization policy includes: a first optimization strategy, a second optimization strategy, and a third optimization strategy. The network optimization degree of the first optimization strategy is higher than that of the second optimization strategy, and the network optimization degree of the second optimization strategy is higher than that of the third optimization strategy.
Illustratively, the first optimization strategy may be a strategy that comprehensively improves network resources of the residential cell (e.g., adding or replacing network devices). The second optimization strategy may be a strategy (e.g., room space reservation, cable resource construction, etc.) for preparing to promote network resources of the residential cell. The third optimization strategy is a strategy that does not promote network resources of the residential cell.
It will be appreciated that the cost and degree of optimization varies from one optimization strategy to another. Residential cells of different priorities have different degrees of impact on the operator. Therefore, different optimization strategies are adopted for residential communities with different priorities, so that the resource utilization rate can be improved, and the cost of operators can be reduced.
The foregoing description of the solution provided by the embodiments of the present application has been presented mainly from the perspective of a computer device. It will be appreciated that the computer device, in order to carry out the functions described above, comprises corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the steps of the method of determining an optimal cell for each of the examples described in connection with the embodiments disclosed herein may be implemented in hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application also provides a determination device for optimizing the cell. The device for determining the optimized cell may be a computer device, a CPU in the computer device, a processing module in the computer device for determining the optimized cell, or a client in the computer device for determining the optimized cell.
The embodiment of the present application may divide the functional module or the functional unit of the determining device of the optimized cell according to the above method example, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.
Fig. 3 is a schematic structural diagram of a determining device for optimizing a cell according to an embodiment of the present application. The determination device of the optimized cell is used for executing the determination method of the optimized cell shown in fig. 2. The determination means of the optimized cell may comprise an acquisition unit 301 and a determination unit 302.
An acquiring unit 301, configured to acquire cell information of each of a plurality of residential cells, where the cell information includes: the number of households, the number of Fiber To The Home (FTTH) users, the FTTH port utilization, the number of mobile network users and the mobile network quality. A determining unit 302, configured to determine a priority of each residential cell according to the cell information of each residential cell and a preset weight value, where the priority of each residential cell is used to reflect an importance degree of each residential cell to an operator. The determining unit 302 is further configured to determine a target optimization cell according to the priority of each residential cell, where the priority of the target optimization cell is greater than a preset priority threshold.
Optionally, the determining unit 302 is specifically configured to determine the first score of each residential cell according to the number of households in each residential cell. A second score for each residential cell is determined based on the number of FTTH users for each residential cell. A third score for each residential cell is determined based on the FTTH port usage for each residential cell. A fourth score is determined for each residential cell based on the number of mobile network users for each residential cell. A fifth score for each residential cell is determined based on the mobile network quality of each residential cell. And determining the target score of each residential district according to the first score, the second score, the third score, the fourth score and the fifth score of each residential district and the preset weight value. The priority of each residential cell is determined based on the target score for each residential cell.
Optionally, the acquiring unit 301 is further configured to acquire grid information of a plurality of grids and location information of each residential cell, where the grid information includes a number of grid users and grid location information. The determining unit 302 is further configured to determine a grid corresponding to each residential cell according to the grid position information of the multiple grids and the position information of each residential cell. The determining unit 302 is further configured to determine, according to the number of grid users of the grid corresponding to each residential district, the number of households in each residential district, where the number of households is the sum of the number of grid users of the grid corresponding to the residential district.
The acquiring unit 301 is further configured to acquire location information of a plurality of mobile network users. The determining unit 302 is further configured to determine the number of mobile network users in each residential cell according to the location information of the plurality of mobile network users and the location information of each residential cell.
Fig. 4 shows still another possible configuration of the determination means of the optimized cell involved in the above-described embodiment. The device for determining the optimized cell comprises: a processor 401 and a communication interface 402. The processor 401 is configured to control and manage the actions of the apparatus, for example, to perform various steps in the method flows shown in the method embodiments described above, and/or to perform other processes of the techniques described herein. The communication interface 402 is used to support communication of the determination means of the optimized cell with other network entities. The determination means of the optimization cell may further comprise a memory 403 and a bus 404, the memory 403 being used for storing program codes and data of the means.
Wherein the processor 401 may implement or execute the various exemplary logic blocks, elements and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. A processor may also be a combination that performs computing functions, e.g., including one or more microprocessors, a combination of a DSP and a microprocessor, and the like.
In actual implementation, the acquisition unit 301 may be implemented by the communication interface 402 shown in fig. 4, and the determination unit 302 may be implemented by the processor 401 shown in fig. 4 invoking program code in the memory 403. For a specific implementation, reference may be made to the description of the method for determining the optimized cell shown in fig. 2, which is not repeated here.
From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of determining an optimized cell in the method embodiments described above.
The embodiment of the application also provides a computer readable storage medium, in which instructions are stored, which when executed on a computer, cause the computer to execute the method for determining the optimized cell in the method flow shown in the method embodiment.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the determining apparatus, the computer readable storage medium, and the computer program product for optimizing a cell in the embodiments of the present invention can be applied to the above-mentioned method, the technical effects that can be obtained by the method can also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not described herein again.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A method of determining an optimized cell, the method comprising:
obtaining cell information of each residential cell of a plurality of residential cells, the cell information comprising: the number of households, the number of FTTH users for fiber to the home, the FTTH port utilization rate, the number of mobile network users and the quality of the mobile network;
determining a first score for each residential cell based on the number of households for each residential cell;
determining a second score for each residential cell based on the number of FTTH users for said each residential cell;
Determining a third score for each residential cell based on the FTTH port usage for said each residential cell;
determining a fourth score for each residential cell based on the number of mobile network users for said each residential cell;
determining a fifth score for each residential cell based on the mobile network quality of said each residential cell;
determining a target score of each residential district according to the first score, the second score, the third score, the fourth score, the fifth score and a preset weight value of each residential district;
determining the priority of each residential district according to the target score of each residential district, wherein the priority of each residential district is used for reflecting the importance degree of the residential district to an operator;
and determining a target optimization cell according to the priority of each residential cell, wherein the priority of the target optimization cell is larger than a preset priority threshold.
2. The method of claim 1, wherein obtaining the number of households for each residential cell comprises:
acquiring grid information of a plurality of grids and position information of each residential district, wherein the grid information comprises the number of grid users and grid position information;
Determining a grid corresponding to each residential district according to the grid position information of the grids and the position information of each residential district;
and determining the number of households in each residential district according to the number of grid users of the grid corresponding to each residential district, wherein the number of households is the sum of the number of grid users of the grid corresponding to the residential district.
3. The method according to claim 1 or 2, wherein obtaining the number of mobile network users per residential cell comprises:
acquiring position information of a plurality of mobile network users;
and determining the number of the mobile network users in each residential district according to the position information of the mobile network users and the position information of each residential district.
4. An apparatus for determining an optimized cell, the apparatus comprising:
an acquisition unit configured to acquire cell information of each of a plurality of residential cells, the cell information including: the number of households, the number of FTTH users for fiber to the home, the FTTH port utilization rate, the number of mobile network users and the quality of the mobile network;
a determining unit, configured to determine a first score of each residential district according to the number of households in each residential district;
The determining unit is further configured to determine a second score of each residential cell according to the number of FTTH users in each residential cell;
the determining unit is further configured to determine a third score of each residential cell according to the FTTH port usage rate of each residential cell;
the determining unit is further configured to determine a fourth score of each residential cell according to the number of mobile network users in each residential cell;
the determining unit is further configured to determine a fifth score of each residential cell according to the mobile network quality of the each residential cell;
the determining unit is further configured to determine a target score of each residential cell according to the first score, the second score, the third score, the fourth score, the fifth score, and a preset weight value of each residential cell;
the determining unit is further configured to determine, according to the target score of each residential district, a priority of each residential district, where the priority of each residential district is used to reflect an importance degree of each residential district to an operator;
the determining unit is further configured to determine, according to the priority of each residential district, a target optimization district, where the priority of the target optimization district is greater than a preset priority threshold.
5. The apparatus of claim 4, wherein the device comprises a plurality of sensors,
the acquisition unit is further used for acquiring grid information of a plurality of grids and position information of each residential district, wherein the grid information comprises the number of grid users and grid position information;
the determining unit is further configured to determine a grid corresponding to each residential district according to grid position information of the multiple grids and position information of each residential district;
the determining unit is further configured to determine, according to the number of grid users of the grid corresponding to each residential district, the number of households in each residential district, where the number of households is the sum of the number of grid users of the grid corresponding to the residential district.
6. The apparatus of claim 4 or 5, wherein the device comprises a plurality of sensors,
the acquisition unit is further used for acquiring the position information of a plurality of mobile network users;
the determining unit is further configured to determine the number of mobile network users in each residential cell according to the location information of the plurality of mobile network users and the location information of each residential cell.
7. A determination apparatus for optimizing a cell, comprising: a processor and a memory; the processor and the memory are coupled; said memory is adapted to store one or more programs, the one or more programs comprising computer-executable instructions which, when executed by the determining means of the optimized cell, cause the determining means of the optimized cell to perform the method of any of claims 1-3.
8. A computer readable storage medium having instructions stored therein, which when executed by a computer, performs the method of any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111092617.7A CN113950080B (en) | 2021-09-17 | 2021-09-17 | Method, device and storage medium for determining optimized cell |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111092617.7A CN113950080B (en) | 2021-09-17 | 2021-09-17 | Method, device and storage medium for determining optimized cell |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113950080A CN113950080A (en) | 2022-01-18 |
| CN113950080B true CN113950080B (en) | 2023-06-30 |
Family
ID=79328250
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111092617.7A Active CN113950080B (en) | 2021-09-17 | 2021-09-17 | Method, device and storage medium for determining optimized cell |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113950080B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115396907B (en) * | 2022-08-18 | 2023-07-18 | 中国联合网络通信集团有限公司 | Method, device and storage medium for determining optimized cell |
| CN115802363A (en) * | 2022-11-11 | 2023-03-14 | 中国联合网络通信集团有限公司 | Method and device for determining cell to be optimized |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101459562A (en) * | 2007-12-11 | 2009-06-17 | 潘岩 | Communication Ethernet system for intelligent housing district |
| CN103731855A (en) * | 2012-10-11 | 2014-04-16 | 中国移动通信集团上海有限公司 | Method and device for screening high-data service hot spot cells |
| WO2018010362A1 (en) * | 2016-07-11 | 2018-01-18 | 中兴通讯股份有限公司 | Volte callback implementation method, device, terminal and storage medium |
| CN108846583A (en) * | 2018-06-21 | 2018-11-20 | 中国联合网络通信集团有限公司 | The appraisal procedure and device of broadband network returns of investment |
| CN108965034A (en) * | 2018-08-29 | 2018-12-07 | 华北电力大学（保定） | Small-cell base station super-intensive deployment under user-association to network method |
| CN110831084A (en) * | 2018-08-10 | 2020-02-21 | 维沃移动通信有限公司 | Cell reselection method and terminal |
| CN110839257A (en) * | 2019-11-14 | 2020-02-25 | 中国联合网络通信集团有限公司 | Network quality evaluation method, device and storage medium |
| CN112738813A (en) * | 2020-12-30 | 2021-04-30 | 中国联合网络通信集团有限公司 | Network construction assessment method and device |
| CN113038305A (en) * | 2021-02-25 | 2021-06-25 | 中国联合网络通信集团有限公司 | Method and device for controlling FTTB to be FTTH |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110170427A1 (en) * | 2010-01-11 | 2011-07-14 | Nokia Corporation | Best Companion PMI-Based Beamforming |
| JP2011205218A (en) * | 2010-03-24 | 2011-10-13 | Sony Corp | Communication management method, management server, and communication system |
-
2021
- 2021-09-17 CN CN202111092617.7A patent/CN113950080B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101459562A (en) * | 2007-12-11 | 2009-06-17 | 潘岩 | Communication Ethernet system for intelligent housing district |
| CN103731855A (en) * | 2012-10-11 | 2014-04-16 | 中国移动通信集团上海有限公司 | Method and device for screening high-data service hot spot cells |
| WO2018010362A1 (en) * | 2016-07-11 | 2018-01-18 | 中兴通讯股份有限公司 | Volte callback implementation method, device, terminal and storage medium |
| CN108846583A (en) * | 2018-06-21 | 2018-11-20 | 中国联合网络通信集团有限公司 | The appraisal procedure and device of broadband network returns of investment |
| CN110831084A (en) * | 2018-08-10 | 2020-02-21 | 维沃移动通信有限公司 | Cell reselection method and terminal |
| CN108965034A (en) * | 2018-08-29 | 2018-12-07 | 华北电力大学（保定） | Small-cell base station super-intensive deployment under user-association to network method |
| CN110839257A (en) * | 2019-11-14 | 2020-02-25 | 中国联合网络通信集团有限公司 | Network quality evaluation method, device and storage medium |
| CN112738813A (en) * | 2020-12-30 | 2021-04-30 | 中国联合网络通信集团有限公司 | Network construction assessment method and device |
| CN113038305A (en) * | 2021-02-25 | 2021-06-25 | 中国联合网络通信集团有限公司 | Method and device for controlling FTTB to be FTTH |
Non-Patent Citations (2)
| Title |
|---|
| Research In Motion UK Limited.R1-111662 "Downlink CSI Feedback for Low Power Node".3GPP tsg_ran\WG1_RL1.2011,(TSGR1_65),全文. * |
| 基于数据分析的TD-LTE网络掉话优化方法研究;张晨;;菏泽学院学报(02);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113950080A (en) | 2022-01-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113950080B (en) | Method, device and storage medium for determining optimized cell | |
| CN110445866B (en) | Task migration and cooperative load balancing method in mobile edge computing environment | |
| KR102382913B1 (en) | Method and Apparatus for Wireless Resource Scheduling with Guaranteed QoS in Mobile Communication System | |
| CN109413661B (en) | Method and device for calculating station distance | |
| CN109474942B (en) | Wireless network optimization method and device | |
| CN105025497A (en) | Network planning method and system | |
| CN112333835A (en) | Carrier resource scheduling method and device | |
| CN114710787B (en) | Network planning method, device, equipment and storage equipment | |
| EP3022575B1 (en) | Method and apparatus for efficiently reducing number of access points in a radio map using grids | |
| CN110337112B (en) | Terminal access method and device | |
| CN114928849B (en) | Base station deployment method and device, electronic equipment and storage medium | |
| CN115314908B (en) | Network planning method, device, electronic equipment and storage medium | |
| CN111294811B (en) | Cell capacity expansion method and network equipment | |
| CN113938922B (en) | Method and device for determining optimized cell | |
| CN113329411B (en) | Wireless network planning method and device | |
| CN113923666B (en) | Method and device for identifying over-coverage base station, electronic equipment and storage medium | |
| CN114641008B (en) | Broadband access method, device and system | |
| CN112153679B (en) | Network switching method and device | |
| CN112399450B (en) | Interference assessment method and device | |
| CN111328441B (en) | Beam allocation method and device | |
| CN113923665B (en) | Flower arrangement base station identification method and device, electronic equipment and storage medium | |
| CN113938920B (en) | Method and device for predicting heavy tillage influence | |
| CN114125869B (en) | Network coverage statistics method and device, electronic equipment and storage medium | |
| CN115802363A (en) | Method and device for determining cell to be optimized | |
| CN103517282B (en) | The acquisition methods of usable spectrum and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |