CN113938922B - Method and device for determining optimized cell - Google Patents
Method and device for determining optimized cell Download PDFInfo
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- CN113938922B CN113938922B CN202111093188.5A CN202111093188A CN113938922B CN 113938922 B CN113938922 B CN 113938922B CN 202111093188 A CN202111093188 A CN 202111093188A CN 113938922 B CN113938922 B CN 113938922B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- 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
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- 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 and a device for determining an optimized cell, which relate to the technical field of communication, can reasonably build a broadband network and reduce the cost of operators. The method comprises the following steps: first network information, second network information, and user information of a plurality of residential cells are acquired. Then, the cell type of each residential cell is determined based on the first network information and the second network information of each residential cell. And determining the priority of each residential district according to the district type, the user information and the preset weight value 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 greater than a preset priority threshold.
Description
Technical Field
The present disclosure relates to the field of communications, and in particular, to a method and apparatus for determining an optimized cell.
Background
With the increasing popularity of broadband applications, users have a higher demand for broadband networks, and operators need to complement existing network resources or strengthen the complementation of network resources.
In order to complement existing network resources or enhance network resource complementation, it is often necessary to add network devices (e.g., base stations) in some areas. However, adding network devices increases the cost to the operator. If there are a large number of areas where network equipment needs to be added, there is a pressure on the cost of the operators.
Therefore, how to reasonably construct a broadband network and reduce the cost of operators becomes a problem to be solved urgently.
Disclosure of Invention
The application provides a method and a device for determining an optimized cell, which can reasonably build a broadband network 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 the method, a determining device (may be simply referred to as a "determining device") of an optimized cell acquires first network information, second network information and user information of a plurality of residential cells, wherein the first network information is used for reflecting the fixed broadband network quality of the residential cells, the second network information is used for reflecting the mobile broadband network quality of the residential cells, and the user information is used for reflecting the number of users which are not connected to the fixed broadband network and the number of users which are not connected to the mobile broadband network in the residential cells. Then, the determining means determines a cell type of each residential cell based on the first network information and the second network information of each residential cell, the cell type including: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell. The determining device determines the priority of each residential district according to the district type, the user 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 technical scheme, the determining device can determine the cell type of the residential cell and determine the priority of the residential cell by combining the cell type of the residential cell, the user information and the preset weight value. The user information is used for reflecting the number of users which are not accessed to the fixed broadband network and the number of users which are not accessed to the mobile broadband network in the residential district, and the priority of the residential district is used for reflecting the importance degree of the residential district to an operator. In this way, the determining means may determine the target optimized cell based on the importance of the residential cell to the operator. Therefore, partial cells can be optimized preferentially, the network construction utilization rate of operators can be guaranteed to the greatest extent, and the cost can be reduced.
In one possible design, the determining means determines an optimization strategy of the target optimization cell according to the cell type of each residential cell, the optimization strategy including a first strategy and a second strategy. If the target optimization cell is the first type cell, determining that the device optimizes the target optimization cell through a first strategy. If the target optimization cell is the second type cell, the determining device optimizes the target optimization cell through a second strategy.
In one possible design, the user information includes a first type of user information reflecting a number of users in the residential cell that have not accessed the fixed broadband network and a second type of user information reflecting a number of users in the residential cell that have not accessed the mobile broadband network.
The determining device determines the target score of each residential district according to the district type of each residential district, the preset weight value of the first class user information and the preset weight value of the second class user information. The determining means determines the priority of each residential cell based on the target score of each residential cell.
In one possible design, the preset weight value is a first weight value or a second weight value, where the first weight value is greater than the second weight value. If the residential area is the first-class area, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value. If the residential area is the second-class area, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
In one possible design, the first network information includes: broadband access mode of residential district, passive optical network PON type of optical line terminal OLT of residential district; the broadband access mode of the first type of cell is an optical Fiber To The Home (FTTH) mode, and the passive optical network of the Optical Line Terminal (OLT) of the first type of cell is 10G.
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.
The acquiring unit is configured to acquire first network information, second network information, and user information of a plurality of residential cells, where the first network information is used to reflect a fixed broadband network quality of the residential cells, the second network information is used to reflect a mobile broadband network quality of the residential cells, and the user information is used to reflect a number of users in the residential cells that are not connected to the fixed broadband network and a number of users that are not connected to the mobile broadband network.
The determining unit is configured to determine, according to the first network information and the second network information of each residential cell, a cell type of each residential cell, where the cell type includes: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell. And the method is also used for determining the priority of each residential district according to the district type, the user 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. And the target optimization cell is determined according to the priority of each residential cell, and the priority of the target optimization cell is larger than a preset priority threshold.
In a possible design, the determining unit is further configured to determine an optimization policy of the target optimization cell according to a cell type of each residential cell, where the optimization policy includes a first policy and a second policy. If the target optimization cell is the first type cell, the target optimization cell is optimized through a first strategy. If the target optimization cell is the second type cell, the target optimization cell is optimized through a second strategy.
In one possible design, the user information includes a first type of user information reflecting a number of users in the residential cell that have not accessed the fixed broadband network and a second type of user information reflecting a number of users in the residential cell that have not accessed the mobile broadband network.
The determining unit is specifically configured to determine a target score of each residential cell according to a cell type of each residential cell, a preset weight value of the first type of user information, and a preset weight value of the second type of user information. And is also specifically configured to determine a priority for each residential cell based on the target score for each residential cell.
In one possible design, the preset weight value is a first weight value or a second weight value, where the first weight value is greater than the second weight value. If the residential area is the first-class area, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value. If the residential area is the second-class area, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
In one possible design, the first network information includes: broadband access mode of residential district, passive optical network PON type of optical line terminal OLT of residential district; the broadband access mode of the first type of cell is an optical Fiber To The Home (FTTH) mode, and the passive optical network of the Optical Line Terminal (OLT) of the first type of cell is 10G.
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 computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of determining an optimised cell as described in any one of the possible implementations of the first aspect and the first aspect described above.
In a sixth 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 for optimizing the cell, the computer device (determining device for optimizing the cell), the computer storage medium, the computer program product or the chip may be referred to the technical problems and the technical effects that can be solved by the first aspect, and are not described herein.
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 flowchart of another method for determining an optimized cell according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of a determining device for optimizing a cell according to an embodiment of the present application;
fig. 5 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.
Before describing the method for determining the optimized cell in the embodiment of the present application in detail, the implementation environment and application field Jing Jinhang of the embodiment of the present application will be described.
As shown in fig. 1, a communication system provided in an embodiment of the present application includes a terminal and a base station. Optionally, the communication system may further include 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.
The base station may include various forms of base stations, such as: 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 the 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.
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 first network information, second network information, and user information of a plurality of residential cells.
The first network information is used for reflecting the fixed broadband network quality of the residential district, the second network information is used for reflecting the mobile broadband network quality of the residential district, and the user information is used for reflecting the number of users which are not accessed to the fixed broadband network and the number of users which are not accessed to the mobile broadband network in the residential district.
In a possible implementation manner, the determining device may acquire the first network information, the second network information and the user information by acquiring the O-domain data and the B-domain data. Wherein the O-domain data information is a data domain of the operation support system (operation support system). The O-domain data information is used for recording signaling records of terminal interaction with the mobile network. The B-domain data information is the data domain of the service support system (business support system). The B-domain data information includes user data and service data, and is used for recording order data of a service handled by the terminal.
In one possible design, the first network information may include: broadband access mode of the residential area, and passive optical network (Passive Optical Network, PON) type of an optical line terminal (optical line terminal, OLT) of the residential area. The second network information may include: network-based, measurement reporting (Measurement Report, MR).
By way of example, the determining means may collect the number of residences of the residential quarter, the broadband access mode of the residential quarter, the number of subscribers of the fixed broadband network of the residential quarter, the number of subscribers of the mobile broadband network of the residential quarter (i.e. the number of resident subscribers of the mobile broadband network), the standard address of the OLT of the optical line terminal of the residential quarter, the passive optical network PON type of the OLT of the residential quarter. Alternatively, the determining means may further acquire cell information of the residential cell, such as a cell name of the residential cell, a standard address of the residential cell, a longitude and latitude of the residential cell, and the like.
It will be appreciated that by acquiring cell information of the residential cell, the location of the residential cell, etc. may be determined. In this way, cell management may be facilitated.
S202, the determining device determines the cell type of each residential cell according to the first network information and the second network information of each residential cell.
Wherein the cell type includes: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell.
Optionally, the cell types may further include a third type of cell, where the fixed broadband network quality of the third type of cell is higher than the fixed broadband network quality of the second type of cell, and the mobile broadband network quality of the third type of cell is higher than the broadband network quality of the first type of cell.
That is, the first type of cell is a residential cell with good quality for a fixed broadband network. The second type of cell moves the residential cell with better quality of broadband network. The third type of cell is a residential cell with good quality both for fixed broadband networks and for mobile broadband networks.
In one possible design, the broadband access mode of the first type of cell is an optical fiber to the home FTTH mode, and the passive optical network of the optical line terminal OLT of the first type of cell is 10G. Optionally, the access bandwidth capability of the first type of cell is greater than or equal to 1000 megabytes, and/or the grid to which the residential cell belongs has the home networking capability, and/or the gigabit speed measurement standard reaching rate is 100%, and/or the terminal matching rate of the gigabit user is 100%.
The grid to which the residential cell belongs is a minimum operation unit of an operator, and the minimum unit is divided into grids by, for example, a business hall. The gigabit speed measurement standard rate is 100%, which means that 100% of the opened gigabit broadband network meets the speed measurement requirement. The terminal matching rate of the gigabit user is 100%, which means that all users applying for gigabit broadband network services have provided terminal devices supporting gigabit broadband network services.
In one possible design, the second type of cell is a residential cell having a ratio between the first coverage area and the second coverage area of the predetermined network system greater than or equal to a predetermined ratio. Wherein the first coverage area is an area in the residential cell where the MR is greater than or equal to a preset reference signal (e.g., -122 decibel milliwatts (decibel relative to one milliwatt, dBm)), and the second coverage area is a network coverage area in the residential cell. By way of example, if the preset ratio is 95% and the ratio of the area of the first coverage area to the area of the second coverage area of the 5G network of residential cell a is 98%, residential cell a is a second type of cell.
S203, the determining device determines the priority of each residential district according to the district type, the user information and the preset weight value of each residential district.
Wherein the priority of the residential cell is used to reflect the importance of the residential cell to the operator.
In one possible design, the priorities of the residential cells include: first, second, third, and fourth priorities. Wherein the first priority is higher than the second priority, the second priority is higher than the third priority, and the third priority is higher than the fourth priority.
It should be noted that, in particular, for the manner of determining the priority of each residential cell by the determining device according to the cell type, the user information and the preset weight value of each residential cell, reference may be made to the following embodiments, which are not described herein.
It will be appreciated that the determining means determines the priority of the residential cell and may prioritize the construction of a broadband network of a portion of the residential cells of higher importance. Therefore, the reasonable construction of the broadband network by the operators can be ensured, and the cost of the operators is reduced.
S204, 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. Optionally, the priority of the target optimization cell is equal to a preset priority threshold.
It should be noted that, in the embodiment of the present application, the preset priority threshold is not limited. For example, the preset priority threshold may be a second priority. For another example, the preset priority threshold may be a third priority.
For example, if the preset priority threshold is the third priority, the priority of the target optimized cell is greater than the preset priority threshold. If residential cell a and residential cell B are of a first priority, residential cell C is of a second priority, residential cell D is of a third priority, and residential cell E is of a fourth priority, the target optimization cell comprises: residential cell a, residential cell B, and residential cell C.
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. In this way, a broadband network of more residential cells can be built to improve the user experience. The preset priority threshold may be higher in case the cost that the operator can support is lower. Therefore, only the broadband network of the residential district with higher importance degree can be built, and the cost is reduced.
Based on the technical scheme, the determining device can determine the cell type of the residential cell and determine the priority of the residential cell by combining the cell type of the residential cell, the user information and the preset weight value. The user information is used for reflecting the number of users which are not accessed to the fixed broadband network and the number of users which are not accessed to the mobile broadband network in the residential district, and the priority of the residential district is used for reflecting the importance degree of the residential district to an operator. In this way, the determining means may determine the target optimized cell based on the importance of the residential cell to the operator. Therefore, partial cells can be optimized preferentially, the network construction utilization rate of operators can be guaranteed to the greatest extent, and the cost can be reduced.
In some embodiments, the determining means may determine the optimization strategy of the target optimization cell according to the cell type of each residential cell. Wherein the optimization strategy comprises a first strategy and a second strategy.
In the embodiment of the application, the first strategy is used for improving the quality of the mobile broadband network, and the second strategy is used for prompting the quality of the fixed broadband network.
It should be noted that, the embodiment of the present application does not limit the first policy and the second policy. Illustratively, the first policy may be to perform a capacity expansion operation on the network device. The second policy may be to add network devices.
In the embodiment of the present application, if the target optimization cell is a first type cell, the target optimization cell is optimized by a first policy. If the target optimization cell is the second type cell, the target optimization cell is optimized through a second strategy.
It can be appreciated that if the target optimization cell is a first type cell, it is indicated that the quality of the fixed broadband network of the residential cell is higher, and the quality of the mobile broadband network can be improved by the first policy. If the target optimization cell is the second type cell, the mobile broadband network quality of the residential cell is higher, and the fixed broadband network quality can be improved through a second strategy.
In other embodiments, the determining means may determine the target marketing cell based on a priority of each residential cell. The determining means may determine the marketing strategy of the target marketing cell based on the cell type of each residential cell.
In this embodiment, the priority of the third class of cells is highest. For the determination manner of the priorities of the first type of cell and the second type of cell, reference may be made to a method for determining the priority of the residential cell in the present application, which is not described herein.
As shown in fig. 3, in a method for determining an optimized cell according to an embodiment of the present application, S203 may include:
s301, determining the target score of each residential district by the determining device according to the district type of each residential district, the preset weight value of the first class user information and the preset weight value of the second class user information.
The user information comprises first-type user information and second-type user information, wherein the first-type user information is used for reflecting the number of users which are not accessed to the fixed broadband network in the residential district, and the second-type user information is used for reflecting the number of users which are not accessed to the mobile broadband network in the residential district.
In one possible design, the first type of user information may be determined by the number of residences of the residential quarter and the number of users of the fixed broadband network of the residential quarter, i.e. the first type of user information is the difference between the number of residences and the number of users of the fixed broadband network. The second type of user information may be determined by the number of residences of the residential quarter and the number of users of the mobile broadband network of the residential quarter, i.e. the second type of user information is the difference between the number of residences and the number of users of the mobile broadband network.
In this embodiment of the present application, the preset weight value is a first weight value or a second weight value. Wherein the first weight value is greater than the second weight value.
If the residential area is the first-class area, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value.
It will be appreciated that if the residential cell is of the first type, this means that the quality of the fixed broadband network of the residential cell is high. Therefore, in order to continue to ensure the user experience of the quality of the fixed broadband network of the residential community, the preset weight value of the first type of user information is a first weight value, and the preset weight value of the second type of user information is a second weight value.
If the residential area is the second-class area, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
It will be appreciated that if the residential cell is of the second type, this will be an indication that the mobile broadband network quality of the residential cell is high. Therefore, in order to continue to ensure the user experience of the mobile broadband network quality of the residential community, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
In one possible design, the target score may be a sum of a product of the first type of user information and a preset weight value of the first type of user information and a product of the second type of user information and a preset weight value of the second type of user information.
For example, if the first weight value is 75%, the second weight value is 25%. If residential cell a is a first type of cell, the first type of user information for residential cell a is 100, and the second type of residential user information is 200, then the target score for residential cell a is 125. If residential cell B is a second type of cell, the first type of user information for residential cell a is 100 and the second type of residential user information is 200, then the target score for residential cell B is 175.
Optionally, whether the operator is the dominant operator of the residential cell may affect the weight value, where the dominant operator is an operator whose service ratio in the residential cell is greater than or equal to a preset service ratio threshold, and the non-dominant operator is an operator whose service ratio in the residential cell is less 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 particular, the preset weight value in case the operator is the dominant operator of the residential cell is higher than in case the operator is the non-dominant operator of the residential cell
In other embodiments, the determining means may determine the target score of the residential cell according to the number of users of the fixed broadband network of the residential cell, the number of users of the mobile broadband network of the residential cell, the first user information and the second user information, and the corresponding preset weight values. For example, in case the operator is a non-dominant operator of the area, the determining means may determine the target score of the residential cell according to the number of users of the fixed broadband network of the residential cell (e.g. weight value of 20%), the number of users of the mobile broadband network of the residential cell (e.g. weight value of 60%), the first user information (e.g. weight value of 5%) and the second user information (e.g. weight value of 15%).
S302, the determining device determines the priority of each residential district according to the target score of each residential district.
In one possible implementation, the determining means may rank the target scores of each residential cell in a preset order. The preset sequence may be from large to small, or from small to large. Then, the priority of each residential district is determined according to the preset proportion of each priority.
Illustratively, if the preset proportion of the first priority is 20%, the preset proportion of the second priority is 20%, the preset proportion of the third priority is 30%, and the preset proportion of the fourth priority is 30%.
If the target score for residential cell A is 108, the target score for residential cell B is 105, the target score for residential cell C is 100, the target score for residential cell D is 95, the target score for residential cell E is 93, the target score for residential cell F is 84, the target score for residential cell G is 83, the target score for residential cell H is 80, the target score for residential cell I is 80, and the target score for residential cell J is 79. The residential cells of the first priority include residential cell a and residential cell B, the residential cells of the second priority include residential cell C and residential cell D, the residential cells of the third priority include residential cell E, residential cell F and residential cell G, and the residential cells of the fourth priority include residential cell H, residential cell I and residential cell J.
Alternatively, the determining means may sort according to the target scores according to cell types. Specifically, the determining device may sort the target scores of the first class cells according to a preset order, and determine the priority of each residential cell according to a preset proportion of each priority. And the determining means may sort the target scores of the second class cells in a preset order, and determine the priority of each residential cell in a preset proportion of each priority.
That is, the determining means may sort the first type cells and the second type cells, respectively, and determine the priority.
Optionally, among the plurality of residential cells of the same priority, the priority of the multipoint residential cell is higher than the priority of the single-point residential cell. The OLT connected to the multi-point residential area is connected to a plurality of residential areas, or the OLT adjacent to the OLT connected to the multi-point residential area is connected to a plurality of residential areas. The OLT of a single point residential cell connection has 1 residential cell connected thereto.
Illustratively, in combination with the above example, the target score for residential cell H and the target score for residential cell I in the fourth priority cell are the same. The residential community H is a multipoint residential community, and the residential community I is a single-point residential community, so that the priority of the residential community H is higher than that of the residential community I.
It can be understood that the construction of the broadband network for the multipoint residential area can simultaneously construct other areas under the same OLT, so that the utilization rate of the construction of the broadband network can be improved.
It will be appreciated that the determining means determines the priority of the residential cell and may prioritize the construction of a broadband network of a portion of the residential cells of higher importance. Therefore, the reasonable construction of the broadband network by the operators can be ensured, and the cost of the operators is 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. 4 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 or fig. 3. The determination means of the optimized cell may comprise an acquisition unit 401 and a determination unit 402.
An obtaining unit 401, configured to obtain first network information, second network information and user information of a plurality of residential cells, where the first network information is used to reflect a fixed broadband network quality of the residential cells, the second network information is used to reflect a mobile broadband network quality of the residential cells, and the user information is used to reflect a number of users in the residential cells that are not connected to the fixed broadband network and a number of users that are not connected to the mobile broadband network.
A determining unit 402, configured to determine a cell type of each residential cell according to the first network information and the second network information of each residential cell, where the cell type includes: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell. And the method is also used for determining the priority of each residential district according to the district type, the user 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. And the target optimization cell is determined according to the priority of each residential cell, and the priority of the target optimization cell is larger than a preset priority threshold.
Optionally, the determining unit 402 is further configured to determine an optimization policy of the target optimization cell according to a cell type of each residential cell, where the optimization policy includes a first policy and a second policy. If the target optimization cell is the first type cell, the target optimization cell is optimized through a first strategy. If the target optimization cell is the second type cell, the target optimization cell is optimized through a second strategy.
Optionally, the user information includes first-class user information and second-class user information, the first-class user information is used for reflecting the number of users in the residential district, which are not connected to the fixed broadband network, and the second-class user information is used for reflecting the number of users in the residential district, which are not connected to the mobile broadband network. The determining unit 402 is specifically configured to determine the target score of each residential cell according to the cell type of each residential cell, the preset weight value of the first type of user information, and the preset weight value of the second type of user information. In particular for determining the priority of each residential cell based on the target score of each residential cell.
Optionally, the preset weight value is a first weight value or a second weight value, and the first weight value is greater than the second weight value. If the residential area is the first-class area, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value. If the residential area is the second-class area, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
Optionally, the first network information includes: broadband access mode of residential district, passive optical network PON type of optical line terminal OLT of residential district; the broadband access mode of the first type of cell is an optical Fiber To The Home (FTTH) mode, and the PON of the OLT of the first type of cell is 10G.
Fig. 5 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 501 and a communication interface 502. The processor 501 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 502 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 503 and a bus 504, the memory 503 being used for storing program codes and data of the means.
Wherein the processor 501 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 401 may be implemented by the communication interface 502 shown in fig. 5, and the determination unit 402 may be implemented by the processor 501 shown in fig. 5 invoking program codes in the memory 503. For specific execution, reference may be made to the description of the method for determining the optimized cell shown in fig. 2 or fig. 3, and details thereof will not be 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 (12)
1. A method of determining an optimized cell, the method comprising:
acquiring first network information, second network information and user information of a plurality of residential communities, wherein the first network information is used for reflecting the quality of a fixed broadband network of the residential communities, the second network information is used for reflecting the quality of a mobile broadband network of the residential communities, and the user information is used for reflecting the number of users which are not connected with the fixed broadband network and the number of users which are not connected with the mobile broadband network in the residential communities;
determining a cell type of each residential cell according to the first network information and the second network information of each residential cell, wherein the cell type comprises: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell;
Determining the priority of each residential district according to the district type of each residential district, the user information and the 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 larger than a preset priority threshold.
2. The method according to claim 1, wherein the method further comprises:
determining an optimization strategy of the target optimization cell according to the cell type of each residential cell, wherein the optimization strategy comprises a first strategy and a second strategy;
if the target optimization cell is the first type cell, optimizing the target optimization cell through the first strategy;
and if the target optimization cell is the second type cell, optimizing the target optimization cell through the second strategy.
3. The method according to claim 1 or 2, characterized in that the user information comprises a first type of user information reflecting the number of users in the residential cell that have not accessed the fixed broadband network and a second type of user information reflecting the number of users in the residential cell that have not accessed the mobile broadband network;
Determining the priority of each residential district according to the district type of each residential district, the user information and the preset weight value, wherein the determining comprises the following steps:
determining a target score of each residential district according to the district type of each residential district, the preset weight value of the first-class user information and the preset weight value of the second-class user information;
and determining the priority of each residential district according to the target score of each residential district.
4. A method according to claim 3, wherein the preset weight value is a first weight value or a second weight value, and the first weight value is greater than the second weight value;
if the residential cell is the first-class cell, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value;
if the residential cell is the second-class cell, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
5. The method of claim 4, wherein the first network information comprises: broadband access mode of residential district, passive optical network PON type of optical line terminal OLT of residential district; the broadband access mode of the first type of cell is an optical Fiber To The Home (FTTH) mode, and the passive optical network of the Optical Line Terminal (OLT) of the first type of cell is 10G.
6. An apparatus for determining an optimized cell, the apparatus comprising:
an obtaining unit, configured to obtain first network information, second network information and user information of a plurality of residential cells, where the first network information is used to reflect a fixed broadband network quality of the residential cells, the second network information is used to reflect a mobile broadband network quality of the residential cells, and the user information is used to reflect a number of users in the residential cells that are not connected to the fixed broadband network and a number of users that are not connected to the mobile broadband network;
a determining unit, configured to determine a cell type of each residential cell according to first network information and second network information of the residential cell, where the cell type includes: a first type cell and a second type cell; the fixed broadband network quality of the first type of cell is higher than that of the second type of cell, and the mobile broadband network quality of the second type of cell is higher than that of the first type of cell;
the determining unit is further configured to determine a priority of each residential district according to the district type of each residential district, the user information and a preset weight value, where the priority of each residential district is used to reflect 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.
7. The apparatus of claim 6, wherein the determining unit is further configured to,
determining an optimization strategy of the target optimization cell according to the cell type of each residential cell, wherein the optimization strategy comprises a first strategy and a second strategy;
if the target optimization cell is the first type cell, optimizing the target optimization cell through the first strategy;
and if the target optimization cell is the second type cell, optimizing the target optimization cell through the second strategy.
8. The apparatus according to claim 6 or 7, wherein the user information comprises a first type of user information reflecting the number of users in the residential cell that have not accessed the fixed broadband network and a second type of user information reflecting the number of users in the residential cell that have not accessed the mobile broadband network;
the determining unit is specifically configured to determine a target score of each residential cell according to a cell type of the residential cell, a preset weight value of the first type of user information, and a preset weight value of the second type of user information;
The determining unit is specifically configured to determine the priority of each residential district according to the target score of each residential district.
9. The apparatus of claim 8, wherein the preset weight value is a first weight value or a second weight value, the first weight value being greater than the second weight value;
if the residential cell is the first-class cell, the preset weight value of the first-class user information is the first weight value, and the preset weight value of the second-class user information is the second weight value;
if the residential cell is the second-class cell, the preset weight value of the first-class user information is the second weight value, and the preset weight value of the second-class user information is the first weight value.
10. The apparatus of claim 9, wherein the first network information comprises: broadband access mode of residential district, passive optical network PON type of optical line terminal OLT of residential district; the broadband access mode of the first type of cell is an optical Fiber To The Home (FTTH) mode, and the PON of the OLT of the first type of cell is 10G.
11. 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 1-5.
12. A computer readable storage medium having instructions stored therein, which when executed by a computer, performs the method of any of claims 1-5.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101083575A (en) * | 2006-06-02 | 2007-12-05 | 同济大学 | Distributed speech communication system and network connection method for residential district |
| CN202995448U (en) * | 2013-01-21 | 2013-06-12 | 深圳市旗云智能科技有限公司 | Intelligent community management system based on the Internet of Things |
| CN107534916A (en) * | 2016-04-05 | 2018-01-02 | 华为技术有限公司 | A kind of method for network access and terminal |
| CN109768886A (en) * | 2019-01-03 | 2019-05-17 | 中国联合网络通信集团有限公司 | Network planning evaluation method and device |
| US10813103B1 (en) * | 2019-07-22 | 2020-10-20 | Charter Communications Operating, Llc | Methods and apparatus for reserving and/or utilizing resources in a CBRS network |
| WO2021028425A1 (en) * | 2019-08-15 | 2021-02-18 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Three-component codebook based csi reporting |
| CN112399284A (en) * | 2020-10-22 | 2021-02-23 | 成都中讯创新科技股份有限公司 | Service configuration method of optical network unit |
-
2021
- 2021-09-17 CN CN202111093188.5A patent/CN113938922B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101083575A (en) * | 2006-06-02 | 2007-12-05 | 同济大学 | Distributed speech communication system and network connection method for residential district |
| CN202995448U (en) * | 2013-01-21 | 2013-06-12 | 深圳市旗云智能科技有限公司 | Intelligent community management system based on the Internet of Things |
| CN107534916A (en) * | 2016-04-05 | 2018-01-02 | 华为技术有限公司 | A kind of method for network access and terminal |
| CN109768886A (en) * | 2019-01-03 | 2019-05-17 | 中国联合网络通信集团有限公司 | Network planning evaluation method and device |
| US10813103B1 (en) * | 2019-07-22 | 2020-10-20 | Charter Communications Operating, Llc | Methods and apparatus for reserving and/or utilizing resources in a CBRS network |
| WO2021028425A1 (en) * | 2019-08-15 | 2021-02-18 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Three-component codebook based csi reporting |
| CN112399284A (en) * | 2020-10-22 | 2021-02-23 | 成都中讯创新科技股份有限公司 | Service configuration method of optical network unit |
Non-Patent Citations (4)
| Title |
|---|
| RAN1.RP-171137 "Status Report of WI on New Radio Access Technology * |
| rapporteur: NTT DOCOMO".3GPP tsg_ran\TSG_RAN.2017,(TSGR_76),全文. * |
| 智能小区移动通信网络覆盖优化技术;周培祥;高鹤;郑学汉;张传升;齐保良;;山东建筑大学学报(03);全文 * |
| 移动运营商建设FTTx网络区域价值的评估方法;陈兴华;;中国新通信(21);全文 * |
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