CN109391913B - NB-IoT (NB-IoT) network resource slice management method and system - Google Patents
NB-IoT (NB-IoT) network resource slice management method and system Download PDFInfo
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Abstract
The application provides a method and a system for managing resource slices based on an NB-IoT network, wherein the method comprises the following steps: receiving business data of a government-enterprise client from the outside, and determining a pricing mode according to a communication mode; processing uplink and downlink data and recording communication data of the user equipment; calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client; extracting behavior information of uplink data of the user equipment, and judging whether the user equipment has abnormal behavior; and sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior. According to the method and the system, different network resource slice application scenes of government-enterprise customers are built, different charging strategies are implemented according to the scenes and the applications, NB-IoT network resources can be effectively managed, NB-IoT network quality is improved, business change of the NB-IoT network resources can be flexibly and changeably carried out, and income of telecom operators is improved.
Description
Technical Field
The present application relates to the field of network technologies, and in particular, to a method and a system for managing network resource slices based on NB-IoT.
Background
In order to cope with the connection scenario of the large-scale Internet of Things, a cellular-based narrowband Internet of Things (NB-IoT) network is about to be deployed, which supports cellular data connection of Low-Power devices in a Wide Area network, also called Low Power Wide Area network (LPWA). NB-IoT networks support efficient connections with long standby times and high requirements for network connectivity. But the NB-IoT network does not support network resource slicing functionality. In order to support a flexible and variable business mode under the application of the internet of things for distinguishing different scenes and different guarantee levels, operators urgently need a system for slice management and flexible charging of NB-IoT resources. Although a traditional short message industry gateway supporting the application of the government-enterprise clients has a flow control function for descending the government-enterprise clients, the function only limits the flow rate of the descending short messages of the government-enterprise clients, the ascending and descending flow slice management cannot be carried out on network resources, and a flexible and variable business charging mode cannot be realized.
Disclosure of Invention
The application provides a method and a system for managing resource slices based on an NB-IoT network, which can effectively manage NB-IoT network resources, improve NB-IoT network quality, flexibly and changeably carry out commercial change on the NB-IoT network resources and improve income of telecommunication operators.
The application discloses a method for managing resource slices based on NB-IoT network, which comprises the following steps:
receiving business data of a government-enterprise client from the outside, and determining a pricing mode according to a communication mode;
forwarding uplink data uploaded by user equipment to a corresponding service platform, analyzing downlink data of the service platform, forwarding the downlink data to the corresponding user equipment, and recording communication data of the user equipment;
and calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client.
Preferably, before the step of forwarding the uplink data uploaded by the user equipment to the corresponding service platform, the method further includes:
extracting behavior information of uplink data of user equipment, judging whether the user equipment has abnormal behavior, and if so, generating abnormal behavior data of the user equipment;
and sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior.
Preferably, the receiving business data of the government-enterprise customer from the outside specifically includes:
receiving business data of a government-enterprise client from the outside, wherein the business data comprises a government-enterprise client identifier, a government-enterprise client contact way, a business identifier, a business platform IP address and a business type identifier;
obtaining pricing standard data according to the service type identifier, wherein the pricing standard data comprises: the method comprises the following steps of identifying a service type, a communication mode, whether to move, an area identifier, the maximum number of user equipment in a cell, an uplink flow rate threshold of single user equipment, a downlink flow rate threshold of single user equipment, monthly interruption times, monthly interruption duration, a pricing mode and unit price;
obtaining area data according to the area identifier, wherein the area data comprises: the method comprises the following steps of (1) identifying a located area, a tracking area and a cell;
managing the mobile phone number of the user equipment corresponding to the service identifier;
preferably, the determining a pricing means according to the communication mode specifically includes:
the communication mode comprises a control plane optimization scheme and a user plane optimization scheme, the control plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the number of uplink or downlink data of the user equipment per minute, and the user plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the flow of the uplink or downlink data of the user equipment per second.
Preferably, the forwarding the uplink data uploaded by the user equipment to the corresponding service platform specifically includes:
analyzing uplink data uploaded by user equipment, and extracting a mobile phone number of the user equipment contained in the uplink data;
obtaining a corresponding service platform IP address according to the mobile phone number;
sending the uplink data to a service platform corresponding to the user equipment according to the IP address of the service platform;
preferably, the analyzing the downlink data of the service platform and forwarding the downlink data to the corresponding user equipment specifically includes:
analyzing downlink data of a service platform, and extracting a mobile phone number of user equipment contained in the downlink data;
checking whether the mobile phone number belongs to the mobile phone number contained in the IP address of the service platform: if not, deleting the data corresponding to the mobile phone number from the downlink data;
and sending the downlink data to corresponding user equipment, and caching redundant downlink data if the downlink data exceeds the downlink flow rate threshold of the single user equipment.
Preferably, the extracting the behavior information of the uplink data of the user equipment, determining whether an abnormal behavior occurs in the user equipment, and if the abnormal behavior occurs, generating abnormal behavior data of the user equipment, specifically includes:
extracting behavior information of uplink data of user equipment from a deep packet inspection system, wherein the behavior information comprises a mobile phone number, counting start time, counting end time, uplink data flow, the number of uplink data, a tracking area identifier and a cell identifier;
judging whether the user equipment has abnormal behaviors according to different service modes, wherein the abnormal behaviors comprise that the user equipment moves, the user equipment specified in a certain area appears in other areas, the number of the user equipment in a certain cell exceeds the maximum number of the user equipment in the cell, and/or the uplink data of the user equipment exceeds the uplink data threshold of single user equipment;
if the user equipment has abnormal behavior, generating abnormal behavior data of the user equipment, wherein the abnormal behavior data comprises: the system comprises a client identifier of the government and enterprise, a client contact way of the government and enterprise, a business identifier, an IP address of a business platform, a mobile phone number and abnormal behaviors.
Preferably, the issuing an instruction to stop the communication right of the user equipment to the mobility management node or the user home server corresponding to the user equipment with the abnormal behavior specifically includes:
sending behavior information of uplink data of user equipment with abnormal behaviors to a government-enterprise client to which the user equipment belongs;
and sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior. .
A NB-IoT network resource slice management-based system disclosed herein comprises:
the client data management module is used for receiving service data of a client from the outside and determining a pricing mode according to a communication mode;
the data packet forwarding and flow control module is used for forwarding the uplink data uploaded by the user equipment to the corresponding service platform, analyzing the downlink data of the service platform, forwarding the downlink data to the corresponding user equipment, and recording the communication data of the user equipment;
and the charging module is used for calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client.
Preferably, the system further comprises:
the abnormal detection module is used for extracting behavior information of uplink data of the user equipment, judging whether the user equipment has abnormal behavior or not, and if so, generating abnormal behavior data of the user equipment;
and the instruction issuing module is used for issuing an instruction to a mobile management node or a user home location server corresponding to the user equipment with abnormal behavior to stop the communication authority of the user equipment.
Preferably, the customer data management module specifically includes:
the business data receiving submodule is used for receiving business data of the government-enterprise client from the outside, and the business data comprises a government-enterprise client identifier, a government-enterprise client contact way, a business identifier, a business platform IP address and a business type identifier;
the pricing submodule is used for obtaining pricing standard data according to the service type identifier, and the pricing standard data comprises: the method comprises the following steps of identifying a service type, a communication mode, whether to move, an area identifier, the maximum number of user equipment in a cell, an uplink flow rate threshold of single user equipment, a downlink flow rate threshold of single user equipment, monthly interruption times, monthly interruption duration, a pricing mode and unit price;
the area management submodule is used for obtaining area data according to the area identifier, and the area data comprises: the method comprises the following steps of (1) identifying a located area, a tracking area and a cell;
and the mobile phone number management submodule is used for managing the mobile phone number of the user equipment corresponding to the service identifier.
Preferably, the packet forwarding and flow control module includes an uplink data processing sub-module and a downlink data processing sub-module, and the uplink data processing sub-module specifically includes:
the uplink analysis unit is used for analyzing uplink data uploaded by the user equipment and extracting a mobile phone number of the user equipment contained in the uplink data;
an uplink sending unit, configured to obtain a corresponding service platform IP address according to the mobile phone number, and send the uplink data to a service platform corresponding to the user equipment according to the service platform IP address;
the downlink data processing submodule specifically includes:
a downlink analysis unit, configured to analyze downlink data of a service platform, and extract a mobile phone number of a user equipment included in the downlink data;
a checking unit, configured to check whether the mobile phone number belongs to a mobile phone number included in the service platform IP address: if not, deleting the data corresponding to the mobile phone number from the downlink data;
and the downlink sending unit is used for sending the downlink data to corresponding user equipment, and if the downlink data exceeds the downlink flow rate threshold of the single user equipment, caching redundant downlink data.
Preferably, the abnormality detection module specifically includes:
the behavior information extraction submodule is used for extracting behavior information of uplink data of the user equipment from the deep packet inspection system, and the behavior information comprises a mobile phone number, counting start time, counting end time, uplink data flow, the number of the uplink data, a tracking area identifier and a cell identifier;
the judging submodule is used for judging whether the user equipment has abnormal behaviors according to different service modes, wherein the abnormal behaviors comprise that the user equipment moves, the user equipment specified in a certain area appears in other areas, the number of the user equipment in a certain cell exceeds the maximum number of the user equipment in the cell, and/or the uplink data of the user equipment exceeds the uplink data threshold of single user equipment;
an abnormal behavior data generation submodule, configured to generate abnormal behavior data of the user equipment if the user equipment has an abnormal behavior, where the abnormal behavior data includes: the system comprises a client identifier of the government and enterprise, a client contact way of the government and enterprise, a business identifier, an IP address of a business platform, a mobile phone number and abnormal behaviors.
Preferably, the instruction issuing module specifically includes:
the first sending submodule is used for sending the behavior information of the uplink data of the user equipment with abnormal behavior to the government-enterprise client to which the user equipment belongs;
and the second sending submodule is used for sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior.
Compared with the prior art, the method has the following advantages:
according to the method and the system, different network resource slice application scenes of the government-enterprise clients are constructed by managing the characteristics of the government-enterprise client terminal such as data communication modes of the government-enterprise client terminal, the movement characteristics of the government-enterprise client terminal, the aggregation degree of the region of the government-enterprise client terminal, the communication traffic of the government-enterprise clients in unit time, network guarantee requirements, geographical position distribution and the like, and different charging strategies are implemented aiming at the scenes and the applications. The technical scheme of the invention not only can effectively manage NB-IoT network resources and improve NB-IoT network quality, but also can flexibly and changeably carry out commercial change on the NB-IoT network resources and improve the income of telecommunication operators.
Drawings
Fig. 1 is a flowchart of a first embodiment of a NB-IoT network resource slice management-based method according to the present application;
fig. 2 is a schematic structural diagram of an embodiment of a system for NB-IoT-based network resource slice management according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
In the description of the present application, it is to be understood that the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The meaning of "plurality" is two or more unless specifically limited otherwise.
The terms "comprising," including, "and the like are to be construed as open-ended terms, i.e.," including/including but not limited to. The term "based on" is "based, at least in part, on". The term "an embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment". Relevant definitions for other terms will be given in the following description.
Referring to fig. 1, which shows a flowchart of an embodiment of the NB-IoT network resource slice management-based method according to the present application, a preferred embodiment of the present invention includes the following steps:
step S101: and receiving business data of the government-enterprise client from the outside, and determining a pricing mode according to the communication mode.
The service data may be as shown in table 1:
TABLE 1
| Client identification of government and enterprise | Client contact way of government and enterprise | Business labelSign board | Service platform IP address | Service type identification |
Obtaining pricing standard data according to the service type identifier, where the pricing standard data can be as shown in table 2:
TABLE 2
If the communication mode is a control plane optimization scheme, the unit of uplink flow rate of single User Equipment (UE) and/or downlink flow rate of single UE is bar/min; and if the communication mode is a user plane optimization scheme, the unit of the single-UE uplink flow rate and/or the single-UE downlink flow rate is kb/s.
If the "move if" field in the traffic class is not "no" and the location identity is null, it means that the UE in the traffic class can move in all NB-IoT networks.
The pricing method comprises the following steps: and pricing according to the communication mode and the using amount of each UE, under the condition that the UE does not move, pricing according to the communication mode, the number of the UEs in each cell and the using time length, under the condition that the UE moves, pricing according to the communication mode, the moving range of the UE, the maximum number of the UEs in one cell and the using time length and the like. The definition of unit price may be based on pricing. The pricing method can be flexibly designated, and the application does not limit the specific pricing method.
The fields in the pricing criteria data include, but are not limited to, the fields in table 2. The service type identification, the communication mode, whether to move, the single-UE uplink flow rate threshold and the single-UE downlink flow rate threshold in the pricing standard data form a service mode of the UE.
The area data is obtained according to the area identifier, as shown in table 3:
TABLE 3
| Location area identification | Tracking area identification | Cell identity |
The mobile phone number of the UE corresponding to the service identifier is managed as shown in table 4:
TABLE 4
| Service identification | Mobile phone number |
Step S102: and forwarding the uplink data uploaded by the user equipment to the corresponding service platform, analyzing the downlink data of the service platform, forwarding the downlink data to the corresponding user equipment, and recording the communication data of the user equipment.
Step S102 may be divided into the following sub-steps:
(1) upstream data processing
Analyzing uplink data uploaded by the UE, and extracting a UE mobile phone number contained in the data;
extracting a corresponding service identifier from a table 4 according to the mobile phone number, and extracting a corresponding client identifier of the government enterprise and an IP address of a service platform from a table 1 according to the service identifier;
and forwarding uplink data of the UE to which the government-enterprise customer service belongs to the service platform corresponding to the UE according to the government-enterprise customer identifier and the IP address of the service platform.
(2) Downlink data processing
Analyzing downlink data of a service platform, and extracting a mobile phone number of UE (user equipment) contained in the downlink data;
extracting the data of table 1, table 2 and table 4 to determine that the UE corresponding to the IP address of the service platform is a mobile phone number, and checking whether the downlink data of the service platform exceeds the range of the mobile phone number of the UE to which the downlink data belongs, namely checking whether the mobile phone number extracted from the downlink data does not belong to the range of the mobile phone number corresponding to the IP address of the service platform; and if so, deleting the data corresponding to the mobile phone number from the downlink data. And forwarding the downlink data to a corresponding UE mobile phone number according to the downlink flow control requirement of the table 2, and caching redundant data if the downlink data of the service platform exceeds the flow control requirement of the downlink flow rate threshold of the single-user equipment.
(3) Recording communication data of the UE, wherein the communication data comprises: the mobile phone number, the counting start time, the counting end time, the uplink data flow, the number of uplink data, the downlink data flow, the number of downlink data and the connection duration. As can be seen in table 5:
TABLE 5
Step S103: and calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client.
And calculating cost according to the mobile phone number, the pricing mode, the unit price and the like of the business type identifier, and periodically sending the cost information to the government-enterprise client to which the business type identifier belongs. The cost information may be as shown in table 6:
TABLE 6
| Service identification | Cost of |
Preferably, the method may further include the following step of detecting whether the user equipment is abnormal before step S102:
step a: extracting behavior information of uplink data of the user equipment, and judging whether the user equipment has abnormal behavior: and if so, generating abnormal behavior data of the user equipment.
In specific implementation, behavior information of UE uplink data is extracted from a Deep Packet Inspection (DPI) system, where the behavior information may be as shown in table 7:
TABLE 7
Judging whether the UE has abnormal behaviors according to different service modes, wherein the abnormal behaviors comprise: the fixed UE has a mobile behavior, namely the mobile phone number of the UE appears in different tracking areas and cells; the UE in a certain area is specified to appear in other areas, namely, the area identification of the mobile phone number of the UE, which is obtained by associating tables 2, 3, 4 and 6, has errors; the number of UEs in a certain cell exceeds the maximum number of UEs in the cell in table 2; and the uplink data of a certain UE exceeds the uplink flow rate threshold value of a single UE, and the like.
If the UE has abnormal behavior, generating abnormal behavior data of the UE, where the abnormal behavior data may be as shown in table 8:
TABLE 8
| Client identification of government and enterprise | Client contact way of government and enterprise | Service identification | Service platform IP address | Mobile phone number | Abnormal behavior |
Step b: and issuing an instruction to stop the communication authority of the user equipment to a Mobility Management Entity (MME) or a Home Subscriber Server (HSS) corresponding to the user equipment with abnormal behavior.
In specific implementation, sending the behavior information of uplink data of the UE with abnormal behavior, namely the data in the table 7, to a government-enterprise client to which the UE belongs;
and sending an instruction to stop the communication authority of the UE to a mobile management node or a user home server corresponding to the UE with abnormal behavior.
That is, if the UE is abnormal, the communication right of the abnormal UE is limited, and the uplink data of the UE will not be used as the basis for charging in the subsequent steps.
For simplicity of description, the foregoing method embodiments are described as a series of acts or combination of acts, but those skilled in the art will appreciate that the present application is not limited by the order of acts described, as some steps may, in accordance with the present application, occur in other orders and concurrently; further, those skilled in the art should also appreciate that the above-described method embodiments are preferred embodiments and that the acts and modules involved are not necessarily required for the application.
Referring to fig. 2, a schematic structural diagram of an embodiment of the NB-IoT network resource slice management-based system according to the present application is shown, including:
a client data management module 21, configured to receive service data of a client from the outside, and determine a pricing method according to a communication mode;
the data packet forwarding and flow control module 22 is configured to forward uplink data uploaded by the user equipment to a corresponding service platform, analyze downlink data of the service platform, forward the downlink data to the corresponding user equipment, and record communication data of the user equipment;
the charging module 23 is used for calculating the charge according to the pricing mode and sending the charge information to the corresponding government-enterprise client;
preferably, the system further comprises: the anomaly detection module 24 is configured to extract behavior information of uplink data of the user equipment, and determine whether the user equipment has an abnormal behavior: if so, generating abnormal behavior data of the user equipment;
and the instruction issuing module 25 is configured to issue an instruction to stop the communication permission of the user equipment to a mobility management node or a user home server corresponding to the user equipment with the abnormal behavior.
The client data management module 21 specifically includes:
the business data receiving submodule is used for receiving business data of government-enterprise customers from the outside, and the business data are shown in a table 1;
the pricing submodule is used for obtaining pricing standard data according to the service type identification, and the pricing standard data are shown in a table 2;
the area management submodule is used for obtaining area data according to the area identifier, and the area data are shown in a table 3;
and the mobile phone number management submodule is used for managing the mobile phone number of the UE corresponding to the service identifier, and is shown in table 4.
The client data management module 21 sends the data in table 2 and table 4 to the charging module 23, sends the data in table 1, table 2 and table 4 to the packet forwarding and flow control module 22, and sends the data in table 1, table 2 and table 4 to the anomaly detection module 24.
The data packet forwarding and flow control module 22 includes an uplink data processing sub-module, a downlink data processing sub-module, and a recording sub-module.
The uplink data processing submodule comprises:
the uplink analysis unit is used for analyzing uplink data uploaded by the UE and extracting the mobile phone number of the UE contained in the uplink data;
and the uplink sending unit is used for obtaining a corresponding service platform IP address according to the mobile phone number and sending the uplink data to a service platform corresponding to the UE according to the service platform IP address.
The downlink data processing submodule comprises:
a downlink analysis unit, configured to analyze downlink data of a service platform, and extract a mobile phone number of the UE included in the downlink data;
a checking unit, configured to check whether the mobile phone number belongs to a mobile phone number included in the service platform IP address: if not, deleting the data corresponding to the mobile phone number from the downlink data;
and the downlink sending unit is used for sending the downlink data to the corresponding UE, and if the downlink data exceeds the single-UE downlink flow rate threshold, caching redundant downlink data.
The recording sub-module is configured to record communication data of the UE, where the communication data may be as shown in table 5.
The packet forwarding and flow control module 22 sends the table 5 data to the charging module 23.
The charging module 23 is configured to calculate charges according to the mobile phone number, the pricing method, the unit price, and the like to which the service type identifier belongs, and periodically send the charge information to the government-enterprise client to which the service type identifier belongs. The fee information may be as shown in table 6.
The anomaly detection module 24 specifically includes:
a behavior information extraction submodule, configured to extract behavior information of UE uplink data from the deep packet inspection system, where the behavior information may be shown in table 7;
a judging submodule, configured to judge whether an abnormal behavior occurs in the UE according to a difference in a service mode, where the abnormal behavior includes: the fixed UE has a mobile behavior, namely the mobile phone number of the UE appears in different tracking areas and/or cells; the UE in a certain area is specified to appear in other areas, namely, the area identification of the mobile phone number of the UE, which is obtained by associating tables 2, 3, 4 and 6, has errors; the number of UEs in a certain cell exceeds the maximum number of UEs in the cell in table 2; and the uplink data of a certain UE exceeds the uplink flow rate threshold value of a single UE, and the like.
And the abnormal behavior data generation submodule is used for generating the abnormal behavior data of the UE if the UE has abnormal behaviors, and the abnormal behavior data can be shown as data in a table 8.
The anomaly detection module 24 sends the table 8 data to the instruction issuing module 25.
The instruction issuing module 25 specifically includes:
the first sending submodule is used for sending the behavior information of the uplink data of the UE with abnormal behaviors to a government-enterprise client to which the UE belongs;
and the second sending submodule is used for issuing an instruction to the MME or HSS corresponding to the UE with abnormal behavior according to the UE mobile phone number in the table 8 to stop the communication authority of the UE.
The following describes the working process of the NB-IoT network downlink traffic control-based system according to the present application with reference to specific example data.
A telecommunications operator has four internet of things services belonging to two government-enterprise customers: a government enterprise client 1 and a government enterprise client 2.
And the business UE of the business A of the government-enterprise client 1 is fixed in remote mountainous areas, and a control surface optimization scheme is used, wherein the uplink flow rate threshold of the UE is 1/15 min, and the downlink flow rate threshold is 3/min. The business pricing mode is charging according to UE charging and using duration, and the unit price is 20 yuan per UE hour.
And the business UE of the business B of the government-enterprise client 1 can move at will, and the uplink/downlink flow rate threshold of the UE is 1Mb/s by using a user plane optimization scheme. The business pricing mode is charging according to the uplink and downlink traffic of the UE, and the unit price is 10 Yuan/kb.
The service UE of the service C of the government-enterprise client 2 is fixed in a certain cell in a centralized mode, a control plane optimization scheme is used, the uplink flow rate threshold of the UE is 1/15 min, the downlink flow rate threshold is 3/min, and the maximum number of the UE in a single cell is 150. The business pricing mode is to charge according to the number of the aggregated cells and the use duration, and the unit price per cell is 200000 yuan per hour.
The business UE of business D of the government and enterprise client 2 can only move on a certain expressway, and the uplink/downlink flow rate threshold of the UE is 2Mb/s by using a user plane optimization scheme. The business pricing mode is charging according to the uplink and downlink flow of the UE, and the unit price is 5 yuan/kb.
And the client data management module receives business data of the government-enterprise client from the outside and manages pricing standard data, area data and mobile phone number data.
TABLE 1-1
TABLE 2-1
TABLE 3-1
TABLE 4-1
| Service identification | Mobile phone number |
| Service A | 1891XXXXXXX |
| Service A | 1891YYYYYYY |
| …… | …… |
| Service B | 1892XXXXXXX |
| Service B | 1892XXXXXXX |
| …… | …… |
| Service C | 1893XXXXXXX |
| Service C | 1893XXXXXXX |
| …… | …… |
| Service D | 1894XXXXXXX |
| Service D | 1894XXXXXXX |
| …… | …… |
The client data management module sends the data of the table 2-1 and the table 4-1 to the charging module, sends the data of the table 1-1, the table 2-1 and the table 4-1 to the data packet forwarding and flow control module, and sends the data of the table 1-1, the table 2-1 and the table 4-1 to the abnormality detection module.
The data packet forwarding and flow control module realizes the following functions:
1. upstream processing
Analyzing uplink data uploaded by UE, and extracting a UE mobile phone number in the uplink data;
extracting a service identifier from the table 4-1 according to the number, and extracting IP addresses of the affiliated government-enterprise client and the service platform from the table 1-1 according to the service identifier;
and forwarding the uplink data of the UE to which the government-enterprise customer service belongs to the corresponding service platform.
2. Downlink processing
Analyzing downlink data of a service platform, and extracting a UE mobile phone number contained in the downlink data;
extracting the UE mobile phone number corresponding to the IP address of the service platform according to the data in the tables 1-1, 2-1 and 4-1, and checking whether the downlink data of the service platform exceeds the range of the UE mobile phone number to which the service platform belongs: if so, deleting the data corresponding to the UE mobile phone number from the downlink data;
and forwarding the data to the corresponding UE mobile phone number according to the downlink flow control requirement of the table 2-1. And if the downlink data of the service platform exceeds the flow control requirement, caching redundant data.
3. Recording communication data of the UE, as shown in the table 5-1:
TABLE 5-1
And the data packet forwarding and flow control module sends the data in the table 5-1 to the charging module.
And the charging module calculates the cost according to the mobile phone number to which the service belongs, the pricing mode of the service and the unit price, and calculates the cost.
By statistics, business a of government-enterprise client 1 has 1000 UEs, and each UE is online for 744 hours in 2016, 12 months, so the cost of business a of government-enterprise client 1 is 20 × 1000 × 744 ═ 14880000 yuan.
By statistics, the traffic of all the UEs in 2016 and 12 months is 100Gb, the cost of the service B of the government-enterprise client 1 is 10 × 100 × 1024 × 1048576000 yuan
The billing module sends an email to the client 1@163.com informing the client 1 that the charge for month 12 of 2016 was:
TABLE 6-government Enterprise client 1
| Service identification | Cost of |
| Service A | 14880000 |
| Service B | 1048576000 |
Through statistics, the business UE of the business C of the government-enterprise client 2 is concentrated in 3 cells, and each cell UE is online for 744 hours in 12 months in 2016, so that the cost of the business C of the government-enterprise client 2 is 446400000 yuan.
By statistics, the traffic of all UEs in 2016 and 12 months is 100Gb in service D of the government-enterprise client 2, and the cost of service B of the government-enterprise client 1 is 5 × 100 × 1024 × 524288000 yuan.
The billing module sends an email to the client 2@163.com informing the client 2 of the charge for month 12 in 2016:
TABLE 6-government Enterprise client 2
| Service identification | Cost of |
| Service C | 446400000 |
| Service D | 524288000 |
The anomaly detection module extracts the behavior information of the uplink data of the UE from the DPI system, as shown in the table 7-1:
TABLE 7-1
And the abnormity detection module judges the abnormal behavior of the UE according to the difference of the service modes.
1891YYYYYYY belonging to the government client 1, should be fixed in the area 1A, and the presence of the tracking area 1C1 and the cell 1C11 would mean that the movement occurred and the UE is abnormal.
The abnormal detection module generates the abnormal UE cell phone number 1891yyyyyy and its abnormal behavior data, as shown in table 8-1:
TABLE 8-1
And the abnormity detection module sends the data of the table 8-1 to the instruction issuing module.
The instruction issuing module is used for issuing instructions according to the UE numbers in the table 8: 1891yyyyyy, issues an instruction to stop the communication authority of the UEs to the corresponding MME or HSS, and sends the table 7-1 data to the government enterprise client 1@163. com.
It should be noted that the above system embodiments belong to preferred embodiments, and the units and modules involved are not necessarily essential to the present application.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system embodiments of the present application, since they are substantially similar to the method embodiments, the description is simple, and for the relevant points, reference may be made to part of the description of the method embodiments.
The NB-IoT network resource slice management-based method and system provided by the present application are introduced in detail above, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (12)
1. A method for NB-IoT based network resource slice management, the method comprising:
receiving business data of a government-enterprise client from the outside, and determining a pricing mode according to a communication mode, wherein the determining of the pricing mode according to the communication mode specifically comprises the following steps: the communication mode comprises a control plane optimization scheme and a user plane optimization scheme, the control plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the number of uplink or downlink data per minute of the user equipment, and the user plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the flow of the uplink or downlink data per second of the user equipment;
forwarding uplink data uploaded by user equipment to a corresponding service platform, analyzing downlink data of the service platform, forwarding the downlink data to the corresponding user equipment, and recording communication data of the user equipment;
and calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client.
2. The method according to claim 1, wherein before the step of forwarding the uplink data uploaded by the user equipment to the corresponding service platform, the method further comprises:
extracting behavior information of uplink data of user equipment, judging whether the user equipment has abnormal behavior, and if so, generating abnormal behavior data of the user equipment;
and sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior.
3. The method according to claim 2, wherein the receiving business data of the government-enterprise customer from the outside specifically comprises:
receiving business data of a government-enterprise client from the outside, wherein the business data comprises a government-enterprise client identifier, a government-enterprise client contact way, a business identifier, a business platform IP address and a business type identifier;
obtaining pricing standard data according to the service type identifier, wherein the pricing standard data comprises: the method comprises the following steps of identifying a service type, a communication mode, whether to move, an area identifier, the maximum number of user equipment in a cell, an uplink flow rate threshold of single user equipment, a downlink flow rate threshold of single user equipment, monthly interruption times, monthly interruption duration, a pricing mode and unit price;
obtaining area data according to the area identifier, wherein the area data comprises: the method comprises the following steps of (1) identifying a located area, a tracking area and a cell;
and managing the mobile phone number of the user equipment corresponding to the service identifier.
4. The method according to claim 3, wherein the forwarding the uplink data uploaded by the user equipment to the corresponding service platform specifically includes:
analyzing uplink data uploaded by user equipment, and extracting a mobile phone number of the user equipment contained in the uplink data;
obtaining a corresponding service platform IP address according to the mobile phone number;
sending the uplink data to a service platform corresponding to the user equipment according to the IP address of the service platform;
the analyzing the downlink data of the service platform and forwarding the downlink data to the corresponding user equipment specifically includes:
analyzing downlink data of a service platform, and extracting a mobile phone number of user equipment contained in the downlink data;
checking whether the mobile phone number belongs to the mobile phone number contained in the IP address of the service platform: if not, deleting the data corresponding to the mobile phone number from the downlink data;
and sending the downlink data to corresponding user equipment, and caching redundant downlink data if the downlink data exceeds the downlink flow rate threshold of the single user equipment.
5. The method according to claim 3, wherein the extracting behavior information of uplink data of the user equipment, determining whether abnormal behavior occurs in the user equipment, and if so, generating abnormal behavior data of the user equipment, specifically includes:
extracting behavior information of uplink data of user equipment from a deep packet inspection system, wherein the behavior information comprises a mobile phone number, counting start time, counting end time, uplink data flow, the number of uplink data, a tracking area identifier and a cell identifier;
judging whether the user equipment has abnormal behaviors according to different service modes, wherein the abnormal behaviors comprise that the user equipment moves, the user equipment specified in a certain area appears in other areas, the number of the user equipment in a certain cell exceeds the maximum number of the user equipment in the cell, and/or the uplink data of the user equipment exceeds the uplink data threshold of single user equipment;
if the user equipment has abnormal behavior, generating abnormal behavior data of the user equipment, wherein the abnormal behavior data comprises: the system comprises a client identifier of the government and enterprise, a client contact way of the government and enterprise, a business identifier, an IP address of a business platform, a mobile phone number and abnormal behaviors.
6. The method according to claim 5, wherein the issuing of the instruction to stop the communication right of the user equipment to the mobility management node or the user home server corresponding to the user equipment with the abnormal behavior specifically includes:
sending behavior information of uplink data of user equipment with abnormal behaviors to a government-enterprise client to which the user equipment belongs;
and sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior.
7. A system for NB-IoT network resource slice management, the system comprising:
the client data management module is used for receiving service data of a client from the outside and determining a pricing mode according to a communication mode, wherein the determining of the pricing mode according to the communication mode specifically comprises the following steps: the communication mode comprises a control plane optimization scheme and a user plane optimization scheme, the control plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the number of uplink or downlink data per minute of the user equipment, and the user plane optimization scheme limits the uplink flow rate of the single-user equipment and/or the downlink flow rate of the single-user equipment to the flow of the uplink or downlink data per second of the user equipment;
the data packet forwarding and flow control module is used for forwarding the uplink data uploaded by the user equipment to the corresponding service platform, analyzing the downlink data of the service platform, forwarding the downlink data to the corresponding user equipment, and recording the communication data of the user equipment;
and the charging module is used for calculating the cost according to the pricing mode and sending the cost information to the corresponding government-enterprise client.
8. The system of claim 7, further comprising:
the abnormal detection module is used for extracting behavior information of uplink data of the user equipment, judging whether the user equipment has abnormal behavior or not, and if so, generating abnormal behavior data of the user equipment;
and the instruction issuing module is used for issuing an instruction to a mobile management node or a user home location server corresponding to the user equipment with abnormal behavior to stop the communication authority of the user equipment.
9. The system of claim 8, wherein the customer data management module specifically comprises:
the business data receiving submodule is used for receiving business data of the government-enterprise client from the outside, and the business data comprises a government-enterprise client identifier, a government-enterprise client contact way, a business identifier, a business platform IP address and a business type identifier;
the pricing submodule is used for obtaining pricing standard data according to the service type identifier, and the pricing standard data comprises: the method comprises the following steps of identifying a service type, a communication mode, whether to move, an area identifier, the maximum number of user equipment in a cell, an uplink flow rate threshold of single user equipment, a downlink flow rate threshold of single user equipment, monthly interruption times, monthly interruption duration, a pricing mode and unit price;
the area management submodule is used for obtaining area data according to the area identifier, and the area data comprises: the method comprises the following steps of (1) identifying a located area, a tracking area and a cell;
and the mobile phone number management submodule is used for managing the mobile phone number of the user equipment corresponding to the service identifier.
10. The system according to claim 9, wherein the packet forwarding and flow control module includes an uplink data processing sub-module and a downlink data processing sub-module, and the uplink data processing sub-module specifically includes:
the uplink analysis unit is used for analyzing uplink data uploaded by the user equipment and extracting a mobile phone number of the user equipment contained in the uplink data;
an uplink sending unit, configured to obtain a corresponding service platform IP address according to the mobile phone number, and send the uplink data to a service platform corresponding to the user equipment according to the service platform IP address;
the downlink data processing submodule specifically includes:
a downlink analysis unit, configured to analyze downlink data of a service platform, and extract a mobile phone number of a user equipment included in the downlink data;
a checking unit, configured to check whether the mobile phone number belongs to a mobile phone number included in the service platform IP address: if not, deleting the data corresponding to the mobile phone number from the downlink data;
and the downlink sending unit is used for sending the downlink data to corresponding user equipment, and if the downlink data exceeds the downlink flow rate threshold of the single user equipment, caching redundant downlink data.
11. The system according to claim 8, wherein the anomaly detection module specifically includes:
the behavior information extraction submodule is used for extracting behavior information of uplink data of the user equipment from the deep packet inspection system, and the behavior information comprises a mobile phone number, counting start time, counting end time, uplink data flow, the number of the uplink data, a tracking area identifier and a cell identifier;
the judging submodule is used for judging whether the user equipment has abnormal behaviors according to different service modes, wherein the abnormal behaviors comprise that the user equipment moves, the user equipment specified in a certain area appears in other areas, the number of the user equipment in a certain cell exceeds the maximum number of the user equipment in the cell, and/or the uplink data of the user equipment exceeds the uplink data threshold of single user equipment;
an abnormal behavior data generation submodule, configured to generate abnormal behavior data of the user equipment if the user equipment has an abnormal behavior, where the abnormal behavior data includes: the system comprises a client identifier of the government and enterprise, a client contact way of the government and enterprise, a business identifier, an IP address of a business platform, a mobile phone number and abnormal behaviors.
12. The system according to claim 11, wherein the instruction issuing module specifically includes:
the first sending submodule is used for sending the behavior information of the uplink data of the user equipment with abnormal behavior to the government-enterprise client to which the user equipment belongs;
and the second sending submodule is used for sending an instruction to stop the communication authority of the user equipment to a mobile management node or a user home server corresponding to the user equipment with abnormal behavior.
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