CN109936829B - Method, system and charging system for improving network disconnection precision - Google Patents
Method, system and charging system for improving network disconnection precision Download PDFInfo
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Abstract
The invention discloses a method, a system and a charging system for improving the accuracy of network disconnection, and relates to the field of flow charging. The method comprises the following steps: determining a service data traffic accumulated value according to the ticket data; when the difference between the network disconnection threshold value and the traffic data traffic accumulated value is smaller than a preset traffic value, triggering a traffic probe module to monitor the traffic data traffic in real time; and when the traffic data traffic accumulated value sent by the traffic probe module reaches a network disconnection threshold value, triggering the PCRF to notify the PGW of network disconnection of the traffic data traffic. The method and the device can improve the control precision of post-payment amount network interruption without changing the existing networking mode and the processing load of the network element of the core network.
Description
Technical Field
The present disclosure relates to the field of traffic charging, and in particular, to a method, a system, and a charging system for improving network outage accuracy.
Background
The terminal of the internet of things uses the mobile communication number for wireless communication, and communication fees are paid by a terminal manufacturer instead of an individual user in some scenarios. Thus, in such scenarios, the customer may wish to have precise control over the use of data traffic and limit the card's data access when and when the traffic reaches a threshold.
With the improvement of the wireless communication speed, because of the accumulated time delay of the call ticket, the accuracy of the network disconnection control is greatly deviated due to the volume-reaching network disconnection control realized based on the call ticket accumulation alone, and the requirements of customers are difficult to meet.
Disclosure of Invention
The technical problem to be solved by the present disclosure is to provide a method, a system and a charging system for improving the accuracy of network disconnection, which can improve the control accuracy of network disconnection.
According to an aspect of the present disclosure, a method for improving accuracy of a broken network is provided, including: determining a service data traffic accumulated value according to the ticket data; when the difference between the network disconnection threshold value and the traffic data traffic accumulated value is smaller than a preset traffic value, triggering a traffic probe module to monitor the traffic data traffic in real time; when the traffic data traffic accumulated value sent by the traffic probe module reaches the network disconnection threshold value, the PCRF is triggered to notify the PGW of the disconnection of the traffic data traffic.
Optionally, the method further comprises: determining whether the user number uses the service data for the first time based on the call ticket data; if the user number uses the service data for the first time, determining a flow value Y x T in a unit time length T of a ticket generated in the PCRF according to the current maximum flow rate Y of the network; and if the difference between the network disconnection threshold value and the traffic data traffic accumulated value is less than Y x T, triggering the traffic probe module to monitor the traffic data traffic in real time.
Optionally, if the user number does not use the service data for the first time, determining a flow value K X T of a predetermined multiple K within a unit time length T of a ticket generated in the PCRF according to the network historical flow average rate X; and if the difference between the network disconnection threshold value and the traffic data flow accumulated value is less than K X T, triggering the flow probe module to monitor the traffic data flow in real time.
Optionally, the method further comprises: and if the difference between the network-breaking threshold value and the accumulated value of the business data flow is smaller than the smaller value of the Y T and the K X T, triggering the flow probe module to monitor the business data flow in real time.
According to another aspect of the present disclosure, a charging system is further provided, including: a traffic value determining unit, configured to determine a traffic data traffic cumulative value according to the ticket data; the probe triggering unit is used for triggering the flow probe module to monitor the traffic data flow in real time when the difference between the network disconnection threshold value and the traffic data flow accumulated value is smaller than a preset flow value; and the network disconnection triggering unit is used for triggering the policy and charging rule function unit PCRF to inform the public data network gateway PGW of network disconnection of the service data traffic when the traffic data traffic accumulated value sent by the traffic probe module reaches the network disconnection threshold value.
Optionally, the charging system further includes: a first use judging unit for determining whether the user number uses the service data for the first time based on the ticket data; a generated ticket flow determining unit, configured to determine a flow value Y × T in a unit time length T of a ticket generated in the PCRF according to a current maximum flow rate Y of the network if the user number uses the service data for the first time; the probe triggering unit is also used for triggering the flow probe module to monitor the traffic data flow in real time if the difference between the network disconnection threshold value and the traffic data flow accumulated value is less than Y x T.
Optionally, the generated ticket traffic determining unit is further configured to determine, if the user number does not use the service data for the first time, a traffic value K X T of a predetermined multiple K within a unit time T of the generated ticket in the PCRF according to the network historical traffic average rate X; the probe triggering unit is also used for triggering the flow probe module to monitor the traffic data flow in real time if the difference between the network breaking threshold value and the traffic data flow accumulated value is less than K X T.
Optionally, the probe triggering unit is further configured to trigger the flow probe module to monitor the traffic data flow in real time if a difference between the network outage threshold and the traffic data flow accumulated value is smaller than a smaller value of Y × T and K × X × T.
According to another aspect of the present disclosure, a system for improving accuracy of network disconnection is further provided, including a flow probe module, a policy and charging rule function unit PCRF, a public data network gateway PGW, and the charging system, where the flow probe module is configured to monitor traffic data flow in real time after receiving a request from the charging system, and notify the charging system when an accumulated value of the traffic data flow reaches a network disconnection threshold, so that the charging system triggers the PCRF to notify the PGW of network disconnection of the traffic data flow.
According to another aspect of the present disclosure, a charging system is further provided, including: a memory; and a processor coupled to the memory, the processor configured to perform the method as described above based on instructions stored in the memory.
According to another aspect of the present disclosure, a computer-readable storage medium is also proposed, on which computer program instructions are stored, which instructions, when executed by a processor, implement the steps of the above-described method.
The charging system triggers the flow probe module to monitor the service data flow in real time when monitoring that the difference between the network breaking threshold and the service data flow accumulated value is smaller than the preset flow value, and triggers the PCRF to notify the PGW of the network breaking of the service data flow when receiving that the service data flow accumulated value sent by the flow probe module reaches the network breaking threshold, so that the control precision of the network breaking of the post-paid payment amount can be improved under the condition of not changing the existing networking mode and the processing load of the network element of the core network.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
fig. 1 is a schematic flow chart of an embodiment of a method for improving accuracy of a broken network according to the present disclosure.
Fig. 2 is a schematic flow chart of another embodiment of the method for improving the accuracy of the broken network according to the present disclosure.
Fig. 3 is a schematic flow chart of a method for improving the accuracy of a broken network according to an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an embodiment of the charging system of the present disclosure.
Fig. 5 is a schematic structural diagram of another embodiment of the charging system of the present disclosure.
Fig. 6 is a schematic structural diagram of an embodiment of the system for improving the accuracy of the broken network according to the present disclosure.
Fig. 7 is a schematic structural diagram of a charging system according to another embodiment of the present disclosure.
Fig. 8 is a schematic structural diagram of a charging system according to still another embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
Fig. 1 is a flowchart illustrating an embodiment of a method for improving network outage accuracy according to the present disclosure, where the step is performed by a charging system.
In step 110, the traffic data traffic accumulation value is determined according to the ticket data. After a call ticket is generated by a PGW (public data network GateWay)/PCEF (Policy and Charging Enforcement Function) according to a Policy Control and Charging (PCC) rule, the call ticket data is sent to a Charging system, and the Charging system dynamically judges the traffic accumulation condition of the service data according to the call ticket data.
In step 120, when the difference between the network outage threshold and the traffic data traffic accumulated value is smaller than the predetermined traffic value, the traffic probe module is triggered to monitor the traffic data traffic in real time. That is, when the traffic data traffic accumulated value is close to the preset network disconnection threshold, the charging system triggers the traffic probe module, and the traffic probe module monitors the traffic data traffic in real time, for example, the network disconnection threshold is 100 Byte, and at this time, the traffic data traffic accumulated value is 80Byte, and then the traffic probe module is triggered when the traffic data traffic accumulated value is close to the network disconnection threshold, where the traffic probe module can implement short-time high-precision traffic statistics.
In step 130, when the traffic data traffic accumulated value sent by the traffic probe module reaches the network outage threshold value, a PCRF (Policy and Charging Rules Function) is triggered to notify the PGW of network outage for the traffic data traffic. For example, when the traffic probe module detects that the traffic data uses 20 bytes again, which indicates that the traffic data traffic reaches the network disconnection threshold, the PCRF is triggered to notify the P-GW of network disconnection of the traffic data stream.
In the embodiment, on the basis of the original charging, the flow probe technology is introduced, so that the control precision of post-payment traffic interruption can be improved under the condition of not changing the existing networking mode and the processing load of the network element of the core network.
Fig. 2 is a schematic flow chart of another embodiment of the method for improving the accuracy of the broken network according to the present disclosure.
In step 210, a traffic data traffic accumulation value is determined according to the ticket data.
In step 220, it is determined whether the user number uses the service data for the first time based on the ticket data, if yes, step 230 is executed, otherwise, step 250 is executed.
In step 230, a traffic value Y x T in a unit time length of a ticket generated in the PCRF according to the current maximum traffic rate of the network is determined, where Y is the current maximum traffic rate of the network and is in the unit of Byte/s, and T is a default time length of the current ticket generated by the PCRF and is in the unit of s.
In step 240, if the difference between the network outage threshold and the traffic data traffic accumulated value is less than Y × T, the traffic probe module is triggered to monitor the traffic data traffic in real time. The traffic probe module is triggered when A-B < Y x T, wherein the network breaking threshold of a certain service used by a user number is A, the unit is Byte, the accumulated data traffic is B after the user number uses the previous ticket of the service and the unit is Byte.
In step 250, a traffic value K X T of a predetermined multiple within a unit time length of a ticket generated in the PCRF according to the network historical traffic average rate is determined, where K is a multiple, for example, 2, X is the historical traffic average rate at which the subscriber number uses the service, and is a unit of Byte/s, and X is obtained, for example, by dividing the historical cumulative used traffic by the historical cumulative network-surfing time length.
In step 260, if the difference between the outage threshold and the accumulated value of the traffic data flow is less than K X T, the traffic probe module is triggered to monitor the traffic data flow in real time. For example, at a-B <2X T, the flow probe module is triggered.
In another embodiment of the present disclosure, the billing system may further compare the magnitudes of Y X T and K X T, and trigger the traffic probe module when the difference between the outage threshold and the traffic data traffic accumulation value is smaller than the smaller of the two.
In step 270, when the traffic data traffic accumulated value sent by the traffic probe module reaches the network disconnection threshold value, the PCRF is triggered to notify the PGW of network disconnection of the traffic data traffic.
In this embodiment, the charging system determines when to start the traffic probe module by adopting different algorithms according to whether the user number uses a certain service for the first time, and then the traffic probe module monitors the traffic data traffic in real time, and when the traffic data traffic accumulated value reaches the network disconnection threshold, the PCRF is triggered to notify the PGW of network disconnection of the traffic data traffic, so as to realize accurate control of network disconnection.
Fig. 3 is a schematic flowchart of a specific embodiment of the method for improving the accuracy of network disconnection according to the present disclosure, and an offline charging system is taken as an example for description.
In step 310, the PGW/PCEF receives a request to establish an IP-CAN (Connectivity Access Network) session.
In step 320, the PGW/PCEF sends an IP-CAN session establishment indication to the PCRF.
In step 330, the PCRF returns an IP-CAN session establishment confirmation message to the PGW/PCEF, where the generated traffic ticket granularity is a default value.
In step 340, the PGW/PCEF sends an establish IP-CAN session response.
In step 350, the PGW/PCEF generates a ticket according to a default PCC rule, and sends the ticket to an OFCS (Offline Charging System).
In step 360, the OFCS dynamically determines the service data accumulation condition.
In step 370, when the traffic data traffic accumulated value approaches the preset network outage threshold value, the OFCS notifies the traffic probe module to perform traffic monitoring on the traffic.
In step 380, the traffic probe module monitors traffic in near real-time.
In step 390, the traffic probe module notifies OFCS when it is determined that the traffic data reaches the network outage threshold.
In step 3100, the OFCS notifies the PCRF of the network outage to the IP-CAN through the Sy interface.
In step 3110, PCRF informs PGW of the IP-CAN disconnection.
In this embodiment, when the traffic data traffic accumulation approaches the preset traffic outage threshold, the offline charging system notifies the traffic probe module to enable quasi-real-time traffic monitoring of the traffic. When the traffic probe module detects that the service data reaches the network disconnection threshold value, the PCRF is triggered to notify the PGW of network disconnection of the service data stream. The method can realize accurate control of offline charging threshold network disconnection by means of a flow probe technology on the basis of not changing a networking structure and not increasing the PGW load of the existing core network element.
Fig. 4 is a schematic structural diagram of an embodiment of the charging system of the present disclosure. The charging system comprises a flow value determining unit 410, a probe triggering unit 420 and a network disconnection triggering unit 430, wherein:
the traffic value determining unit 410 is configured to determine a traffic data traffic cumulative value according to the ticket data.
The probe triggering unit 420 is configured to trigger the flow probe module to monitor the traffic data flow in real time when a difference between the network outage threshold and the traffic data flow accumulated value is smaller than a predetermined flow value. That is, when the traffic data traffic accumulated value approaches the preset network outage threshold, the probe triggering unit 420 triggers the traffic probe module, and the traffic probe module monitors the traffic data traffic in real time.
The network outage triggering unit 430 is configured to trigger the PCRF to notify the PGW of network outage of the service data traffic when the traffic data traffic accumulated value sent by the traffic probe module reaches the network outage threshold.
In the embodiment, on the basis of the original charging, the flow probe technology is introduced, so that the control precision of post-payment traffic interruption can be improved under the condition of not changing the existing networking mode and the processing load of the network element of the core network.
Fig. 5 is a schematic structural diagram of another embodiment of the charging system of the present disclosure. The charging system comprises a flow value determining unit 510, a first use judging unit 520, a generated ticket flow determining unit 530, a probe triggering unit 540 and a network disconnection triggering unit 550, wherein:
the traffic value determining unit 510 is configured to determine a traffic data traffic cumulative value according to the ticket data.
The first use judging unit 520 is configured to determine whether the subscriber number uses the service data for the first time based on the ticket data.
The generated ticket traffic determining unit 530 is configured to determine a traffic value Y X T within a unit time T of generating a ticket in the PCRF according to a current maximum traffic rate Y of the network if the subscriber number uses the service data for the first time, and determine a traffic value K X T of a predetermined multiple K within the unit time T of generating the ticket in the PCRF according to an average traffic rate X of the network history if the subscriber number does not use the service data for the first time.
The probe triggering unit 540 is configured to trigger the flow probe module to monitor the traffic data flow in real time if a difference between the network outage threshold and the traffic data flow accumulated value is less than Y × T or if a difference between the network outage threshold and the traffic data flow accumulated value is less than K × X × T.
In one embodiment, the probe triggering unit 540 is further configured to trigger the flow probe module to monitor the traffic data flow in real time if the difference between the outage threshold and the traffic data flow cumulative value is smaller than the smaller of Y × T and K × X × T.
The network outage triggering unit 550 is configured to trigger the PCRF to notify the PGW of network outage of the service data traffic when the traffic data traffic accumulated value sent by the traffic probe module reaches the network outage threshold.
In this embodiment, the charging system determines when to start the traffic probe module by adopting different algorithms according to whether the user number uses a certain service for the first time, and then the traffic probe module monitors the traffic data traffic in real time, and when the traffic data traffic accumulated value reaches the network disconnection threshold, the PCRF is triggered to notify the PGW of network disconnection of the traffic data traffic, so as to realize accurate control of network disconnection.
Fig. 6 is a schematic structural diagram of an embodiment of the system for improving the accuracy of the broken network according to the present disclosure. The system includes PCRF 610, PGW 620, traffic probe module 630 and charging system 640, where charging system 640 has been described in detail in the above embodiments and is not further described here. The traffic probe module 630 is configured to monitor traffic data traffic in real time after receiving a request from the charging system 640, and notify the charging system 640 when the traffic data traffic accumulated value reaches a network outage threshold value, so that the charging system 640 triggers the PCRF 610 to notify the PGW 620 of network outage for the traffic data traffic. The embodiment can improve the accuracy of the broken network.
Fig. 7 is a schematic structural diagram of a charging system according to another embodiment of the present disclosure. The billing system includes a memory 710 and a processor 720. Wherein: the memory 710 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory 710 is used to store instructions in the embodiments corresponding to fig. 1-3. Processor 720, coupled to memory 710, may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 720 is configured to execute instructions stored in the memory.
In one embodiment, as also shown in FIG. 8, the billing system 800 includes a memory 810 and a processor 820. The processor 820 is coupled to the memory 810 by a BUS 830. The billing system 800 may also be coupled to an external storage device 850 via storage interface 840 to facilitate the retrieval of external data, and may also be coupled to a network or another computer system (not shown) via network interface 860, which will not be described in detail herein.
In this embodiment, the data instructions are stored in the memory, and the instructions are processed by the processor, so that accurate control of network disconnection can be realized.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of fig. 1-3. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (9)
1. A method for improving the accuracy of broken network includes:
determining a service data traffic accumulated value according to the ticket data;
determining whether the user number uses the service data for the first time based on the call ticket data;
if the user number uses the service data for the first time, determining a flow value Y x T in a unit time length T of a generated ticket in a policy and charging rule functional unit PCRF according to the current maximum flow rate Y of the network;
when the difference between the network disconnection threshold value and the accumulated value of the business data flow is smaller than Y x T, triggering a flow probe module to monitor the business data flow in real time;
and when the traffic data traffic accumulated value sent by the traffic probe module reaches a network disconnection threshold value, triggering the PCRF to notify a public data network gateway PGW of network disconnection of the traffic data traffic.
2. The method of claim 1, wherein,
if the user number does not use the service data for the first time, determining a flow value K X T of a preset multiple K in a unit time T of a ticket generated in the PCRF according to a network historical flow average rate X;
and if the difference between the network disconnection threshold value and the accumulated value of the business data flow is less than K X T, triggering a flow probe module to monitor the business data flow in real time.
3. The method of claim 2, further comprising:
and if the difference between the network failure threshold value and the accumulated value of the business data flow is smaller than the smaller value of the Y, T and K, X, T, triggering a flow probe module to monitor the business data flow in real time.
4. A charging system, comprising:
a traffic value determining unit, configured to determine a traffic data traffic cumulative value according to the ticket data;
a first use judging unit, configured to determine whether the user number uses the service data for the first time based on the ticket data;
a generated ticket flow determining unit, configured to determine, if the user number uses the service data for the first time, a flow value Y × T in a unit time length T of a ticket generated in the policy and charging rule functional unit PCRF according to a current maximum flow rate Y of the network;
the probe triggering unit is used for triggering the flow probe module to monitor the traffic data flow in real time when the difference between the network failure threshold value and the traffic data flow accumulated value is smaller than Y x T;
and the network disconnection triggering unit is used for triggering the PCRF to inform a public data network gateway PGW of network disconnection of the service data traffic when the traffic data traffic accumulated value sent by the traffic probe module reaches a network disconnection threshold value.
5. The billing system of claim 4, wherein,
the generated ticket flow determining unit is further used for determining a flow value KxX T of a preset multiple K in the unit time T of the generated ticket in the PCRF according to the network historical flow average rate X if the user number does not use the service data for the first time;
and the probe triggering unit is also used for triggering a flow probe module to monitor the traffic data flow in real time if the difference between the network disconnection threshold value and the traffic data flow accumulated value is less than K X T.
6. The billing system of claim 5, wherein,
and the probe triggering unit is also used for triggering a flow probe module to monitor the traffic data flow in real time if the difference between the network breaking threshold and the traffic data flow accumulated value is smaller than the smaller value of the Y X T and the K X T.
7. A system for improving the accuracy of network disconnection, comprising a flow probe module, a Policy and Charging Rules Function (PCRF), a public data network gateway (PGW), and the charging system of any one of claims 4-6,
the flow probe module is used for monitoring the traffic data flow in real time after receiving the request of the charging system, and informing the charging system when the traffic data flow accumulated value reaches a network disconnection threshold value, so that the charging system triggers the PCRF to inform the PGW of network disconnection of the traffic data flow.
8. A charging system, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-3 based on instructions stored in the memory.
9. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 3.
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| CN103476064A (en) * | 2013-09-13 | 2013-12-25 | 小米科技有限责任公司 | Method and device for flow control of terminal device and terminal device |
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| CN104135561B (en) * | 2013-07-08 | 2016-03-16 | 腾讯科技（深圳）有限公司 | A kind of flow based reminding method of terminal, device and terminal |
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| CN101645892A (en) * | 2009-08-26 | 2010-02-10 | 成都市华为赛门铁克科技有限公司 | Flow detection method and equipment |
| CN103476064A (en) * | 2013-09-13 | 2013-12-25 | 小米科技有限责任公司 | Method and device for flow control of terminal device and terminal device |
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