CN109996285A - Method for controlling network congestion, device, equipment and medium - Google Patents
Method for controlling network congestion, device, equipment and medium Download PDFInfo
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- H—ELECTRICITY
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- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
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- H04L47/29—Flow control; Congestion control using a combination of thresholds
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0289—Congestion control
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- H04W8/02—Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
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Abstract
The invention discloses method for controlling network congestion, device, equipment and media, this method comprises: based on the net-work parameter information for concentrating performance management platforms acquisition by network, congested cell report file is generated, the congested cell report file includes congested cell information and corresponding congestion control policy coding；And it is based on the congested cell report file, corresponding congestion control policy is configured for congested cell.It is integrated as a result, by network capabilities, realizes the automatic closed loop management framework of network congestion intelligent diagnostics, differentiation scheduling.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a medium for controlling network congestion.
Background
The rapid development of Long Term Evolution (LTE), the market popularity rate is greatly increased, and the cost competition and product competition among operators are more intense. In 3 seasons before 2017, compared with 16 years, the average online user number of PS in a coverage area is increased by 1.48 times, the flow is increased by 1.84 times, the distribution of network hot spot areas is unbalanced, and scene services such as universities and subways are centralized. The number of the cells above 50GB is 15382 on an average day of success, and 25% of the cells contribute 75% of the traffic of the whole network. High traffic areas are prone to network congestion and users cannot enjoy equal network quality-aware guarantees in this case as compared to normal traffic areas. Therefore, based on network congestion load, network resources are reasonably distributed and scheduled, user experience perception is guaranteed to be important, and the method is also an inevitable trend of LTE network technology evolution.
Currently, although a known congested cell can be managed and controlled through policy configuration, congestion of the cell dynamically changes along with people flow migration, traffic fluctuation, and time change. At present, a networking architecture and network element capability can only provide a pre-configured static service guarantee strategy function, and dynamic response measures cannot be implemented.
In view of the above, there is a strong need for a congestion control strategy for dynamically changing network congestion.
Disclosure of Invention
The embodiment of the invention provides a network congestion control method, a network congestion control device, network congestion control equipment and a network congestion control medium, which are used for realizing an automatic closed-loop management framework of intelligent diagnosis and differential scheduling of network congestion through network capacity integration.
In a first aspect, an embodiment of the present invention provides a method for controlling network congestion, where the method includes:
generating a congestion cell report file based on network parameter information acquired by a network centralized performance management platform, wherein the congestion cell report file comprises congestion cell information and corresponding congestion control strategy codes; and
and configuring a corresponding congestion control strategy for the congested cell based on the congested cell report file.
In a second aspect, an embodiment of the present invention provides a network congestion control apparatus, where the apparatus includes:
a congestion cell analysis unit, configured to generate a congestion cell report file based on network parameter information collected by a network centralized performance management platform, where the congestion cell report file includes congestion cell information and a corresponding congestion control policy code; and
and the congestion control strategy configuration unit is used for configuring a corresponding congestion control strategy for the congested cell based on the congested cell report file.
In a third aspect, an embodiment of the present invention provides a computing device, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.
The network congestion control method, the device, the equipment and the medium provided by the embodiment of the invention can be used for accurately analyzing the network congestion situation in real time by adding the closed-loop management process of intelligent diagnosis and control linkage of the congested cell on the basis of the existing network capacity, and can be intelligently linked with a policy and charging rules function unit (PCRF) network element, accurately analyze and arrange the information of the congested cell in real time and transmit the information to the PCRF to execute dynamic network congestion control.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 illustrates one embodiment of an existing congestion control policy for a network;
FIG. 2 shows a schematic diagram of regional traffic flow statistics;
FIG. 3 illustrates a networking architecture diagram according to one embodiment of the invention;
fig. 4 shows a flow diagram of a network congestion control method according to an embodiment of the invention;
fig. 5 shows a schematic block diagram of a network congestion control arrangement according to one embodiment of the present invention;
fig. 6 is a schematic diagram illustrating a hardware structure of a computing device according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the initial stage of the LTE user accessing the internet, or in the process of occurrence of TAI granularity switching, Cell switching, HANDOVER, and the like, the LTE user carries a plurality of parameter information such as an E-UTRAN Cell Global Identifier (ECGI), a qci (qos class Identifier), a bandwidth, a mobile phone number, and a PGW IP, and reports the parameter information to a Policy and Charging Rules Function (PCRF) for Policy matching.
For example, when the mobile phone number or the cell information carried by the user matches different policies in the PCRF, such as a user management and control policy for the ECGI cell, and according to the marketing policy matched with the mobile phone number, the PCRF issues a corresponding execution action.
The wireless network resources are relatively limited, and general network congestion means that the utilization rate of wireless PRB exceeds a threshold value after the number of access users in a specific cell reaches a certain plan, the user experience perception of surfing the internet is obviously reduced, in this case, the bandwidth occupied by large-granularity services and QCI (video, download, P2P and other services) levels are reduced, the bandwidth resources of instant messaging services are preferentially guaranteed, the network utilization efficiency is improved, the experience perception of important services is guaranteed, and the network congestion is relieved.
Fig. 1 shows an example of an existing congestion control policy for a network. Referring to fig. 1:
1. the user carries various parameter information such as ECGI, QCI \ bandwidth, mobile phone number and the like in the internet surfing process and reports the parameter information to the PCRF for strategy matching;
2. after the ECGI reported by the user is matched with the congestion control strategy configured by the PCRF, different service types used by the user dynamically are issued with QCI \ bandwidth again to cover the original parameters, and a scheduling and distributing instruction is specifically and newly transmitted to an SAE GW, an MME and an ENB network element for execution;
3. after receiving the PCRF instruction, the network elements such as SAE GW, MME, ENB and the like execute QCI \ bandwidth reallocated for different service types used by the user, and network resource benefit is improved.
Although the known congested cell can be managed and controlled through policy configuration at present, for environments with large traffic migration and transformation such as hospitals and transportation hubs, network congestion dynamically changes along with traffic migration, traffic fluctuation and time change.
Fig. 2 shows a regional traffic flow statistics diagram.
Referring to fig. 2, taking a hospital area as an example, the number of access users and the traffic volume in the busy hour stage are approximately 10 times or more than that in the idle hour stage. In the idle period, the maximum resource redundancy capability can meet the user requirement, but in the busy period, the same service quality guarantee as that in the idle period cannot be provided for the user under the same resource condition.
Therefore, network congestion belongs to a dynamically changing process, and a scheme for dynamically controlling congestion needs to be adopted to deal with and solve the problem. However, at present, the networking architecture and the network element capability can only provide the function of a pre-configured static service guarantee policy, and cannot implement dynamic countermeasures.
In view of this, the present invention provides a method and a device for controlling network congestion, which construct a chimney-type network element into an automated closed-loop management architecture with intelligent network congestion diagnosis and differentiated scheduling through network capability integration. Specifically, a closed-loop management process of intelligent diagnosis and control linkage of a congested cell is added on the basis of the existing network capacity, so that the network congestion condition can be analyzed accurately in real time. And the network centralized performance management platform can be intelligently linked with the PCRF network element, accurately analyze and arrange the information of the congested cell in real time and transmit the information to the PCRF to execute dynamic control.
The network congestion control scheme of the present invention will be described in detail with reference to the accompanying drawings and embodiments.
The invention provides a networking architecture with automatic closed-loop management functions of intelligent network congestion diagnosis and differentiated scheduling, innovatively defines a service control (hereinafter, referred to as SC interface) interface protocol standard between a network centralized performance management platform (hereinafter, referred to as a centralized performance platform for short) and a PCRF network element, can realize effective butt joint linkage of the centralized performance platform and the PCRF network element based on the interface protocol standard, and realizes intelligent closed-loop management of integrated network congestion diagnosis and control.
Fig. 3 shows a schematic diagram of a networking architecture according to one embodiment of the invention.
As shown in fig. 3, the networking architecture includes a centralized performance platform, a PCRF network element, and a base station, a core network, and other network elements in an LTE network.
The centralized performance platform can collect network parameter information in the LTE network, and the network parameter information may include, but is not limited to, user plane data information, control plane data information, and the like. For example, data information collected via interfaces S1-mme, S1-u, Gx, S6a, Sgi, etc.
Specific types of information may include, but are not limited to, the following: (1) the types of signaling messages carried by the user in the stages of activating Internet access, TAU/RAU, handover and the like comprise: parameters such as IMSI or old GUTI, last visited TAI (if available), UECore Network Capability, ECGI, Attach Type, ESM message container (Request Type, PDN Type, Protocol Configuration Options, mapped Options Transfer Flag), MSISDN; (2) the media message carried by the user in the service packet transmission comprises: APN, PDN Type, protocol configuration Options, Request Type, URL, IP/port. (3) The signaling message carried by the user when applying for the special load transfer service package comprises: EPS Bearer Identity, EPS Bearer QoS, Session management request, S1-TEID, and the like.
And then, the centralized performance platform can carry out real-time and intelligent diagnosis on the congested cell based on the network parameter information so as to provide a data basis for network congestion control of the PCRF network element.
For example, the centralized performance platform may generate a congested cell report file based on the network parameter information collected by the network centralized performance management platform, and the PCRF may configure a corresponding congestion control policy for each congested cell based on the congested cell report file. The congested cell report file may include information about a congested cell and a corresponding congestion control policy code. The congested cell information may include a congested cell state, a congested cell location type, a congested cell location value, and the like.
Specifically, the centralized performance platform can determine a congested cell based on the network parameter information collected as above and generate a congested cell report file.
Since the user experience perception will be significantly reduced when the number of users accessed in the cell exceeds 60% of the maximum access user scale of the base station.
Thus, in a preferred embodiment, the centralized performance platform is capable of monitoring and analyzing the user capacity accessed by the cell base station, and diagnosing that a cell is congested with a network when the current user capacity of the cell exceeds a predetermined capacity threshold, i.e., determining that the cell is a congested cell.
Specifically, the centralized performance platform can construct a mapping relation table between the user information and the cell information of the cell where the user is currently located based on the acquired network parameter information. The cell information may include ECGI information of the cell, and the like. The user information may include user plane data information of the user and control plane data information related thereto, such as signaling messages carried by the user at stages of activating internet, TAU/RAU, handover, and the like, and/or media messages carried by the user when transmitting a service packet.
Further, based on the mapping relation table, determining whether the current user capacity of the cell exceeds a predetermined capacity threshold, and determining that the cell with the current user capacity exceeding the predetermined capacity threshold is a congested cell. The predetermined capacity threshold may be a predetermined proportion of the maximum user capacity of the cell base station, the maximum user capacity may be 1200, for example, and the predetermined proportion may be 60%.
The specific network congestion diagnosis analysis process may be as follows, for example:
(1) constructing a mapping relationship table
After screening the MSISDN, wherein the IMSI and MSISDN fields are the unique description of the user, mapping the information of the carried ECGI cell field to the information of the base station cell currently used by the user after associating the information of the carried ECGI cell field to obtain a mapping relation table of the user and the cell, and the mapping relation table may have the mapping relation of the ECGI information, the IMSI and the MSISDN.
(2) Congested cell diagnosis
Under the condition of mapping relation among ECGI information, IMSI and MSISDN, the number of users accessed to an ECGI base station cell can be calculated through the full information acquired by big data, according to the maximum access user scale of the current general base station processing capacity of 1200, 60% of the number of the users accessed to the ECGI base station cell exceeding the maximum access scale is defined as network congestion, and the cell with the current user capacity exceeding the preset capacity threshold is determined as a congestion cell.
The congested cell calculation method may be, for example:
algorithm 1: based on the relationship between Cell base station information (Cell ID) and mobile phone number (MSISDN) in the mapping relationship table, Cell ID with the number of currently accessed users being greater than 60% of the maximum accessible users 1200 of the base station is calculated, and then user MSISDN and Cell ID in the Cell are recorded as a congested Cell.
(3) Generating a congested cell report file
The centralized performance platform generates a congested cell report file based on the congested cell diagnosis result of the above embodiment, where the congested cell report file may include the congested cell information of the determined congested cell and a congestion control policy code set for the congested cell. The information of the congested cell comprises the state of the congested cell, the position type of the congested cell, the position value of the congested cell and the like.
The centralized performance platform can provide the generated congestion cell report file to the PCRF network element. In this way, the congestion control information output method is converted from the conventional ECGI cell information, IMSI, MSISDN into policy code (PolicyCode), cell Status (Status), cell location type (PositionType), cell location value (PositionValue) field, and the like.
In addition, when the service quality of the service in the ECGI cell is reduced, for example, the index degradation such as the download rate, the packet loss rate, and the delay reaches a predetermined degradation ratio (for example, 30%), it may also be diagnosed that the network is congested.
Therefore, in a preferred embodiment, the centralized performance platform may further determine whether the current user service quality indicator of the cell is lower than or exceeds its corresponding predetermined indicator threshold based on the mapping relationship table, and determine that the cell whose current user service quality indicator is lower than or exceeds its corresponding predetermined indicator threshold is a congested cell.
Specifically, for example, the uplink traffic rate and/or the downlink traffic wave rate of the service of the current user may be determined by using the ratio of the uplink traffic rate and the downlink traffic rate to the service duration, and the cell in which the uplink traffic rate and/or the downlink traffic wave rate of the service of the current user is lower than the predetermined traffic rate threshold is determined as the congested cell.
Or, the uplink packet delay response is the ratio of the uplink IP traffic packet of the current user service to the service duration, and the downlink packet delay response is the ratio of the downlink IP traffic packet of the current user service to the service duration, so as to determine the uplink packet delay response and/or the downlink packet delay response of the current user service, and determine the cell in which the uplink packet delay response and/or the downlink packet delay response of the current user service is greater than the predetermined delay threshold as the congested cell.
It should be understood that the qos indicators may include, but are not limited to, the uplink and downlink traffic rates, the packet delay, and the like according to the embodiment of the present invention, and different qos indicators may have different decision criteria.
According to the embodiment of the present invention, a specific network congestion diagnosis analysis process may be as follows:
(1) information association
The signaling messages carried by the user in the stages of activating internet access, TAU/RAU, handover and the like are associated with the media messages carried by the user when the user transmits the service packet, and a mapping relation table between the user and the cell is constructed according to the embodiment. And if the mapping relation of the ECGI information, the IMSI and the MSISDN exists, the information such as URL, IP/port and the like of the service used by the user is related.
(2) Congested cell diagnosis
By associating information such as URL (uniform resource locator), IP (Internet protocol)/port and the like of a service used by a user under the condition of mapping relation of ECGI (International Mobile subscriber identity) information, IMSI (International Mobile subscriber identity) and MSISDN (Mobile subscriber directory number), the service quality experience perception of the user is judged, service quality indexes describing the user quality perception are defined as network congestion when the degradation of more than 30% occurs, such as download rate, packet loss rate, time delay and the like, and a cell with the network congestion is diagnosed and determined as a congested cell.
The congested cell calculation method may be, for example:
and 2, algorithm: MSISDN, Cell ID, uplink traffic (UL Data), downlink traffic (DL Data), service Start-stop Time (ProcedureStart Time), and service End Time (Procedureend Time) to calculate the rate change of the uplink and downlink traffic of the user in a specific Cell. And calculating the rate condition by dividing UL Data and DL Data by the service duration (subtracting the service ending time from the service ending time), and if the calculated rate index is 60 percent lower than the normal rate threshold, judging the MSISDN and the Cell ID of the user as a congested Cell.
Algorithm 3: and calculating the Packet delay response condition of the user in a specific Cell by dividing the DL IP Packet and the DL IP Packet by the service duration (subtracting the service ending Time from the service ending Time), and judging the Cell to be congested if the calculated Packet delay response is more than 400 ms.
(3) Generating a congested cell report file
The centralized performance platform generates a congested cell report file based on the congested cell diagnosis result of the above embodiment, where the congested cell report file may include the congested cell information of the determined congested cell and a congestion control policy code set for the congested cell. The information of the congested cell comprises the state of the congested cell, the position type of the congested cell, the position value of the congested cell and the like.
The centralized performance platform can provide the generated congestion cell report file to the PCRF network element. In this way, the congestion control information output mode is changed from the existing ECGI cell information, IMSI, MSISDN, URL, IP/port to PolicyCode, Status, PositionType, PositionValue, and the like.
Therefore, network capacity integration is carried out through the centralized performance platform, the existing chimney type network element is constructed to have the function of network real-time and intelligent congestion diagnosis, and a data basis is provided for the PCRF network element to carry out differential network congestion dynamic control.
And then, the centralized performance platform can realize network congestion control on the congested cell by combining with the PCRF.
Specifically, the centralized performance platform is linked with the network element of the PCRF, and the PCRF can configure a corresponding congestion control policy for each congested cell based on the congested cell report file to perform dynamic control of network congestion and construct an intelligent closed-loop system for improving service quality perception. For example, the PCRF may periodically collect a congested cell report file generated by the centralized performance platform, or respond to a corresponding notification signal sent by the platform, and then execute a corresponding congestion control policy.
In a preferred embodiment, after generating the congested cell report file, the centralized performance platform sends a network congestion control notification signal to the PCRF network element, and the PCRF network element may configure a corresponding congestion control policy for the congested cell in response to the network congestion control notification signal.
Further, after the network congestion is removed, the PCRF network element may respond to the network congestion removal notification signal sent by the centralized performance platform to remove the congestion control configured for the congested cell.
According to the embodiment of the present invention, a specific network congestion linkage control flow may be, for example, as follows:
(1) after the centralized performance platform collects information of a control plane and a user plane of an LTE network, diagnosis standard information such as the number of access users, service downloading rate, packet delay and the like accessed in an ECGI cell is calculated by relying on the processing capacity of a large data platform, and after at least one piece of diagnosis standard information exceeds a corresponding preset threshold, a congestion cell report file is generated by the centralized performance platform.
The centralized performance platform generates a congestion cell report file according to a protocol file format of a functional module for statistic analysis and communication of the congestion cell between the centralized performance platform and a PCRF network element. The report file includes the following main information: PolicyCode, cell state Status, PositionType, PositionValue.
(2) After the report file of the congested cell is generated, a communication function of the module sends a network congestion control notification signal to notify a PCRF network element to collect and process the report file.
(3) And after receiving the notice of the centralized performance platform, the PCRF acquires a report file of the congested cell.
(4) The PCRF reads the ECGI information of the congested cell in the collected congested cell report file, and automatically updates the ECGI information into a congestion control predefined policy configured by the PCRF, wherein the policy has a management function that the ECGI information can take effect aiming at the congested ECGI cell.
(5) And the pre-defined strategy of the PCRF dynamically re-issues QCI \ bandwidth to cover the original parameters aiming at the users under the congested ECGI cell, and instantly issues a new scheduling instruction to SAE GW, MME and ENB network elements for execution, thereby realizing scheduling management of the congested cell in real time, relieving network congestion and improving user perception.
(6) And after the network congestion is relieved, the centralized performance platform sends a network congestion relief notification signal to notify the PCRF of the congestion relief control function of the relevant cell.
Therefore, the automatic closed-loop management function of the congested cell is realized through real-time and intelligent network congestion diagnosis, automation and intellectualization.
Compared with the prior art, the embodiment of the invention has the following technical advantages:
(1) after the wireless network PRB utilization rate reaches or exceeds a threshold value, the user internet experience perception is obviously reduced, under the condition, more bandwidth requirements are occupied by the granularity reduction limiting service, the QCI (video, download, P2P and other services) grade is reduced, the bandwidth resources of the instant messaging service are preferentially ensured, the network bandwidth requirements of important services are ensured to improve the user experience perception, the network utilization efficiency is enhanced, and the network congestion is relieved.
(2) The centralized performance platform is linked with the PCRF network element, so that the barrier of chimney type network element construction is broken, and an intelligent network element integrating congestion analysis and diagnosis and closed-loop management and control is constructed. In addition, after network congestion occurs in environments with large traffic migration and transformation such as hospitals and transportation hubs, the centralized performance platform diagnoses and analyzes ECGI cell information of a corresponding area, and then can automatically inform a PCRF network element to perform congestion control management on the current cell, so that the bandwidth used by low-value services such as videos with large granularity and downloads under the cell is limited to a certain extent, resources are relieved and provided for services such as instant messaging, user experience perception of services such as instant messaging is guaranteed, and network resource benefits are improved. After the network congestion is relieved, the centralized performance platform informs the PCRF of relieving the congestion control function of the relevant cell, so that the automatic closed-loop management function of the congested cell is automatically and intelligently realized.
In addition, the network congestion control scheme of the present invention may be implemented as a network congestion control method, which may be implemented by a network congestion control apparatus. Fig. 4 shows a flow diagram of a network congestion control method according to an embodiment of the invention. Fig. 5 shows a schematic block diagram of a network congestion control arrangement 500 according to one embodiment of the present invention.
Referring to fig. 4 and 5, in step S410, for example, a congested cell analysis unit 510 shown in fig. 5 may generate a congested cell report file based on network parameter information collected by a network centralized performance management platform, where the congested cell report file may include congested cell information and a corresponding congestion control policy code.
In step S420, for example, the congestion control policy configuring unit 520 shown in fig. 5 may configure a corresponding congestion control policy for the congested cell based on the congested cell report file.
Preferably, the congested cell analysis unit 510 may determine a congested cell based on the collected network parameter information, and generate the congested cell report file, where the congested cell report file includes congested cell information of the determined congested cell and a congestion control policy code set for the congested cell.
Preferably, the congested cell information may include a congested cell state, a congested cell location type, and a congested cell location value.
Preferably, the network parameter information may include: user plane data information and/or control plane data information.
Preferably, the congestion cell analysis unit 510 may include a mapping relation table construction module. The mapping relation table building module can build a mapping relation table of the user information and the cell information of the cell where the user is currently located based on the collected network parameter information.
Preferably, the congested cell analysis unit 510 may further include a congested cell decision module.
The congested cell determining module may determine whether the current user capacity of the cell exceeds a predetermined capacity threshold based on the mapping relation table, and determine that a cell with the current user capacity exceeding the predetermined capacity threshold is a congested cell. The predetermined capacity threshold may be, for example, a predetermined proportion of the maximum user capacity of the cell.
Preferably, the congested cell determining module may also determine whether the current user service quality indicator of the cell is lower than or exceeds its corresponding predetermined indicator threshold based on the mapping relation table, and determine that a cell whose current user service quality indicator is lower than or exceeds its corresponding predetermined indicator threshold is a congested cell.
Specifically, the congested cell determining module may determine an uplink traffic rate and a downlink traffic wave rate of the current user service respectively based on a ratio of the uplink traffic and the downlink traffic of the current user service to a service duration, and determine a cell in which the uplink traffic rate and/or the downlink traffic wave rate of the current user service is lower than a predetermined traffic rate threshold as the congested cell.
Or, the congested cell determining module may also determine an uplink packet delay response and a downlink packet delay response of the current user service respectively based on a ratio of an uplink IP traffic packet, a downlink IP traffic packet, and a service duration of the current user service, and determine a cell in which the uplink packet delay response and/or the downlink packet delay response of the current user service is greater than a predetermined delay threshold as a congested cell.
Preferably, the congested cell analysis unit 510 may be, for example, a network centralized performance management platform according to an embodiment of the present invention, and implements a function of collecting the network parameter information and generating the congested cell report file. The congestion control policy configuration unit 520 may be, for example, a PCRF network element in the embodiment of the present invention, and implements a function of configuring a corresponding congestion control policy for a congested cell based on the congested cell report file.
Preferably, the congested cell analysis unit 510 may further include a notification module. And the notification module sends a network congestion control notification signal to the PCRF after the congested cell analysis unit generates the congested cell report file. The congestion control policy configuration unit 520 may comprise a policy configuration module. The policy configuration module may configure a corresponding congestion control policy for the congested cell in response to the network congestion control notification signal.
The congestion control policy configuration unit 520 may also include a policy release module. The policy removing module may remove the congestion control policy for the congested cell in response to the network congestion removal notification signal sent by the notification module.
So far, the network congestion control method and the network congestion control apparatus of the present invention have been described in detail with reference to fig. 4 to 5. The scheme of an intelligent closed loop system for improving service quality perception is established by creatively providing a congestion cell calculation method, linkage between a centralized performance platform and a PCRF.
In addition, the network congestion control methods of the embodiments of the invention described in connection with fig. 3-5 may be implemented by a computing device. Fig. 6 is a schematic diagram illustrating a hardware structure of a computing device according to an embodiment of the present invention.
The computing device may include a processor 601 and memory 602 that stores computer program instructions.
Specifically, the processor 601 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
Memory 602 may include mass storage for data or instructions. By way of example, and not limitation, memory 602 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 602 may include removable or non-removable (or fixed) media, where appropriate. The memory 602 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 602 is a non-volatile solid-state memory. In a particular embodiment, the memory 602 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The processor 601 may implement any one of the network congestion control methods in the above embodiments by reading and executing computer program instructions stored in the memory 602.
In one example, the computing device may also include a communication interface 603 and a bus 610. As shown in fig. 6, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 to complete communication therebetween.
The communication interface 603 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
Bus 610 includes hardware, software, or both to couple components of the computing device to one another. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 610 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention.
In addition, in combination with the network congestion control method in the foregoing embodiment, the embodiment of the present invention may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the network congestion control methods in the above embodiments.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (15)
1. A method for network congestion control, the method comprising:
generating a congestion cell report file based on network parameter information acquired by a network centralized performance management platform, wherein the congestion cell report file comprises congestion cell information and corresponding congestion control strategy codes; and
and configuring a corresponding congestion control strategy for the congested cell based on the congested cell report file.
2. The method of claim 1, wherein generating a congested cell report file based on network parameter information collected by a network centralized performance management platform comprises:
determining a congested cell based on network parameter information collected by a network centralized performance management platform; and
and generating the report file of the congested cell, wherein the report file of the congested cell comprises the information of the congested cell of the determined congested cell and a congestion control strategy code set for the congested cell.
3. The method of claim 2,
the information of the congested cell comprises the state of the congested cell, the location type of the congested cell and the location value of the congested cell.
4. The method of claim 2, wherein the network parameter information comprises:
user plane data information; and/or
Control plane data information.
5. The method of claim 2, wherein determining the congested cell based on network parameter information collected by a network centralized performance management platform comprises:
based on the network parameter information collected by the network centralized performance management platform, a mapping relation table of user information and cell information of a cell where the user is currently located is constructed;
and determining the congested cell based on the mapping relation table.
6. The method of claim 5, wherein the determining a congested cell based on the mapping relation table comprises:
determining whether the current user capacity of the cell exceeds a preset capacity threshold value based on the mapping relation table; and
and judging the cell with the current user capacity exceeding the preset capacity threshold value as a congested cell.
7. The method of claim 6,
the predetermined capacity threshold is a predetermined proportion of the maximum user capacity of the cell.
8. The method of claim 5, wherein determining the congested cell based on the mapping table comprises:
determining whether the current user service quality index of the cell is lower than or exceeds a corresponding preset index threshold value based on the mapping relation table; and
and judging the cell of which the current user service quality index is lower than or exceeds the corresponding preset index threshold value as a congestion cell.
9. The method of claim 8, wherein the determining that the cell whose current user qos indicator is lower than or exceeds its corresponding predetermined indicator threshold is a congested cell comprises:
judging a cell with an uplink flow rate and/or a downlink wave rate of the current user service lower than a preset rate threshold value as a congested cell, wherein the uplink flow rate and the downlink flow rate are respectively the ratios of the uplink flow rate and the downlink flow rate of the current user service to the service duration;
or,
and judging the cell with the uplink packet delay response and/or the downlink packet delay response of the current user service larger than a preset delay threshold value as a congested cell, wherein the uplink packet delay response is the ratio of an uplink IP flow packet of the current user service to the service duration, and the downlink packet delay response is the ratio of a downlink IP flow packet of the current user service to the service duration.
10. The method of claim 1, further comprising:
and acquiring the network parameter information by a network centralized performance management platform and generating a congestion cell report file, and configuring a corresponding congestion control strategy for the congestion cell by a strategy and charging rule functional unit based on the congestion cell report file.
11. The method of claim 10,
after the network centralized performance management platform generates the congested cell report file, the method further includes:
sending a network congestion control notification signal to the policy and charging rules function unit; and
and the strategy and charging rule function unit responds to the network congestion control notification signal and configures a corresponding congestion control strategy for the congested cell.
12. The method of claim 11, further comprising:
and the strategy and charging rule function unit responds to a network congestion relief notification signal sent by the network centralized performance management platform and relieves the congestion control strategy configured for the congested cell.
13. An apparatus for network congestion control, the apparatus comprising:
a congestion cell analysis unit, configured to generate a congestion cell report file based on network parameter information collected by a network centralized performance management platform, where the congestion cell report file includes congestion cell information and a corresponding congestion control policy code; and
and the congestion control strategy configuration unit is used for configuring a corresponding congestion control strategy for the congested cell based on the congested cell report file.
14. A computing device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-12.
15. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-12.
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