CN110868304B - PCC strategy issuing method and system - Google Patents

PCC strategy issuing method and system Download PDF

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CN110868304B
CN110868304B CN201810990937.6A CN201810990937A CN110868304B CN 110868304 B CN110868304 B CN 110868304B CN 201810990937 A CN201810990937 A CN 201810990937A CN 110868304 B CN110868304 B CN 110868304B
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user
recovered
network speed
preset
period
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CN110868304A (en
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刘磊
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China Mobile Communications Group Co Ltd
China Mobile Group Henan Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Henan Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
    • H04L12/1403—Architecture for metering, charging or billing
    • H04L12/1407—Policy-and-charging control [PCC] architecture
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5003—Managing SLA; Interaction between SLA and QoS
    • H04L41/5019—Ensuring fulfilment of SLA
    • H04L41/5022—Ensuring fulfilment of SLA by giving priorities, e.g. assigning classes of service
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/80—Actions related to the user profile or the type of traffic
    • H04L47/805—QOS or priority aware
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/80—Actions related to the user profile or the type of traffic
    • H04L47/808—User-type aware
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/82—Miscellaneous aspects
    • H04L47/826—Involving periods of time

Abstract

The embodiment of the invention provides a PCC strategy issuing method and a system, wherein the method comprises the following steps: acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods; and issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered. The embodiment of the invention calculates the internet access probability of the user in the relevant time period by analyzing the flow use habit of the user in the past preset time period, thereby influencing the priority issued by the PCC strategy of the user, ensuring that the network speed of the user who frequently accesses the internet is recovered at the first time, and recovering the network speed of the user with lower internet access probability in the relevant time period, practically improving the service perception of the user and increasing the viscosity of the user.

Description

PCC strategy issuing method and system
Technical Field
The embodiment of the invention relates to the technical field of wireless communication, in particular to a PCC strategy issuing method and a PCC strategy issuing system.
Background
With the rapid development of mobile communication technology, the number of users using mobile communication has increased greatly in the last 20 years; in recent two years, mobile internet services have been developed rapidly, and various mobile internet services have been developed rapidly, which brings great changes to the lives of people in China. The mobile communication services are more and more, the number of users is very large, the user traffic is more and more, how to ensure the user experience of the VIP customer and provide differentiated services becomes a subject concerned by operators. Policy Control and Charging (PCC) in the third Generation Partnership Project (3rd Generation Partnership Project, 3GPP) may be used to solve these problems.
The PCC can help operators to provide different traffic bandwidth services for different users, and enable high-quality customers to experience high-quality service experience under the condition of certain resources, but the existing PCC policy issuing process has some defects, which causes poor user experience and brings user complaints. Such as: the operators respond to the national call and develop domestic non-flow-limiting services, users can use flow within 100G per month, if the flow used by the users per month reaches 20G or other values, the operators start to limit the speed of the users, and when the next month starts, the speed of the users returns to normal.
The midway speed limit of the user reaching a certain flow and the user speed recovery operation at the beginning of the month are completed by issuing a PCC strategy. In the process of limiting the speed of the user, the speed limiting conditions of the user are achieved successively, a large number of users do not simultaneously achieve the speed limiting conditions at a time point, most probably, the speed limiting conditions are started in the second half month, and when a business operation support system (BOSS for short) issues a strategy to a Home Location Register (HLR for short) through a PCC protocol, too much pressure does not exist.
However, when 1 morning of each month, all users who limited the speed in the last month need to perform speed recovery, which is a huge performance pressure. The operators have huge number of users, the speed-limited users of a provincial operator can reach ten million levels every month, theoretically, the speed-limited users of the ten million levels are issued through a PCC strategy 1 day in the morning at 00:00, and speed recovery is completed. However, in actual operation, ten million users to be rate-limited cannot complete issuing the PCC policy at a time point of 1 day 00:00 per month, the system needs a process time period to complete issuing ten million PCC policies, and the policy issuing process generally lasts for 3 to 5 hours. This also means that the last issued PCC policy user is actually recovered at network speed after several hours.
At present, in order to accelerate the issuing of the PCC policy at the time of 00:00 days per month, each operator adopts a channel-division and parallel mode, which can improve the issuing speed of the whole policy and enable the user to recover the network speed more quickly. And some operators firstly issue PCC strategies of high-quality customers according to the user levels, so that the network speed of the high-quality customers is ensured to be recovered as soon as possible.
In the existing scheme, a sub-channel PCC strategy is issued according to a user level. The method and the device can realize the first time issuing of the PCC strategy of the high-value client, and can improve the service experience of part of the high-value client issued in advance of the PCC strategy. However, the service experience of two parts of clients is not improved, one part of the clients is high-value clients, and although the PCC (policy control and charging) strategy issuing of the high-value clients is integrally advanced, due to the fact that the PCC strategy amount is too large, precedence problems also exist in the high-value clients, and therefore the PCC strategies of the high-value clients are issued in a delayed mode; another part is low value customers whose PCC policy is artificially delayed and their business experience becomes worse.
Some good clients issue the PCC strategy in advance, but actually at the time point of 1 day 00:00 per month, the good clients do not have flow use requirements, so that precious time is wasted, and the PCC strategy is issued to people who do not need the PCC strategy in advance. Since the customer star rating is a post-hoc rating, there are some customers who, although not good customers at present, have strong demands on traffic usage, and their traffic speed recovery is artificially delayed.
At present, the channel division is carried out by adopting a simpler method according to the set information of a client, such as: the subscriber number. The sub-channels have the disadvantages that some channels need more clients to issue the PCC policy, and other channels need fewer clients to issue the PCC policy, so that some channels are busy, some channels are idle, and the resources cannot be fully utilized, thereby causing the PCC policy issuing efficiency to be low.
Disclosure of Invention
The embodiment of the invention provides a method and a system for issuing a PCC strategy, which are used for solving the problems of insufficient utilization of channel resources and low efficiency of issuing the PCC strategy in the prior art.
In a first aspect, an embodiment of the present invention provides a method for issuing a PCC policy, including:
acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
and issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
In a second aspect, an embodiment of the present invention provides a PCC policy issuing system, including:
the priority module is used for acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
and the strategy module is used for issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor, at least one memory, a communication interface, and a bus; wherein the content of the first and second substances,
the processor, the memory and the communication interface complete mutual communication through the bus;
the communication interface is used for information transmission between the test equipment and the communication equipment of the display device;
the memory stores program instructions executable by the processor, and the processor calls the program instructions to perform a PCC policy issuing method provided in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the PCC policy issuing method provided in the first aspect.
The embodiment of the invention provides a PCC strategy issuing method and a PCC strategy issuing system, wherein the internet access probability of a user in a relevant time period is calculated by analyzing the flow use habit of the user in the past preset time period, so that the issuing priority of the PCC strategy of the user is influenced, the network speed of the user who frequently accesses the internet is ensured to be recovered at the first time, the network speed of the user with lower internet access probability in the relevant time period is recovered later, the service perception of the user is practically improved, and the viscosity of the user is increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of a PCC policy issuing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a PCC policy issuing system according to another embodiment of the present invention;
fig. 3 illustrates a physical structure diagram of an electronic device.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a PCC policy issuing method according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
s1, acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
and S2, issuing the PCC strategy corresponding to each user of the network speed to be restored according to the priority of each user of the network speed to be restored.
In the process of supporting system operation by service operation, many users are subjected to speed reduction processing because the users reach a flow rate limit point, and the flow rate of the users subjected to the speed reduction processing needs to be recovered by 1 day in the next month in 00:00 am, that is, the network speed to be recovered user in the embodiment of the present invention is the user needing to recover the network speed, and in general, an operator may select the speed reduction processing in 1 day in the morning in 00:00 begins to restore the network speed of the user.
The grade of the network speed user to be restored refers to the grade of the user in the operator server, for example, the grade can be divided into a first-grade customer, a second-grade customer and a third-grade customer, and the higher the grade of the customer is, the better the service enjoyed by the customer should be, so the grade of each network speed user to be restored is obtained first.
When considering which users have the PCC policy priority to issue, in addition to the user's rank, it is also necessary to consider that the user is in the morning 00: and whether the demand of surfing the internet exists is 00 minutes, so that the internet surfing probability of each user with the network speed to be recovered in a plurality of preset historical time periods also needs to be acquired.
Here, in the embodiment of the present invention, the preset history period refers to a time for performing network speed recovery on the user, and generally refers to 00:00 to 06:00 in the morning, or may be other periods, and the embodiment of the present invention is described by taking 00:00 to 06:00 as an example.
In the embodiment of the invention, a plurality of the nodes 180 analyze the internet access probability of the users from 00:00 to 06:00 in the morning in the last half year in order to obtain the internet access probability of the users in the time period, and the priority of the users is obtained by combining the obtained user level.
And issuing the PCC strategy corresponding to each network speed user to be recovered according to the priority of each network speed user to be recovered, wherein the higher the priority of the user is, the higher the requirement of the user on network speed recovery is, the earlier the PCC strategy of the user is issued.
When the PCC strategy of each user with the network speed to be recovered is issued, the embodiment of the invention considers the level of the user and the internet access habit of the user, obtains the priority issued by the PCC strategy of the user by integrating the level of the user and the internet access habit of the user, and ensures the preferential issuing of the PCC strategy of the user with the highest possibility of accessing the internet in the time interval, thereby ensuring that the network speed of the user with the network frequently accessed is recovered at the first time, practically improving the service perception of the user and increasing the viscosity of the user.
On the basis of the above embodiment, preferably, the priority of each network speed user to be recovered is obtained according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods, and the specific formula is as follows:
P(c,wp)＝f(c)*α+wp*β，
α＜β，
for any network speed user to be recovered, P (c, wp) represents the priority of the network speed user to be recovered, f (c) represents the level of the network speed user to be recovered, α represents a first preset weight, wp represents the sum of the network probabilities of the network speed users to be recovered in each preset historical period, and β represents a second preset weight.
After the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods are calculated, the priority of each network speed user to be recovered is calculated according to the following formula:
P(c,wp)＝f(c)*α+wp*β，
α＜β，
for convenience of description, one of the users with internet speed to be recovered is taken as an example for description, α represents a level weight of the user, β represents an internet access probability weight of the user, f (c) represents a level after quantization of the user, and wp represents a sum of internet access probabilities of the user in all preset history periods.
In the embodiment of the invention, the user level is comprehensively evaluated according to the online time of the user, the monthly consumption amount of the user, the arrearage condition and the like, and generally divided into five stars, wherein one star is a relatively primary star, the five stars are users at the highest level, and the data are stored in a relevant table of a database.
As can be seen from the above formula, the calculation of the user priority is related to two factors, the first factor is the user level, the other factor is the probability that the user will surf the internet during the period from 00:00 to 06:00, and α and β can be preset, but the sum of the two is 100.
In the embodiment of the invention, the value of alpha is 20, and the value of beta is 80, so as to ensure that the network speed of a user surfing the internet in the morning can be recovered preferentially. If the value of alpha is set to be larger than the value of beta, the user level attribute is prioritized, and the problem of user internet access habit prioritization cannot be solved. Therefore, in the embodiment of the invention, the value of alpha is set to be smaller than the value of beta.
The final value of the formula is between 0 and 100, and the larger the value is, the higher the strategy issuing priority of the user is.
The embodiment of the invention quantifies the internet surfing habit of the user into the internet surfing probability of the user from 00:00 to 06:00 in the morning, utilizes big data and machine learning technology to improve the accuracy of screening the user needing to preferentially issue the strategy data, and accurately issues the strategy data which needs to be issued most from the massive strategy issuing data.
On the basis of the foregoing embodiment, preferably, the sum of the internet access probabilities of any to-be-recovered-internet-speed user in each preset history period is obtained as follows:
dividing each preset history time interval into a plurality of preset history sub-time intervals, and taking the sum of the internet access probabilities of any to-be-recovered internet speed user in each preset history sub-time interval as the sum of the internet access probabilities of any to-be-recovered internet speed user in each preset history time interval;
for any preset history sub-period, taking the ratio of the effective internet surfing time of any user with the network speed to be recovered to the total internet surfing time as the internet surfing probability of any user with the network speed to be recovered in any preset history sub-period, wherein the effective internet surfing time represents the sum of the internet surfing time of any user with the network speed to be recovered in any preset history sub-period in each preset history period, and the total internet surfing time represents the sum of each preset history period.
In the embodiment of the invention, the sum of the internet access probabilities of the user in each preset historical time period is obtained in the following manner:
when the internet access probability of the user is counted in the past half year at 00:00-06:00 each day, in order to improve the sampling rate and the sampling accuracy, the historical time interval 00 is preset: 00-06:00 is divided into 6 preset history sub-periods, and in the embodiment of the present invention, the division into 6 preset history sub-periods is taken as an example for description, but the division is not limited to 6. In the embodiment of the invention, 00:00-06:00 is divided into 6 preset history sub-periods on average, and the 6 preset history sub-periods are respectively: 00:00-01:00, 01:00-02:00, 02:00-03:00, 03:00-04:00, 04:00-05:00, and 05:00-06: 00.
The sum of the internet access probabilities of the user in each preset historical period is as follows:
Figure BDA0001780756610000071
wherein wp1Representing the probability of surfing the Internet, wp, of the user during the period from 00:00 to 01:002Representing the probability of surfing the Internet, wp, of the user during the period from 01:00 to 02:003Representing the probability of surfing the Internet, wp, of the user during the period of 02:00-03:004Representing the probability of surfing the Internet, wp, of the user during the period from 03:00 to 04:005Representing the probability of surfing the Internet, wp, of the user during the period from 04:00 to 05:006Representing the probability of the user surfing the internet during the period of 05:00-06: 00.
wpi＝sum_cdr(i)/θ，
sum _ cdr (i) indicates how many hours are on the internet in the i hour period, half a year. i hour period correspondence:
value of i Time period
1 00:00-01:00
2 01:00-02:00
3 02:00-03:00
4 03:00-04:00
5 04:00-05:00
6 05:00-06:00
In the embodiment of the present invention, θ is a constant, and needs to be set to 184 × 6 ═ 1104, which indicates that within half a year (half a year is calculated according to 6 months, the converted day is 184 days, the day of half a year is the most days, and if not, the probability is greater than 1), there are 6 hours per day, and there are 1104 periods in total.
Specifically, wp1Sum of net probabilities in the period of 00:00-01:00 per day in the last half year, wp2Represents the sum of the net probabilities of the user during the period of 01:00-02:00 each day in the last half year, wp3Represents the sum of the net probabilities of the user in the period of 02:00-03:00 each day in the last half year, wp4Represents the sum of the net probabilities of the user during the period from 03:00 to 04:00 each day in the last half year, wp5Represents the sum of the net probabilities of the user during the period from 04:00 to 05:00, wp6Representing the sum of the net probabilities of the user during the period 05:00-06:00 each day in the last half year.
On the basis of the above embodiment, specifically, for any preset history sub-period of any preset history period, the internet surfing time of any user with a to-be-recovered internet speed in any preset history sub-period of any preset history period is obtained as follows:
if the sum of the uplink flow and the downlink flow of any to-be-recovered network speed user in any preset historical sub-period of any preset historical period is greater than a preset threshold value, the network access time of any to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 1, and otherwise, the network access time of any to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 0.
How to determine the internet surfing time of a certain user in a preset historical sub-period? The calculation is made according to the following formula:
Figure BDA0001780756610000091
wherein, updata (i) represents the uplink flow of a certain flow list in the ith preset historical sub-period, and downdata (i) represents the downlink flow of the flow list in the ith preset historical sub-period. In the embodiment of the present invention, the preset threshold is 100K, and for a preset historical sub-period, when the uplink traffic of a certain traffic list and the downlink traffic of the certain traffic list in the preset historical sub-period are greater than 100K, the internet access time in the preset historical sub-period is 1, otherwise, the internet access time in the preset historical sub-period is 0.
In the embodiment of the invention, the preset historical time periods are 00:00-06:00 in the morning in the last half year, the estimation of the last half year is 184 days, and sum _ cdr (i) represents the internet surfing time of the user in the ith preset historical sub-time period in the last half year.
Taking the sum of the internet access probabilities of the user in the period from 00:00 to 01:00 in a certain day in the last half year as an example, if the sum of the uplink traffic and the downlink traffic of a certain traffic list of the user in the period from 00:00 to 01:00 in the day is more than 100K, setting the ratio of the uplink traffic to the downlink traffic of the user in the day to 00: the internet surfing time of 00-01:00 is 1, and the internet surfing time of the user of 00:00-01:00 per day is calculated according to the method, so that the internet surfing time of the user of 00:00-01:00 is obtained.
And calculating the internet surfing time of the user in other preset historical sub-periods according to the same method, and finally calculating the internet surfing probability of the user in each preset historical sub-period.
In the online process, the embodiment of the invention divides the early morning into 6 time intervals, thereby improving the sampling rate and finally improving the screening precision of the target user.
On the basis of the foregoing embodiment, preferably, the issuing, according to the priority of each network speed to be restored user, the PCC policy corresponding to each network speed to be restored user specifically includes:
generating a PCC strategy issuing queue corresponding to each network speed user to be recovered according to the priority of each network speed user to be recovered and the height of the priority;
and dividing the PCC strategy issuing queue into a plurality of parallel channels, and issuing the PCC strategy in each parallel channel.
After the priority of each network speed user to be replied is calculated, a PCC policy issuing queue is generated according to the priority, the queue is ordered and is stored in a memory of a computer system, and the larger the priority is in the PCC policy issuing queue, the closer the user is in the queue, that is, the PCC policy of the user with the larger priority is issued preferentially.
When the PCC strategy is specifically issued, the PCC strategy in the queue is divided into a plurality of parallel channels by adopting the principle of the parallel channels, and the PCC strategy in each parallel channel is issued.
On the basis of the foregoing embodiment, preferably, the PCC policy issuing queue is divided into a plurality of parallel channels, and a specific formula is as follows:
c(s)＝mod(s,α)，
for any network speed user to be restored, c(s) represents a parallel channel sequence number allocated by the PCC policy corresponding to the network speed user to be restored, s represents a sequence number of the PCC policy corresponding to the network speed user to be restored in the PCC policy issuing queue, and α represents the number of all parallel channels.
The calculated value of the formula c(s) is the channel Number which should be allocated by the PCC policy information, s is the Sequence Number, which represents the Sequence Number of the policy information issuing queue in the policy, the Sequence Number is a Number and is arranged from small to large, the minimum value is 1, and the maximum value is the queue length.
Alpha represents the number of issued channels, is a fixed value and is a constant. The resulting range of C(s) is 0- (α -1), the maximum value (α -1), which are integers.
PCC strategies issued by a Business Operation System of a BOSS (Business & Operation Support System) and a mobile communication core network HLR are finally stored in an HLR of a network communication network, and when a user uses the mobile network, the mobile network can determine the network quality (including network speed and the like) of the user according to the user PCC strategies stored in the HLR.
The embodiment of the invention preferentially ensures the recovery of the internet speed of the high-level user and ensures the satisfaction degree of the high-level user under the condition that the users have internet surfing requirements.
Fig. 2 is a schematic structural diagram of a PCC policy issuing system according to still another embodiment of the present invention, as shown in fig. 2, the system includes a priority module 201 and a policy module 201, where the priority module 201 is configured to obtain a priority of each to-be-recovered network speed user according to a level of each to-be-recovered network speed user and a network access probability of each to-be-recovered network speed user in a plurality of preset historical time periods; the policy module 201 is configured to issue a PCC policy corresponding to each network speed to be restored user according to the priority of each network speed to be restored user.
The priority module acquires the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods. When the priority issued by the PCC strategy is considered, the level of the network speed user to be recovered is considered, the internet surfing habit of the network speed user to be recovered is also considered, the habit of the network speed user to be recovered is quantized into the internet surfing probability in a certain time period, and the priority issued by the PCC strategy of the network speed user to be recovered is determined by integrating the level of the network speed user to be recovered and the internet surfing habit.
And the policy module issues the PCC policy corresponding to each network speed user to be recovered according to the priority of each network speed user to be recovered. And the policy module issues the PCC policy corresponding to each network speed user to be recovered according to the priority of each network speed user to be recovered, wherein the higher the priority of the user is, the higher the requirement of the user on network speed recovery is, the more the PCC policy of the user is issued.
When the PCC strategy of each user with the network speed to be recovered is issued, the embodiment of the invention considers the level of the user and the internet access habit of the user, obtains the priority issued by the PCC strategy of the user by integrating the level of the user and the internet access habit of the user, and ensures the preferential issuing of the PCC strategy of the user with the highest possibility of accessing the internet in the time interval, thereby ensuring that the network speed of the user with the network frequently accessed is recovered at the first time, practically improving the service perception of the user and increasing the viscosity of the user.
The execution process of the embodiment of the system is the same as the execution process of the embodiment of the method, and please refer to the execution process of the embodiment of the method for details, which is not described herein again.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 complete communication with each other through the bus 340. Communication interface 340 may be used for information transfer between an electronic device and other devices. The processor 310 may call logic instructions in the memory 330 to perform the following method:
acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
and issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Embodiments of the present invention further provide a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer instructions, where the computer instructions cause the computer to perform the methods provided by the foregoing method embodiments, for example, the method includes: acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods; and issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (7)

1. A PCC strategy issuing method is characterized by comprising the following steps:
acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
the priority is the network speed recovery requirement level, and the calculation formula of the priority is as follows: p (c, wp) ═ f (c) · α + wp ·, α < β;
for any network speed user to be recovered, P (c, wp) represents the priority of the any network speed user to be recovered, f (c) represents the level of the any network speed user to be recovered, alpha represents a first preset weight, wp represents the sum of the network probabilities of the any network speed user to be recovered in each preset historical period, and beta represents a second preset weight;
the obtaining mode of the sum of the internet access probabilities of any user to recover the internet speed in each preset historical time period is as follows: dividing each preset history time interval into a plurality of preset history sub-time intervals, and taking the sum of the internet access probabilities of any user with the network speed to be recovered in each preset history sub-time interval as the sum of the internet access probabilities of any user with the network speed to be recovered in each preset history time interval, wherein the preset history time interval is the time for performing network speed recovery on the user;
the calculation formula of wp is:
Figure FDA0003460115120000011
wpi＝sum_cdr(i)/θ；
n represents the number of preset historical sub-periods, sum _ cdr (i) represents the internet surfing time of the user in the ith preset historical sub-period, i is 1, 2.. n, and theta represents the total internet surfing time;
for any preset history sub-period, taking the ratio of the effective internet surfing time of any user with the network speed to be recovered to the total internet surfing time as the internet surfing probability of any user with the network speed to be recovered in any preset history sub-period, wherein the effective internet surfing time represents the sum of the internet surfing time of any user with the network speed to be recovered in any preset history sub-period in each preset history period, and the total internet surfing time represents the sum of each preset history period;
for any preset history sub-period of any preset history period, the method for acquiring the internet surfing time of any user with the internet speed to be recovered in any preset history sub-period of any preset history period is as follows:
if the sum of the uplink flow and the downlink flow of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is greater than a preset threshold value, the network access time of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 1, otherwise, the network access time of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 0;
and issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
2. The method of claim 1, wherein the level of each user of wire rate to be restored is obtained from one or more of the following three aspects of each user of wire rate to be restored, namely duration on the network, monthly dollar amount consumed, and defaulting.
3. The method according to claim 1, wherein the issuing, according to the priority of each user with internet speed to be restored, the PCC policy corresponding to each user with internet speed to be restored specifically includes:
generating a PCC strategy issuing queue corresponding to each network speed user to be recovered according to the priority of each network speed user to be recovered and the height of the priority;
and dividing the PCC strategy issuing queue into a plurality of parallel channels, and issuing the PCC strategy in each parallel channel.
4. The method according to claim 3, wherein the PCC policy issuing queue is divided into a plurality of parallel channels, and a specific formula is as follows:
c(s)＝mod(s,α)，
for any network speed user to be restored, c(s) represents a parallel channel sequence number allocated by the PCC policy corresponding to the network speed user to be restored, s represents a sequence number of the PCC policy corresponding to the network speed user to be restored in the PCC policy issuing queue, and α represents the number of all parallel channels.
5. A PCC strategy issuing system is characterized by comprising:
the priority module is used for acquiring the priority of each network speed user to be recovered according to the level of each network speed user to be recovered and the internet access probability of each network speed user to be recovered in a plurality of preset historical time periods;
the priority module is further to:
the priority is the network speed recovery requirement level, and the calculation formula of the priority is as follows: p (c, wp) ═ f (c) · α + wp ·, α < β;
for any network speed user to be recovered, P (c, wp) represents the priority of the any network speed user to be recovered, f (c) represents the level of the any network speed user to be recovered, alpha represents a first preset weight, wp represents the sum of the network probabilities of the any network speed user to be recovered in each preset historical period, and beta represents a second preset weight;
the obtaining mode of the sum of the internet access probabilities of any user to recover the internet speed in each preset historical time period is as follows: dividing each preset history time interval into a plurality of preset history sub-time intervals, and taking the sum of the internet access probabilities of any user with the network speed to be recovered in each preset history sub-time interval as the sum of the internet access probabilities of any user with the network speed to be recovered in each preset history time interval, wherein the preset history time interval is the time for performing network speed recovery on the user;
the calculation formula of wp is:
Figure FDA0003460115120000031
wpi＝sum_cdr(i)/θ；
n represents the number of preset historical sub-periods, sum _ cdr (i) represents the internet surfing time of the user in the ith preset historical sub-period, i is 1, 2.. n, and theta represents the total internet surfing time;
for any preset history sub-period, taking the ratio of the effective internet surfing time of any user with the network speed to be recovered to the total internet surfing time as the internet surfing probability of any user with the network speed to be recovered in any preset history sub-period, wherein the effective internet surfing time represents the sum of the internet surfing time of any user with the network speed to be recovered in any preset history sub-period in each preset history period, and the total internet surfing time represents the sum of each preset history period;
for any preset history sub-period of any preset history period, the method for acquiring the internet surfing time of any user with the internet speed to be recovered in any preset history sub-period of any preset history period is as follows:
if the sum of the uplink flow and the downlink flow of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is greater than a preset threshold value, the network access time of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 1, otherwise, the network access time of any one to-be-recovered network speed user in any preset historical sub-period of any preset historical period is 0;
and the strategy module is used for issuing the PCC strategy corresponding to each user of the network speed to be recovered according to the priority of each user of the network speed to be recovered.
6. An electronic device, comprising:
at least one processor, at least one memory, a communication interface, and a bus; wherein the content of the first and second substances,
the processor, the memory and the communication interface complete mutual communication through the bus;
the communication interface is used for information transmission between the test equipment and the communication equipment of the display device;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1-4.
7. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to perform the method of any one of claims 1 to 4.
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