CN110213731A - A kind of group of subscribers network selecting method and system based on intelligent pricing - Google Patents
A kind of group of subscribers network selecting method and system based on intelligent pricing Download PDFInfo
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Abstract
The present invention proposes a kind of group of subscribers network selecting method and system based on intelligent pricing, it include: to count in heterogeneous network user group's quantity in the overlay area of the type of wireless network and every a kind of wireless network, by user group's quantity divided by number of users total in heterogeneous network, the ratio of the total number of users of each user group's quantity Zhan is obtained；According to the code rate of ratio and price the expression function and wireless network of wireless network, the payment cost function of every a kind of wireless network, pricing model of the set payment cost function as heterogeneous network are obtained；According to the code rate of wireless network and user using the expense paid needed for every a kind of wireless network, by pricing model, user's income of every class wireless network in heterogeneous network is obtained, user selects the wireless network of maximum user's income to be attached.
Description
Technical field
The present invention relates to the methods of user in wireless network action selection analysis, in particular to based on the group of intelligent pricing
User network selection method and system.
Background technique
Along with the development of network technology, the network mode of the connection of user becomes varied.Future, based on wireless
The heterogeneous network of WiFi, 4G and 5G use the major networks environment of wireless network by future customer is increasingly becoming.Heterogeneous network packet
Network containing a variety of wireless types, such as wifi, 3G network, 4G network, and following 5G network, wireless network locating for user
Network is comprising above a plurality of types of wireless network environments.Media content service based on a variety of heterogeneous networks, such as video
Streaming Media viewing, net cast, VR/AR application are increasingly becoming main service business mode in the following mobile Internet.So
And it is rich with multimedia content, the network resource requirement of related application service gradually increased is to limited wireless network
Network resource brings huge pressure.And under the wireless network environment of isomery, how reasonably to select appropriate access network with
Obtaining optimal network service experience becomes a kind of key technology of heterogeneous network.Access network selection scheme can be
It is customer-centric or network-driven.In the method for customer-centric, emphasis is to maximize user experience quality water
It is flat.However, this present several limitations, because user just knows that their link-quality, and not about network load
Information, this may influence user-perceptive quality and cause unstability due to frequent switching.In the solution party of network-driven
In case, target is by avoiding network congestion and selecting best interface to take in and protect come maximization network operator for each user
Hold higher whole user satisfaction.It is directed to the above problem, needs a kind of reasonable network selection and resource allocation mechanism, with
Just optimal availability energy is provided for user as much as possible.In general, the method for resource allocation is to be modeled as optimization problem,
Objective function and constraint are required to determine with the network standard by user.Objective function is commonly known as utility function, at given point
Timing characterizes user satisfaction resource.And under limited Internet resources, the number of users of the demand for services under current network
Variation also affects the variation of Internet resources distribution.Therefore, it is directed to the multimedia service of the multiplicity of user demand, establishes one kind
The user network selection method of intelligence, reasonable distribution Internet resources, so that the maximization that limited network resource usage reaches, mentions
User network service quality is risen, is of great significance to the application development of the multimedia service of the following heterogeneous wireless network.
Admission control scheme, the layering wireless resource management of the network selecting method of traditional heterogeneous network such as Vertical Handover
Method and performance analysis models for integrated cellular network and WLAN, do not account for accessing different types of nothing between user
It race problem during gauze network and the dynamic of network selection and does not account for passing in the service content of user demand
Defeated content has the characteristic of process.By taking video content as an example, video has the characteristic of time and process.Video content is different
Various rate distortions are had when transmitting in network environment.The variation of video quality will affect the behavior of user.Also, user behavior
Selection change and will lead to the variations of current network conditions, and then influence selecting network for user.
In heterogeneous radio access networks network, price be can be as resource allocation, and the mechanism and network of admission control select.
Traditional pricing method being applied in heterogeneous network is generally based on auction, the sum optimized based on demand/supply price
Method.However user, content and process of environmental change feature in heterogeneous network, above-mentioned pricing method can not
The utilization and configuration of resource in reasonably optimizing network, and reasonably change the action selection of user, it not can guarantee optimal
The income of operator and user, so that overall income reaches maximization.Therefore, it is necessary to propose one kind towards heterogeneous network ring
The pricing method of border change procedure characteristic, consideration user behavior selection intelligence, maximizes operator and the overall receipts of user
Benefit.
Summary of the invention
The purpose of the present invention is being directed to above-mentioned existing technological deficiency, a kind of group of subscribers net based on intelligent pricing is provided
Network selection method.Using network economics principle, joint considers the income of operator and user, a kind of intelligent is determined by establishing
The method of valence, during network environment and user group's quantity change, so that the income of user and operator reaches maximum
Change.Meanwhile this method passes through in view of heterogeneous network selection, the process characteristic of the service content of user demand and user's variation
It establishes a kind of with the selection algorithm independently evolved.
Specifically, the invention proposes a kind of group of subscribers network selecting method based on intelligent pricing, including:
User in the overlay area of the type of wireless network and every a kind of wireless network in step 1, statistics heterogeneous network
Population obtains each user group's number by user group's quantity divided by total number of users in the heterogeneous network
Measure the ratio of the total number of users of Zhan；
Step 2, the code rate that function and the wireless network are expressed according to the price of the ratio and the wireless network, obtain each
The payment cost function of the class wireless network gathers the pricing model of the payment cost function as the heterogeneous network；
Step 3, the code rate according to the wireless network and user are passed through using the expense of payment needed for every a kind of wireless network
The pricing model, obtains user's income of every class wireless network in the heterogeneous network, and user selects the nothing of maximum user's income
Gauze network is attached.
The group of subscribers network selecting method based on intelligent pricing, wherein the step 3 include:
The income of user under kth class Wireless Heterogeneous Networks are as follows: Uk=θkln(1+rk)-Qk, wherein UkFor user's income, θk
It is revenue factor, QkIt is the payment cost function of kth class wireless network.
The group of subscribers network selecting method based on intelligent pricing, wherein further include:
Step 4, the user in wireless network Population according to current type, the wireless network of the dynamic regulation current type
The corresponding payment cost function of network, specifically includes:
The user at T=t-1 moment and T=t moment in kth class wireless network is solved according to the dynamic replication factor to select
The ratio of the total number of users of quantity Zhan of k-th of wireless network: xk(t-1) and xk(t)；
Update the payment expense that t moment is fixed a price out:Wherein Qk(t-1) when being t-1
Carve the expense paid needed for the user that the kth class wireless network is fixed a price out, ρkIt is the Price factor of the kth class wireless network.
The group of subscribers network selecting method based on intelligent pricing, wherein the payment cost function is Qk(0)=
ω(xk(0))·rk(0), wherein ω () is that the price expresses function, xk(0) quantity of kth class wireless network is selected for user
Account for the ratio of whole number of users, rkIt (0) is the code rate of kth class wireless network.
The group of subscribers network selecting method based on intelligent pricing, the wherein wireless network type of the heterogeneous network
It include: wireless WiFi, 4G and 5G network.
The invention also provides a kind of group of subscribers network selection system based on intelligent pricing, including:
User in the overlay area of the type of wireless network and every a kind of wireless network in module 1, statistics heterogeneous network
Population obtains each user group's number by user group's quantity divided by total number of users in the heterogeneous network
Measure the ratio of the total number of users of Zhan；
Module 2, the code rate that function and the wireless network are expressed according to the price of the ratio and the wireless network, obtain each
The payment cost function of the class wireless network gathers the pricing model of the payment cost function as the heterogeneous network；
Module 3, the code rate according to the wireless network and user are passed through using the expense of payment needed for every a kind of wireless network
The pricing model, obtains user's income of every class wireless network in the heterogeneous network, and user selects the nothing of maximum user's income
Gauze network is attached.
The group of subscribers network selection system based on intelligent pricing, wherein the module 3 include:
The income of user under kth class Wireless Heterogeneous Networks are as follows: Uk=θkln(1+rk)-Qk, wherein UkFor user's income, θk
It is revenue factor, QkIt is the payment cost function of kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, wherein further include:
Module 4, the user in wireless network Population according to current type, the wireless network of the dynamic regulation current type
The corresponding payment cost function of network, specifically includes:
The user at T=t-1 moment and T=t moment in kth class wireless network is solved according to the dynamic replication factor to select
The ratio of the total number of users of quantity Zhan of k-th of wireless network: xk(t-1) and xk(t)；
Update the payment expense that t moment is fixed a price out:Wherein Qk(t-1) when being t-1
Carve the expense paid needed for the user that the kth class wireless network is fixed a price out, ρkIt is the Price factor of the kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, wherein the payment cost function is Qk(0)=
ω(xk(0))·rk(0), wherein ω () is that the price expresses function, xk(0) quantity of kth class wireless network is selected for user
Account for the ratio of whole number of users, rkIt (0) is the code rate of kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, the wherein wireless network type of the heterogeneous network
It include: wireless WiFi, 4G and 5G network.
As it can be seen from the above scheme the present invention has the advantages that
Since current heterogeneous network environment is complicated, dynamic variation characteristic is presented in the user group in heterogeneous network and user needs
The application service asked has the characteristics that Process Character and variational, so that the application service demand in wireless network environment of user
Experience sense is poor；Traditional static pricing method and heterogeneous network selection method can not be provided using current network well
Source promotes user experience of the user under complex network environment.Therefore, the present invention realizes a kind of use of price based on intelligence
Family network selecting method.The user network selection method of this price based on intelligence can be directed to network change, improve operation
The income of quotient, and user is enabled to obtain higher network service experience.It, should in the case where facing complex network environment
The higher robustness of method can guarantee that user service is used and experienced, and can satisfy user's various under future wireless network
Demand for services.The present invention has the advantages that high robust in changeable heterogeneous network environment, improves the use in heterogeneous network
The utilization rate of family experience and limited network resources.
Detailed description of the invention
Fig. 1 is the stable workflow of heterogeneous network group of subscribers Number dynamics；
Fig. 2 is intelligent pricing method workflow.
Specific embodiment
Inventor has found that solving existing defect can be by considering to compete in group of subscribers after studying existing heterogeneous network
Behavior solves the change in process characteristic of current network using the selection method with evolution characteristic.Firstly, being managed by Evolutionary Game
By solving the Population of each network in the heterogeneous network under dynamic stability of equilibrium, and then the group in determination process variation
Bulk properties.Secondly, by a kind of intelligent pricing method, while considering change of network environment and the variation of user group, it solves
The problem of how reasonably behavior of user being constrained in change procedure.
To achieve the above object, this method includes the following steps:
Step 1: heterogeneous network group of subscribers Number dynamics are stablized.The quantity K={ 1,2 ..., k } of current heterogeneous network and
The number of users of each network of user group's initial selected in overlay area is N={ n1,n2,…,nk}。
Step 2: establishing the intelligent pricing model changed based on group of subscribers.It is initial based on heterogeneous network group of subscribers quantity
Change the model, initializes the payment expense Q at T=0 momentk(0), Price factor ρk, can be for example the unit price of kth kind network tolling.
Step 3: obtaining according to step 1 and 2 as a result, acquiring network selecting method u of the user under heterogeneous network environmentn
(s)=1,2 ..., k }.
The step 1 includes:
Step 11, it is assumed that each heterogeneous network available network resource is W={ w1,w2,…,wk, wherein wkIt is wireless for kth class
The available bandwidth of network can calculate the code rate of kth kind network according to aromatic formula are as follows:pkTable
Show that user transmits the power for needing to consume, gkIndicate that channel gain, σ are the ambient noise in transmission process, rkIndicate current network
Under transmission code rate.
Step 12, under kth class wireless network user revenue function are as follows: Uk=θkln(1+rk)-Qk, the wherein receipts of user
Benefit is that user network experience subtracts the sum of the expense paid needed for user experience network, θkIt is revenue factor, revenue factor depends on
It is a variable, the demand journey depending on user itself to network quality in the type service of user's demand under wireless network
Degree, such as when demand Video service, revenue factor is higher than demand text class news etc., QkIt is the pricing method according to intelligence
Determining user obtains the expense paid needed for network service.Wherein intelligence specially payment expense can be according to current type
User in wireless network Population (such as number of users variation) under 4G network dynamically adjust the cost price.Due to
It is provided with the characteristic that perception Group variation is adjusted, therefore therefore there is the feature of intelligence.
Step 13, according to step 11, the analysis of step 12, the income of user is with the number of users under current network environment
(other users are related to the selection of heterogeneous network) and institute, operator fee charged are related.Consider the net under heterogeneous network
The Evolutionary Game method of network selection, the user in each region can choose its accessible wireless network.Therefore user can be
One period observes the income under other networks, and is chosen so that the higher network of its income, and this in next period
The progress that kind process can continue.
The step 13 includes:
Step 131, in entire heterogeneous network, the total number scale of user are as follows:User selects kth class
The ratio that the quantity of wireless network accounts for whole number of users I isThe number of users state of heterogeneous network can use vector x
=[x1,…xk,…xK] indicate.
Step 132, according to dynamic replication submethod, the quantity rate of change of each region user can be found out:Wherein UkK network income obtained is selected for user,For the flat of whole heterogeneous network user
Equal income, wherein
The step 2 includes:
Step 21, according to current number of network users and network environment, the kth class wireless network T=0 moment is initialized
Payment expense: Qk(0)=ω (xk(0))·rk(0), wherein ω () be initial pricing method function representation, xkIt (0) is T=
The quantity of 0 moment user selection kth class wireless network accounts for the ratio of whole number of users, rk(0) wireless for T=0 moment kth class
The code rate of network.
Step 22, it is solved according to the dynamic replication factor in heterogeneous network group of subscribers Number dynamics stable algorithm different
The user at T=t-1 moment and T=t moment in network forming network k selects the quantity of k-th of wireless network to account for whole number of users
Ratio: xk(t-1) and xk(t).In policy selection dynamic replication factor method can fast convergence, reach equilibrium solution, be
For solving a kind of method that group of subscribers Tactic selection reaches Population when evolution is stablized in the process.
Step 23, according to t-1 moment and the Population x of t momentk(t-1) and xk(t), t moment is updated to fix a price out
Payment expense:Wherein Qk(t-1) be the t-1 moment the user to fix a price out needed for payment
Expense, ρkIt is the Price factor under k network, can limits or loosen the housing choice behavior of user by adjusting Price factor.
To allow features described above and effect of the invention that can illustrate more clearly understandable, special embodiment below, and cooperate
Bright book attached drawing is described in detail below.
1, with the group of subscribers heterogeneous network selection method independently evolved:
In order to realize the network select permeability of complicated heterogeneous network environment, solved using the selection method with evolution characteristic
The change in process characteristic of current network.By evolutionary game theory, solve each in the heterogeneous network under dynamic stability of equilibrium
The Population of network, and then the group property in determination process variation.Secondly by a kind of intelligent pricing method, examine simultaneously
Consider the variation of change of network environment and user group, solves how reasonably to constrain the behavior of user in change procedure
The problem of.Group-oriented user heterogeneous network selection of the present invention, proposes a kind of group of subscribers heterogeneous network based on intelligent pricing
Network selection algorithm.The algorithm mainly includes that 3 modules, wherein user's income calculation module and Population rate of change calculate mould
Block calculate really to the rate of change of the Population in heterogeneous network using profit calculating formula and dynamic replication submethod
It is fixed；The situation of Profit of user is updated in conjunction with intelligent pricing module, and then determines the Population of each heterogeneous network zone user
And network environment.Export the network selection of end user.
1) heterogeneous network group of subscribers Number dynamics stable algorithm:
The critical process of heterogeneous network group of subscribers Number dynamics stable algorithm is as shown in Figure 1, key step includes:
Each number of network users when initial is N=(n1,n2,…,nK), nkThe number of users under k-th of network is represented,
With vector x=[x1,…,xK] ratio of total number of users shared by number of users under each network is represented, xk is represented under k-th of network
The ratio of total number of users shared by number of users,Y indicates other networks except each network under another policy selection
Number of users.When tactful x is in convergence, to arbitrary y ≠ x, ε ∈ (0,1), the income of group of subscribers under any one network
It will all meet with lower inequality:
U (x, (1- ε) x+ ε y) > U (y, (1- ε) x+ ε y)
At the end of convergence, the quantity of user under each network of stable equilibrium is exported
Step S1, determining for the number of users of network acquires.According to current network population profile, user group's vector is formed
N={ n1,n2,…,nk, nkRepresent the number of users of connection kth class wireless network；
Step S2, the code rate of each heterogeneous network is calculated.According to each heterogeneous network available network resource, using aromatic formula,
Calculate the code rate r of each heterogeneous networkk；
Step S3, the income of user under each heterogeneous network is determined.It is used according to the code rate of each heterogeneous network and user different
The expense paid needed for the service of network forming network is sought every under heterogeneous network by user's profit calculating formula and intelligent pricing model
User's income of kind network.
Step S4, the quantity rate of change of each region user is found out: according to user's income of each heterogeneous network and whole
It uses in each heterogeneous network region that the average yield of body user and user group's quantity of current time t acquire procedure-oriented variation
The quantity rate of change at family.
Step S5, the user group's quantity for exporting current time t, passes to intelligent pricing model.
2) it is updated based on the intelligent pricing model real-time model of group and Network status:
Intelligent pricing model Real-Time Pricing process based on group and Network status is as shown in Fig. 2, key step includes:
Step S6, the parameter of initialization model.According to the initial pricing function of kth class wireless network and T=0 moment user
The quantity of selection kth class wireless network accounts for the ratio of whole number of users and the code rate of T=0 moment kth class wireless network,
Initialize the payment expense Q at kth class wireless network T=0 momentk(0), Price factor ρk；
Step S7, each network colony number of users of heterogeneous network is obtained.Current time t and previous moment t- is obtained respectively
The quantity of 1 user's k-th of wireless network of selection accounts for the ratio of whole number of users；
Step S8, the network charges price of t moment is updated.S2-S3 step updates pricing strategy method through the above steps,
Joint heterogeneous network group of subscribers Number dynamics stable algorithm, the final payment cost price for solving dynamic stability.
Step S9, it is selected according to the user network that payment cost price acquires dynamic stability under final each network.
According to current payment expense, it is capable of determining that the integral benefit of current user, that is, the network service body obtained
The amount of checking the quality subtracts the cost of currently used network.It, can be dynamic according to 1) heterogeneous network group of subscribers quantity by the income of user
State stable algorithm solves the number of users under each network, and current number of users is stable and equilibrium, each
The income of user under network is all the maximization that can be obtained income under current state.It is without a network
Under user can increase oneself income and the network insertion for changing me selects.User is not to select payment expense most
Small network connection, but the network that can be obtained Income Maximum under current state is selected to be attached.Such as: I thinks now
See that video, possible current wifi signal are not very well, although currently selecting wifi to access me can not spend or pay very
Few expense, but to me, viewing video that can be smooth is only and me can be allowed to obtain income, so, I may
4G network is selected to carry out video-see, although I pays certain campus network, the viewing video that I can be smooth,
So such selection is Income Maximum to me.For network operator, the purpose of intelligent pricing strategy, is
The access to each network that user can dynamically be adjusted selects, and makes full use of limited wireless network resource, so that resource
It is more reasonable to distribute, and also improves the web experience of user in turn, also allows oneself that can obtain more incomes.
The following are system embodiment corresponding with above method embodiment, present embodiment can be mutual with above embodiment
Cooperation is implemented.The relevant technical details mentioned in above embodiment are still effective in the present embodiment, in order to reduce repetition,
Which is not described herein again.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in above embodiment.
The invention also provides a kind of group of subscribers network selection system based on intelligent pricing, including:
User in the overlay area of the type of wireless network and every a kind of wireless network in module 1, statistics heterogeneous network
Population obtains each user group's number by user group's quantity divided by total number of users in the heterogeneous network
Measure the ratio of the total number of users of Zhan；
Module 2, the code rate that function and the wireless network are expressed according to the price of the ratio and the wireless network, obtain each
The payment cost function of the class wireless network gathers the pricing model of the payment cost function as the heterogeneous network；
Module 3, the code rate according to the wireless network and user are passed through using the expense of payment needed for every a kind of wireless network
The pricing model, obtains user's income of every class wireless network in the heterogeneous network, and user selects the nothing of maximum user's income
Gauze network is attached.
The group of subscribers network selection system based on intelligent pricing, wherein the module 3 include:
The income of user under kth class Wireless Heterogeneous Networks are as follows: Uk=θkln(1+rk)-Qk, wherein UkFor user's income, θk
It is revenue factor, QkIt is the payment cost function of kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, wherein further include:
Module 4, the user in wireless network Population according to current type, the wireless network of the dynamic regulation current type
The corresponding payment cost function of network, specifically includes:
The user at T=t-1 moment and T=t moment in kth class wireless network is solved according to the dynamic replication factor to select
The ratio of the total number of users of quantity Zhan of k-th of wireless network: xk(t-1) and xk(t)；
Update the payment expense that t moment is fixed a price out:Wherein Qk(t-1) when being t-1
Carve the expense paid needed for the user that the kth class wireless network is fixed a price out, ρkIt is the Price factor of the kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, wherein the payment cost function is Qk(0)=
ω(xk(0))·rk(0), wherein ω () is that the price expresses function, xk(0) quantity of kth class wireless network is selected for user
Account for the ratio of whole number of users, rkIt (0) is the code rate of kth class wireless network.
The group of subscribers network selection system based on intelligent pricing, the wherein wireless network type of the heterogeneous network
It include: wireless WiFi, 4G and 5G network.
To sum up, the invention mainly comprises 3 modules: 1) user's income calculation module uses user's profit calculating formula meter
Calculate each user group income obtained in heterogeneous network.2) user group's quantity rate of change computing module uses dynamic
Replicator method determines each network user's Population in heterogeneous network change procedure according to calculated user's income
The rate 3 of variation) intelligent pricing module, using the Intelligent evolution calculation method of increment type, for the Process Character change of user group
The features such as change, the variation of network code rate, the cost price being determined for compliance under current network.The algorithm is mainly for changeable network rings
The Process Character in border and user's variation by establishing there is the heterogeneous network selection algorithm independently evolved effectively to improve heterogeneous network
The robustness of selection.In addition, the model uses the calculating that intelligent pricing method carries out user's income, it is reasonable to constrain user couple
The use of Internet resources, and the variation for capableing of Network Environment is that user and network operator bring maximized income.
The technology of the present invention effect includes: user oriented heterogeneous network of the present invention selection, is proposed a kind of based on intelligent pricing
Group of subscribers heterogeneous network selection algorithm, the algorithm include income calculation module, Population variation pattern computing module, intelligence
Pricing module merges economic theory to the advantage of group's resource allocation, and the model optimization of the intelligent pricing using increment type
Expense pricing method.Network service experience, the heterogeneous network selection of user group are promoted in the case where considering the emulative mode of user
Robustness and Internet resources utilization efficiency, improve the income of operator.
Claims (10)
1. a kind of group of subscribers network selecting method based on intelligent pricing characterized by comprising
User group in the overlay area of the type of wireless network and every a kind of wireless network in step 1, statistics heterogeneous network
Quantity obtains each user group's quantity and accounts for by user group's quantity divided by total number of users in the heterogeneous network
The ratio of total number of users；
Step 2, the code rate that function and the wireless network are expressed according to the price of the ratio and the wireless network, obtaining every one kind should
The payment cost function of wireless network gathers the pricing model of the payment cost function as the heterogeneous network；
Step 3, the code rate according to the wireless network and user are determined using the expense of payment needed for every a kind of wireless network by this
Valence model, obtains user's income of every class wireless network in the heterogeneous network, and user selects the wireless network of maximum user's income
Network is attached.
2. the group of subscribers network selecting method based on intelligent pricing as described in claim 1, which is characterized in that the step 3
Include:
The income of user under kth class Wireless Heterogeneous Networks are as follows: Uk=θkln(1+rk)-Qk, wherein UkFor user's income, θkIt is to receive
The beneficial factor, QkIt is the payment cost function of kth class wireless network.
3. the group of subscribers network selecting method based on intelligent pricing as claimed in claim 2, which is characterized in that further include:
Step 4, the user in wireless network Population according to current type, the wireless network pair of the dynamic regulation current type
The payment cost function answered, specifically includes:
According to the dynamic replication factor solve the user at T=t-1 moment and T=t moment in kth class wireless network select this
The ratio of the total number of users of quantity Zhan of k wireless network: xk(t-1) and xk(t)；
Update the payment expense that t moment is fixed a price out:Wherein QkIt (t-1) is that the t-1 moment should
The expense paid needed for the user that kth class wireless network is fixed a price out, ρkIt is the Price factor of the kth class wireless network.
4. the group of subscribers network selecting method based on intelligent pricing as claimed in claim 2 or claim 3, which is characterized in that the branch
Paying cost function is Qk(0)=ω (xk(0))·rk(0), wherein ω () is that the price expresses function, xk(0) it is selected for user
The quantity of kth class wireless network accounts for the ratio of whole number of users, rkIt (0) is the code rate of kth class wireless network.
5. the group of subscribers network selecting method based on intelligent pricing as described in claim 1, which is characterized in that the heterogeneous network
The wireless network type of network includes: wireless WiFi, 4G and 5G network.
6. a kind of group of subscribers network selection system based on intelligent pricing characterized by comprising
User group in the overlay area of the type of wireless network and every a kind of wireless network in module 1, statistics heterogeneous network
Quantity obtains each user group's quantity and accounts for by user group's quantity divided by total number of users in the heterogeneous network
The ratio of total number of users；
Module 2, the code rate that function and the wireless network are expressed according to the price of the ratio and the wireless network, obtaining every one kind should
The payment cost function of wireless network gathers the pricing model of the payment cost function as the heterogeneous network；
Module 3, the code rate according to the wireless network and user are determined using the expense of payment needed for every a kind of wireless network by this
Valence model, obtains user's income of every class wireless network in the heterogeneous network, and user selects the wireless network of maximum user's income
Network is attached.
7. the group of subscribers network selection system based on intelligent pricing as claimed in claim 6, which is characterized in that the module 3
Include:
The income of user under kth class Wireless Heterogeneous Networks are as follows: Uk=θkln(1+rk)-Qk, wherein UkFor user's income, θkIt is to receive
The beneficial factor, QkIt is the payment cost function of kth class wireless network.
8. the group of subscribers network selection system based on intelligent pricing as claimed in claim 7, which is characterized in that further include:
Module 4, the user in wireless network Population according to current type, the wireless network pair of the dynamic regulation current type
The payment cost function answered, specifically includes:
According to the dynamic replication factor solve the user at T=t-1 moment and T=t moment in kth class wireless network select this
The ratio of the total number of users of quantity Zhan of k wireless network: xk(t-1) and xk(t)；
Update the payment expense that t moment is fixed a price out:Wherein QkIt (t-1) is that the t-1 moment should
The expense paid needed for the user that kth class wireless network is fixed a price out, ρkIt is the Price factor of the kth class wireless network.
9. the group of subscribers network selection system based on intelligent pricing as claimed in claim 7 or 8, which is characterized in that the branch
Paying cost function is Qk(0)=ω (xk(0))·rk(0), wherein ω () is that the price expresses function, xk(0) it is selected for user
The quantity of kth class wireless network accounts for the ratio of whole number of users, rkIt (0) is the code rate of kth class wireless network.
10. the group of subscribers network selection system based on intelligent pricing as claimed in claim 6, which is characterized in that the isomery
The wireless network type of network includes: wireless WiFi, 4G and 5G network.
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