CN105744592B

CN105744592B - A kind of business access method based on heterogeneous wireless network, apparatus and system

Info

Publication number: CN105744592B
Application number: CN201610222121.XA
Authority: CN
Inventors: 王晓湘; 冯英萍; 王冬宇; 王玉龙; 刘健; 褚平
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2016-04-11
Filing date: 2016-04-11
Publication date: 2019-09-06
Anticipated expiration: 2036-04-11
Also published as: CN105744592A

Abstract

The embodiment of the invention provides a kind of business access methods based on heterogeneous wireless network, apparatus and system.The specific embodiment of the method includes: the bandwidth demand for the first business for obtaining network to be accessed and each network parameter values of each candidate network；According to user for the weighting levels of each network parameter of the first business input and each network parameter values of each candidate network, determine the first business to the satisfaction of each candidate network；Access request is sent to the corresponding target candidate network of Maximum Satisfaction value；When receiving allows access information, by target candidate network described in first service access；When receiving refusal access information, target candidate network is deleted from candidate network, carries out the step of sending access request to the corresponding target candidate network of Maximum Satisfaction value.The present embodiment can be directed to optimization when different types of business realizing service access network, improve user to the total satisfactory grade of service access.

Description

Service access method, device and system based on heterogeneous wireless network

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a service access method, apparatus, and system based on a heterogeneous wireless network.

Background

In recent years, with the competition and development of mobile communication and broadband wireless access technologies, wireless networks with different technical standards exhibit remarkable heterogeneity, for example, these networks may include universal mobile Telecommunications system (umts), long Term evolution (lte), worldwide Interoperability for Microwave access (wwax), wireless Local Area network (wlan), and so on. Coexistence and heterogeneous convergence among different types of networks will be a necessary trend for future mobile communication development. In general, we refer to a terminal of a network capable of supporting a plurality of different technical standards as a multimode terminal. With the increasing popularity of multi-mode terminals, it is becoming increasingly practical for users to access heterogeneous networks conveniently, quickly, and seamlessly. When there are several different types of services (e.g., voice service, video service, file transfer service, etc.) that need to be transmitted simultaneously, the multimode terminal receives more and more attention on how to implement service access between different candidate networks.

In the prior art, early network selection algorithms were based on single attribute network selection in terms of the network attributes considered. With the intensive research on network selection algorithms, the research trend of heterogeneous network access selection problems gradually turns to the research of multi-attribute network decisions. However, the existing research results generally only consider some network attributes, such as only the attributes in the QoS (quality of service) performance of the access network, but do not comprehensively consider the network attributes in multiple aspects, which results in that the network selected for access is not suitable enough and the user experience is poor.

In addition, when calculating the utility value, the prior art generally does not select the utility function differently according to the characteristics of the network parameters, but adopts a single utility function. In addition, when the weight of the network is calculated, the weight is generally calculated according to objective factors such as network parameters and the like, and subjective factors of users are not combined, so that the selected network is not suitable enough, and the user satisfaction is low.

In terms of network selection for multiple services, there are network selection algorithms in the prior art that select a network for a group of calls (which may include multiple services), so that the multiple services included in the group call will access a network simultaneously, such as group decision technology, personal indoor and mobile radio communications GDMT algorithms. When access selection is performed, although some network selection algorithms set different priority levels for different services in a group of calls, for example, allocate the highest priority to a voice service, allocate the second highest priority to a video service, and allocate the lowest priority to a file transfer service, this method cannot dynamically select different networks for different services, and always give priority to some services, and the transmission of other services is not fair, so that the overall satisfaction of a user for various services is reduced, for example, an intelligent access selection (IANS) algorithm in a heterogeneous network.

Disclosure of Invention

The embodiment of the invention aims to provide a service access method, a device and a system based on a heterogeneous wireless network, which can realize optimization of service access to the network aiming at different types of services and improve the overall satisfaction degree of users on service access.

In order to achieve the above object, the present invention discloses a service access method based on a heterogeneous wireless network, which is applied to a terminal, and the method comprises:

A. when detecting that a first service of a network to be accessed exists, acquiring the bandwidth requirement of the first service, and acquiring each network parameter value of each candidate network;

B. determining the satisfaction degree of the first service to each candidate network according to the weight level of each network parameter input by a user for the first service and each network parameter value of each candidate network;

C. sending an access request to a target candidate network corresponding to the maximum satisfaction degree;

D. when receiving access permission information returned by the target candidate network, accessing the first service to the target candidate network; and when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate network, and executing the step C.

Preferably, the determining the satisfaction degree of the first service on each candidate network according to the weight level of each network parameter input by the user for the first service and each network parameter value of each candidate network comprises:

for each network parameter, determining the comprehensive weight of the network parameter according to the weight level of the network parameter input by a user for the first service and the acquired network parameter value of each candidate network;

for each candidate network, determining a utility value of each network parameter of the candidate network according to each network parameter value of the candidate network and a preset utility function formula of each network parameter;

aiming at each candidate network, obtaining a weighted utility value of each network parameter of the candidate network according to the determined comprehensive weight of each network parameter and the determined utility value of each network parameter of the candidate network;

obtaining a decision coefficient of each candidate network according to the obtained weighted utility value of each network parameter of each candidate network, the determined comprehensive weight of each network parameter and a preset decision formula;

and determining the satisfaction degree of the first service to each candidate network according to the obtained judgment coefficient of each candidate network and a preset normalization formula.

Preferably, the determining the comprehensive weight of the network parameter comprises:

the weight level of the network parameter input by the user for the first service anddetermining a first weight of the network parameter; wherein,is a first weight, F, of a jth network parameter_jThe weight grade of the jth network parameter input by the user aiming at the first service is shown, and n is the total quantity of the network parameters;

according to the obtained network parameter value of each candidate network anddetermining a second weight of the network parameter; wherein,a second weight for a jth network parameter,x_ija j network parameter value of the ith candidate network, m is the total number of the candidate networks, n is the total number of the network parameters, and lambda is a constant;

according to the determined first weight and second weight of the network parameter anddetermining a composite weight of the network parameter; wherein, w_jIs the integrated weight of the jth network parameter,is a first weight of a jth network parameter,a second weight for the jth network parameter, n being the number of network parameters, α₁And α₂Is a constant.

Preferably, the determining the utility value of each network parameter of the candidate network comprises:

determining a utility value of each network parameter of the candidate network according to each network parameter of the candidate network and any one of the following formulas:

the formula includes:orOrOrOrWherein, u_ijthe utility value of the jth network parameter of the ith candidate network, e is the base of the natural logarithm, x_ijA jth network parameter value of the ith candidate network is obtained, n is the number of the network parameters, and a, b and c are constants; when the network parameter includes available bandwidth, selecting for useCalculating utility values of the network parameters; when the network parameters include time delay and packet loss rate, the network parameters are selectedCalculating utility values of the network parameters; when the network parameter includes power consumption, u is selected_ij＝-cx_ij+1 calculating utility values of the network parameters; when the network parameter includes security, selecting for useCalculating utility values of the network parameters; when the network parameter includes a price, selectingAnd calculating the utility value of the network parameter.

Preferably, the obtaining the decision coefficient of each candidate network includes:

according to the obtained utility value after each network parameter of each candidate network is weighted, the determined comprehensive weight of each network parameter andobtaining a decision coefficient of each candidate network; wherein,is the decision coefficient for the ith candidate network, v_ijweighted utility value, w, for jth network parameter of ith candidate network_jAnd n is the total number of the network parameters.

Preferably, the determining the satisfaction degree of the first service to each candidate network comprises:

based on the obtained decision coefficient of each candidate network anddetermining satisfaction of the first service to each candidate network; wherein M is_iFor the satisfaction of the first service with the ith candidate network,and m is the total number of the candidate networks.

In order to achieve the above object, the present invention also discloses a service access device based on a heterogeneous wireless network, which is applied to a terminal, and the device comprises:

the information acquisition module is used for acquiring the bandwidth requirement of a first service when the first service of a network to be accessed is detected to exist, and acquiring each network parameter value of each candidate network;

the satisfaction determining module is used for determining the satisfaction of the first service to each candidate network according to the weight level of each network parameter input by a user aiming at the first service and each network parameter value of each candidate network;

the request sending module is used for sending an access request to a target candidate network corresponding to the maximum satisfaction degree;

the service access module is used for accessing the first service to the target candidate network when receiving the access permission information returned by the target candidate network; and when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate network, and triggering a request sending module.

In order to achieve the above object, the present invention also discloses a service access system based on the heterogeneous wireless network, which comprises a terminal and an access point corresponding to a target candidate network;

the terminal is used for acquiring the bandwidth requirement of a first service when the first service of a network to be accessed is detected to exist, and acquiring each network parameter value of each candidate network; determining the satisfaction degree of the first service to each candidate network according to the weight level of each network parameter input by a user for the first service and each network parameter value of each candidate network; sending an access request to a target candidate network corresponding to the maximum satisfaction degree; when receiving the information which is returned by the target candidate network and allows access, accessing the first service to the target candidate network; when receiving the information of refusing access returned by the target candidate network, deleting the target candidate network from the candidate network, and executing the step of sending an access request to the target candidate network corresponding to the maximum satisfaction degree;

and the access point corresponding to the target candidate network is used for receiving the access request of the first service sent by the terminal and judging whether the first service can be accessed, if so, sending access permission information to the terminal, and otherwise, sending access rejection information to the terminal.

Preferably, the terminal is further configured to send the satisfaction degree of the first service on the target candidate network to an access point corresponding to the target candidate network;

the access point is also used for receiving the satisfaction degree of the first service sent by the terminal to the current access point;

judging whether the bandwidth requirement of the first service is smaller than the current available bandwidth;

if yes, sending access permission information to the terminal;

otherwise, judging whether a second service with the satisfaction degree smaller than that of the first service exists in the currently accessed services, and if not, sending access refusing information to the terminal; if so, selecting a target second service according to the bandwidth requirement of the first service and the current available bandwidth, stopping the target second service, and sending access permission information to the terminal.

Preferably, the access point is specifically configured to rank each second service according to the corresponding satisfaction degree thereof, sequentially determine, according to a sequence from small to large of the satisfaction degrees, whether a sum of a bandwidth requirement of each second service and a current available bandwidth of the access point is greater than a bandwidth requirement of the first service, and if so, select the second service as the target second service.

According to the technical scheme, in the embodiment of the invention, the terminal determines the satisfaction degree of the first service to each candidate network according to the weight level of each network parameter input by the user aiming at the first service and each network parameter value of each candidate network, sends an access request to a target candidate network corresponding to the maximum satisfaction degree, and accesses the first service to the target candidate network when receiving the access permission information returned by the target candidate network; and when receiving the access rejection information returned by the target candidate network, reselecting other target candidate networks with the highest satisfaction degree, and sending an access request until the first service is accessed to the network. Further, the terminal is also used for sending the satisfaction degree of the first service to the target candidate network to the access point corresponding to the target candidate network; when the access point judges whether the first service can be accessed, the selection is carried out according to the satisfaction degree of the current self accessed service.

That is to say, the satisfaction degree of the first service to each network is determined through the network parameter value of each network and the weight level of each network parameter input by the user for the first service, and the candidate network for accessing the first service is selected according to the satisfaction degree, that is, when the service is accessed, each network parameter and the weight level of the user to the network parameter are comprehensively referred according to different services, so that the optimization of the service when the service is accessed to the network can be realized for different services, and the overall satisfaction degree of the user for the service access is improved.

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. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.

Fig. 1 is a schematic flowchart of a service access method based on a heterogeneous wireless network according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of the overall network parameter and local network parameter structure;

FIG. 3 is a scene distribution diagram of a simulation example provided by an embodiment of the present invention;

FIG. 4 is a diagram illustrating results of selecting networks for services at different locations in a simulation example provided by an embodiment of the present invention;

fig. 5 is a schematic diagram of terminal switching times under different network selection algorithms in a simulation example provided by the embodiment of the present invention;

fig. 6 is a schematic diagram of the service completion rate at the P1 position in the simulation example provided by the embodiment of the present invention;

FIG. 7 is a diagram illustrating the overall average business satisfaction at position P1 in a simulation example provided by an embodiment of the present invention;

fig. 8 is a schematic diagram of the service completion rate at the P2 position in the simulation example provided by the embodiment of the present invention;

FIG. 9 is a diagram illustrating the overall average business satisfaction at position P2 in a simulation example provided by an embodiment of the present invention;

FIG. 10 is a schematic diagram illustrating the completion rate of the service at the position P3 in the simulation example provided by the embodiment of the present invention;

FIG. 11 is a diagram illustrating the overall average business satisfaction at position P3 in a simulation example provided by an embodiment of the present invention;

fig. 12 is a schematic structural diagram of a service access apparatus based on a heterogeneous wireless network according to an embodiment of the present invention;

fig. 13 is a schematic structural diagram of a service access system based on a heterogeneous wireless network according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

The embodiment of the invention provides a service access method, a device and a system based on a heterogeneous wireless network, which can realize optimization of service access to the network aiming at different services and improve the overall satisfaction degree of a user on service access.

The present invention will be described in detail below with reference to specific examples.

Fig. 1 is a flowchart of a service access method based on a heterogeneous wireless network according to an embodiment of the present invention, which is applied to a terminal and includes the following steps:

step 101: when detecting that a first service of a network to be accessed exists, acquiring the bandwidth requirement of the first service, and acquiring each network parameter value of each candidate network.

Specifically, the first service includes a voice service, a video streaming service, a file transfer service, and the like. The network parameters include one or more of available bandwidth, time delay, packet loss rate, energy consumption and security, and the network parameters may also include cost. The available bandwidth, the time delay and the packet loss rate belong to parameters affecting the QoS and are changed along with time. Energy consumption, cost and safety are generally fixed for a long period of time. When the network parameter values of the candidate network are obtained, only the parameter values of available bandwidth, time delay, packet loss rate and the like which change along with time can be obtained, and energy consumption, cost and safety can be directly saved in the terminal.

The terminal obtains each network parameter value of the candidate network belongs to the prior art, and the specific process is not described herein again.

When the terminal detects that the first service of the network to be accessed exists, the bandwidth requirement carried in the first service can be directly acquired, and the acquisition process belongs to the prior art.

The terminal comprises electronic equipment such as a mobile terminal and the like.

Step 102: and determining the satisfaction degree of the first service on each candidate network according to the weight level of each network parameter input by the user for the first service and each network parameter value of each candidate network.

Assume that the first service is a voice service, the candidate networks include network 1, network 2, and network 3, and each network parameter includes available bandwidth, latency, energy consumption, and price. The weighting levels of available bandwidth, time delay, energy consumption and price of four network parameters input by a user for a first service are respectively 3, 5, 1 and 2. Assume that each network parameter value obtained for each network is shown in table 1.

TABLE 1

From the above data, the satisfaction value of the first service for each candidate network can be determined as follows:

network 1: 0.5

And 2, network 2: 1

Network 3: 0

It can be seen that the first service, i.e. the voice service, has the greatest satisfaction with the network 2 and the least satisfaction with the network 3.

Specifically, there may be a plurality of methods for determining the satisfaction of the first service with each network according to the weight level of the network parameter input by the user and the value of the network parameter of each candidate network.

Step 103: and sending an access request to a target candidate network corresponding to the maximum satisfaction degree.

Step 104: when receiving access permission information returned by the target candidate network, accessing the first service to the target candidate network; and when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate networks, and executing step 103.

For example, for the satisfaction of the first service obtained in step 102 on three candidate networks, the access request is sent to the network 2 corresponding to the maximum satisfaction, and if the network 2 rejects the access of the first service, the network 2 is deleted from the candidate networks, and then the access request is sent to the network 1.

As can be seen from the above, in this embodiment, the satisfaction of the first service to each network is determined according to the network parameter value of each network and the weight level of each network parameter for the first service, which is input by the user, and the candidate network to which the first service is accessed is selected according to the satisfaction, that is, when the service is accessed, each network parameter and the subjective weight of the user on the network parameter are comprehensively referred to according to different services, so that optimization when the service is accessed to the network can be achieved for different services, and the overall satisfaction of the user on the service access is improved.

In another embodiment of the present invention, in order to more scientifically and effectively determine the satisfaction of the first service on each candidate network, step 102 in the method embodiment shown in fig. 1 may determine the satisfaction of the first service on each candidate network according to the weight level of each network parameter input by the user for the first service and each network parameter value of each candidate network, and may include the steps of:

step 1: and aiming at each network parameter, determining the comprehensive weight of the network parameter according to the weight level of the network parameter input by the user aiming at the first service and the acquired network parameter value of each candidate network.

In this embodiment, in step 1, the determining the comprehensive weight of the network parameter may specifically include:

step 1A: and determining the first weight of the network parameter according to the weight grade of the network parameter input by the user aiming at the first service and a preset first weight formula.

Specifically, the weight level of the network parameter input by the user for the first service is determined, anda first weight of the network parameter is determined. Wherein,is a first weight, F, of a jth network parameter_jAnd the weight grade of the jth network parameter input by the user for the first service is shown, and n is the total number of the network parameters.

The weighting level of each network parameter input by the user for the first service may be a numerical value or a text, such as a high, low, or medium fuzzy value. When the fuzzy value is input by the user, the fuzzy value needs to be converted into a quantified numerical value, and the specific conversion process can refer to the result of the triangle fuzzy operation theory, which is shown in table 2.

TABLE 2

Assuming that, for the first service, the weight levels input by the user for the network parameters such as available bandwidth, delay, energy consumption, and price are High, Very High, Low, and Medium, respectively, then these weight levels can be converted into quantified values according to the contents in table 2, which are: 0.7, 0.8333, 0.3, and 0.5.

In practical applications, parameters such as available bandwidth and delay are generally classified as quality of service QoS, which is an expression of service performance that determines how well a candidate network meets the requirements of service users. For the QoS class division, other factors including user preference, network conditions, service types, and the like are comprehensively considered, so that QoS (including available bandwidth, delay, and the like) and 4 types of parameters such as power consumption, cost, security, and the like are often referred to as global network parameters (GW), and secondary weights such as available bandwidth, delay, packet loss rate, and the like are referred to as Local network parameters (LW). Fig. 2 is a schematic structural diagram of the overall network parameters and the local network parameters. When the user actually sets the weight level of the network parameter, it may be set for the overall network parameter and the local network parameter.

When the user sets a weight level for the overall network parameter and the local network parameter of each candidate network, respectively, determining the first weight of each network parameter may include:

the method comprises the steps of firstly respectively calculating the weights of the whole network parameters and the local network parameters according to a preset first weight formula, and then multiplying the weights of the whole network parameters by the weights of the corresponding local network parameters to obtain the first weight of each network parameter. I.e. according toRespectively calculating the weights of the whole network parameters and the local network parameters to obtain a weight set GW' ═ w of each whole network parameter_Q',w_E',w_C',w_S']And a set of weights LW for each local network parameter w_R',w_D']. Wherein for GW, n is 4; for LW, n is 2. Multiplying the weight of the whole network parameter by the weight of the corresponding local network parameter to finally obtain the first weight W of all the network parameters_H＝[w_R',w_D',w_E',w_C',w_S']Wherein, w'_R＝w_Q'×w_R',w'_D＝w_Q'×w_D'。

For example, the overall network parameters QoS, power consumption, cost and security input by the user have weight levels of 4, 1, 3 and 2, respectively, and the available bandwidth and delay of the input local network parameters have weight levels of 1 and 9, respectively. Then the weight for each overall network parameter can be found: the QoS is weighted to 4/(4+1+3+2) to 0.4, the power consumption is weighted to 1/(4+1+3+2) to 0.1, the cost is weighted to 3/(4+1+3+2) to 0.3, and the security is weighted to 2/(4+1+3+2) to 0.2. The weight of each local network parameter can be found: the available bandwidth is weighted to 1/(1+9) ═ 0.1, and the delay is weighted to 9/(1+9) ═ 0.9. The first weights of the available bandwidth and the time delay are respectively: the weight of QoS is 0.4 × 0.9 ═ 0.36, and the weight of QoS is 0.4 × 0.1 ═ 0.04. Finally, the first weights of available bandwidth, time delay, power consumption, cost and security are respectively: 0.04, 0.36, 0.1, 0.3 and 0.2.

Step 1B: and determining a second weight of the network parameter according to the acquired network parameter value of each candidate network and a preset second weight formula.

Specifically, according to the obtained network parameter value of each candidate network anddetermining a second weight of the network parameter; wherein,a second weight for a jth network parameter, x_ijthe value of the jth network parameter of the ith candidate network is obtained, m is the total number of the candidate networks, n is the total number of the network parameters, and lambda is a constant.

When the network parameters include parameters such as security, the parameter values of such parameters are generally expressed in language words as parameter values, e.g., the security of the candidate network is very good, bad, very bad, etc. In this embodiment, such language parameters need to be converted into quantified values, and the specific conversion process can refer to the result of the triangle fuzzy operation theory, see table 3.

TABLE 3

Assuming that the security of the candidate network 1 belongs to a Very Good (VG) level, the parameter value of its corresponding security is 9.5.

Step 1C: and determining the comprehensive weight of the network parameter according to the determined first weight and second weight of the network parameter and a preset comprehensive weight formula.

In particular, according to the determined first weight and second weight of the network parameter anddetermining a composite weight of the network parameter. Wherein, w_jIs the integrated weight of the jth network parameter,is a first weight of a jth network parameter,a second weight for the jth network parameter, n being the number of network parameters, α₁And α₂Is a constant.

Step 2: and aiming at each candidate network, determining the utility value of each network parameter of the candidate network according to each network parameter value of the candidate network and a preset utility function formula of each network parameter.

Specifically, the utility value of each network parameter of the candidate network is determined according to each network parameter of the candidate network and any one of the following formulas:

the formula includes:orOr u_ij＝-cx_ij+1 orOrWherein, u_ijthe utility value of the jth network parameter of the ith candidate network, e is the base of the natural logarithm, x_ijA jth network parameter value of the ith candidate network is obtained, n is the number of the network parameters, and a, b and c are constants; when the network parameter includes available bandwidth, selecting for useCalculating utility values of the network parameters; when the network parameters include time delay and packet loss rate, the network parameters are selectedCalculating utility values of the network parameters; when the network parameter includes power consumption, u is selected_ij＝-cx_ij+1 calculating utility values of the network parameters; when the network parameter includes security, selecting for useCalculating utility values of the network parameters; when the network parameter includes a price, selectingAnd calculating the utility value of the network parameter.

And step 3: aiming at each candidate network, obtaining a weighted utility value of each network parameter of the candidate network according to the determined comprehensive weight of each network parameter and the determined utility value of each network parameter of the candidate network;

specifically, for each candidate network, each comprehensive weight of the candidate network is multiplied by the utility value of each network parameter, and a weighted utility value of each network parameter of the candidate network can be obtained.

And 4, step 4: and obtaining a decision coefficient of each candidate network according to the obtained weighted utility value of each network parameter of each candidate network, the determined comprehensive weight of each network parameter and a preset decision formula.

Specifically, the utility value weighted according to each network parameter of each candidate network, the comprehensive weight of each network parameter anda decision coefficient for each candidate network is obtained. Wherein,is the decision coefficient for the ith candidate network, p＝2，v_ijweighted utility value, w, for jth network parameter of ith candidate network_jFor integral weight of jth network parameterAnd n is the total number of network parameters.

The parameter p is used for adjusting the attitude of the user for seeing the risk, when p is 1, the user selects to avoid the risk, when p is 2, the attitude of the user for treating the risk is neutral, and when p is infinity, the user is willing to bear the risk. The embodiment of the invention only considers the situation that the attitude of the user to the risk is neutral.

And 5: and determining the satisfaction degree of the first service to each candidate network according to the obtained judgment coefficient of each candidate network and a preset normalization formula.

Specifically, based on the obtained decision coefficient of each candidate network anddetermining satisfaction of the first service with each candidate network. Wherein M is_iFor the satisfaction of the first service with the ith candidate network,the method comprises the steps of obtaining a decision coefficient of an ith candidate network, obtaining m of the total number of the candidate networks, obtaining a maximum function by max { } and obtaining a minimum function by min { }.

The decision coefficient of each candidate network obtained by step 4 is already attributed to between [0, 1], but the decision coefficient of each candidate network obtained for the first service can be further normalized by step 5 to obtain a satisfaction value, so that the satisfaction of each candidate network obtained for different services will be in the same layer, and the satisfaction of each candidate network of different services can be compared with each other.

It is assumed that the decision coefficients of the service 1 and the service 2 obtained in step 4 for the candidate network 1, the candidate network 2, and the candidate network 3 are shown in table 4, and the satisfaction degrees of the service 1 and the service 2 obtained in step 5 for the candidate network 1, the candidate network 2, and the candidate network 3 are shown in table 5.

TABLE 4

TABLE 5

As can be seen from the comparison between table 4 and table 5, the satisfaction value of each service on each candidate network in table 5 can clearly be understood by the satisfaction value of each service on the candidate network.

The service access method provided by the invention is Based on the Satisfaction degree, and mainly aims to solve the problem of service flow distribution in a multi-user scene, so the method provided by the invention can be called a Flow Distribution Strategy (FDS) Based on the Satisfaction degree. The contents of the present application and the advantageous effects of the present application will be described in detail below with reference to specific simulation examples.

Suppose, the actual area in the simulation is simulated by a rectangular area as shown in fig. 3, wherein the rectangular area is covered by the UMTS network and the LTE network, and there are 3 WLAN aps in a specific position, that is, three circular areas are covered by the following three WLAN networks: WLAN _1, WLAN _2, WLAN _ 3. And moreover, a worldwide interoperability for microwave access (WiMax) network is covered in the oval area. That is, the candidate networks in the simulation include 6 of the UMTS network, the LTE network, the WiMax network, the WLAN _1 network, the WLAN _2 network, and the WLAN _3 network. In the dotted line position of FIG. 3, 7 test points from P1 to P7 were distributed. The terminal adopted by the simulation is a mobile terminal, a plurality of network interfaces are arranged on the terminal, the terminal can be respectively accessed to the networks, and one service can only be accessed to one network.

In the process of network selection, the simulation considers 5 network parameters: available bandwidth R, time delay D, energy consumption E, price C, and security S. The available bandwidth and the time delay are dynamically changed within a certain range, and the energy consumption, the price and the safety are kept unchanged. The parameter values for each candidate network are shown in table 6, wherein the two columns of available bandwidth and delay list the variation range of the parameters for each candidate network, and the three columns of energy consumption, price and security values are generally kept constant and stored in the terminal in advance. When a first service needs to access a network and a network parameter value of each candidate network needs to be acquired, only the values of available bandwidth and time delay are acquired.

TABLE 6

In the security column in table 6, the left side of the arrow line shows the level information, and the values on the left side of the arrow line are the corresponding quantified values into which these level information are converted according to table 3.

According to the definition of 3GPP, three types of services, namely voice service (VoIP), Video Streaming service (Video Streaming) and File Transfer service (File Transfer), are selected for simulation. The corresponding values of the quality of service Qos parameters for each service, which are pre-stored in the terminal, are shown in table 7. The weight levels set by the terminal user for each network parameter for different services are shown in tables 8 and 9, where the left side of the arrow is the weight level input by the user and the right side of the arrow is the quantified value converted by the terminal through table 2.

TABLE 7

Therein, the watch7, the maximum value R of the bandwidth requirement R corresponding to each service is listed_minAnd a minimum value R_maxMaximum value D of delay requirement D_maxAnd a minimum value D_min。a_RAnd b_RAccording to the maximum value and the minimum value of the bandwidth requirement R and a preset utility function formulaCalculated values of constants a and b, a_DAnd b_DAccording to the maximum value and the minimum value of the time delay requirement D and a preset utility function formulaThe calculated values of constants a and b.

TABLE 8

TABLE 9

According to the above data information, simulation is performed, when the mobile terminal starts from the position P1, and slowly passes through P2, P3, P4, P5 and P6 in sequence along the dotted line in fig. 3, and finally reaches P7, the network to which the three different types of services are selected and the network switching situation are respectively shown in fig. 4 and fig. 5. All candidate networks are assumed to have enough initial bandwidth, and since the bandwidth and the time delay dynamically change within a certain range, 10000 times of network parameter values are randomly taken for each position to perform simulation.

As can be seen from fig. 4, the voice service (VoIP service) has high requirements on delay and low requirements on bandwidth, so that even in a place with WLAN network coverage (for example, P2 to P6 locations), only the cellular network LTE is selected, and meanwhile, the communication quality degradation caused by frequent handover is avoided. In the two cellular networks UMTS and LTE with the minimum delay, LTE can guarantee Qos requirements of voice services and is relatively cheap, so that the terminal always selects to access the LTE network.

Meanwhile, in the simulation performed by adopting the service access method provided by the invention, a WLAN network tends to be selected for video streaming service and file transmission service. This is because the Qos requirements of these two types of services are less strict, the bandwidth requirement is larger, the delay requirement is smaller, and the WLAN network has the lowest communication cost and the largest bandwidth. Therefore, WLAN networks are an ideal choice for both types of traffic. In addition, when there is no WLAN network coverage (corresponding to positions P1 and P7), among the UMTS, LTE and WiMax networks, the LTE network can meet Qos requirements of the two services, and at the same time, the LTE network has the lowest communication cost, lower energy consumption and the highest network security, so the LTE network is selected to transmit the two services.

As can be seen from fig. 5, in the process that the mobile terminal gradually moves from P1 to P7, the network selection algorithm (FDS) used in the present invention is lower than the network handover times of the conventional algorithm, and the present invention can effectively reduce the network handover times, solve the problem of disorder, and reduce the problem of communication quality degradation caused by frequently switching networks.

Next, the network selection algorithm FDS of the present invention is compared with the network selection algorithms IANS and GDMT in the prior art with respect to the two index parameters, i.e., the service completion rate and the overall average service satisfaction.

The service completion rate is the ratio of the number of services which can be successfully accessed to the network, are not forced to be terminated and finally realize smooth operation to the total number of the type of services, and the calculation formula is as follows:

wherein, C_cIndicating the type c service completion rate, SN_cIndicates the total number of the c-th service, N_icIndicating the number of services that the type c service in the candidate network i is successfully accessed and is not forced to be terminated in the handover process, and is finally successfully completed.

The total average service satisfaction refers to the sum of the satisfaction of various services which are successfully accessed in each candidate network, are not forced to be stopped in the switching process and are finally and smoothly completed, and the ratio of the satisfaction of various services to the number of the completed services, and the calculation formula is as follows:

wherein S is the overall average service satisfaction, M_icSatisfaction value, N, for the ith candidate network for the c-th service_icIndicating the number of services that the type c service is successfully accessed in the candidate network i and is not forced to be terminated during the handover process, and is finally successfully completed.

The specific setup of the simulation process is as follows. For each algorithm, different numbers of terminals are enabled to apply the algorithm to perform network selection, representative P1, P2 and P3 positions in FIG. 3 are selected to perform simulation, and the change of the service completion rate and the overall average service satisfaction degree of each service at each position along with the increase of the number of the terminals is counted.

Wherein, each terminal has three services to be accessed to the network, namely voice service, video stream service and file transmission service. According to the bandwidth requirement range of the three services, selecting smaller bandwidths meeting the requirements for the three services, namely setting the bandwidths of the voice service, the video stream service and the file transmission service to be 32kbps, 128kbps and 64kbps respectively. It should be noted that the GDMT algorithm needs to manually input the integrated weights, and in order to make the simulation effective, the simulation process will use the same integrated weights as the FDS. Meanwhile, the IANS and GDMT algorithms also require manual setting of the priority of the service. In the simulation, the priority of all three services in the algorithms of the IANS and the GDMT are set to be 5, 3 and 2, namely the priority of the voice service is the highest.

The statistical results of the above simulation process are shown in fig. 6 to 11. It can be concluded from the figure that, no matter which algorithm is used, the service completion rates of three services in the three algorithms decrease as the number of terminals increases. Both the IANS and GDMT algorithms depend on the priority level of the service.

In fig. 6, 8 and 10, the completion rates of the three services in the GDMT algorithm are not different, and three dotted lines respectively representing voice, video and file transfer services are overlapped. This is because the GDMT algorithm aggregates the weights of the three services and selects a network for a group of calls (including multiple services). In the IANS algorithm, since the priority of the voice service is the highest, the service completion rate is also the highest. In contrast, video streaming services have the second highest priority and therefore the second highest completion rate. The file transmission service has the lowest priority and the lowest service completion rate. The FDS algorithm provided by the invention is based on the satisfaction degree of services in the network, and in the network with the highest satisfaction degree, as the VoIP service bandwidth is small, more services can be accessed, the service completion rate is highest. And for the video streaming service, the required bandwidth is the largest, so the service completion rate is the lowest. In the scheme, the video stream service and the file transmission service are almost the same in sequence for each network, when the number of terminals is increased to a certain degree, the file transmission service with smaller bandwidth requirement has a larger chance to access the network, and the chance of the video stream service with the largest bandwidth requirement to access the network is continuously reduced, so the completion rate of the class of operators gradually approaches zero. In addition, compared with the FDS algorithm and the IANS algorithm, under the condition that the network resource utilization rate is high, the difference between the completion rates of the three services in the FDS algorithm is smaller than that of the IANS algorithm, and the phenomenon that the completion rate of the service is zero is not easy to occur in the FDS algorithm.

In addition, when resource conflicts of different types of services are serious, the effects of the FDS algorithm and the IANS algorithm are more obvious. There are 3 networks at location 1, there is no WLAN network, and the network resource conflict is serious, so the completion rate of different types of services is obviously differentiated. There are two WLAN networks at location 3 and there is less resource conflict for different types of traffic to access different networks, in which case the differentiation of the completion rate of the traffic becomes less obvious.

Fig. 7, 9 and 11 depict the change of the overall average service satisfaction as the number of terminals increases when three algorithms of FDS, ias and GDMT are used at positions P1, P2 and P3, respectively. As can be seen from the figure, in the FDS and the IANS algorithms, as the number of terminals increases, the overall average service satisfaction rate decreases. The GDMT algorithm, the overall average service satisfaction, increases at the beginning, and after reaching a certain value, decreases with the increase of the number of terminals, but is always the lowest of the three algorithms. This means that the network selected using the GDMT algorithm is not optimal for each individual service. In the initial stage, the overall average service satisfaction of the FDS algorithm and the IANS algorithm is the same, but as the number of terminals increases, the advantages of the FDS algorithm are shown, and the overall average service satisfaction is the highest. This is because the FDS algorithm enables traffic to be distributed as much as possible to the network with the best performance for itself, optimizing the network configuration.

Fig. 12 is a schematic structural diagram of a service access apparatus based on a heterogeneous wireless network according to an embodiment of the present invention, which is applied to a terminal, and corresponds to the method embodiment shown in fig. 1, the apparatus includes an information obtaining module 1201, a satisfaction determining module 1202, a request sending module 1203, and a service access module 1204.

The information obtaining module 1201 is configured to, when it is detected that a first service of a network to be accessed exists, obtain a bandwidth requirement of the first service, and obtain each network parameter value of each candidate network;

the satisfaction determining module 1202 is configured to determine the satisfaction of the first service on each candidate network according to the weight level of each network parameter input by the user for the first service and each network parameter value of each candidate network;

the request sending module 1203 is configured to send an access request to a target candidate network corresponding to the maximum satisfaction degree;

the service access module 1204 is configured to access the first service to the target candidate network when receiving the access permission information returned by the target candidate network; when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate network, and triggering the request sending module 1203.

In this embodiment, the satisfaction determining module 1202 may further include an integrated weight determining module, a utility value weighting module, a decision coefficient obtaining module, and a satisfaction determining module (not shown in the figure).

The comprehensive weight determining module is used for determining the comprehensive weight of each network parameter according to the weight level of the network parameter input by the user aiming at the first service and the acquired network parameter value of each candidate network;

the utility value determining module is used for determining the utility value of each network parameter of each candidate network according to each network parameter value of each candidate network and a preset utility function formula of each network parameter aiming at each candidate network;

the utility value weighting module is used for obtaining a weighted utility value of each network parameter of the candidate network according to the determined comprehensive weight of each network parameter and the determined utility value of each network parameter of the candidate network aiming at each candidate network;

the decision coefficient obtaining module is used for obtaining a decision coefficient of each candidate network according to the obtained weighted utility value of each network parameter of each candidate network, the determined comprehensive weight of each network parameter and a preset decision formula;

and the satisfaction determining module is used for determining the satisfaction of the first service to each candidate network according to the obtained judgment coefficient of each candidate network and a preset normalization formula.

In this embodiment, the integrated weight determining module may further include a first weight determining sub-module, a second weight determining sub-module, and an integrated weight determining sub-module (not shown in the figure).

A first weight determination module for determining a weight level of the network parameter according to the user input for the first service anddetermining a first weight of the network parameter; wherein,is a first weight, F, of a jth network parameter_jThe weight grade of the jth network parameter input by the user aiming at the first service is shown, and n is the total quantity of the network parameters; (ii) a

A second weight determination module for determining the weight of each candidate network according to the obtained network parameter value anddetermining a second weight of the network parameter; wherein,a second weight for a jth network parameter,x_ija j network parameter value of the ith candidate network, m is the total number of the candidate networks, n is the total number of the network parameters, and lambda is a constant;

a comprehensive weight determination module for determining the first weight and the second weight of the network parameter according toDetermining a composite weight of the network parameter; wherein, w_jIs the integrated weight of the jth network parameter,is a first weight of a jth network parameter,a second weight for the jth network parameter, n being the number of network parameters, α₁And α₂Is a constant.

In this embodiment, the utility value determining module may be specifically configured to:

In this embodiment, the decision coefficient obtaining module is specifically configured to:

In this embodiment, the satisfaction determining module is specifically configured to:

Fig. 13 is a schematic structural diagram of a service access system based on a heterogeneous wireless network according to an embodiment of the present invention, where the system includes a terminal 1301 and an access point 1302 corresponding to a target candidate network.

The terminal 1301 is configured to, when detecting that a first service of a network to be accessed exists, obtain a bandwidth requirement of the first service, and obtain each network parameter value of each candidate network; determining the satisfaction degree of the first service to each candidate network according to the weight level of each network parameter input by a user for the first service and each network parameter value of each candidate network; sending an access request to a target candidate network corresponding to the maximum satisfaction degree; when receiving the information which is returned by the target candidate network and allows access, accessing the first service to the target candidate network; when receiving the information of refusing access returned by the target candidate network, deleting the target candidate network from the candidate network, and executing the step of sending an access request to the target candidate network corresponding to the maximum satisfaction degree;

the access point 1302 corresponding to the target candidate network is configured to receive an access request of the first service sent by the terminal, determine whether the first service is accessible, send access permission information to the terminal if the first service is accessible, and send access rejection information to the terminal if the first service is not accessible.

In this embodiment, the terminal 1301 may be further configured to send the satisfaction degree of the first service on the target candidate network to an access point corresponding to the target candidate network.

Assuming that the satisfaction degrees of service 1 and service 2 in the terminal to candidate network 1 and candidate network 2 are shown in table 5, the terminal is to send the corresponding satisfaction degree value to the access point corresponding to the current target candidate network.

The access point 1302 may be further configured to receive satisfaction of the first service sent by the terminal with the current self; judging whether the bandwidth requirement of the first service is smaller than the current available bandwidth;

if yes, sending access permission information to the terminal;

Because the access point stores the satisfaction value of each accessed service, the access point can judge whether a second service with the satisfaction degree smaller than the first service exists in the accessed services according to the stored satisfaction value.

In this embodiment, the access point 1302 may be further specifically configured to sort each second service according to the corresponding satisfaction degree thereof, sequentially determine, according to the sequence from the small satisfaction degree to the large satisfaction degree, whether the sum of the bandwidth requirement of each second service and the current available bandwidth of the second service is greater than the bandwidth requirement of the first service, and if so, select the second service as the target second service.

And if the sum of the bandwidth of the second service corresponding to the maximum satisfaction degree and the current available bandwidth is not more than the bandwidth requirement of the first service, sending access refusing information to the terminal.

Since the device embodiment is obtained based on the method embodiment and has the same technical effect as the method, the technical effect of the device embodiment is not described herein again.

For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points.

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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

It will be understood by those skilled in the art that all or part of the steps in the above embodiments can be implemented by hardware associated with program instructions, and the program can be stored in a computer readable storage medium. The storage medium referred to herein is a ROM/RAM, a magnetic disk, an optical disk, or the like.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A service access method based on a heterogeneous wireless network is applied to a terminal, and the method comprises the following steps:

D. when receiving access permission information returned by the target candidate network, accessing the first service to the target candidate network; when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate network, and executing the step C;

the determining the satisfaction degree of the first service to each candidate network according to the weight level of each network parameter input by the user for the first service and each network parameter value of each candidate network comprises:

determining the satisfaction degree of the first service to each candidate network according to the obtained judgment coefficient of each candidate network and a preset normalization formula;

the determining the comprehensive weight of the network parameter comprises:

according to the determined first weight and second weight of the network parameter anddetermining a composite weight of the network parameter; wherein, w_jIs the integrated weight of the jth network parameter,is a first weight of a jth network parameter,a second weight for the jth network parameter, n being the number of network parameters, α₁And α₂Is a constantCounting;

when a user sets a weight level for the overall network parameter and the local network parameter of each candidate network respectively, determining the first weight of each network parameter comprises:

respectively calculating the weights of the overall network parameters and the local network parameters according to a preset first weight formula;

and multiplying the weight of the whole network parameter by the weight of the corresponding local network parameter to obtain a first weight of each network parameter.

2. The method of claim 1, wherein determining a utility value for each network parameter of the candidate network comprises:

the formula includes:orOr u_ij＝-cx_ij+1 orOrWherein, u_ijthe utility value of the jth network parameter of the ith candidate network, e is the base of the natural logarithm, x_ijFor the jth network parameter value of the ith candidate network,n is the number of network parameters, and a, b and c are constants; when the network parameter includes available bandwidth, selecting for useCalculating utility values of the network parameters; when the network parameters include time delay and packet loss rate, the network parameters are selectedCalculating utility values of the network parameters; when the network parameter includes power consumption, u is selected_ij＝-cx_ij+1 calculating utility values of the network parameters; when the network parameter includes security, selecting for useCalculating utility values of the network parameters; when the network parameter includes a price, selectingAnd calculating the utility value of the network parameter.

3. The method of claim 1, wherein obtaining the decision coefficient for each candidate network comprises:

according to the obtained utility value after each network parameter of each candidate network is weighted, the determined comprehensive weight of each network parameter andobtaining a decision coefficient of each candidate network; wherein,is the decision coefficient for the ith candidate network, p＝2，v_ijweighted utility value, w, for jth network parameter of ith candidate network_jAnd n is the total number of the network parameters.

4. The method of claim 1, wherein the determining the satisfaction of the first service with each candidate network comprises:

based on the obtained decision coefficient of each candidate network anddetermining satisfaction of the first service to each candidate network; wherein M is_iFor the satisfaction of the first service with the ith candidate network, and m is the total number of the candidate networks.

5. A service access device based on heterogeneous wireless network is characterized in that the device is applied to a terminal and comprises:

the service access module is used for accessing the first service to the target candidate network when receiving the access permission information returned by the target candidate network; when receiving the access rejection information returned by the target candidate network, deleting the target candidate network from the candidate network, and triggering a request sending module;

the satisfaction determining module is specifically configured to:

according to the determined first weight and second weight of the network parameter anddetermining a composite weight of the network parameter; wherein, w_jIs the integrated weight of the jth network parameter,is a first weight of a jth network parameter,a second weight for the jth network parameter, n being the number of network parameters, α₁And α₂Is a constant;

the satisfaction determining module is specifically configured to:

when a user sets weight levels for the overall network parameters and the local network parameters of each candidate network respectively, calculating the weights of the overall network parameters and the local network parameters respectively according to a preset first weight formula;

6. A service access system based on a heterogeneous wireless network is characterized by comprising a terminal and an access point corresponding to a target candidate network;

the terminal is specifically configured to:

multiplying the weight of the whole network parameter by the weight of the corresponding local network parameter to obtain a first weight of each network parameter;

7. The system of claim 6, wherein the terminal is further configured to send the satisfaction degree of the first service with the target candidate network to an access point corresponding to the target candidate network;

if yes, sending access permission information to the terminal;

8. The system according to claim 7, wherein the access point is specifically configured to rank each second service according to the corresponding satisfaction thereof, sequentially determine, according to a sequence from a small satisfaction to a large satisfaction, whether a sum of a bandwidth requirement of each second service and a current available bandwidth of the second service is greater than a bandwidth requirement of the first service, and if so, select the second service as the target second service.