CN101656989A - Method and device for switching heterogeneous networks - Google Patents

Abstract

The invention discloses a method and a device for switching heterogeneous networks. The method comprises the following steps: determining first weights of parameters in a QoS parameter set, wherein the first weights are subjective weights required by a user; determining second weights of the parameters in the QoS parameter set according to the current QoS parameter value of networks to be evaluated; carrying out fusion of coincidence degree on the first weights and the second weights, and determining third weights of the parameters in the QoS parameter set; and determining a target network according to the third weights so as to switch the networks. According to the embodiment of the invention, when the heterogeneous networks are switched, the method and the device increase the possibility for finding the target network and improve the success ratio of switching so as to enable the terminal to enjoy better service quality of other networks and further improve the satisfaction of the user.

Description

The method and apparatus that heterogeneous network switches

Technical field

The present invention relates to the wireless mobile telecommunication technology field, the method and apparatus that particularly a kind of heterogeneous network switches.

Background technology

At present, dissimilar wireless access technology fast developments is because these access technologies have separately characteristics and suitable application scenario.Therefore, the network of being made up of different access technologies is called as heterogeneous network.All each is variant at aspects such as bandwidth, mobility support, effective coverage range, QoS (Quality ofService, service quality), charging rate, safety between the heterogeneous network.

The heterogeneous network switching is meant and the existing network boundary of terminal cross business is switched to another network by a network, after the network switching is finished, utilizes the network after switching to go to manage current business.For the better utilization network technology, improve user's QoS, the switching between the heterogeneous network is a key technology of future mobile communications development, mainly is divided into three parts: handover trigger, switch decision, switching are carried out.Wherein, handover trigger is exactly that terminal triggers and to carry out network selecting, thus switch decision treat evaluating network exactly and select to determine objective network, switch that to carry out be exactly the process of carrying out switching.

In the prior art, when carrying out the heterogeneous network switching, need to adopt a kind of based on AHP (AnalyticHierarchy Process, step analysis) method is estimated the qos parameter of current business, and then obtain the qos parameter weight of current business, i.e. relative significance level between the qos parameter, this weight has only embodied a kind of subjective demand of user to each qos parameter, carry out switch decision according to the qos parameter weight that embodies the subjective demand of user then, after determining objective network, carry out and switch.

But, the qos parameter weight of the determined current business of method that this heterogeneous network switches has only embodied a kind of subjective demand of user to each qos parameter, it is very possible because the present situation of each network to be evaluated can't satisfy the subjective demand of terminal, finally make the result of switch decision for not switching, strengthened the probability of handoff failure, thus cause terminal still in former network operation professional and can not enjoy other network better service quality.

Summary of the invention

The method and apparatus that the embodiment of the invention provides a kind of heterogeneous network to switch is to improve the heterogeneous network success rate for switching.

The embodiment of the invention discloses the method that a kind of heterogeneous network switches, comprise: first weight of determining the qos parameter lumped parameter, described first weight is the subjective weight of user's request, according to network current QoS parameter value to be evaluated, determines second weight of qos parameter lumped parameter; Described first weight and described second weight are carried out the registration fusion, determine the 3rd weight of described qos parameter lumped parameter; Determine objective network according to described the 3rd weight, carry out network and switch.

The embodiment of the invention also discloses a kind of heterogeneous network device for switching, comprising: the first weight determining unit, be used for determining first weight of qos parameter lumped parameter, described first weight is the subjective weight of user's request; The second weight determining unit is used for determining second weight of described qos parameter lumped parameter according to network current QoS parameter value to be evaluated; The 3rd weight determining unit is used for described first weight and described second weight are carried out the registration fusion, determines the 3rd weight of qos parameter lumped parameter; The objective network determining unit is used for determining objective network according to described the 3rd weight; Switch performance element, be used to carry out network and switch.

From the embodiment of the invention described above as can be seen, when the qos parameter weight of the current business of determining, except considering a kind of subjective demand of terminal to each qos parameter, subjective demand according to terminal obtains outside first weight of qos parameter, also considered the present situation of each network to be evaluated, that is, obtain second weight of qos parameter according to the current qos parameter state of value of network.After taking all factors into consideration first weight and second weight, determine final fusion weight, i.e. the 3rd weight, utilize the 3rd weight to carry out switch decision, increased the possibility that finds objective network, improve handover success rate, thereby made terminal enjoy other network better service quality, further improved user's satisfaction.

Description of drawings

Fig. 1 is the first embodiment flow chart of the method for a kind of heterogeneous network switching of the present invention;

Fig. 2 is the second embodiment flow chart of the method for a kind of heterogeneous network switching of the present invention;

Fig. 3 is a heterogeneous network scene schematic diagram;

Fig. 4 is the flow chart of AHP method among the present invention;

Fig. 5 is the flow chart of GRA method among the present invention;

Fig. 6 is the flow chart of UMADM method among the present invention;

Fig. 7 is the 3rd embodiment flow chart of the method for a kind of heterogeneous network switching of the present invention;

Fig. 8 is the first example structure figure of a kind of heterogeneous network device for switching of the present invention.

Embodiment

Below in conjunction with accompanying drawing the embodiment of the invention is described in detail.

See also Fig. 1, it is the first embodiment flow chart of the method for a kind of heterogeneous network switching of the present invention, may further comprise the steps:

Step 101: determine first weight of qos parameter lumped parameter, described first weight is the subjective weight of user's request, according to network current QoS parameter value to be evaluated, determines second weight of described qos parameter lumped parameter;

Step 102: described first weight and described second weight are carried out the registration fusion, determine the 3rd weight of described qos parameter lumped parameter;

Step 103: determine objective network according to described the 3rd weight, carry out network and switch.

By the embodiment of the invention described above as can be seen, when the qos parameter weight of the current business of determining, except considering a kind of subjective demand of terminal to each qos parameter, subjective judgement according to terminal obtains outside first weight of qos parameter, also considered the present situation of each network to be evaluated, obtain second weight of qos parameter according to the current qos parameter state of value of network, after taking all factors into consideration first weight and second weight, determine final fusion weight, i.e. the 3rd weight, utilize the 3rd weight to carry out switch decision, increased the possibility that finds objective network, improve handover success rate, thereby made terminal enjoy other network better service quality, further improved user's satisfaction.

See also Fig. 2, it is the second embodiment flow chart of the method for a kind of heterogeneous network switching of the present invention.In the present embodiment, suppose that network coverage area has the two kinds of networks that can support a certain class business, for example, UMTS (Universal Mobile Telecommunication System, conventional wireless communication systems) and Wimax (Worldwide Interoperabilitv for Microwave Access, micro-wave access global inter communication) system, when terminal professional and when periodically detecting QoS of survice in Wimax Run Sessions class, the QoS that finds current network does not reach satisfied and then the trigger network switching, and the process of its switching may further comprise the steps:

Step 201: terminal sends handoff request to the NM of former network (Network Manager, network manager);

Wherein, UMTS links to each other with IP backbone respectively with Wimax, has a HMS (Handover Management Service, handover management server) in the IP backbone at least, is used to carry out across a network switch decision and handover decisions.HMS connects a RADA (Radio Assess Database, wireless access database), is used to write down UMTS and the current QoS information of Wimax.

A NM is all arranged among UMTS and the Wimax, be used to collect present networks current QoS information and upgrade RADA and management present networks handover event.Operating in the UMTS network that NM is performed can be finished by RNC (Radio Network Controller, radio network controller), can be finished by BS (Base Station, base station) in the WiMax network, and its scene graph as shown in Figure 3.

In the present embodiment, former network is Wimax, and therefore, terminal sends handoff request to BS.

Step 202: the NM of former network sends service quality report to HMS;

Wherein, carry the qos parameter set of the session service of the current operation of terminal in the service quality report.

Step 203:HMS utilizes the AHP method to determine first weight of each parameter in the qos parameter set of session service;

The AHP method is the evaluation method of overall merit field extensive use, use qualitative analysis the numerous key elements in the evaluation objective to be analyzed one by one, compare, calculated with the quantitative method that combines of calculating, finally obtain the comprehensive weight value of each key element in evaluation objective, the specific implementation of above-mentioned AHP method sees also Fig. 4, may further comprise the steps:

Step 401: set up system hierarchy;

By heightened awareness, propose assessment indicator system, and, form and pass stratum's aggregated(particle) structure the index system stratification to research object.Wherein, the hierarchical structure of system has three: destination layer, rule layer and solution layer.Objective network is set at destination layer, and in the present embodiment, objective network is the optimum QoS network that meets session service.The qos parameter set of former network is set at rule layer, and in the present embodiment, the qos parameter set of former network is the qos parameter set of Wimax conversation class.

Step 402: structure judgment matrix B;

Wherein, " 1-9 scale " mode of employing is carried out scale to each parameter, has listed the Scale Method of " 1-9 scale " at table 1.According to the Scale Method in the table 1, the importance degree between any two parameters is carried out scale, as element, set up judgment matrix B with these scale values of representing importance degrees.For example, the element b among the judgment matrix B _IjExpression parameter i is to the importance degree of parameter j.As shown in table 2, it is each element value of a judgment matrix.

The Scale Method of table 1 parameter

Scale	Implication
		??1	Represent that two factors compare, have equal importance
??3	Represent that two factors compare, the former is more important slightly than the latter
		??5	Represent that two factors compare, the former is obvious more important than the latter
??7	Represent that two factors compare, the former is strong more important than the latter
		??9	Represent that two factors compare, the former is extremely more important than the latter
??2，4，6，8	The median of representing above-mentioned adjacent judgement
		Reciprocal	If element I is a with the ratio of the importance of element j ij, then element j is a with the ratio of the importance of element I ji＝1/a ij

Table 2 judgment matrix example

	Bandwidth	Time delay	Shake	Safety	Expense
						Bandwidth	??1	??4	??0.5	??1	??2
Time delay	??0.25	??1	??0.125	??0.25	??0.5
						Shake	??2	??8	??1	??2	??4
Safety	??1	??4	??0.5	??1	??2
						Expense	??0.5	??2	??0.25	??0.5	??1

Step 403: the consistency of check judgment matrix B;

Consistency check process to judgment matrix B in this step comprises:

(1) the coincident indicator CI of calculating judgment matrix B;

Wherein, $\mathrm{CI}=\frac{{\mathrm{\λ}}_{\max }-n}{n-1}.$ Here, λ _MaxBe the eigenvalue of maximum of judgment matrix B, n is the exponent number of judgment matrix B.

(2) the mean random coincident indicator RI of acquisition judgment matrix B;

Wherein, for n=1 ..., 9 judgment matrix, as shown in table 3, it is the corresponding relation of judgment matrix exponent number n and RI.According to the corresponding relation described in the table 3, can obtain the mean random coincident indicator RI of interpretation matrix B.

The corresponding relation of table 3 judgment matrix exponent number n and mean random coincident indicator RI

??n	1???2???3??????4??????5??????6??????7??????8??????9
		??RI	0???0???0.58???0.90???1.12???1.24???1.32???1.41???1.45

(3) calculate consistency ratio CR;

$\mathrm{CR}=\frac{\mathrm{CI}}{\mathrm{RI}}$

(4) according to consistency ratio CR, carry out consistency check;

When CR＜0.10, think that judgment matrix B has consistency, otherwise, think that judgment matrix B does not have consistency, return step 402, re-construct judgment matrix.

Step 404:, obtain the first weight vectors W of qos parameter set according to consistent judgment matrix ₁

Wherein, after consistency check is passed through, calculate the characteristic value of judgment matrix, and obtain and the corresponding characteristic vector of eigenvalue of maximum, after this characteristic vector normalized, obtain the first weight vectors W of qos parameter according to eigenvalue of maximum ₁, the first weight vectors W ₁In element be first weight of each parameter in the qos parameter set of session service.

In the qos parameter set of having determined conversation class, after first weight of relevant parameter, turn back in the flow process of heterogeneous network switching, and execution in step 204.

Step 204:HMS sends network QoS query requests to be evaluated to RADA, the qos parameter value of acquisition request network to be evaluated;

Wherein, network to be evaluated comprises former network and all candidate network.In the present embodiment, network to be evaluated is Wimax and UMTS.

HMS is connected with RADA, and RADA is used to write down UMTS and the current QoS information of Wimax.

In the above-mentioned steps 204, when not having RADA in the network, HMS can directly obtain the qos parameter value of the conversation class of UMTS and Wimax from NM.

Step 205:RADA returns network QoS inquiry response to be evaluated to HMS;

Wherein, carry the qos parameter value of network to be evaluated in the above-mentioned network QoS inquiry response to be evaluated.

Step 206:, obtain the second weight vectors W of qos parameter set according to the qos parameter value of network to be evaluated ₂

Wherein, utilize coefficient of variation method to obtain the second weight vectors W ₂Method may further comprise the steps:

The first step:, make up raw data matrix X according to the qos parameter value of network to be evaluated.

$X=\left[\begin{array}{cccc}{x}_{11}& x_{12}& ...& x_{1m}\\ x_{n1}& {\mathrm{<figure-callout\; id="2"\; label="x\; n"\; filenames="A2008102101330023H1.png"\; state="\{\{state\}\}">x</figure-callout>}}_n& ...& x_{\mathrm{nm}}\end{array}\right]$

Wherein, m represents the number of qos parameter lumped parameter, and n represents the number of network to be evaluated, x _NmM parameter values representing n network.In the present embodiment, network to be evaluated comprises all candidate network and former network, so n=2.

Second step: the standard deviation S that calculates each qos parameter _j

Wherein, the standard deviation of qos parameter reflects the absolute degree of variation of each qos parameter, and computing formula is as follows:

$S_j=\sqrt{\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{(x_{\mathrm{ij}}-\stackrel{\&OverBar;}{x_j})}^2}{n}}$

$\stackrel{\&OverBar;}{x_j}=\frac{x_{1j}+x_{2j}+...+x_{\mathrm{nj}}}{n},j=\mathrm{1,2},...m$

In the formula, S _jThe standard deviation of representing j qos parameter.

The 3rd step: the coefficient of variation of calculating each qos parameter;

Wherein, the coefficient of variation of qos parameter reflects the relative variability degree of each qos parameter, and computing formula is as follows:

$v_j=\frac{S_j}{\stackrel{\&OverBar;}{x_j}},j=\mathrm{1,2},...m$

The 4th step: the coefficient of variation to each qos parameter is carried out normalized, obtains the second weight vectors W of qos parameter set ₂

Wherein, the second weight vectors W ₂In element be second weight of each parameter in the qos parameter set.

Determining in the qos parameter set after second weight of relevant parameter, turning back in the flow process that heterogeneous network switches, and execution in step 207.

Step 207: according to the first weight vectors W ₁With the second weight vectors W ₂Obtain the 3rd weight vectors W ₃

Wherein, at first according to the registration function calculation first weight vectors W ₁With the second weight vectors W ₂Between degree of correlation α and β, utilize degree of correlation α and β to obtain the first weight vectors W then ₁With the second weight vectors W ₂The fusion weight vectors, i.e. the 3rd weight vectors W ₃

According to the definition of registration function, m parameter arranged, the first weight vectors W of this qos parameter set in the qos parameter set of conversation class ₁Be (x ₁, x ₂... x _m), the second weight vectors W ₂Be (y ₁, y ₂... y _m).Wherein, x ₁+ x ₂+ ... + x _m=1, y ₁+ y ₂+ ... + y _m=1.With vectorial W ₁And W ₂Be mapped to two some X, Y in 4 dimension spaces, characterize vectorial W with the Euclidean distance of this point-to-point transmission ₁And W ₂Degree of correlation.

The Euclidean distance of point-to-point transmission is:

$d=\sqrt{{(y_1-x_1)}^2+{(y_2-x_2)}^2+...+{(y_m-x_m)}^2}$

$\mathrm{\&alpha;}=\frac{d}{d_{\max }},$ $d_{\max }=\sqrt{2}$

β＝1-α

W ₃＝αW ₁+βW ₂

Step 208:HMS is according to the 3rd weight vectors W of qos parameter set ₃Carry out network selecting, determine objective network;

Wherein, the 3rd weight vectors according to qos parameter set, can adopt GRA (Grey RelationAnalysis, the gray scale association analysis) method is determined the network selecting condition, also can adopt UMADM (Uncertain Multiple Attribute Decision Making, uncertain multiple attribute decision making (MADM)) method is determined the network selecting condition, determines the final objective network according to the network selecting condition.

When adopting the GRA method to determine the network selecting condition, can obtain UMTS and Wimax conversation class the QoS performance index respectively and the correlation degree between the desirable conversation class QoS performance index, with the condition of correlation degree as network selecting, and the big network of the correlation degree between the desirable conversation class QoS performance index will be confirmed as the final objective network.

Before heterogeneous network switches, preestablish desirable qos parameter value, and constitute reference sequences Y and be kept among the HMS, the qos parameter value constituent ratio of the conversation class of UMTS and Wimax is than sequence X _n' (n=1,2) are kept among the HMS.See also Fig. 5, GRA determines that the method for switching cost function may further comprise the steps:

Step 501: with comparative sequences X _n' carry out normalized, obtain sequence X _n

Step 502: sequence of calculation X _nIncidence coefficient with reference sequences Y;

The incidence coefficient computing formula is: ${\mathrm{\&Gamma;}}_{0,i}=\frac{{\mathrm{\&Delta;}}_{\min }+{\mathrm{\&Delta;}}_{\max }}{{\mathrm{\&Delta;}}_i^{\&prime;}+{\mathrm{\&Delta;}}_{\max }},i=\mathrm{1,2},$

Wherein, ${\mathrm{\&Delta;}}_n^{\&prime;}=\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{w}_j|y\left(j\right)-x_n\left(j\right)|,n=\mathrm{1,2},$ w _jBe the 3rd weight vectors W ₃Element,

${\mathrm{\&Delta;}}_{\min }=\underset{(n,j)}{\min }\left(|y\left(j\right)-x_n\left(j\right)|\right),$ ${\mathrm{\&Delta;}}_{\max }=\underset{(n,j)}{\max }\left(|y\left(j\right)-x_n\left(j\right)|\right),n=\mathrm{1,2}.$

Above-mentioned Γ _0,1Incidence coefficient between the QoS performance index of the conversation class QoS performance index of expression UMTS and desirable conversation class, Γ _0,2Incidence coefficient between the QoS performance index of the conversation class of expression Wimax and the desirable conversation class QoS performance index, the network that incidence coefficient is big will be confirmed as the final objective network.

When adopting the UMADM method to determine the network selecting condition, can obtain UMTS and Wimax conversation class the QoS performance index respectively and the degree of closeness between the desirable conversation class QoS performance index, as the network selecting condition, and the big network of the degree of closeness between the desirable conversation class QoS performance index will be confirmed as the final objective network with degree of closeness.

See also Fig. 6, UMADM determines that the method for switching cost function may further comprise the steps:

Step 601: with reference sequences Y and comparative sequences X _n' make up, obtain combinatorial matrix Q;

Wherein, $q_{\mathrm{ij}}=\left(\frac{Y}{X_n^{\&prime;}}\right),i=\mathrm{1,2,3},j=\mathrm{1,2},...m$

M represents the number of qos parameter lumped parameter.

Step 602: matrix Q is carried out nondimensionalization handle, obtain nondimensionalization matrix R;

Wherein, the formula of nondimensionalization is as follows, and one group of formula of top is applicable to the benefit shape parameter, and one group of following formula is applicable to the cost shape parameter.The benefit shape parameter is the parameter that is the bigger the better, for example bandwidth; The cost shape parameter is the smaller the better parameter, for example time delay, shake etc.

${r_{\mathrm{ij}}}^L=\frac{q_{\mathrm{ij}}^L}{\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}{q}_{\mathrm{ij}}^U},$ ${r_{\mathrm{ij}}}^U=\frac{q_{\mathrm{ij}}^U}{\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}{q}_{\mathrm{ij}}^L},$

${r_{\mathrm{ij}}}^L=\frac{(1/q_{\mathrm{ij}}^U)}{\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}(1/q_{\mathrm{ij}}^L)},$ ${r_{\mathrm{ij}}}^U=\frac{(1/q_{\mathrm{ij}}^L)}{\underset{i=1}{\overset{3}{\mathrm{\&Sigma;}}}(1/q_{\mathrm{ij}}^U)},j=\mathrm{1,2},...m$

Step 603: calculate integrated value

Wherein, ${\tilde{z}}_i=\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{w}_j{\tilde{r}}_{\mathrm{ij}},i=\mathrm{1,2,3},$ w _jBe the 3rd weight vectors W ₃Element

Step 604: calculate integrated value

May spend matrix P;

Wherein, $p_{\mathrm{ij}}=p({\tilde{z}}_i\&GreaterEqual;{\tilde{z}}_j)=\frac{\min \{l_{{\tilde{z}}_i}+l_{{\tilde{z}}_j},\max (z_i^U-z_j^L,0)\}}{l_{{\tilde{z}}_i}+l_{{\tilde{z}}_j}},$ $l_{{\tilde{z}}_i}=z_i^U-z_i^L,$ $l_{{\tilde{z}}_j}=z_j^U-z_j^L$

Step 605:, obtain ordering vector V to spending matrix P by the row summation;

Wherein, $v_i=\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{p}_{\mathrm{ij}},i=\mathrm{1,2,3}$

v ₁Represent desirable QoS performance index, v ₂The QoS performance index of expression UMTS, v ₃The QoS performance index of expression Wimax.With v ₁Immediate network will be confirmed as the final objective network.

Determining to turn back to behind the objective network in the flow process of heterogeneous network switching execution in step 209.

Step 209:HMS sends handoff request message to the NM of objective network, and request is carried out network and switched;

Step 210: the NM of objective network sends switching request response to HMS, allows HMS to carry out network and switches:

Step 211:HMS sends switch indicating information to terminal, and indicating terminal switches to objective network;

Step 212: terminal is set up Radio Link according to switch indicating information with objective network;

Step 213: after the foundation of the Radio Link between terminal and the objective network was finished, the NM of objective network sent handoff completion message to HMS;

Step 214:HMS sends Radio Link to the NM of former network and discharges request, and request discharges the Radio Link between terminal and the former network;

Step 215: the NM of former network sends Radio Link to HMS and discharges response, discharges the Radio Link between terminal and the former network.

As can be seen from the above-described embodiment, when the qos parameter weight of the current business of determining, except considering a kind of subjective demand of terminal to each qos parameter, subjective judgement according to terminal obtains outside first weight of qos parameter, also considered the present situation of each network to be evaluated, obtain second weight of qos parameter according to the current qos parameter state of value of network, after taking all factors into consideration first weight and second weight, determine final fusion weight, i.e. the 3rd weight, when second weight of being determined by network the present situation to be evaluated has certain correlation degree in first weight of determining with user's subjective desire, finely tune first weight with second weight and can better embody this advantage of possibility that objective network is found in increase.Therefore, utilize the 3rd weight to carry out switch decision, increased the possibility that finds objective network, improved handover success rate, thereby make terminal enjoy other network better service quality, further improve user's satisfaction.

See also Fig. 7, it is for the 3rd embodiment flow chart of a kind of heterogeneous network switch method of the present invention.The difference of present embodiment and previous embodiment is according to the 3rd weight vectors W ₃Obtain after the QoS performance index of network to be evaluated with UMADM, directly do not determine objective network, but consider the load parameter of network to be evaluated, the QoS performance index of comprehensive network to be evaluated and load parameter are determined objective network, finally carry out switching.

In the present embodiment, suppose that network coverage area has the two kinds of networks that can support a certain class business, for example, UMTS and Wimax, when terminal professional and when periodically detecting QoS of survice in Wimax Run Sessions class, the QoS that finds current network does not reach satisfied and then the trigger network switching, and the process of its switching may further comprise the steps:

Step 701: terminal sends handoff request to the NM of former network;

Step 702: the NM of former network sends service quality report to HMS;

Step 703:HMS utilizes AHP (Analytic Hierarchy Process, step analysis) method to determine first weight of each parameter in the qos parameter set of session service;

Step 704:HMS sends network QoS query requests to be evaluated to RADA, the qos parameter value of acquisition request network to be evaluated;

Step 705:RADA returns network QoS inquiry response to be evaluated to HMS;

Step 706:, obtain the second weight vectors W of qos parameter set according to the qos parameter value of network to be evaluated ₂

Step 707: according to the first weight vectors W ₁With the second weight vectors W ₂Obtain the 3rd weight vectors W ₃

Step 708:HMS is according to the 3rd weight vectors W of qos parameter set ₃With the UMADM method, obtain the QoS performance index of network to be evaluated;

The UMADM method is described in detail therefore, so repeat no more here.Wherein, when adopting the UMADM method to determine to switch cost function, finally obtain ordering vector V, wherein $v_i=\underset{j=1}{\overset{m}{\mathrm{\&Sigma;}}}{p}_{\mathrm{ij}},i=\mathrm{1,2,3},$ v ₁Represent desirable QoS performance index, v ₂The QoS performance index of expression UMTS, v ₃The QoS performance index of expression Wimax.v ₂And v ₃Be the QoS performance index of network to be evaluated.

Step 709:HMS sends offered load query requests, acquisition request network of network load parameter to be evaluated to RADA;

Step 710:RADA sends the offered load inquiry response to HMS;

Wherein, carry the offered load parameter value in the above-mentioned offered load inquiry response.

Step 711:, calculate the actuating force value F of network to be evaluated according to the QoS performance index and the offered load parameter of network to be evaluated;

Wherein, $\left\{\begin{array}{c}{F}_{\mathrm{WiMax}}=a{v}_3-b{L}_{\mathrm{WiMax}}\\ F_{\mathrm{UMTS}}=a{v}_2-b{L}_{\mathrm{UMTS}}\end{array}\right.$

A and b are respectively the weight of v and F value, and a+b=1, a＞0, b＞0.F _WiMaxBe the actuating force value of Wimax, F _UMTSActuating force value for UMTS.

Step 712: the actuating force value F according to network to be evaluated carries out network selecting, determines objective network;

Wherein, work as F _WiMax＞F _UMTSThe time, select WiMax as objective network, otherwise, select UMTS as objective network.

Step 713:HMS sends handoff request message to the NM of objective network, and request is carried out network and switched;

Step 714: the NM of objective network sends switching request response to HMS, allows HMS to carry out network and switches;

Step 715:HMS sends switch indicating information to terminal, and indicating terminal switches to objective network;

Step 716: terminal is set up Radio Link according to switch indicating information with objective network;

Step 717: after the foundation of the Radio Link between terminal and the objective network was finished, the NM of objective network sent handoff completion message to HMS;

Step 718:HMS sends Radio Link to the NM of former network and discharges request, and request discharges the Radio Link between terminal and the former network;

Step 719: the NM of former network sends Radio Link to HMS and discharges response, discharges the Radio Link between terminal and the former network.

As can be seen from the above-described embodiment, present embodiment not only utilizes the 3rd weight to carry out switch decision, increased the possibility that finds objective network, improved success rate for switching, but also considered the load parameter of network to be evaluated, prevented to have improved the handover success rate of objective network side because the current load of objective network greatly finally causes the problem of handoff failure, thereby make terminal enjoy other network better service quality, further improve user's satisfaction.

Above embodiment is the Wimax network with the current network, candidate network is the UMTS network, in the method for Run Sessions class business for the network selecting of the present invention of example explanation, but the invention is not restricted to this two networks and session service, such as current network is the UMTS network, and when candidate network was a plurality of, type of service was stream class service or other type service, method and the foregoing description that its network switches are similar, repeat no more herein.

See also Fig. 8, be first embodiment of a kind of heterogeneous network device for switching of the present invention

Structure chart, this device comprise the first weight determining unit 801, the second weight determining unit 802, the 3rd weight determining unit 803, objective network determining unit 804 and switch performance element 805.Operation principle below in conjunction with this device is further introduced its internal structure and annexation.

The first weight determining unit 801 is used for determining first weight of qos parameter lumped parameter, and described first weight is the subjective weight of user's request;

The second weight determining unit 802 is used for determining second weight of relevant parameter in the described qos parameter set according to network current QoS parameter value to be evaluated;

The 3rd weight determining unit 803, first weight and the second weight determining unit, 802 second weights that are used for the first weight determining unit 801 is determined are carried out the registration fusion, determine the 3rd weight of qos parameter lumped parameter;

Objective network determining unit 804 is used for determining objective network according to the 3rd weight that the 3rd weight determining unit 803 is determined;

Switch performance element 805, be used to carry out network and switch.

Wherein, the second weight determining unit 802 comprises: parameter value acquiring unit 806, standard deviation determining unit 807, coefficient of variation determining unit 808 and normalization unit 809.

Parameter value acquiring unit 806 is used to obtain network current QoS parameter value to be evaluated;

Standard deviation determining unit 807, the network current QoS parameter value to be evaluated that is used for parameter value acquiring unit 806 is obtained is according to formula $S_j=\sqrt{\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{(x_{\mathrm{ij}}-\stackrel{\&OverBar;}{x_j})}^2}{n}}$ With $\stackrel{\&OverBar;}{x_j}=\frac{x_{1j}+x_{2j}+...+x_{\mathrm{nj}}}{n},j=\mathrm{1,2},...m$ Calculate, obtain the standard deviation of qos parameter lumped parameter, the m in the described formula represents the number of qos parameter lumped parameter, and n represents the number of network to be evaluated, x _IjJ parameter representing i network to be evaluated, S _jThe standard deviation of j parameter in the expression oS parameter set;

Coefficient of variation determining unit 807, the standard deviation that is used for qos parameter lumped parameter that standard deviation determining unit 806 is determined is according to formula $v_j=\frac{S_j}{\stackrel{\&OverBar;}{x_j}},j=\mathrm{1,2},...m$ Calculate, obtain the coefficient of variation of qos parameter lumped parameter, the v in the described formula _jThe coefficient of variation of j parameter in the expression qos parameter set;

Normalization unit 808, the coefficient of variation that is used for qos parameter lumped parameter that coefficient of variation determining unit 807 is determined is carried out normalized, obtains second weight of described qos parameter lumped parameter.

The 3rd weight determining unit 803 comprises degree of correlation determining unit 809 and integrated unit 810.

Degree of correlation determining unit 809 is used for first weight and second weight according to formula $\mathrm{\&alpha;}=\frac{d}{d_{\max }},$ $d_{\max }=\sqrt{2},$ β=1-α and $d=\sqrt{{(y_1-x_1)}^2+{(y_2-x_2)}^2+...+{(y_m-x_m)}^2},j=\mathrm{1,2},...m$ Calculate, obtain the degree of correlation between described first weight and described second weight, the m in the described formula represents the number of described first weight and second weight, x _jRepresent described first weight, y _jRepresent described second weight, α and β represent the degree of correlation between described first weight and described second weight;

Integrated unit 810 is used for the degree of correlation determined according to degree of correlation determining unit 809, with first weight and second weight according to formula w _j=α x _j+ β y _jCarry out registration and merge, obtain the 3rd weight of described qos parameter lumped parameter, the w in the described formula _jThe 3rd weight of j parameter in the expression qos parameter set.

As can be seen from the above-described embodiment, when the qos parameter weight of the current business of determining, except considering a kind of subjective demand of terminal to each qos parameter, determine outside first weight of qos parameter according to the subjective judgement of terminal by the first weight determining unit 801, also considered the present situation of each network to be evaluated, determine second weight of qos parameter according to the current qos parameter state of value of network by the second weight determining unit 802, after taking all factors into consideration first weight and second weight, the 3rd weight determining unit 803 is determined final fusion weight, i.e. the 3rd weight, utilize the 3rd weight to carry out switch decision, increased the possibility that finds objective network, improve handover success rate, thereby made terminal enjoy other network better service quality, further improved user's satisfaction.

One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method is to instruct relevant hardware to finish by program, described program can be stored in the computer read/write memory medium, this program comprises the steps: to determine first weight of qos parameter lumped parameter, described first weight is the subjective weight of user's request, according to network current QoS parameter value to be evaluated, determine second weight of described qos parameter lumped parameter; Described first weight and described second weight are merged, determine the 3rd weight of described qos parameter lumped parameter; Carry out network selecting according to described the 3rd weight, determine objective network, carry out network and switch.Described storage medium, as: ROM/RAM, magnetic disc, CD etc.

The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (10)

1, a kind of method of heterogeneous network switching is characterized in that, comprising:

Determine first weight of parameter in the service quality QoS parameter set, described first weight is the subjective weight of user's request, according to network current QoS parameter value to be evaluated, determines second weight of described qos parameter lumped parameter;

Described first weight and described second weight are carried out the registration fusion, determine the 3rd weight of described qos parameter lumped parameter;

Determine objective network according to described the 3rd weight, carry out network and switch.

2, method according to claim 1 is characterized in that, and is described according to network current QoS parameter value to be evaluated, determines that described second weight comprises:

Obtain network current QoS parameter value to be evaluated;

To described network current QoS parameter value to be evaluated according to formula $S_j=\sqrt{\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{(x_{\mathrm{ij}}-\stackrel{\&OverBar;}{x_j})}^2}{n}}$ With $\stackrel{\&OverBar;}{x_j}=\frac{x_{1j}+x_{2j}+...+x_{\mathrm{nj}}}{n},j=\mathrm{1,2},...m$ Calculate, obtain the standard deviation of qos parameter lumped parameter, the m in the described formula represents the number of qos parameter lumped parameter, and n represents the number of network to be evaluated, x _IjJ parameter representing i network to be evaluated, S _jThe standard deviation of j parameter in the expression qos parameter set;

To the standard deviation of described qos parameter lumped parameter according to formula $v_j=\frac{S_j}{\stackrel{\&OverBar;}{x_j}},j=\mathrm{1,2},...m$ Calculate, obtain the coefficient of variation of qos parameter lumped parameter, the v in the described formula _jThe coefficient of variation of j parameter in the expression qos parameter set;

The coefficient of variation of described qos parameter lumped parameter is carried out normalized, obtain second weight of described qos parameter lumped parameter.

3, method according to claim 2 is characterized in that, describedly obtains network current QoS parameter value to be evaluated and comprises:

Obtain described network current QoS parameter value to be evaluated from network of network manager NM to be evaluated;

Perhaps,

Obtain described network current QoS parameter value to be evaluated from wireless access database RADA.

4, method according to claim 1 is characterized in that, describedly first weight and described second weight are carried out registration merges, and determines that described the 3rd weight comprises:

To described first weight and described second weight according to formula $\mathrm{\&alpha;}=\frac{d}{d_{\max }},$ $d_{\max }=\sqrt{2},$ β=1-α and $d=\sqrt{{(y_1-x_1)}^2+{(y_2-x_2)}^2+...+{(y_j-x_j)}^2},j=\mathrm{1,2},...m$ Calculate, obtain the degree of correlation between described first weight and described second weight, the m in the described formula represents the number of described first weight and second weight, x _jRepresent described first weight, y _jRepresent described second weight, α and β represent the degree of correlation between described first weight and described second weight;

According to described degree of correlation with described first weight and described second weight according to formula w _j=α x _j+ β y _jCarry out registration and merge, obtain the 3rd weight of described qos parameter lumped parameter, the w in the described formula _jThe 3rd weight of j parameter in the expression qos parameter set.

5, method according to claim 1 is characterized in that, describedly determines that according to the 3rd weight objective network comprises:

The QoS performance index of determining network to be evaluated according to described the 3rd weight by gray scale association analysis GRA method respectively and the correlation degree between the predefined desirable QoS performance index, the network to be evaluated of selecting the correlation degree maximum between the described and predefined desirable QoS performance index is as objective network.

6, method according to claim 1 is characterized in that, describedly determines that according to the 3rd weight objective network comprises:

Determine the QoS performance index of network to be evaluated by uncertain multiple attribute decision making (MADM) UMADM method according to described the 3rd weight, the network to be evaluated of selecting the QoS performance index of described network to be evaluated and the degree of closeness maximum between the predefined desirable QoS performance index is as objective network.

7, method according to claim 1 is characterized in that, describedly determines that according to the 3rd weight objective network comprises:

Determine the QoS performance index of network to be evaluated by uncertain multiple attribute decision making (MADM) UMADM method according to described the 3rd weight, and obtain network of network load parameter to be evaluated;

According to the QoS performance index and the described network of network load parameter to be evaluated of described network to be evaluated, obtain the actuating force value F of network to be evaluated;

The network to be evaluated of actuating force value F maximum of selecting described network to be evaluated is as objective network.

8, a kind of heterogeneous network device for switching is characterized in that, comprising:

The first weight determining unit is used for determining first weight of qos parameter lumped parameter, and described first weight is the subjective weight of user's request;

The second weight determining unit is used for determining second weight of described qos parameter lumped parameter according to network current QoS parameter value to be evaluated;

The 3rd weight determining unit is used for described first weight and described second weight are carried out the registration fusion, determines the 3rd weight of described qos parameter lumped parameter;

The objective network determining unit is used for determining objective network according to described the 3rd weight;

Switch performance element, be used to carry out network and switch.

9, device according to claim 8 is characterized in that, the described second weight determining unit comprises:

The parameter value acquiring unit is used to obtain network current QoS parameter value to be evaluated;

The standard deviation determining unit, the network current QoS parameter value to be evaluated that is used for described parameter value acquiring unit is obtained is according to formula $S_j=\sqrt{\frac{\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{(x_{\mathrm{ij}}-\stackrel{\&OverBar;}{x_j})}^2}{n}}$ With $\stackrel{\&OverBar;}{x_j}=\frac{x_{1j}+x_{2j}+...+x_{\mathrm{nj}}}{n},j=\mathrm{1,2},...m$ Calculate, obtain the standard deviation of qos parameter lumped parameter, the m in the described formula represents the number of qos parameter lumped parameter, and n represents the number of network to be evaluated, x _IjJ parameter representing i network to be evaluated, S _jThe standard deviation of j parameter in the expression qos parameter set;

Coefficient of variation determining unit, the standard deviation that is used for qos parameter lumped parameter that described standard deviation determining unit is determined is according to formula $v_j=\frac{S_j}{\stackrel{\&OverBar;}{x_j}},j=\mathrm{1,2},...m$ Calculate, obtain the coefficient of variation of qos parameter lumped parameter, the v in the described formula _jThe coefficient of variation of j parameter in the expression qos parameter set;

The normalization unit, the coefficient of variation v that is used for the qos parameter lumped parameter that described coefficient of variation determining unit is definite carries out normalized, obtains second weight of described qos parameter lumped parameter.

10, device according to claim 8 is characterized in that, described the 3rd weight determining unit comprises:

The degree of correlation determining unit is used for first weight and second weight according to formula $\mathrm{\&alpha;}=\frac{d}{d_{\max }},$ $d_{\max }=\sqrt{2},$ β=1-α and $d=\sqrt{{(y_1-x_1)}^2+{(y_2-x_2)}^2+...+{(y_j-x_j)}^2},j=\mathrm{1,2},...m$ Calculate, obtain the degree of correlation between described first weight and described second weight, the m in the described formula represents the number of described first weight and second weight, x _jRepresent described first weight, y _jRepresent described second weight, α and β represent the degree of correlation between described first weight and described second weight;

Integrated unit is used for the degree of correlation determined according to described degree of correlation determining unit, with first weight and second weight according to formula w _j=α x _j+ β y _jMerge, obtain the 3rd weight of described qos parameter lumped parameter, the w in the described formula _jThe 3rd weight of j parameter in the expression qos parameter set.

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