CN101534535B - Wireless network switching method based on information fusion of terminal and network - Google Patents

Abstract

The invention discloses a wireless network switching method based on information fusion of a terminal and a network. The method includes the followings: the decision information for network switching is determined according to network key parameter information and terminal parameter information; network quality information is obtained according to the decision information, and network switching processing is carried out according to the network quality information. Before determining the decision information for network switching according to the network key parameter information and the terminal parameter information, the method further comprises the followings: the network parameter information of network broadcasting is received, and the network parameter information comprises the network parameter information of the currently attached network and the network parameter information of candidate network; and the network key parameter information is selected from the network parameter information according to the terminal requirement. The invention can be used for switching among heterogeneous wireless networks, and also can be used for switching among isomorphic wireless networks; and the invention solves the problems of great system complexity, big error of network switching, inaccurate switching condition and bad universality in the prior art.

Description

Wireless network switching method based on terminal and network information fusion

Technical field

The present invention relates to a kind of wireless network switching method, belong to the mobile communication technology field based on terminal and network information fusion.

Background technology

Along with the development of mobile communication technology, following mobile communication environment will comprise various Radio Access Networks with different transmission rates, coverage, power system capacity and service level.In order to make full use of the characteristics of different access networks, provide professional broadband, individualized and intelligentized network service to the user, cooperation between the heterogeneous wireless network and fusion are the focuses that present people pay close attention to.Wherein, the technology of switching between heterogeneous wireless network is one of key technology that realizes the network integration.

Handoff technique between existing network mainly contains three kinds of modes: switch between the net that side Network Based control is initiated, with terminal control and network controls combine switch between the net of initiating and control is initiated based on terminal net between switch.In the process of the method for switching network that adopts traditional side control Network Based, when the bigger dynamic change of the deployment and the upstate existence of access network, can there be the problem of state consistency and protocol convergence speed between the network, the flexibility deficiency; In addition, need to exchange in real time the state information of each network between the access network, the wireless channel that the signaling of beared information is limited with occupied bandwidth.The switching mode that terminal control and network controls combine is often at specific user and particular network, and coupling closely has very big application limitation, and versatility is bad.At present method for switching network that adopt based on terminal control more.In existing method for switching network, focus mostly on and insert the architecture, signaling process etc. of different isomerization access network at portable terminal based on terminal control; The carrying of signaling system based on the extra wireless network of design separately, has in fact increased a kind of access network, thereby has strengthened the complexity of system often; When network switched, terminal was carried out simple superposition to the state parameter of each access network that receives and is promptly made the decision-making that is linked into a certain access network, and error is bigger, and switching condition is inaccurate.

Summary of the invention

The objective of the invention is defective at above-mentioned prior art, a kind of wireless network switching method based on terminal and network information fusion is provided, big with the complexity that solves system in the prior art, the error that network switches is bigger, the problem of the inaccurate and versatility difference of switching condition.

For achieving the above object, the invention provides a kind of wireless network switching method, comprising based on terminal and network information fusion:

Receive the network parameter information of Web broadcast, described network parameter information comprises the network parameter information of current attach to network and the network parameter information of candidate network;

From described network parameter information, select the network key parameter information, described network key parameter information as shown in Equation (1),

$N\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}{a\left(\mathrm{\τ}\right)}_{11}& b{\left(\mathrm{\τ}\right)}_{12}& c{\left(\mathrm{\τ}\right)}_{13}& ...& N{\left(\mathrm{\τ}\right)}_{1m}\\ {a\left(\mathrm{\τ}\right)}_{21}& b{\left(\mathrm{\τ}\right)}_{22}& c{\left(\mathrm{\τ}\right)}_{23}& ...& N{\left(\mathrm{\τ}\right)}_{2m}\\ a{\left(\mathrm{\τ}\right)}_{31}& b{\left(\mathrm{\τ}\right)}_{32}& {c\left(\mathrm{\τ}\right)}_{33}& ...& {N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ {a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& {c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& {N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(1\right)$

Wherein, N (τ) is the network key parameter information, N (τ) _IjBe matrix element, τ is the time, i, and j is positive integer;

The network key parameter information of current attach to network is illustrated in the 1st row of N (τ), and the 2nd row that the network key parameter information of n candidate network is illustrated respectively in N (τ) is capable to n+1; For each network, select m network key parameter, i.e. a (τ) _IjB (τ) _IjC (τ) _IjN (τ) _Ij, i=1,2 ... n+1; J=1,2 ... m is illustrated respectively in the 1st of N (τ) and is listed as m row, n wherein, and m is a positive integer;

Terminal parameter information is K (τ) _s, wherein s is a positive integer, the number of the terminal parameter in the GC group connector parameter information;

According to network key parameter information and terminal parameter information, be identified for the decision information that network switches;

Obtain network quality information according to described decision information, and carry out the network hand-off process according to described network quality information;

Wherein, described according to network key parameter information and terminal parameter information, the decision information that is identified for the network switching comprises:

Application of formula (2) computing network critical parameter information N (τ) and terminal parameter information K (τ) _sCorrelation function F,

F＝f _ij(K(τ) _s，N(τ) _ij)， (2)

The ratio ω (τ) of the summation of the correlation function value of the correlation function value of each network key parameter correspondence and all-network key parameter among application of formula (3) the computing network critical parameter information N (τ) _Ij,

$\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{\mathrm{ij}}=\frac{f_{\mathrm{ij}}({K\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{\mathrm{ij}})}{\underset{j^{\′}=1}{\overset{m}{\mathrm{\Σ}}}{f}_{{\mathrm{ij}}^{\′}}(K{\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{{\mathrm{ij}}^{\′}})},---\left(3\right)$

Wherein, F＞0,0＜ω (τ) _Ij≤ 1, 1≤j '≤m and j ' are integer;

Application of formula (4) is weighted processing to described network key parameter information N (τ), obtains decision matrix M (τ), and preserves this decision matrix M (τ),

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}{a\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}b{\left(\mathrm{\τ}\right)}_{12}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}c{\left(\mathrm{\τ}\right)}_{13}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{1m}N{\left(\mathrm{\τ}\right)}_{1m}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}{a\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}b{\left(\mathrm{\τ}\right)}_{22}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{23}c{\left(\mathrm{\τ}\right)}_{23}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{27}N{\left(\mathrm{\τ}\right)}_{2m}\\ {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}a\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}b{\left(\mathrm{\τ}\right)}_{32}& {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{33}c\left(\mathrm{\τ}\right)}_{33}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{3m}{N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}{a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}{c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+1,m}{N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(4\right).$

Wireless network switching method based on terminal and network information fusion of the present invention, not needing additionally increases a kind of access network, has reduced the complexity of system.And, when network switches, the network key parameter information of the terminal parameter information of terminal self and current attach to network and candidate network fully combined carry out Analysis of Policy Making, thereby improved the accuracy of network switching condition, reduced the error of terminal handover network operation, thereby made terminal can get access to network as required with optimal service quality.The present invention can be used for the switching between the heterogeneous wireless network, also can be used for the switching between the isomorphism wireless network.

Below by drawings and Examples, technical scheme of the present invention is described in further detail.

Description of drawings

Fig. 1 is the flow chart that the present invention is based on wireless network switching method first embodiment of terminal and network information fusion;

Fig. 2 is the structural representation that the present invention is based on the application scenarios of wireless network switching method second embodiment that terminal and the network information merge;

Fig. 3 is the flow chart that the present invention is based on wireless network switching method second embodiment of terminal and network information fusion;

Fig. 4 is the flow chart that the present invention is based on wireless network switching method the 3rd embodiment of terminal and network information fusion;

Fig. 5 is the flow chart that the present invention is based on wireless network switching method the 4th embodiment of terminal and network information fusion.

Embodiment

The wireless network switching method that the present invention is based on the fusion of the terminal and the network information comprises: according to network key parameter information and terminal parameter information, be identified for the decision information that network switches; Obtain network quality information according to decision information, and carry out the network hand-off process according to network quality information.In the method for switching network of the present invention, the current attach to network of terminal parameter information and the access of this terminal and the network key parameter information of candidate network broadcasting are combined, obtain decision information, can weigh prediction according to this decision information then, determine the network quality information of current attach to network and candidate network respectively, can assess the service quality of network according to this network quality information, thereby make terminal from this network quality information, to select top-quality network to carry out handover operation.Method for switching network of the present invention, not needing additionally increases a kind of access network, has reduced the complexity of system.And, when network switches, the network key parameter information of the terminal parameter information of terminal self and current attach to network and candidate network fully combined carry out Analysis of Policy Making, thereby improved the accuracy of network switching condition, reduced the error of terminal handover network operation, thereby made terminal can get access to network as required with optimal service quality.

Fig. 1 is the flow chart that the present invention is based on wireless network switching method first embodiment of terminal and network information fusion, and as shown in Figure 1, the method for present embodiment comprises:

The network parameter information of step 101, reception Web broadcast, this network parameter information comprises the network parameter information of current attach to network and the network parameter information of candidate network;

Specifically, terminal can receive the network parameter information of current attach to network and the network parameter information of candidate network periodically.If terminal is to possess the multimode terminal that inserts the heterogeneous networks ability simultaneously, the cycle that receives the network parameter information of Web broadcast can further shorten, with more accurate to the network parameter variation prediction; If terminal can only insert single network at synchronization, the network parameter information that receives broadcasting so can only utilize the gap of professional transmission to carry out, and this one-period of this moment need be by well-designed with prediction accuracy and the prediction cost of balance to the network parameter information change.

Step 102, from network parameter information, select the network key parameter information according to terminal requirements, the network key parameter information as shown in Equation (1),

$N\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}{a\left(\mathrm{\τ}\right)}_{11}& b{\left(\mathrm{\τ}\right)}_{12}& c{\left(\mathrm{\τ}\right)}_{13}& ...& N{\left(\mathrm{\τ}\right)}_{1m}\\ {a\left(\mathrm{\τ}\right)}_{21}& b{\left(\mathrm{\τ}\right)}_{22}& c{\left(\mathrm{\τ}\right)}_{23}& ...& N{\left(\mathrm{\τ}\right)}_{2m}\\ a{\left(\mathrm{\τ}\right)}_{31}& b{\left(\mathrm{\τ}\right)}_{32}& {c\left(\mathrm{\τ}\right)}_{33}& ...& {N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ {a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& {c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& {N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(1\right)$

Wherein, N (τ) is the network key parameter information, N (τ) _IjBe matrix element, τ is the time, i, and j is positive integer.

The network key parameter information of current attach to network is illustrated in the 1st row of N (τ), and the 2nd row that the network key parameter information of n candidate network is illustrated respectively in N (τ) is capable to n+1; For each network, select m network key parameter, i.e. a (τ) _IjB (τ) _IjC (τ) _IjN (τ) _Ij, i=1,2 ... n+1; J=1,2 ... m is illustrated respectively in the 1st of N (τ) and is listed as m row, n wherein, and m is a positive integer; Terminal parameter information K (τ) _s, wherein s is a positive integer, the number of the terminal parameter in the GC group connector parameter information; User's difference, parameter may be different, and the number of parameter also may be different.Terminal can be selected the network key parameter information according to himself needs from the network parameter information of Web broadcast, these network key parameter informations promptly can be used as the reference information of the service quality of assessment candidate network and current attach to network.Need to prove, between attach to network and the candidate network, between the candidate network and the ordering between each parameter can be unrestricted.

Step 103, according to network key parameter information and terminal parameter information, be identified for the decision information that network switches.This step 103 can be specially:

At first, application of formula (2) computing network critical parameter information N (τ) and terminal parameter information K (τ) _sCorrelation function F, the network parameter difference, the counterpart terminal parameter may be also different with the correlation function between this network parameter,

F＝f _ij(K(τ) _s，N(τ) _ij)， (2)

Then, the ratio ω (τ) of the summation of the correlation function value of the correlation function value of each network key parameter correspondence and all-network key parameter among application of formula (3) the computing network critical parameter information N (τ) _Ij,

$\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{\mathrm{ij}}=\frac{f_{\mathrm{ij}}({K\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{\mathrm{ij}})}{\underset{j^{\′}=1}{\overset{m}{\mathrm{\Σ}}}{f}_{{\mathrm{ij}}^{\′}}(K{\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{{\mathrm{ij}}^{\′}})},---\left(3\right)$

Wherein, F＞0,0＜ω (τ) _Ij≤ 1,

1≤j '≤m and j ' are integer.The subscript of the network key parameter that j ' representative may be used, this ratio ω (τ) _IjRepresented the susceptibility of this terminal to each network key parameter in the network key parameter information.

At last, application of formula (4) is weighted processing to network key parameter information N (τ), obtains decision matrix M (τ),

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}{a\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}b{\left(\mathrm{\τ}\right)}_{12}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}c{\left(\mathrm{\τ}\right)}_{13}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{1m}N{\left(\mathrm{\τ}\right)}_{1m}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}{a\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}b{\left(\mathrm{\τ}\right)}_{22}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{23}c{\left(\mathrm{\τ}\right)}_{23}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{2m}N{\left(\mathrm{\τ}\right)}_{2m}\\ {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}a\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}b{\left(\mathrm{\τ}\right)}_{32}& {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{33}c\left(\mathrm{\τ}\right)}_{33}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{3m}{N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}{a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}{c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+1,m}{N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(4\right)$

Preserve this decision matrix, and will according to step 101～step 103 mode obtain and the decision matrixs of several historical junctures of preserving as the decision information of current time, upgrade at any time.Particularly, terminal can be preserved the decision matrix of the historical juncture of some, decision matrix for the expired historical juncture that surpasses certain hour can no longer keep, when attach to network or candidate network change, adjust historical information, can only keep current attach to network and candidate network relevant historical decision matrix constantly.

For instance, the network key parameter information can comprise: bandwidth B (τ), delay D (τ), service quality Q (τ), priority R (τ), coefficient of safety S (τ) and expense C (τ), terminal parameter information can comprise: movement speed v (τ), the terminal to network access point apart from d (τ) and end cell energy information p (τ).Therefore, correlation function F can correspondingly be:

F＝f _ij(v(τ)，d(τ)，p(τ)，N(τ) _ij)， (8)

Network parameter difference wherein, the counterpart terminal parameter may be also different with the correlation function between this network parameter, ratio ω (τ) _IjCan be specially:

$\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{\mathrm{ij}}=\frac{f_{\mathrm{ij}}(v\left(\mathrm{\τ}\right),d\left(\mathrm{\τ}\right),p\left(\mathrm{\τ}\right),N{\left(\mathrm{\τ}\right)}_{\mathrm{ij}})}{\underset{j^{\′}=1}{\overset{m}{\mathrm{\Σ}}}{f}_{{\mathrm{ij}}^{\′}}(v\left(\mathrm{\τ}\right),d\left(\mathrm{\τ}\right),p\left(\mathrm{\τ}\right),N{\left(\mathrm{\τ}\right)}_{{\mathrm{ij}}^{\′}})},---\left(9\right)$

Therefore, decision matrix M (τ) can be specially:

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{cccccc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}{B\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}\frac{1}{{D\left(\mathrm{\τ}\right)}_{12}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}Q{\left(\mathrm{\τ}\right)}_{13}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}{R\left(\mathrm{\τ}\right)}_{14}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{15}S{\left(\mathrm{\τ}\right)}_{15}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{16}\frac{1}{C{\left(\mathrm{\τ}\right)}_{16}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}{B\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}\frac{1}{{D\left(\mathrm{\τ}\right)}_{22}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{23}{Q\left(\mathrm{\τ}\right)}_{23}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{24}{R\left(\mathrm{\τ}\right)}_{24}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{25}S{\left(\mathrm{\τ}\right)}_{25}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{26}\frac{1}{C{\left(\mathrm{\τ}\right)}_{26}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}{B\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}\frac{1}{{D\left(\mathrm{\τ}\right)}_{32}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{33}Q{\left(\mathrm{\τ}\right)}_{33}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{34}R{\left(\mathrm{\τ}\right)}_{34}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{35}S{\left(\mathrm{\τ}\right)}_{35}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{36}\frac{1}{C{\left(\mathrm{\τ}\right)}_{36}}\\ .& .& .& .& .& .\\ .& .& .& .& .& .\\ .& .& .& .& .& .\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}{B\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}\frac{1}{{D\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}}& {\mathrm{\ω}\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}{Q\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,4}}R{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,4}}& {\mathrm{\ω}\left(\mathrm{\τ}\right)}_{n+\mathrm{1,5}}S{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,5}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,6}}\frac{1}{C{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,6}}}\end{array}\right]---\left(10\right)$

Preserve this decision matrix, the user can be as the case may be upgrades the decision matrix of k the historical juncture of preserving, and as the decision information of current time, k is a positive integer.

Because concerning the user, time delay is the smaller the better, expense is few more good more, is expressed as its form reciprocal to postponing D (τ) and expense C (τ) in N (τ).

Step 104, obtain network quality information according to decision information.This step 104 can be specially:

At first, application of formula (5) is weighted processing to the decision matrix of several historical junctures, determines the prediction of quality matrix

$\hat{M}\left(\mathrm{\τ}\right)=\left[\begin{array}{cccc}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1& \underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{2}M{(\mathrm{\τ}-h)}_2& ...& \underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{m}M{(\mathrm{\τ}-h)}_m\end{array}\right],---\left(5\right)$

Wherein, M (τ-h) _j, (h=0,1,2 ... k-1; J=1,2 ... m) the expression user is in the column vector of τ-h decision matrix constantly, and k is a positive integer; Selected historical juncture number can be with can be different when terminal was determined the prediction of quality matrix at every turn.

$\mathrm{\α}{(\mathrm{\τ}-h)}_j=\frac{\underset{i=1}{\overset{n+1}{\mathrm{\Σ}}}\mathrm{\ω}{(\mathrm{\τ}-h)}_{\mathrm{ij}}}{\underset{h^{\′}=0}{\overset{k-1}{\mathrm{\Σ}}}\underset{i=1}{\overset{n+1}{\mathrm{\Σ}}}\mathrm{\ω}{(\mathrm{\τ}-h^{\′})}_{\mathrm{ij}}};---\left(6\right)$

Wherein, 0＜α (τ-h) _j≤ 1,

0≤h '≤k-1.Because the network key parameter information of historical juncture has certain reference role to the network key parameter information of current time, therefore, present embodiment can be used different weights α to the decision matrix of each historical juncture, and (τ-h) is weighted processing, these weights have been represented each network key parameter at shared proportion of each historical juncture, and promptly historical information is to the Perturbation Effect degree of current predicted value.Then, application of formula (7) is weighted processing to the quality prediction matrix, obtains network quality information Y (τ),

$Y\left(\mathrm{\τ}\right)=[\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\left(\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1\right)+...+\mathrm{\β}{\left(\mathrm{\τ}\right)}_m\left(\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{m}M{(\mathrm{\τ}-h)}_m\right)]$

$=\left[\begin{array}{c}\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_1\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{11}a{(\mathrm{\τ}-h)}_{11}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{21}a{(\mathrm{\τ}-h)}_{21}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{31}a{(\mathrm{\τ}-h)}_{31}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+\mathrm{1,1}}a{(\mathrm{\τ}-h)}_{n+\mathrm{1,1}}\end{array}\right]\end{array}\right)+\mathrm{\β}{\left(\mathrm{\τ}\right)}_2\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_2\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{12}b{(\mathrm{\τ}-h)}_{12}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{22}b{(\mathrm{\τ}-h)}_{22}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{32}b{(\mathrm{\τ}-h)}_{32}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+\mathrm{1,2}}b{(\mathrm{\τ}-h)}_{n+\mathrm{1,2}}\end{array}\right]\end{array}\right)\end{array}\right.$

$\left.\begin{array}{c}+...+\mathrm{\β}{\left(\mathrm{\τ}\right)}_m\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_m\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{1m}N{(\mathrm{\τ}-h)}_{1m}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{2m}N{(\mathrm{\τ}-h)}_{2m}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{3m}N{(\mathrm{\τ}-h)}_{3m}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+1,m}N{(\mathrm{\τ}-h)}_{n+1,m}\end{array}\right]\end{array}\right)\end{array}\right]---\left(7\right)$

Wherein, β (τ) _jBe the weights of the network key parameter of the correspondence in each network, 0＜β (τ) _j≤ 1,

$\underset{j=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\β}{\left(\mathrm{\τ}\right)}_j=1.$

For overall merit heterogeneous networks key parameter obtains the influence of service quality to terminal and considers the versatility of the network key parameter-definition of different access networks, define between these network key parameters to concern for linear, additive.According to the significance level difference of each network key parameter to terminal, can be respectively to the quality prediction matrix Each row network key parameter (τ) is provided with different weights β (τ) _j, can offer the difference of the professional ability of this terminal to reflect each network.

Step 105, carry out the network hand-off process according to network quality information.

Step 105 can be specially:

At first, determine maximum network mass value Y (τ) among the network quality information Y (τ) _MaxCorresponding network; This maximum network mass value Y (τ) _MaxCorresponding network is in current attach to network and the candidate network, can carry out network network that switch, best performance for terminal.Then, judge and maximum network mass value Y (τ) _MaxWhether corresponding network is current attach to network, if, then cancel the network handover operation, otherwise, judge maximum network mass value Y (τ) _MaxAnd whether the difference between the network quality information Y (τ) of current attach to network greater than preset threshold, and greater than this threshold value the time current attach to network is switched to and maximum network mass value Y (τ) _MaxCorresponding network.

Present embodiment with maximum network mass value Y (τ) _MaxWhen corresponding network is candidate network, with Y (τ) _MaxAnd between the network quality information Y (τ) of current attach to network a threshold value is set, the quality of service that this threshold value can effectively prevent candidate network and current attach to network relatively near the time, terminal between network, switch continually and trigger terminal in internetwork " table tennis " phenomenon.

In the wireless network switching method of present embodiment based on terminal and network information fusion, terminal is by receiving the network parameter information of current attach to network and candidate network periodically, can therefrom choose required network key parameter information, and according to this network key parameter information calculating decision matrix, calculate according to decision matrix then and obtain network quality information, and carry out the network hand-off process according to this network quality information.Wherein, the process of calculating decision matrix has taken into full account the susceptibility of the characteristic of terminal to each network key parameter in the network key parameter information itself; The process of obtaining network quality information has taken into full account the historical juncture to the influence of current prediction of quality value and each network key parameter weight when the evaluate network quality, thereby make the last network quality information that obtains can objectively reflect network service quality and with the matching degree of the needed network quality of terminal, improved the accuracy of network switching condition, reduced the error of terminal handover network operation, thereby made terminal can get access to network as required with optimal service quality.In addition, when the network handover operation,, can effectively prevent terminal frequent problem of switching between network, thereby improve the network switching efficiency by setting threshold between current attach to network and candidate network.Present embodiment is based on the wireless network switching method of terminal and network information fusion, and not needing additionally increases a kind of access network, has also further reduced the complexity of system.

Wireless network switching method second embodiment that the present invention is based on the fusion of the terminal and the network information is that example describes with a concrete application scenarios.Fig. 2 is the structural representation that the present invention is based on the application scenarios of wireless network switching method second embodiment that terminal and the network information merge, is the switch application scene structure schematic diagram between a kind of heterogeneous wireless network.As shown in Figure 2, this application scenarios is: the current attach to network of terminal A is that worldwide interoperability for microwave inserts (Worldwide Interoperability for Microwave Access, hereinafter to be referred as: WiMAX) network, it is the current WiMAX of the being in network of terminal A, in the access point coverage of Satellite network and these three networks of Ad hoc network, and moving along the direction shown in the arrow among Fig. 2 with speed v.

Fig. 3 is the flow chart that the present invention is based on wireless network switching method second embodiment of terminal and network information fusion, and as shown in Figure 3, the method for present embodiment comprises:

Step 301, terminal A receive the network parameter information separately of Web broadcast.

This network comprises: but the current attach to network WiMAX network at terminal A place and as the access network Satellite network and the Ad hoc network of candidate network.

Step 302, terminal A select to be suitable for the network key parameter information of self-condition, comprise bandwidth B (τ) and postpone D (τ).Therefore, N (τ) can adopt following formula (11) expression

$N\left(\mathrm{\τ}\right)=\left[\begin{array}{cc}B{\left(\mathrm{\τ}\right)}_{11}& \frac{1}{D{\left(\mathrm{\τ}\right)}_{12}}\\ B{\left(\mathrm{\τ}\right)}_{21}& \frac{1}{D{\left(\mathrm{\τ}\right)}_{22}}\\ B{\left(\mathrm{\τ}\right)}_{31}& \frac{1}{D{\left(\mathrm{\τ}\right)}_{32}}\end{array}\right]---\left(11\right)$

Wherein, the current attach to network WiMAX network of network critical parameter information of the 1st row representative, the 2nd row and the 3rd row are represented candidate network Satellite network and Ad hoc network of network critical parameter information respectively.

Step 303, selection terminal parameter information K (τ) _s

In the present embodiment, this terminal parameter information K (τ) _sCan select movement speed v (τ), the terminal to network access point apart from d (τ) and end cell energy information p (τ).

Need to prove not have sequencing between step 302 and the step 303, also can not have sequencing between step 301 and the step 303.

Step 304, application of formula (8) are calculated N (τ) and K (τ) _sCorrelation function F.

Network parameter difference wherein, the counterpart terminal parameter may be also different with the correlation function between this network parameter.

Step 305, application of formula (9) ratio calculated ω (τ) _Ij

These weights have been represented the susceptibility of this user to this this performance parameter of network.

Step 306, application of formula (12) are weighted processing to network key parameter information N (τ), obtain decision matrix M (τ),

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{cc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}B{\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}\frac{1}{D{\left(\mathrm{\τ}\right)}_{12}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}B{\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}\frac{1}{D{\left(\mathrm{\τ}\right)}_{22}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}B{\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}\frac{1}{D{\left(\mathrm{\τ}\right)}_{32}}\end{array}\right]---\left(12\right)$

Step 307, preserve this decision matrix, the decision matrix of k historical juncture of preserving is upgraded, as the decision information of current time, k is a positive integer.

Step 308, application of formula (13) are weighted processing to the decision information of the decision matrix formation of k historical juncture, determine the prediction of quality matrix

$\hat{M}\left(\mathrm{\τ}\right)=\left[\begin{array}{cc}\underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1& \underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{2}M{(\mathrm{\τ}-h)}_2\end{array}\right]---\left(13\right)$

Wherein,

0≤h '≤2 and h ' they are integer, and 0＜α (τ-h) _j≤ 1,

These weights α (τ-h) _jRepresented each network key parameter at shared proportion of each historical juncture, promptly historical information is to the Perturbation Effect degree of current predicted value.

Step 309, application of formula (14) are weighted processing to the quality prediction matrix, obtain network quality information Y (τ),

$Y\left(\mathrm{\τ}\right)=[\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\left(\underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1\right)+\mathrm{\β}{\left(\mathrm{\τ}\right)}_2\left(\underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{2}M{(\mathrm{\τ}-h)}_2\right)]$

$=\left[\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\begin{array}{c}\end{array}\left(\begin{array}{c}\underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_1\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{11}B{(\mathrm{\τ}-h)}_{11}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{21}B{(\mathrm{\τ}-h)}_{21}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{31}B{(\mathrm{\τ}-h)}_{31}\end{array}\right]\end{array}\right)+\mathrm{\β}{\left(\mathrm{\τ}\right)}_2\left(\begin{array}{c}\underset{h=0}{\overset{2}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_2\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{12}\frac{1}{D{(\mathrm{\τ}-h)}_{12}}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{22}\frac{1}{D{(\mathrm{\τ}-h)}_{22}}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{32}\frac{1}{D{(\mathrm{\τ}-h)}_{32}}\end{array}\right]\end{array}\right)\right]---\left(14\right)$

For overall merit heterogeneous networks key parameter obtains the influence of service quality to terminal and considers the versatility of the network key parameter-definition of different access networks, define between these network key parameters to concern for linear, additive.According to the significance level difference of each network key parameter to terminal, can be respectively to the quality prediction matrix Each row network key parameter different weights β (τ) is set _j, 0＜β (τ) _j≤ 1, To reflect that each network can offer the difference of the professional ability of this terminal.In the present embodiment, Y (τ) is the matrix of triplex row one row.

Maximum network mass value Y (τ) among step 310, the judgement Y (τ) _MaxWhether corresponding network is the WiMAX network, if execution in step 311 then, otherwise execution in step 312.

Step 311, cancellation network handover operation.

Be still the WiMAX network at the network that judge to obtain the current network best performance, during promptly current attach to network, terminal A will not carry out the network handover operation.

Step 312, with maximum network mass value Y (τ) _MaxWhen corresponding network is candidate network, judge maximum network mass value Y (τ) _MaxAnd whether the difference between the network quality information Y (τ) of current attach to network greater than preset threshold, if execution in step 313 then, otherwise execution in step 311.

Present embodiment with maximum network mass value Y (τ) _MaxWhen corresponding network is candidate network, with Y (τ) _MaxAnd between the network quality information Y (τ) of current attach to network a threshold value is set, the quality of service that this threshold value can effectively prevent candidate network and current attach to network relatively near the time, terminal between network, switch continually and trigger terminal in internetwork " table tennis " phenomenon.

Step 313, current attach to network is switched to and maximum network mass value Y (τ) _MaxCorresponding network.

If with maximum network mass value Y (τ) _MaxCorresponding network is the Satellite network, and then terminal A can be that the WiMAX network switches to the Satellite network with current attach to network, if with maximum network mass value Y (τ) _MaxCorresponding network is an Ad hoc network, and then terminal A can be that the WiMAX network switches to Ad hoc network with current attach to network.After the network handover operation took place, the current attach to network of terminal A was the network after the switching.

Present embodiment is example based on the method for switching network of terminal and network information fusion with a concrete scene, in the process of calculating decision matrix, has taken into full account the susceptibility of the characteristic of terminal to each network key parameter in the network key parameter information itself; In the process of obtaining network quality information, taken into full account the historical juncture to the influence of current prediction of quality value and each network key parameter weight when the evaluate network quality, thereby make the last network quality information that obtains can objectively reflect network service quality and with the matching degree of the needed network quality of terminal, improved the accuracy of network switching condition, reduced the error of terminal handover network operation, thereby made terminal can get access to network as required with optimal service quality.In addition, when the network handover operation,, can effectively prevent terminal frequent problem of switching between network, thereby improve the network switching efficiency by setting threshold between current attach to network and candidate network.Present embodiment is based on the method for switching network of terminal and network information fusion, and not needing additionally increases a kind of access network, has also further reduced the complexity of system.

Fig. 4 is the flow chart that the present invention is based on wireless network switching method the 3rd embodiment of terminal and network information fusion, and as shown in Figure 4, the method for present embodiment comprises:

Step 401, network side periodically are the terminal radio network parameter information in the coverage.

Step 402, terminal receive this network parameter information.

This network parameter information comprises the network parameter information of current attach to network and the network parameter information of candidate network.

Step 403, terminal are selected the network key parameter information according to demand from network parameter information.

Step 404, terminal are identified for the decision information that network switches according to network key parameter information and terminal parameter information, obtain network quality information according to decision information.

Step 401～404 can be adopted and be the present invention is based on wireless network switching method first embodiment that terminal and the network information merge and the mode described in second embodiment realizes, repeat no more.

Step 405, send the network handoff request to network side according to this network quality information.

Step 406, network side judge whether this network switches feasible, if feasible, then execution in step 408; Otherwise execution in step 407.

Step 407, send gravity treatment handover network signal to terminal.

Terminal can be decided in its sole discretion and whether continue execution in step 402～step 405 after receiving this gravity treatment handover network signal.

And step 407 also can be for finishing this network handover operation.

Step 408, network side send the network switching command to terminal.

Step 409, terminal are carried out the network handover operation according to this network switching command.

Present embodiment is mutual by terminal and network side, form the FEEDBACK CONTROL handover mechanism, after can making network side finish the decision operation of optimum handover network in terminal, network handover operation to this terminal is controlled, thereby in the accuracy that has improved the network switching condition, reduce the error of terminal handover network operation, made when terminal can get access to the network with optimal service quality as required, further realized the global optimization of communication system.

Fig. 5 is the flow chart that the present invention is based on wireless network switching method the 4th embodiment of terminal and network information fusion, and as shown in Figure 5, the method for present embodiment comprises:

Step 501, terminal send handoff request to network side.

Step 502, network side are selected candidate network according to this handoff request.

The candidate network that network side can satisfy the demands from the selection of behavior terminal according to the handoff request of terminal.

Step 503, network side send the information of this candidate network to terminal.

Step 504, terminal be according to the network parameter information corresponding with information this candidate network that receive and the network parameter information of current attach to network, the computing network quality information, and carry out the network hand-off process according to this network quality information.

This network hand-off process promptly can be that terminal is carried out the network handover operation according to this network quality information, also can be that terminal is cancelled this network handover operation according to this network quality information, and terminal can determine whether continue execution in step 501.The network handover operation both can be that terminal is carried out voluntarily, also can be that terminal is submitted a report asking for network side and this handover operation is controlled finished.

The specific implementation of step 504 can adopt and the present invention is based on wireless network switching method first embodiment that terminal and the network information merge and the mode described in second embodiment realizes, repeats no more.

Present embodiment by the control of network side, can provide the information of candidate network for terminal, thereby dwindled the network parameter range of information of the candidate network that terminal will receive, and improved the follow-up operating efficiency of terminal.Mutual by terminal and network side, form the FEEDBACK CONTROL handover mechanism, after can making network side finish the decision operation of optimum handover network in terminal, network handover operation to this terminal is controlled, thereby in the accuracy that has improved the network switching condition, reduce the error of terminal handover network operation, made when terminal can get access to the network with optimal service quality as required, further realized the global optimization of communication system.

In sum, the present invention is based in the wireless network switching method of the terminal and network information fusion, terminal is by receiving the network parameter information of current attach to network and candidate network periodically, can therefrom choose required network key parameter information, and according to this network key parameter information calculating decision matrix, calculate according to decision matrix then and obtain network quality information, and carry out the network hand-off process according to this network quality information.Wherein, the process of calculating decision matrix has taken into full account the susceptibility of the characteristic of terminal to each network key parameter in the network key parameter information itself; The process of obtaining network quality information has taken into full account the historical juncture to the influence of current prediction of quality value and each network key parameter weight when the evaluate network quality, thereby make the last network quality information that obtains can objectively reflect network service quality and with the matching degree of the needed network quality of terminal, improved the accuracy of network switching condition, reduced the error of terminal handover network operation, thereby made terminal can get access to network as required with optimal service quality.In addition, when the network handover operation,, can effectively prevent terminal frequent problem of switching between network, thereby improve the network switching efficiency by setting threshold between current attach to network and candidate network.The present invention is based on the wireless network switching method that the terminal and the network information merge, not needing additionally increases a kind of access network, has also further reduced the complexity of system, and flexibility is strong.Terminal control can combine with network controls, forms the FEEDBACK CONTROL handover mechanism, further realizes the global optimization of communication system.The present invention can be used for the switching between the heterogeneous wireless network, also can be used for the switching between the isomorphism wireless network, has good versatility.In addition, in carrying out research process of the present invention, the inventor finds, the present invention also can be used for the analysis and Control that the third party switches between corresponding network terminal etc.

It should be noted that at last: above embodiment is only in order to technical scheme of the present invention to be described but not limit it, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that: it still can make amendment or be equal to replacement technical scheme of the present invention, and these modifications or be equal to replacement and also can not make amended technical scheme break away from the spirit and scope of technical solution of the present invention.

Claims (7)

1. the wireless network switching method based on terminal and network information fusion is characterized in that, comprising:

Receive the network parameter information of Web broadcast, described network parameter information comprises the network parameter information of current attach to network and the network parameter information of candidate network;

From described network parameter information, select the network key parameter information, described network key parameter information as shown in Equation (1),

$N\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}{a\left(\mathrm{\τ}\right)}_{11}& b{\left(\mathrm{\τ}\right)}_{12}& c{\left(\mathrm{\τ}\right)}_{13}& ...& N{\left(\mathrm{\τ}\right)}_{1m}\\ {a\left(\mathrm{\τ}\right)}_{21}& b{\left(\mathrm{\τ}\right)}_{22}& c{\left(\mathrm{\τ}\right)}_{23}& ...& N{\left(\mathrm{\τ}\right)}_{2m}\\ a{\left(\mathrm{\τ}\right)}_{31}& b{\left(\mathrm{\τ}\right)}_{32}& {c\left(\mathrm{\τ}\right)}_{33}& ...& {N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ {a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& {c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& {N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(1\right)$

Wherein, N (τ) is the network key parameter information, N (τ) _IjBe matrix element, τ is the time, i, and j is positive integer;

The network key parameter information of current attach to network is illustrated in the 1st row of N (τ), and the 2nd row that the network key parameter information of n candidate network is illustrated respectively in N (τ) is capable to n+1; For each network, select m network key parameter, i.e. a (τ) _IjB (τ) _IjC (τ) _IjN (τ) _Ij, i=1,2 ... n+1; J=1,2 ... m is illustrated respectively in the 1st of N (τ) and is listed as m row, n wherein, and m is a positive integer;

Terminal parameter information is K (τ) _s, wherein s is a positive integer, the number of the terminal parameter in the GC group connector parameter information;

According to network key parameter information and terminal parameter information, be identified for the decision information that network switches;

Obtain network quality information according to described decision information, and carry out the network hand-off process according to described network quality information;

Wherein, described according to network key parameter information and terminal parameter information, the decision information that is identified for the network switching comprises:

Application of formula (2) computing network critical parameter information N (τ) and terminal parameter information K (τ) _sCorrelation function F,

F＝f _ij(K(τ) _s，N(τ) _ij)， (2)

The ratio ω (τ) of the summation of the correlation function value of the correlation function value of each network key parameter correspondence and all-network key parameter among application of formula (3) the computing network critical parameter information N (τ) _Ij,

$\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{\mathrm{ij}}=\frac{f_{\mathrm{ij}}({K\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{\mathrm{ij}})}{\underset{j^{\′}=1}{\overset{m}{\mathrm{\Σ}}}{f}_{{\mathrm{ij}}^{\′}}(K{\left(\mathrm{\τ}\right)}_s,N{\left(\mathrm{\τ}\right)}_{{\mathrm{ij}}^{\′}})},---\left(3\right)$

Wherein, F＞0,0＜ω (τ) _Ij≤ 1,

1≤j '≤m and j ' are integer;

Application of formula (4) is weighted processing to described network key parameter information N (τ), obtains decision matrix M (τ), and preserves this decision matrix M (τ),

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{ccccc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}{a\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}b{\left(\mathrm{\τ}\right)}_{12}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}c{\left(\mathrm{\τ}\right)}_{13}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{1m}N{\left(\mathrm{\τ}\right)}_{1m}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}{a\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}b{\left(\mathrm{\τ}\right)}_{22}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{23}c{\left(\mathrm{\τ}\right)}_{23}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{27}N{\left(\mathrm{\τ}\right)}_{2m}\\ {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}a\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}b{\left(\mathrm{\τ}\right)}_{32}& {\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{33}c\left(\mathrm{\τ}\right)}_{33}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{3m}{N\left(\mathrm{\τ}\right)}_{3m}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}{a\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}b{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}{c\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& ...& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+1,m}{N\left(\mathrm{\τ}\right)}_{n+1,m}\end{array}\right]---\left(4\right).$

2. the wireless network switching method based on terminal and network information fusion according to claim 1 is characterized in that, obtains network quality information according to described decision information and comprises:

Application of formula (5) is weighted processing to the decision matrix of several historical junctures, determines the prediction of quality matrix

$\hat{M}\left(\mathrm{\τ}\right)=\left[\begin{array}{cccc}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1& \underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{2}M{(\mathrm{\τ}-h)}_2& ...& \underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{m}M{(\mathrm{\τ}-h)}_m\end{array}\right],---\left(5\right)$

Wherein, k is a positive integer, h=0, and 1,2 ... k-1; J=1,2 ... m, and M (τ-h) _jRepresent the column vector of terminal at τ-h decision matrix constantly,

$\mathrm{\α}{(\mathrm{\τ}-h)}_j=\frac{\underset{i=1}{\overset{n+1}{\mathrm{\Σ}}}\mathrm{\ω}{(\mathrm{\τ}-h)}_{\mathrm{ij}}}{\underset{h^{\′}=0}{\overset{k-1}{\mathrm{\Σ}}}\underset{i=1}{\overset{n+1}{\mathrm{\Σ}}}\mathrm{\ω}{(\mathrm{\τ}-h^{\′})}_{\mathrm{ij}}}---\left(6\right)$

$\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_j=1,$ 0＜α(τ-h) _j≤1，

Wherein, 0≤h '≤k-1 and h ' are integer;

Application of formula (7) is weighted processing to the quality prediction matrix, obtains network quality information Y (τ),

$Y\left(\mathrm{\τ}\right)=[\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\left(\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{1}M{(\mathrm{\τ}-h)}_1\right)+...+\mathrm{\β}{\left(\mathrm{\τ}\right)}_m\left(\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_{m}M{(\mathrm{\τ}-h)}_m\right)]$

$=\left[\begin{array}{c}\mathrm{\β}{\left(\mathrm{\τ}\right)}_1\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_1\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{11}a{(\mathrm{\τ}-h)}_{11}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{21}a{(\mathrm{\τ}-h)}_{21}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{31}a{(\mathrm{\τ}-h)}_{31}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+\mathrm{1,1}}a{(\mathrm{\τ}-h)}_{n+\mathrm{1,1}}\end{array}\right]\end{array}\right)+\mathrm{\β}{\left(\mathrm{\τ}\right)}_2\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_2\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{12}b{(\mathrm{\τ}-h)}_{12}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{22}b{(\mathrm{\τ}-h)}_{22}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{32}b{(\mathrm{\τ}-h)}_{32}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+\mathrm{1,2}}b{(\mathrm{\τ}-h)}_{n+\mathrm{1,2}}\end{array}\right]\end{array}\right)\end{array}\right.$

$\left.\begin{array}{c}+...+\mathrm{\β}{\left(\mathrm{\τ}\right)}_m\left(\begin{array}{c}\underset{h=0}{\overset{k-1}{\mathrm{\Σ}}}\mathrm{\α}{(\mathrm{\τ}-h)}_m\left[\begin{array}{c}\mathrm{\ω}{(\mathrm{\τ}-h)}_{1m}N{(\mathrm{\τ}-h)}_{1m}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{2m}N{(\mathrm{\τ}-h)}_{2m}\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{3m}N{(\mathrm{\τ}-h)}_{3m}\\ .\\ .\\ .\\ \mathrm{\ω}{(\mathrm{\τ}-h)}_{n+1,m}N{(\mathrm{\τ}-h)}_{n+1,m}\end{array}\right]\end{array}\right)\end{array}\right]---\left(7\right)$

Wherein, β (τ) _jBe the weights of the network key parameter of the correspondence in each network, 0＜β (τ) _j≤ 1,

$\underset{j=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\β}{\left(\mathrm{\τ}\right)}_j=1.$

3. the wireless network switching method that merges based on terminal and the network information according to claim 2 is characterized in that, describedly carries out the network hand-off process according to described network quality information and comprises:

Determine maximum network mass value Y (τ) among the network quality information Y (τ) _MaxCorresponding network;

Judge whether the network of determining is current attach to network, if, then cancel handover operation, otherwise, whether the difference between the network of network quality information Y (τ) that judge to determine and the network quality information Y (τ) of current attach to network greater than preset threshold, and current attach to network is switched to this definite network greater than this threshold value the time.

4. the wireless network switching method based on terminal and network information fusion according to claim 3, it is characterized in that, described network key parameter information comprises: bandwidth B (τ), delay D (τ), service quality Q (τ), priority R (τ), coefficient of safety S (τ) and expense C (τ), described terminal parameter information comprises: movement speed v (τ), the terminal to network access point apart from d (τ) and end cell energy information p (τ).

5. the wireless network switching method based on terminal and network information fusion according to claim 4 is characterized in that described correlation function F is specially:

F＝f _ij(v(τ)，d(τ)，p(τ)，N(τ) _ij)， (8)

Described ratio ω (τ) _IjBe specially:

$\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{\mathrm{ij}}=\frac{f_{\mathrm{ij}}(v\left(\mathrm{\τ}\right),d\left(\mathrm{\τ}\right),p\left(\mathrm{\τ}\right),N{\left(\mathrm{\τ}\right)}_{\mathrm{ij}})}{\underset{j^{\′}=1}{\overset{m}{\mathrm{\Σ}}}{f}_{{\mathrm{ij}}^{\′}}(v\left(\mathrm{\τ}\right),d\left(\mathrm{\τ}\right),p\left(\mathrm{\τ}\right),N{\left(\mathrm{\τ}\right)}_{{\mathrm{ij}}^{\′}})},---\left(9\right)$

Described decision matrix M (τ) is specially:

$M\left(\mathrm{\τ}\right)=\left[\begin{array}{cccccc}\mathrm{\ω}{\left(\mathrm{\τ}\right)}_{11}{B\left(\mathrm{\τ}\right)}_{11}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{12}\frac{1}{{D\left(\mathrm{\τ}\right)}_{12}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}Q{\left(\mathrm{\τ}\right)}_{13}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{13}{R\left(\mathrm{\τ}\right)}_{14}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{15}S{\left(\mathrm{\τ}\right)}_{15}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{16}\frac{1}{C{\left(\mathrm{\τ}\right)}_{16}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{21}{B\left(\mathrm{\τ}\right)}_{21}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{22}\frac{1}{{D\left(\mathrm{\τ}\right)}_{22}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{23}{Q\left(\mathrm{\τ}\right)}_{23}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{24}{R\left(\mathrm{\τ}\right)}_{24}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{25}S{\left(\mathrm{\τ}\right)}_{25}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{26}\frac{1}{C{\left(\mathrm{\τ}\right)}_{26}}\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{31}{B\left(\mathrm{\τ}\right)}_{31}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{32}\frac{1}{{D\left(\mathrm{\τ}\right)}_{32}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{33}Q{\left(\mathrm{\τ}\right)}_{33}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{34}R{\left(\mathrm{\τ}\right)}_{34}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{35}S{\left(\mathrm{\τ}\right)}_{35}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{36}\frac{1}{C{\left(\mathrm{\τ}\right)}_{36}}\\ .& .& .& .& .& .\\ .& .& .& .& .& .\\ .& .& .& .& .& .\\ \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}{B\left(\mathrm{\τ}\right)}_{n+\mathrm{1,1}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}\frac{1}{{D\left(\mathrm{\τ}\right)}_{n+\mathrm{1,2}}}& {\mathrm{\ω}\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}{Q\left(\mathrm{\τ}\right)}_{n+\mathrm{1,3}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,4}}R{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,4}}& {\mathrm{\ω}\left(\mathrm{\τ}\right)}_{n+\mathrm{1,5}}S{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,5}}& \mathrm{\ω}{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,6}}\frac{1}{C{\left(\mathrm{\τ}\right)}_{n+\mathrm{1,6}}}\end{array}\right]---\left(10\right).$

6. the wireless network switching method that merges based on terminal and the network information according to claim 1 and 2 is characterized in that, describedly carries out the network hand-off process according to described network quality information, is specially:

Send the network handoff request to network side, when network side allows network to switch according to this network Handover Request Acknowledge, receive the network switching command that described network side sends, and carry out the network handover operation according to described network switching command.

7. the wireless network switching method based on terminal and network information fusion according to claim 1 and 2 is characterized in that, before the network parameter information of described reception Web broadcast, also comprises:

Send handoff request to network side, obtain the information of described network side according to the candidate network of described handoff request selection.

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