CN103945477A - Heterogeneous network selection system and method based on business type weight differentiation - Google Patents

Abstract

The invention discloses a heterogeneous network selection system and method based on business type weight differentiation, relates to the field of heterogeneous network selection, and aims to solve the problems that the lowest QoS (quality of service) threshold values of business requirements are not different, and network utilization rate is reduced and the quality of service is weakened as loads between networks are unbalanced. The heterogeneous network selection system comprises a network discovery and static information collection module (1), a candidate network QoS parameter value acquisition module (2) and a candidate network evaluation and selection module (3). The method particularly includes the steps: firstly, finding adjacent RANs (radio access networks), collecting static information of the adjacent RANs and storing the static information in a database by an MIHF (media independent handover function); secondly, bringing the detected adjacent RANs positioned on a communication threshold value into a candidate network rank, and collecting QoS parameter values of the candidate network rank; thirdly, selecting a candidate network with the largest ideal approximation value to serve as a target network.

Description

A kind of heterogeneous network selective system and method for distinguishing based on type of service weights

Technical field

The present invention relates to a kind of heterogeneous network selective system and method for distinguishing based on type of service weights.

Background technology

Along with the globalization of telecommunication industry and the fast development of Internet, communication system emerges in an endless stream, form various separate network, such as cell mobile communication systems (2G, 3G), short distance connecting system (WLAN, bluetooth, ultra broadband UWB system), WiMAX, satellite communication, broadcast system (as DAB, DVB), stratosphere etc.These network of network general layouts are separate, and every kind of network has its advantage separately, as the network communicating system of 2G and 3G be take voice communication as main, and supported data communication; And WLAN, the networks such as WiMAX are to take data service as main.Atrophy gradually along with voice communication service, the development of Wireless Data Transmission business, user's the multifarious business demand of personalization constantly strengthens, and the network schemer of this single network list application exposes its intrinsic drawback aspect sharing at network: different communication protocol causes wireless network to be shared realizing difficulty, be unfavorable for data service sound cross network transmission.

For in the investment of protection legacy network; the mobile communication subscriber that holds surge; and provide high-quality mobile multi-media service service; overlapped but dissimilar various cordless communication networks must be fused together collaborative work, formation is unified, the heterogeneous wireless networks system based on IP agreement.Mobile terminal is also by the multimode intelligent terminal future development towards integrating multiple access technology, intelligent selection access network.

Utilizing internetwork complementary characteristic, realize the seamless fusion of various wireless networks, for user provides personalized service, is the inevitable direction of future communications network Development.Under heterogeneous wireless networks environment, the most effective, the most suitable access network of mobile terminal How to choose to meet the service quality (QualityofService, QoS) of business, is study hotspot in recent years always.

The scheme of heterogeneous network converged, for user, user can select to get involved in most suitable network according to factors such as business demand and network states at any time, thereby meets own flexible and changeable individual business demand.And for network operation, adopt heterogeneous network converged scheme, operator does not need a large amount of fund inputs, again lay and set up the network facilities, do not need the very long construction period, only need on the basis of own original system structure, add a small amount of network implementation and corresponding management function both can meet the ever-increasing communication service demand of user, and improve the market competitiveness of system.

Conventional method be take and met QoS and carry out network while selecting as target, the weighted value of each qos parameter of mean allocation often, to cause the no matter minimum QoS threshold value of which kind of business demand there is no difference, so there is no specific network preference when terminal is initiated network selection, but all tend to select the network of QoS optimum to carry out service bearer, to cause all terminals all to access optimal network, thereby cause network congestion, and all the other networks are idle, cause load imbalance between all-network, optimal network is congested simultaneously will reduce network utilization, thereby weaken service quality.

Owing to not considering the difference of QoS demand between different kinds of business, so which kind of business no matter is always selected the network insertion of QoS optimum, thus cannot be rationally, the load of each candidate network of balance effectively.

Summary of the invention

The object of the invention is does not have difference in order to solve the minimum QoS threshold value of business demand, and between network, load imbalance reduces network utilization, weakens the problem of service quality and a kind of heterogeneous network selective system and method for distinguishing based on type of service weights of proposing.

Above-mentioned goal of the invention is achieved through the following technical solutions:

A kind of heterogeneous network selective system of distinguishing based on type of service weights specifically comprises: Network finding and static information collection module, candidate network qos parameter numerical value acquisition module and candidate network evaluation and selection module;

Described Network finding and static information collection module are found adjacent R AN by MIHF and are collected the static information of adjacent R AN;

Described candidate network qos parameter numerical value acquisition module successively Sampling network is found and static information collection module is collected the RSS of adjacent static information RAN, include the RSS of the adjacent static information RAN after detecting in candidate network ranks, by MIHF, collect the qos parameter value of current candidate network ranks;

Described candidate network evaluation and select module to utilize the maximum candidate network of ideal values of approaching of qos parameter value calculated candidate network of the current candidate network ranks that candidate network qos parameter numerical value acquisition module obtains as objective network.

A kind of heterogeneous network system of selection of distinguishing based on type of service weights is specifically carried out according to following steps:

Step 1, utilize the configuration of the whole network in Network finding and static information collection module MIHF when mobile terminal decision-making is communicated by letter in for current wireless access network RAN, find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base;

Step 2, the wireless static information signal intensity RSS that utilizes candidate network qos parameter numerical value acquisition module that mobile terminal is detected to current RAN drop to while needing switching threshold, mobile terminal is initiated handover request to objective network, be switched to the wireless static information of current RAN in local data base, detect successively the RSS of the wireless static information of RAN, include the adjacent R AN detecting on communication threshold value in candidate network ranks, by MIHF, collect the qos parameter value of candidate network ranks;

Step 3, by the main business classification of current mobile terminal decision-making, according to the qos parameter value of candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network; Wherein, four kinds of types of service comprise Streaming Media class, interactive class, background class and conversation class; Completed a kind of heterogeneous network system of selection of distinguishing based on type of service weights.

Invention effect

The present invention utilizes analytic hierarchy process (AHP) (AnalyticHierarchyProcess, AHP) the qos parameter weights of every class business are set, then with ideal value approximation sort algorithm (TechniqueforOrderPreferencebySimilaritytoIdeal Solution, TOPSIS) be basis, the differentiation Weights-selected Algorithm that has designed a kind of service-oriented classification carries out heterogeneous network selection.Because traditional network selecting method carries out the setting of QoS of survice parameter mainly with average weights method, QoS demand difference between not consideration business, concentrate and select QoS optimal network to carry out service bearer, thereby cannot be rationally, the load of the various candidate network of balance effectively, thereby cause network congestion and the wasting of resources.And the present invention utilizes analytic hierarchy process (AHP) reasonable analysis, is provided with the qos parameter value weight of four class business of 3GPP definition, according to the QoS demand of different service types, select different networks to carry out service bearer, the advantages characteristic of comprehensive utilization different access networks, realize the comprehensive utilization of whole network, reached the effect of resource optimization.

The present invention has overcome traditional average weights method conversation class and stream class service has been accessed to UMTS network in a large number, and by exchange class and background class traffic more multiple access wlan network and the UMTS network long-term blockage that causes, reduces the problem of the success rate of terminal access UMTS.The present invention can realize stream class is switched in the network of this relative High Data Rate of WiMAX, low error rate more with exchange class business, when ensureing QoS of survice, difference for different classes of business in QoS demand, the four class business to 3GPP definition have been carried out the analysis of qos parameter relative importance, set the qos parameter weights of every class business, choose reasonable objective network is the load of a plurality of candidate network of active balance simultaneously.Effectively utilize Internet resources aspect to embody competitiveness.

The present invention has improved average traffic classification weights in conventional method and has carried out the unbalanced problem of offered load that network selection causes, for 4 kinds of classs of service that define in 3GPP, in conjunction with AHP algorithm, carried out the classification of QoS weights, for different classs of service, calculate its required QoS weight vector, carry out again network reasonable access network while selecting, and unlike all concentrating access optimal network in conventional method, but according to type of service by business reasonable layout in a plurality of networks, rationally effectively utilize Internet resources, balance network load, as Fig. 4 and Fig. 5, can illustrate that the network selection access result in the present invention is more rationally balanced, three networks all effectively carry different service types, and in conventional method, concentrate access fast network 1 and cause 3 free time of network.

Accompanying drawing explanation

Fig. 1 is a kind of heterogeneous network selective system functional block diagram of distinguishing based on type of service weights that embodiment two proposes; Wherein, (1) is Network finding and static information collection module, and (2) are candidate network qos parameter numerical value acquisition module, and (3) are candidate network evaluation and select module;

Fig. 2 is a kind of heterogeneous network system of selection flow chart of distinguishing based on type of service weights that embodiment three proposes;

Fig. 3 is that the maximum candidate network of selection ideal value of approaching of embodiment four propositions is as objective network flow chart;

Fig. 4 is the average QoS weights net of justice network selection result figure that embodiment proposes; Wherein, abscissa is that four kinds of types of service 1 are that conversation class, 2 is that Streaming Media class, 3 is that interactive class and 4 is background class; Ordinate is for selecting the probability distribution of certain network; N1 is (UMTS) candidate network, and N2 is (WiMAX) candidate network, and N3 is (WLAN) candidate network;

Fig. 5 is the differentiated service QoS weights net of justice network selection result schematic diagram that embodiment proposes; Wherein, abscissa is that four kinds of types of service 1 are that conversation class, 2 is that Streaming Media class, 3 is that interactive class and 4 is background class; Ordinate is for selecting the probability distribution of certain network; N1 is (UMTS) candidate network, and N2 is (WiMAX) candidate network, and N3 is (WLAN) candidate network;

Fig. 6 is that the present invention that embodiment proposes selects number of times Statistical Comparison figure with average Weights-selected Algorithm to network; Wherein, abscissa N1 is (UMTS) candidate network, and N2 is (WiMAX) candidate network, and N3 is (WLAN) candidate network; Ordinate is the selected number of times of network.

Embodiment

Embodiment one: a kind of heterogeneous network selective system of distinguishing based on type of service weights of present embodiment specifically comprises:

Network finding and static information collection module 1, candidate network qos parameter numerical value acquisition module 2 and candidate network evaluation and selection module 3;

Described Network finding and static information collection module 1 are found adjacent R AN by MIHF and are collected the static information of adjacent R AN;

Described candidate network qos parameter numerical value acquisition module 2 successively Sampling network is found and static information collection module 1 is collected the RSS of adjacent static information RAN, include the RSS of the adjacent static information RAN after detecting in candidate network ranks, by MIHF, collect the qos parameter value of current candidate network ranks;

Described candidate network evaluation and select module to utilize the maximum candidate network of ideal values of approaching of qos parameter value calculated candidate network of the current candidate network ranks that candidate network qos parameter numerical value acquisition module 2 obtains as objective network.

Present embodiment effect:

Present embodiment is utilized analytic hierarchy process (AHP) (AnalyticHierarchyProcess, AHP) the qos parameter weights of every class business are set, then with ideal value approximation sort algorithm (TechniqueforOrderPreferencebySimilarityto IdealSolution, TOPSIS) be basis, the differentiation Weights-selected Algorithm that has designed a kind of service-oriented classification carries out heterogeneous network selection.Because traditional network selecting method carries out the setting of QoS of survice parameter mainly with average weights method, QoS demand difference between not consideration business, concentrate and select QoS optimal network to carry out service bearer, thereby cannot be rationally, the load of the various candidate network of balance effectively, thereby cause network congestion and the wasting of resources.And present embodiment is utilized analytic hierarchy process (AHP) reasonable analysis, is provided with the qos parameter value weight of four class business of 3GPP definition, according to the QoS demand of different service types, select different networks to carry out service bearer, the advantages characteristic of comprehensive utilization different access networks, realize the comprehensive utilization of whole network, reached the effect of resource optimization.

Present embodiment has overcome traditional average weights method conversation class and stream class service has been accessed to UMTS network in a large number, and by exchange class and background class traffic more multiple access wlan network and the UMTS network long-term blockage that causes, reduce the problem of the success rate of terminal access UMTS.Present embodiment can realize stream class is switched in the network of this relative High Data Rate of WiMAX, low error rate more with exchange class business, when ensureing QoS of survice, difference for different classes of business in QoS demand, the four class business to 3GPP definition have been carried out the analysis of qos parameter relative importance, set the qos parameter weights of every class business, choose reasonable objective network is the load of a plurality of candidate network of active balance simultaneously.Effectively utilize Internet resources aspect to embody competitiveness.

Present embodiment has been improved average traffic classification weights in conventional method and has been carried out the unbalanced problem of offered load that network selection causes, for 4 kinds of classs of service that define in 3GPP, in conjunction with AHP algorithm, carried out the classification of QoS weights, for different classs of service, calculate its required QoS weight vector, carry out again network reasonable access network while selecting, and unlike all concentrating access optimal network in conventional method, but according to type of service by business reasonable layout in a plurality of networks, rationally effectively utilize Internet resources, balance network load, as Fig. 4 and Fig. 5, can illustrate that the network selection access result in present embodiment is more rationally balanced, three networks all effectively carry different service types, and in conventional method, concentrate access fast network 1 and cause 3 free time of network.

Embodiment two: present embodiment is different from embodiment one: described Network finding and static information collection module 1 are current wireless access network (RadioAccess Network for the MIHF of the whole network configuration in mobile terminal decision-making, while communicating by letter RAN), find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base; Wherein, the switching mode of mobile terminal decision-making refers to that whole network is selected and handover decisions is initiated by mobile terminal and determines final objective network, is the leading behavior of terminal, is not to be determined by network;

Signal strength signal intensity (the RadioSignal Strength that described candidate network qos parameter numerical value acquisition module 2 receives at current wireless access network terminal antenna for the wireless static information signal intensity of current RAN detected when mobile terminal, RSS) drop to while needing switching threshold, according to the static information of adjacent R AN in local data base, detect successively the RSS of adjacent R AN, include the adjacent R AN on communication threshold value in candidate network ranks, then by MIHF, collect the qos parameter value of current candidate network ranks;

Described candidate network evaluation and selection module 3 are by the main business classification of current mobile terminal decision-making, according to the qos parameter value of current candidate network ranks, utilize AHP algorithm to calculate qos parameter weight vector, utilize evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, the judgement matrix that utilizes the qos parameter value of current candidate network ranks to be configured to after weighting is selected the maximum candidate network of the desirable value of approaching, using select the maximum candidate network of the ideal value of approaching as objective network as Fig. 1.Other step and parameter are identical with embodiment one.

Embodiment three: present embodiment is different from embodiment one or two: a kind of heterogeneous network system of selection of distinguishing based on type of service weights comprises the steps:

Step 1, the MIHF that utilizes the whole network in Network finding and static information collection module 1 to configure are current wireless access network (RadioAccessNetwork in mobile terminal decision-making, while communicating by letter RAN), find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base; Wherein MIHF has configured the media independent handoff functionality (MediaIndependentHandover Function, MIHF) of IEEE802.21 for supposing the whole network;

Step 2, utilize candidate network qos parameter numerical value acquisition module mobile terminal to be detected to the wireless static information signal intensity (RadioSignalStrength of current RAN, RSS) drop to while needing switching threshold, mobile terminal is initiated handover request to objective network, be switched to the wireless static information of current RAN in local data base, detect successively the RSS of the wireless static information of RAN, include the adjacent R AN detecting on communication threshold value in candidate network ranks, by MIHF, collect the qos parameter value of current candidate network ranks;

Step 3, by the main business classification of current mobile terminal decision-making, according to the qos parameter value of candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network; Wherein, AHP algorithm calculates the QoS weight vector of four kinds of types of service, and the QoS weight vector of four kinds of types of service that calculate is kept in database; Four kinds of types of service comprise Streaming Media class, interactive class, background class and conversation class; Completed a kind of heterogeneous network system of selection of distinguishing based on type of service weights as Fig. 2.Other step and parameter are identical with embodiment one or two.

Embodiment four: present embodiment is different from one of embodiment one to three: in step 3 by the main business classification of current mobile terminal decision-making, according to the qos parameter value of candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network; Wherein, AHP algorithm calculates the QoS weight vector of four kinds of types of service, and the QoS weight vector of four kinds of types of service that calculate is existed in database as follows in Fig. 3 detailed process:

(1) suppose that the definite candidate network number of mobile terminal is m, utilize the candidate network qos parameter value structure judgement matrix X' obtaining;

Wherein, in formula (1), each element is the raw value of qos parameter in candidate network, i candidate network N _iall qos parameter values can represent d by the row vector of matrix X' _i' dj _i' plr _i' gb _i' mb _i' judgement matrix X' normalization is obtained to the judgement matrix X after normalization;

D: candidate network time delay, DJ: candidate network delay variation, PLR: candidate network packet loss, GB: candidate network ensures bit rate, MB: candidate network Maximum Bit Rate, i is i network, 1≤i≤m,

$r_{\mathrm{ij}}=x_{\mathrm{ij}}/\sqrt{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{x}_{\mathrm{ij}}^2};j=D,\mathrm{DJ},\mathrm{PLR},\mathrm{CB},\mathrm{MB}---\left(3\right)$

R _iji the corresponding corresponding qos parameter value of network, wherein, m is candidate network number, j is that candidate network parameter is X matrix column number; x _ijelement for the capable j row of X matrix i, is j qos parameter value normalized value of i network;

2) utilize formula (3) to carry out standardization to the element in judgement matrix X, obtain matrix R; The main business classification current according to mobile terminal selected the weight vector w={w of the qos parameter of corresponding service classification in four kinds of types of service _d, w _dj, w _plr, w _gb, w _mb, the judgement matrix V=wR calculating after weighting is shown below:

$\begin{array}{c}V=\left[\begin{array}{ccccc}{v}_{1d}& v_{1\mathrm{dj}}& v_{1\mathrm{plr}}& v_{1\mathrm{gb}}& v_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{id}}& v_{\mathrm{idj}}& v_{\mathrm{iplr}}& v_{\mathrm{igb}}& v_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{md}}& v_{\mathrm{mdj}}& v_{\mathrm{mplr}}& v_{\mathrm{mgb}}& v_{\mathrm{mmb}}\end{array}\right]\\ =\left[\begin{array}{ccccc}{w}_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{1\mathrm{plr}}{r}_{1\mathrm{plr}}& w_{1\mathrm{gb}}{r}_{1\mathrm{gb}}& w_{1\mathrm{mb}}{r}_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{\mathrm{iplr}}{r}_{\mathrm{iplr}}& w_{\mathrm{igb}}{r}_{\mathrm{igb}}& w_{\mathrm{imb}}{r}_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{\mathrm{mdj}}{r}_{\mathrm{mdj}}& w_{\mathrm{mplr}}{r}_{\mathrm{mplr}}& w_{\mathrm{mgb}}{r}_{\mathrm{mgb}}& w_{\mathrm{mmb}}{r}_{\mathrm{mmb}}\end{array}\right]\end{array}---\left(4\right)$

(3) obtain after matrix V, according to formula (5), (6), calculate positive desirable option A respectively ⁺with negative ideal scheme A ^-;

$\{v_d^{+},v_{\mathrm{dj}}^{+},v_{\mathrm{plr}}^{+},v_{\mathrm{gb}}^{+},v_{\mathrm{mb}}^{+}\}---\left(5\right)$

$A^{-}=\left\{\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}\right|(j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb})\}=\{v_d^{-},v_{\mathrm{dj}}^{-},v_{\mathrm{plr}}^{-},v_{\mathrm{gb}}^{-},v_{\mathrm{mb}}^{-}\}---\left(6\right)$

Wherein, for the maximum of different each elements of candidate network QoS in the judgement matrix V after weighting, for V is the minimum value of different each elements of candidate network QoS in the judgement matrix after weighting;

(4) according to formula (7) and formula (8), calculate again the distance of each candidate network and positive ideal scheme and with the distance of negative ideal scheme

${S_i}^{+}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{+}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2}...,m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(7\right)$

${S_i}^{-}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{-}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2},...m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(8\right)$

Wherein, v _ijit is the judgement matrix after the weighting of j candidate network parameter value corresponding to i candidate network; for the maximum of j candidate network param elements in the judgement matrix after weighting, minimum value for j candidate network param elements in the judgement matrix after weighting;

(5) finally utilize formula (8) to draw candidate network N _iwith respect to positive desirable option A ⁺degree of closeness

$C_i^{*}=S_i^{-}/(S_i^{+}+S_i^{-});0\≤C_i^{*}\≤1,i=\mathrm{1,2},...m---\left(9\right)$

Each candidate network of comparison value, selects be worth maximum candidate network as objective network.Other step and parameter are identical with one of embodiment one to three.

Embodiment five: present embodiment is different from one of embodiment one to four: in formula (1), each element is the raw value of certain qos parameter in network of relation, i network N _ithe row vector { d of matrix X' for all qos parameter values _i', dj _i', plr _i', gb _i', mb _i' represent; Because qos parameter is divided into the type of being the bigger the better (as GB and MB) and the smaller the better type (as D, DJ and PLR), for unified variation tendency, the value of the smaller the better type GB and MB parameter is asked to reciprocal, obtain adjudicating matrix X-type (2), wherein d _i=1d _i', dj _i=1/dj _i', plr _i=1/plr _i', gb=gb _i', mb=mb _i'.Other step and parameter are identical with one of embodiment one to four.

Embodiment mono-:

A kind of heterogeneous network system of selection of distinguishing based on type of service weights of the present embodiment, specifically according to following steps, prepare:

Step 1, the MIHF that utilizes the whole network in Network finding and static information collection module (1) to configure are current wireless access network (RadioAccessNetwork in mobile terminal decision-making, while communicating by letter RAN), find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base; Wherein MIHF has configured the media independent handoff functionality (MediaIndependent HandoverFunction, MIHF) of IEEE802.21 for supposing the whole network;

Step 2, utilize candidate network qos parameter numerical value acquisition module mobile terminal to be detected to the wireless static information signal intensity (RadioSignalStrength of current RAN, RSS) drop to while needing switching threshold, mobile terminal is initiated handover request to objective network, be switched to the wireless static information of current RAN in local data base, detect successively the RSS of the wireless static information of RAN, include the adjacent R AN detecting on communication threshold value in candidate network ranks, by MIHF, collect the qos parameter value of current candidate network ranks;

Step 3, by the main business classification of current mobile terminal decision-making, according to the qos parameter value of current candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network; Wherein, AHP algorithm calculates the QoS weight vector of four kinds of types of service, and the QoS weight vector of four kinds of types of service that calculate is existed in database; Four kinds of types of service comprise stream class, interactive class, background class and conversation class;

(1) suppose that the definite candidate network number of mobile terminal is m, utilize the candidate network qos parameter value structure judgement matrix X' obtaining;

Wherein, in formula (1), each element is the raw value of qos parameter in candidate network, i candidate network N _iall qos parameter values can represent d by the row vector of matrix X' _i' dj _i' plr _i' gb _i' mb _i' judgement matrix X' normalization is obtained to the judgement matrix X after normalization

D: candidate network time delay, DJ: candidate network delay variation, PLR: candidate network packet loss, GB: candidate network ensures bit rate, MB: candidate network Maximum Bit Rate, i is i network, 1≤i≤m,

$r_{\mathrm{ij}}=x_{\mathrm{ij}}/\sqrt{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{x}_{\mathrm{ij}}^2};j=D,\mathrm{DJ},\mathrm{PLR},\mathrm{CB},\mathrm{MB}---\left(3\right)$

R _iji the corresponding corresponding qos parameter value of network, wherein, m is candidate network number, j is candidate network parameter; x _ijfor the element of the capable j row of X matrix i, Chinese implication is j qos parameter value normalized value of i network;

2) utilizing formula (3) to carry out each element in standardization formula (1) to the element in judgement matrix X is the raw value of certain qos parameter in network of relation, i network N _iall qos parameter values can be with the row vector { d of matrix X' _i', dj _i', plr _i', gb _i', mb _i' represent; Because qos parameter can be divided into the type of being the bigger the better (as GB and MB) and the smaller the better type (as D, DJ and PLR), for unified variation tendency, the value of the smaller the better shape parameter is asked to reciprocal, obtain adjudicating matrix X-type (2), wherein d _i=1/d _i', dj _i=1/dj _i', plr _i=1/plr _i', gb=gb _i', mb=mb _i'; Obtain matrix R; The main business classification current according to mobile terminal selected the weight vector w={w of the qos parameter of corresponding service classification in four kinds of types of service _d, w _dj, w _plr, w _gb, w _mb, the judgement matrix V=wR calculating after weighting is shown below:

$\begin{array}{c}V=\left[\begin{array}{ccccc}{v}_{1d}& v_{1\mathrm{dj}}& v_{1\mathrm{plr}}& v_{1\mathrm{gb}}& v_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{id}}& v_{\mathrm{idj}}& v_{\mathrm{iplr}}& v_{\mathrm{igb}}& v_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{md}}& v_{\mathrm{mdj}}& v_{\mathrm{mplr}}& v_{\mathrm{mgb}}& v_{\mathrm{mmb}}\end{array}\right]\\ =\left[\begin{array}{ccccc}{w}_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{1\mathrm{plr}}{r}_{1\mathrm{plr}}& w_{1\mathrm{gb}}{r}_{1\mathrm{gb}}& w_{1\mathrm{mb}}{r}_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{\mathrm{iplr}}{r}_{\mathrm{iplr}}& w_{\mathrm{igb}}{r}_{\mathrm{igb}}& w_{\mathrm{imb}}{r}_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{\mathrm{mdj}}{r}_{\mathrm{mdj}}& w_{\mathrm{mplr}}{r}_{\mathrm{mplr}}& w_{\mathrm{mgb}}{r}_{\mathrm{mgb}}& w_{\mathrm{mmb}}{r}_{\mathrm{mmb}}\end{array}\right]\end{array}---\left(4\right)$

(3) obtain after matrix V, according to formula (5), (6), calculate positive desirable option A respectively ⁺with negative ideal scheme A ^-;

$\{v_d^{+},v_{\mathrm{dj}}^{+},v_{\mathrm{plr}}^{+},v_{\mathrm{gb}}^{+},v_{\mathrm{mb}}^{+}\}---\left(5\right)$

$A^{-}=\left\{\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}\right|(j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb})\}=\{v_d^{-},v_{\mathrm{dj}}^{-},v_{\mathrm{plr}}^{-},v_{\mathrm{gb}}^{-},v_{\mathrm{mb}}^{-}\}---\left(6\right)$

Wherein, for the maximum of different each elements of candidate network QoS in the judgement matrix V after weighting, for V is the minimum value of different each elements of candidate network QoS in the judgement matrix after weighting;

(4) according to formula (7) and formula (8), calculate again the distance of each candidate network and positive ideal scheme and with the distance of negative ideal scheme

${S_i}^{+}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{+}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2}...,m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(7\right)$

${S_i}^{-}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{-}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2},...m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(8\right)$

Wherein, v _ijit is the judgement matrix after the weighting of j network parameter values corresponding to i candidate network; for the maximum of j candidate network param elements in the judgement matrix after weighting, minimum value for j candidate network param elements in the judgement matrix after weighting;

(5) finally utilize formula (8) to draw candidate network N _iwith respect to positive desirable option A ⁺degree of closeness

$C_i^{*}=S_i^{-}/(S_i^{+}+S_i^{-});0\≤C_i^{*}\≤1,i=\mathrm{1,2},...m---\left(9\right)$

Each candidate network of comparison value, selects be worth maximum candidate network as objective network;

Utilize Matlab under average Weights-selected Algorithm and step analysis algorithm, to carry out network to different service types and select emulation, three candidate network N1 (UMTS) are set, N2 (WiMAX), N3 (WLAN), suppose that RSS that mobile terminal detected current network is lower than QoS of survice demand threshold, be about to switch, the current main business type of mobile terminal is wherein a kind of in the Four types of 3GPP definition, three candidate network Nl detected, N2 and N3, MIHF by IEEE802.21 obtains three qos parameter values that candidate network is current, utilize respectively the QoS weights method of utilizing chromatographic analysis algorithm differentiated service type proposing in the average Weights-selected Algorithm TOAWA weights of every class QoS of survice parameter (equate) of service-oriented classification and the present invention, the objective network of selecting under current candidate network QoS condition, record selection result, switching frequency is l0 ten thousand times, and wherein every kind of type of service is each 2.5 ten thousand times, every kind of type of service one after the other successively,

As shown in Figure 4, the average all kinds of QoS of survice weights of conventional method, will cause a large amount of access network N1 of business and N2, and cause 3 free time of network N; As shown in Figure 5, differentiated service QoS weights in the present invention, are the most suitable network insertion of each class service selection, thereby the every class business of balanced distribution is effectively utilized Internet resources;

The objective network percentage situation of every class service selection of conventional method and this method respectively as shown in Figure 4 and Figure 5; Average Weights-selected Algorithm meets people N1 (UMTS) more by conversation class and stream class service, so probably causes N1 long-term blockage, reduces the handover success rate that terminal meets people N1; In addition, allow exchange class and background class traffic meet more people N3 (WLAN), probably increase the collision probability of business datum, reduce data transmission success; And network selection algorithm based on analytic hierarchy process (AHP) in this paper is switched to Streaming Media class and exchange class business the network of this relative High Data Rate of N2 (WiMAX), low error rate more, when ensureing QoS of survice, reasonably select target network is as Fig. 6; , compare with average Weights-selected Algorithm, the latter ensureing under the prerequisite of QoS of survice demand meanwhile, effectively balance the load of three candidate network.

Claims (5)

1. a heterogeneous network selective system of distinguishing based on type of service weights, is characterized in that a kind of heterogeneous network selective system of distinguishing based on type of service weights specifically comprises:

Network finding and static information collection module (1), candidate network qos parameter numerical value acquisition module (2) and candidate network evaluation and selection module (3);

Described Network finding and static information collection module (1) are found adjacent R AN by MIHF and are collected the static information of adjacent R AN;

Described candidate network qos parameter numerical value acquisition module (2) successively Sampling network is found and static information collection module (1) is collected the RSS of adjacent static information RAN, include the RSS of the adjacent static information RAN after detecting in candidate network ranks, by MIHF, collect the qos parameter value of current candidate network ranks;

Described candidate network evaluation and select module (3) to utilize the maximum candidate network of ideal values of approaching of qos parameter value calculated candidate network of the current candidate network ranks that candidate network qos parameter numerical value acquisition module (2) obtains as objective network.

2. a kind of heterogeneous network selective system of distinguishing based on type of service weights according to claim 1, is characterized in that:

Described Network finding and static information collection module (1) are that current wireless access network RAN is when communicate by letter for the MIHF of the whole network configuration in mobile terminal decision-making, find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base;

When described candidate network qos parameter numerical value acquisition module (2) drops to switching threshold for the wireless static information signal intensity RSS of current RAN detected when mobile terminal, according to the static information of adjacent R AN in local data base, detect successively the RSS of adjacent R AN, include the adjacent R AN on communication threshold value in candidate network ranks, then by MIHF, collect the qos parameter value of current candidate network ranks;

Described candidate network evaluation and selection module (3) are by the main business classification of current mobile terminal decision-making, according to the qos parameter value of current candidate network ranks, utilize AHP algorithm to calculate qos parameter weight vector, utilize evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network.

3. a heterogeneous network system of selection of distinguishing based on type of service weights, is characterized in that: a kind of heterogeneous network system of selection of distinguishing based on type of service weights comprises the steps:

Step 1, the MIHF that utilizes the configuration of the whole network in Network finding and static information collection module (1) are while communicating by letter in current wireless access network RAN in mobile terminal decision-making, find adjacent R AN and collect the static information of adjacent R AN, and the static information of collecting adjacent R AN is stored in local data base;

Step 2, the wireless static information signal intensity RSS that utilizes candidate network qos parameter numerical value acquisition module that mobile terminal is detected to current RAN drop to while needing switching threshold, mobile terminal is initiated handover request to objective network, be switched to the wireless static information of current RAN in local data base, detect successively the RSS of the wireless static information of RAN, include the adjacent R AN detecting on communication threshold value in candidate network ranks, by MIHF, collect the qos parameter value of candidate network ranks;

Step 3, by the main business classification of current mobile terminal decision-making, according to the qos parameter value of candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, will select the maximum candidate network of the desirable value of approaching as objective network; Wherein, four kinds of types of service comprise Streaming Media class, interactive class, background class and conversation class; Completed a kind of heterogeneous network system of selection of distinguishing based on type of service weights.

4. a kind of heterogeneous network system of selection of distinguishing based on type of service weights according to claim 3, it is characterized in that: in step 3 by the main business classification of current mobile terminal decision-making, according to the qos parameter value of candidate network ranks, utilize AHP algorithm calculating qos parameter weight vector and evaluation algorithms to calculate ideal value of approaching that qos parameter weight vector obtains candidate network, utilize the qos parameter value of current candidate network ranks to be configured to the maximum candidate network of the desirable value of approaching of judgement matrix selection after weighting, to select the maximum candidate network of the desirable value of approaching as objective network detailed process to be:

(1) suppose that the definite candidate network number of mobile terminal is m, utilize the candidate network qos parameter value structure judgement matrix X' obtaining;

Wherein, i candidate network N _iall qos parameter values by the row vector of matrix X', represent d _i ^'dj _i ^'plr _i ^'gb _i ^'mb _i ^'judgement matrix X' normalization is obtained to the judgement matrix X after normalization;

D: candidate network time delay, DJ: candidate network delay variation, PLR: candidate network packet loss, GB: candidate network ensures bit rate, MB: candidate network Maximum Bit Rate, i: i network, 1≤i≤m;

$r_{\mathrm{ij}}=x_{\mathrm{ij}}/\sqrt{\underset{i=1}{\overset{m}{\mathrm{\Σ}}}{x}_{\mathrm{ij}}^2};j=D,\mathrm{DJ},\mathrm{PLR},\mathrm{CB},\mathrm{MB}---\left(3\right)$

R _iji the corresponding corresponding qos parameter value of network, wherein, m is candidate network number, j is that candidate network parameter is X matrix column number; x _ijelement for the capable j row of X matrix i, is j qos parameter value normalized value of i network;

2) utilize formula (3) to carry out standardization to the element in judgement matrix X, obtain matrix R; The main business classification current according to mobile terminal selected the weight vector w={w of the qos parameter of corresponding service classification in four kinds of types of service _d, w _dj, w _plr, w _gb, w _mb, the judgement matrix V=wR calculating after weighting is shown below:

$\begin{array}{c}V=\left[\begin{array}{ccccc}{v}_{1d}& v_{1\mathrm{dj}}& v_{1\mathrm{plr}}& v_{1\mathrm{gb}}& v_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{id}}& v_{\mathrm{idj}}& v_{\mathrm{iplr}}& v_{\mathrm{igb}}& v_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ v_{\mathrm{md}}& v_{\mathrm{mdj}}& v_{\mathrm{mplr}}& v_{\mathrm{mgb}}& v_{\mathrm{mmb}}\end{array}\right]\\ =\left[\begin{array}{ccccc}{w}_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{1\mathrm{plr}}{r}_{1\mathrm{plr}}& w_{1\mathrm{gb}}{r}_{1\mathrm{gb}}& w_{1\mathrm{mb}}{r}_{1\mathrm{mb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{1\mathrm{dj}}{r}_{1\mathrm{dj}}& w_{\mathrm{iplr}}{r}_{\mathrm{iplr}}& w_{\mathrm{igb}}{r}_{\mathrm{igb}}& w_{\mathrm{imb}}{r}_{\mathrm{imb}}\\ .& .& .& .& .\\ .& .& .& .& .\\ .& .& .& .& .\\ w_{1d}{r}_{1d}& w_{\mathrm{mdj}}{r}_{\mathrm{mdj}}& w_{\mathrm{mplr}}{r}_{\mathrm{mplr}}& w_{\mathrm{mgb}}{r}_{\mathrm{mgb}}& w_{\mathrm{mmb}}{r}_{\mathrm{mmb}}\end{array}\right]\end{array}---\left(4\right)$

(3) obtain after matrix V, according to formula (5), (6), calculate positive desirable option A respectively ⁺with negative ideal scheme A ^-;

$\{v_d^{+},v_{\mathrm{dj}}^{+},v_{\mathrm{plr}}^{+},v_{\mathrm{gb}}^{+},v_{\mathrm{mb}}^{+}\}---\left(5\right)$

$A^{-}=\left\{\underset{1\≤i\≤m}{\min }{v}_{\mathrm{ij}}\right|(j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb})\}=\{v_d^{-},v_{\mathrm{dj}}^{-},v_{\mathrm{plr}}^{-},v_{\mathrm{gb}}^{-},v_{\mathrm{mb}}^{-}\}---\left(6\right)$

Wherein, for the maximum of different each elements of candidate network QoS in the judgement matrix V after weighting, for V is the minimum value of different each elements of candidate network QoS in the judgement matrix after weighting;

(4) according to formula (7) and formula (8), calculate again the distance S of each candidate network and positive ideal scheme _i ⁺and with the distance S of negative ideal scheme _i ^-;

${S_i}^{+}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{+}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2}...,m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(7\right)$

${S_i}^{-}=\sqrt{\underset{j}{\mathrm{\Σ}}{(v_j^{-}-v_{\mathrm{ij}})}^2};i=\mathrm{1,2},...m,j=d,\mathrm{dj},\mathrm{plr},\mathrm{gb},\mathrm{mb}---\left(8\right)$

Wherein, v _ijit is the judgement matrix after the weighting of j candidate network parameter value corresponding to i candidate network; for the maximum of j candidate network param elements in the judgement matrix after weighting, minimum value for j candidate network param elements in the judgement matrix after weighting;

(5) finally utilize formula (8) to draw candidate network N _iwith respect to positive desirable option A ⁺degree of closeness

$C_i^{*}=S_i^{-}/(S_i^{+}+S_i^{-});0\≤C_i^{*}\≤1,i=\mathrm{1,2},...m---\left(9\right)$

Select be worth maximum candidate network as objective network.

5. a kind of heterogeneous network system of selection of distinguishing based on type of service weights according to claim 4, is characterized in that: the element in judgement matrix X is carried out to standardized process is:

In formula (1), each element is the raw value of certain qos parameter in network of relation, i network N _ithe row vector { d of matrix X' for all qos parameter values _i', dj _i', plr _i', gb _i', mb _i' represent; The value of GB and MB parameter is asked to reciprocal, obtain adjudicating matrix X-type (2), wherein d _i=1/d _i', dj _i=1/dj _i', plr _i=1/plr _i', gb=gb _i', mb=mb _i'.