CN101198128A - A kind of multi-mode device and its service flow switching method - Google Patents

Abstract

The invention relates to the technical field of network communication, and discloses a multi-mode device and a service flow switching method thereof. The present invention aims at the situation of multi-service flow session transmission on a multi-mode device with multiple interfaces active at the same time, comprehensively considering the network environment parameters, the status of the device itself, the service quality requirements of the service flow, and the user's preferences, according to different switching scenarios Different decision-making algorithms are used to select the optimal network interface for session transmission for each service flow. The invention solves the decision-making problem of multi-service flow switching on multi-interface equipment, and can establish a reasonable mapping relationship between multi-service flows and multiple interfaces.

Description

A kind of multi-mode device and its service flow switching method

technical field

The invention relates to the technical field of network communication, in particular to a multi-mode device and a service flow switching method thereof.

Background technique

The next-generation network will be an IP-based network that integrates multiple access methods. Among them, common communication networks include General Packet Radio Service (GPRS) network, Universal Mobile Telecommunications System (UMTS) network, and Wireless Local Area Network (WLAN). Since various wireless access technologies have their own advantages and disadvantages, multiple wireless technologies will complement each other and coexist in the long run. It is not desirable to carry too many terminal devices in order to be able to use multiple networks. The production of multi-mode devices (multi-mode terminals) adapts to the current technical characteristics and effectively meets the needs of users, so it has very broad application prospects.

Due to the differences in the coverage of various wireless networks and the complex and changeable environmental factors of the wireless network, when the multi-mode device moves in the wireless network, handoff will occur, that is, for some reason, it will be in a certain communication mode. The conversations in the network are transferred to other communication networks for further transmission, so as to ensure the continuity of the conversations. This will inevitably involve the selection of the handover target and the determination of the handover timing. A good handover decision algorithm can guide the device to switch to the optimal communication network at the right time, which is very important for ensuring the quality of business services. Therefore, , At present, people attach great importance to the research of handover decision-making algorithm.

The existing handoff methods can be divided into horizontal handoff and vertical handoff (K.Pahlavan, P.Krishnamurthy, A.Hatami, M.Ylianttila, J.P.Makela, R.Pichna, and J. Vallstron, "Handoff in hybrid mobile data network", IEEE Pers. Commun., vol.7, no.2, pp.34-37, Apr.2000). They essentially select an optimal network among candidate networks, and switch all sessions to this network, so the unit of switching decision is "device". The situation is very different when multi-mode device switching is required. Since multi-mode devices can transmit sessions on multiple interfaces at the same time, it is not necessary to switch all sessions to one during switching. Instead, it can be deployed and switched between multiple sessions and multiple interfaces according to certain principles. At this time, the switching decision algorithm is based on "single session". The most reasonable mapping between sessions and interfaces can be achieved as much as possible, which can achieve better network resource utilization and lower communication costs while ensuring the service quality of each session.

From the above analysis, it can be seen that it is not appropriate to use the existing handover decision algorithms such as horizontal handover and vertical handover directly in the multi-mode communication environment. Therefore, it is necessary to study handover decision algorithms for multi-service flow communication in multi-mode devices. .

The sorting solution approaching the ideal solution (Technique for Order Preference by Similarity to Ideal Solution, TOPSIS, Hwang CL, Yoon K. Multiple attribute decision making methods and applications, a state of the art survey[M]. New York: Springer-Verlag, 1981 ), can be combined with traditional mathematical methods or fuzzy logic to find out the optimal solution and negative optimal solution (worst solution) to achieve the goal in the presence of multiple influencing factors, and according to "the optimal solution should Therefore, it is especially suitable for solving the decision-making problem of selecting the final goal among multiple candidate goals based on multiple factors.

Contents of the invention

The purpose of the present invention is to provide a multi-mode device and a service flow switching method thereof. For the application scenario of multi-service flow switching, comprehensively consider various influencing factors related to the communication environment, and select factors that play a key role in switching decisions. Through the calculation and analysis of the switching decision module, a reasonable mapping relationship is established between the service flow and the interface, so as to select the appropriate communication network for each service flow, so as to make full use of various wireless access resources and the access capabilities of multi-mode devices .

In order to achieve the above object, the present invention provides a multi-mode device, including a wireless interface module, a handover identification module, a handover decision module, and a handover execution module;

The wireless interface module is used to connect the multi-mode device to a network for session service transmission;

The handover identification module is configured to judge which type of handover needs to be performed according to the services in the multi-mode device and the conditions of the network;

The handover decision-making module is used to adopt corresponding algorithms to make handover decisions according to the judgment result of the handover identification module and according to different types of service handovers required, so as to decide whether a certain service flow needs to be handed over and how to switch;

The switching execution module is configured to switch the corresponding service flow according to the switching decision made by the switching decision module.

Preferably, in the multi-mode device, the network to which the wireless interface module connects the multi-mode device includes a global mobile communication network, a general wireless packet service network, a universal mobile communication system network, a WiMAX communication network, and a Bluetooth communication network. A combination of two or more types of network and wireless local area network.

Preferably, in the multi-mode device, the session services performed by the multi-mode device include SMS service, MMS service, voice service, WAP service, web browsing service, VoIP service, Email service, IPTV service and FTP service A combination of two or more.

Preferably, in the multi-mode device, the types of switching include the following four types:

(1) A new available network appears;

(2) A previously existing service network is no longer available;

(3) The service quality of a service on a certain network changes;

(4) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network.

Preferably, in the multi-mode device, when a new available network needs to be switched, the switching decision module can provide the service according to the service quality satisfaction of each service and the new available network Satisfaction level of service quality, decide whether to switch each business flow, when the service quality satisfaction level that the new available network can provide to the business is greater than a limit value of the service quality satisfaction level of a certain business, decision-making to switch.

Preferably, in the multi-mode device, the service quality satisfaction is defined as $\mathrm{Qo}{S}_m=\underset{i}{\mathrm{\Σ}}{\mathrm{factor}}_i\·{\mathrm{weight}}_i;$

in, $\underset{i}{\mathrm{\Σ}}{\mathrm{weight}}_i=1,$ Indicates the weight of various factors;

For the benefit factor, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&le;l\\ \frac{r-l}{u-l},& l<r<\mathrm{<figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout>}\\ 1,& r\&Greater\; Equal;u\end{array}\right.;$

For cost factors, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&Greater\; Equal;u\\ \frac{u-r}{u-l},& l<r<\mathrm{<figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout>}\\ 1,& r\&le;l\end{array}\right.;$

Among them, u and l respectively represent the upper and lower limits of the parameters required by the corresponding business, and r represents the value that can be provided by the actual network environment;

For the upper and lower limits of parameters u and l of each business, known business types, determine the size of u and l in advance, unknown business types, set a set of default values, or use machine learning methods to set u and 1 value is determined;

For the weights of the various factors, a set of weight vectors is determined in advance for known service types, and a default weight vector is set for unknown service types.

Preferably, in the multi-mode device, the weights of the various factors are determined as follows:

Factors in different types of businesses correspond to a set of different weights. First use [1-10] to score each factor, and then calculate the total score. The ratio of each factor score to the total score is used as the final weight, that is

$\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right]$

$<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; the\; <figure-callout\; id="1"\; label="s"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">s</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\end{array}\right]<span\; class="notranslate">\; ;</span>$

where s _i is the score of the ith factor, 1≤s _i ≤10.

Preferably, in the multi-mode device, the limit value is inversely proportional to the movement speed of the multi-mode device and directly proportional to the coverage of the network currently used by the session.

Preferably, in the multi-mode device, when it is necessary to perform handover when a service network that originally existed is no longer available, the handover decision module The situation, the parameters of other still available networks and the state of the multimode device itself, decide to switch the session service performed in the no longer available network to other still available networks for session transmission.

Preferably, in the multi-mode device, the switching decision module is based on the status of the session service in the no longer available network, the parameters of other still available networks and the state of the multi-mode device itself, Using a sorting method approaching the ideal solution, combined with a fuzzy multi-attribute decision-making method, it is decided to switch the session service in the no longer available network to another still available network for transmission session.

Preferably, in the multi-mode device, when it is necessary to perform handover when the quality of service of a service on a certain network changes, the handover decision module judges whether the current network needs to be handed over to a different base station or the current network is no longer available, if it is the former, the decision is to switch directly to other available base stations, otherwise, according to the status of the session business in the no longer available network, the parameters of other still available networks and the multimode device own state, and decide to switch the session service performed in the no longer available network to another still available network for session transmission.

Preferably, in the multi-mode device, when the handover decision-making module determines that the current network is no longer available, the handover decision-making module determines other For the parameters of the available network and the state of the multi-mode device itself, the sorting method approaching the ideal solution is adopted, combined with the method of fuzzy multi-attribute decision-making, and the decision is made to switch the session service performed in the no longer available network to other The transfer session is performed on a network that is still available.

Preferably, in the multi-mode device, when the user explicitly specifies that the session communication carried out on a certain network should be switched to the specified network, the switching decision module directly bases on the user's Indicates the switch required for the decision.

In order to achieve the above object, the present invention also discloses a service flow switching method of a multi-mode device, which is characterized in that it includes the following steps:

Step 100, the multimode device judges the type of service flow switching to be performed;

Step 200, the multi-mode device decides how to switch the service flow according to the type of service flow switching to be performed, in combination with the services in the multi-mode device and specific parameters in the communication network;

Step 300, the multi-mode device executes a service flow switching operation according to the result of the decision.

Preferably, in the service flow switching method of the multi-mode device, the switching types include the following four types:

(1) A new available network appears;

(2) A previously existing service network is no longer available;

(3) The service quality of a service on a certain network changes;

(4) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network.

Preferably, in the service flow switching method of the multi-mode device, when the switching type is a new available network, the step 200 includes the following steps:

Step 211, the multi-mode device calculates the service quality satisfaction of all currently running services;

Step 212, the multi-mode device uses the calculated service quality satisfaction of each service to form a handover pre-selection queue;

Step 213, the multi-mode device judges whether the handover pre-selection queue is empty, if not, go to step 214, if not, go to step 217;

Step 214, the multi-mode device takes out the first service in the switching pre-selection queue, and calculates the service quality satisfaction QoS _new that can be obtained if this service is transmitted in the new available network;

Step 215, the multi-mode device judges whether the QoS _new exceeds a certain limit of the current service quality satisfaction, if it exceeds, proceed to step 216, otherwise, proceed to step 213;

Step 216, transfer the service taken from the switching pre-selection queue in step 214 to the queue to be switched, and update relevant parameters, and enter step 213;

Step 217, the operation ends.

Preferably, in the service flow switching method of the multi-mode device, the service quality satisfaction $\mathrm{Qo}{S}_m=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{factor}}_i\&Center\; Dot;{\mathrm{weight}}_i;$

in, $\underset{i}{\mathrm{\&Sigma;}}{\mathrm{weight}}_i=1,$ Indicates the weight of various factors;

For the benefit factor, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&le;l\\ \frac{r-l}{u-l},& l<r<\mathrm{<figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout>}\\ 1,& r\&Greater\; Equal;u\end{array}\right.;$

For cost factors, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&Greater\; Equal;u\\ \frac{u-r}{u-l},& l<r<\mathrm{<figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout>}\\ 1,& r\&le;l\end{array}\right.;$

Among them, u and l respectively represent the upper and lower limits of the parameters required by the corresponding business, and r represents the value that can be provided by the actual network environment;

For the upper and lower limits u and l of each business type, known business types, determine the size of u and l in advance, and unknown business types, set a set of default values, or use machine learning methods to adjust u and l value is determined;

For the weights of the various factors, a set of weight vectors is determined in advance for known service types, and a default weight vector is set for unknown service types.

Preferably, in the service flow switching method of the multi-mode device, the weights of the various factors are determined as follows:

Factors in different types of businesses correspond to a set of different weights. First use [1-10] to score each factor, and then calculate the total score. The ratio of each factor score to the total score is used as the final weight, that is

$\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right]$

$<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; the\; <figure-callout\; id="1"\; label="s"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">s</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\end{array}\right]<span\; class="notranslate">\; ;</span>$

where s _i is the score of the ith factor, 1≤s _i ≤10.

Preferably, in the service flow switching method of the multi-mode device, the limit value is inversely proportional to the movement speed of the multi-mode device and directly proportional to the coverage of the network currently used by the session.

Preferably, in the service flow switching method of the multi-mode device, when the switching type is that a service network that originally existed is no longer available, the step 200 includes the following steps:

Step 221, the multi-mode device judges whether there is a bearer service in the unreusable network, if yes, proceed to step 222, otherwise, proceed to step 228;

Step 222, the multi-mode device extracts the first service carried in the unreusable network, and constructs a decision matrix for each of the remaining available networks in combination with monitoring parameters;

Step 223, performing defuzzification processing on the decision matrix constructed in step 222;

Step 224, performing normalization processing on the defuzzified decision matrix, and performing corresponding weighting processing according to different services;

Step 225, select the optimal solution and negative optimal solution for each available network through the processed matrix;

Step 226, calculating and selecting the scheme proximity of each network according to the optimal solution and the negative optimal solution of each available network;

Step 227, the multi-mode device selects the available network with the largest proximity value of the solution, adds the service to the queue to be switched, and enters step 221;

Step 228, the operation ends.

Preferably, in the service flow switching method of the multi-mode device, in the step 222, the TOPSIS method is used to construct the decision matrix, each column of the decision matrix represents the value of a decision factor, and each row represents a backup Choose network.

Preferably, in the method for switching service flows of multi-mode devices, the rule according to which the decision matrix is defuzzified in step 223 is the maximum and minimum method or the center of gravity method.

Preferably, in the service flow switching method of the multi-mode device, in the step 224, when the decision matrix is D and the normalized matrix is M, the normalization method used is :

$m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}$ or $m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\sqrt{\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}^2}.$

Preferably, in the service flow switching method of the multi-mode device, in the step 225, when the processed matrix is V:

The optimal solution is $P_j=\underset{i}{\max }\left\{V_{\mathrm{ij}}\right\},$ Among them, take the maximum for each column of benefit parameters, and take the minimum for each column of cost parameters;

The negative optimal solution is $N_j=\underset{i}{\min }\left\{V_{\mathrm{ij}}\right\},$ Among them, the maximum is taken for each column of the benefit type parameter, and the minimum is taken for each column of the cost type parameter.

Preferably, in the service flow switching method of the multi-mode device, in the step 226, the scheme proximity $C_i=\frac{d_i^{-}}{d_i^{-}+d_i},$ Among them, d _i =|A _i -P _i |, $d_i^{-}=|A_i-N_i|,$ Ai is a row in the decision matrix.

Preferably, in the service flow switching method of the multi-mode device, when the type of switching is that the quality of service of a service on a certain network changes, the step 200 includes the following steps:

Step 231, the multi-mode device starts timing when the service quality of the service changes, and the length of the timing is a stable interval;

Step 232, when the length of the timing reaches the stable interval, the multi-mode device checks whether the service quality of the network being used by the business still cannot meet the requirements of normal use, and if it still cannot meet the requirements, enter step 233, Otherwise, go to step 236

Step 233, the multi-mode device detects whether there are other available base stations in the network used by the service, if yes, proceed to step 234, otherwise, the network is unusable, proceed to step 235:

Step 234, the multi-mode device where it is located switches the service level to other available base stations in the same network, and the operation ends;

Step 235, according to the type of switching is the processing method when an existing service network is no longer available, decide how to switch the service flow, and the operation ends;

Step 236, the operation ends.

Preferably, in the service flow switching method of the multi-mode device, when the type of switching is that the user explicitly specifies that the session communication performed on a certain network is switched to a specified network, in the In step 200, the required switching is directly decided according to the user's instruction.

Preferably, in the service flow switching method of the multi-mode device, the step 300 includes the following steps:

Step 310, judging whether the queue to be switched is not empty, if not, proceed to step 320, otherwise, proceed to step 330;

Step 320, sequentially take out services from the queue to be switched to perform a switching operation, and enter step 330;

Step 330, the operation ends.

The beneficial effects of the present invention are: a multi-mode device and its service flow switching method in the present invention can completely cover the scenarios of multi-service flow switching, and it performs switching decision processing for each scenario respectively, and according to different scenarios Different algorithms are used to make the whole algorithm flexible and efficient. At the same time, the multi-mode device and its service flow switching method in the present invention comprehensively consider the information of the surrounding network, the status of the device, and the service quality requirements of the business, and make a decision after careful analysis in combination with the user's preferences. Therefore, under the premise of ensuring the quality of service, the communication cost paid by the user can be greatly saved.

Description of drawings

Figure 1 is a scene diagram of various business communications on a multi-mode device;

FIG. 2 is a schematic diagram of a scene of switching that occurs when a new available network appears;

FIG. 3 is a schematic diagram of a switching scenario that occurs when an original service network is no longer available;

FIG. 4 is a flow chart of a method for switching service flows of a multi-mode device in the present invention;

Fig. 5 is a frame diagram of a multi-mode device in the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, a multi-mode device and a service flow switching method thereof according to the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

To achieve efficient decision-making on how to switch service flows, it is necessary to understand the causes of service flow switching. Usually, when the following three situations occur, service flow switching will occur: (1) Service network of multi-mode equipment (2) The service quality of a service on a certain network changes; (3) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network. Among them, the service network set refers to the set of all communication networks currently in use by the multi-mode device, and the change of the service network set can be further subdivided into two cases: a new available network and the original service network is no longer available .

When the above-mentioned situations that cause service flow switching occur, when a new available network appears, if the newly emerged network has some good service characteristics, such as better bandwidth or cost advantages, it can be considered to switch to other networks. The services that communicate on the interface and are not in the best service state are switched to the new network for communication; if the original network is no longer available, the affected services need to be switched to the available network immediately; similarly, if the When the service quality of a service on a certain network declines significantly, the handover decision algorithm should be started in time to select a new transmission network for the communication session; finally, if the user explicitly specifies the handover, it will meet the needs of the user, according to the user's A corresponding switch is required.

In the present invention, different processing methods are adopted for the above-mentioned several different causes of service flow switching:

For the case of a new available network, first of all, use the index of "service quality satisfaction" to represent the satisfaction degree of each business to the current network communication service status, and the service quality satisfaction is consistent with the coverage provided by the current bearer network. Range, available bandwidth, packet loss rate, delay, charging, remaining battery capacity of the terminal, movement speed and other factors are related; then, the service quality satisfaction is normalized, and the service quality satisfaction is equal to 1 to indicate that the service is currently The service status of the service is completely satisfied, and the smaller the service quality satisfaction is, the more dissatisfied; then, according to the service quality satisfaction of each service flow, determine the service flow that needs to be switched, and at the same time calculate the service flow that the new available network can give to these service flows. Satisfaction with the quality of service provided. If the new available network can provide better service, the corresponding business will be switched to the new network.

For the situation that the original service network is no longer available, since the services carried on the original network need to be switched, it is possible to make a reasonable switch from the aspects of the service itself, other available networks, and user preferences. choose. Among them, the Fuzzy Multiple Attributes Decision Making (FMADM) method based on TOPSIS can be used to construct a fuzzy decision matrix, and after processing, the optimal bearer network for each service that needs to be switched can be selected. Wherein, the elements in the fuzzy decision matrix are parameter values that will have a greater impact on the decision result, including the maximum and minimum bandwidth requirements of each service, the sensitivity to the packet loss rate, and the bearer network. The corresponding values of , etc., because there are some differences in the dimensions of these values, they need to be normalized before the operation.

For the situation that the quality of service of a service on a certain network changes, this indicates that the service capability of the current service network has undergone a huge change, which may be due to the user (multi-mode device) moving to the edge of the service network, or It may be that the wireless link is temporarily interfered, so switching cannot be performed too quickly, but a waiting and judgment process is required. If the multi-mode device moves to the edge of the network, the same type of device can be preferentially adopted. The inter-system switching mode of the network is horizontal switching. Otherwise, it can be handled according to the above-mentioned situation that the original service network is no longer available.

For the case where the user explicitly specifies to switch the session to the designated network, since this is a user-directed switching decision, the user's needs should be met first, and the switching should be performed according to the user's instructions.

Based on the above situations, multi-mode devices can effectively determine which decision-making method should be adopted based on the perception of service quality by the business itself and the service network information provided by the servers deployed in the network. It can effectively switch the service flow to the appropriate network interface for bearing.

In a specific embodiment of the present invention, when the multi-mode device makes a decision on service flow switching, two data structures are used in its decision-making algorithm, that is, the switching pre-selected queue and the queue to be switched. Among them, the switching pre-selection queue is used to store the set of all services that are not satisfied with the current service quality; the waiting queue is used to store the set of services that need to be switched after the decision, and at the same time indicate the target network to be switched .

Please refer to Figure 1, which is a scene diagram of various service communications on a multi-mode device. The multi-mode device shown in Figure 1 has multiple wireless network interfaces (such as GPRS, UMTS, and WiMAX interfaces, etc.), and multiple sessions can be carried on these interfaces at the same time, and the most suitable network can be selected for transmission of each session. When the network conditions or the service quality of the business change, it is necessary to consider how to use the network conditions and equipment information to make judgments and make switching decisions that meet business requirements, so as to switch the current session transmission to another suitable network to continue .

Please refer to FIG. 2 , which is a schematic diagram of a switching scenario that occurs when a new available network appears. As shown in Figure 2, when there is no new available network, the services carried out in the multimode device include SMS service, MMS service and VoIP service, and the available communication network is GPRS and UMTS. At this time, the VoIP service Transmission is carried out by UMTS, so its communication cost etc. is not very satisfactory. When a new available network appears, that is, a WiMAX network, the WiMAX network can reduce the cost of session communication while having service quality assurance, so the VoIP session can be switched to the WiMAX network for transmission.

Please refer to FIG. 3 , which is a schematic diagram of a handover scenario that occurs when an original service network is no longer available. When there is no new available network, the services carried out in the multimode device include MMS service, SMS service, Email service and IPTV service, and the available communication networks are GPRS, UMTS and WLAN, and the Email service and IPTV service at this time Transmission via WLAN. When the multi-mode device moves out of the WLAN network with a small coverage area, it is necessary to find a new bearer network for the IPTV service and Email service previously transmitted on the WLAN network, wherein the IPTV service is suitable for carrying out on the UMTS network with a relatively large bandwidth transmission, while the Email service can be transmitted on the GPRS network. Since the handover decision in this situation only needs to be made for the session service on the affected interface, the goal is to select an optimal network for the decision object from many available networks, so the decision conditions include Service flow status, network environment parameters, and the status of the terminal itself. In this case, it is necessary to make a decision as soon as possible, so some parameters cannot be obtained accurately enough, but will have a certain "fuzziness". Therefore, the method of fuzzy multi-attribute decision-making can be used to complete the design of the algorithm.

Please refer to FIG. 4 , which is a flow chart of a method for switching service flows of a multi-mode device in the present invention. The process of a service flow switching method of a multi-mode device in the present invention includes the following steps:

Step S100, the multi-mode device judges according to the services in the multi-mode device and the conditions of the communication network, and when it is necessary to make a service flow switching decision, go to step S200.

Step S200, the multi-mode device judges the type of service flow switching that needs to be performed. If there is a new available network, go to step S211; if the original service network is no longer available, go to step S221; if If the service quality of a service on a certain network changes, go to step S231; if the user explicitly specifies that the session should be switched to the specified network, go to step S241.

In step S211, the multi-mode device calculates the service quality satisfaction degree QoS _m of all currently running services, and proceeds to step S212.

in, $\mathrm{Qo}{S}_m=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{factor}}_i\&Center\; Dot;{\mathrm{weight}}_i;$ $\underset{i}{\mathrm{\&Sigma;}}{\mathrm{weight}}_i=1,$ Indicates the weight of various factors.

For benefit factors (that is, the larger the value, the better), such as available bandwidth and coverage, there are:

${\mathrm{<span\; class="notranslate">\; factor</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\left\{\begin{array}{cc}\mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; l</span>}\\ \frac{\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; l</span>}}{\mathrm{<span\; class="notranslate">\; u</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; l</span>}}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; <figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout></span>}\\ \mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; \&Greater\; Equal;</span>\mathrm{<span\; class="notranslate">\; u</span>}\end{array}\right.$

For cost-type factors (that is, the smaller the value, the better), such as charging, packet loss rate, and network load, there are:

${\mathrm{<span\; class="notranslate">\; factor</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\left\{\begin{array}{cc}\mathrm{<span\; class="notranslate">\; 0</span>}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; \&Greater\; Equal;</span>\mathrm{<span\; class="notranslate">\; u</span>}\\ \frac{\mathrm{<span\; class="notranslate">\; u</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; r</span>}}{\mathrm{<span\; class="notranslate">\; u</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; l</span>}}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; l</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; <</span>\mathrm{<span\; class="notranslate">\; <figure-callout\; id="1"\; label="u"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">u</figure-callout></span>}\\ \mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span>& \mathrm{<span\; class="notranslate">\; r</span>}<span\; class="notranslate">\; \&le;</span>\mathrm{<span\; class="notranslate">\; l</span>}\end{array}\right.$

Wherein, u and l in the above formula respectively represent the upper and lower limits of the parameters required by the corresponding service, and r represents the value that can be provided by the actual network environment. For example, the bandwidth provided by the current network to the service is r, and the maximum and minimum bandwidth required by the service are u and l respectively.

After the above processing, the dimensions of various parameters are unified, and the value of the service quality satisfaction degree QoS _m is limited within [0, 1], so as to facilitate comparison in subsequent steps.

In a specific embodiment of the present invention, for each parameter, its upper and lower limits u and l are determined according to the following rules, that is, the switching decision module in the multi-mode device maintains a service parameter table, which records each Business requirements for parameters such as bandwidth, delay, and packet loss rate, including the supported maximum and minimum values. For common business types, the size of these values can be determined in advance; for new business types, a set of default values can be set, or the value can be determined by using machine learning methods.

Among them, the determination rule for the weight of each factor of each business is: the factors in different types of business correspond to a group of different weights, first use [1-10] to score each factor, and then calculate the total score, The ratio of each factor score to the total score is used as the final weight, that is,

$\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right]$

$<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; the\; <figure-callout\; id="1"\; label="s"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">s</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\end{array}\right]$

s _i is the score of the i-th factor, 1≤s _i ≤10.

For known service types, a set of weight vectors can be determined in advance, such as W _voice , W _video , W _data, etc. respectively corresponding to the weight vectors of various factors of voice service, video service and data service; for unknown service types, you can Set a default weight vector W _default for it.

Wherein, the user may reflect his own preferences by defining the weights of the above decision factors.

In step S212, the multi-mode device arranges the service quality satisfaction degree QoS _m of each service calculated in step S211 in ascending order to form a switching pre-selection queue, and enters step S213.

Step S213, the multi-mode device judges whether the handover pre-selection queue is empty, if not empty, proceed to step S214, if not, proceed to step S217.

Step S214, the multi-mode device takes out the service at the head of the queue in the handover pre-selection queue, calculates the service quality satisfaction QoS _new that can be obtained if this service is transmitted in the newly available network, and enters step S215 .

Step S215, the multi-mode device judges whether the QoS _new exceeds a certain limit T of the current quality of service satisfaction QoS _m , if it exceeds, enters step S216, otherwise, enters step S213; wherein, the limit T and The movement speed v of the multi-mode device is inversely proportional to the coverage of the bearer network currently used by the session. The purpose of adding the limit T is to reduce the occurrence of unnecessary handovers, that is, only for If the service is too satisfactory, if the new network can provide a better choice, then the service will be switched, otherwise, the service will still be transmitted through the original network to reduce the overhead caused by the switch.

Step S216, transfer the service taken from the switching pre-selection queue in step S214 to the queue to be switched, and update the switching pre-selection queue, new available network and parameters of this service, and enter step S213.

Step S217, the multi-mode device judges whether the queue to be switched is empty, if not empty, enter step S218, otherwise, enter step S300.

In step S218, the multi-mode device starts a switching execution process, switches the services in the queue to be switched sequentially, and the operation ends.

In step S221, the multi-mode device judges whether there is a certain service network that is about to or has failed and is no longer available. If yes, proceed to step S222; otherwise, proceed to step S300.

Step S222, the multi-mode device judges whether there is a bearer service in the unreusable network, if yes, proceed to step S223, otherwise, proceed to step S217.

In step S223, the multi-mode device takes out the first service carried in the unreusable network, and constructs a decision matrix for each of the remaining available networks in combination with monitoring parameters, and proceeds to step S224.

In a specific embodiment of the present invention, the structure of the decision matrix is similar to the following matrix:

$\mathrm{<span\; class="notranslate">\; D.</span>}<span\; class="notranslate">\; =</span>\begin{array}{c}\mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; 1</span>}\\ \mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; 2</span>}\\ \mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; 3</span>}\\ \mathrm{<span\; class="notranslate">\; A</span>}\mathrm{<span\; class="notranslate">\; 4</span>}\end{array}<span\; class="notranslate">\; |</span>\left[\begin{array}{cccccc}\mathrm{<span\; class="notranslate">\; 10</span>}& \mathrm{<span\; class="notranslate">\; 30</span>}& \mathrm{<span\; class="notranslate">\; 80</span>}& \mathrm{<span\; class="notranslate">\; very</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; long</span>}& \mathrm{<span\; class="notranslate">\; seamless</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 7</span>}& \mathrm{<span\; class="notranslate">\; 40</span>}& \mathrm{<span\; class="notranslate">\; 80</span>}& \mathrm{<span\; class="notranslate">\; very</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; long</span>}& \mathrm{<span\; class="notranslate">\; very</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; bad</span>}& \mathrm{<span\; class="notranslate">\; 0.5</span>}\\ \mathrm{<span\; class="notranslate">\; 1</span>}& \mathrm{<span\; class="notranslate">\; 80</span>}& \mathrm{<span\; class="notranslate">\; 20</span>}& \mathrm{<span\; class="notranslate">\; short</span>}& \mathrm{<span\; class="notranslate">\; very</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; good</span>}& \mathrm{<span\; class="notranslate">\; 1</span>}\\ \mathrm{<span\; class="notranslate">\; 2</span>}& \mathrm{<span\; class="notranslate">\; 40</span>}& \mathrm{<span\; class="notranslate">\; 40</span>}& \mathrm{<span\; class="notranslate">\; <figure-callout\; id="1"\; label="short\; good"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">short</figure-callout></span><figure-callout\; id="1"\; label="short\; good"\; filenames="S2007103046524E00011.png"\; state="\{\{state\}\}">\; </figure-callout>}& \mathrm{<span\; class="notranslate">\; </span>}\mathrm{<span\; class="notranslate">good</span>}& \mathrm{<span\; class="notranslate">\; 1</span>}\end{array}\right]$

Among them, each column represents the value of a decision factor, and each row (Ai) represents an alternative network. For example, the third column indicates that the available bandwidth values of each network are 80Kbps, 80Kbps, 20Kbps and 40Kbps respectively, and the sixth column indicates the charging standard of each network, and the unit is cent/Kbyte.

Linguistic variables such as "very_long" and "very good" can appear in the decision matrix constructed in this step.

Step S224, defuzzifying the decision matrix constructed in step S223, that is, converting the linguistic variables appearing in the decision matrix into precise values, and the rules based on it can be the maximum and minimum value method in fuzzy mathematics, Gravity method and so on, go to step S225.

Step S225, perform normalization processing on the defuzzified decision matrix, and perform corresponding weighting processing according to different services, and proceed to step S226.

Wherein, the decision matrix is D, and the normalized matrix is M. In the specific embodiment of the present invention, the common normalization method used has:

$m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}$ or $m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\sqrt{\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}^2}$

For each type of service, they have different combinations of requirements on bandwidth and delay, which can also be expressed by language variables, for example:

Wv＝[medium medium low high high low]

Wd＝[high high low low medium medium]

They respectively represent the emphasis on bandwidth, signal-to-noise ratio, price, etc. of voice and data services. After the same defuzzification process, a numerical vector can be obtained. After multiplying this numerical vector with the M matrix, the processed The matrix V, V _ij =W _j □M _ij .

Step S226, select the optimal solution and negative optimal solution for each available network through the processed matrix V, and proceed to step S227.

Optimal solution: $P_j=\underset{i}{\max }\left\{V_{\mathrm{ij}}\right\},$ Take the maximum of each column (for cost parameters, take the minimum)

Negative optimal solution: $N_j=\underset{i}{\min }\left\{V_{\mathrm{ij}}\right\},$ Take the minimum for each column (for cost parameters, take the maximum)

Step S227, calculate and select the scheme proximity of each network according to the optimal solution and the negative optimal solution of each available network, and sort them, and proceed to step S228.

where the program proximity $C_i=\frac{d_i^{-}}{d_i^{-}+d_i},$ d _i = |A _i -P _i |, $d_i^{-}=|A_i-N_i|.$

Step S228, the multi-mode device selects the available network with the largest value of the proximity Ci of the solution, and adds the service to the queue to be switched, and the service will be transferred to the available network with the largest value of the proximity Ci of the solution During the communication session, go to step S222.

Step S231, the multi-mode device starts counting when the service quality of the service changes, and the length of the timing is a stable interval T, and enters step S232, wherein the stable interval T is related to the moving speed of the multi-mode device Inversely proportional to, its length can be set in this step, or preset when the system is initialized.

Step S232, when the length of the timing reaches the stable interval T, the multi-mode device checks whether the service quality of the network being used by the business still cannot meet the requirements of normal use, and if it still cannot meet the requirements, proceed to step S233 , otherwise, go to step S300.

In step S233, the multi-mode device detects whether there are other available base stations in the network used by the service, and if so, proceeds to step S234; otherwise, proceeds to step S221.

In step S234, the multi-mode device where it is located switches the service level to other available base stations in the same network, and the operation ends.

Step S241, the multi-mode device switches the target service flow according to the user's selection, and the operation ends.

Step S300, the operation ends.

In specific embodiments of the present invention, other algorithms can also be used for different scenarios, for example, for the above-mentioned situation where the original service network is no longer available, the method based on Vague set can also be used instead of the method based on TOPSIS. Therefore, this The decision-making algorithm and the like described in the invention are only examples, and are not intended to limit the present invention.

Please refer to FIG. 5 , which is a frame diagram of a multi-mode device in the present invention. A multi-mode device 10 in the present invention includes a wireless interface module 11 , a handover identification module 12 , a handover decision module 13 and a handover execution module 14 .

The wireless interface module 11 is configured to connect the multimode device 10 to a network for session service transmission, wherein the network includes a global mobile communication network, a general wireless packet service network, a universal mobile communication system network, a WiMAX communication network, bluetooth communication network and wireless local area network, etc.

The handover identification module 12 is used to determine whether there is a need to switch services between different communication networks according to the services in the multi-mode device and the conditions of the communication network, and which one needs to be performed. Type switching is judged. Wherein, the switching includes the following four types:

(1) A new available network appears, so that the original session service transmitted on a certain network can be transferred to the new network;

(2) A certain service network that originally existed is no longer available, so it is necessary to transfer the session transmission performed on this service network to another network that still exists and is available;

(3) The service quality of the business on a certain network changes, so it is necessary to judge whether it is necessary to transfer the business on this network to other networks;

(4) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network.

The handover decision-making module 13 is used to adopt corresponding algorithms to make handover decisions according to the results of the judgment of the handover identification module 12 and according to the different types of service handovers required, so as to determine whether a certain service flow needs to be handed over. Perform handover and how to perform handover, wherein, in the decision of handover, it is necessary to refer to various parameters of available networks and corresponding services.

When it is necessary to perform handover in the case of a new available network, the handover decision module 13 makes a decision on the quality of service satisfaction of each service and the service quality satisfaction that the new available network can provide to the service. Whether the service flow needs to be switched.

When it is necessary to perform a handover when a service network that originally existed is no longer available, the handover decision module 13 combines monitoring parameters for each service flow, constructs a decision matrix for each network that is still available, and defuzzifies the data , matrix normalization and other operations, to decide which network is still available to switch the services originally performed on the unavailable network to.

When it is necessary to perform handover when the quality of service of a service on a certain network changes, the handover decision module 13 first judges whether the service quality of the service on the network is still not up to use after a stable interval If the requirements are still not met, further judge whether it is necessary to switch between different base stations in the same network, or to switch the service to a different network for session transmission (the current network is no longer available), if the former , then the decision is made to switch directly to other available base stations, otherwise, the decision-making operation is made according to the handover when a certain service network that originally existed is no longer available.

When the user explicitly specifies that the session communication performed on a certain network should be switched to the designated network, the switching decision module 13 directly performs the switching decision according to the user's instruction.

The switching execution module 14 is configured to switch the corresponding service flow according to the switching decision made by the switching decision module 13 .

Wherein, the services performed by the multi-mode device 10 include SMS services, MMS services, voice services, WAP services, web browsing services, VoIP services, Email services, IPTV services, and FTP services.

For the specific operation process of the multi-mode device 10, please refer to the steps in the foregoing method for switching service flows of a multi-mode device, and details will not be repeated here.

Of course, the present invention can also have other various embodiments, and those skilled in the art can make various corresponding changes and deformations according to the present invention without departing from the spirit and essence of the present invention, but these corresponding Changes and deformations should all belong to the protection scope of the appended claims of the present invention.

Claims (28)

1. A multi-mode device, characterized in that it includes a wireless interface module, a handover identification module, a handover decision-making module, and a handover execution module; The wireless interface module is used to connect the multi-mode device to a network for session service transmission; The handover identification module is configured to judge which type of handover needs to be performed according to the services in the multi-mode device and the conditions of the network; The handover decision-making module is used to adopt corresponding algorithms to make handover decisions according to the judgment result of the handover identification module and according to different types of service handovers required, so as to decide whether a certain service flow needs to be handed over and how to switch; The switching execution module is configured to switch the corresponding service flow according to the switching decision made by the switching decision module. 2. A kind of multi-mode equipment according to claim 1, it is characterized in that, the network that described wireless interface module connects described multi-mode equipment comprises Global Mobile Communications Network, General Wireless Packet Service Network, Universal Mobile Communications System Internet, WiMAX communication network, Bluetooth communication network, and a combination of two or more of wireless local area networks. 3. A kind of multimode equipment according to claim 1, it is characterized in that, the session service that described multimode equipment carries out comprises SMS service, MMS service, voice service, WAP service, web browsing service, VoIP service, Email service A combination of two or more of , IPTV and FTP services. 4. A multi-mode device according to claim 1, wherein the type of switching includes the following four types: (1) A new available network appears; (2) A previously existing service network is no longer available; (3) The service quality of a service on a certain network changes; (4) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network. 5. A multi-mode device according to claim 4, characterized in that, when a new available network needs to be switched, the switching decision module is based on the service quality satisfaction of each business and the new The service quality satisfaction that the available network can provide to the service, decide whether to switch each service flow, when the service quality satisfaction that the new available network can provide to the service is greater than the service quality of a certain service When satisfaction reaches a threshold, the decision is made to switch. 6. A kind of multimode equipment according to claim 5, is characterized in that, described service quality satisfaction is defined as $\mathrm{Qo}{S}_m=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{factor}}_i\&Center\; Dot;{\mathrm{weight}}_i;$ in, $\underset{i}{\mathrm{\&Sigma;}}{\mathrm{weight}}_i=1,$ Indicates the weight of various factors; For the benefit factor, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&le;l\\ \frac{r-l}{u-l},& l<r<u\\ 1,& r\&Greater\; Equal;u\end{array}\right.;$ For cost factors, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&Greater\; Equal;u\\ \frac{u-r}{u-l},& l<r<u\\ 1,& r\&le;l\end{array}\right.;$ Among them, u and l respectively represent the upper and lower limits of the parameters required by the corresponding business, and r represents the value that can be provided by the actual network environment; For the upper and lower limits u and l of each business type, known business types, determine the size of u and l in advance, and unknown business types, set a set of default values, or use machine learning methods to adjust u and l value is determined; For the weights of the various factors, a set of weight vectors is determined in advance for known service types, and a default weight vector is set for unknown service types. 7. A kind of multimode equipment according to claim 6, is characterized in that, the determination mode of the weight of described various factors is: Factors in different types of businesses correspond to a set of different weights. First use [1-10] to score each factor, and then calculate the total score. The ratio of each factor score to the total score is used as the final weight, that is $\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right]$ $<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\end{array}\right]<span\; class="notranslate">\; ;</span>$ where s _i is the score of the ith factor, 1≤s _i ≤10. 8. The multi-mode device according to claim 5, wherein the limit value is inversely proportional to the movement speed of the multi-mode device and directly proportional to the coverage of the network currently used by the session. 9. A multi-mode device according to claim 4, characterized in that, when it is necessary to perform a handover when an existing service network is no longer available, the handover decision module bases the According to the status of the session service conducted in the network, the parameters of other still available networks and the status of the multimode device itself, it is decided to switch the session service conducted in the no longer available network to other still available networks Do session transfer. 10. The multi-mode device according to claim 9, wherein the switching decision module is based on the status of the session service in the no longer available network, the parameters of other still available networks and the Describe the state of the multi-mode device itself, adopt the sorting method approaching the ideal solution, combined with the method of fuzzy multi-attribute decision-making, and decide to switch the session services in the no longer available network to other still available networks for transmission session. 11. A multi-mode device according to claim 4, characterized in that, when it is necessary to perform handover when the service quality of a service on a certain network changes, the handover decision module judges that the current network needs to be handed over to a different base station, or the current network is no longer available, if the former, the decision is to switch directly to other available base stations, otherwise, according to the status of session traffic in the no longer available network, other still available networks parameters and the state of the multi-mode device itself, and decide to switch the session service performed in the no longer available network to another still available network for session transmission. 12. The multi-mode device according to claim 11, wherein when the handover decision-making module determines that the current network is no longer available, the handover decision-making module performs the The status of the session business, other network parameters that are still available, and the state of the multi-mode device itself, using the sorting method approaching the ideal solution, combined with the fuzzy multi-attribute decision-making method, the decision will be made in the network that is no longer available The session business in the network is switched to other still available networks for transmission sessions. 13. A multi-mode device according to claim 4, characterized in that, when it is necessary to switch the session communication performed on a certain network to the designated network for the user to explicitly designate, the The handover decision-making module directly decides the required handover according to the user's instruction. 14. A service flow switching method for a multi-mode device, comprising the following steps: Step 100, the multimode device judges the type of service flow switching to be performed; Step 200, the multi-mode device decides how to switch the service flow according to the type of service flow switching to be performed, in combination with the services in the multi-mode device and specific parameters in the communication network; Step 300, the multi-mode device executes a service flow switching operation according to the result of the decision. 15. The method for switching service flows of a multi-mode device according to claim 14, wherein the type of switching includes the following four types: (1) A new available network appears; (2) A previously existing service network is no longer available; (3) The service quality of a service on a certain network changes; (4) The user explicitly specifies that the session communication carried out on a certain network is switched to the specified network. 16. The method for switching service flows of a multi-mode device according to claim 15, wherein when the type of switching is a new available network, the step 200 includes the following steps: Step 211, the multi-mode device calculates the service quality satisfaction of all currently running services; Step 212, the multi-mode device uses the calculated service quality satisfaction of each service to form a handover pre-selection queue; Step 213, the multi-mode device judges whether the handover pre-selection queue is empty, if not, go to step 214, if not, go to step 217; Step 214, the multi-mode device takes out the first service in the switching pre-selection queue, and calculates the service quality satisfaction QoS _new that can be obtained if this service is transmitted in the new available network; Step 215, the multi-mode device judges whether the QoS _new exceeds a certain limit of the current service quality satisfaction, if it exceeds, proceed to step 216, otherwise, proceed to step 213; Step 216, transfer the service taken from the switching pre-selection queue in step 214 to the queue to be switched, and update relevant parameters, and enter step 213; Step 217, the operation ends. 17. The service flow switching method of a multi-mode device according to claim 16, wherein the service quality satisfaction degree $\mathrm{Qo}{S}_m=\underset{i}{\mathrm{\&Sigma;}}{\mathrm{factor}}_i\&CenterDot;{\mathrm{weight}}_i;$ in, $\underset{i}{\mathrm{\&Sigma;}}{\mathrm{weight}}_i=1,$ Indicates the weight of various factors; For the benefit factor, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&le;l\\ \frac{r-l}{u-l},& l<r<u\\ 1,& r\&Greater\; Equal;u\end{array}\right.;$ For cost factors, ${\mathrm{factor}}_i=\left\{\begin{array}{cc}0,& r\&Greater\; Equal;u\\ \frac{u-r}{u-l},& l<r<u\\ 1,& r\&le;l\end{array}\right.;$ Among them, u and l respectively represent the upper and lower limits of the parameters required by the corresponding business, and r represents the value that can be provided by the actual network environment; For the upper and lower limits u and l of each business type, known business types, determine the size of u and l in advance, and unknown business types, set a set of default values, or use machine learning methods to adjust u and l value is determined; For the weights of the various factors, a set of weight vectors is determined in advance for known service types, and a default weight vector is set for unknown service types. 18. The method for switching service flows of a multi-mode device according to claim 17, wherein the weights of the various factors are determined in the following manner: Factors in different types of businesses correspond to a set of different weights. First use [1-10] to score each factor, and then calculate the total score. The ratio of each factor score to the total score is used as the final weight, that is $\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right]$ $<span\; class="notranslate">\; =</span>\left[\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}& <span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>& {\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; /</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; the\; s</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\end{array}\right]<span\; class="notranslate">\; ;</span>$ where s _i is the score of the ith factor, 1≤s _i ≤10. 19. The method for switching service flows of a multi-mode device according to claim 16, wherein the limit value is inversely proportional to the movement speed of the multi-mode device, and is inversely proportional to the coverage of the network currently used by the session. Proportional. 20. The method for switching service flows of a multi-mode device according to claim 15, wherein when the type of switching is that an existing service network is no longer available, in the step 200, comprising: The following steps: Step 221, the multi-mode device judges whether there is a bearer service in the unreusable network, if yes, proceed to step 222, otherwise, proceed to step 228; Step 222, the multi-mode device extracts the first service carried in the unreusable network, and constructs a decision matrix for each of the remaining available networks in combination with monitoring parameters; Step 223, performing defuzzification processing on the decision matrix constructed in step 222; Step 224, performing normalization processing on the defuzzified decision matrix, and performing corresponding weighting processing according to different services; Step 225, select the optimal solution and negative optimal solution for each available network through the processed matrix; Step 226, calculating and selecting the scheme proximity of each network according to the optimal solution and the negative optimal solution of each available network; Step 227, the multi-mode device selects the available network with the largest proximity value of the solution, adds the service to the queue to be switched, and enters step 221; Step 228, the operation ends. 21. The service flow switching method of a multi-mode device according to claim 20, characterized in that, in the step 222, the TOPSIS method is used to construct the decision matrix, and each column of the decision matrix represents a decision factor value, each row represents a candidate network. 22. The method for switching service flows of a multi-mode device according to claim 20, wherein the rule according to which the decision matrix is defuzzified in the step 223 is the maximum and minimum value method or the center of gravity Law. 23. The service flow switching method of a multi-mode device according to claim 20, characterized in that, in the step 224, when the decision matrix is D and the normalized matrix is M, the The normalization method used is: $m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}$ or $m_{\mathrm{ij}}={\mathrm{D.}}_{\mathrm{ij}}/\sqrt{\underset{i}{\mathrm{\&Sigma;}}{\mathrm{D.}}_{\mathrm{ij}}^2}.$ 24. The method for switching service flows of a multi-mode device according to claim 20, wherein, in the step 225, when the processed matrix is V: The optimal solution is $P_j=\underset{i}{\max }\left\{V_{\mathrm{ij}}\right\},$ Among them, take the maximum for each column of benefit parameters, and take the minimum for each column of cost parameters; The negative optimal solution is $N_j=\underset{i}{\min }\left\{V_{\mathrm{ij}}\right\},$ Among them, the maximum is taken for each column of the benefit type parameter, and the minimum is taken for each column of the cost type parameter. 25. A method for switching service flows of a multi-mode device according to claim 20, characterized in that, in the step 226, the scheme proximity $C_i=\frac{d_i^{-}}{d_i^{-}+d_i},$ Among them, d _i =|A _i -P _i |, $d_i^{-}=|A_i-N_i|,$ Ai is a row in the decision matrix. 26. The method for switching service flows of a multi-mode device according to claim 15, wherein when the type of switching is that the quality of service of a service on a certain network changes, in the step 200, Include the following steps: Step 231, the multi-mode device starts timing when the service quality of the service changes, and the length of the timing is a stable interval; Step 232, when the length of the timing reaches the stable interval, the multi-mode device checks whether the service quality of the network being used by the business still cannot meet the requirements of normal use, and if it still cannot meet the requirements, enter step 233, Otherwise, go to step 236 Step 233, the multi-mode device detects whether there are other available base stations in the network used by the service, if yes, proceed to step 234, otherwise, the network is unusable, proceed to step 235; Step 234, the multi-mode device where it is located switches the service level to other available base stations in the same network, and the operation ends; Step 235, according to the type of switching is the processing method when an existing service network is no longer available, decide how to switch the service flow, and the operation ends; Step 236, the operation ends. 27. The method for switching service flows of a multi-mode device according to claim 15, wherein when the type of switching is that the user explicitly specifies that the session communication performed on a certain network is switched to a specified network During the process, in the step 200, the required switching is directly decided according to the user's instruction. 28. A method for switching service flows of a multi-mode device according to claim 15, wherein the step 300 includes the following steps: Step 310, judging whether the queue to be switched is not empty, if not, proceed to step 320, otherwise, proceed to step 330; Step 320, sequentially take out services from the queue to be switched to perform a switching operation, and enter step 330; Step 330, the operation ends.

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