CN104185248B - A kind of heterogeneous network joint connection control method based on classification - Google Patents

A kind of heterogeneous network joint connection control method based on classification Download PDF

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CN104185248B
CN104185248B CN201410056583.XA CN201410056583A CN104185248B CN 104185248 B CN104185248 B CN 104185248B CN 201410056583 A CN201410056583 A CN 201410056583A CN 104185248 B CN104185248 B CN 104185248B
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CN104185248A (en
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曹金勇
单联海
熊勇
章然
姚炜
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SHANGHAI INTERNET OF THINGS CO Ltd
Shanghai Research Center for Wireless Communications
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Shanghai Research Center for Wireless Communications
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Abstract

The present invention relates to a kind of, and the heterogeneous network based on classification combines connection control method, terminal and network side all have access decision function, terminal side is according to wireless network signal strength, user's network selection preference, type of service, movement speed etc. is simple or single condition carries out the judgement and selection of level-one access network, only in the case where that cannot be made decisions by simple condition, network side carries out the judgement of second level access network again, i.e. according to the location information where terminal, utilize Information Entropy, improved AHP analytic approach COMPREHENSIVE CALCULATING network utility, the maximum network advertisement terminal of effectiveness is selected to carry out service access, to realize that terminal traffic is linked into the load balance of suitable network and heterogeneous network.This method can improve the efficiency of whole system access judgement, reduce the load of core net, also ensure the suitable network of user traffic access, and radio resource is made full use of to lower admission reject rate.

Description

A kind of heterogeneous network joint connection control method based on classification
Technical field
The present invention relates to the converged network technologies of Cellular Networks and WLAN in information technology field, more particularly to a kind of base Combine connection control method in the heterogeneous network of classification.
Background technique
In recent years, with the rapid development of intelligent multimode terminal, explosive growth is presented in the flow of wireless data service, Lead to that the network capacity pressure of original Cellular Networks is huge and costly, speed is slow, on the other hand, user is to different business Demand for services is also more and more diversified, and different network access techniques is in power system capacity, coverage area, data rate, mobility Tenability, rate etc. respectively have length, are only unable to satisfy above-mentioned all users to industry by the transmission network of monotechnics The demand of business, it is therefore desirable to the demand of multiplicity of subscriber is realized by the fusion of a variety of Radio Access Networks.Cellular Networks covering Range is wide, quality of service is secure, but transmission bandwidth is limited, and WLAN have it is at low cost, coverage area is small, and transmission bandwidth is high Feature, two networks can covering, quality of service, bandwidth and in terms of realize complementary, Cellular Networks and wlan network Fusion faster, more flexible mobile data services can be provided for user.
In order to promote the power system capacity and quality of service of Cellular Networks and WLAN converged network, optimizes and wirelessly provided in heterogeneous network The utilization rate in source needs to realize the coordination to different radio access network, each net of overall thinking from the angle of the system overall situation The radio resource of network forms, and the access between heterogeneous networks can be carried out according to Network status, service feature and the preference of user Selection and control.
It is divided from decision mode, there are mainly two types of the decision modes of heterogeneous network access at present:
Network assistance terminal side decision: to terminal side decision mode, the attribute of one side network level needs to pass through signaling Interaction obtains, and increases the overhead in decision process;The attribute that another aspect terminal side decision considers is than relatively limited, to net The not global understanding of the information of network side, therefore affect to the accuracy of decision;
Terminal assists network side decision: to network side decision mode, the service request that all terminal sides are initiated is required Network side carries out decision, and terminal need not can all request network to carry out decision with decision completely under the scene of part, and which can drop The access efficiency of low whole network increases the load of core net.
It is divided from decision making algorithm algorithm, there are mainly three types of the decision making algorithms of heterogeneous network access at present: being determined based on more attributes Access selection strategy, the access selection strategy based on fuzzy theory and the access selection strategy based on utility function of plan.But this A little heterogeneous networks access decision making algorithm, on the one hand most access selection strategy unilateral ground dependant part decision parameters, such as network state Parameter, do not consider the characteristic of actual application scenarios, the preference of user, the feature of business and network comprehensively, cause to access Trade-off decision result is not necessarily most suitable for the network of user.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of, and the heterogeneous network based on classification combines connection control method, real Show customer service energy adaptive access to most suitable network, the efficient utilization of guarantee heterogeneous network resource.
The technical solution adopted by the present invention to solve the technical problems is: providing a kind of heterogeneous network based on classification and combines and connects Access control method, terminal and network side have access network selection judging module, comprising the following steps:
(1) the wireless interface management module of terminal measures and obtains each interface status information of terminal, and according to signal strength Form the first candidate network list;
(2) when user passes through terminal originating service access request, triggering terminal access selection judgement process: the net of terminal Network selects judging module to collect decision parameter to each adaptation module of terminal;The network selection judging module of terminal is waited according to first The information for selecting each adaptation module of network list and terminal, is made decisions by level-one judging process;And court verdict is issued To access/switching executing module;
(3) access/switching executing module does following processing according to court verdict: when court verdict accesses for refusal, then holding Row module directly refuses the service access;When court verdict is UMTS network or wlan network, then to corresponding wireless network Shen It resource and please access;Court verdict is UMTS network and wlan network is active block, then triggers two grade network selection judgement;
(4) after two grade network selection judgement triggering, the network of network side selects judging module to receive to each module of network side Collection business, the decision parameter of user and network resource status, while the second candidate is formed by Internet resources and state management module Network list;
(5) the network selection judging module of network side is according to each network radio resources status information, business detail parameters, use Family information and the second candidate network list, the comprehensive weight of each parameter is obtained using dynamic complex Weight algorithm, passes through effectiveness letter Number rules out optimal network, and court verdict is issued to the access switching executing module of terminal;
(6) access/switching executing module of terminal to corresponding wireless network application resource and is accessed according to court verdict.
Level-one judging process is as follows in the step (2): when the first candidate network list is no network, refusal access; Determine to access single overlay network when the first candidate network list is single network;When the first candidate network list is Multi net voting Judge whether movement speed is more than threshold value when the area of coverage, if it exceeds threshold value then determines to access UMTS network, otherwise to industry Service type is determined;UMTS network is accessed when type of service is pure voice service, when type of service is clear data business Wlan network is accessed, when type of service is composite services, user preference is determined;When user preference is UMTS network UMTS network is accessed, accesses wlan network when user preference is wlan network, when user is without preference, triggering two grade network choosing Select judgement.
The comprehensive weight of each parameter in the step (5) constructs multistage AHP hierarchical model, with UMTS in the hierarchical model Network and wlan network constitute solution layer, are constituted standard with algorithm parameter QoS, network load, network safety grade and network price Then layer is constituted sub- rule layer with parameter time delay, message transmission rate, packet loss, the bit error rate, with session service, Streaming Media class Business, interaction service, background class traffic constitute type of service layer, to select optimal network to be constituted destination layer, sub- rule layer Each attribute is under the jurisdiction of algorithm parameter QoS;Subjective power is sought to each network attribute according to user preference strategy and type of service Weight, the objective weight of each network attribute parameter, the mode combined finally by subjective and objective weight are sought using information entropy theory Acquire comprehensive weight, wherein each network attribute parameter includes bearing for time delay, message transmission rate, packet loss, the bit error rate, network Load, network safety grade and network price.
It is described subjectivity weight calculation method it is as follows: according to the construction of AHP hierarchical model determine rule layer judgement matrix and Sub- rule layer adjudicates matrix;According to Importance of Attributes compare value table to rule layer adjudicate matrix and sub- rule layer adjudicate matrix into Row assignment;Matrix disposal is carried out according to algorithmic formula, and seeks weight with root method, removal inclusion relation obtains subjective weight.
The comprehensive weight wAlways=wVisitor·h+wIt is main(1-h), 0 < h < 1, wherein wVisitorFor objective weight, wIt is mainFor subjectivity power Weight, h 0.5.
Beneficial effect
Due to the adoption of the above technical solution, compared with prior art, the present invention having the following advantages that and actively imitating Fruit: terminal and network side all have access decision function in the present invention, and terminal side is according to wireless network signal strength, user's network selection Preference, type of service, movement speed etc. be simple or single condition carries out the judgement and selection of level-one access network, level-one judgement at It is just directly accessed after function, the second level judgement of network side, network is just carried out when only judgement does not obtain Suitable results in terminal side Side second level judgement in consider network delay, message transmission rate, packet loss, the bit error rate, network load, network safety grade and The attributes such as network price calculate network utility using Information Entropy, the comprehensive subjective and objective weight of improved AHP analytic approach and carry out two Grade access network decision.The access control mechanism of the classification improves the flexibility of decision, reduce in decision process terminal and The information exchange of network side improves the efficiency of whole system access judgement, reduces the load of core net, while the decision of two-stage is calculated Service feature, network state and user preference have been fully considered in method, ensure that the suitable network of user traffic access, sufficiently benefit Lower admission reject rate with radio resource.
Detailed description of the invention
Fig. 1 is Cellular Networks and WLAN fusion architecture schematic diagram;
Fig. 2 is the selection of access classes network and controls total module flow graph;
Fig. 3 is terminal side level-one access network judgement flow chart;
Fig. 4 is network side second level access network judgement flow chart;
Fig. 5 is improved AHP hierarchical model figure;
Fig. 6 is the flow chart for seeking subjective weight;
Fig. 7 is cell network environment schematic diagram in embodiment;
Fig. 8 is primary judgement Access Algorithm validity in embodiment;
Fig. 9 is whole network throughput performance comparison diagram;
Figure 10 is entire converged network admission rate performance comparison figure.
Specific embodiment
Present invention will be further explained below with reference to specific examples.It should be understood that these embodiments are merely to illustrate the present invention Rather than it limits the scope of the invention.In addition, it should also be understood that, after reading the content taught by the present invention, those skilled in the art Member can make various changes or modifications the present invention, and such equivalent forms equally fall within the application the appended claims and limited Range.
Embodiments of the present invention are related to a kind of heterogeneous network joint connection control method based on classification, are based on such as Fig. 1 Shown in Cellular Networks and WLAN fusion architecture, but be not limited only to this framework.The converged network framework be based on PCC framework, Cellular Networks and WLAN net are merged in the side GGSN.
Terminal and network side in the present invention have access selection judging module, and primary access selection judging module is located at eventually End side, advanced access selection judging module are located at network side.Entire access network selection procedures are the first Network adaptations by terminal The network selection judging module that module collection user preference information, network state information, type of service are sent to terminal carries out just Grade judgement fails to select specific network, then the advanced judgement more refined again by network side, finally if terminal judgement is completed Optimal network is ruled out, issues decision information to terminal.Total module flow graph is as shown in Figure 2.
(1) the wireless interface management module of terminal measures and obtains each interface status information of terminal, and according to signal strength Form the first candidate network list;
(2) when user passes through terminal originating service access request, triggering terminal access selection judgement process: the net of terminal Network selects judging module to collect decision parameter to each adaptation module of terminal;The network selection judging module of terminal is waited according to first The information for selecting each adaptation module of network list and terminal, is made decisions by level-one judging process;And court verdict is issued To access/switching executing module;
(3) access/switching executing module does following processing according to court verdict: when court verdict accesses for refusal, then holding Row module directly refuses the service access;When court verdict is UMTS network or wlan network, then to corresponding wireless network Shen It resource and please access;Court verdict is UMTS network and wlan network is active block, then triggers two grade network selection judgement;
(4) after two grade network selection judgement triggering, the network of network side selects judging module to receive to each module of network side Collection business, the decision parameter of user and network resource status, while the second candidate is formed by Internet resources and state management module Network list;
(5) the network selection judging module of network side is according to each network radio resources status information, business detail parameters, use Family information and the second candidate network list, the comprehensive weight of each parameter is obtained using dynamic complex Weight algorithm, passes through effectiveness letter Number rules out optimal network, and court verdict is issued to the access switching executing module of terminal;
(6) access/switching executing module of terminal to corresponding wireless network application resource and is accessed according to court verdict.
Level-one adjudicates specific implementation process:
Level-one access network selection and judging process are realized in terminal side.
Terminal wireless interface administration module carries out the state measurement of interface, is formed according to the signal strength of various wireless interfaces Candidate network list is supplied to network selection judging module and carries out the selection of access network and judgement.
The network of terminal side selects judging module, can according to candidate network list, the movement speed of terminal, type of service, The information of user preference network, the judgement of access network is carried out using level-one decision algorithm process, and court verdict is handed down to Access/switching executing module.The algorithm flow that level-one accesses network judgement is as shown in Figure 3.When the first candidate network list is nothing When network, refusal access;Determine to access single overlay network when the first candidate network list is single network;As the first candidate Network list judges whether movement speed is more than threshold value when being the Multi net voting area of coverage, if it exceeds threshold value then determines to access Otherwise UMTS network determines type of service;UMTS network is accessed when type of service is pure voice service, works as service class Type accesses wlan network when being clear data business, when type of service is composite services, determines user preference;Work as user Preference accesses UMTS network when being UMTS network, wlan network is accessed when user preference is wlan network, when user is without preference When, triggering two grade network selection judgement.
Second level adjudicates specific implementation process:
Second level access network selection and judging process are realized in network side Joint admission control module.
After terminal side level-one, which is adjudicated, terminates and trigger two grade network selection judgement, it is detailed that network side first has to carry out business The collection of information, user information, Internet resources and status information, and be according to Internet resources and state, the detail parameters of business Ensure quality of service qos parameter requirement, to determine candidate network list, be issued to network selection judging module (second level) come into Row access network selection and judgement.
Network selects judging module (second level) to be arranged according to each network radio resources status information, user information and candidate network Table obtains the comprehensive weight of each parameter using dynamic complex Weight algorithm, rules out optimal network by utility function, and will sentence Certainly result is issued to the access switching executing module of terminal.For the comprehensive weight of each parameter, first with AHP layers improved Fractional analysis constructs multilevel hierarchy model, is then carried out according to user preference strategy and type of service to each network attribute subjective Power is assigned, the objective weight of each network attribute parameter is secondly sought using information entropy theory, is combined finally by subjective and objective weight Mode acquire comprehensive weight, each network attribute parameter include for time delay, message transmission rate, packet loss, the bit error rate, network it is negative Load, network safety grade and network price.
Network side second level access network judgement process is illustrated in fig. 4 shown below.
In Fig. 4, the acquisition of subjective and objective comprehensive weight and network utility calculation method are as follows:
(1) subjective weight is sought
Multilevel hierarchy model is constructed by AHP analytic hierarchy process (AHP) after improving, then according to user preference strategy and service class Type carries out subjective weights to each network attribute index.As shown in figure 5, in the hierarchical model of AHP analytic hierarchy process (AHP), with UMTS net Network and wlan network constitute solution layer, are constituted criterion with algorithm parameter QoS, network load, network safety grade and network price Layer, is constituted sub- rule layer with parameter time delay, message transmission rate, packet loss, the bit error rate, with session service, Streaming Media class industry Business, interaction service, background class traffic constitute type of service layer, to select optimal network to be constituted destination layer, sub- rule layer it is each Attribute is under the jurisdiction of algorithm parameter QoS.
Subjective weight calculation process is as shown in Figure 6.Rule layer judgement matrix and son are determined according to the construction of AHP hierarchical model Rule layer adjudicates matrix;Value table is compared according to Importance of Attributes, and matrix and the judgement matrix progress of sub- rule layer are adjudicated to rule layer Assignment;Matrix disposal is carried out according to algorithmic formula, and seeks weight with root method, removal inclusion relation obtains subjective weight.
(2) objective weight is sought
The calculating of objective weight is that each attribute objective weight is found out using information entropy theory, and the attribute that attribute considers is still Time delay, message transmission rate, packet loss, the bit error rate, network load, network safety grade and network price, calculation method are The prior art (referring to Zhang Peng, Huang Kaizhi, the heterogeneous wireless network selection algorithm [J] based on combining weights, system engineering and electronics Technology, 2009 (10))
(3) subjective and objective comprehensive weight
Comprehensive weight wAlways=wVisitor·h+wIt is main(1-h), 0 < h < 1, wherein wVisitorFor objective weight, wIt is mainFor subjective weight, h It is 0.5.
Comprehensive weight matrix WIt is comprehensive=[wT wθ wα wB wβ ws wR], wherein wTFor time delay weight, wθSpeed is transmitted for data Rate weight, wαFor packet loss weight, wBFor bit error rate weight, wβFor network load weight, wsFor network safety grade weight, wRFor Network price weight.
(4) calculating of network utility
Criteria decision matrix M is as follows:
It is as follows to define network utility function V:
Wherein i indicates i-th of network;
The size that candidate network sorts according to network utility value, sorts from large to small, the maximum network of network utility value is Access the network of selection.
The present invention is further illustrated by taking the isomery converged wireless network that WCDMA network and wlan network form as an example below.
Network environment shown in Fig. 7 by a base station WCDMA and two WLAN access points (respectively 802.11a and 802.11b) form.The detail parameters of the base station WCDMA and WLAN access point are as shown in table 1.
1 base station of table and access point parameters
In order to completely investigate the performance of this method, according to user traffic access efficiency and wireless network resource utilization rate two Angle is provided with two scenes: multi-user's random attribute accesses scene and multi-user's random traffic accesses scene.
(1) multi-user's random attribute accesses scene
Scene, the attributes such as position, movement speed, the user preference of multiple terminal users are accessed for multi-user's random attribute It is random.As shown in fig. 7,100 users random distribution, movement speed of each user in the range of radius is 150m exist It is randomly selected between [1-15] m/s, and it is threshold value that 10m/s (comprising 10m/s), which is arranged, i.e. user moving speed is greater than 10m/s, uses Family preferentially selects 3G network, and the network preference of each user randomly selects between [3G network, WLAN, without preference].
Based on the setting of above customer service and network parameter, the heterogeneous network access classes control proposed using this patent Making mechanism carries out the judgement of access network to the user of multiple random distribution, adjudicates successful ratio such as Fig. 8 through terminal side primary It is shown.
As it can be observed in the picture that primary judgement Access Algorithm can handle 70% or so user's access request, the processing of most low energy 48% or so user's access request, it is seen that primary judgement Access Algorithm can effectively carry out user's access request primary herein Processing promotes terminal device utilization rate and reduces core net load simultaneously, improves whole judgement efficiency.
(2) multi-user's random traffic accesses scene
Scene accessed for multi-user's random traffic, the access service types of multiple terminal users and business it is lasting when Between be random.Concrete scene is provided that multiple users are in tri- wireless network overlappings of WCDMA, WLAN1 and WLAN2 and cover Cover area, it is assumed that each user only uses a random traffic, and different service types are by the different Poisson point of mean value in table 2 Cloth reaches at random, and the duration of business continues according to the different exponential distribution of mean value.
Business agent Service generation The business duration
Video calling (conversation class) The Poisson distribution of mean value λ=6 The exponential distribution that mean value is 48
Online request (class media class) The Poisson distribution of mean value λ=15 The exponential distribution that mean value is 100
Web page browsing (interactive class) The Poisson distribution of mean value λ=8 The exponential distribution that mean value is 61
Mail transmission/reception (background class) The Poisson distribution of mean value λ=4 The exponential distribution that mean value is 23
2 random traffic attribute list of table
Each network attribute Parameters variation is as shown in table 3:
Candidate network Time delay The bit error rate Packet loss Data rate Security level Price
3G [8,12] 0.01% 0.5% [1.5,2] 9 1.5
WLAN1 [27,32] 0.003% 0.3% [20,28] 6 0.9
WLAN2 [22,26] 0.005% 0.2% [8,12] 7 0.7
Each network parameter setting in 3 random access procedure of table
Based on the setting of above customer service and network parameter, control machine is accessed using the heterogeneous network that this patent proposes System, compared with using the access control mechanism of traditional AHP algorithm, the throughput performance and user admission rate of entire heterogeneous network are such as Shown in Fig. 9 and Figure 10.
From Fig. 9 and Figure 10 as can be seen that when whole network access customer number is less, two kinds of different disposal mechanism is gulped down The amount of spitting and admission rate are substantially the same, but with the increase of accessing user's business, the mechanism of this patent use is in whole network Handling capacity and admission rate on to be substantially better than the access control mechanism of traditional AHP.This mechanism for illustrating this patent can be well According to the variation of type of service and each attribute objective circumstances of network, select most suitable wireless network for service access, it is whole Wireless network resource obtains an equitable breakdown, and the business number that whole heterogeneous wireless network is accommodated is more, thus entire isomery The handling capacity of converged wireless network also just increases.

Claims (4)

1. a kind of heterogeneous network based on classification combines connection control method, which is characterized in that terminal and network side have access net Network selects judging module, comprising the following steps:
(1) the wireless interface management module of terminal measures and obtains each interface status information of terminal, and is formed according to signal strength First candidate network list;
(2) when user passes through terminal originating service access request, triggering terminal access selection judgement process: the network choosing of terminal It selects judging module and collects decision parameter to each adaptation module of terminal;The network selection judging module of terminal is according to the first candidate net The information of each adaptation module of network list and terminal, is made decisions by level-one judging process;And court verdict is issued to and is connect Enter/switching executing module;
(3) access/switching executing module does following processing according to court verdict: when court verdict accesses for refusal, then executing mould Block directly refuses the service access;When court verdict is UMTS network or wlan network, then provided to corresponding wireless network application Source is simultaneously accessed;Court verdict is UMTS network and wlan network is active block, then triggers two grade network selection judgement;
(4) after two grade network selection judgement triggering, the network of network side selects each module collection industry of the judging module to network side It is engaged in, the decision parameter of user and network resource status, while the second candidate network is formed by Internet resources and state management module List;
(5) the network selection judging module of network side is according to each network radio resources status information, business detail parameters, Yong Huxin Breath and the second candidate network list, the comprehensive weight of each parameter is obtained using dynamic complex Weight algorithm, is sentenced by utility function Optimal network has been decided, and court verdict is issued to the access switching executing module of terminal;Wherein, the comprehensive weight of each parameter, Construct multistage AHP hierarchical model, solution layer constituted with UMTS network and wlan network in the hierarchical model, with algorithm parameter QoS, Network load, network safety grade and network price constitute rule layer, with parameter time delay, message transmission rate, packet loss, error code Rate constitutes sub- rule layer, is constituted type of service layer with session service, Streaming Media class business, interaction service, background class traffic, To select optimal network to be constituted destination layer, each attribute of sub- rule layer is under the jurisdiction of algorithm parameter QoS;According to user preference strategy Subjective weight is sought to each network attribute with type of service, the objective power of each network attribute parameter is sought using information entropy theory Weight, acquire comprehensive weight finally by the mode that subjective and objective weight combines, wherein each network attribute parameter include for time delay, Message transmission rate, packet loss, the bit error rate, network load, network safety grade and network price;
(6) access/switching executing module of terminal to corresponding wireless network application resource and is accessed according to court verdict.
2. the heterogeneous network according to claim 1 based on classification combines connection control method, which is characterized in that the step (2) level-one judging process is as follows in: when the first candidate network list is no network, refusal access;When the first candidate network arranges Determine to access single overlay network when table is single network;The judgement movement when the first candidate network list is the Multi net voting area of coverage Whether speed is more than threshold value, if it exceeds threshold value then determines to access UMTS network, is otherwise determined type of service;When Type of service accesses UMTS network when being pure voice service, accesses wlan network when type of service is clear data business, works as industry When service type is composite services, user preference is determined;When user preference be UMTS network when access UMTS network, when with Family preference accesses wlan network when being wlan network, when user is without preference, triggering two grade network selection judgement.
3. the heterogeneous network according to claim 1 based on classification combines connection control method, which is characterized in that the subjectivity The calculation method of weight is as follows: determining that rule layer judgement matrix and sub- rule layer adjudicate matrix according to the construction of AHP hierarchical model; Value table is compared according to Importance of Attributes, and matrix and sub- rule layer judgement matrix progress assignment are adjudicated to rule layer;It carries out at matrix Reason, and weight is sought with root method, removal inclusion relation obtains subjective weight.
4. the heterogeneous network according to claim 1 based on classification combines connection control method, which is characterized in that the synthesis Weight wAlways=wVisitor·h+wIt is main(1-h), 0 < h < 1, wherein wVisitorFor objective weight, wIt is mainFor subjective weight, h 0.5.
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EP3032875A1 (en) * 2014-12-08 2016-06-15 Alcatel Lucent Dynamic service quality management in a heterogeneous wireless network
CN107018070A (en) * 2016-01-28 2017-08-04 南水北调中线干线工程建设管理局 A kind of isomery multimode gateway equipment and its transmission method and application
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CN108419274B (en) * 2018-02-28 2020-07-28 华南理工大学 Heterogeneous wireless network selection method based on utility function
CN108880754B (en) * 2018-06-25 2020-04-10 西安电子科技大学 Low-delay signaling and data wireless transmission method based on hierarchical redundancy mechanism
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CN115119192B (en) * 2021-03-19 2023-06-16 中国联合网络通信集团有限公司 Network access method and device
CN113115411B (en) * 2021-03-31 2022-05-24 华南理工大学 Heterogeneous wireless network selection method based on cooperative theory
CN114339759A (en) * 2022-01-10 2022-04-12 重庆邮电大学 High-reliability-based network screening method aiming at group switching
CN114363996B (en) * 2022-01-19 2022-08-26 东北电力大学 Heterogeneous wireless network service access control method and device based on multiple targets
CN115175274A (en) * 2022-07-13 2022-10-11 国网山西省电力公司信息通信分公司 Intelligent power distribution-oriented 5G heterogeneous wireless network access selection method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060063624A (en) * 2004-12-07 2006-06-12 한국전자통신연구원 Access network selection method using multi-criteria decision making in mobile heterogeneous network
CN101321385A (en) * 2007-12-29 2008-12-10 北京邮电大学 Cooperation resource management method and system in heterogeneous wireless network
CN101873638A (en) * 2010-07-15 2010-10-27 吉林大学 Heterogeneous wireless network access selection method based on fuzzy neural network
CN102595559A (en) * 2011-01-11 2012-07-18 中兴通讯股份有限公司 Access method and access device in heterogeneous network
CN102802223A (en) * 2012-08-10 2012-11-28 迈普通信技术股份有限公司 Vertical switching method of wireless heterogeneous networks and user terminal
CN102984760A (en) * 2012-11-22 2013-03-20 北京邮电大学 Method for deciding vertical handoff among heterogeneous wireless networks

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060063624A (en) * 2004-12-07 2006-06-12 한국전자통신연구원 Access network selection method using multi-criteria decision making in mobile heterogeneous network
CN101321385A (en) * 2007-12-29 2008-12-10 北京邮电大学 Cooperation resource management method and system in heterogeneous wireless network
CN101873638A (en) * 2010-07-15 2010-10-27 吉林大学 Heterogeneous wireless network access selection method based on fuzzy neural network
CN102595559A (en) * 2011-01-11 2012-07-18 中兴通讯股份有限公司 Access method and access device in heterogeneous network
CN102802223A (en) * 2012-08-10 2012-11-28 迈普通信技术股份有限公司 Vertical switching method of wireless heterogeneous networks and user terminal
CN102984760A (en) * 2012-11-22 2013-03-20 北京邮电大学 Method for deciding vertical handoff among heterogeneous wireless networks

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