CN104185248A - Hierarchy-based heterogeneous network joint access control method - Google Patents
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Abstract
The invention relates to a hierarchy-based heterogeneous network joint access control method. A terminal and a network side both have an access judgment function; the terminal carries out judgment and selection on first-level access networks according to simple or single condition of wireless network signal intensity, user network-selecting preference, service type and movement speed and the like; and only when the judgment cannot be carried out through the simple condition, the network side carries out judgment on second-level access networks, that is, according to the information of position where the terminal locates, and by utilizing an entropy evaluation method and an improved AHP analysis method, network utility is comprehensively calculated, and a network, of which the utility is the largest, is selected to notify the terminal to carry out service access, thereby realizing load balance of terminal service being accessed to the appropriate network and heterogeneous network. The method not only can improve the whole system access judgment efficiency, thereby reducing load of a core network, but also can guarantee customer service to be accessed to the appropriate network, thereby fully utilizing radio resources and reducing access reject rate.
Description
Technical field
The present invention relates to Cellular Networks in areas of information technology and the UNE technology of WLAN, particularly relate to a kind of heterogeneous network associating connection control method based on classification.
Background technology
In recent years, along with intelligent multimode terminal develop rapidly, the flow of wireless data service presents explosive growth, cause the network capacity pressure of original Cellular Networks huge, and expense is high, speed is slow, on the other hand, user is also more and more diversified to the demand for services of different business, different network access techniques are in power system capacity, coverage, data rate, mobility support ability, respectively there is length the aspects such as rate, only depend on the transmission network of monotechnics cannot meet the demand of above-mentioned all users to business, therefore need to realize by the fusion of multiple Radio Access Network the demand of multiplicity of subscriber.Cellular Networks wide coverage, quality of service are secure, but transmission bandwidth is limited, and that WLAN has cost is low, coverage is little, the feature that transmission bandwidth is high, two networks can be realized at aspects such as covering, quality of service, bandwidth and rate complementary, and the fusion of Cellular Networks and wlan network can provide faster, mobile data services more flexibly for user.
In order to promote power system capacity and the quality of service of Cellular Networks and WLAN UNE, optimize the utilance of Radio Resource in heterogeneous network, need to realize the coordination to different radio access network from the angle of the system overall situation, the Radio Resource of each network of overall thinking forms, and the access that can carry out between heterogeneous networks according to network condition, service feature and user's preference is selected and controls.
From decision mode, divide, the decision mode of heterogeneous network access at present mainly contains two kinds:
Network assistance end side decision-making: to end side decision mode, the attribute of network level need to obtain by Signalling exchange on the one hand, has increased the overhead in decision process; The attribute that end side decision-making is considered is on the other hand more limited, and the information of network side is not had to overall understanding, therefore the accuracy of decision-making is affected;
Terminal auxiliary network side decision-making: to network side decision mode, the service request that all end side are initiated all needs to carry out decision-making to network side, and under part scene, terminal completely can decision-making, need not all ask network to carry out decision-making, which can reduce the access efficiency of whole network, increases the load of core net.
From decision making algorithm algorithm, divide, heterogeneous network access decision making algorithm mainly contains three kinds at present: the access selection strategy based on multiple attribute decision making (MADM), the access selection strategy based on fuzzy theory and the access selection strategy based on utility function.But these heterogeneous network access decision making algorithms, majority accesses unilateral ground of selection strategy dependant part decision parameter on the one hand, as the parameter of network state, there is no to consider actual application scenarios, user's preference, the characteristic of the feature of business and network comprehensively, cause access trade-off decision result might not be best suited for user's network.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of heterogeneous network associating connection control method based on classification, realizes customer service energy adaptive access to the efficient utilization of most suitable network, assurance heterogeneous network resource.
The technical solution adopted for the present invention to solve the technical problems is: a kind of heterogeneous network associating connection control method based on classification is provided, and terminal and network side all have access network to select judging module, comprise the following steps:
(1) each interface status information of terminal is measured and obtained to the wave point administration module of terminal, and form the first candidate network list according to signal strength signal intensity;
(2) when user passes through terminal originating service access request, judgement flow process is selected in triggering terminal access: the network of terminal selects judging module to each adaptation module collection decision parameter of terminal; The network of terminal selects judging module according to the information of each adaptation module of the first candidate network list and terminal, by one-level judging process, adjudicates; And court verdict is issued to access/switching executing module;
(3) access/switching executing module is done following processing according to court verdict: when court verdict accesses for refusal, Executive Module is directly refused this service access; When court verdict is UMTS network or wlan network, to corresponding wireless network application resource access; Court verdict is that UMTS network and wlan network are active block, triggers two grade network and selects judgement;
(4), after two grade network selects judgement to trigger, the network of network side selects judging module to each module of network side, to collect the decision parameter of business, user and network resource status, forms the second candidate network list by Internet resources and state management module simultaneously;
(5) network of network side selects judging module according to each network radio resources state information, business detail parameters, user profile and the second candidate network list, utilize dynamic complex Weight algorithm to obtain the comprehensive weight of each parameter, by utility function, rule out optimal network, and court verdict is issued to the access switching executing module of terminal;
(6) access/switching executing module of terminal also accesses to corresponding wireless network application resource according to court verdict.
One-level judging process is as follows in described step (2): when the first candidate network list be during without network, refusal accesses; When being single network, the first candidate network list judges the single overlay network of access; When the first candidate network list is many network coverage area, judge whether translational speed surpasses threshold value, if surpass threshold value, judge access UMTS network, otherwise type of service is judged; When type of service is pure speech business, access UMTS network, when type of service is clear data business, access wlan network, when type of service is composite services, user preference is judged; When user preference is UMTS network, access UMTS network, when user preference is wlan network, access wlan network, when user is during without preference, trigger two grade network and select judgement.
The comprehensive weight of each parameter in described step (5), build multistage AHP hierarchical model, in this hierarchical model, with UMTS network and wlan network, form solution layer, with algorithm parameter QoS, offered load, network safety grade and network price, form rule layer, with parameter time delay, message transmission rate, packet loss, the error rate, form sub-rule layer, with session service, Streaming Media class business, interaction service, background class traffic, form type of service layer, to select optimal network to form destination layer, each attribute of sub-rule layer is all under the jurisdiction of algorithm parameter QoS; According to user preference strategy and type of service, each network attribute is asked for to subjective weight, utilize information entropy theory to ask for the objective weight of each network attribute parameter, the mode finally combining by subjective and objective weight is tried to achieve comprehensive weight, wherein, each network attribute parameter is included as time delay, message transmission rate, packet loss, the error rate, offered load, network safety grade and network price.
The computational methods of described subjective weight are as follows: according to the structure of AHP hierarchical model, determine rule layer judgement matrix and sub-rule layer judgement matrix; According to Importance of Attributes contrast value table, rule layer judgement matrix and sub-rule layer judgement matrix are carried out to assignment; According to algorithmic formula, carry out matrix disposal, and ask weight by root method, remove inclusion relation and draw subjective weight.
Described comprehensive weight w
always=w
visitorh+w
main(1-h), 0 < h < 1, wherein, w
visitorfor objective weight, w
mainfor subjective weight, h is 0.5.
Beneficial effect
Owing to having adopted above-mentioned technical scheme, the present invention compared with prior art, there is following advantage and good effect: in the present invention, terminal and network side all possess access decision function, end side is according to wireless network signal strength, user's network selection preference, type of service, simple or the single condition such as translational speed is carried out judgement and the selection of one-level access network, just directly access after one-level is adjudicated successfully, only when not drawing suitable result, end side judgement just carries out the secondary judgement of network side, in the judgement of network side secondary, considered network delay, message transmission rate, packet loss, the error rate, offered load, the attribute such as network safety grade and network price, utilize Information Entropy, the comprehensive subjective and objective weight of improved AHP analytic approach is carried out computing network effectiveness and is carried out the decision-making of secondary access network.The access control mechanism of this classification has promoted the flexibility of decision-making, reduced the information interaction of terminal and network side in decision process, improve the efficiency of whole system access judgement, reduce the load of core net, in the decision making algorithm of two-stage, service feature, network state and user preference have been taken into full account simultaneously, guaranteed the network that user traffic access is suitable, made full use of Radio Resource and lower admission reject rate.
Accompanying drawing explanation
Fig. 1 is Cellular Networks and WLAN fusion architecture schematic diagram;
Fig. 2 is that total module flow graph is selected and controlled to access classes network;
Fig. 3 is end side one-level access network judgement flow chart;
Fig. 4 is network side secondary access network judgement flow chart;
Fig. 5 is the AHP hierarchical model figure after improving;
Fig. 6 is the flow chart of asking subjective weight;
Fig. 7 is embodiment small area network environment schematic diagram;
Fig. 8 is elementary judgement Access Algorithm validity in embodiment;
Fig. 9 is whole network throughput performance comparison figure;
Figure 10 is whole UNE admission rate performance comparison figure.
Embodiment
Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiment are only not used in and limit the scope of the invention for the present invention is described.In addition should be understood that those skilled in the art can make various changes or modifications the present invention after having read the content of the present invention's instruction, these equivalent form of values fall within the application's appended claims limited range equally.
Embodiments of the present invention relate to a kind of heterogeneous network based on classification associating connection control method, are Cellular Networks based on as shown in Figure 1 and the fusion architecture of WLAN, but are not limited only to this framework.This UNE framework is based on PCC framework, and Cellular Networks and WLAN net merge in GGSN side.
Terminal in the present invention and network side all have access to select judging module, and elementary access selects judging module to be positioned at end side, and senior access selects judging module to be positioned at network side.Whole access network selection course is first by the network adaptation module of terminal, to collect user preference information, network state information, type of service to send to the network of terminal to select judging module to carry out elementary judgement, if terminal has been adjudicated, fail to select concrete network, by network side, carried out again the senior judgement of more refinement, conclusive judgement goes out optimal network, issues decision information to terminal.Total module flow graph as shown in Figure 2.
(1) each interface status information of terminal is measured and obtained to the wave point administration module of terminal, and form the first candidate network list according to signal strength signal intensity;
(2) when user passes through terminal originating service access request, judgement flow process is selected in triggering terminal access: the network of terminal selects judging module to each adaptation module collection decision parameter of terminal; The network of terminal selects judging module according to the information of each adaptation module of the first candidate network list and terminal, by one-level judging process, adjudicates; And court verdict is issued to access/switching executing module;
(3) access/switching executing module is done following processing according to court verdict: when court verdict accesses for refusal, Executive Module is directly refused this service access; When court verdict is UMTS network or wlan network, to corresponding wireless network application resource access; Court verdict is that UMTS network and wlan network are active block, triggers two grade network and selects judgement;
(4), after two grade network selects judgement to trigger, the network of network side selects judging module to each module of network side, to collect the decision parameter of business, user and network resource status, forms the second candidate network list by Internet resources and state management module simultaneously;
(5) network of network side selects judging module according to each network radio resources state information, business detail parameters, user profile and the second candidate network list, utilize dynamic complex Weight algorithm to obtain the comprehensive weight of each parameter, by utility function, rule out optimal network, and court verdict is issued to the access switching executing module of terminal;
(6) access/switching executing module of terminal also accesses to corresponding wireless network application resource according to court verdict.
One-level judgement specific implementation process:
For the selection of one-level access network and judging process, in end side, realize.
Terminal wireless interface management module is carried out the state measurement of interface, offers network select judging module to carry out access network selection and judgement according to the signal strength signal intensity formation candidate network list of various wave points.
The network of end side is selected judging module, can be according to the information of the translational speed of candidate network list, terminal, type of service, user preference network, utilize one-level decision algorithm flow process to carry out the judgement of access network, and court verdict is handed down to access/switching executing module.The algorithm flow of one-level access network judgement as shown in Figure 3.When the first candidate network list is during without network, refusal access; When being single network, the first candidate network list judges the single overlay network of access; When the first candidate network list is many network coverage area, judge whether translational speed surpasses threshold value, if surpass threshold value, judge access UMTS network, otherwise type of service is judged; When type of service is pure speech business, access UMTS network, when type of service is clear data business, access wlan network, when type of service is composite services, user preference is judged; When user preference is UMTS network, access UMTS network, when user preference is wlan network, access wlan network, when user is during without preference, trigger two grade network and select judgement.
Secondary judgement specific implementation process:
For the selection of secondary access network and judging process, in network side Joint admission control module, realize.
When the judgement of end side one-level finishes and triggers two grade network and select after judgement, first network side will carry out the collection of business details, user profile, Internet resources and state information, and ensure the qos parameter requirement of quality of service according to the detail parameters of Internet resources and state, business, determine candidate network list, be issued to network and select judging module (secondary) to carry out access network selection and judgement.
Network selects judging module (secondary) according to each network radio resources state information, user profile and candidate network list, utilize dynamic complex Weight algorithm to obtain the comprehensive weight of each parameter, by utility function, rule out optimal network, and court verdict is issued to the access switching executing module of terminal.Comprehensive weight for each parameter, first utilize the AHP analytic hierarchy process (AHP) after improving to build multilevel hierarchy model, then according to user preference strategy and type of service, each network attribute is carried out to subjectivity tax power, next utilizes information entropy theory to ask for the objective weight of each network attribute parameter, the mode finally combining by subjective and objective weight is tried to achieve comprehensive weight, and each network attribute parameter is included as time delay, message transmission rate, packet loss, the error rate, offered load, network safety grade and network price.
Network side secondary access network judgement flow process is illustrated in fig. 4 shown below.
In Fig. 4, obtaining with network utility computational methods of subjective and objective comprehensive weight is as follows:
(1) ask subjective weight
By improving rear AHP analytic hierarchy process (AHP), build multilevel hierarchy model, then according to user preference strategy and type of service, each network attribute index is carried out to subjectivity tax power.As shown in Figure 5, in the hierarchical model of AHP analytic hierarchy process (AHP), with UMTS network and wlan network, form solution layer, with algorithm parameter QoS, offered load, network safety grade and network price, form rule layer, with parameter time delay, message transmission rate, packet loss, the error rate, form sub-rule layer, with session service, Streaming Media class business, interaction service, background class traffic, form type of service layer, to select optimal network to form destination layer, each attribute of sub-rule layer is all under the jurisdiction of algorithm parameter QoS.
Subjective weight calculation flow process as shown in Figure 6.According to the structure of AHP hierarchical model, determine rule layer judgement matrix and sub-rule layer judgement matrix; According to Importance of Attributes contrast value table, rule layer judgement matrix and sub-rule layer judgement matrix are carried out to assignment; According to algorithmic formula, carry out matrix disposal, and ask weight by root method, remove inclusion relation and draw subjective weight.
(2) ask objective weight
The calculating of objective weight is to utilize information entropy theory to obtain each attribute objective weight, the attribute that attribute is considered remains time delay, message transmission rate, packet loss, the error rate, offered load, network safety grade and network price, its computational methods are that prior art is (referring to Zhang Peng, Huang Kaizhi, heterogeneous wireless network selection algorithm [J] based on combining weights, system engineering and electronic technology, 2009 (10))
(3) subjective and objective comprehensive weight
Comprehensive weight w
always=w
visitorh+w
main(1-h), 0 < h < 1, wherein, w
visitorfor objective weight, w
mainfor subjective weight, h is 0.5.
Comprehensive weight matrix W
combine=[w
tw
θw
αw
bw
βw
sw
r], wherein, w
tfor time delay weight, w
θfor message transmission rate weight, w
αfor packet loss weight, w
bfor error rate weight, w
βfor offered load weight, w
sfor network safety grade weight, w
rfor network price weight.
(4) calculating of network utility
M is as follows for standard decision matrix:
V is as follows for define grid utility function:
wherein i represents i network;
Candidate network sequence, according to the size of network utility value, is sorted from big to small, the network that the network of network utility value maximum is selected for access.
The heterogeneous wireless UNE that WCDMA network and wlan network form of take below further illustrates the present invention as example.
Network environment shown in Fig. 7 is comprised of a WCDMA base station and two WLAN access points (being respectively 802.11a and 802.11b).The detail parameters of WCDMA base station and WLAN access point is as shown in table 1.
Table 1 base station and access point parameters
For the performance of complete investigation this method, according to user traffic access efficiency and two angles of wireless network resource utilance, be provided with two scenes: multi-user's random attribute access scene and multi-user's random traffic access scene.
(1) multi-user's random attribute access scene
For multi-user's random attribute access scene, the attributes such as a plurality of terminal uses' position, translational speed, user preference are random.As shown in Figure 7, random distribution in the scope that 100 users are 150m at radius, each user's translational speed is chosen at random between [1-15] m/s, and 10m/s (comprising 10m/s) is set for threshold value, be that user moving speed is greater than 10m/s, user priority is selected 3G network, and each user's network preference is chosen at random between [3G network, WLAN, without preference].
Customer service based on above and the setting of network parameter, the heterogeneous network access classes controlling mechanism that adopts this patent to propose, carries out the judgement of access network to the user of random distribution repeatedly, through the successful ratio of the elementary judgement of end side as shown in Figure 8.
As can be seen from Figure 8, user's access request of the high power treatment of elementary judgement Access Algorithm 70% left and right, low energy is processed user's access request of 48% left and right, the elementary judgement Access Algorithm of visible this paper can carry out primary treatment to user's access request effectively, promote terminal equipment utilance and reduce core net load simultaneously, improve whole judgement efficiency.
(2) multi-user's random traffic access scene
For multi-user's random traffic access scene, a plurality of terminal uses' access service types and the duration of business are random.Concrete scene setting is as follows: a plurality of users are overlapping covered in WCDMA, WLAN1 and tri-wireless networks of WLAN2, suppose that each user only uses a random traffic, and different service types arrives at random by the different Poisson distribution of average in table 2, the duration of business continues according to the different exponential distribution of average.
| Business agent | Business generates | The business duration |
| Video calling (conversation class) | The Poisson distribution of average λ=6 | Average is 48 exponential distribution |
| Online request (class media class) | The Poisson distribution of average λ=15 | Average is 100 exponential distribution |
| Web page browsing (interactive class) | The Poisson distribution of average λ=8 | Average is 61 exponential distribution |
| Mail transmission/reception (background class) | The Poisson distribution of average λ=4 | Average is 23 exponential distribution |
Table 2 random traffic attribute list
Each network attribute parameter changes as shown in table 3:
| Candidate network | Time delay | The error rate | Packet loss | Data rate | Safe class | 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 |
In table 3 random access procedure, each network parameter arranges
Customer service based on above and the setting of network parameter, the heterogeneous network access control mechanism that adopts this patent to propose, compare with adopting the access control mechanism of traditional AHP algorithm, the throughput performance of whole heterogeneous network and user admission rate are as shown in Figure 9 and Figure 10.
From Fig. 9 and Figure 10, can find out, when whole network access user number is less, the throughput of two kinds of different disposal mechanism is the same with admission rate substantially, but along with the increase of access user business, the mechanism that this patent adopts will obviously be better than the access control mechanism of traditional AHP on the throughput of whole network and admission rate.The mechanism of this explanation 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, whole wireless network resource obtains an equitable breakdown, the business number that whole heterogeneous wireless network can be held is more, thereby the throughput of whole heterogeneous wireless UNE has also just increased.
Claims (5)
1. the associating of the heterogeneous network based on a classification connection control method, is characterized in that, terminal and network side all have access network to select judging module, comprise the following steps:
(1) each interface status information of terminal is measured and obtained to the wave point administration module of terminal, and form the first candidate network list according to signal strength signal intensity;
(2) when user passes through terminal originating service access request, judgement flow process is selected in triggering terminal access: the network of terminal selects judging module to each adaptation module collection decision parameter of terminal; The network of terminal selects judging module according to the information of each adaptation module of the first candidate network list and terminal, by one-level judging process, adjudicates; And court verdict is issued to access/switching executing module;
(3) access/switching executing module is done following processing according to court verdict: when court verdict accesses for refusal, Executive Module is directly refused this service access; When court verdict is UMTS network or wlan network, to corresponding wireless network application resource access; Court verdict is that UMTS network and wlan network are active block, triggers two grade network and selects judgement;
(4), after two grade network selects judgement to trigger, the network of network side selects judging module to each module of network side, to collect the decision parameter of business, user and network resource status, forms the second candidate network list by Internet resources and state management module simultaneously;
(5) network of network side selects judging module according to each network radio resources state information, business detail parameters, user profile and the second candidate network list, utilize dynamic complex Weight algorithm to obtain the comprehensive weight of each parameter, by utility function, rule out optimal network, and court verdict is issued to the access switching executing module of terminal;
(6) access/switching executing module of terminal also accesses to corresponding wireless network application resource according to court verdict.
2. heterogeneous network based on classification associating connection control method according to claim 1, is characterized in that, in described step (2), one-level judging process is as follows: when the first candidate network list be during without network, refusal accesses; When being single network, the first candidate network list judges the single overlay network of access; When the first candidate network list is many network coverage area, judge whether translational speed surpasses threshold value, if surpass threshold value, judge access UMTS network, otherwise type of service is judged; When type of service is pure speech business, access UMTS network, when type of service is clear data business, access wlan network, when type of service is composite services, user preference is judged; When user preference is UMTS network, access UMTS network, when user preference is wlan network, access wlan network, when user is during without preference, trigger two grade network and select judgement.
3. the heterogeneous network based on classification according to claim 1 is combined connection control method, it is characterized in that, the comprehensive weight of each parameter in described step (5), build multistage AHP hierarchical model, in this hierarchical model, with UMTS network and wlan network, form solution layer, with algorithm parameter QoS, offered load, network safety grade and network price form rule layer, with parameter time delay, message transmission rate, packet loss, the error rate forms sub-rule layer, with session service, Streaming Media class business, interaction service, background class traffic forms type of service layer, to select optimal network to form destination layer, each attribute of sub-rule layer is all under the jurisdiction of algorithm parameter QoS, according to user preference strategy and type of service, each network attribute is asked for to subjective weight, utilize information entropy theory to ask for the objective weight of each network attribute parameter, the mode finally combining by subjective and objective weight is tried to achieve comprehensive weight, wherein, each network attribute parameter is included as time delay, message transmission rate, packet loss, the error rate, offered load, network safety grade and network price.
4. the heterogeneous network associating connection control method based on classification according to claim 3, is characterized in that, the computational methods of described subjective weight are as follows: according to the structure of AHP hierarchical model, determine rule layer judgement matrix and sub-rule layer judgement matrix; According to Importance of Attributes contrast value table, rule layer judgement matrix and sub-rule layer judgement matrix are carried out to assignment; According to algorithmic formula, carry out matrix disposal, and ask weight by root method, remove inclusion relation and draw subjective weight.
5. the heterogeneous network associating connection control method based on classification according to claim 3, is characterized in that described comprehensive weight w
always=w
visitorh+w
main(1-h), 0 < h < 1, wherein, w
visitorfor objective weight, w
mainfor subjective weight, h is 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 |
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Citations (6)
| 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 |
-
2014
- 2014-02-19 CN CN201410056583.XA patent/CN104185248B/en active Active
Patent Citations (6)
| 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 |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN107071841A (en) * | 2017-03-02 | 2017-08-18 | 重庆邮电大学 | The vertical handoff method optimized in heterogeneous network based on changeable weight |
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| CN107659977B (en) * | 2017-10-27 | 2019-12-10 | 西安电子科技大学 | indoor heterogeneous network access selection method based on VLC |
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| CN108419274A (en) * | 2018-02-28 | 2018-08-17 | 华南理工大学 | A kind of selecting method for isomeric wireless network based on utility function |
| CN108880754A (en) * | 2018-06-25 | 2018-11-23 | 西安电子科技大学 | Low time delay signaling, wireless data transmission method based on classification redundancy scheme |
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| CN111212458A (en) * | 2018-11-21 | 2020-05-29 | 中国电信股份有限公司 | Wireless network access management method and device |
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| CN114339952A (en) * | 2020-09-29 | 2022-04-12 | 紫光展锐(重庆)科技有限公司 | Communication method and communication device for multi-mode terminal |
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