CN104486806B - A kind of heterogeneous network sharing lood method and device based on load-carrying efficiency - Google Patents
A kind of heterogeneous network sharing lood method and device based on load-carrying efficiency Download PDFInfo
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- CN104486806B CN104486806B CN201410650552.7A CN201410650552A CN104486806B CN 104486806 B CN104486806 B CN 104486806B CN 201410650552 A CN201410650552 A CN 201410650552A CN 104486806 B CN104486806 B CN 104486806B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/26—Reselection being triggered by specific parameters by agreed or negotiated communication parameters
- H04W36/28—Reselection being triggered by specific parameters by agreed or negotiated communication parameters involving a plurality of connections, e.g. multi-call or multi-bearer connections
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/18—Selecting a network or a communication service
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Abstract
The present invention relates to wireless communication technology field, there is provided a kind of heterogeneous network sharing lood method and device based on load-carrying efficiency, including：User service information is obtained, service feature parameter is extracted according to user service information；Subscriber channel information is obtained, service speed of the user in each network is calculated according to subscriber channel information；According to the system-level expense of service speed and subscriber channel information calculating customer service in each network of service feature parameter, user in each network；Service speed of the user in each network and the ratio of system-level expense of the user in each network are calculated, obtains load-carrying efficiency of active user's business in each network；Load-carrying efficiency highest network carrying active user's business is selected, realizes the heterogeneous network sharing lood based on load-carrying efficiency, improves total load-carrying efficiency of heterogeneous network, while the present invention performs in base station side, and then improve base station operability.
Description
Technical field
The present invention relates to wireless communication technology field, more particularly to a kind of heterogeneous network sharing lood based on load-carrying efficiency
Method and device.
Background technology
Nowadays, flourishing with moving communicating field, continuing to increase for number of users and continuing to bring out for new business,
Under heterogeneous network environment, there is the problems such as network insertion selection and Vertical Handover in multimode terminal, it is suitable how to be selected for user
Network insertion and provide effectively service, how preferably to carry diversified business, meet user service experience while
Network cost expense is saved, higher requirement is proposed for heterogeneous network bearing method, is the weight of heterogeneous network resource management
Want one of problem.
In process of the present invention is realized, inventor has found that at least there are the following problems in the prior art：
Due to otherness existing for service feature and heterogeneous network, the different service bearer of Client-initiated is in different systems
When among network, the service rate and overhead that network can provide are different, traditional based on single index, such as
Throughput, time delay, the heterogeneous network bearing method of efficiency can not be adapted to various service feature and heterogeneous network feature,
Therefore, it is necessary to be weighed to carrying situation of the multimode terminal in each network, and select suitable index guiding heterogeneous network
Network is that user is serviced.
The content of the invention
(1) technical problems to be solved
The technical problem to be solved in the present invention is：For diversified business, in heterogeneous network environment, propose a kind of simultaneous
Service feature, Consumer's Experience, the heterogeneous network sharing lood method and device of network overhead are cared for, it is total to improve heterogeneous network system level
Load-carrying efficiency.
(2) technical scheme
To solve the above problems, the invention provides a kind of heterogeneous network sharing lood method based on load-carrying efficiency, institute
The method of stating specifically includes：
User service information is obtained, service feature parameter is extracted according to the user service information；
Subscriber channel information is obtained, service speed of the user in each network is calculated according to the subscriber channel information；
According to the service speed and subscriber channel information meter of the service feature parameter, the user in each network
System-level expense of the customer service in each network is calculated, the system-level expense includes：One control channel expense of layer, two groups of layer
Unwrap pin and the RRC signaling expense of layer three；
Calculate service speed of the user in each network and system-level expense of the user in each network
Ratio, obtain load-carrying efficiency of active user's business in each network；
Select load-carrying efficiency highest network carrying active user's business.
Preferably, the service feature parameter includes traffic packets bag size, packet inter-packet gap and business burst interval.
Preferably, the control channel expense of layer one carries out table by the parameter physics uplink/downlink control channel occupancy of layer one
Sign；
Two groups of the layer is unwrapped pin and characterized by the protocol Data Unit middle wrapping head expense of layer two and filling expense；
The RRC signaling expense of layer three is characterized by the radio resource control signaling expense of layer three.
Preferably, it is described specifically to be wrapped according to service speed of the subscriber channel information calculating user in each network
Include：
Receive user and survey the subscriber channel information reported；
Service speed of the user in each network is calculated according to the subscriber channel information.
Preferably, methods described also includes：
Neural metwork training is carried out according to default historical data, each network is obtained and is based on service feature parameter, Yong Hu
The system-level expense neural network model of service speed and subscriber channel information in each network.
Preferably, the service speed and use according to the service feature parameter, the user in each network
Family channel information calculates system-level expense of the customer service in each network, specifically includes：
According to the subscriber channel acquisition of information user channel quality；
Using service speed in each network of the service feature parameter, the user and user channel quality as
Input parameter is input in the system-level expense neural network model of each network, obtains customer service in each network
System-level expense.
Preferably, the service speed for calculating the user in each network and the user are in each network
The ratio of system-level expense, load-carrying efficiency of active user's business in each network is obtained, is specifically included：
The control channel expense of the layer one in each network is calculated using Multiple Attribute Decision-making Method, two groups of layer unwraps pin and
The integrated network expense of three RRC signaling expense of layer；
Service speed of the user in each network and the ratio of the integrated network expense of each network are calculated,
Obtain load-carrying efficiency of active user's business in each network.
Accordingly, the invention also provides a kind of device for realizing the heterogeneous network sharing lood based on load-carrying efficiency, institute
Stating device includes：
Service feature parameter extraction module, for obtaining user service information, industry is extracted according to the user service information
Business characteristic parameter；
Service speed computing module, for obtaining subscriber channel information, user is calculated according to the subscriber channel information and existed
Service speed in each network；
First computing module, for according to the service feature parameter, service speed of the user in each network
And subscriber channel information calculates system-level expense of the customer service in each network, the system-level expense includes：Layer one
Control channel expense, two groups of layer unwrap pin and the RRC signaling expense of layer three；
Second computing module, for calculating service speed of the user in each network with the user in each net
The ratio of system-level expense in network, obtain load-carrying efficiency of active user's business in each network；
Selecting module, for selecting load-carrying efficiency highest network carrying active user's business.
Preferably, the service speed computing module includes：
Receiving unit, the subscriber channel information reported is surveyed for receiving user；
Computing unit, for calculating service speed of the user in each network according to the subscriber channel information.
Preferably, described device also includes：
Neural metwork training module, for carrying out neural metwork training according to default historical data, obtain each network base
In service speed in each network of service feature parameter, user and the system-level expense neutral net of subscriber channel information
Model.
(3) beneficial effect
Heterogeneous network sharing lood method and device proposed by the present invention based on load-carrying efficiency, enhances base station for different
The operability of sharing lood under structure network scenarios, base station is set to dominate user's selection according to analysis user performance characteristic
The optimal network of load-carrying efficiency, realize that the synthesis of heterogeneous network resource effectively utilizes, and be benefited and the side of network overhead two from user
Face is had in mind, in the case where user service speed is satisfied with, avoids carrying out large overhead to Netowrk tape.
Brief description of the drawings
The features and advantages of the present invention can be more clearly understood by reference to accompanying drawing, accompanying drawing is schematically without that should manage
Solve to carry out any restrictions to the present invention, in the accompanying drawings：
Fig. 1 is a kind of heterogeneous network sharing lood method flow diagram based on load-carrying efficiency proposed by the present invention；
Fig. 2 is the application system of the heterogeneous network sharing lood method based on load-carrying efficiency proposed in the embodiment of the present invention
Structure chart；
Fig. 3 is the heterogeneous network sharing lood method based on load-carrying efficiency and neutral net proposed in the embodiment of the present invention
Flow chart；
Fig. 4 is that the BP neural network proposed in the embodiment of the present invention realizes block diagram；
Fig. 5 is a kind of device for realizing the heterogeneous network sharing lood based on load-carrying efficiency that the embodiment of the present invention two proposes
Module map.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
For diversified business, in heterogeneous network environment, the invention provides a kind of isomery based on load-carrying efficiency
Network association bearing method and device, this method obtain subscriber channel conditions and traffic feature calculation carrying effect by heterogeneous network
Rate and the bearing method for realizing user oriented specific transactions, it is possible to increase the total load-carrying efficiency of heterogeneous network system level.
Fig. 1 is a kind of heterogeneous network sharing lood method flow based on load-carrying efficiency that the embodiment of the present invention one proposes
Figure, as shown in figure 1, methods described includes：
S101, user service information is obtained, service feature parameter is extracted according to the user service information；Wherein, business
Characteristic parameter includes traffic packets bag size, packet inter-packet gap and business burst interval etc..In the embodiment of the present invention, base station obtains
User service information, face phase user extract service feature parameter.
S102, subscriber channel information is obtained, service of the user in each network is calculated according to the subscriber channel information
Speed.
In the embodiment of the present invention, base station obtains subscriber channel information, calculates potential data clothes of the user in each network
Business speed, and channel quality of the user in each network is determined according to subscriber channel information.
S103, according to the service speed and subscriber channel of the service feature parameter, the user in each network
Information (channel quality of the user in each network) calculates system-level expense of the customer service in each network, the system
Level expense includes：One control channel expense of layer, two groups of layer unwrap pin and the RRC signaling expense of layer three；Wherein, layer one is specifically chosen
Parameter physics uplink/downlink control channel occupancy characterization control channel overhead, including CSI is reported or CQI is reported, scheduling indicates,
The expenses such as ACK/NACK feedbacks；Choose the protocol Data Unit middle wrapping head expense of layer two and filling expense sign group unwraps pin, including
MAC layer packet header expense, rlc layer packet header expense, PDCP layers packet header expense and MAC layer filling size；Choose the Radio Resource control of layer three
Signaling consumption processed characterizes signaling consumption, including RRC Connection Request, RRC Connection Setup, RRC
Connection Setup Complete, RRC Connection ReConfiguration etc..
S104, it is system-level in each network with the user to calculate service speed of the user in each network
The ratio of expense, obtain load-carrying efficiency of active user's business in each network；
S105, select load-carrying efficiency highest network carrying active user's business.
The heterogeneous network sharing lood method that the embodiment of the present invention proposes is made with load-carrying efficiency of the business in heterogeneous networks
For the sharing lood method of foundation, the system-level each parameter of expense in load-carrying efficiency calculating process is determined according to network carrying strategy
The weight of influence factor, to maximize sharing lood method of the heterogeneous network total business load-carrying efficiency as target-dominant.Fig. 2 is base
In the application system structure chart of the heterogeneous network sharing lood method of load-carrying efficiency, as shown in Fig. 2 this method is according to each user
Channel conditions and traffic calculation of characteristic parameters heterogeneous networks load-carrying efficiency value, and then select load-carrying efficiency value highest network
Active user's business is carried, realizes user oriented, personalized heterogeneous network sharing lood method.
Load-carrying efficiency is that the obtainable business datum of system of units irrespective of size expense is expended in bearer network, is received by datum plane
The ratio of benefit and control plane expense weighs the efficiency of service bearer.
Wherein, the heterogeneous network sharing lood method proposed in the embodiment of the present invention also includes：According to default historical data
Carry out neural metwork training, obtain each network based on service speed in each network of service feature parameter, user and
The system-level expense neural network model of subscriber channel information, wherein subscriber channel information are used to determine user channel quality.
Wherein, step S103 is specifically included：User channel quality is determined according to the subscriber channel information；By the business
The service speed and user channel quality of characteristic parameter, the user in each network are input to each as input parameter
In the system-level expense neural network model of network, system-level expense of the customer service in each network is obtained.
Wherein, step S104 is specifically included：The layer one calculated using Multiple Attribute Decision-making Method in each network controls letter
Road expense, two groups of layer unwrap the integrated network expense of pin and the RRC signaling expense of layer three；The user is calculated in each network
Service speed and each network the integrated network expense ratio, obtain active user's business holding in each network
Carry efficiency.
Technical scheme is clearly and completely described below by specific embodiment.
Assuming that under LTE, UMTS heterogeneous network scene, active user is connected to L nets (or U nets), and network side passes through the present invention
Scheme carries out user and calculated in L nets and the U load-carrying efficiency netted, and is switched to U nets (or L nets) carrying when determining.
Fig. 3 is the heterogeneous network sharing lood method flow diagram based on load-carrying efficiency and neutral net, as shown in figure 3, tool
Body comprises the following steps：
1. beforehand through substantial amounts of input, (business domains uniform traffic model parameter, network domains service speed and user domain are believed
Road quality) output (layer 1, layer 2, every bit control overhead of layer 3) historical data training U, L neutral net, until network exports
Error be reduced to acceptable degree untill.Neutral net can play input quantity to output quantity mapping letter after the completion of training
Several effects.Subsequent step is performed when needing calculating network load-carrying efficiency and carrying out handover trigger process.
2. it is burst interval, packet size and class interval to obtain uniform traffic model parameter by packet capturing first, simultaneously
Also each layer expense that user is currently located network (such as in L nets) is obtained.
3. the uniform traffic model parameter of business domains, the service speed of network domains and the channel quality of user domain are input to
(such as in U net neural network models) obtains corresponding output in the neutral net that different RAT network has been trained, i.e., each layer is per bit
Control overhead.
4. each layer expense in being netted respectively according to L, U calculates respective load-carrying efficiency using multiple attribute decision making (MADM).For example use
The mode of simple weighted, read group total network synthesis is weighted per overhead bit per bit control overhead index by three layers.
5. network is selected according to load-carrying efficiency：Do not operated if the load-carrying efficiency height of current network；As different RAT network (compares
Such as U nets) load-carrying efficiency height if consider network switching.
Wherein, BP neural network implementation method is as shown in figure 4, be the study of error-duration model error backpropagation algorithm
Journey, it is made up of the forward-propagating of information and two processes of backpropagation of error, is one three layers of network, wherein：
Input layer (input layer)：Each neuron of input layer is responsible for receiving the input information from the external world, and passes to
Each neuron in intermediate layer, the number of neuron are determined by the dimension of sample attribute；
Hidden layer (Hidden Layer):Intermediate layer is internal information process layer, is responsible for information conversion, according to information change
The demand of ability, intermediate layer can be designed as single hidden layer or more hidden layer configurations, and the number of plies and every layer of neuron number are by user
Specify；Last hidden layer is delivered to the information of each neuron of output layer, after further treatment after, complete the forward direction that once learns
Dissemination process process；
Output layer (Output Layer):Output layer outwardly output information result, the number of output layer neuron
Determined by sample classification number；
Each layer input/output relation is typically represented by：
Wherein, Ii,jRepresent the input information of j-th of node of i-th layer of input, Qi,kRepresent k-th of section of i-th layer of output
The input information of point, wi,kRepresent that i-th layer of output action is defeated in next layer
The weights size entered, θi,jNeuron threshold value is represented, e is the bottom of natural logrithm.
The premise of BP neural network training is that have substantial amounts of input and output sample (X, Y), wherein, X is input, and Y is output.
When reality output and desired output are not inconsistent, into the back-propagation phase of error.Error is by output layer, by under error gradient
Each layer weights of mode amendment of drop, to the successively anti-pass of hidden layer, input layer.The information forward-propagating to go round and begin again and error reversely pass
Process is broadcast, is the process that each layer weights constantly adjust, and the process of neural network learning training, this process are performed until net
Untill the error of network output is reduced to acceptable degree, or study number set in advance.
Wherein, error is：
Error gradient declines mode：
Wherein, E (t) represents mean square error, and e (t) represents error amount, y*Desired output is represented, y (t) represents actual defeated
Go out value, Z represents adjustable variable, such as wi,kOr θi,j。
In terms of train samples, main input dimension (this with sample of the quantity of required training sample
It is 5 dimensions in patent formula, wherein business domains have three dimensional parameters：Class interval, packet size and burst interval, net
The parameter of a dimension be present in network domain：Service speed, user and the parameter that a dimension be present：Channel quality), error precision will
Ask and the training process of neural network model that the quality of sample is relevant also, different is otherwise varied, accordingly to sample
There is also difference, required sample size specifically to weigh for Training Capability.
In order to reach higher training precision, make neutral net output and desired output error it is as small as possible, it is necessary to
Substantial amounts of training sample, and training precision requires that more high required sample size is also bigger.In addition, training sample should divide as far as possible
Being dispersed in enables neutral net train the sample in the whole input space in the hyperspace of input parameter, sample quality is better
(sample distribution is more scattered, itself sampling error of more representative, sample is smaller), trains required sample fewer.
Multiple attributive decision making method in methods described can be realized with following steps：
Multiple attribute decision making (MADM) is mainly evaluation, the sequencing problem for solving the limited decision scheme with multiple attributes (index),
Mainly there are the features such as multiple attributes, different dimensions and attribute weight.The effect of the multiple attribute decision making (MADM) used in this patent is exactly root
Integrate to obtain the service bearer efficiency of each network according to each network middle level 1, layer 2, the expense of layer 3.
Service bearer efficiency is mainly determined that layer 1 mainly considers that physical channel takes, layer 2 by each layer per bit control overhead
Main to consider packet header expense and bag filling, layer 3 mainly considers RRC signaling expense, and by taking simple linear weighting method as an example, each network is comprehensive
Following steps can be taken by closing load-carrying efficiency calculating process：The standardization of attribute is realized first, i.e., each layer expense is normalized
Processing, such as：WithI-th layer of expense in network k is represented, because expense belongs to the smaller the better index, therefore can be usedIt is normalized；Then the importance according to each layer expense in a network is true
The weight coefficient of fixed each attribute, such as determines weight, step scale assignment table is as shown in table 1, as follows using step scale assignment method：
The step scale assignment table of table 1
| Factor compares | Value |
| Factor fjWith fkCompared to suitable | dj,k=dk,j=4 |
| Factor fjWith fkCompared to more important | dj,k=4+1, dk,j=4-1 |
| Factor fjWith fkCompared to important | dj,k=4+2, dk,j=4-2 |
| Factor fjWith fkCompared to critically important | dj,k=4+3, dk,j=4-3 |
| Factor fjWith fkCompared to absolutely essential | dj,k=4+4, dk,j=4-4 |
Wherein, factor f is adjudicatedjWith fkStep scale be entered as djk, and assignment is carried out according to assignment method shown in upper table,
Assignment matrix, which can be obtained, is：
Calculate the excellent ordinal number of scale preference of each factor(j=1,2 ..., n), and take(j=
1,2 ..., n), then the weight that can obtain all Considerations is：ω=(ω1,ω2,…,ωn)。
The linear weighted function value for finally obtaining each layer expense in each network is load-carrying efficiency of the business in each network
Traffic_efficiency=w1*factor1+w2*factor2+w3*factor3。
In addition, Multiple Attribute Decision-making Method also has analytic hierarchy process (AHP), TOPSIS methods, ELECTRE methods etc., can be according to specific feelings
Condition selects suitable method, and the present invention is not limited this.
In the heterogeneous network sharing lood method based on load-carrying efficiency proposed in embodiments of the present invention, base station side is in industry
In the case that service type is unknown load-carrying efficiency parameter is obtained by obtaining service feature Parameter analysis and in this, as sharing lood
Judgement index, add the operability of base station side.Using acquisition business domain information and user domain channel quality and
The service speed of network domains, load-carrying efficiency of the current business in potentially accessible heterogeneous network can be obtained, to be held
Efficiency comparative is carried, instructs customer service to be carried in the high network of load-carrying efficiency.Traditional bearing method only pursues datum plane
Maximum revenue (maximization of transmission rate or propagation delay time minimize), does not consider expense of the network side in control plane,
The present invention had both considered income while have also contemplated that cost, obtained the maximization of net profit.
Fig. 5 is a kind of device for realizing the heterogeneous network sharing lood based on load-carrying efficiency that the embodiment of the present invention two proposes
Module map, as shown in figure 5, described device includes：
Service feature parameter extraction module 201, for obtaining user service information, extracted according to the user service information
Service feature parameter；
Service speed computing module 202, for obtaining subscriber channel information, user is calculated according to the subscriber channel information
Service speed in each network；
First computing module 203, for the service speed according to the service feature parameter, the user in each network
Rate and subscriber channel information calculate system-level expense of the customer service in each network, and the system-level expense includes：Layer
One control channel expense, two groups of layer unwrap pin and the RRC signaling expense of layer three；
Second computing module 204, for calculating service speed of the user in each network with the user each
The ratio of system-level expense in individual network, obtain load-carrying efficiency of active user's business in each network；
Selecting module 205, for selecting load-carrying efficiency highest network carrying active user's business.
Service speed computing module 202 in the embodiment of the present invention specifically includes：
Receiving unit, the subscriber channel information reported is surveyed for receiving user；
Computing unit, for calculating service speed of the user in each network according to the subscriber channel information.
Further, the embodiment of the present invention propose heterogeneous network sharing lood of the realization based on load-carrying efficiency device also
Including：
Neural metwork training module, neural metwork training module, for carrying out neutral net instruction according to default historical data
Practice, obtain each network based on service speed in each network of service feature parameter, user and subscriber channel information
System-level expense neural network model, wherein, subscriber channel information is used to determine user channel quality.By will be by the business
The service speed and user channel quality of characteristic parameter, the user in each network are input to each as input parameter
In the system-level expense neural network model of network, system-level expense of the customer service in each network, base station are obtained
The load-carrying efficiency of business in each network is obtained according to default carrying strategy, base station performs different according to load-carrying efficiency quantitative relation
Network forming network sharing lood.
Heterogeneous network sharing lood method and device proposed by the present invention based on load-carrying efficiency, enhances base station for different
The operability of sharing lood under structure network scenarios, base station is set to dominate user's selection according to analysis user performance characteristic
The optimal network of load-carrying efficiency, realize that the synthesis of heterogeneous network resource effectively utilizes, and be benefited and the side of network overhead two from user
Face is had in mind, in the case where user service speed is satisfied with, avoids carrying out large overhead to Netowrk tape.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can lead to
Hardware realization is crossed, the mode of necessary general hardware platform can also be added by software to realize.Based on such understanding, this hair
Bright technical scheme can be embodied in the form of software product, and the software product can be stored in a non-volatile memories
In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are causing a computer equipment (can be
Personal computer, server, or network equipment etc.) perform method described in each embodiment of the present invention.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, module or stream in accompanying drawing
Journey is not necessarily implemented necessary to the present invention.
It will be appreciated by those skilled in the art that the module in device in embodiment can describe be divided according to embodiment
It is distributed in the device of embodiment, respective change can also be carried out and be disposed other than in one or more devices of the present embodiment.On
The module for stating embodiment can be merged into a module, can also be further split into multiple submodule.
Disclosed above is only several specific embodiments of the present invention, and still, the present invention is not limited to this, any ability
What the technical staff in domain can think change should all fall into protection scope of the present invention.
Claims (7)
- A kind of 1. heterogeneous network sharing lood method based on load-carrying efficiency, it is characterised in that methods described includes：User service information is obtained, service feature parameter is extracted according to the user service information；Subscriber channel information is obtained, service speed of the user in each network is calculated according to the subscriber channel information；Neural metwork training is carried out according to default historical data, each network is obtained and is based on service feature parameter, user each The system-level expense neural network model of service speed and subscriber channel information in network；According to the subscriber channel acquisition of information user channel quality；By the service feature parameter, the user in each net Service speed and user channel quality in network are input to the system-level expense nerve of each network as input parameter In network model, system-level expense of the customer service in each network is obtained, the system-level expense includes：The control letter of layer one Road expense, two groups of layer unwrap pin and the RRC signaling expense of layer three；Calculate the ratio of service speed of the user in each network and system-level expense of the user in each network Value, obtains load-carrying efficiency of active user's business in each network；Select load-carrying efficiency highest network carrying active user's business.
- 2. according to the method for claim 1, it is characterised in that the service feature parameter include traffic packets bag size, It is grouped inter-packet gap and business burst interval.
- 3. according to the method for claim 1, it is characterised in that the control channel expense of layer one passes through the parameter physics of layer one Uplink/downlink control channel occupancy is characterized；Two groups of the layer is unwrapped pin and characterized by the protocol Data Unit middle wrapping head expense of layer two and filling expense；The RRC signaling expense of layer three is characterized by the radio resource control signaling expense of layer three.
- 4. according to the method for claim 1, it is characterised in that described that user is calculated each according to the subscriber channel information Service speed in individual network specifically includes：Receive user and survey the subscriber channel information reported；Service speed of the user in each network is calculated according to the subscriber channel information.
- 5. according to the method for claim 1, it is characterised in that the service speed for calculating the user in each network The ratio of rate and system-level expense of the user in each network, obtains carrying of active user's business in each network Efficiency, specifically include：The control channel expense of the layer one in each network is calculated using Multiple Attribute Decision-making Method, two groups of layer unwraps pin and layer three The integrated network expense of RRC signaling expense；Service speed of the user in each network and the ratio of the integrated network expense of each network are calculated, is obtained Load-carrying efficiency of active user's business in each network.
- 6. a kind of device for realizing the heterogeneous network sharing lood based on load-carrying efficiency, it is characterised in that described device includes：Service feature parameter extraction module, for obtaining user service information, it is special that business is extracted according to the user service information Levy parameter；Service speed computing module, for obtaining subscriber channel information, user is calculated each according to the subscriber channel information Service speed in network；Neural metwork training module, for carrying out neural metwork training according to default historical data, obtain each network and be based on industry The system-level expense neutral net mould of the service speed and subscriber channel information of business characteristic parameter, user in each network Type；First computing module, for according to the subscriber channel acquisition of information user channel quality；By the service feature parameter, Service speed and user channel quality of the user in each network are input to the institute of each network as input parameter State in system-level expense neural network model, obtain system-level expense of the customer service in each network, it is described system-level to open Pin includes：One control channel expense of layer, two groups of layer unwrap pin and the RRC signaling expense of layer three；Second computing module, for calculating service speed of the user in each network and the user in each network System-level expense ratio, obtain load-carrying efficiency of active user's business in each network；Selecting module, for selecting load-carrying efficiency highest network carrying active user's business.
- 7. device according to claim 6, it is characterised in that the service speed computing module includes：Receiving unit, the subscriber channel information reported is surveyed for receiving user；Computing unit, for calculating service speed of the user in each network according to the subscriber channel information.
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| CN201410650552.7A CN104486806B (en) | 2014-11-14 | 2014-11-14 | A kind of heterogeneous network sharing lood method and device based on load-carrying efficiency |
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| CN201410650552.7A CN104486806B (en) | 2014-11-14 | 2014-11-14 | A kind of heterogeneous network sharing lood method and device based on load-carrying efficiency |
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