CN109511144A - Network insertion type decision method, apparatus, switching control and storage medium - Google Patents
Network insertion type decision method, apparatus, switching control and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0055—Transmission or use of information for re-establishing the radio link
- H04W36/0066—Transmission or use of information for re-establishing the radio link of control information between different types of networks in order to establish a new radio link in the target network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
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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
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/11—Arrangements specific to free-space transmission, i.e. transmission through air or vacuum
- H04B10/114—Indoor or close-range type systems
- H04B10/116—Visible light communication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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Abstract
A kind of network insertion type decision method, it include: the message transmission rate obtained when visible light communication channel does not block under user terminal current state, and message transmission rate when not blocked according to the channel block parameter of known previous state and current state visible light communication channel, access style of the maximum access style of equivalent channel as current state user terminal is determined according to preparatory trained Nonlinear Support Vector Machines model.The present invention also provides a kind of network insertion type decision device, network switching control device and computer readable storage mediums.The present invention is in the mixing chamber being made of visible light communication and conventional radio frequency communication in wireless communication network environments, so that user can relatively accurately select the maximum access style of current state equivalent channel in the case where actual channel blockage parameter is unknown, it successfully manages frequent switching and blocks obstruction bring negative effect, meet the needs of user is for transmission rate and communication quality.
Description
Technical field
The present invention relates to indoor wireless communication technical fields, and in particular to a kind of to be communicated by visible light communication and conventional radio frequency
Network insertion type decision method, apparatus, switching control and meter in the mixing chamber of composition in wireless communication network environments
Calculation machine readable storage medium storing program for executing.
Background technique
Visible light communication (Visible Light Communication, VLC) technology is considered as that the following indoor wireless is logical
One of the important technology of letter system, causes the extensive concern of academia and industry.Since mobile terminal quantity and service need
The continuous growth asked, indoor wireless networks data traffic are increasing sharply, and radio frequency (Radio Frequency, RF) communication can
Gradually shown with the drawback that frequency spectrum is limited.In recent years, VLC technology is rapidly developed, the technology by in-door covering illumination
Light emitting diode (LED) facility is communicated, and the high frequency visible light wave issued using LED is as communication information carrier, to information
Intensity modulated and transmission are carried out, the optical carrier received is detected by photoelectricity testing part in user terminal.VLC system supports room
Data communication and illumination in interior environment can be used a large amount of unrestricted free frequency spectrums and transmit optical signal in air,
As a kind of feasible means for overcoming height localization communication system radio spectrum congestion.With conventional radio frequency communication technology phase
Than, it is seen that optic communication has high data rate, green low-carbon, lays convenient and high confidentiality advantage, can satisfy indoor nothing
Demand of the line communication scenes to high access rate.
However, visible light communication technology still has some urgent problems to be solved in the application of real system.First
Compared to the penetrability of other wireless communications, it is seen that optic communication is highly susceptible to the influence of shelter, causes optical communication link
It is unstable, it not can guarantee the communication service that mobile subscriber obtains continuous and effective.In addition, visible wavelength too short-range missile cause scattered,
Reflection, multipath are affected, therefore the technology has certain limitation and applicable scene.In short, VLC technology needs to break through
Bottleneck problem be that light beam how is effectively treated by the obstruction of barrier, this is also the hot issue of current research.
A kind of reasonable solution is that VLC technology and other wireless access ways are combined at present, is under actual environment
Mobile subscriber preferable network service is provided.Usually indoors in place, using Wireless Fidelity (Wireless Fidelity,
WiFi all standing) is carried out, guarantees the duration of user's access, and is directed to the disadvantage of WiFi technology bandwidth deficiency, introduces VLC technology
Heterogeneous communications network in forming chamber.VLC-WiFi hybrid network can be in conjunction with the height of light fidelity (Light Fidelity, LiFi)
Fast transmission characteristic and ubiquitous WiFi coverage property provide preferably access selection for the user in indoor environment to improve
Transmission performance improves user experience.
In VLC-WiFi hybrid network, since opaque barrier hinders sighting distance (Line of Sight, LoS) letter
Road, LiFi are easy to be influenced by channel blocking, and interrupting for a long time occurs in communication in order to prevent, and LiFi user is switched to WiFi
Substitution access is provided.But the time for being used for transmission data can be greatly decreased in frequent switching to user between the two networks, reduce
Effective transmission rate.In order to avoid there is ping-pong, user should be selectively switchable to when losing LiFi connection
WiFi.Under indoor scene, the movement of barrier causes the frequency of channel block and duration to be all difficult to determine, handover overhead and blocks
Effect is all problem in need of consideration, and which greatly increases the difficulty that user selects suitable access style.
For the sake of simplifying problem, indoor visible light communication channel can be modeled as LoS channel model, and optical channel gain can indicate
Are as follows:
Wherein, lambert's exponent m is half intensity radiation angle θ1/2Function, formula m=-1/log can be used2(cos(θ1/2))
It indicates, APThe receiving end physical region of photodiode, d be from LiFi access point (AP) to user's optical receiver away from
From ψ is irradiating angle, and θ is incidence angle；ΘFIt is the half-angle of receiver field angle (Field of View, FoV), TS(θ) is light
The gain of filter is learned, concentrator gain g (θ) may be expressed as:
Wherein n is refractive index.
When user terminal μ is connected to LiFi AP α, signal interference plus noise ratio (SINR) be may be expressed as:
Wherein γ is photoelectric conversion efficiency, PtIt is the transmitting optical power of each LiFi AP, N0It is noise power spectral density, B
It is the modulation bandwidth of LED light, Hμ,αIt is the optical channel gain between user terminal μ and LiFi AP α, Hμ,elseIt is user terminal μ and other
Optical channel gain between the LiFi AP of interference.
Orthogonal frequency division multiplexi (OFDM) is generallyd use in visible light communication, the intensity as used in LiFi transmission
Modulation and directly detection, only real-valued signal can just be transferred to receiver, and the subcarrier of at least half be used to realize tune
The Hermitian conjugate of complex symbol after system.Therefore accessible using a half-band width between user terminal μ and the LiFi AP of other interference
Data rate indicates are as follows:
In machine learning, support vector machines (SVM) is a kind of supervised learning model related with relational learning algorithm, quilt
It is widely used in data analysis and pattern-recognition, is mainly used to the problems such as solving classification and returning.When training sample linear separability
When, learnt by hard margin maximization, for the sample that approximately linear can divide, can be maximized and be learned according to soft margin
It practises.And in practical situations, more commonly the sample set of linearly inseparable, is carried out by kernel function non-linear at this time
Transformation, converts linear problem for nonlinear problem.Training sample can be mapped to higher dimensional space from luv space by kernel function,
Make its linear separability in this space, therefore needs to select suitable kernel function when solving nonlinear problem.
Summary of the invention
In view of problem above, the present invention proposes a kind of network insertion type decision method, apparatus, switching control and meter
Calculation machine readable storage medium storing program for executing, the wireless communication network environments in the mixing chamber being made of visible light communication and conventional radio frequency communication
In, allow user relatively accurately to select the maximum access style of equivalent channel, successfully manages frequent switching and screening
The negative effect of block resistance plug bring, meets the needs of user is for transmission rate and communication quality.
The first aspect of the application provides a kind of network insertion type decision method, is applied to by visible light communication and tradition
In the mixing indoor Radio Communication System of radio communication composition, the indoor Radio Communication System includes an at least network switching control
Device processed, an at least visible light communication equipment, at least a twireless radio-frequency communication equipment and an at least user terminal, the method packet
It includes:
User terminal is continued to monitor in the visible light communication channel block parameter of each time interval with Fixed Time Interval,
In, each time interval is defined as a state, and the channel block parameter includes channel block incidence and occupancy, institute
It states incidence and corresponds to the channel block number occurred in the time interval, the occupancy is that user terminal encounters channel block
Time accounts for the ratio of the time interval；
Message transmission rate when visible light communication channel does not block under the user terminal current state is obtained, and according to
Message transmission rate when the channel block parameter and current state visible light communication channel of the previous state known are not blocked, is pressed
Determine the maximum access style of equivalent channel as current state according to preparatory trained Nonlinear Support Vector Machines model
The access style of user terminal.
Preferably, the training method of the trained Nonlinear Support Vector Machines model in advance includes:
The initial data set of user end access style decision is established, it includes user terminal in previous shape that the primary data, which is concentrated,
Message transmission rate when visible light communication channel does not block under the channel block incidence and occupancy and current state of state；
Using the Radial basis kernel function training Nonlinear Support Vector Machines model in the initial data set, wherein
Training sample data collection is the initial data set, and label is three kinds of user network access styles, wherein the first tag types
Y=1 representative only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 represents LiFi/
WiFi, i.e. user terminal are switched to WiFi from LiFi when visible light channel obstruction occurs and guarantee data transmission, and when LiFi connects
LiFi is switched back into when connecing recovery；
Test sample data set is obtained, the trained Nonlinear Support Vector Machines model decision effect is surveyed
Examination, the test sample data set includes channel block incidence and occupancy and current shape of the user terminal in previous state
Message transmission rate when visible light communication channel does not block under state.
Preferably, the calculation method of the label includes:
Current state user terminal is calculated using the currently practical channel block parameter measured in predetermined time period
Equivalent rate simultaneously chooses the maximum network insertion type of equivalent rate as training sample data collection label.
Preferably, it is described calculate current state user terminal equivalent rate and choose the maximum network insertion class of equivalent rate
Type includes: as training sample data collection label
1) equivalent rate of current state user terminal is calculated:
If κ indicates the access style of user terminal, THIt is described to indicate that the Vertical Handover time of user terminal progress network switching accounts for
Time interval ratio, user terminal uses the data transmission efficiency of WiFi under current state are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then
User terminal equivalent rate r are as follows:
2) the maximum network insertion type of equivalent rate is chosen in the user terminal equivalent rate as number of training
According to collection label.
The second aspect of the application provides a kind of network insertion type decision device, and described device includes:
Visible light communication channel block parameter monitoring module, for continuing to monitor user terminal each with Fixed Time Interval
The visible light communication channel block parameter of time interval, wherein each time interval is defined as a state, the channel resistance
Plug parameter includes channel block incidence and occupancy, and the incidence corresponds to the channel block time occurred in the time interval
Number, the occupancy are that user terminal encounters time of channel block and accounts for the ratio of the time interval；
Message transmission rate obtains module, does not block for obtaining visible light communication channel under the user terminal current state
When message transmission rate；And
Network insertion type decision module, for the channel block parameter and current state according to known previous state
Message transmission rate when visible light communication channel does not block is determined according to trained Nonlinear Support Vector Machines model in advance
Access style of the maximum access style of equivalent channel as current state user terminal.
Preferably, described device further includes model training module, for training the Nonlinear Support Vector Machines model, institute
Stating the model training module training Nonlinear Support Vector Machines model includes:
The initial data set of user end access style decision is established, it includes user terminal in previous shape that the primary data, which is concentrated,
Message transmission rate when visible light communication channel does not block under the channel block incidence and occupancy and current state of state；
Using the Radial basis kernel function training Nonlinear Support Vector Machines model in the initial data set, wherein
Training sample is the initial data set, and label is three kinds of user network access styles, wherein the first tag types y=1 generation
Table only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 represents LiFi/WiFi, i.e.,
User terminal is switched to WiFi from LiFi when visible light channel obstruction occurs and guarantees data transmission, and when LiFi connection restores
Switch back into LiFi；
Test sample data set is obtained, the trained Nonlinear Support Vector Machines model decision effect is surveyed
Examination, the test sample data set includes channel block incidence and occupancy and current shape of the user terminal in previous state
Message transmission rate when visible light communication channel does not block under state.
Preferably, the calculation method of the label includes:
Current state user terminal is calculated using the currently practical channel block parameter measured in predetermined time period
Equivalent rate simultaneously chooses the maximum network insertion type of equivalent rate as training sample data collection label；
Wherein, it is described calculate current state user terminal equivalent rate and choose the maximum network insertion type of equivalent rate
Include: as training sample data collection label
1) equivalent rate of current state user terminal is calculated:
If κ indicates the access style of user terminal, THIt is described to indicate that the Vertical Handover time of user terminal progress network switching accounts for
Time interval ratio, user terminal uses the data transmission efficiency of WiFi under current state are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then
User terminal equivalent rate r are as follows:
2) the maximum network insertion type of equivalent rate is chosen in the user terminal equivalent rate as number of training
According to collection label.
The third aspect of the application provides a kind of switching control, and the switching control includes processor, described
Processor is for realizing the network insertion type decision method when executing the computer program stored in memory.
The fourth aspect of the application provides a kind of computer readable storage medium, is stored thereon with computer program, described
The network insertion type decision method is realized when computer program is executed by processor.
The present invention is according to laststate VLC channel block parameter (incidence and occupancy) and LiFi number known to user
According to transmission rate, the maximum access style of equivalent channel is selected by trained SVM model, by this method user
The maximum access style of equivalent channel can be relatively accurately selected in hybrid network, can successfully manage frequent switching
It is negatively affected with obstruction bring is blocked, improves user's overall rate performance, meet user for transmission rate and communication quality
Demand, avoid communication occur for a long time interrupt.In addition, after establishing categorized data set and model in the present invention, it can be direct
High-speed decision is carried out to network insertion type using user terminal currently known information, reduces the overhead of network switching decision.
Detailed description of the invention
Fig. 1 is the network application environment schematic diagram of network insertion type decision method in an embodiment of the present invention.
Fig. 2 is the flow chart for the network insertion type decision method that an embodiment of the present invention provides.
Fig. 3 is the SVM model training method process for network insertion type decision that an embodiment of the present invention provides
Figure.
Fig. 4 is the functional block diagram for the network insertion type decision device that an embodiment of the present invention provides.
Fig. 5 is the schematic diagram for the network switching control device that an embodiment of the present invention provides.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying example, the present invention will be described in detail.It should be noted that in the absence of conflict, embodiments herein and embodiment
In feature can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, described embodiment is only
It is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.
Referring to Fig. 1, for the application environment schematic diagram of network insertion type decision method in an embodiment of the present invention.This
In embodiment, the network insertion type decision method is applied to a kind of be made of visible light communication and conventional radio frequency communication
It mixes in indoor Radio Communication System 100 (calling indoor Radio Communication System 100 in the following text).The indoor Radio Communication System 100 to
Few includes an at least network switching control device 10, an at least visible light communication equipment 20, at least a twireless radio-frequency communication equipment
30 and at least one user terminal 40.The network switching control device 10 is set with the visible light communication equipment 20 and radio communication
Standby 30 establish communication connection by way of wired connection.An at least user terminal 40 passes through the visible light communication equipment 20
The twireless radio-frequency communication network implementations network data that the visible light communication network or the radio frequency communication devices 30 of offer provide passes
It is defeated.The network switching control device 10 is logical in above-mentioned visible light communication network and less radio-frequency for controlling the user terminal 40
Switching between communication network.
In present embodiment, the visible light communication equipment 20 is indoor lighting apparatus, such as indoor illumination light-emitting
Diode (LED light), fluorescent lamp etc., for providing light fidelity (Light Fidelity, LiFi) communication.In present embodiment
In, it is to be set to indoor Wireless Fidelity (Wireless Fidelity, WiFi) communication with the twireless radio-frequency communication equipment 30
Equipment is illustrated.In other embodiments, the twireless radio-frequency communication equipment 30 is also possible to other communications
Communication equipment.A user terminal 40 of the invention is the electronic devices such as smart phone, tablet computer.
Fig. 2 is the flow chart for the network insertion type decision method that an embodiment of the present invention provides.According to different need
It asks, the sequence of step can change in the flow chart, and certain steps can be omitted.For ease of description, it illustrates only and this hair
The relevant part of bright embodiment.
As shown in Fig. 2, the network insertion type decision method specifically includes the following steps:
Step S1: network switching control device continues to monitor user terminal each time interval T's with Fixed Time Interval T
VLC channel block parameter, wherein each time interval T is defined as a state, and the VLC channel block parameter includes letter
Road blocks incidence λ and occupancy η.
In present embodiment, the time interval T, which can according to need, is set as suitable time span value.Citing and
Speech, the network switching control device continued to monitor the VLC channel block parameter of user terminal with 60 seconds for a time interval T,
Described first is defined as first state for 60 seconds, and second is defined as the second state in 60 seconds, and so on, n-th 60 seconds
It is defined as the n-th state.Natural number n indicates the serial number of each state.
The corresponding incidence λ of one state (i.e. a time interval T) refers to the VLC channel occurred in the time interval T
Block number, occupancy η is that user terminal encounters time of channel block and accounts for the ratio of the time interval T.Since obstruction occupies
Rate η is the arbitrary number between 0 to 1, and η is carried out discretization with 0.1 precision for the ease of analyzing.
In monitoring process, the VLC channel block ginseng due to the movement of user terminal and barrier, between two adjacent states
Number can accordingly change, and VLC channel block parameter can become newly being worth in NextState.In practical application scene, user can not
Know VLC channel block parameter in the current n-state period, user's Given information is n-1 state block incidence λn-1And occupancy
Rate ηn-1。
Step S2, the network switching control device obtains under the current n-state of user terminal visible light communication channel not
The LiFi message transmission rate blocked, and according to LiFi under the VLC channel block parameter and current state of known previous state
Message transmission rate determines the maximum access style conduct of equivalent channel according to preparatory trained non-linear SVM model
The access style of current state user terminal.
Wherein, the training method of the non-linear SVM model is described in detail further in connection with Fig. 3.
Under each state, network switching control device is that all user terminal decision networks access class in wireless communication system
Type.In the VLC-WiFi hybrid network of mixing indoor Radio Communication System, due to the movement of user terminal and barrier, VLC letter
Road blockage parameter can become newly being worth in NextState, and the time interval between two adjacent states is T, network switching control device
The network insertion type of each user terminal is updated using time interval T as the period.
Step S3, the described network switching control device sends the access style of the current state user terminal determined
To user terminal, user terminal is controlled with the access style of the determination and accesses network.
When the network switching control device determines that the network type of current state user terminal access is only to connect WiFi, institute
It states user terminal and the WiFi network is accessed according to the access style that the network switching control device determines, without AP
Switching between (Wireless Access Point, wireless access points).When the network switching control device determines currently
Status user terminate into network type be when only connecting LiFi, the user terminal is determined according to the network switching control device
Access style accesses LiFi network, equally without the switching between AP.When the network switching control device determines current state
When the network type of user terminal access is LiFi/WiFi, the user terminal connects according to what the network switching control device determined
Entering type can switch between LiFi network and WiFi network, be switched to WiFi from LiFi when channel block occurs, and
And former AP is switched back into when LiFi connection restores.On known to network insertion type decision method foundation user terminal in the present invention
One state VLC channel block parameter (including incidence and occupancy) and current state LiFi message transmission rate, utilize SVM
Model selects the maximum access style of equivalent channel, improves user's overall rate performance.
Referring to Fig. 3, for the method flow diagram of training SVM model in an embodiment of the present invention.According to different requirements,
The sequence of step can change in the flow chart, and certain steps can be omitted.For ease of description, it illustrates only and present invention reality
Apply the relevant part of example.
Step S21, the initial data set of user end access style decision is established, it includes user terminal that the primary data, which is concentrated,
In the VLC channel block incidence λ of n-1 staten-1With occupancy ηn-1, and the LiFi transmission speed that do not blocked under current n-state
RateThat is, initial data setWherein n is natural number.
In present embodiment, the initial data set is to collect the information in predetermined time period by user terminal to obtain.
The predetermined time period is the information in longer period of time, and the predetermined time period, which can according to need, to be configured,
Such as one month.In actual scene, user can not know VLC channel block parameter in the current n-state period, known to user terminal
Information is n-1 state incidence λn-1With occupancy ηn-1, and currently n-state does not block LiFi transmission rateTherefore by with
Upper three parameters constitute the initial data set of sample input
The VLC channel block parameter (incidence and occupancy) of user terminal remains unchanged under each state, when state occurs
The VLC channel block parameter of user terminal also changes therewith when change, the incidence λ of current statenWith occupancy ηnOnly with a upper shape
State is related.In present embodiment, training SVM model, which carries out decision, can use state LiFi channel resistance before and after practical indoor scene
Fill in the correlation between parameter.
Step S22, in the initial data set using the non-linear SVM model of Radial basis kernel function training, wherein training
Sample data set is the initial data set x, and label is three kinds of user network access style y, wherein the first tag types y
=1 representative only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 represents LiFi/
WiFi, i.e. user terminal are switched to WiFi from LiFi when visible light channel obstruction occurs and guarantee data transmission, and when LiFi connects
LiFi is switched back into when connecing recovery.
In present embodiment, the currently practical channel block incidence λ measured in predetermined time period is utilizednWith account for
With rate ηnIt calculates the equivalent rate of current state user terminal and chooses the maximum network insertion type of equivalent rate as the instruction
Practice sample data set label y.
Specifically, to a user terminal, effectively transmission time is that time interval T subtracts the channel block time in a state
With time scale remaining after the time occupied by network switching.If κ indicates the access style of user terminal, THIndicate user terminal into
The Vertical Handover time of row network switching accounts for the time interval ratio, and user terminal is passed using the data of WiFi under current state
Defeated efficiency are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then
User terminal equivalent rate r are as follows:
Different access style equivalent rates are calculated using current state actual parameter value, choose the maximum access of equivalent rate
Type is as the training sample data collection label y.
The user terminal of tag types y=1 is permanently attached to WiFi, without the switching between AP；The use of tag types y=2
Family end is always connected to LiFi, without the switching between AP.When LiFi channel block occurs, the user terminal of tag types y=3 from
LiFi is switched to WiFi, and switches back into former AP when LiFi connection restores.Thinking of classifying is as follows, it is contemplated that handover overhead, no
It is that each LiFi user terminal for undergoing VLC channel block should be switched to WiFi.When there is user terminal high channel block to send out
When raw rate, it is switched to which WiFi will lead to frequent switching.In this case, if obstruction occupancy is very high, user terminal
It is preferably continuously connected to WiFi, otherwise user terminal should stay in always in LiFi network.For with low incidence but high occupancy
The user terminal should be switched to WiFi when channel block occurs by the user terminal of rate, and user terminal is between AP in this case
Switching infrequently, while also ensure obstruction occupy period data Robust Transmission.
In present embodiment, trained non-linear SVM model is denoted as y=f (x), wherein include n-1 shape in x vector
State incidence λn-1With occupancy ηn-1, and currently n-state does not block LiFi transmission rateY is network insertion type.
Step S23, test sample data set is obtained, the trained non-linear SVM model decision effect is surveyed
It tries, includes VLC channel block incidence and occupancy of the user terminal in n-1 state in the test sample data set, and work as
The LiFi transmission rate that do not blocked under preceding n-state.
In present embodiment, the method for the test sample data set and the method phase for obtaining the initial data set are obtained
Together, that is, the test sample data set is collected the statistical information in one section of long period by user terminal and obtained.
In present embodiment, training SVM model is executed by the network switching control device, the network switching control
Device processed obtains the initial data set and the training non-linear SVM model by user terminal, and by trained non-linear SVM
The model parameter of model is stored to the preset memory locations of the network switching control device.
After the completion of the non-linear SVM model training, the network switching control device is according to letter known to active user end
Cease -1 state incidence λ of x vector nn-1With occupancy ηn-1, and currently n-state does not block LiFi transmission rate) it is user's decision
Suitable network insertion type y.
In other embodiments of the invention, training SVM model is also possible to be filled by other computers such as Cloud Server
Execution is set, for example, after the network switching control device obtains the initial data set by user terminal, by the primary data
Collection is sent to the Cloud Server, and the Cloud Server is non-linear using Radial basis kernel function training according to the initial data set
After the completion of SVM model and test, the model of the trained non-linear SVM model is sent to the network switching control dress
It sets, the network switching control device is directly the suitable network of user's decision using the trained non-linear SVM model
Access style.
The present invention passes through the suitable user network access style of trained SVM model decision, by this method user
The maximum access style of equivalent channel can be relatively accurately selected in hybrid network, can successfully manage frequent switching
It is negatively affected with obstruction bring is blocked, meets the needs of user is for transmission rate and communication quality, communication is avoided to grow
Time interrupts.The major cost of system is that the training process with non-linear SVM model is established in the collection of sample data set, so
After central processing unit establishes categorized data set and model, directly network can be connect using user terminal currently known information
Enter type and carry out high-speed decision, reduces additional expense.
Fig. 4 is the structure chart for the network insertion type decision device that an embodiment of the present invention provides.
In some embodiments, the network insertion type decision device 200 may include multiple by program code segments
Composed functional module.The program code of each program segment in the network insertion type decision device 200 can store
In the memory of computer installation, and as performed by least one processor, to realize indoor user end network insertion type
Decision making function.
With reference to Fig. 4, in present embodiment, function of the network insertion type decision device 200 according to performed by it can be by
It is divided into multiple functional modules, each functional module is used to execute Fig. 2 and correspond to each step in embodiment, with realization
To the function of indoor user end network insertion type decision.In present embodiment, the network insertion type decision device 200
Functional module may include visible light communication channel block parameter monitoring module 201, message transmission rate acquisition module 202, net
Network access style decision-making module 203, model training module 204.The function of each functional module will in the following embodiments into
Row is described in detail.
The visible light communication channel block parameter monitoring module 201 is used to continue to monitor user with Fixed Time Interval T
VLC (Visible Light Communication, it is seen that optic communication) channel block parameter in each time interval T is held,
In, each time interval T is defined as a state, and the VLC channel block parameter includes channel block incidence λ and occupancy
Rate η.
In present embodiment, the time interval T, which can according to need, is set as suitable time span value.Citing and
Speech, the network switching control device continued to monitor the VLC channel block parameter of user terminal with 60 seconds for a time interval T,
Described first is defined as first state for 60 seconds, and second is defined as the second state in 60 seconds, and so on, n-th 60 seconds
It is defined as the n-th state.Natural number n indicates the serial number of each state.
The corresponding incidence λ of one state (i.e. a time interval T) refers to the VLC channel occurred in the time interval T
Block number, occupancy η is that user terminal encounters time of channel block and accounts for the ratio of the time interval T.Since obstruction occupies
Rate η is the arbitrary number between 0 to 1, and η is carried out discretization with 0.1 precision for the ease of analyzing.
In monitoring process, the VLC channel block ginseng due to the movement of user terminal and barrier, between two adjacent states
Number can accordingly change, and VLC channel block parameter can become newly being worth in NextState.In practical application scene, user can not
Know VLC channel block parameter in the current n-state period, user's Given information is n-1 state block incidence λn-1And occupancy
Rate ηn-1。
The message transmission rate obtains module 202 and obtains under the current n-state of the user terminal visible light communication channel not
LiFi message transmission rate when blocking.
Network insertion type decision module 203 is used for VLC channel block parameter and current state according to previous state
Lower LiFi message transmission rate, according to preparatory trained non-linear SVM (Support Vector Machine, supporting vector
Machine) model determines access style of the maximum access style of equivalent channel as current state user terminal.Network insertion class
Type decision-making module 203 is also used to for the access style of the current state user terminal determined being sent to user terminal, and control is used
Network is accessed with the access style of the determination in family end.
Under each state, network switching control device is that all user terminal decision networks access class in wireless communication system
Type.In the VLC-WiFi hybrid network of mixing indoor Radio Communication System, due to the movement of user terminal and barrier, VLC letter
Road blockage parameter can become newly being worth in NextState, and the time interval between two adjacent states is T, network switching control device
The network insertion type of each user terminal is updated using time interval T as the period.
The model training module 204 is for training the non-linear SVM model.
Specifically, the method for the training of the model training module 204 non-linear SVM model includes the following steps:
Step (1): the initial data set of user end access style decision is established, it includes user that the primary data, which is concentrated,
Hold the VLC channel block incidence λ in n-1 staten-1With occupancy ηn-1, and the LiFi transmission that do not blocked under current n-state
RateThat is, initial data setWherein n is natural number.
In present embodiment, VLC channel block incidence and occupancy are collected in one section of long period by user terminal
What statistical information obtained.In actual scene, user can not know VLC channel block parameter, user terminal in the current n-state period
Given information is n-1 state incidence λn-1With occupancy ηn-1, and currently n-state does not block LiFi transmission rateCause
This is made of the initial data set of sample input three above parameter
The VLC channel block parameter (incidence and occupancy) of user terminal remains unchanged under each state, when state occurs
The VLC channel block parameter of user terminal also changes therewith when change, the incidence λ of current statenWith occupancy ηnOnly with a upper shape
State is related.In present embodiment, training SVM model, which carries out decision, can use state LiFi channel resistance before and after practical indoor scene
Fill in the correlation between parameter.
Step (2) uses the non-linear SVM model of radial base (RBF) kernel function training in the initial data set,
In, training sample data collection is the initial data set x, and label is three kinds of user network access style y, wherein the first mark
Label type y=1 representative only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 is represented
LiFi/WiFi, i.e. user terminal are switched to WiFi from LiFi when visible light channel obstruction occurs and guarantee data transmission, and work as
LiFi connection switches back into LiFi when restoring.
In present embodiment, the currently practical channel block incidence λ measured in predetermined time period is utilizednWith account for
With rate ηnIt calculates the equivalent rate of current state user terminal and chooses the maximum network insertion type of equivalent rate as the instruction
Practice sample data set label y.
Specifically, to a user terminal, effectively transmission time is that time interval T subtracts the channel block time in a state
With time scale remaining after the time occupied by network switching.
If κ indicates the access style of user terminal, THIt is described to indicate that the Vertical Handover time of user terminal progress network switching accounts for
Time interval ratio, user terminal uses the data transmission efficiency of WiFi under current state are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access of user terminal
Type is only to connect LiFi, and κ=LiFi/WiFi represents the access style of user terminal and visible light channel obstruction is occurring as user terminal
When from LiFi be switched to WiFi guarantee data transmission, and when LiFi connection recovery when switch back into LiFi；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then
User terminal equivalent rate r are as follows:
Different access style equivalent rates are calculated using current state actual parameter value, choose the maximum access of equivalent rate
Type is as the training sample data collection label y.
The user terminal of tag types y=1 is permanently attached to WiFi, without the switching between AP；The use of tag types y=2
Family end is always connected to LiFi, without the switching between AP.When LiFi channel block occurs, the user terminal of tag types y=3 from
LiFi is switched to WiFi, and switches back into former AP when LiFi connection restores.Thinking of classifying is as follows, it is contemplated that handover overhead, no
It is that each LiFi user terminal for undergoing VLC channel block should be switched to WiFi.When there is user terminal high channel block to send out
When raw rate, it is switched to which WiFi will lead to frequent switching.In this case, if obstruction occupancy is very high, user terminal
It is preferably continuously connected to WiFi, otherwise user terminal should stay in always in LiFi network.For with low incidence but high occupancy
The user terminal should be switched to WiFi when channel block occurs by the user terminal of rate, and user terminal is between AP in this case
Switching infrequently, while also ensure obstruction occupy period data Robust Transmission.
In present embodiment, trained non-linear SVM model is denoted as y=f (x), wherein include n-1 shape in x vector
State incidence λn-1With occupancy ηn-1, and currently n-state does not block LiFi transmission rateY is network insertion type.
Step (3) obtains test sample data set, surveys to the trained non-linear SVM model decision effect
It tries, includes VLC channel block incidence and occupancy of the user terminal in previous state (n-1 state) in the test sample data set
The LiFi transmission rate that do not blocked under rate and current state (n-state).
In present embodiment, the method for the test sample data set and the method phase for obtaining the initial data set are obtained
Together, that is, the test sample data set is collected the statistical information in one section of long period by user terminal and obtained.
Fig. 5 is the functional block diagram for the network switching control device that an embodiment of the present invention provides.The network
Switching control 10 includes at least communication unit 11, memory 12, processor 13 and is stored in the memory 12 simultaneously
The computer program 14 that can be run on the processor 13, such as network insertion type decision program.The processor 13 is held
The step in above-mentioned network insertion type decision embodiment of the method is realized when the row computer program 14.Alternatively, the processing
Device 13 realizes the function of each module/unit in above-mentioned apparatus embodiment, such as the mould in Fig. 4 when executing the computer program 14
Block 201-204.
Illustratively, the computer program 14 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 12, and are executed by the processor 13, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 14 in the switching control 1 is described.For example, the computer program 14 can be with
The module 201-204 being divided into Fig. 3.
It will be understood by those skilled in the art that the schematic diagram 5 is only the example of network switching control device 10, not
The restriction to network switching control device 10 is constituted, network switching control device 10 may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the network switching control device 10 can also include that input is defeated
Equipment etc. out.
Alleged processor 13 can be central processing unit (Central Processing Unit, CPU), can also wrap
Include other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor 13 is the control centre of the network switching control device 10, entire using various interfaces and connection
The various pieces of network switching control device 10.
The memory 12 can be used for storing the computer program 14 and/or module/unit, and the processor 13 passes through
Operation executes the computer program and/or module/unit being stored in the memory 12, and calls and be stored in memory
Data in 12 realize the various functions of the network switching control device 10.Memory 12 may include exterior storage medium,
It also may include memory.In addition, memory 12 may include high-speed random access memory, it can also include non-volatile memories
Device, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
If the integrated module/unit of the network switching control device 10 is realized in the form of SFU software functional unit and makees
It is independent product when selling or using, can store in a computer readable storage medium.Based on this understanding,
The present invention realizes all or part of the process in above-described embodiment method, can also be instructed by computer program relevant hard
Part is completed, and the computer program can be stored in a computer readable storage medium, the computer program is processed
When device executes, it can be achieved that the step of above-mentioned each embodiment of the method.It should be noted that the computer-readable medium includes
Content can carry out increase and decrease appropriate according to the requirement made laws in jurisdiction with patent practice, such as in certain jurisdictions of courts
Area does not include electric carrier signal and telecommunication signal according to legislation and patent practice, computer-readable medium.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " does not exclude other units or steps, and odd number is not excluded for plural number.It is stated in computer installation claim
Multiple units or computer installation can also be implemented through software or hardware by the same unit or computer installation.The
One, the second equal words are used to indicate names, and are not indicated any particular order.
Finally it should be noted that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although reference
Preferred embodiment describes the invention in detail, those skilled in the art should understand that, it can be to of the invention
Technical solution is modified or equivalent replacement, without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. a kind of network insertion type decision method, applied in the mixing chamber being made of visible light communication and conventional radio frequency communication
In wireless communication system, the indoor Radio Communication System is logical including an at least network switching control device, an at least visible light
Believe equipment, at least a twireless radio-frequency communication equipment and an at least user terminal, which is characterized in that the described method includes:
User terminal is continued to monitor in the visible light communication channel block parameter of each time interval with Fixed Time Interval, wherein
Each time interval is defined as a state, and the channel block parameter includes channel block incidence and occupancy, described
Incidence corresponds to the channel block number occurred in the time interval, when the occupancy is that user terminal encounters channel block
Between account for the ratio of the time interval；
Message transmission rate when visible light communication channel does not block under the user terminal current state is obtained, and according to known
Message transmission rate when the channel block parameter and current state visible light communication channel of previous state are not blocked, according to pre-
First trained Nonlinear Support Vector Machines model determines the maximum access style of equivalent channel as current state user
The access style at end.
2. network insertion type decision method as described in claim 1, which is characterized in that described trained non-linear in advance
The training method of supporting vector machine model includes:
The initial data set of user end access style decision is established, it includes user terminal in previous state that the primary data, which is concentrated,
Message transmission rate when visible light communication channel does not block under channel block incidence and occupancy and current state；
Using the Radial basis kernel function training Nonlinear Support Vector Machines model in the initial data set, wherein training
Sample data set is the initial data set, and label is three kinds of user network access styles, wherein the first tag types y=1
Representative only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 represents LiFi/WiFi,
I.e. user terminal is switched to WiFi guarantee data transmission from LiFi when visible light channel obstruction occurs, and when LiFi connection restores
When switch back into LiFi；
Test sample data set is obtained, the trained Nonlinear Support Vector Machines model decision effect is tested, institute
Stating test sample data set includes that user terminal can under the channel block incidence and occupancy and current state of previous state
Message transmission rate when light-exposed communication channel is not blocked.
3. network insertion type decision method as claimed in claim 2, which is characterized in that the calculation method packet of the label
It includes:
The equivalent of current state user terminal is calculated using the currently practical channel block parameter measured in predetermined time period
Rate simultaneously chooses the maximum network insertion type of equivalent rate as training sample data collection label.
4. network insertion type decision method as claimed in claim 3, which is characterized in that the calculating current state user terminal
Equivalent rate and choose the maximum network insertion type of equivalent rate as training sample data collection label and include:
1) equivalent rate of current state user terminal is calculated:
If κ indicates the access style of user terminal, THIndicate that the Vertical Handover time of user terminal progress network switching accounted between the time
Every ratio, user terminal uses the data transmission efficiency of WiFi under current state are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access style of user terminal
Only to connect LiFi, κ=LiFi/WiFi represent the access style of user terminal as user terminal when visible light channel obstruction occurs from
LiFi is switched to WiFi and guarantees data transmission, and switches back into LiFi when LiFi connection restores；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access style of user terminal
Only to connect LiFi, κ=LiFi/WiFi represent the access style of user terminal as user terminal when visible light channel obstruction occurs from
LiFi is switched to WiFi and guarantees data transmission, and switches back into LiFi when LiFi connection restores；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then user
Hold equivalent rate r are as follows:
2) the maximum network insertion type of equivalent rate is chosen in the user terminal equivalent rate as training sample data collection
Label.
5. network insertion type decision method as claimed in claim 2, which is characterized in that the initial data set is by user
Channel block parameter and visible data transmission rate in the predetermined time period collected is held to constitute.
6. a kind of network insertion type decision device, which is characterized in that described device includes:
Visible light communication channel block parameter monitoring module, for continuing to monitor user terminal in each time with Fixed Time Interval
The visible light communication channel block parameter at interval, wherein each time interval is defined as a state, the channel block ginseng
Number includes channel block incidence and occupancy, and the incidence corresponds to the channel block number occurred in the time interval,
The occupancy is that user terminal encounters time of channel block and accounts for the ratio of the time interval；
Message transmission rate obtains module, for when obtaining that visible light communication channel does not block under the user terminal current state
Message transmission rate；And
Network insertion type decision module, for visible according to the channel block parameter and current state of known previous state
Message transmission rate when optical communication channel does not block determines equivalent according to preparatory trained Nonlinear Support Vector Machines model
Access style of the maximum access style of data rate as current state user terminal.
7. network insertion type decision device as claimed in claim 6, which is characterized in that described device further includes model training
Module, for training the Nonlinear Support Vector Machines model, the model training module training non-linear supporting vector
Machine model includes:
The initial data set of user end access style decision is established, it includes user terminal in previous state that the primary data, which is concentrated,
Message transmission rate when visible light communication channel does not block under channel block incidence and occupancy and current state；
Using the Radial basis kernel function training Nonlinear Support Vector Machines model in the initial data set, wherein training
Sample data set is the initial data set, and label is three kinds of user network access styles, wherein the first tag types y=1
Representative only connects WiFi, and second of tag types y=2 representative only connects LiFi, the third tag types y=3 represents LiFi/WiFi,
I.e. user terminal is switched to WiFi guarantee data transmission from LiFi when visible light channel obstruction occurs, and when LiFi connection restores
When switch back into LiFi；
Test sample data set is obtained, the trained Nonlinear Support Vector Machines model decision effect is tested, institute
Stating test sample data set includes that user terminal can under the channel block incidence and occupancy and current state of previous state
Message transmission rate when light-exposed communication channel is not blocked.
8. network insertion type decision device as claimed in claim 7, which is characterized in that the calculation method packet of the label
It includes:
The equivalent of current state user terminal is calculated using the currently practical channel block parameter measured in predetermined time period
Rate simultaneously chooses the maximum network insertion type of equivalent rate as training sample data collection label；
Wherein, it is described calculate current state user terminal equivalent rate and choose the maximum network insertion type conduct of equivalent rate
Training sample data collection label includes:
1) equivalent rate of current state user terminal is calculated:
If κ indicates the access style of user terminal, THIndicate that the Vertical Handover time of user terminal progress network switching accounted between the time
Every ratio, user terminal uses the data transmission efficiency of WiFi under current state are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access style of user terminal
Only to connect LiFi, κ=LiFi/WiFi represent the access style of user terminal as user terminal when visible light channel obstruction occurs from
LiFi is switched to WiFi and guarantees data transmission, and switches back into LiFi when LiFi connection restores；
User terminal uses the data transmission efficiency of LiFi are as follows:
Wherein, κ=WiFi represents the access style of user terminal only to connect WiFi, and κ=LiFi represents the access style of user terminal
Only to connect LiFi, κ=LiFi/WiFi represent the access style of user terminal as user terminal when visible light channel obstruction occurs from
LiFi is switched to WiFi and guarantees data transmission, and switches back into LiFi when LiFi connection restores；
rLiFiFor the current state LiFi transmission rate that user terminal is an actually-received, rWiFiFor WiFi constant transfer rate, then user
Hold equivalent rate r are as follows:
2) the maximum network insertion type of equivalent rate is chosen in the user terminal equivalent rate as training sample data collection
Label.
9. a kind of switching control, which is characterized in that the switching control includes processor, and the processor is for holding
The network insertion type decision side as described in any one of claim 1-5 is realized when the computer program stored in line storage
Method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The network insertion type decision method as described in any one of claim 1-5 is realized when being executed by processor.
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| CN112202686A (en) * | 2020-09-07 | 2021-01-08 | 鹏城实验室 | Adaptive access identification method for differential flow control and terminal equipment |
| CN114337817A (en) * | 2020-09-29 | 2022-04-12 | 中国移动通信有限公司研究院 | Transmission method, device and communication equipment based on optical communication |
| CN112153713A (en) * | 2020-10-23 | 2020-12-29 | 珠海格力电器股份有限公司 | Obstacle determination method and apparatus, storage medium, and electronic apparatus |
| CN112153713B (en) * | 2020-10-23 | 2021-08-20 | 珠海格力电器股份有限公司 | Obstacle determination method and apparatus, storage medium, and electronic apparatus |
| CN112312501A (en) * | 2020-11-06 | 2021-02-02 | 中国联合网络通信集团有限公司 | Method for determining access network equipment and terminal |
| CN115225205A (en) * | 2022-07-07 | 2022-10-21 | 中国科学院空间应用工程与技术中心 | VLC-RF hybrid communication method, system, medium, and device |
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