CN107846714A - The switching method and equipment of a kind of visible light communication and WiFi heterogeneous systems - Google Patents
The switching method and equipment of a kind of visible light communication and WiFi heterogeneous systems Download PDFInfo
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- CN107846714A CN107846714A CN201711050875.2A CN201711050875A CN107846714A CN 107846714 A CN107846714 A CN 107846714A CN 201711050875 A CN201711050875 A CN 201711050875A CN 107846714 A CN107846714 A CN 107846714A
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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
- 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
- H04W36/00—Hand-off or reselection arrangements
- H04W36/14—Reselecting a network or an air interface
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
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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 embodiment of the present invention provides the switching method and equipment of a kind of visible light communication and WiFi heterogeneous systems.Methods described includes：If entering switching initial equilibrium state, the qos parameter of all candidate networks is obtained, the qos parameter includes available bandwidth, end-to-end delay, shake and the bit error rate；Based on the qos parameter of each candidate network, the qos parameter is normalized and Fuzzy processing, obtains the fuzzy value and weighted value of each parameter in the qos parameter；Based on the fuzzy value and weighted value, the candidate network that performance evaluation value meets preparatory condition is switched to using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and from current network.Parameter real-time change when the embodiment of the present invention is to network switching, it is difficult to the problem of accurate modeling, judgement is switched over according to fuzzy rule, it is not necessary to accurate modeling analysis is carried out to heterogeneous network, the speed of switching is improved, avoids " ping-pong ".
Description
Technical field
The present embodiments relate to communication technical field, more particularly, to a kind of visible light communication and WiFi isomeries system
The switching method and equipment of system.
Background technology
At present, high speed wireless access of future generation wishes further to improve transmission rate by developing new frequency spectrum resource,
Effectively lift the performance under various indoor and outdoor dense network deployed environments.A kind of main skills of the WiFi as wireless data transmission
Art, as continuous growth of the user to wireless Internet demand, available radio spectrum bandwidth are fewer and fewer.In large-scale interior
In place, when access terminal number is more, traditional WiFi modes speed is restricted, and Consumer's Experience effect is difficult effectively to be lifted.
How using limited frequency spectrum resource to improve what the power system capacity of mobile communication was studied into moving communicating field to greatest extent
One of elementary object.Up to the present, although people attempt physical layer transmission from mobile communication, media access control layer
Radio resource allocation and wireless network planning, even by developing millimetre-wave attenuator and the every aspects such as Terahertz communicates, come
The utilization rate of radio spectrum resources is improved, but the anxiety of radio spectrum resources is not alleviated effectively yet.
Visible light communication (VLC, Visible Light Communication) technology is as a kind of illumination and optic communication knot
The Novel Communication pattern of conjunction, high-speed high capacity is provided for the problems such as " frequency spectrum is nervous " of WLAN, " depth covering "
Solution, it is the important means for solving last one kilometer wireless access, and Future broadband accesses and short haul connection direction
The important complementary technology of the next item up.
Visible light communication utilizes semiconductor devices High Speed Modulation characteristic, LED (Light will be modulated to after Signal coding
Emitting Diode) on, the frequency that can not be perceived by human eye making light transmits data in a manner of entering line flicker.Visible ray
The effective supplement to communicate as existing wireless communications technology, it have activated the visible spectrum resource that bandwidth reaches 400THz, frequency spectrum money
Source is very abundant, and permits without frequency, and tranmitting frequency is high, and transmission rate is fast, is that to crack conventional wireless frequency spectrum resource seriously deficient
The important channel of tired office.Particularly when high speed, highdensity demand exceed radio spectrum resources bearing capacity, it is seen that light leads to
The core value of letter can just show that typical scene includes family, office, large-scale public place etc..
However, because visible light communication and other networks lack effective coordination, and itself there is signal cover
It is smaller, the problems such as optical link is unstable, largely reduce the Consumer's Experience of mobile terminal.And proposed at present
Indoor visible light communication system uses line-of-sight transmission mode more, signal be present and is easily blocked and is easily lacked by other light sources interference etc.
Point, although have developed a collection of high speed visible light communication system both at home and abroad, under many circumstances all can not independence networking,
Need with the network interworking such as WiFi, to realize unbroken communication.
Therefore, visible light communication and WiFi isomery UNEs are built, realizes indoor high-speed communication and seamless coverage, being can
See one of important development direction of optic communication.
From the perspective of industrialization, it is seen that optical communication system and WiFi combination network technology are visible light communication keys
One of technological difficulties.The indoor visible light communication system proposed uses line-of-sight transmission mode more, signal be present and is easily hidden
Gear and the shortcomings of easily being disturbed by other light sources, it is more difficult to the function of complete independently networking.The transmission that visible light communication merges with WiFi
Scheme can realize unbroken communication, promote the practicalization of visible light communication.But due to a variety of nets of heterogeneous network
The characteristics of network access, multiple technologies coexist, many kinds of parameters dynamic change so that the heterogeneous network that visible light communication merges with WiFi
Model complexity is not easy to establish.To really realize that isomery UNE interconnects, efficient and rational resource allocation techniques are real
The important step of existing limited network resources reasonable distribution.
Under heterogeneous network, the determinant of network switching becomes more attributes from traditional single signal quality and determined jointly
It is fixed.When user equipment moves between WiFi network and visible light communication network, it is necessary to which quickly network switching mechanism is to keep away
Exempt from wireless broadband services interruption.The speed of switching how is improved, correctly switching target and optimal switching time is selected, avoids
" ping-pong ", it is significant, otherwise easily cause the problems such as switching efficiency is low, signaling consumption is big, waste of radio resources.
The content of the invention
The embodiment of the present invention provides a kind of visible ray for overcoming above mentioned problem or solving the above problems at least in part and led to
The switching method and equipment of letter and WiFi heterogeneous systems.
A kind of one side according to embodiments of the present invention, there is provided the switching side of visible light communication and WiFi heterogeneous systems
Method, including：
If entering switching initial equilibrium state, the qos parameter of all candidate networks is obtained, the qos parameter includes available bandwidth, end
To end delay, shake and the bit error rate；
Based on the qos parameter of each candidate network, the qos parameter is normalized and Fuzzy processing, obtains institute
State the fuzzy value and weighted value of each parameter in qos parameter；
Based on the fuzzy value and weighted value, using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and from
Current network is switched to the candidate network that performance evaluation value meets preparatory condition.
Further, it is described to enter switching initial equilibrium state, further comprise：
When into the blind area of current network or removing the coverage of current network, all-network interface is set to be in activity
State simultaneously carries out access network network scanning, periodically obtains access network information around using the candidate network as switching.
Further, it is described the qos parameter to be normalized and Fuzzy processing, obtain and respectively join in the qos parameter
Several fuzzy values and weighted value, further comprises：
After the qos parameter is normalized, Fuzzy processing is carried out by fuzzy control membership function, obtained
Take the fuzzy value of each parameter in the qos parameter；Distribute the weighted value of each parameter in the qos parameter.
Further, it is described to be based on the fuzzy value and weighted value, utilize the performance of each candidate network of Fuzzy rules acquisi tion
Evaluation of estimate, and the candidate network that performance evaluation value meets preparatory condition is switched to from current network, further comprise：
Based on the qos parameter of each candidate network, by the fuzzy value of each parameter in the qos parameter and the weighted value of itself
With reference to being assessed according to the fuzzy rule of fuzzy rule base, obtain the performance evaluation value of each candidate network；
Determine that performance evaluation of estimate meets the candidate network of preparatory condition and selects one of them as target handover network, and
The target handover network is switched to from current network.
Specifically, the fuzzy control membership function is：
Triangleshape grade of membership function：The formula of the membership function is as follows：
Wherein, x represents parameter value, and a represents the upper limit of fuzzy set, and the x corresponding to b expressions during membership function maximum takes
Value, c represent the lower limit of fuzzy set.
Further, the weighted value includes：
The weighted value of error rate BER is 0.63593, and the weighted value of end-to-end delay is 0.16052, and the weighted value of shake is
0.04304, the weighted value of bandwidth is 0.16051.
Other side according to embodiments of the present invention, also provide the switching of a kind of visible light communication and WiFi heterogeneous systems
Device, including：
Parameter acquisition module, if switching initial equilibrium state for entering, obtain the qos parameter of all candidate networks, the QoS ginsengs
Number includes available bandwidth, end-to-end delay, shake and the bit error rate；
Module is blurred, for the qos parameter based on each candidate network, the qos parameter is normalized and mould
Gelatinization is handled, and obtains the fuzzy value and weighted value of each parameter in the qos parameter；And
Network handover module, for based on the fuzzy value and weighted value, utilizing each candidate network of Fuzzy rules acquisi tion
Performance evaluation value, and be switched to the candidate network that performance evaluation value meets preparatory condition from current network.
Other side according to embodiments of the present invention, also provide the switching of a kind of visible light communication and WiFi heterogeneous systems
Equipment, including：
At least one processor；And
At least one memory being connected with the processor communication, wherein：
The memory storage has and by the programmed instruction of the computing device, the processor described program can be called to refer to
Order is able to carry out the switching method of visible light communication of the embodiment of the present invention and WiFi heterogeneous systems and its any alternative embodiment
Method.
According to another aspect of the present invention, there is provided a kind of non-transient computer readable storage medium storing program for executing, it is characterised in that institute
Non-transient computer readable storage medium storing program for executing storage computer instruction is stated, the computer instruction makes the computer perform the present invention
The method of embodiment visible light communication and the switching method and its all alternative embodiments of WiFi heterogeneous systems.
The embodiment of the present invention proposes the switching method and equipment of a kind of visible light communication and WiFi heterogeneous systems, and it is reasonable to choose
Decision parameter such as available bandwidth, end-to-end delay, shake and the bit error rate, the judgement to visible light communication and WiFi heterogeneous networks
Parameter real-time change, it is difficult to the problem of accurate modeling, proposes the handoff algorithms based on fuzzy logic, static select permeability is promoted
To dynamic, comprehensive analysis is carried out to network parameter and network the present situation, solves the bottleneck for accessing selection；According to fuzzy rule
Switch over judgement, it is not necessary to accurate modeling analysis is carried out to the system of heterogeneous network, meets the change of heterogeneous network dynamic state of parameters
The characteristics of change, the speed of switching is improved, avoided " ping-pong ".
Brief description of the drawings
Fig. 1 is the switching method schematic flow sheet of a kind of visible light communication of the embodiment of the present invention and WiFi heterogeneous systems；
Fig. 2 is visible light communication of the embodiment of the present invention and WiFi heterogeneous network converged model schematics；
Fig. 3 A and Fig. 3 B are the score example of VLC network-fuzzy logic systems of the embodiment of the present invention；
Fig. 4 is a kind of visible light communication of the embodiment of the present invention and the block schematic illustration of the switching equipment of WiFi heterogeneous systems.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
It is the needs for making up radio spectrum resources wretched insufficiency to promote visible light communication and the research of WiFi heterogeneous networks.If
The wireless access of " last one kilometer " can be completed using visible ray auxiliary radio communication, it is substantial amounts of to use using hybrid network pattern
User data can be transmitted by visible light communication network, so as to reduce the customer flow pressure of WiFi network, both be saved
Radio spectrum resources, improve frequency spectrum service efficiency, decrease the risk of overall network congestion, can greatly alleviate wireless
The anxiety of frequency spectrum resource, lift spectrum efficiency and wireless capacity.
Joint handoff algorithm of the embodiment of the present invention based on fuzzy logic, stronger in communication party's tropism and easy mutual interference can
See in light heterogeneous network, the time delay in handoff procedure can be reduced, prevent pingpang handoff.
Fig. 1 is the switching method schematic flow sheet of a kind of visible light communication of the embodiment of the present invention and WiFi heterogeneous systems, such as
Shown in Fig. 1, the switching method of a kind of visible light communication and WiFi heterogeneous systems, its executive agent is subscriber terminal equipment, including：
S100, if entering switching initial equilibrium state, the qos parameter of all candidate networks is obtained, the qos parameter includes available band
Width, end-to-end delay, shake and the bit error rate；
In the embodiment of the present invention, the network state that user terminal is detected according to itself judges whether to need progress network to cut
Change；If desired network switching is carried out, then into switching state.Network switching described in the embodiment of the present invention refers to lead in visible ray
Switched between communication network and WiFi network.The switch decision parameter that the embodiment of the present invention is considered is qos parameter, to visible
Optical communication network and WiFi network all obtain these parameters, therefore network switching described in the embodiment of the present invention is included from one
WiFi network is switched to another WiFi network, and another visible light communication network is switched to from a visible light communication network,
A WiFi network is switched to from a visible light communication network, and a visible light communication is switched to from a WiFi network
Network.
Switch decision parameter should embody network synthesis performance, and it is most accurate to consider that parameter as much as possible is made for decision algorithm
True decision-making is critically important, but is difficult to include all parameters in a variable structure contorl model, because can so make calculation
The complexity of method greatly increases, and the collision problem of multiple attributes also occurs.Consider network qos parameter include available bandwidth,
End-to-end delay, shake, the bit error rate (BER).Bandwidth can effectively reflect the state of affairs of current network, compare for bandwidth requirement
High business is particularly important；The time delay of network will directly influence the QoS and user of network perception；Shake is the change of time delay
Change, it is influenceed by network stabilization and channel delay；BER is also the important parameter for reflecting network performance.Therefore the present invention is real
Applying switch decision parameter in example includes available bandwidth, end-to-end delay, shake and the bit error rate in qos parameter.
S200, based on the qos parameter of each candidate network, the qos parameter is normalized and Fuzzy processing, obtained
Take the fuzzy value and weighted value of each parameter in the qos parameter；
The embodiment of the present invention is blurred by step S200 to switch decision parameter.Fuzzy logic is by simulating human brain
The mode of thinking, it is not necessary to accurately modeled to system, with reference to conventional research experience to network parameter and the current shape of network
Condition carries out comprehensive analysis, so as to draw final choice result, solves the bottleneck for accessing selection.Weight described in the embodiment of the present invention
Value needs the weight relationship for reflecting switch decision parameter according to different types of service.
S300, based on the fuzzy value and weighted value, using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion,
And it is switched to the candidate network that performance evaluation value meets preparatory condition from current network.
The embodiment of the present invention is gone by step S300 using fuzzy rule to being blurred later switch decision parameter
Blurring, the performance evaluation value of quantization is obtained, it is convenient referred to during network switching.
A candidate network for meeting preparatory condition, refer to the preparatory condition set based on the embodiment of the present invention, root
Go to adjudicate according to the performance evaluation value of each candidate network, one or more candidate networks for meeting preparatory condition may be obtained,
And network switching is only switched into a network, therefore when there is a candidate network to meet preparatory condition, it is switched to the candidate
Network；When multiple candidate networks meet constraints, then a candidate network is selected in multiple candidate networks, and be switched to institute
The candidate network of selection.
Preparatory condition described in the embodiment of the present invention can not made herein depending on network design situation and network performance demand
It is specific to limit.Preferably, the preparatory condition is that performance evaluation value meets specific threshold.Preferably, the preparatory condition is property
Can evaluation of estimate highest.
The embodiment of the present invention proposes the switching method and equipment of a kind of visible light communication and WiFi heterogeneous systems, and it is reasonable to choose
Decision parameter such as available bandwidth, end-to-end delay, shake and the bit error rate, the judgement to visible light communication and WiFi heterogeneous networks
Parameter real-time change, it is difficult to the problem of accurate modeling, proposes the handoff algorithms based on fuzzy logic, static select permeability is promoted
To dynamic, comprehensive analysis is carried out to network parameter and network the present situation, solves the bottleneck for accessing selection；According to fuzzy rule
Switch over judgement, it is not necessary to accurate modeling analysis is carried out to the system of heterogeneous network, meets the change of heterogeneous network dynamic state of parameters
The characteristics of change, the speed of switching is improved, avoided " ping-pong ".
Enter switching initial equilibrium state in an optional embodiment, described in S100, further comprise：
When into the blind area of current network or removing the coverage of current network, all-network interface is set to be in activity
State simultaneously carries out access network network scanning, periodically obtains access network information around using the candidate network as switching.
Fig. 2 is visible light communication of the embodiment of the present invention and WiFi heterogeneous network converged model schematics, as shown in Fig. 2 bag
A WiFi network and 2 visible light communication networks are included, 2 visible light communication networks are respectively VLC1 and VLC2.It is assumed that user
The current network of terminal is WiFi network, and user terminal judges whether receive information intensity RSS is less than threshold value, if being less than threshold value
The judgement of switching is then initiated, then when showing into the blind area of WiFi network or removing the coverage of WiFi network, obtains week
The access network information enclosed initiates switch decision, into switching state using the candidate network as switching such as VLC1 and VLC2.
The qos parameter is normalized in an optional embodiment, described in S200 and Fuzzy processing, obtained
The fuzzy value and weighted value of each parameter in the qos parameter are taken, is further comprised：
S200.1, after the qos parameter is normalized, it is blurred by fuzzy control membership function
Processing, obtain the fuzzy value of each parameter in the qos parameter；
In the embodiment of the present invention, user terminal constantly collects the information of all candidate networks, including available bandwidth, end-to-end
Delay, shake, the bit error rate, are integrated according to the parameter of these collections.Because qos parameter possesses very big ambiguity, usually
Weighed with just, therefore, calculated using the network score based on fuzzy logic.For example, for the bit error rate, section [0,1e-4]
For " low ", section [1e-5,1e-3] for " in ", section [1e-4,1e-1] is " height ".
Wherein, it is described that the qos parameter is normalized, including to each parameter in qos parameter as can use
Bandwidth, end-to-end delay, shake and the bit error rate are normalized respectively.
The fuzzy control membership function is as follows：
Wherein, x represents parameter value, and a represents the upper limit of fuzzy set, and the x corresponding to b expressions during membership function maximum takes
Value, c represent the lower limit of fuzzy set.
S200.2, distribute the weighted value of each parameter in the qos parameter.
In the embodiment of the present invention, place is normalized to these switch decision parameters that are complicated, being not easy to judge in user terminal
Manage and Fuzzy processing is carried out to the information of input by fuzzy control membership function；Distribute the weight of each judgement factor
Value.Weighted value needs the weight relationship for reflecting input parameter according to different types of service.
In an optional embodiment, the weighted value includes：
Based on the fuzzy judgment matrix, according to the weight of each parameter in the different type of service acquisition qos parameters
Value, such as table 1：
The parameters weighting table of table 1
| Type of service | Error rate BER | End-to-end delay | Shake | Bandwidth |
| Data service | 0.63593 | 0.16052 | 0.04304 | 0.16051 |
In an optional embodiment, the fuzzy value and weighted value are based on described in S300, utilizes Fuzzy rules acquisi tion
The performance evaluation value of each candidate network, and it is switched to candidate's net that performance evaluation value meets preparatory condition from current network
Network, further comprise：
S300.1, based on the qos parameter of each candidate network, by the fuzzy value of each parameter in the qos parameter and itself
Weighted value combine, assessed according to the fuzzy rule of fuzzy rule base, obtain the performance evaluation value of each candidate network；
Fuzzy rule base described in the embodiment of the present invention includes the decision rule and WiFi network of VLC network-fuzzy logic systems
The decision rule of fuzzy logic system；
Wherein, the decision rule of the VLC network-fuzzy logics system specifically includes：Arrived according to bandwidth B andwidth, end
End delay E2Edelay, shake Jitter and error rate BER, the score Score of VLC network-fuzzy logic systems is set；Wherein,
The score Score includes some grades；It is preferred that the score Score includes four grades, respectively S1, S2, S3 and S4, its
Middle S1, S2, S3 and S4 specific score value can be set according to different system situations.
The decision rule of the WiFi network fuzzy logic system specifically includes：According to bandwidth B andwidth, end-to-end prolong
Slow E2Edelay, shake Jitter and error rate BER, are set
The score Score of WiFi network fuzzy logic system；Wherein, the score Score includes some grades；It is preferred that institute
Stating score Score includes four grades, respectively S1, S2, S3 and S4, wherein S1, and S2, S3 and S4 specific score value can be according to differences
System situation set.
Wherein, the fuzzy value of each parameter is combined with the weighted value of itself, is specifically：By each parameter value and table of decision rule
The weighted value that parameter is corresponded in 1 is combined.Specifically include：By the bandwidth in the decision rule of VLC network-fuzzy logic systems
Bandwidth is combined with the weighted value of the bandwidth in table 1, and the end in the decision rule of VLC network-fuzzy logic systems is arrived
End delay E2Edelay is combined with the weighted value of the end-to-end delay in table 1, the decision rule of VLC network-fuzzy logic systems
In shake Jitter be combined with the weighted value of the shake in table 1, the mistake in the decision rule of VLC network-fuzzy logic systems
Code check BER is combined with the weighted value of the error rate BER in table 1.
In a specific application example, the decision rule of VLC network-fuzzy logic systems is as follows：
If Bandwidth=low, E2Edelay=low, Jitter=low, BER=low, then Score=S1；
If Bandwidth=low, E2Edelay=low, Jitter=low, BER=medium, then Score=S2；
If Bandwidth=low, E2Edelay=low, Jitter=low, BER=high, then Score=S4；
If Bandwidth=low, E2Edelay=low, Jitter=high, BER=low, then Score=S2；
If Bandwidth=low, E2Edelay=low, Jitter=high, BER=medium, then Score=S2；
If Bandwidth=low, E2Edelay=low, Jitter=high, BER=high, then Score=S4；
If Bandwidth=low, E2Edelay=high, Jitter=low, BER=low, then Score=S2；
If Bandwidth=low, E2Edelay=high, Jitter=low, BER=medium, then Score=S3；
If Bandwidth=low, E2Edelay=high, Jitter=low, BER=high, then Score=S4；
¨¨¨¨
By that analogy.
In a specific application example, the decision rule of WiFi network fuzzy logic system is as follows：
If Bandwidth=low, E2Edelay=low, Jitter=low, BER=low, then Score=S1；
¨¨¨¨
If Bandwidth=medium, E2Edelay=high, Jitter=low, BER=low, then Score=S2；
If Bandwidth=medium, E2Edelay=high, Jitter=low, BER=medium, then Score=
S3；
If Bandwidth=medium, E2Edelay=high, Jitter=low, BER=high, then Score=S5；
If Bandwidth=medium, E2Edelay=high, Jitter=high, BER=low, then Score=S2；
If Bandwidth=medium, E2Edelay=high, Jitter=high, BER=medium, then Score=
S4；
If Bandwidth=medium, E2Edelay=high, Jitter=high, BER=high, then Score=
S5；
¨¨¨¨
If Bandwidth=high, E2Edelay=high, Jitter=high, BER=high, then Score=S5；
Wherein, because available bandwidth, end-to-end delay, shake, the bit error rate these parameters possess very big ambiguity, usually
With high (high), in (medium), low (low) weigh.Such as, for the bit error rate, it will be assumed that section [0,1e-4] is low,
Section [1e-5,1e-3] is medium, and section [1e-4,1e-1] is high.Certainly, this interval value can be according to the reality of network
Border situation and change.
S300.2, determine that performance evaluation of estimate meets the candidate network of preparatory condition and selected one of as target switching
Network, and it is switched to the target handover network from current network.
If the preparatory condition is performance evaluation value highest, user terminal selecting performance evaluation value highest candidate network
As target handover network, the selection course of whole objective network is finally completed.
Fig. 3 A and Fig. 3 B are the score example of VLC network-fuzzy logic systems of the embodiment of the present invention, such as Fig. 3 A and Fig. 3 B institutes
Show, wherein Bandwidth=5.5e+0.4, E2Edelay=95.5, Jitter=7, BER=0.055, then by fuzzy judgment
Score=2 can be drawn after system.
In summary, handoff algorithms of the embodiment of the present invention based on fuzzy logic consider qos parameter as decision parameter.Sentence
Certainly process is as follows：Available network first around detection, the QoS information of network is then obtained, followed by fuzzy logic system
Switch decision is made, finally selects the network of a switching highest scoring to complete the vertical of network as switching objective network and cuts
Change.
The embodiment of the present invention is directed to the decision parameter real-time change of visible light communication and WiFi heterogeneous networks, is difficult to accurately build
The problem of mould, propose the joint handoff algorithm based on fuzzy logic, static select permeability be generalized to dynamic, to network parameter and
Network the present situation carries out comprehensive analysis, solves the bottleneck for accessing selection.The joint handoff algorithm that the embodiment of the present invention proposes
Access network network is assessed using ambiguity function, the input using the critical index of switch decision as Fuzzy control system,
Judgement is switched over according to fuzzy rule, it is not necessary to accurate modeling analysis is carried out to the system of heterogeneous network, meets heterogeneous network
Network dynamic state of parameters change the characteristics of, can quick network switching, bring beneficial effect.
The embodiment of the present invention also provides the switching device of a kind of visible light communication and WiFi heterogeneous systems, including：
Parameter acquisition module, if switching initial equilibrium state for entering, obtain the qos parameter of all candidate networks, the QoS ginsengs
Number includes available bandwidth, end-to-end delay, shake and the bit error rate；
Module is blurred, for the qos parameter based on each candidate network, the qos parameter is normalized and mould
Gelatinization is handled, and obtains the fuzzy value and weighted value of each parameter in the qos parameter；And
Network handover module, for based on the fuzzy value and weighted value, utilizing each candidate network of Fuzzy rules acquisi tion
Performance evaluation value, and be switched to the candidate network that performance evaluation value meets preparatory condition from current network.
The device of the embodiment of the present invention, available for the switching for performing visible light communication and WiFi heterogeneous systems shown in Fig. 1
The technical scheme of embodiment of the method, its implementing principle and technical effect is similar, and here is omitted.
In an optional embodiment, the blurring module further comprises fuzzy value cell and weight value cell；
The fuzzy value cell, after the qos parameter is normalized, pass through fuzzy control degree of membership letter
Number carries out Fuzzy processing, obtains the fuzzy value of each parameter in the qos parameter；
The weight value cell, distribute the weighted value of each parameter in the qos parameter.
In an optional embodiment, the network handover module further comprises that performance evaluation value cell and switching are single
Member；
The performance evaluation value cell, for the qos parameter based on each candidate network, will respectively it join in the qos parameter
Several fuzzy values is combined with the weighted value of itself, is assessed according to the fuzzy rule of fuzzy rule base, obtains each candidate's net
The performance evaluation value of network；
The switch unit, for determining that performance evaluation of estimate meets the candidate network of preparatory condition and the one of work of selection
For target handover network, and the target handover network is switched to from current network.
Fig. 4 shows visible light communication of the embodiment of the present invention and the structured flowchart of the switching equipment of WiFi heterogeneous systems.
Reference picture 4, the equipment, including：Processor (processor) 601, memory (memory) 602 and bus
603；
Wherein, the processor 601 and memory 602 complete mutual communication by the bus 603；
The processor 601 is used to call the programmed instruction in the memory 602, to perform above-mentioned each method embodiment
The method provided, such as including：If entering switching initial equilibrium state, the qos parameter of all candidate networks, the qos parameter are obtained
Including available bandwidth, end-to-end delay, shake and the bit error rate；Based on the qos parameter of each candidate network, to the qos parameter
It is normalized and Fuzzy processing, obtains the fuzzy value and weighted value of each parameter in the qos parameter；Based on the fuzzy value
And weighted value, using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and performance evaluation is switched to from current network
Value meets a candidate network of preparatory condition.
Another embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-including being stored in
Computer program in transitory computer readable storage medium, the computer program include programmed instruction, when described program refers to
Order is when being computer-executed, and computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：If into cutting
Change initial equilibrium state, obtain the qos parameter of all candidate networks, the qos parameter include available bandwidth, end-to-end delay, shake and
The bit error rate；Based on the qos parameter of each candidate network, the qos parameter is normalized and Fuzzy processing, described in acquisition
The fuzzy value and weighted value of each parameter in qos parameter；Based on the fuzzy value and weighted value, each waited using Fuzzy rules acquisi tion
The performance evaluation value of network selection network, and it is switched to the candidate network that performance evaluation value meets preparatory condition from current network.
Another embodiment of the present invention provides a kind of non-transient computer readable storage medium storing program for executing, and the non-transient computer is readable
Storage medium stores computer instruction, and the computer instruction makes the computer perform what above-mentioned each method embodiment was provided
Method, such as including：If entering switching initial equilibrium state, the qos parameter of all candidate networks is obtained, the qos parameter includes available
Bandwidth, end-to-end delay, shake and the bit error rate；Based on the qos parameter of each candidate network, normalizing is carried out to the qos parameter
Change and Fuzzy processing, obtain the fuzzy value and weighted value of each parameter in the qos parameter；Based on the fuzzy value and weight
Value, using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and it is switched to performance evaluation value from current network and meets
One candidate network of preparatory condition.
One of ordinary skill in the art will appreciate that：Realize that the said equipment embodiment or embodiment of the method are only schematic
, wherein can be that physically separate component may not be physically separated for the processor and the memory, i.e.,
A place can be located at, or can also be distributed on multiple NEs.It can select according to the actual needs therein
Some or all of module realizes the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying the labor of creativeness
In the case of dynamic, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
The part that technical scheme substantially in other words contributes to prior art is stated to embody in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including some fingers
Make to cause a computer equipment (can be personal computer, server, or network equipment etc.) to perform each implementation
Method described in some parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
- A kind of 1. switching method of visible light communication and WiFi heterogeneous systems, it is characterised in that including：If entering switching initial equilibrium state, the qos parameters of all candidate networks is obtained, the qos parameter includes available bandwidth, end-to-end Delay, shake and the bit error rate；Based on the qos parameter of each candidate network, the qos parameter is normalized and Fuzzy processing, obtains the QoS The fuzzy value and weighted value of each parameter in parameter；Based on the fuzzy value and weighted value, using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and from current Network switching meets a candidate network of preparatory condition to performance evaluation value.
- 2. according to the method for claim 1, it is characterised in that it is described to enter switching initial equilibrium state, further comprise：When into the blind area of current network or removing the coverage of current network, it is active all-network interface And access network network scanning is carried out, access network information around is periodically obtained using the candidate network as switching.
- 3. according to the method for claim 1, it is characterised in that described that the qos parameter is normalized and is blurred Processing, obtains the fuzzy value and weighted value of each parameter in the qos parameter, further comprises：After the qos parameter is normalized, Fuzzy processing is carried out by fuzzy control membership function, obtains institute State the fuzzy value of each parameter in qos parameter；And distribute the weighted value of each parameter in the qos parameter.
- 4. according to the method described in claim any one of 1-3, it is characterised in that it is described to be based on the fuzzy value and weighted value, Using the performance evaluation value of each candidate network of Fuzzy rules acquisi tion, and it is switched to performance evaluation value from current network and meets to preset One candidate network of condition, further comprises：Based on the qos parameter of each candidate network, by the fuzzy value of each parameter in the qos parameter and the weighted value knot of itself Close, assessed according to the fuzzy rule of fuzzy rule base, obtain the performance evaluation value of each candidate network；Determine that performance evaluation of estimate meets the candidate network of preparatory condition and selects one of them as target handover network, and from work as Preceding network switching is to the target handover network.
- 5. according to the method for claim 3, it is characterised in that the fuzzy control membership function is as follows：<mrow> <mi>&mu;</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>&le;</mo> <mi>a</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <mi>x</mi> <mo>-</mo> <mi>a</mi> </mrow> <mrow> <mi>b</mi> <mo>-</mo> <mi>a</mi> </mrow> </mfrac> <mo>,</mo> <mi>a</mi> <mo><</mo> <mi>x</mi> <mo>&le;</mo> <mi>b</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <mi>c</mi> <mo>-</mo> <mi>x</mi> </mrow> <mrow> <mi>c</mi> <mo>-</mo> <mi>b</mi> </mrow> </mfrac> <mo>,</mo> <mi>b</mi> <mo><</mo> <mi>x</mi> <mo>&le;</mo> <mi>c</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <mi>x</mi> <mo>></mo> <mi>c</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>;</mo> </mrow>Wherein, x represents parameter value, and a represents the upper limit of fuzzy set, the x values corresponding to b expressions during membership function maximum, c tables Show the lower limit of fuzzy set.
- 6. according to the method for claim 1, it is characterised in that the weighted value includes：The weighted value of error rate BER is 0.63593, and the weighted value of end-to-end delay is 0.16052, and the weighted value of shake is 0.04304, the weighted value of bandwidth is 0.16051.
- 7. according to the method for claim 4, it is characterised in that the fuzzy rule base includes VLC network-fuzzy logics system The decision rule of system and the decision rule of WiFi network fuzzy logic system；Wherein, the decision rule of the VLC network-fuzzy logics system specifically includes：According to bandwidth B andwidth, end-to-end prolong Slow E2Edelay, shake Jitter and error rate BER, the score Score of VLC network-fuzzy logic systems is set；The decision rule of the WiFi network fuzzy logic system specifically includes：According to bandwidth B andwidth, end-to-end delay E2Edelay, shake Jitter and error rate BER, the score Score of WiFi network fuzzy logic system is set.
- A kind of 8. switching device of visible light communication and WiFi heterogeneous systems, it is characterised in that including：Parameter acquisition module, if switching initial equilibrium state for entering, obtain the qos parameter of all candidate networks, the qos parameter bag Include available bandwidth, end-to-end delay, shake and the bit error rate；Module is blurred, for the qos parameter based on each candidate network, the qos parameter is normalized and is blurred Processing, obtain the fuzzy value and weighted value of each parameter in the qos parameter；AndNetwork handover module, for based on the fuzzy value and weighted value, utilizing the property of each candidate network of Fuzzy rules acquisi tion Can evaluation of estimate, and be switched to the candidate network that performance evaluation value meets preparatory condition from current network.
- A kind of 9. switching equipment of visible light communication and WiFi heterogeneous systems, it is characterised in that including：At least one processor；AndAt least one memory being connected with the processor communication, wherein：The memory storage has can be by the programmed instruction of the computing device, and the processor calls described program instruction energy Enough perform the method as described in claim 1 to 7 is any.
- 10. a kind of non-transient computer readable storage medium storing program for executing, it is characterised in that the non-transient computer readable storage medium storing program for executing is deposited Computer instruction is stored up, the computer instruction makes the computer perform the method as described in claim 1 to 7 is any.
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