CN108260218A - Cognition vehicle-mounted communication method and system with frequency spectrum distribution function - Google Patents

Cognition vehicle-mounted communication method and system with frequency spectrum distribution function Download PDF

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Publication number
CN108260218A
CN108260218A CN201810333230.8A CN201810333230A CN108260218A CN 108260218 A CN108260218 A CN 108260218A CN 201810333230 A CN201810333230 A CN 201810333230A CN 108260218 A CN108260218 A CN 108260218A
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bird
nest
vehicle
frequency spectrum
frequency
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肖海林
张玉冰
邱斌
蒋为
马得森
金晓晴
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Guilin University of Electronic Technology
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Guilin University of Electronic Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/20Control channels or signalling for resource management
    • H04W72/21Control channels or signalling for resource management in the uplink direction of a wireless link, i.e. towards the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/382Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/20Control channels or signalling for resource management
    • H04W72/23Control channels or signalling for resource management in the downlink direction of a wireless link, i.e. towards a terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/541Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453Resources in frequency domain, e.g. a carrier in FDMA

Abstract

The present invention discloses a kind of cognition vehicle-mounted communication method and system with frequency spectrum distribution function, including the vehicle-mounted cognitive user being arranged on vehicle and the roadside unit for being arranged on roadside;Wherein include frequency spectrum distribution module in roadside unit;Each vehicle-mounted cognitive user includes cognition center processor, cognitive communications machine, base station communication machine, base station center processor, control centre, radio-frequency front-end, baseband processing module and board units;The present invention is utilized and available frequency band is allocated based on the cuckoo searching algorithm that hybrid analog-digital simulation is annealed, it can not only effectively solve the problems, such as that cuckoo algorithm is easily trapped into local optimum in search process, and network throughput can also be effectively promoted compared to the frequency spectrum distribution method therefor of the present invention based on GA algorithms, reach preferable effect.

Description

Cognition vehicle-mounted communication method and system with frequency spectrum distribution function
Technical field
The present invention relates to fields of communication technology, and in particular to a kind of cognition vehicle-mounted communication method with frequency spectrum distribution function And system.
Background technology
Currently, along with the growing day by day of automobile quantity, for the frequency spectrum resource imbalance between supply and demand to communicate between automobile It becomes increasingly conspicuous.Then, cognitive radio with vehicle-carrying communication is combined, there is critically important researching value.Cognitive user can The frequency band for authorizing but being not used by be used, the problem of so as to alleviate In-vehicle networking intermediate frequency spectrum scarcity of resources.And conduct The frequency spectrum distribution of one of vehicle-mounted cognitive radio core technology, then be in the case where meeting specific allocation rule, will be not by abundant profit Mandate frequency range carries out rationally effective distribution, so that cognitive user uses.
Frequency spectrum distribution model is built upon on corresponding interference and constraints.Now common algorithm model is main Have:Turing pattern formation, game theory, auction are bidded.In these models, frequency spectrum assignment problem is carried out using a conflict graph It represents, and the Turing pattern formation model used idle frequency allocation to cognitive user according to different object functions and rule is then It is a kind of more mature algorithm of theory.Researcher has confirmed that frequency spectrum assignment problem is a np hard problem, and to this It is then to utilize intelligent algorithm that a problem, which carries out effective method for solving,.Genetic algorithm, artificial bee colony algorithm etc. are mainly utilized at present To be solved to the frequency spectrum assignment problem based on Turing pattern formation model.And the most classical in these algorithms is exactly using hereditary Algorithm (genetic algorithm, GA) is allocated idle frequency range, but the algorithm has one disadvantage in that:Search precision is not high, This shortcoming can reduce the availability of frequency spectrum.
Invention content
The present invention is directed to which the idle frequency range perceived is reasonably distributed, provide a kind of with frequency spectrum distribution function Vehicle-mounted communication method and system are recognized, to effectively improve the utilization rate of frequency spectrum.
To solve the above problems, the present invention is achieved by the following technical solutions:
Cognition vehicle-mounted communication method with frequency spectrum distribution function, it is as follows including step:
Communication request is sent to roadside unit by step 1, the vehicle-mounted cognitive user for initiating to communicate;
Step 2, roadside unit judge the service condition of DSRC frequency ranges:If it is judged that there is idle frequency in DSRC Result, then informed the vehicle-mounted cognitive user of communicating pair by section, and the vehicle-mounted cognitive user of communicating pair is directly initiated using DSRC frequency ranges Communication;If DSRC frequency ranges without the free time, need to carry out frequency spectrum perception at this time, near frequency spectrum perception order is sent to by roadside unit All vehicle-mounted cognitive users;
Step 3 receives the vehicle-mounted cognitive user that roadside unit sends out frequency spectrum perception order, starts cognitive function to DVB- T authorizes frequency range accurately to be perceived, and sensing results, that is, frequency spectrum service condition is sent to roadside unit;
The sensing results judgement DVB-T that step 4, roadside unit are returned according to vehicle-mounted cognitive user authorizes each height of frequency range Whether frequency range can be used, and available frequency sub-band, that is, idle frequency spectrum is divided using the cuckoo searching algorithm based on simulated annealing Match.
Described in step 4 using the cuckoo searching algorithm based on simulated annealing to available frequency sub-band, that is, idle frequency spectrum into Row distribution is as follows:
Step 4.1, vehicle-mounted cognitive user number to be communicated is set as the number Q of population, the number of available frequency sub-band is set For search space dimension D, the step factor α, setting maximum iteration N of setting Lay dimension flightiterWith setting detection probability P a;
Step 4.2, Q Bird's Nest of generation, and the position vector of Bird's Nest is mapped to obtain allocation matrix at random;
Step 4.3, the fitness value for calculating each Bird's Nest, and retain the Bird's Nest of fitness value maximum as optimal Bird's Nest;
Step 4.4, the step factor α based on setting carry out Bird's Nest position Lay dimension flight iteration, update Bird's Nest position;Meter The fitness value of updated each Bird's Nest is calculated, and is compared with the Bird's Nest before update, it is maximum to leave fitness value in the two Bird's Nest;
Step 4.5 judges whether Bird's Nest is absorbed in local optimum;If local optimum wherein is absorbed in there are one Bird's Nest, arbitrarily It extracts part Bird's Nest and performs mechanism of Simulated Annealing, while the remaining Bird's Nest not being drawn into is intersected, calculate institute later The fitness value of obtained Bird's Nest retains the Bird's Nest of fitness value maximum as optimal Bird's Nest, and is transferred to step 4.6;Otherwise, directly Switch through into step 4.6;
Step 4.6, Bird's Nest host have found exotic bird eggs with probability P a, and generate and meet equally distributed random number r;If r > Pa are then updated current optimal Bird's Nest, and are replaced with new Bird's Nest old, the fitness value of all Bird's Nests are obtained, so Afterwards the Bird's Nest of fitness value maximum is carried out being retained as optimal Bird's Nest, and be transferred to step 4.7;Otherwise, directly it is transferred to step 4.7;
Step 4.7 judges whether to reach maximum iteration Niter;If reached, current optimal Bird's Nest is exported, roadside Unit is accordingly allocated idle frequency spectrum;Otherwise, it is transferred to step 4.4.
Cognition Vehicular communication system with frequency spectrum distribution function including the vehicle-mounted cognitive user being arranged on vehicle and is set Put the roadside unit in roadside;Wherein include frequency spectrum distribution module in roadside unit;Each vehicle-mounted cognitive user includes cognition Center processor, cognitive communications machine, base station communication machine, base station center processor, control centre, radio-frequency front-end, Base-Band Processing mould Block and board units;Cognition center processor is connect with cognitive communications machine, and cognitive communications machine is equipped with antenna;On base station communication machine Equipped with antenna, base station communication machine is connect with base station center processor, and base station center processor connects vehicle-mounted list via control centre Member, board units are equipped with antenna;Radio-frequency front-end is equipped with antenna, and radio-frequency front-end is connect with base station center processor, in base station Heart processor is connect with baseband processing module.
Compared with prior art, the present invention using based on the cuckoo searching algorithm that hybrid analog-digital simulation is annealed to available frequency band into Row distribution, can not only effectively solve the problems, such as that cuckoo algorithm is easily trapped into local optimum, Er Qiexiang in search process Than can also effectively promote network throughput in the frequency spectrum distribution this patent method therefor based on GA algorithms, reach preferable effect Fruit.
Description of the drawings
Fig. 1 is the cognition vehicle-mounted communication method flow chart with frequency spectrum distribution function.
Fig. 2 is cognition In-vehicle networking model.
Fig. 3 is the cognition Vehicular communication system block diagram with frequency spectrum distribution function.
Fig. 4 frequency spectrum allocation algorithms of the present invention and averaging network handling capacity comparison diagram of the genetic algorithm under different spectral number.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with specific example, and with reference to attached Figure, the present invention is described in more detail.
Referring to Fig. 1, a kind of cognition vehicle-mounted communication method with frequency spectrum distribution function, this method is based on as shown in Figure 2 In-vehicle networking model is recognized, specific implementation step is as follows:
Communication request is sent to roadside unit by step 1, the vehicle-mounted cognitive user that will initiate to communicate;
Step 2, roadside unit judge the service condition of DSRC (dedicated short-range communication) frequency range:If it is judged that There is idle frequency range in DSRC, then result is informed vehicle to be communicated, and vehicle to be communicated directly initiates communication using DSRC frequency ranges;If DSRC frequency ranges need to carry out at this time frequency spectrum perception without the free time, roadside unit by this order be sent near all vehicle-mounted recognize Know user;
Step 3, vehicle-mounted cognitive user start cognitive function after the order for receiving roadside unit unlatching frequency spectrum perception, and The mandate frequency range of DVB-T is accurately perceived according to relevant algorithm, finally, vehicle-mounted cognitive user makes the frequency spectrum of perception Roadside unit is sent to situation;
Each height of sensing results judgement DVB-T frequency ranges that step 4, roadside unit are returned according to all vehicle-mounted cognitive users Whether frequency range can be used, and available frequency sub-band is reasonably distributed.
Idle frequency spectrum out is perceived as a result, we are by one M × N-dimensional of available idle frequency spectrum matrix L according to final Matrix be expressed as below:
L={ lm,n|lm,n∈{0,1}}M×N
Wherein, m is cognitive user;N is authorizes frequency range;M is the number of cognitive user;N is the number of idle frequency range;lm,n It can be utilized for available n by m, lm,n=1, represent available, lm,n=0, it represents unavailable.
Beneficial matrix B represents as follows:
B={ bm,n}M×N
Wherein, m is cognitive user;N is authorizes frequency range;M is the number of cognitive user;N is the number of idle frequency range;bm,n The greatest benefit of the indexs such as the transmission rate and handling capacity that can be obtained during for cognitive user to frequency range is authorized to use, And in lm,nIn the case of=0, bm,n=0.
Interference matrix C represents as follows:
C={ cm,k,n|cm,k,n∈{0,1}}M×M×N
Wherein, m is cognitive user;N is authorizes frequency range;M is the number of cognitive user;N is the number of idle frequency range;cm,k,n Interference whether is had when simultaneously using mandate frequency range n for vehicle-mounted cognitive user m, k to generate, cm,k,n=0 represents to produce Raw interference;cm,k,nIt represents that interference can be generated when=1.
Allocation matrix A represents as follows:
A={ am,n|am,n∈{0,1}}M×N
Wherein, m is cognitive user;N is authorizes frequency range;M is the number of cognitive user;N is the number of idle frequency range.A tables Understand a kind of feasible spectrum allocation schemes.And there is following rule:am,n=1 represents cognitive user to m to frequency range n is authorized to carry out It uses;am,n=0 expression is not allocated use.
In the method applied in the present invention, the value of interference matrix C is according to following two because usually being judged:① The distance between two cognitive users.2. transmit radius.It is specific as follows:
Wherein, m, k are two different cognitive users;N is authorizes frequency range;RmTransmission radius for user m;RkFor user k Transmission radius;The distance between user m and k dm,k=dk,m
Given noiseless frequency spectrum allocation matrix A, describes a kind of feasible allocation plan, and A must satisfy it is following Condition:
Wherein, m, k are two different cognitive users;N is authorizes frequency range;M is cognitive user number;N is idle frequency range Number;am,nAnd ak,nIt indicates whether available frequency band n being allocated to cognitive user m and k;cm,k,nRepresent vehicle-mounted cognitive user m, k Interference whether is had when simultaneously to frequency range n is authorized to use to generate.
Cognition network total benefit function U (A) is expressed as below by fitness function:
Wherein, m is cognitive user;N is authorizes frequency range;M is the number of cognitive user;N is the number of idle frequency range;am,n It represents frequency range n being allocated to user m;bm,nRepresent user m greatest benefits acquired during frequency range n is used.
In the invention, the Bird's Nest position in the cuckoo searching algorithm annealed to hybrid analog-digital simulation is needed to carry out binary system volume Code, coding rule are as follows:
Wherein, j=1,2,3 ... Pop, Pop are population quantity;I=1,2,3 ..., D, D for optimization dimension;Rand is Value between (0,1) that randomly generates;The i-th dimension of j-th of former Bird's Nest position is represented, its expression can be by binary coding 1 probability.
The principle of cuckoo searching algorithm based on hybrid analog-digital simulation annealing is as follows:
(4.0) Le ' vy iteration is carried out to Bird's Nest position.Solve the fitness value of Bird's Nest of new generation, and by this Bird's Nest institute For the value of solution compared with last time, the two retains better Bird's Nest.The location of Bird's Nest is updated using following formula:
Wherein,Represent the position of Bird's Nest the t times iteration of i;N (0,1) represents the standardized normal distribution of D dimensions;Represent point pair Point multiplication;α represents step factor;Step represents the arbitrary width that Le ' vy distributions generate;Represent the optimal bird of the t times iteration Nest;
(4.1) it is evaluated by the fitness value change rate to optimal Bird's Nest, to judge whether algorithm is absorbed in part most It is excellent.Judged using following formula:
Wherein,It is the optimal Bird's Nest fitness value of current iteration,Be be located at this before the m time change For fitness value, λ represents threshold value, can be set.
Step (4.2) is judged according to the formula in (4.1), if result is less than threshold value, illustrates that algorithm is absorbed in part Optimal, our arbitrary extracting part Bird's Nests simultaneously perform simulated annealing operation, and be not drawn into remaining according to the following steps Bird's Nest intersected two-by-two, then performing Bird's Nest that simulated annealing operation generates with crossing Bird's Nest altogether, and The fitness value of whole Bird's Nests is calculated, and the optimal Bird's Nest of fitness value is retained, and be transferred to (4.4).
(4.2.1) provides Cooling -schedule parameter, iteration initial solution x0With fitness value f (x0), and Cooling -schedule parameter Including:It can be to initial value T that parameter T is controlled0, attenuation coefficient A, final value f1And the Markov Chain that length is L;
(4.2.2) works as T=TkWhen, we carry out L search using following steps:
(4.2.2.1) is according to current solution position xk, the position x for generating next-generation solution is iterated according to following formulak+1
Wherein:Represent point-to-point addition, random represents one group of random number;
Random number β of step (4.2.2.2) generation with following features:It is taken on (0,1) section and on the section From being uniformly distributed, it is obtained using following formula in currently solution xkWith temperature TkIt is opposite with Metropolis acceptance criterions in the case of given The transition probability P answered:
If β < P, take new explanation xk=xk+1;If β >=P, currently solve constant;
(4.2.2.3) is if searching times are less than L, return to step (4.2.2.1);Otherwise enter (4.2.3).
(4.2.3) judges whether to meet stopping criterion for iteration, if satisfied, then terminating iteration;If not satisfied, it is then transferred to (4.2.2), and temperature is updated to Tk+1, and it is balanced an optimizing at such a temperature.
(4.3) if being unsatisfactory for the formula in (4.1), illustrate not to be absorbed in local optimum, then do not have to carry out simulated annealing behaviour Make, be directly entered (4.4).
(4.4) Bird's Nest host has found exotic bird eggs with probability P a.Generation meets equally distributed random number r, r ∈ (0,1), If r > Pa, the Bird's Nest found is carried out random variation operation, and replace old Bird's Nest with new Bird's Nest, the suitable of all Bird's Nests is obtained Angle value is answered, then the Bird's Nest optimal to fitness value retains;
(4.5) reservation record is carried out to history optimal solution, and whether stopping criterion for iteration is reached to algorithm and is judged.
Based on defined above, available frequency band is allocated using the cuckoo searching algorithm annealed based on hybrid analog-digital simulation Frequency spectrum distributing method carries out in accordance with the following steps:
Step 4.1, initialization relevant parameter.If the number of population is Q, (vehicle-mounted cognitive user number to be communicated is population Number be Q), and using idle frequency spectrum matrix L be according to obtain search space dimension D (number of idle frequency sub-band be search Space dimensionality D), maximum iteration Niter, step factor α, detection probability P a.
Step 4.2, initialization population.Q Bird's Nest of generation at random, i.e.,By the position of Bird's Nest It puts vector to be mapped, obtains following allocation matrix:
X '={ xm,n|xm,n∈{0,1}}M×N
And the matrix meets:
Wherein, m, k are two different cognitive users;N is authorizes frequency range;M is cognitive user number;N is idle frequency range Number;xm,nAnd xk,nWhether available frequency band n to be allocated to cognitive user m and k;cm,k,nBe vehicle user m, k simultaneously to awarding Whether power frequency range n has interference when being used generates.
The fitness function of step 4.3, following array function as Bird's Nest, and each Bird's Nest is obtained using the formula Fitness value retains the Bird's Nest of optimal (i.e. fitness value is maximum) as current optimal Bird's Nest;
Wherein, xm,nRepresent the middle element of allocation matrix;T represents the period transmitted into row information;Represent that cognitive user is not less than the usable duration of available frequency band the probability of T;Represent the rate of information throughput.
Step 4.4 is respectively N to the number that each Bird's Nest position is iteratediterLe ' vy iteration.With following formula more New Bird's Nest position, and the fitness value of Bird's Nest after update every time is obtained, and be compared with the fitness value of the Bird's Nest before update, Leave preferable Bird's Nest in the two;
Whether step 4.5 is absorbed in local optimum situation when being iterated successively to each Bird's Nest using following formula and judges, See it either with or without being absorbed in local optimum.Until Q Bird's Nest all having been judged stop this step.
Such as the Bird's Nest is absorbed in local optimum, then arbitrary extracting part Bird's Nest perform mechanism of Simulated Annealing, and it is remaining not The Bird's Nest being drawn into is intersected, and then the Bird's Nest after the processing of experience both the above altogether, and the suitable of them is obtained Angle value is answered, and optimal Bird's Nest preserve, as current optimal Bird's Nest, is transferred to step 4.6;
If the Bird's Nest is not absorbed in local optimum, it is directly transferred to step 4.6;
Step 4.6, Bird's Nest host have found exotic bird eggs with probability P a.It generates and meets equally distributed random number r, r ∈ (0, 1), if r > Pa, the Bird's Nest (identified optimal Bird's Nest i.e. in preceding step) found is updated according to the following formula, and with It is new instead of old, the fitness value of all Bird's Nests is obtained, then optimal is retained;
In above formula, β, r ∈ (0,1),It is the two randomly selected Bird's Nest positions in t generations;H () is Heaviside functions.
Step 4.7 judges whether to reach stopping criterion for iteration, if reaching condition (the i.e. greatest iteration time for terminating iteration Number Niter), then history optimal solution (the Bird's Nest position of identified fitness value maximum i.e. in preceding step) is recorded, if Do not reach condition (the i.e. maximum iteration N for terminating iterationiter), then it is transferred to step 4.4 and continues to repeat this process.
The present invention, can not only using being allocated based on the cuckoo searching algorithm that hybrid analog-digital simulation is annealed to available frequency band Effectively solve the problems, such as that cuckoo algorithm is easily trapped into local optimum in search process, and compared to based on GA algorithms Frequency spectrum distribution this patent method therefor can also effectively promote network throughput, reach preferable effect.
Realize the above method the cognition Vehicular communication system with frequency spectrum distribution function, structure diagram as shown in figure 3, The system includes the vehicle-mounted cognitive user being arranged on vehicle and the roadside unit (RSU) for being arranged on roadside.It is wrapped in roadside unit Contain frequency spectrum distribution module.Each vehicle-mounted cognitive user includes cognition center processor, cognitive communications machine, base station communication machine, base It stands center processor, control centre, radio-frequency front-end, baseband processing module and board units (OBU).Center processor is recognized with recognizing Know that communication equipment connects, cognitive communications machine is equipped with antenna.Base station communication machine is equipped with antenna, at base station communication machine and base station center Device connection is managed, base station center processor connects board units via control centre, and board units are equipped with antenna.On radio-frequency front-end Equipped with antenna, radio-frequency front-end is connect with base station center processor, and base station center processor is connect with baseband processing module.Wherein recognize Know that communication equipment and base station communication machine are 2.4G communication equipments.
Fig. 4 is frequency spectrum allocation algorithm of the present invention and average benefit analogous diagram of the genetic algorithm under different spectral number, by scheming As it can be seen that the cuckoo searching algorithm the present invention is based on hybrid analog-digital simulation annealing is allocated idle frequency spectrum, relative to other heredity For algorithm, the availability of frequency spectrum recognized in vehicle-carrying communication can be effectively improved.
It should be noted that although above embodiment of the present invention is illustrative, it is to the present invention that this, which is not, Limitation, therefore the invention is not limited in above-mentioned specific embodiment.Without departing from the principles of the present invention, it is every The other embodiment that those skilled in the art obtain under the enlightenment of the present invention is accordingly to be regarded as within the protection of the present invention.

Claims (3)

1. the cognition vehicle-mounted communication method with frequency spectrum distribution function, it is characterized in that, it is as follows including step:
Communication request is sent to roadside unit by step 1, the vehicle-mounted cognitive user for initiating to communicate;
Step 2, roadside unit judge the service condition of DSRC frequency ranges:If it is judged that there is idle frequency range in DSRC, then Result is informed the vehicle-mounted cognitive user of communicating pair, the vehicle-mounted cognitive user of communicating pair directly initiates communication using DSRC frequency ranges; If DSRC frequency ranges need to carry out frequency spectrum perception at this time, frequency spectrum perception order is sent to neighbouring institute by roadside unit without the free time There is vehicle-mounted cognitive user;
Step 3 receives the vehicle-mounted cognitive user that roadside unit sends out frequency spectrum perception order, starts cognitive function and DVB-T is awarded Power frequency range is accurately perceived, and sensing results, that is, frequency spectrum service condition is sent to roadside unit;
The sensing results judgement DVB-T that step 4, roadside unit are returned according to vehicle-mounted cognitive user authorizes each frequency sub-band of frequency range Whether can be used, and available frequency sub-band, that is, idle frequency spectrum is allocated using the cuckoo searching algorithm based on simulated annealing.
2. there is the cognition vehicle-mounted communication method of frequency spectrum distribution function according to claim 1, it is characterized in that, institute in step 4 State the specific steps being allocated using the cuckoo searching algorithm based on simulated annealing to available frequency sub-band i.e. idle frequency spectrum It is as follows:
Step 4.1, Q Bird's Nest of generation, and the position vector of Bird's Nest is mapped to obtain allocation matrix at random;Wherein Q is will Vehicle-mounted cognitive user number to be communicated;
Step 4.2, the fitness value for calculating each Bird's Nest, and retain the Bird's Nest of fitness value maximum as optimal Bird's Nest;
Step 4.3 carries out Bird's Nest position Lay dimension flight iteration, update Bird's Nest position;Calculate the suitable of updated each Bird's Nest Angle value is answered, and is compared with the Bird's Nest before update, leaves the Bird's Nest of fitness value maximum in the two;
Step 4.4 judges whether Bird's Nest is absorbed in local optimum;If wherein local optimum, arbitrary extracting are absorbed in there are one Bird's Nest Part Bird's Nest performs mechanism of Simulated Annealing, while the remaining Bird's Nest not being drawn into is intersected, obtained by calculating later Bird's Nest fitness value, retain the Bird's Nest of fitness value maximum as optimal Bird's Nest, and be transferred to step 4.5;Otherwise, directly turn Enter step 4.5;
Step 4.5, Bird's Nest host have found exotic bird eggs with the detection probability P a set, and generate and meet equally distributed random number r;If r > Pa, current optimal Bird's Nest is updated, and is replaced with new Bird's Nest old, the fitness of all Bird's Nests is obtained Value, then carries out being retained as optimal Bird's Nest, and be transferred to step 4.6 to the Bird's Nest of fitness value maximum;Otherwise, directly it is transferred to step Rapid 4.6;
Step 4.6 judges whether to reach maximum iteration;If reached, current optimal Bird's Nest is exported, roadside unit is accordingly Idle frequency spectrum is allocated;Otherwise, it is transferred to step 4.3.
3. realize the cognition Vehicular communication system with frequency spectrum distribution function that vehicle-mounted communication method is recognized described in claim 1, It is characterized in that including the vehicle-mounted cognitive user being arranged on vehicle and the roadside unit for being arranged on roadside;Wherein in roadside unit Include frequency spectrum distribution module;Each vehicle-mounted cognitive user include cognition center processor, cognitive communications machine, base station communication machine, Base station center processor, control centre, radio-frequency front-end, baseband processing module and board units;Recognize center processor and cognition Communication equipment connects, and cognitive communications machine is equipped with antenna;Base station communication machine is equipped with antenna, and base station communication machine is handled with base station center Device connects, and base station center processor connects board units via control centre, and board units are equipped with antenna;It is set on radio-frequency front-end There is antenna, radio-frequency front-end is connect with base station center processor, and base station center processor is connect with baseband processing module.
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