CN106254008A - A kind of frequency spectrum sensing method of energy acquisition green cognitive radio - Google Patents

Abstract

The present invention is to provide the frequency spectrum sensing method of a kind of energy acquisition green cognitive radio.One, set up the frequency spectrum perception system model of energy acquisition green cognitive radio；Two, initialize population；Three, the fitness that all quantum in all populations are individual is evaluated；Four, carry out the quantum individuality within each population respectively mixing quantum differential evolution；Five, meet some requirements the globally optimal solution between each population of lower comparison at iterations, if globally optimal solution is the most identical, the individuality in population is carried out extinction process；Six, not terminating if evolved, returning step 4, otherwise performing step 7；Seven, terminate iteration, export the quantum state that global optimum's quantum of any population is individual, be mapped as feasible solution according to mapping ruler.Obtain the optimum energy acquisition factor and channel-aware number it is contemplated that combine, under the conditions of known to secondary user's required throughput, seek the least energy acquisition rate of system, it is achieved the theory of green communications.

Description

A kind of frequency spectrum sensing method of energy acquisition green cognitive radio

Technical field

The method that the present invention relates to the frequency spectrum perception of a kind of cognitive radio.

Background technology

Along with developing rapidly of telecommunications, the problem of frequency spectrum resource shortage becomes increasingly severe.Simultaneously along with communication Terminal variation, the intelligent and development of widescreen, the power consumption of mobile device also becomes increasingly to can not be ignored.How to carry It is current urgent problem that the availability of frequency spectrum of high communication system reduces energy expenditure simultaneously, and the concept of " green communications " is also Arise at the historic moment.

Comparing common communication system, cognitive radio system needs wireless electromagnetic environment is carried out perception, passes through perception Function finds available channel, and adaptive adjustment systematic parameter, under the precondition not disturbing authorized user, optimal Frequency spectrum cavity-pocket is utilized to obtain the data transmission throughput of maximum, it is achieved cognitive user and authorized user share same frequency range, with This improves the utilization rate of Radio Resource.

Nearly 2 years, energy acquisition technology increasingly came into one's own, because energy acquisition technology can not only relax energy greatly Source is not enough, and is a kind of low-carbon environment-friendly technology.Wireless signal also carries energy while the information of carrying, in such environment Various interference signals will be turned waste into wealth by energy acquisition technology.Accordingly, it is capable to gather the frequency spectrum perception of cognitive radio Technology has obtained paying close attention to widely." the cognition based on improvement shuffled frog leaping algorithm that Zheng Shilian etc. deliver on " Acta Physica Sinica " Radio collaboration frequency spectrum perception " propose the spectrum sensing scheme of the shuffled frog leaping algorithm of improvement, do not utilize energy acquisition skill Art, is only studied detection probability.Yin Sixing etc. are at IEEE International Conference on " the Optimal Saving-Sensing-Transmitting Structurein delivered in Communications meeting Self-Powered Cognitive Radio Systems with Wireless Energy Harvesting " energy is adopted Secondary user throughput problem in the cognitive radio frequency spectrum cognition technology of collection is discussed, but can not try to achieve time user institute The least energy acquisition rate needed, has room for improvement.

Summary of the invention

It is an object of the invention to provide a kind of energy requirement minimum, the energy acquisition low to the hardware requirement of energy acquisition The frequency spectrum sensing method of green cognitive radio.

The object of the present invention is achieved like this:

Step one, sets up the frequency spectrum perception system model of energy acquisition green cognitive radio；

Step 2, initializes population；

Step 3, is evaluated the fitness that all quantum in all populations are individual；

Step 4, for each population, the quantum individuality to its inside carries out mixing quantum differential evolution respectively；

Globally optimal solution between step 5, relatively each population, if globally optimal solution is the most identical, in population Body carries out extinction process；

Step 6, not terminating if evolved, returning step 4, otherwise performing step 7；

Step 7, terminates iteration, exports the quantum state that global optimum's quantum of any population is individual, will according to mapping ruler It is mapped as feasible solution, as the scheme of cognitive radio frequency spectrum perception.

The present invention can also include:

1, step one specifically includes: use energy acquisition-frequency spectrum perception-data transmission i.e. SST (saving-sensing- Transmitting) structure of time slot, a time slot is divided into three time slo segments, is respectively used to energy by described structure of time slot Gather, frequency spectrum perception and data are transmitted, and the total time of each time slot is T, and the energy acquisition factor is ρ, for energy acquisition time Between fragment length be ρ T, if channel perception number is q, the time cost of one channel of perception is T_s, for frequency spectrum perception time Between a length of qT_s, remaining time slo segments transmits for data；

After structure of time slot based on SST is introduced energy acquisition technology, if each time slot time user needs the system obtained Handling capacity is R, its energy acquisition rate X (ρ, q) be:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{M(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Wherein E_sThe energy spent by one channel of detection, M is number of available channels；

Channel status meets Bernoulli that parameter is p distribution, and p is the probability of channel idle, thus M is parameter is (q, P) binomial distribution stochastic variable, its expected value is:

E [M]=qp

Energy acquisition rate minima optimization problem equation is as follows:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{q(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Constraints is: ρ-qE_s/ TX (ρ, q) >=0,1-ρ-qT_s/ T >=0,0≤ρ≤1

Wherein q ∈ 0,1,2 ..., and N}, N represent can the maximum number of channel perception, ρ-qE_s/ TX (ρ, q) >=0 and 1- ρ-qT_s/ T >=0 is constraints, in order to guarantee that frequency spectrum perception process both will not run out of all of energy and also will not run out of institute Some remaining times；

It is defined as follows penalty:

WhereinWithIt is penalty factor, and [x]⁺=max{x, 0}.

2, step 2 specifically includes: have I population in Symbiotic evolution on multiple populations, and in each population, H quantum is individual, t It is expressed as the h quantum individuality in i-th populationWhereinRepresent that t is for i-th kind The quantum state of the h quantum individuality ρ of group,Represent the t quantum state for the h quantum individuality q of i-th population, its InFirst it is in each population Portion evolves, by individual for the h quantum in i-th population'sComponent is mapped as integer solution, and Component keeps constant, order Mapping ruler is as follows: orderIts In, l is the lower bound of channel perception number, and u is the upper bound of channel perception number, and mapping ruler is It is right to representDownward bracket function,Result after mapping is

3, the fitness that all quantum in all populations are individual is evaluated in step, the h quantum in population i IndividualFitness is calculated by following formula:

Energy acquisition rate required for the least representative of fitness value is the lowest, and fitness is the best, selects each population i endoadaptation Spend best global optimum's quantum that quantum individuality is this population individual

4, step 4 specifically includes: the evolutionary process of population i is as follows:

(1) mutation process: individual to the h quantum in i-th populationCarry out mutation operation, its quantum rotation The renewal equation of angle and quantum bit is as follows:

$\begin{array}{c}{\mathrm{\θ}}_{hn}^{t+1}\left(i\right)=\frac{1}{2}\·{\mathrm{\ξ}}_1.\left(g_n^t\right(i)-x_{hn}^t(i\left)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_2\·sign\left(f\right({\stackrel{\‾}{\stackrel{\‾}{x}}}_a^t\left(i\right))-f({\stackrel{\‾}{\stackrel{\‾}{x}}}_h^t\left(i\right)\left)\right)\·\\ \left(x_{an}^t\right(i)-x_{hn}^t(i\left)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_3.\left(g_n^t\right(k)-x_{hn}^t(i\left)\right)\end{array}$

$s_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{c}abs\left(x_{hn}^t\right(i)\·{\mathrm{cos\μ}}_{hn}^{t+1}(i)+\sqrt{1-{\left(x_{hn}^t\right(i\left)\right)}^2}\·{\mathrm{sin\μ}}_{hn}^{t+1}(i\left)\right),{\mathrm{if\ϵ}}_{hn}^{t+1}\left(i\right)\≤0.01)\\ abs\left(x_{hn}^t\right(i)\·{\mathrm{cos\θ}}_{hn}^{t+1}(i)+\sqrt{1-{\left(x_{hn}^t\right(i\left)\right)}^2}\·{\mathrm{sin\θ}}_{hn}^{t+1}\left(i\right)),otherwise\end{array}\right.$

Wherein, ξ₁、ξ₂、ξ₃WithBeing the uniform random number between [0,1], sign (.) represents sign function, Be average be 0 variance be the Gauss number of 1, a ∈ 1,2 ..., H} is random integers, represents the quantum chosen at random The label of body,The global optimum's quantum being population k (k ≠ i) is individual, n=1, and 2；

(2) crossover process: renewal equation is as follows:

$v_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{cc}{x}_{hn}^t\left(i\right)& {\mathrm{if\ξ}}_4>CR\\ s_{hn}^{t+1}\left(i\right),& else\end{array}\right.$

Wherein ξ₄Being the uniform random number between [0,1], CR=0.01+ (0.4t)/K, K is maximum iteration time；

(3) selection course: by quantum position'sComponent is mapped as integer solution, andComponent is protected Hold constant, form new mapping solutionCalculateWithFitness, afterwards to the amount within each population Son is individual and global optimum's quantum individuality is updated, ifRatioFitness good, OtherwiseOrderB is the quantum individuality label that wherein fitness is best, IfFitness be better than Otherwise g^t+1(i)=g^t(i)。

The concrete grammar that 5, individuality in population carries out extinction process is every K_aAfter secondary iteration, relatively each population it Between globally optimal solution, if globally optimal solution is the most identical, then choose random integers w (w ∈ 1,2 ..., I}), population w Interior half quantum individuality re-starts initialization and generates.

The present invention proposes the frequency spectrum sensing method of a kind of energy acquisition green cognitive radio, at system required throughput Under the conditions of Yi Zhi, seek the least energy acquisition rate of system, realize cognitive radio system by wireless energy transfer and collection The self energizing of system, and without extra energy supply device.

The thoughts such as energy acquisition and " green communications " are applied to cognitive radio frequency spectrum perception problems, for solving by the present invention Minimum energy acquisition rate, the present invention devises quantum on multiple populations mixing difference Symbiotic evolution evolving mechanism, compared to existing Frequency spectrum sensing method, the invention have the advantages that

(1) present invention is under the conditions of known to the required throughput of secondary family, devises quantum on multiple populations mixing difference symbiosis and enters Change evolving mechanism as the method solving least energy collecting efficiency, designed method stable performance, can be at short notice Obtain optimum spectrum sensing scheme.

(2) present invention response " green communications " and " low-carbon (LC) communicates " etc. theory, can obtain the optimal energy collection factor and sense Know channel number, it is thus achieved that least energy acquisition rate, it is possible to achieve energy requirement is minimum, it is to avoid energy redundancy and energy dissipation, The hardware requirement of energy acquisition can be reached minimum, save hardware resource, it is to avoid cause the wasting of resources.

(3) quantum, the mixing thought such as difference algorithm and Symbiotic evolution on multiple populations are combined by the present invention, devise and solve The quantum on multiple populations mixing difference Symbiotic evolution method of MIXED INTEGER and Continuous Variable Problems, can be to solve Other Engineering problem Provide new thinking.

Accompanying drawing explanation

The frequency spectrum sensing method schematic diagram of Fig. 1 energy acquisition green cognitive radio.

Relation between Fig. 2 average least energy acquisition rate and handling capacity.

Fig. 3 optimum capacity gathers the relation between the factor and handling capacity.

Relation between Fig. 4 optimum channel perception number and handling capacity.

Detailed description of the invention

Illustrate below and the present invention is described in more detail.

In conjunction with Fig. 1, the frequency spectrum sensing method of the energy acquisition green cognitive radio of the present invention mainly comprises the steps:

Step one, sets up the frequency spectrum perception system model of energy acquisition green cognitive radio, and the present invention proposes a kind of energy The structure of time slot of amount collection-frequency spectrum perception-data transmission (saving-sensing-transmitting, SST), this time slot is tied One time slot is divided into three time slo segments by structure, is respectively used to energy acquisition, frequency spectrum perception and data transmission.Each time slot Total time is T, and the energy acquisition factor is ρ (measure energy gathers time slo segments and accounts for the percent of total time), then adopt for energy The time slice a length of ρ T of collection.The length of frequency spectrum perception time slo segments depends on the channel number of perception, it is assumed that channel perception Number is q, and the time cost of one channel of perception is T_s, then the time span for frequency spectrum perception is qT_s.Feeler time remaining Duan Ze transmits for data.

After structure of time slot based on SST is introduced energy acquisition technology, if each time slot time user needs the system obtained Handling capacity is R, its energy acquisition rate X (ρ, q) be:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{M(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Wherein q is channel perception number, E_sThe energy spent by one channel of detection, T is the total time of each time slot, ρ is the energy acquisition factor, T_sFor the time cost of one channel of perception, R is the handling capacity that each time slot time user needs to obtain, M is number of available channels.

Channel status meets Bernoulli that parameter is p (probability of channel idle) distribution, thus M is parameter is (q, p) Binomial distribution stochastic variable, its expected value is:

E [M]=qp

Therefore, the energy acquisition rate needed for secondary user is a stochastic variable.Owing to it is an object of the present invention to minimize time Long-term mean value E [X (ρ, q)] of energy acquisition rate, the therefore energy acquisition rate minima optimization problem side of the present invention needed for user Journey is as follows:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{q(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Constraints is: ρ-qE_s/ TX (ρ, q) >=0,1-ρ-qT_s/ T >=0,0≤ρ≤1

Wherein q ∈ 0,1,2 ..., and N}, N represent can the maximum number of channel perception, ρ-qE_s/ TX (ρ, q) >=0 and 1- ρ-qT_s/ T >=0 is constraints, in order to guarantee that frequency spectrum perception process both will not run out of all of energy and also will not run out of institute Some remaining times.

In order to Constrained Optimization being converted into unconstrained optimization problem, introducing the concept of penalty factor, being defined as follows Penalty:

WhereinWithIt is penalty factor, and [x]⁺=max{x, 0}.

Step 2, initializes population, has I population (for this problem I=2), each population in Symbiotic evolution on multiple populations Middle H quantum is individual, and t is expressed as the h quantum individuality in i-th populationWhereinRepresent the t quantum state for the h quantum individuality ρ of i-th population,Represent that t is for i-th population h The quantum state of quantum individuality q, wherein First it is to evolve to inside each population, by individual for the h quantum in i-th population'sComponent It is mapped as integer solution, andComponent keeps constant, order Mapping ruler is as follows: first makeWherein, l is the lower bound of channel perception number, and u is the upper bound of channel perception number.Cause Being an integer optimization problem for channel perception number, real solution will be mapped as integer solution, mapping ruler is It is right to representDownward bracket function,Result after mapping is

Being evaluated the fitness that all quantum in all populations are individual, the h quantum in population i is individualFitness is calculated by following formula:

Energy acquisition rate required for the least representative of fitness value is the lowest, and fitness is the best.Select each population i endoadaptation Spend best global optimum's quantum that quantum individuality is this population individual

Step 3,

For each population, the quantum individuality to its inside carries out mixing quantum differential evolution, the evolution of population i respectively Process is as follows:

1. mutation process: individual to the h quantum in i-th populationCarry out mutation operation, its quantum rotation angle As follows with the renewal equation of quantum bit:

$\begin{array}{c}{\mathrm{\θ}}_{hn}^{t+1}\left(i\right)=\frac{1}{2}\·{\mathrm{\ξ}}_1.\left(g_n^t\right(i)-x_{hn}^t(i\left)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_2\·sign\left(f\right({\stackrel{\‾}{\stackrel{\‾}{x}}}_a^t\left(i\right))-f({\stackrel{\‾}{\stackrel{\‾}{x}}}_h^t\left(i\right)\left)\right)\·\\ \left(x_{an}^t\right(i)-x_{hn}^t(i\left)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_3.\left(g_n^t\right(k)-x_{hn}^t(i\left)\right)\end{array}$

$s_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{c}abs\left(x_{hn}^t\right(i)\·{\mathrm{cos\μ}}_{hn}^{t+1}(i)+\sqrt{1-{\left(x_{hn}^t\right(i\left)\right)}^2}\·{\mathrm{sin\μ}}_{hn}^{t+1}(i\left)\right),{\mathrm{if\ϵ}}_{hn}^{t+1}\left(i\right)\≤0.01)\\ abs\left(x_{hn}^t\right(i)\·{\mathrm{cos\θ}}_{hn}^{t+1}(i)+\sqrt{1-{\left(x_{hn}^t\right(i\left)\right)}^2}\·{\mathrm{sin\θ}}_{hn}^{t+1}\left(i\right)),otherwise\end{array}\right.$

Wherein, ξ₁、ξ₂、ξ₃WithBeing the uniform random number between [0,1], sign (.) represents sign function, Be average be 0 variance be the Gauss number of 1, a ∈ 1,2 ..., H} is random integers, represents the quantum chosen at random The label of body,The global optimum's quantum being population k (k ≠ i) is individual, n=1, and 2.

2. crossover process: in order to increase population diversity, carries out crossover process, and renewal equation is as follows:

$v_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{cc}{x}_{hn}^t\left(i\right)& {\mathrm{if\ξ}}_4>CR\\ s_{hn}^{t+1}\left(i\right),& else\end{array}\right.$

Wherein ξ₄Being the uniform random number between [0,1], CR=0.01+ (0.4t)/K, K is maximum iteration time.

3. selection course: by quantum position'sComponent is mapped as integer solution, andComponent keeps not Become, form new mapping solutionCalculateWithFitness.Afterwards to the quantum within each population Body and global optimum's quantum individuality are updated.IfRatioFitness good,OtherwiseOrderB is the quantum individuality label that wherein fitness is best, ifFitness be better than Otherwise g^t+1(i)=g^t(i)。

Step 4, every K_aAfter secondary iteration, the relatively globally optimal solution between each population, if globally optimal solution is homogeneous With, some individuality in some population to be carried out extinction process, concrete grammar be choose random integers w (w ∈ 1, 2 ..., I}), the half quantum individuality in population w re-starts initialization and generates.

Step 5, not terminating (generally being determined by maximum iteration time K set in advance) if evolved, returning step Three, otherwise, terminate iteration, export the quantum state that global optimum's quantum of any population is individual, mapped according to mapping ruler For feasible solution, as the scheme of cognitive radio frequency spectrum perception.

Emulation is assumed in the frequency spectrum perception model of cognitive radio, N=10, T=1, T_s=0.03, population number I=2, Each population scale and termination iterations are both configured to identical, and population size is H=50, K_a=K/5, maximum iteration time K =1000, E_s=0.6, penalty factorThe desired handling capacity of secondary user changes to 13 from 5.

Fig. 2 depicts needed for secondary user in the case of different handling capacities, green cognitive radio based on energy acquisition The least energy acquisition rate of spectrum allocation system, it can be seen that be a kind of approximately linear between least energy acquisition rate and handling capacity Relation, shows that the energy gathered is fully utilized by the distribution mechanism proposed.

Fig. 3 and Fig. 4 is that needed for time user in the case of different handling capacities, optimum capacity gathers the factor and optimal spectrum perception The number of channel, it can be seen that along with the increase of throughput demand, frequency spectrum perception system be more likely to the higher energy acquisition factor and More frequency spectrum perception channel number.

Above content is to combine specific embodiment further description made for the present invention, it is impossible to assert this Bright being embodied as is confined to these explanations.For general technical staff of the technical field of the invention, do not taking off On the premise of present inventive concept, it is also possible to make some simple deduction or replace, all should be considered as belonging to the protection of the present invention Scope.

Claims (6)

1. a frequency spectrum sensing method for energy acquisition green cognitive radio, is characterized in that:

Step one, sets up the frequency spectrum perception system model of energy acquisition green cognitive radio；

Step 2, initializes population；

Step 3, is evaluated the fitness that all quantum in all populations are individual；

Step 4, for each population, the quantum individuality to its inside carries out mixing quantum differential evolution respectively；

Globally optimal solution between step 5, relatively each population, if globally optimal solution is the most identical, enters the individuality in population Row extinction processes；

Step 6, not terminating if evolved, returning step 4, otherwise performing step 7；

Step 7, terminates iteration, exports the quantum state that global optimum's quantum of any population is individual, is reflected according to mapping ruler Penetrate as feasible solution, as the scheme of cognitive radio frequency spectrum perception.

The frequency spectrum sensing method of energy acquisition green cognitive radio the most according to claim 1, is characterized in that step one Specifically include: using energy acquisition-frequency spectrum perception-data transmission i.e. structure of time slot of SST, described structure of time slot is by a time slot Being divided into three time slo segments, be respectively used to energy acquisition, frequency spectrum perception and data transmission, the total time of each time slot is T, energy It is ρ that amount gathers the factor, the time slice a length of ρ T for energy acquisition, if channel perception number is q, one channel of perception Time cost is T_s, the time span for frequency spectrum perception is qT_s, remaining time slo segments transmits for data；

After structure of time slot based on SST is introduced energy acquisition technology, if each time slot time user needs the system throughput obtained Amount is R, its energy acquisition rate X (ρ, q) be:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{M(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Wherein E_sThe energy spent by one channel of detection, M is number of available channels；

Channel status meets Bernoulli that parameter is p distribution, and p is the probability of channel idle, thus M is parameter is (q, p) Binomial distribution stochastic variable, its expected value is:

E [M]=qp

Energy acquisition rate minima optimization problem equation is as follows:

$X(\mathrm{\ρ},q)=({\mathrm{qE}}_s+(T-\mathrm{\ρ}T-{\mathrm{qT}}_s\left)\right(2^{\frac{RT}{q(T-\mathrm{\ρ}T-{\mathrm{qT}}_s)}}-1\left)\right)/\mathrm{\ρ}T$

Constraints is: ρ-qE_s/ TX (ρ, q) >=0,1-ρ-qT_s/ T >=0,0≤ρ≤1

Wherein q ∈ 0,1,2 ..., and N}, N represent can the maximum number of channel perception, ρ-qE_s/ TX (ρ, q) >=0 and 1-ρ-qT_s/ T >=0 is constraints, in order to guarantee that frequency spectrum perception process both will not run out of all of energy and also will not run out of all of surplus The remaining time；

It is defined as follows penalty:

WhereinWithIt is penalty factor, and [x]⁺=max{x, 0}.

The frequency spectrum sensing method of energy acquisition green cognitive radio the most according to claim 1, is characterized in that step 2 Specifically including: have I population in Symbiotic evolution on multiple populations, in each population, H quantum is individual, and t is for h in i-th population Individual quantum individuality is expressed asWhereinRepresent that t is for the h quantum individuality ρ of i-th population Quantum state,Represent the t quantum state for the h quantum individuality q of i-th population, whereinH=1,2 ..., H, i=1,2 ..., I, is first to carry out inside each population Evolve, by individual for the h quantum in i-th population'sComponent is mapped as integer solution, andComponent keeps Constant, order Mapping ruler is as follows: orderWherein, l is perception The lower bound of channel number, u is the upper bound of channel perception number, and mapping ruler is It is right to representDownward bracket function,Result after mapping is

The frequency spectrum sensing method of energy acquisition green cognitive radio the most according to claim 1, is characterized in that: to all The fitness of all quantum individuality in population is evaluated in step, and the h quantum in population i is individualFitness Calculated by following formula:

Energy acquisition rate required for the least representative of fitness value is the lowest, and fitness is the best, selects each population i endoadaptation degree Good global optimum's quantum that quantum individuality is this population is individual

The frequency spectrum sensing method of energy acquisition green cognitive radio the most according to claim 1, is characterized in that step 4 Specifically include: the evolutionary process of population i is as follows:

(1) mutation process: individual to the h quantum in i-th populationCarry out mutation operation, its quantum rotation angle and The renewal equation of quantum bit is as follows:

$\begin{array}{c}{\mathrm{\θ}}_{hn}^{t+1}\left(i\right)=\frac{1}{2}\·{\mathrm{\ξ}}_1.\left(g_n^t\left(i\right)-x_{hn}^t\left(i\right)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_2\·sign\left(f\left({\stackrel{\‾}{\stackrel{\‾}{x}}}_a^t\left(i\right)\right)-f\left({\stackrel{\‾}{\stackrel{\‾}{x}}}_h^t\left(i\right)\right)\right)\·\\ \left(x_{an}^t\left(i\right)-x_{hn}^t\left(i\right)\right)+\frac{1}{2}\·{\mathrm{\ξ}}_3.\left(g_n^t\left(k\right)-x_{hn}^t\left(i\right)\right)\end{array}$

$s_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{c}abs\left(x_{hn}^t\left(i\right)\·{\mathrm{cos\μ}}_{hn}^{t+1}\left(i\right)+\sqrt{1-{\left(x_{hn}^t\left(i\right)\right)}^2}\·{\mathrm{sin\μ}}_{hn}^{t+1}\left(i\right)\right),{\mathrm{if\ϵ}}_{hn}^{t+1}\left(i\right)\≤0.01)\\ abs\left(x_{hn}^t\left(i\right)\·{\mathrm{cos\θ}}_{hn}^{t+1}\left(i\right)+\sqrt{1-{\left(x_{hn}^t\left(i\right)\right)}^2}\·{\mathrm{sin\θ}}_{hn}^{t+1}\left(i\right)\right),otherwise\end{array}\right.$

Wherein, ξ₁、ξ₂、ξ₃WithBeing the uniform random number between [0,1], sign (.) represents sign function,It is equal Value be 0 variance be the Gauss number of 1, a ∈ 1,2 ..., H} is random integers, represents that the quantum chosen at random is individual Label,The global optimum's quantum being population k is individual, k ≠ i, n=1, and 2；

(2) crossover process: renewal equation is as follows:

$v_{hn}^{t+1}\left(i\right)=\left\{\begin{array}{cc}{x}_{hn}^t\left(i\right)& {\mathrm{if\ξ}}_4>CR\\ S_{hn}^{t+1}\left(i\right),& else\end{array}\right.$

Wherein ξ₄Being the uniform random number between [0,1], CR=0.01+ (0.4t)/K, K is maximum iteration time；

(3) selection course: by quantum position'sComponent is mapped as integer solution, andComponent keeps not Become, form new mapping solutionCalculateWithFitness, afterwards to the quantum within each population Body and global optimum's quantum individuality are updated, ifRatioFitness good,No ThenOrderB is the quantum individuality label that wherein fitness is best, as ReallyFitness be better than Otherwise g^t+1(i)=g^t(i)。

The frequency spectrum sensing method of energy acquisition green cognitive radio the most according to claim 1, is characterized in that: to population It is every K that interior individuality carries out the concrete grammar of extinction process_aAfter secondary iteration, the relatively globally optimal solution between each population, If globally optimal solution is the most identical, then choose random integers w (w ∈ 1,2 ..., I}), half quantum in population w is individual Re-start initialization to generate.