CN103561457A - Multi-target-network power distribution method in heterogeneous wireless network cooperative communication - Google Patents

Multi-target-network power distribution method in heterogeneous wireless network cooperative communication Download PDF

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CN103561457A
CN103561457A CN201310513423.9A CN201310513423A CN103561457A CN 103561457 A CN103561457 A CN 103561457A CN 201310513423 A CN201310513423 A CN 201310513423A CN 103561457 A CN103561457 A CN 103561457A
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power
gene
population
value
fitness
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CN103561457B (en
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冯义志
田坤
林炳辉
张军
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South China University of Technology SCUT
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Abstract

The invention discloses a multi-target-network power distribution method in heterogeneous wireless network cooperative communication. The multi-target-network power distribution method comprises the following steps that firstly, a mobile intelligent terminable detects wireless networks which are capable of being accessed and provided with vacant service channels, N wireless networks with good channel conditions are selected by the mobile intelligent terminal from the networks which are capable of being accessed, and the mobile intelligent terminal has access to the N wireless networks; secondly, a heredity expression of a power distribution scheme is defined; thirdly, an adaptation function of the power distribution scheme is defined; fourthly, M arrays are generated; fifthly, according to the method that a high-fitness value is preferential, genetic recombination is conducted through m2 genes randomly selected from a population; sixthly, mutation is conducted on m1 genes randomly selected from low-fitness genes of a population generated after genetic recombination according to the probability; seventhly, a new generation of population is selected and generated; eighthly, the fifth step, the sixth step and the seventh step are executed repeatedly, and when increase of the highest-fitness value of the population genes is smaller than a given threshold value successive l times and continuously, the optimal power distribution scheme is obtained. The multi-target-network power distribution method in heterogeneous wireless network cooperative communication has the advantages of being flexible in algorithm.

Description

Multi-target networks power distribution method in a kind of heterogeneous wireless network collaboration communication
Technical field
The present invention relates to a kind of wireless communication technology, particularly the multi-target networks power distribution method in a kind of heterogeneous wireless network collaboration communication.
Background technology
Current various heterogeneous wireless communication networks extensively coexists, and the existing heterogeneous wireless network that is no less than 25 kinds puts it into commercial operation, but each network works alone, and internetwork seamless interconnected and making full use of of Internet resources becomes significant problem.As the scheme addressing this problem, heterogeneous wireless network cooperative communication technology has obtained domestic and international great attention.Heterogeneous wireless network cooperative communication technology can be realized fusion access, the collaborative work and internetwork seamless interconnected between heterogeneous network, make terminal can utilize a plurality of different type networks to carry out transfer of data simultaneously, thereby significantly improve network resource utilization and system communication ability.
In heterogeneous wireless network cooperation communication system, intelligent mobile terminal utilizes a plurality of different type networks to carry out transfer of data simultaneously, when obtaining higher transmission rates, also significantly increased the requirement to power consumption, how making terminal when obtaining high as far as possible transmission rate, consume alap power is a key issue, needs the power of terminal to divide effectively and rationally on each transmission network to be equipped with to reach to optimize the transmission rate of terminal and the object of the performance aspect power consumption two for this reason simultaneously.
In radio communication, there have been at present a large amount of various methods about power division of having researched and proposed, but existing power distribution method mainly for single standard network, single type of business, take single performance index as optimization aim, and calculation of complex, efficiency are lower.For example classical water flood be take maximum channel capacity as optimization aim, but calculation of complex, and can not this index of optimizing power consumption.Publication number is CN102752840A, open day is the patent of invention " a kind of broadcast channel power distribution method " on October 24th, 2012, provide a kind of according to the weights of the gain signal to noise ratio of each channel and each receiving terminal the method for each receiving terminal distribution transmitting power, although because reduced algorithm complex without solving water injection power level and iterative process, but this invention is for single homogeneous network of planting standard, and only take maximum system throughput as optimization aim, there is no to consider the optimization to power consumption performance.Publication number is CN101364823A, open day is the patent of invention " power distribution method based on MCPA thresholding in collaboration communication " on February 11st, 2009, adopted a kind of average channel power decay (MCPA) of usining source node to carry out selecting collaboration node as threshold value and to the scheme of the cooperative node mean allocation power of choosing, but this invention is for single homogeneous network of planting standard, the system break probability performance of only take is optimization aim, and the method for power mean allocation on the cooperative node of choosing makes the utilance of power not high, there is no to consider the optimization to power consumption performance.Publication number is CN101588627A, the thought of the patent of invention " the power optimized combined distributing method of source and via node in collaboration communication " that open day is on November 25th, 2009 based on water-filling algorithm, this invention equally only be take maximum channel capacity as optimization aim, there is no to consider the optimization to power consumption performance.
Owing to relating to the network of multiple types, polytype business and multiple service quality (quality of service, QoS) requirement, the power division of heterogeneous wireless network cooperation communication system requires take a plurality of performance index as optimization aim (and the often conflict mutually of these optimization aim), and the existing power distribution method that is optimization aim mainly for single standard network, single type of business, the single performance index of take is no longer applicable.
Summary of the invention
The shortcoming that the object of the invention is to overcome prior art is with not enough, multi-target networks power distribution method in a kind of heterogeneous wireless network collaboration communication is provided, the object that the method proposes is that the network for collaborative work in heterogeneous wireless network collaboration communication provides simply, efficient multiple target power allocation scheme, using and maximize the channel capacity of intelligent mobile terminal and minimize the power of its required consumption as the optimization aim of power allocation scheme, simultaneously the transmission rate of Intelligent Optimal mobile terminal and the performance of power consumption two aspects.
Object of the present invention is achieved through the following technical solutions: the multi-target networks power distribution method in heterogeneous wireless network collaboration communication, comprises the following steps:
Step 1, mobile intelligent terminal, when communication, detect the accessible wireless network of available free Traffic Channel, and according to channel condition information, from accessible network, select N the good wireless network access of channel condition.
Step 2, the heredity that defines a kind of power allocation scheme represent.The heredity that the one dimension real number array power that in the present invention, definition contains N+1 element is used as power allocation scheme represents, wherein N is the selected network of step 1 (channel) quantity, the value power[n of n element in power] (n=1,2, N) represent that this scheme distributes to the performance number of n network (channel), the value power[N+1 of last element] be used for depositing the fitness value of allocative decision.So, an array has just represented a kind of power allocation scheme, and the fitness that has comprised this power allocation scheme.
Step 3, the fitness function of definition power allocation scheme.Consider the channel capacity summation C of mobile intelligent terminal totaland total power consumption P, using power consumption as punishment, structure shape as
Figure BDA0000402179800000021
fitness function be used for calculating the fitness value of each power allocation scheme.In fitness function, w nthe channel width of network n, P maxthe rated power of intelligent mobile terminal, α >0, β >0, α, the concrete value of β can regulate the specific requirement of channel capacity and power consumption according to intelligent mobile terminal in concrete scene.
Step 4, produces the array described in a M step 2, and each array represents respectively a kind of different power allocation scheme and fitness value thereof; This M array forms the first generation population of power allocation scheme together, and wherein M is called the scale of population, and an array in population is called a gene.
Step 5, the method preferential according to high fitness value, according to probability random m that selects from population described in step 4 1(m 1for even number, 2≤m 1≤ M) bar gene carries out genetic recombination.In genetic recombination process, the gene that is selected participation genetic recombination is not done any change and is retained in population; The legal gene that restructuring generates adds population as new gene, and the illegal gene that restructuring generates directly abandons.
Step 6, keeps the preferential method of low fitness value according to the best, in the gene that in the population from genetic recombination described in step 5, fitness is lower, by probability, selects at random m 2(1≤m 2≤ M2) bar gene suddenlys change, and mutation method is: for the gene power to be suddenlyd change choosing k, in its top n element, random certain several element value of selecting increase or reduce fixing step-length P with adaptive probability Δ, and recalculate power kfitness value be filled into its last bit element; Power after judgement sudden change kwhether legal, if legal, population retains the power after sudden change k, otherwise reject.
Step 7, choose and produce population of new generation, here define a kind of optimum method of choosing population of new generation keeping, in scale, keep new gene population consistent with original gene population (gene scale remains M), when choosing the gene of structure new population, fitness value in the population after gene mutation described in step 6 is the highest before
Figure BDA0000402179800000031
individual gene is directly chosen in new population, in remaining gene, with roulette method, chooses
Figure BDA0000402179800000032
individual gene is in new population.
Step 8, repeating step 5～7.When the growth of the highest fitness value of population gene is continuous, is less than given threshold value for l time and thinks that optimal power allocation scheme has occurred, choose gene that fitness is the highest as power allocation scheme from the population obtaining, power distribution algorithm finishes.
In step 1, the present invention considers that N the network that intelligent mobile terminal accesses all only provides a pair of Traffic Channel (forward traffic channel and reverse traffic channel) for intelligent mobile terminal transmission data, so the channel n described in the present invention is also representing network n.
In step 1, described channel condition information represents with the noise statistics of channel, intelligent mobile terminal selection n channel as channel to be used, by these channels and map network, connect, wherein
Figure BDA0000402179800000042
the noise variance of the Traffic Channel that provides of network n, it is the desired interchannel noise threshold value of network n proper communication.
In step 2, described fitness value is the value of the F in step 3, and it is the performance judgment criteria of the power allocation scheme of definition in invention, the score of certain concrete power allocation scheme, and the higher scheme of score is more excellent.
In step 3, C totalrefer to the obtainable channel capacity summation of intelligent mobile terminal, by C total = Σ n = 1 N 1 2 w n log ( 1 + power [ n ] w n σ n 2 ) Determine.P refers to the total power consumption of intelligent mobile terminal, by P = Σ n = 1 N power [ n ] Determine.
In step 3, described α, β value choose the result that directly has influence on final power allocation scheme.When using the method to carry out power division, can be by intelligent mobile terminal user according to own residing specific situation, the specific requirement of message transmission rate and power consumption is set to α, the occurrence of β, as being more partial to fast transmission rate when energy is sufficient, can increase the ratio of α and β; When business is lower to transfer of data rate requirement, can reduce the ratio of α and β.
In step 4, the generation of described array mainly contains following steps:
Step 4.1, the top n of array 0～P for element maxrandom number in scope is filled; Once the top n element of array meets
Figure BDA0000402179800000046
or
Figure BDA0000402179800000047
cast out this array, regenerate new array.
Step 4.2, N+1 element of array, last element of array is filled with the fitness value of the power allocation scheme of array top n element representative; Fitness value utilizes the fitness function of definition in step 3 to calculate;
In step 4, described population scale size, the value of M is determined by complexity and the performance synthesis measurement of algorithm, and M is larger, and the precision of algorithm is higher, but complexity is also higher; M is less, and the precision of algorithm is lower, but complexity is also lower.
In step 5, described high fitness value preferentially refers to that fitness is higher, and the probability of the selected participation restructuring of gene is larger, and the selected probability that participates in restructuring of gene that fitness value is F is
Figure BDA0000402179800000051
f wherein maxmaximum for the fitness value of all genes in population; Participate in the gene dosage m of restructuring 1for random number, depend on probability f 1.
In step 5, described genetic recombination mainly contains following steps:
Step 5.1, for two gene power that participate in restructuring i, power j(1≤i, j≤M), defines the new array described in a step 2, is denoted as power ij;
Step 5.2, from power i, power jin random select a gene, and from the top n element of this gene random selected part element, its value is filled to power ijthe element of middle correspondence position, power ijin except N+1 element all the other unfilled elements by power i, power jin the unit of another gene correspondence position usually fill;
Step 5.3, calculates power ijthe fitness of the power allocation scheme of top n element representative, and fitness value is filled to power ijn+1 element;
Step 5.4, judgement power ijwhether legal, if legal, power ijas new gene, add population; If not method, directly abandons;
In step 5, described illegal gene refers to the gene with following arbitrary feature: (1), the power power[n to n network allocation] threshold value of the value that makes signal to noise ratio desired signal to noise ratio during lower than such network proper communication, (2), Σ n = 1 N power [ n ] > P max Or Σ n = 1 N power [ n ] = 0 ;
In step 6, described the best keeps the low adaptive value mode of priority, be specially for fitness value in population the highest before
Figure BDA0000402179800000054
individual gene remains unchanged, for remaining gene with probability f 2participate in gene mutation, f 2be defined as
Figure BDA0000402179800000061
f wherein minminimum value for the fitness value of all genes in population.
In step 6, in described gene, element value increases with adaptive probability or the method that reduces is specially, for choosing element value to be suddenlyd change according to probability f 3increase P Δ, with probability 1-f 3reduce P Δ.Wherein, for selected sudden change element power[n], define it
Figure BDA0000402179800000062
p Δvalue by the complexity of algorithm and performance synthesis, weigh and determine, P Δthe precision of less algorithm is higher, but convergence of algorithm speed is also slower; P Δlarger arithmetic accuracy is lower, but convergence rate is faster.
In step 8, described threshold value and the value of l are by default, and threshold value is less, l value is larger, and the precision property of power distribution algorithm is better, but the complexity of algorithm is also higher.
The present invention has following advantage and effect with respect to prior art:
1, the present invention is directed to intelligent mobile terminal in heterogeneous wireless network cooperation communication system and pass through the scene of different type network transceiving data simultaneously, the power distribution method of use based on genetic algorithm distributes power to different access networks, can make intelligent mobile terminal when obtaining higher transmission rates, consume lower power, thereby effectively put forward high-power utilization ratio;
2, the method that the present invention proposes is based on genetic algorithm, and process is simple, there is no complicated mathematical analysis process, is easy to practical operation and channel capacity and two important indicators of power consumption of Intelligent Optimal mobile terminal simultaneously.
The fitness function form of 3, constructing in the present invention is simple, and partial parameters can be adjusted according to the different demands in different scenes by user, has improved the flexibility of algorithm;
The power division heredity of 4, constructing in the present invention represents the part that fitness value is represented as heredity, is conducive in each step of genetic algorithm the adaptability with reference to gene easily the behavior of each step is made to improvement;
5, the high-adaptability mode of priority that the present invention adopts in genetic recombination process, the optimum adopting in gene mutation process keep low adaptive value method preferential and that determine prominent nyctitropic method and choosing the optimum maintenance adopting in population of new generation with adaptive probability, take the ergodic convergence rate that simultaneously improves genetic algorithm of genetic algorithm into account.
Accompanying drawing explanation
Fig. 1 multi-target networks power distribution method flow chart.
Fig. 2 heterogeneous wireless network cooperative communication network is selected access schematic diagram.
Fig. 3 heterogeneous wireless network collaboration communication power division and operation principle schematic diagram.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
Implementation process of the present invention mainly comprises two large parts, the network that selection will access (being Network access control) and these networks are carried out to power division.The core process of whole power division process as shown in Figure 1.
In this embodiment, the Network access control mode of our definition heterogeneous wireless network collaboration communication as shown in Figure 2, and power division as shown in Figure 3 and data mode.
In the present embodiment, the performing step of access control is as follows:
Step 1, heterogeneous wireless network as shown in Figure 2, intelligent radio access point (AP) carries out Real-Time Monitoring to the channel statistic of each network.
Step 2, transmitting terminal shown in Fig. 2 (intelligent mobile terminal) is when needs send information by network, first to the statistical property of intelligent each network channel of AP acquisition request, intelligent AP sends the statistical property of each network channel to intelligent mobile terminal by Zigbee protocol.
Step 3, transmitting terminal receives after the channel statistical information of each network that intelligent AP sends, and determines that choosing which network carries out data transmission.In this embodiment, suppose that the information that transmitting terminal sends by intelligent AP learnt K the available free channel of network, its noise variance is respectively the desired noise gate of each network proper communication is respectively
Figure BDA0000402179800000072
and supposition wherein meets
Figure BDA0000402179800000073
network have 4, transmitting terminal is selected this 4 network insertions, the noise variance of 4 channels that connect is respectively
Figure BDA0000402179800000074
The process that 4 selected networks are carried out to power division is as follows:
Step 1, the heredity that the one dimension real number array power that definition contains 5 elements is used as each network (channel) to carry out power division represents, the value power[n of n element in power] (n=1,2,3,4) represent to distribute in this scheme the performance number of network (channel) n, the value power[5 of last element] be used for depositing the fitness value of this power allocation scheme.
Step 2, the fitness function of definition power allocation scheme
Figure BDA0000402179800000081
wherein, w nthe channel width of network n, P maxthe rated power of intelligent mobile terminal,
Figure BDA0000402179800000082
the obtainable channel capacity summation of intelligent mobile terminal,
Figure BDA0000402179800000083
it is the total power consumption of intelligent mobile terminal.In this embodiment, for total channel capacity and power consumption, give and equal attention, so α, the value of β equates, makes α=1, β=1.
Step 3, produces the array of the expression power allocation scheme described in step 1, is mainly divided into following steps:
Step 3.1, in this embodiment, uses front four element power[1 of array described in the random number filling step 1 of scope], power[2], power[3] and, power[4], check
Figure BDA0000402179800000085
whether be less than P maxif, do not meet this condition, abandon this array, and again by random number, fill front four elements in array, until meet &Sigma; n = 1 4 power [ n ] < P max ;
Step 3.2, calculates fitness value and is inserted the 5th element power[5 of array with fitness function described in step 2].
The heredity that the array power that step 3 produces is a kind of power allocation scheme represents, this array is called gene, wherein power[1], power[2], power[3], power[4] to correspond respectively to be the power that four access networks distribute, power[5] be the fitness value of this gene.
Step 4, the population of generation power allocation scheme.Utilize the method described in step 3, produce M gene power that represents power allocation scheme and fitness value thereof 1, power 2..., power m, these genes form the population that represents power allocation scheme together, and in population, the number M of gene is called population scale, and in the present embodiment, setting population scale is M=100.
Step 5, to population described in step 4, the method preferential according to high fitness, by probability therefrom random Select gene recombinate; In regrouping process, the gene that participates in restructuring remains unchanged and is retained in population; The new legal gene that restructuring generates adds population, and illegal gene abandons.The concrete grammar of genetic recombination is mainly divided into following steps:
Step 5.1, to i gene power in population described in step 4 i, with
Figure BDA0000402179800000091
probability by power ielect recombination to be participated in as, wherein F max=max (power 1[5], power 2[5] ..., power 100[5]);
Step 5.2, for being chosen as two gene poweri, power that participate in restructuring j(1≤i, j≤100), define the new array described in a step 1, are denoted as power ij;
Step 5.3, from power i, power jin random select a gene, and from this gene, in 4 elements, choose at random L element (choosing the element of half in the present embodiment, i.e. L=2), its value is filled to power ijthe element of middle correspondence position, power ijin all the other unfilled elements except the 5th element by power i, power jin the unit of another gene correspondence position usually fill;
Step 5.4, calculates power ijthe fitness of the power allocation scheme of front 4 element representatives, and fitness value is filled to power ijthe 5th element;
Step 5.5, judgement power ijwhether legal, if legal, power ijas new gene, add population; If not method, directly abandons;
In step 5, described illegal gene refers to the gene with following arbitrary feature: (1) power power[n to n network allocation] threshold value of the value that makes signal to noise ratio desired signal to noise ratio during lower than network n proper communication, ( 2 ) &Sigma; n = 1 4 power [ n ] > P max ;
Step 6, to the population after genetic recombination described in step 5, keeps the low fitness value mode of priority according to the best, by probability therefrom random Select gene suddenly change, if the illegal gene described in the gene step 5 after sudden change abandons.The concrete grammar of gene mutation mainly contains following steps:
Step 6.1, sorts by fitness value from high to low to all genes in population, keeps front 50 genes constant; For remaining gene, gene power wherein iwith
Figure BDA0000402179800000102
probability elect as and treat mutator, F wherein min=min (power 1[5], power 2[5] ..., power m1[5]), M1 is the scale of the population after genetic recombination described in step 5.
Step 6.2, for the selected mutator power that treats in step 6.1 ithe n(1≤n≤4) individual element, with probability
Figure BDA0000402179800000103
by power i[n] is updated to
Figure BDA0000402179800000104
with probability 1 - ( P max - powe r i [ n ] ) P max By power i[n] is updated to power i [ n ] - P max 20 .
Step 7, chooses in the population from gene mutation described in step 6 and produces population of new generation, mainly contains following steps:
Step 7.1, to the population after gene mutation described in step 6, sorts gene by fitness value from high to low, presses power i[5] value of (1≤i≤M1) sorts from high to low;
Step 7.2, to the gene population after sequence described in step 7.1, choose front 50 genes as being half gene of population of new generation, and from a remaining M1-50 gene, choose 50 genes as second half gene of population of new generation with the system of selection of roulette, abandon the gene that all the other are not selected into population of new generation.The scale of population of new generation like this is still 100, and in population of new generation, the maximum of the fitness value of all genes is designated as power [ 5 ] max step _ 7 .
In step 7.2, the system of selection of roulette is specially: for a remaining M1-50 gene, wherein gene power jthe probability of selected conduct population gene of new generation is
Figure BDA0000402179800000111
power wherein total_rest[5] be the fitness value summation of this M1-50 gene.
Step 8, repeating step 5,6,7, when continuous ten generation population
Figure BDA0000402179800000112
growth while being less than 5%, power distribution algorithm finishes.Now
Figure BDA0000402179800000113
the gene at place (is labeled as power *) representing final power allocation scheme, the power that four networks (channel) of choosing in access control procedure are distributed is respectively power *[1], power *[2], power *[3], power *[4].
Above-described embodiment is preferably execution mode of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other any do not deviate from change, the modification done under Spirit Essence of the present invention and principle, substitutes, combination, simplify; all should be equivalent substitute mode, within being included in protection scope of the present invention.

Claims (10)

1. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication, is characterized in that, comprises the following steps:
Step 1, mobile intelligent terminal, when communication, detect the accessible wireless network of available free Traffic Channel, and from accessible network, select N wireless network access according to channel condition information;
Step 2, the heredity that defines a kind of power allocation scheme represent;
The fitness function of step 3, definition power allocation scheme;
Array described in step 4, a generation M step 2, each array represents respectively a kind of different power allocation scheme and fitness value thereof; M array forms the first generation population of power allocation scheme together, and wherein M is called the scale of population, and an array in population is called a gene;
Step 5, the method preferential according to high fitness value, according to probability random m that selects from population described in step 4 1bar gene carries out genetic recombination; In genetic recombination process, the gene that is selected participation genetic recombination is not done any change and is retained in population; The legal gene that restructuring generates adds population as new gene, and the illegal gene that restructuring generates directly abandons; Described m 1for even number, described m 1span be 2≤m 1≤ M;
Step 6, according to the best, keep the preferential method of low fitness value, in the gene that in the population from genetic recombination described in step 5, fitness is lower, by probability, select at random m 2bar gene suddenlys change;
Step 7, choose and produce population of new generation, here define a kind of optimum method of choosing population of new generation keeping, the gene population that keeps new in scale is consistent with original gene population, gene scale remains M, when choosing the gene of structure new population, fitness value in the population after gene mutation described in step 6 is the highest before
Figure FDA0000402179790000011
individual gene is directly chosen in new population, in remaining gene, with roulette method, chooses
Figure FDA0000402179790000012
individual gene is in new population;
Step 8, repeating step 5～7, when the growth of the highest fitness value of population gene is continuous, be less than given threshold value for l time as optimal power allocation scheme, from the population obtaining, choose gene that fitness is the highest as power allocation scheme, power distribution algorithm finishes.
2. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, it is characterized in that, in described step 1, the N that described intelligent mobile terminal an accesses network all only provides a pair of Traffic Channel for intelligent mobile terminal transmission data, described channel n is also representing network n, and described a pair of Traffic Channel comprises forward traffic channel and reverse traffic channel;
Described channel condition information represents with the noise statistics of channel, intelligent mobile terminal selection
Figure FDA0000402179790000021
n channel as channel to be used, by these channels and map network, connect, wherein, the noise variance of the Traffic Channel that provides of network n,
Figure FDA0000402179790000023
it is the desired interchannel noise threshold value of network n proper communication.
3. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, is characterized in that, in described step 2, described fitness value is the performance judgment criteria of power allocation scheme, that is: the score of power allocation scheme.
4. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, is characterized in that, in described step 3, and C totalrefer to the obtainable channel capacity summation of intelligent mobile terminal, by
Figure FDA0000402179790000024
determine, P refers to the total power consumption of intelligent mobile terminal, by P = &Sigma; n = 1 N power [ n ] Determine;
Described α, β value choose the result that directly has influence on final power allocation scheme, when using the method to carry out power division, by intelligent mobile terminal user according to own residing specific situation, the specific requirement of message transmission rate and power consumption is set to α, the occurrence of β, when energy abundance is partial to fast transmission rate, increase the ratio of α and β; When business is low to transfer of data rate requirement, reduce the ratio of α and β.
5. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, is characterized in that, in described step 4, the generation of described array comprises the following steps:
The top n of step 4.1, array 0～P for element maxrandom number in scope is filled; Once the top n element of array meets
Figure FDA0000402179790000026
or
Figure FDA0000402179790000027
cast out this array, regenerate new array;
N+1 element of step 4.2, array, last element of array is filled with the fitness value of the power allocation scheme of array top n element representative, and fitness value utilizes the fitness function of definition in step 3 to calculate.
6. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, it is characterized in that, in described step 4, described population scale size, the value that is M is weighed definite by complexity and the performance synthesis of algorithm, M is larger, represents that precision and the complexity of algorithm is higher; M is less, represents that precision and the complexity of algorithm is lower.
7. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, it is characterized in that, in described step 5, described high fitness value preferentially refers to that fitness is higher, the probability of the selected participation restructuring of gene is larger, and the selected probability that participates in restructuring of gene that fitness value is F is
Figure FDA0000402179790000031
wherein, F maxmaximum for the fitness value of all genes in population; Participate in the gene dosage m of restructuring 1for random number, depend on probability f 1;
Described genetic recombination comprises the steps:
Step 5.1, the gene power that recombinate for two participations i, power j, wherein, the span of i is: 1≤i≤M, and the span of j is: 1≤j≤M, define the new array described in a step 2, be denoted as power ij;
Step 5.2, from power i, power jin random select a gene, and from the top n element of this gene random selected part element, its value is filled to power ijthe element of middle correspondence position, power ijin except N+1 element, all the other unfilled elements are by power i, power jin the unit of another gene correspondence position usually fill;
Step 5.3, calculating power ijthe fitness of the power allocation scheme of top n element representative, and fitness value is filled to power ijn+1 element;
Step 5.4, judgement power ijwhether legal, if legal, power ijas new gene, add population; Otherwise directly abandon.
8. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, it is characterized in that, in described step 5, described illegal gene refers to the gene with the feature in following (1) or in (2): (1) power power[n to n network allocation] threshold value of the value that makes signal to noise ratio desired signal to noise ratio during lower than such network proper communication
Figure FDA0000402179790000041
or &Sigma; n = 1 N power [ n ] = 0 .
9. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, is characterized in that, in described step 6, described the best keeps the low adaptive value mode of priority, be specially for fitness value in population the highest before
Figure FDA0000402179790000043
individual gene remains unchanged, for remaining gene with probability f 2participate in gene mutation, f 2be defined as
Figure FDA0000402179790000044
wherein, F minminimum value for the fitness value of all genes in population;
In described gene, element value increases with adaptive probability or the method that reduces is specially, for choosing element value to be suddenlyd change according to probability f 3increase P Δ, with probability 1-f 3reduce P Δ; Wherein, for selected sudden change element power[n], define it p Δvalue by the complexity of algorithm and performance synthesis, weigh and determine, P Δthe precision of less algorithm is higher, but convergence of algorithm speed is also slower; P Δlarger arithmetic accuracy is lower, but convergence rate is faster;
Described mutation method is: for the gene power to be suddenlyd change choosing k, in its top n element, random certain several element value of selecting increase or reduce fixing step-length P with adaptive probability Δ, and recalculate power kfitness value be filled into its last bit element; Power after judgement sudden change kwhether legal, if legal, population retains the power after sudden change k, otherwise reject; Described m 2span be 1≤m 2≤ M2.
10. the multi-target networks power distribution method in heterogeneous wireless network collaboration communication according to claim 1, it is characterized in that, in described step 8, described threshold value and the value of l are by default, threshold value is less, l value is larger, represents that the precision property complexity better, algorithm of power distribution algorithm is higher.
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