CN103857045B - Resource distribution method of cognition OFDM network based on spectrum lining and filling - Google Patents

Abstract

The invention discloses a resource distribution method of a cognition OFDM network based on spectrum lining and filling. The resource distribution method of the cognition OFDM network based on spectrum lining and filling comprises the steps that a cognition base station obtains channel state information needed by resource distribution, a cognition user estimates channel state information of a downlink between the cognition user and the cognition base station and feeds the channel state information back to the cognition base station, and an authorized user estimates channel state information of a communication link between the authorized user and the cognition user and feeds a spectrum distance function and the channel state information of the communication link between the authorized user and the cognition user back to the cognition base station; the cognition base station obtains spectrum hole information and sends the spectrum hole information to the cognition user; the cognition base station adopts an inherent immunity method to distribute the frequency and power resources in the cognition OFDM network based on spectrum lining and filling. The resource distribution method of the cognition OFDM network based on spectrum lining and filling distributes the resources in a self-adaptive mode from the two dimensions of frequency and power, and provides technical support for effectively using wireless resources in the cognition OFDM network based on spectrum lining and filling and improving the throughout of the cognition OFDM network based on spectrum lining and filling.

Description

Based on frequency spectrum liner and the cognitive OFDM network resource allocation methods of filling

Technical field

It is the invention belongs to communication technical field, particularly a kind of based on frequency spectrum liner and the cognitive OFDM Internet resources of filling Distribution method.

Background technology

Radio spectrum resources are a kind of non-renewable resources, generally it is managed and is distributed by national authority Utilize, continuously emerge and urgent needss of the consumer to broadband wireless communications recently as a large amount of new communication equipments so that People are sharply increased to the demand of wireless frequency spectrum.In order to solve, the availability of frequency spectrum is relatively low to need ever-increasing lance with user's frequency spectrum Shield, people start how conception is carried out fully to existing frequency spectrum resource in the case where authorized user's network proper communication is not affected Utilize, this idea proposes challenge to fixed frequency spectrum distribution policy.Under this background, cognitive radio technology is opened A kind of new radio spectrum resources utilize theory, and its core concept is to frequency in the case where authorized user's proper communication is not affected Spectrum is utilized.

At the same time, OFDM (Orthogonal Frequency Division Multiplexing, OFDM) technology not only possesses the high availability of frequency spectrum, and disclosure satisfy that requirement of the cognitive radio to modulating.In cognitive OFDM In network, how cognitive user is a key issue with authorized user's share spectrum resources, and the problem is directly determined to money The design of source assignment problem method.At present, two kinds of frequency spectrum share models are based primarily upon to the research of cognitive OFDM networks：Frequency spectrum is served as a contrast Pad model and frequency spectrum filling model.Based in frequency spectrum liner cognition OFDM networks, cognitive OFDM network base stations are in acquisition from recognizing User is known on the premise of authorized user's channel gain, by controlling cognitive user to the interference of authorized user less than interference temperature Degree is limited so that cognitive user and authorized user can be coexisted in same mandate frequency spectrum.Cognition OFDM nets are being filled based on frequency spectrum In network, cognitive user is obtained in the section communication chance for authorizing frequency spectrum by way of chance accesses frequency spectrum, therefore, in this mould Under formula, the service quality of authorized user will not be affected by cognitive user communication and be declined.To be filled based on frequency spectrum and based on frequency The cognitive OFDM networks new frequency spectrum access way of spectrum liner both of which, referred to as based on frequency spectrum liner and the cognitive OFDM nets of filling Network.

Patent 1（Based on the multi-user resource distributing method of cognitive radio system, Xian Electronics Science and Technology University, publication number CN1878027, application number CN200610043081.9, applying date 2006.06.30）Disclose a kind of based on cognitive radio system The multi-user resource distributing method of system, when authorized user's frequency spectrum cavity-pocket is multiplexed, many cognitive users in cognitive AP nodes and system In downlink communication, it then follows proportional fairness principle carries out resource allocation.Patent 2（Equitable proportion is based in cognitive OFDMA system With the power distribution method of interference constraints, Zhejiang University, publication number CN102149203A, application number CN201110098565.4, Applying date 2011.04.14）Disclose the power distribution side based on equitable proportion and interference constraints in a kind of cognitive OFDMA system Method, the equitable proportion factor of the method first according to cognitive user, total power constraint and fixed rate value are carried out between cognitive user Power distribution, then each cognitive user carry out carrier power distribution using fast water injection method.But above-mentioned two patent is present Problem be not account for combining the cognitive ofdm system resource allocation filled based on frequency spectrum and based on frequency spectrum liner pattern, it is impossible to It is enough fully excavate based on frequency spectrum fill and cognitive OFDM networks based on frequency spectrum liner in radio spectrum resources, resource utilization compared with It is low.

The content of the invention

It is an object of the invention to provide a kind of efficient cognitive OFDM Internet resources based on frequency spectrum liner and filling point Method of completing the square, from two dimension dynamic on-demand Resources allocation of frequency and power, has fully excavated the wireless frequency in cognitive OFDM networks Spectrum resource.

The technical solution for realizing the object of the invention is：A kind of cognitive OFDM networks based on frequency spectrum liner and filling are provided Source distribution method, comprises the following steps：

Step 1, cognitive base station obtain the channel condition information required for resource allocation；

Step 2, cognitive base station obtain frequency spectrum cavity-pocket information and are sent to cognitive user；

Step 3, cognitive base station is using heredoimmunity method in the cognitive OFDM networks based on frequency spectrum liner and filling Frequency and power resource are allocated, and comprise the following steps that：

Step 3.1, cognitive base station initialize the parameter of heredoimmunity method, and carry out coding formation to the antibody in population Antibody vector, the antibody vector include frequency and power resource；

Step 3.2, determines the expectation reproductive probability of each antibody；

Step 3.3, from population, desirably reproductive probability extracts parent population and data base population, fits in finding population Maximum antibody should be worth；

Step 3.4, carries out selection operation by roulette selection mechanism antagonist group first and obtains antibody in new colony, so Afterwards antibody in new colony is obtained to antibody in new colony being produced by selection operation and carrying out crossover operation by single-point cross method, Become dystopy finally by random selection to obtain in new colony to producing antibody in new colony by crossover operation and carrying out mutation operation Antibody, the new colony of gained merge data base population, collectively form antibody of new generation；

Step 3.5,3.2~3.4NI of repeat step_gIt is secondary, the optimal solution of output frequency and power resource allocation, NI_gRepresent and lose Pass the maximum iteration time of immunization method.

Compared with prior art, its remarkable advantage is the present invention：（1）Based on frequency spectrum liner and the cognitive OFDM networks of filling Resource allocation methods, from two dimension dynamic on-demand Resources allocation of frequency and power, have fully excavated nothing in cognitive OFDM networks Line frequency spectrum resource；（2）Subcarrier and power are not fixed allocations, and motility by force, is to improve based on frequency spectrum liner and filling Cognitive OFDM network throughputs provide technical support.

Description of the drawings

Fig. 1 is the present invention based on frequency spectrum liner and the flow chart of the cognitive OFDM network resource allocation methods of filling.

Fig. 2 is the flow chart being allocated to frequency and power resource using heredoimmunity method in the present invention.

Fig. 3 is heredoimmunity method antibody coding schematic diagram of the present invention.

Fig. 4 is the cognitive OFDM network spectrums access schematic diagram in the embodiment of the present invention 1 based on frequency spectrum liner and filling.

Fig. 5 be the embodiment of the present invention 1 in based on frequency spectrum liner and filling cognitive OFDM network communication links schematic diagram.

Specific embodiment

Below in conjunction with the accompanying drawings and specific embodiment is described in further detail to the present invention.

With reference to Fig. 1, based on frequency spectrum liner and the cognitive OFDM network resource allocation methods of filling, step is as follows for the present invention：

Step 1, cognitive base station obtain resource allocation required for channel condition information, including cognitive user estimate oneself with The channel gain of cognitive base station downlinkAnd by channel gainFeed back to cognitive base station；Authorized user estimates son Carrier wave k^*The channel gain of upper oneself communication link and cognitive user betweenAnd distance function will be composedAnd channel GainFeed back to cognitive base station；Wherein,Represent downlink between cognitive user m and cognitive base station on sub-carrierk Channel gain,Represent in subcarrier k^*Upper authorized user and the channel gain of cognitive user communication link,Represent Subcarrier k and subcarrier k^*Between spectrum distance function,Represent subcarrier k and subcarrier k^*Between spectrum distance from.

Step 2, cognitive base station obtain frequency spectrum cavity-pocket information and are sent to cognitive user；Specially：Cognitive base station detection is awarded Radio spectrum resources in power network, obtain the frequency in current grant network through the message processing module analysis in cognitive base station Spectrum utilization state information, formation can reflect the frequency spectrum detection report of frequency spectrum cavity-pocket, and frequency spectrum detection report is passed through by cognitive base station The mode of broadcast is sent to cognitive user.

Step 3, cognitive base station is using heredoimmunity method in the cognitive OFDM networks based on frequency spectrum liner and filling Frequency and power resource are allocated, with reference under Fig. 2 concrete steps：

Step 3.1, cognitive base station initialize the parameter of heredoimmunity method, and carry out coding formation to the antibody in population Antibody vector, the antibody vector include frequency and power resource, specially：

（1）Cognitive base station initializes the parameter of heredoimmunity method：Antibody number N I in initialization population_p, heredoimmunity The iterationses NI of method_g, NI_p、NI_gIt is integer and 80≤NI_p≤100、800≤NI_g≤1000；Make iterationses sequence number Subcarrier distributes indicator variable to gen=1, initial runtime t cognitive user m on sub-carrierkExist with moment t cognitive user m Power distribution indicator variable on subcarrier k

（2）With reference to Fig. 3, coding is carried out to the antibody in population and forms antibody vector：NI in initialization population_pIt is individual anti- Body, the coded system that antibody is adopted forVector x (gen) inIndicate that vector c (gen) is constituted by subcarrier distribution, vectorial c (gen) meets formula (1)；Vector x (gen) inIndicate that vector p (gen) is constituted by power distribution, vectorial p (gen) meets formula (2)；And to Amount c (gen) and vector p (gen) are while meet formula (3)；

In formula (3),Represent based on frequency spectrum liner pattern subcarrier k^*On maximum interference power thresholding,Represent subcarrier k to based on frequency spectrum liner pattern subcarrier k^*Spectrum distance function,Determination formula such as formula (4)；T express times are indexed, and m represents that cognitive user is indexed, and k represents sub-carrier indices, and M represents cognitive user number, and K represents son Carrier number, P_maxRepresent that maximum transmission power is limited, antibody coding vector, T when x (gen) represents the gen time iteration_sRepresent The time interval of OFDM symbol, Δ f represent the bandwidth of each subcarrier,Represent authorized user subcarrier k^*On interference work( Rate thresholding.

Step 3.2, determines the expectation reproductive probability of each antibody, specially：

The expectation reproductive probability P of antibody v is determined using formula (5)_v：

In formula, α represents weight coefficient, NI_pRepresent antibody number in population, A_vRepresent the affinity between antibody and antigen Function, C_vRepresent the affine force function between antibody and antibody, wherein A_vDetermined using formula (6)：

In formula (6),Show that the channel of communication link between cognitive user m and cognitive base station on sub-carrierk increases Benefit, σ²Represent Background Noise Power, ξ_m,kRepresent jamming power of other authorized users to cognitive user m on sub-carrierk；

C_vDetermined using formula (7)：

In formula (7), T_v,uRepresent antibody concentration, T_v,uComputing formula as shown in (8)：

In formula (8), T represents a thresholding set in advance, S_v,uThe similarity between antibody v and antibody u is represented, S_v,uComputing formula as shown in (9)：

In formula (9),Antibody v i-th bits are represented,Represent the i-th bit of antibody u.

Step 3.3, from population, desirably reproductive probability extracts parent population and data base population, fits in finding population Maximum antibody should be worth, specially：

By the desirably reproductive probability P of the antibody in colony_vDescending is arranged, and extracts and hope reproductive probability most from population Big NI₁Individual antibody as parent population, while by reproductive probability maximum NI_p-NI₁Individual antibody is stored in data base, using public affairs Formula (10) determines the adaptive value F (x of each antibody_i(gen) the maximum antibody of adaptive value in population when), finding the gen time iteration x_best(gen)：

Above-mentioned NI₁Represent the number of antibody in parent population, NI_p-NI₁Represent the number of antibody in data base population, x_best (gen) the maximum antibody of adaptive value in population when representing the gen time iteration.

Step 3.4, carries out selection operation by roulette selection mechanism antagonist group first and obtains antibody in new colony, so Afterwards antibody in new colony is obtained to antibody in new colony being produced by selection operation and carrying out crossover operation by single-point cross method, Become dystopy finally by random selection to obtain in new colony to producing antibody in new colony by crossover operation and carrying out mutation operation Antibody, then take out from data base, the new colony of gained merges NI in data base_p-NI₁Individual antibody, collectively forms antibody of new generation.

Step 3.5,3.2~3.4NI of repeat step_gIt is secondary, the optimal solution of output frequency and power resource allocation, even gen ← gen+1,3.2~3.4NI of repeat step_gIt is secondary, export x_best(gen) as optimal solution, and it is based on using formula (10) determination Frequency spectrum liner and the cognitive OFDM network throughputs of filling, NI_gRepresent the maximum iteration time of heredoimmunity method.

With reference to specific embodiment, the invention will be further described.

Embodiment 1

With reference to accompanying drawing 1~5, the present invention based on frequency spectrum liner and the cognitive OFDM network resource allocation methods of filling, specifically Step is as follows：

Step 1, cognitive base station obtain the channel condition information required for resource allocation.

If having N=8 authorized user in authorizing network, number of sub carrier wave has K=64；Fig. 4 is served as a contrast based on frequency spectrum for the present invention Pad and the cognitive OFDM network spectrums filled access schematic diagram, cognitive base station usable spectrum resource K_t={ 8 × (kt-1)+1~8 × kt, kt=1,3,5,7,9,11,13,15 }, f_c=990MHz, Δ f=62.5KHz, F₁=0.5MHz, F₂=1MHz, F₃= 1.5MHz, F₄=2MHz；f_cRepresent the cognitive OFDM networks initial frequency filled based on frequency spectrum, F₁、F₂、F₃And F₄Branch represents frequency Relative initial frequency with 1, frequency band 2, frequency band 3 and frequency band 4, Δ f represent each subcarrier spacing；Fig. 5 be the present invention based on Frequency spectrum liner and the cognitive OFDM network communication links schematic diagram of filling.

Step 2, cognitive base station obtain frequency spectrum cavity-pocket information and are sent to cognitive user.

Step 3, cognitive base station is using heredoimmunity method in the cognitive OFDM networks based on frequency spectrum liner and filling Frequency and power resource are allocated.M=3 cognitive user is had based on the cognitive OFDM networks of frequency spectrum liner and filling：First, The parameter of cognitive base station initialization heredoimmunity method and the antibody in population is encoded, antibody vector include frequency and Power resource, if antibody number N I in population_p=90, the iterationses NI of heredoimmunity method_g=900, gen=1 is made, initially ChangeWithDetermined using formula (1)In formula (3), based on frequency spectrum liner pattern subcarrier k^*On Maximum interference power thresholdingTime interval T of OFDM symbol_s=40us, bandwidth deltaf f of each subcarrier =125KHz；Then, it is determined that the expectation reproductive probability of each antibody, weight coefficient α=0.3, Background Noise Power σ²=1 × 10^-11W, thresholding T=30 set in advance；Secondly, the NI of prestige reproductive probability maximum is extracted from population₁=10 antibody are used as father For population；Again, selection operation is carried out using roulette selection mechanism antagonist group and obtains antibody in new colony, handed over using single-point Fork method antagonist group carries out crossover operation and obtains antibody in new colony, and the method antagonist group for becoming dystopy using random selection enters Row variation operation obtains antibody in new colony, then NI is taken out from data base_p-NI₁Individual antibody, collectively forms antibody of new generation；Most Afterwards, gen ← gen+1, repeat the above steps NI are made_gIt is secondary, export x_best(gen) as optimal solution, and determined using formula (10) Based on frequency spectrum liner and the cognitive OFDM network throughputs of filling.

In sum, the present invention based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, from frequency with Two dimension dynamic on-demand Resources allocation of power, have fully excavated radio spectrum resources in cognitive OFDM networks；And subcarrier It is not fixed allocation with power, motility by force, is to improve to carry based on the cognitive OFDM network throughputs of frequency spectrum liner and filling For technical support.

Claims (7)

1. it is a kind of based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, it is characterised in that including following step Suddenly：

Step 1, cognitive base station obtain the channel condition information required for resource allocation；

Step 2, cognitive base station obtain frequency spectrum cavity-pocket information and are sent to cognitive user；

Step 3, cognitive base station is using heredoimmunity method to the frequency in the cognitive OFDM networks based on frequency spectrum liner and filling It is allocated with power resource, comprises the following steps that：

Step 3.1, cognitive base station initialize the parameter of heredoimmunity method, and carry out coding to the antibody in population and form antibody Vector, the antibody vector include frequency and power resource；

Step 3.2, determines the expectation reproductive probability of each antibody；

Step 3.3, from population, desirably reproductive probability extracts parent population and data base population, finds adaptive value in population Maximum antibody；

Step 3.4, carries out selection operation by roulette selection mechanism antagonist group first and obtains antibody in new colony, Ran Houtong Cross single-point cross method and obtain antibody in new colony to antibody in new colony being produced by selection operation and carrying out crossover operation, finally Become dystopy and obtain antibody in new colony to antibody in new colony being produced by crossover operation and carrying out mutation operation by randomly choosing, The new colony of gained merges data base population, collectively forms antibody of new generation；

Step 3.5,3.2~3.4NI of repeat step_gIt is secondary, the optimal solution of output frequency and power resource allocation, NI_gRepresent that heredity is exempted from The maximum iteration time of epidemic disease method.

2. it is according to claim 1 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature It is that the cognitive base station described in step 1 obtains the channel condition information required for resource allocation, including cognitive user estimates oneself With the channel gain of cognitive base station downlinkAnd by channel gainFeed back to cognitive base station；Authorized user estimates Subcarrier k^*The channel gain of upper oneself communication link and cognitive user betweenAnd distance function will be composedAnd letter Road gainFeed back to cognitive base station；Wherein,Represent descending chain between cognitive user m and cognitive base station on sub-carrierk The channel gain on road,Represent in subcarrier k^*Upper authorized user and the channel gain of cognitive user communication link,Table Show subcarrier k and subcarrier k^*Between spectrum distance function,Represent subcarrier k and subcarrier k^*Between spectrum distance from.

3. it is according to claim 1 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature It is that the cognitive base station described in step 2 obtains frequency spectrum cavity-pocket information and is sent to cognitive user, specially：Cognitive base station is detected Radio spectrum resources in mandate network, obtain in current grant network through the message processing module analysis in cognitive base station Spectrum utilization status information, formation can reflect the frequency spectrum detection report of frequency spectrum cavity-pocket, and cognitive base station will be frequency spectrum detection report logical The mode for crossing broadcast is sent to cognitive user.

4. it is according to claim 2 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature It is that the cognitive base station described in step 3.1 initializes the parameter of heredoimmunity method, and carries out coding shape to the antibody in population Into antibody vector, the antibody vector includes frequency and power resource, specially：

(1) cognitive base station initializes the parameter of heredoimmunity method：Antibody number N I in initialization population_p, heredoimmunity method Iterationses NI_g, NI_p、NI_gIt is integer and 80≤NI_p≤100、800≤NI_g≤1000；Iterationses sequence number gen=1 is made, Subcarrier distributes indicator variable to initial runtime t cognitive users m on sub-carrierkWith moment t cognitive user m in subcarrier k Upper power distribution indicator variable

(2) coding is carried out to the antibody in population and forms antibody vector：NI in initialization population_pIndividual antibody, the volume that antibody is adopted Code mode beIn vector x (gen)Indicate that vector c (gen) is constituted by subcarrier distribution, vectorial c (gen) meets formula (1)；In vector x (gen)Indicate that vector p (gen) is constituted by power distribution, vectorial p (gen) meets formula (2)；And vector c (gen) With vectorial p (gen) while meeting formula (3)；

$\underset{m=1}{\overset{M}{\mathrm{\Σ}}}{c}_{m,k}^t\≤1,and{c}_{m,k}^t\≥0,\∀m,k,t---\left(1\right)$

$\left\{\begin{array}{c}\underset{m=1}{\overset{M}{\mathrm{\Σ}}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{c}_{m,k}^t{p}_{m,k}^t\≤P_{max}\\ p_{m,k}^t\≥0,\∀m,k,t\end{array}\right.---\left(2\right)$

${\left|h_{k^{*}}^{CP}\right|}^2\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{K}{\mathrm{\&Sigma;}}}{c}_{m,k}^t{p}_{m,k}^{t}I\left(d_{k,k^{*}}\right)<I_{th}^{\left(k^{*}\right)}---\left(3\right)$

$I\left(d_{k,k^{*}}\right)=T_s{\&Integral;}_{d_{k,k^{*}}-\mathrm{\&Delta;}f/2}^{d_{k,k^{*}}+\mathrm{\&Delta;}f/2}{\left(\frac{{\mathrm{sin\&pi;fT}}_s}{{\mathrm{\&pi;fT}}_s}\right)}^{2}df---\left(4\right)$

In formula (3),Represent based on frequency spectrum liner pattern subcarrier k^*On maximum interference power thresholding,Table Show subcarrier k to based on frequency spectrum liner pattern subcarrier k^*Spectrum distance function,Determination formula such as formula (4)；T is represented Time index, m represent that cognitive user is indexed, and k represents sub-carrier indices, and M represents cognitive user number, and K represents number of sub carrier wave, P_maxRepresent that maximum transmission power is limited, antibody coding vector, T when x (gen) represents the gen time iteration_sRepresent OFDM symbol Time interval, Δ f represent the bandwidth of each subcarrier,Represent authorized user subcarrier k^*On jamming power thresholding.

5. it is according to claim 2 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature It is, the expectation reproductive probability of determination each antibody described in step 3.2, specially：

The expectation reproductive probability P of antibody v is determined using formula (5)_v：

$P_v=\mathrm{\&alpha;}\frac{A_v}{\underset{v=1}{\overset{{\mathrm{NI}}_p}{\mathrm{\&Sigma;}}}{A}_v}+(1-\mathrm{\&alpha;})\frac{C_v}{\underset{v=1}{\overset{{\mathrm{NI}}_p}{\mathrm{\&Sigma;}}}{C}_v}---\left(5\right)$

In formula, α represents weight coefficient, NI_pRepresent antibody number in population, A_vRepresent the affinity letter between antibody and antigen Number, C_vRepresent the affine force function between antibody and antibody, wherein A_vDetermined using formula (6)：

$A_v=\mathrm{\&Delta;}f\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{K}{\mathrm{\&Sigma;}}}{c}_{m,k}^t{\log }_2(1+\frac{{\left|g_{m,k}^{CB}\right|}^2{p}_{m,k}^t}{{\mathrm{\&sigma;}}^2+{\mathrm{\&xi;}}_{m,k}})---\left(6\right)$

In formula (6), M represents cognitive user number, and K represents number of sub carrier wave,Show cognitive user m on sub-carrierk The channel gain of communication link, σ between cognitive base station²Represent Background Noise Power, ξ_m,kRepresent that other are awarded on sub-carrierk Power jamming power of the user to cognitive user m；

C_vDetermined using formula (7)：

$C_v=\frac{1}{{\mathrm{NI}}_p}\underset{u=1,u\&NotEqual;v}{\overset{{\mathrm{NI}}_p}{\mathrm{\&Sigma;}}}{T}_{v,u}---\left(7\right)$

In formula (7), T_v,uRepresent antibody concentration, T_v,uComputing formula as shown in (8)：

In formula (8), T represents a thresholding set in advance, S_v,uRepresent the similarity between antibody v and antibody u, S_v,u Computing formula as shown in (9)：

$S_{v,u}=\frac{\underset{i=1}{\overset{2MK}{\mathrm{\&Sigma;}}}\left|a_v^i-a_u^i\right|}{2MK}---\left(9\right)$

In formula (9),Antibody v i-th bits are represented,Represent the i-th bit of antibody u.

6. it is according to claim 4 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature Be, described in step 3.3 from population, desirably reproductive probability extracts parent population and data base population, find in population Adaptive value maximum antibody, specially：

By the desirably reproductive probability P of the antibody in colony_vDescending is arranged, and extracts hope reproductive probability maximum from population NI₁Individual antibody as parent population, while by reproductive probability maximum NI_p-NI₁Individual antibody is stored in data base, using formula (10) the adaptive value F (x of each antibody are determined_i(gen) the maximum antibody x of adaptive value in population when), finding the gen time iteration_best (gen)：

$F\left(x_i\right(gen\left)\right)=\mathrm{\&Delta;}f\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{K}{\mathrm{\&Sigma;}}}{c}_{m,k}^t{\log }_2(1+\frac{{\left|g_{m,k}^{CB}\right|}^2{p}_{m,k}^t}{{\mathrm{\&sigma;}}^2+{\mathrm{\&xi;}}_{m,k}})---\left(10\right)$

Above-mentioned NI₁Represent the number of antibody in parent population, NI_p-NI₁Represent the number of antibody in data base population, x_best (gen) the maximum antibody of adaptive value in population when representing the gen time iteration.

7. it is according to claim 6 based on frequency spectrum liner and filling cognitive OFDM network resource allocation methods, its feature It is, 3.2~3.4NI of repeat step described in step 3.5_gIt is secondary, the optimal solution of output frequency and power resource allocation, even gen ← gen+1,3.2~3.4NI of repeat step_gIt is secondary, export x_best(gen) as optimal solution, and it is based on using formula (10) determination Frequency spectrum liner and the cognitive OFDM network throughputs of filling.