CN114143890B - Method and system for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels - Google Patents
Method and system for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels Download PDFInfo
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Abstract
The invention discloses a method and a system for optimizing transmission power in unmanned aerial vehicle communication based on an overlapped channel, belonging to the technical field of unmanned aerial vehicle communication anti-interference, and comprising the following steps: acquiring an overlapped channel allocation scheme of an unmanned aerial vehicle user, acquiring an interference power convergence value of an interference machine when the unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a preliminary screening overlapped channel allocation scheme meeting preset requirements; calculating the optimal transmission power and communication utility value of each primary screening overlapping channel allocation scheme when the unmanned aerial vehicle user uses the primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result; the anti-interference decision dimension is expanded, and better anti-interference performance and higher transmission power are obtained.
Description
Technical Field
The invention relates to a method and a system for optimizing transmission power in unmanned aerial vehicle communication based on an overlapped channel, and belongs to the technical field of unmanned aerial vehicle communication anti-interference.
Background
With the rapid development of the unmanned aerial vehicle technology, the unmanned aerial vehicle has the advantages of low cost, convenient carrying, rapid response and the like, so that the unmanned aerial vehicle is widely applied to a plurality of fields such as military affairs, transportation, agriculture and the like, and particularly in military affairs, the operation mode of unmanned aerial vehicle group operation is widely concerned and becomes a research hotspot; the unmanned aerial vehicle group is collective motion obtained by people according to simulation of biological clustering behaviors such as natural wolf colonies, bee colonies, fish swarms and the like, and achieves target tasks through cooperative combat, information sharing and work division cooperation, so that the benefit maximization of the clusters is realized; however, most unmanned aerial vehicles use a conventional civil frequency band, and a multi-unmanned aerial vehicle communication network is easily attacked by malicious attacks such as interference and eavesdropping, so that communication data among unmanned aerial vehicle users is lost and interrupted due to malicious interference, and therefore the anti-interference problem of the unmanned aerial vehicle group communication network is a problem to be solved urgently.
In a multi-unmanned aerial vehicle communication network scene, an unmanned aerial vehicle aims at realizing the optimal information transmission rate, and an interference machine aims at realizing the maximization of an interference effect; therefore, considering decision hierarchical structures of unmanned aerial vehicles and jammers, game theory is one of the mainstream methods for solving the anti-interference problem of the multi-unmanned aerial vehicle communication network, for a co-channel anti-interference scene, the prior art optimizes user transmission parameters by using game theory, and researches on ensuring the performance of the multi-unmanned aerial vehicle communication network have achieved more achievements, but the application range of the co-channel anti-interference scene has singleness and limitation, and the existing researches mainly concern about malicious interference of the jammers on the unmanned aerial vehicles, and neglect the mobility and the capability of actively avoiding the interference of users of the unmanned aerial vehicles.
Disclosure of Invention
The invention aims to provide a method and a system for optimizing transmission power in unmanned aerial vehicle communication based on an overlapped channel, which expand anti-interference decision dimension and obtain better anti-interference performance and higher transmission power.
In order to realize the purpose, the invention is realized by adopting the following technical scheme:
a method for optimizing transmission power in unmanned aerial vehicle communication based on an overlapping channel comprises the following steps:
acquiring an overlapped channel allocation scheme, acquiring an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a preliminary screening overlapped channel allocation scheme meeting preset requirements;
calculating the optimal transmission power and communication utility value of each primary screening overlapping channel allocation scheme when the unmanned aerial vehicle user uses the primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result;
the optimal transmission power of the unmanned aerial vehicle user when using each preliminary screening overlapping channel allocation scheme is calculated by the following method:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,λ i the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,
represents the maximum of 0;
the updating method of the Lagrange multiplier comprises the following steps:
wherein the content of the first and second substances,
for the initial value of the iteration step size,P M representing the maximum transmission power of the user of the drone,kthe number of iterations is indicated and,P n representing unmanned aerial vehicle usersnThe transmission power of the transmission,
represents the maximum of 0;
the communication utility value of the unmanned aerial vehicle user when using each preliminary screening overlapping channel allocation scheme is calculated through a pre-designed utility function:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd interferenceThe interference factor of the degree of the channel overlap between the two,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
Preferably, the method further comprises the step of constructing an anti-interference model of the multi-unmanned aerial vehicle communication network: constructing a structure comprisingnUnmanned aerial vehicle communication network anti-interference model of individual unmanned aerial vehicle user and 1 interference machine.
Preferably, the preliminary screening overlapping channel allocation scheme is obtained by: and screening out the interference power convergence value of which the interference power convergence value is not lower than a preset power threshold value, wherein the corresponding overlapping channel allocation scheme is a primary screening overlapping channel allocation scheme.
Transmission power optimization system in unmanned aerial vehicle communication based on overlapping channel includes:
channel prescreening module: the method comprises the steps of obtaining an overlapped channel allocation scheme, obtaining an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a primary screening overlapped channel allocation scheme meeting preset requirements;
a power optimization module: the method is used for calculating the optimal transmission power and communication utility value of the unmanned aerial vehicle user when using each primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result;
the power optimization module comprises a first calculation unit, a second calculation unit and a power optimization unit, wherein the first calculation unit is used for calculating the optimal transmission power of the unmanned aerial vehicle user when the unmanned aerial vehicle user uses each primary screening overlapping channel allocation scheme through the following formula;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,λ i the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,
represents the maximum of 0;
the updating method of the Lagrange multiplier comprises the following steps:
wherein the content of the first and second substances,
for the initial value of the iteration step size,P M to representThe maximum transmission power of the user of the drone,kthe number of iterations is indicated and,P n representing unmanned aerial vehicle usersnThe transmission power of the transmission,
represents the maximum of 0;
the power optimization module comprises a second calculation unit, a second calculation unit and a second calculation unit, wherein the second calculation unit is used for calculating communication utility values of the unmanned aerial vehicle users when using the primary screening overlapping channel allocation schemes;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
Preferably, the method further comprises the model construction module: for constructing a packagenUnmanned aerial vehicle communication network anti-interference model of individual unmanned aerial vehicle user and 1 interference machine.
Preferably, the channel preliminary screening module includes a screening unit, configured to screen an interference power convergence value of which the interference power convergence value is not lower than a preset power threshold, and the corresponding overlapping channel allocation scheme is a preliminary screening overlapping channel allocation scheme.
Compared with the prior art, the invention has the following beneficial effects:
according to the method and the system for optimizing the transmission power in the unmanned aerial vehicle communication based on the overlapped channel, provided by the invention, the interference power convergence value of the jammer is screened to obtain a preliminary screening overlapped channel distribution scheme meeting the preset requirement, a certain interference effect of the jammer in the actual situation is considered, and the practicability is better; the optimal transmission power and the communication utility value of each primary screening overlapping channel allocation scheme used by the unmanned aerial vehicle user are calculated, and then the optimal overlapping channel allocation scheme and the corresponding optimal transmission power are selected by screening the communication utility value.
Drawings
Fig. 1 is a schematic diagram of an anti-interference model of a multi-drone communication network according to an embodiment of the present invention;
FIG. 2 is a diagram of distributed channels in an 802.11b band, provided by an embodiment of the present invention;
fig. 3 is a diagram of a simulated location distribution of a user of an unmanned aerial vehicle and an interfering machine according to an embodiment of the present invention;
fig. 4 is a transmission power convergence curve diagram of 3 drone users under the same channel in different overlapping channel allocation schemes according to the embodiment of the present invention;
fig. 5 is a transmission power convergence curve diagram of 3 drone users under 2 channels in different overlapping channel allocation schemes according to an embodiment of the present invention;
fig. 6 is a transmission power convergence curve diagram of 3 channels of 3 drone users in different overlapping channel allocation schemes according to an embodiment of the present invention;
fig. 7 is a transmission power convergence curve diagram of 3 drone users under 4 channels in different overlapping channel allocation schemes according to an embodiment of the present invention;
fig. 8 is a graph of convergence of transmission power of 3 drone users in co-channel in fig. 4;
fig. 9 is a graph of convergence of transmission power for 3 drone users for channel 2 in fig. 5;
fig. 10 is a graph of convergence of transmission power for 3 drone users for the 3 channels of fig. 6;
fig. 11 is a graph of convergence of transmission power for 3 drone users for the 4 channels of fig. 7;
fig. 12 is a comparison graph of communication utility values of the user of the unmanned aerial vehicle in the co-channel and the overlapping channel according to the embodiment of the present invention;
fig. 13 is a comparison graph of communication utility values of jammers in the co-channel and the overlapping channel according to the embodiment of the present invention;
fig. 14 is a flowchart of a method for optimizing transmission power in communication of drones based on overlapping channels according to an embodiment of the present invention.
Detailed Description
The present invention is further described with reference to the accompanying drawings, and the following examples are only for clearly illustrating the technical solutions of the present invention, and should not be taken as limiting the scope of the present invention.
Example 1
As shown in fig. 14, a method for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels according to an embodiment of the present invention includes:
constructing the structure as shown in FIG. 1 comprisesnThe anti-jamming model of many unmanned aerial vehicle communication network of individual unmanned aerial vehicle user and 1 interference machine, wherein each unmanned aerial vehicle user includes a sending terminal unmanned aerial vehicle and a receiving terminal unmanned aerial vehicle. The unmanned aerial vehicle user and the jammer initially work on the same channel, and through game countermeasure, the unmanned aerial vehicle user and the jammer obtain optimal working power.
In addition, in order to ensure that the jammer achieves a certain interference effect, the interference power of the jammerJIs greater than 20W.
Designing utility functions for unmanned aerial vehicle users and jammers; according to the different goals of unmanned aerial vehicle users and jammers in the multi-unmanned aerial vehicle communication network, the earnings of the unmanned aerial vehicle users and the jammers in the multi-unmanned aerial vehicle communication network are formulated, and the specific method is as follows: the benefit of the unmanned aerial vehicle user in the multi-unmanned aerial vehicle communication network is the transmission information amount, and the cost is the transmission cost and the channel switching cost, so that the final effective benefit of the unmanned aerial vehicle user is the benefit minus the cost; and the benefit of the jammer in the drone communication network is the total information transmission amount of the drone user, wherein the benefit is negative, and the cost is the interference transmission cost and the channel switching cost.
Unmanned aerial vehicle useriThe utility function of (a) is expressed as:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m indicating unmanned aerial vehicleUser' smThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
The utility function of the jammer is expressed as:
wherein, the negative sign is added before the formula to represent the interference effect of the jammer, the summation formula represents the total transmission information quantity of all the unmanned aerial vehicle users,Bwhich represents the bandwidth of the channel and,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,
representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the overlapping degree of the two channels and the transmission cost and the switching cost of the jammer are respectively represented,dindicating the interval after the jammer switches channels from the previous channel,Mrepresenting the energy consumed by the jammer in seeking the drone user.
The overlapped channel allocation scheme of the drone user is designed in advance, and in the embodiment, the overlapped channel allocation scheme includes that the drone user switches to adjacent 1 channel/2 channel/3 channel/4 channel.
And acquiring an overlapped channel allocation scheme of the unmanned aerial vehicle user, and implementing the overlapped channel allocation scheme of the unmanned aerial vehicle user.
In order to obtain higher information transmission rate, the unmanned aerial vehicle users with higher power are sequentially switched to other adjacent channels to avoid the interference effect of the jammers, and the jammers perform interference activities along with the switching of the channels of the unmanned aerial vehicle users.
For example, as shown in fig. 2, when the user of the drone is switched to 1 channel/2 channel/3 channel/4 channel, the spectrum utilization efficiency of the multi-drone communication network can be improved by using the overlapping channels, and malicious interference caused by co-channel jammers can be reduced, because the overlapping part exists in adjacent channels, interference can be caused to the data received by the receiver, and the overlapping degree can be expressed by an interference factor:
wherein the content of the first and second substances,
representing the channel difference between the transmitter and the receiver of the drone user or representing the channel difference between the jammer and the receiver of the drone user.
Unmanned aerial vehicle useriAnd switching to a channel 1 with an interference machine, and optimizing and analyzing by adopting an anti-interference model of the multi-unmanned aerial vehicle communication network.
For the drone user, the optimization objective can be expressed as:
wherein the content of the first and second substances,P M represents the maximum power of the drone user,P 1 ,…,P i ,…,P n representing the transmission power of the drone user.
According to pre-designed unmanned aerial vehicle useriThe utility function and the overlapping channel allocation scheme of (2) can solve the transmission power expression of the unmanned aerial vehicle user by using a dual optimization theory.
In the anti-interference optimization process, the interference power of the jammer is given preferentially, and the unmanned aerial vehicle user continuously adjusts the power of the unmanned aerial vehicle user to obtain the optimal transmission power as follows:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,λ i the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermInterference factors of the overlapping degree of the two channels;
for the jammers, the jammers preferentially adopt the interference strategy, and the optimization target of the jammers is expressed as:
wherein the content of the first and second substances,J M represents the maximum power of the drone user,P 1(J),…，P i (J),……, P n (J) Representing the transmission power of the drone user in case of interference.
In the process of anti-interference optimization, the jammer continuously adjusts the self power to obtain the optimal interference power as follows:
wherein the content of the first and second substances,Jcan be solved by a computer: the multi-unmanned aerial vehicle communication network comprises 3 unmanned aerial vehicle users and 1 jammer, the first-order partial derivative is zero by solving the partial derivative of the Lagrange function of the jammer, and the partial derivative is related toJDue to the third order equationJThe closed-form solution of (a) is too complex, so the solution of the solution on the solution function in the software MATLAB is utilizedJSolution of real numbers, truncationJTwo other solutions; then put this inJSubstituting the numerical value into an iterative formula to solve the final equilibrium solution.
And solving an interference power expression of the jammer by using a dual optimization theory according to a pre-designed utility function of the jammer.
The number of unmanned aerial vehicle users in the multi-unmanned aerial vehicle communication network isnIs obtained byThe following optimal strategy:
preferentially obtaining optimal transmission power corresponding to optimal anti-interference strategy of unmanned aerial vehicle userP i (J) By passingP i (J) The interference power corresponding to the optimal interference strategy of the jammer can be obtainedJ。
And solving the optimal power of the unmanned aerial vehicle user and the jammer by using an optimization algorithm according to the power expression of the unmanned aerial vehicle user and the jammer.
The method for updating the Lagrange multiplier of the unmanned aerial vehicle user comprises the following steps:
wherein the content of the first and second substances,
is an initial value of the iteration step.
The method for updating the Lagrange multiplier of the jammer comprises the following steps:
wherein the content of the first and second substances,
is an initial value of the iteration step.
And respectively substituting the two updated Lagrange multipliers into power expressions of the unmanned aerial vehicle user and the jammer, and obtaining the optimal power of the unmanned aerial vehicle user and the jammer after multiple iterations to converge, wherein if the interference power of the jammer under an overlapping channel is lower than 20W at the moment, the action of switching to the overlapping channel is considered to fail.
Acquiring an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a primary screening overlapped channel allocation scheme meeting preset requirements; specifically, the unmanned aerial vehicle user and the jammer are switched to different overlapping channels each time, all the unmanned aerial vehicle users and the jammer can reach power convergence, the power value fluctuation is not determined, an actual scene is considered, in order to ensure that the jammer has a certain interference effect (the jammer has a certain interference effect in an actual situation), the interference power convergence value of which the interference power convergence value is not lower than a preset power threshold value is screened, the corresponding overlapping channel allocation scheme is a preliminary screening overlapping channel allocation scheme, and the preset power threshold value is 20W in the embodiment.
Calculating communication utility values of the unmanned aerial vehicle users when using the primary screening overlapping channel allocation schemes; optimal power of unmanned aerial vehicle user and jammer under current overlapping channelPi、JInto respective utility functionsU i 、VAnd calculating the communication utility value of the unmanned aerial vehicle user and the jammer in the current overlapped channel.
And screening out a maximum value from the communication utility values of the unmanned aerial vehicle users in each preliminary screening overlapping channel allocation scheme, wherein the preliminary screening overlapping channel allocation scheme corresponding to the maximum value is an optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle users corresponding to the optimal overlapping channel allocation scheme is a final optimization result.
Example 2
As shown in fig. 14, a method for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels according to an embodiment of the present invention includes:
the overlapping channel allocation scheme of the drone user is designed in advance, and in this embodiment, the drone user is switched to an adjacent 2 channel/3 channel/4 channel.
Acquiring an overlapped channel allocation scheme, acquiring an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a preliminary screening overlapped channel allocation scheme meeting preset requirements;
calculating the optimal transmission power and communication utility value of each primary screening overlapping channel allocation scheme when the unmanned aerial vehicle user uses the primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result.
Further comprising: the method comprises the steps of constructing an anti-interference model of the multi-unmanned aerial vehicle communication network shown in fig. 3, wherein the anti-interference model of the multi-unmanned aerial vehicle communication network comprises 3 unmanned aerial vehicle users and 1 jammer, 7 nodes are arranged in an area in fig. 3, 6 nodes represent the 3 unmanned aerial vehicle users, namely each unmanned aerial vehicle user comprises a transmitter and a receiver, and the rest nodes are jammers.
In order to verify the validity of the scheme of the invention, a simulation experiment is carried out.
Channel bandwidthBAt 6MHz, the channel noise power (Gaussian white noise)N 0 Is-180dBmChannel gainα 1=6.9×10-4、α 2=7.2×10-4、α 3=8.3×10-4Unmanned aerial vehicle transmission costE 1 、E 2 、E 3 Are respectively 0.46 multiplied by 106、0.58×106、0.6×106Interference gainβ=6.6×10-5Co-frequency mutual interference coefficient of unmanned aerial vehicleθ 1 、θ 2 、θ 3 Are respectively 3.6 multiplied by 10-5、4.7×10-5、5.6×10-5Interference machine transmission costC=0.64×106Channel switching costξ、
Are respectively 0.2 multiplied by 106、0.4×106Seeking channel loss energyM、NAre respectively 0.12X 105、0.24×105。
Fig. 4, fig. 5, fig. 6 and fig. 7 show the optimal transmission power of the drone user and the jammer in different overlapping channel situations, where the jammer optimal interference power in overlapping 3 and 4 channels is lower than 20W, so the process is considered to be failed, i.e. the co-channel scenario and the 2-channel scenario meet our requirements; the overlapping channels in the figure refer to the channel positions where user 1 and the jammer are located.
Comparing fig. 4, fig. 5, fig. 6 and fig. 7, it can be found that when user 1 and the jammer are in the overlapping channel, the convergence power value of the jammer is decreased compared to the co-channel scenario, and the convergence power value of 3 drone users is improved compared to the co-channel scenario, which shows that the idea of using the characteristics of the overlapping channel to reduce interference is verified.
Fig. 8 and fig. 9 show channel allocation schemes according to the optimal communication power of the user of the drone and the jammer, that is, a co-channel scenario and a 2-channel scenario meet our requirements.
Fig. 10 is a transmission power convergence curve diagram of 2 users under an overlapping 2 channel according to an embodiment of the present invention, and fig. 11 is a transmission power convergence curve diagram of 3 users under an overlapping 2 channel according to an embodiment of the present invention; the power convergence conditions of 2 users and 3 users in the scene of overlapping 2 channels are designed, as shown in fig. 10 and fig. 11, by comparing the transmission power convergence curves of 2 users and 3 users in the overlapping 2 channels, it can be found that more iterations are needed for the 3 users in the overlapping 2 channels to reach the transmission power convergence, and the countermeasures of the jammer and the unmanned aerial vehicle users are more intense.
In addition, it can be also found in fig. 10 and fig. 11 that, after 1 drone user is added in a scene overlapping 2 channels and 2 users, the convergence power value of the jammer is relatively decreased, and the convergence power value of the drone user is relatively increased; thus, it can be concluded that: in many unmanned aerial vehicle communication network, along with the increase of unmanned aerial vehicle user quantity, many unmanned aerial vehicle communication network's interference killing feature is stronger.
Figures 12 and 13 show graphs of the change in utility values of the user and jammer on the co-channel and the overlapping channel; as can be seen from the figure, the utility value of the user is relatively increased in the overlapping channel scenario and the utility value of the jammer is relatively decreased in the overlapping channel scenario compared with the co-channel scenario; thus, it can be concluded that: the utility value of communication of unmanned aerial vehicle user can be improved to the channel that utilizes overlapping, optimizes many unmanned aerial vehicle communication network performance.
Example 3
The transmission power optimization system in unmanned aerial vehicle communication based on the overlapped channel provided by the embodiment of the invention comprises:
channel prescreening module: the method comprises the steps of obtaining an overlapped channel allocation scheme, obtaining an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a primary screening overlapped channel allocation scheme meeting preset requirements;
a power optimization module: the method is used for calculating the optimal transmission power and the communication utility value of each primary screening overlapping channel allocation scheme when the unmanned aerial vehicle user uses the scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result.
The method also comprises a model construction module: for constructing a packagenUnmanned aerial vehicle communication network anti-interference model of individual unmanned aerial vehicle user and 1 interference machine.
The channel primary screening module comprises a screening unit for screening out an interference power convergence value of which the interference power convergence value is not lower than a preset power threshold, and the corresponding overlapping channel allocation scheme is a primary screening overlapping channel allocation scheme.
The power optimization module comprises a first calculation unit, a second calculation unit and a power optimization unit, wherein the first calculation unit is used for calculating the optimal transmission power of the unmanned aerial vehicle user when the unmanned aerial vehicle user uses each primary screening overlapping channel allocation scheme through the following formula;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
indicates that there is noMan-machine useriThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,λ i the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermInterference factors of the overlapping degree of the two channels;
the updating method of the Lagrange multiplier comprises the following steps:
wherein the content of the first and second substances,
for the initial value of the iteration step size,P M representing the maximum transmission power of the user of the drone,kthe number of iterations is indicated and,P n representing unmanned aerial vehicle usersnThe transmission power of (1).
The power optimization module comprises a second calculation unit, a second calculation unit and a second calculation unit, wherein the second calculation unit is used for calculating communication utility values of the unmanned aerial vehicle users when using the primary screening overlapping channel allocation schemes;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
Claims (6)
1. A method for optimizing transmission power in unmanned aerial vehicle communication based on an overlapped channel is characterized by comprising the following steps:
acquiring an overlapped channel allocation scheme, acquiring an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a preliminary screening overlapped channel allocation scheme meeting preset requirements;
calculating the optimal transmission power and communication utility value of each primary screening overlapping channel allocation scheme when the unmanned aerial vehicle user uses the primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result;
the optimal transmission power of the unmanned aerial vehicle user when using each preliminary screening overlapping channel allocation scheme is calculated by the following method:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,λ i the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermInterference of overlapping degree of two channelsA factor; the updating method of the Lagrange multiplier comprises the following steps:
wherein the content of the first and second substances,
for the initial value of the iteration step size,P M representing the maximum transmission power of the user of the drone,kthe number of iterations is indicated and,P n representing unmanned aerial vehicle usersnThe transmission power of (a);
the communication utility value of the unmanned aerial vehicle user when using each preliminary screening overlapping channel allocation scheme is calculated through a pre-designed utility function:
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
2. The method for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels according to claim 1, further comprising the step of constructing an anti-interference model of the multi-unmanned aerial vehicle communication network: constructing a structure comprisingnUnmanned aerial vehicle communication network anti-interference model of individual unmanned aerial vehicle user and 1 interference machine.
3. The method for optimizing transmission power in unmanned aerial vehicle communication based on overlapping channels according to claim 1, wherein the preliminary screening overlapping channel allocation scheme is obtained by: and screening out the interference power convergence value of which the interference power convergence value is not lower than a preset power threshold value, wherein the corresponding overlapping channel allocation scheme is a primary screening overlapping channel allocation scheme.
4. Transmission power optimization system in unmanned aerial vehicle communication based on overlapping channel, its characterized in that includes:
channel prescreening module: the method comprises the steps of obtaining an overlapped channel allocation scheme, obtaining an interference power convergence value of an interference machine when an unmanned aerial vehicle user uses each overlapped channel allocation scheme, and screening the interference power convergence value of the interference machine to obtain a primary screening overlapped channel allocation scheme meeting preset requirements;
a power optimization module: the method is used for calculating the optimal transmission power and communication utility value of the unmanned aerial vehicle user when using each primary screening overlapping channel allocation scheme, and screening out the maximum value from the communication utility values of the unmanned aerial vehicle user in each primary screening overlapping channel allocation scheme, wherein the primary screening overlapping channel allocation scheme corresponding to the maximum value is the optimal overlapping channel allocation scheme, and the optimal transmission power of the unmanned aerial vehicle user corresponding to the optimal overlapping channel allocation scheme is the final optimization result;
the power optimization module comprises a first calculation unit, a second calculation unit and a power optimization unit, wherein the first calculation unit is used for calculating the optimal transmission power of the unmanned aerial vehicle user when the unmanned aerial vehicle user uses each primary screening overlapping channel allocation scheme through the following formula;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,
the lagrange multiplier is represented by a number of lagrange multipliers,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,
representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermBoth channels overlapInterference factors of degree;
the updating method of the Lagrange multiplier comprises the following steps:
wherein the content of the first and second substances,
for the initial value of the iteration step size,P M representing the maximum transmission power of the user of the drone,kthe number of iterations is indicated and,P n representing unmanned aerial vehicle usersnThe transmission power of (a);
the power optimization module comprises a second calculation unit, a second calculation unit and a second calculation unit, wherein the second calculation unit is used for calculating communication utility values of the unmanned aerial vehicle users when using the primary screening overlapping channel allocation schemes;
wherein the content of the first and second substances,Bwhich represents the bandwidth of the channel and,E i and
representing unmanned aerial vehicle usersiThe transmission cost of (a) and the handover channel cost,d i representing unmanned aerial vehicle usersiThe interval after switching the channel from the previous channel,N 0which is indicative of the power of the channel noise,α i representing the channel gain of the drone user transmitter to receiver,βrepresenting the interference gain of the jammer to the receiver of the drone user,Jwhich represents the interference power of the jammer,P m representing unmanned aerial vehicle usersmThe transmission power of the transmission,P i representing unmanned aerial vehicle usersiThe transmission power of the transmission,θ m representing unmanned aerial vehicle usersmTo unmanned aerial vehicle useriThe co-channel mutual interference coefficient of the receiver of (1),
representing unmanned aerial vehicle usersiAnd the degree of channel overlap of the jammers,
representing unmanned aerial vehicle usersiAnd unmanned aerial vehicle usermThe interference factor of the degree of overlapping of the two channels,Nrepresenting unmanned aerial vehicle usersiThe energy consumed by the adjacent channel is sought.
5. The system of claim 4, further comprising a model building module that: for constructing a packagenUnmanned aerial vehicle communication network anti-interference model of individual unmanned aerial vehicle user and 1 interference machine.
6. The system of claim 4, wherein the channel prescreening module comprises a screening unit configured to screen interference power convergence values with interference power convergence values not lower than a preset power threshold, and the corresponding overlapping channel allocation scheme is a prescreened overlapping channel allocation scheme.
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