CN108650008B - Communication method and device based on cognitive network - Google Patents
Communication method and device based on cognitive network Download PDFInfo
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- CN108650008B CN108650008B CN201810473853.5A CN201810473853A CN108650008B CN 108650008 B CN108650008 B CN 108650008B CN 201810473853 A CN201810473853 A CN 201810473853A CN 108650008 B CN108650008 B CN 108650008B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/155—Ground-based stations
- H04B7/15528—Control of operation parameters of a relay station to exploit the physical medium
- H04B7/1555—Selecting relay station antenna mode, e.g. selecting omnidirectional -, directional beams, selecting polarizations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/155—Ground-based stations
- H04B7/15564—Relay station antennae loop interference reduction
- H04B7/15585—Relay station antennae loop interference reduction by interference cancellation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04K—SECRET COMMUNICATION; JAMMING OF COMMUNICATION
- H04K3/00—Jamming of communication; Counter-measures
- H04K3/60—Jamming involving special techniques
- H04K3/62—Jamming involving special techniques by exposing communication, processing or storing systems to electromagnetic wave radiation, e.g. causing disturbance, disruption or damage of electronic circuits, or causing external injection of faults in the information
Abstract
The embodiment of the invention provides a communication method and equipment based on a cognitive network, wherein the communication method comprises the following steps: on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information; based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information; and sending the optimal information to a primary receiver and a secondary receiver to complete the communication based on the cognitive network. According to the cognitive network-based communication method and the cognitive network-based communication equipment provided by the embodiment of the invention, the transmission information is processed by setting the communication transmission process, adopting the physical layer security technology and the wireless energy carrying technology and obtaining the optimal information by solving the optimal relay processing matrix and the optimal beam forming vector obtained by the secret rate objective function, so that the cognitive network-based communication method in the embodiment of the invention has higher safety.
Description
Technical Field
The embodiment of the invention relates to the field of cognitive network communication, in particular to a communication method and equipment based on a cognitive network.
Background
Wireless communication networks are undergoing rapid revolution and vigorous development, human life and social production are increasingly deeply influenced by wireless communication technologies, and various new wireless network technologies are continuously introduced to meet the continuously increasing and diversified communication service demands. With the rapid increase of mobile data traffic and the rapid development of the internet of things technology, a new generation of 5G concept of mobile communication technology with the characteristics of low cost, low energy consumption, safety, reliability and the like is also proposed. With the continuous development of wireless communication technology, the key point of wireless services is turning to broadband and low-delay services such as high-definition video and interactive services, and future communication will be composed of enhanced traditional services and some emerging services, such as 4K/8K video, an immersive display mode (virtual reality VR/augmented reality AR service), intelligent driving, intelligent manufacturing, mobile medical treatment, unmanned aerial vehicle remote control and the like. While spectrum shortage has become a serious impediment to high performance data services, the contradiction between the ever-increasing demand for wireless communication and the limited spectrum resources has become increasingly prominent. Cognitive radio has been recognized as one of the most effective solutions to improve the spectral efficiency of wireless networks. In addition, cooperative transmission between a primary user and a secondary user in a cognitive network draws more attention. In the cooperative cognitive network, the secondary user assists in relaying the received primary user message, and the primary user allows the secondary user to send the message of the secondary user on the frequency spectrum in return, which is a win-win strategy.
Moreover, the continuous expansion of the scale of the wireless communication network and the randomization of the site selection of the networking equipment lead to the rapid rise of the energy consumption of the whole network and the increase of the energy supply difficulty of the wireless equipment. In particular, a large number of randomly distributed wireless communication devices (such as sensors, intelligent terminals and the like) are powered by batteries with limited capacity, which greatly increases the maintenance cost of the wireless communication network and also limits the life cycle of the wireless communication network. The energy collection technology using radio signals as energy sources can receive radio electromagnetic wave signals through the antenna and convert the radio electromagnetic wave signals into electric energy for utilization, and is considered as an effective method for prolonging the life cycle of a wireless network. On the other hand, the electromagnetic wave signals can carry information and energy at the same time, which makes wireless energy-carrying communication technology supporting the simultaneous transmission of wireless information and energy a focus of research.
On the other hand, security has been a major issue in wireless networks due to the broadcast nature of wireless communications. Traditional encryption is based on cryptography and adopts an encryption algorithm to encrypt the information, and only a communication entity with knowledge of a decryption key can decode and recover the information plaintext. However, the performance of the upper layer encryption means in a novel network such as a cognitive radio network is affected to a certain extent, for example, in the cognitive network, a secondary user can dynamically join or leave the secondary user network, so that key management is severely limited, and in the dynamic process of accessing to the primary user spectrum, the quality of a wireless channel is difficult to guarantee, and the situation of relatively poor signal-to-noise ratio in the communication process may occur, which is not favorable for key transmission of an information receiving and sending party.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a communication method and equipment based on a cognitive network.
The embodiment of the invention provides a communication method based on a cognitive network, which comprises the following steps: on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information; based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information; and sending the optimal information to a primary receiver and a secondary receiver to complete the communication based on the cognitive network.
The embodiment of the invention provides a communication device based on a cognitive network, which comprises: the system comprises a processor, a communication interface, a memory and a bus, wherein the processor, the communication interface and the memory are communicated with each other through the bus, and the processor can call logic instructions in the memory to execute the communication method.
An embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to execute the above-described communication method.
The embodiment of the invention provides a communication method based on a cognitive network, which comprises the following steps: sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes master user information sent by a primary transmitter and interference information sent by a primary receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beamforming vector, and the secondary transmitter sends the optimal information to a secondary receiver; and receiving the optimal information sent by the secondary transmitter to complete the communication based on the cognitive network.
The embodiment of the invention provides a communication device based on a cognitive network, which comprises: the system comprises a processor, a communication interface, a memory and a bus, wherein the processor, the communication interface and the memory are communicated with each other through the bus, and the processor can call logic instructions in the memory to execute the communication method.
An embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to execute the above-described communication method.
According to the cognitive network-based communication method and the cognitive network-based communication equipment provided by the embodiment of the invention, the transmission information is processed by setting the communication transmission process, adopting the physical layer security technology and the wireless energy carrying technology and obtaining the optimal information by solving the optimal relay processing matrix and the optimal beam forming vector obtained by the secret rate objective function, so that the cognitive network-based communication method in the embodiment of the invention has higher safety.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of a secondary transmitter-side embodiment of a cognitive network-based communication method according to the present invention;
fig. 2 is a diagram of a communication transmission model based on a cognitive network according to an embodiment of the present invention;
FIG. 3 is a graph of primary user privacy rate versus primary transmitter transmit power in an embodiment of the present invention;
FIG. 4 is a block diagram of an embodiment of a secondary transmitter of the cognitive network based communication system according to the present invention;
fig. 5 is a schematic structural diagram of a secondary transmitter of a cognitive network-based communication device according to an embodiment of the present invention;
FIG. 6 is a flowchart of a host-receiver embodiment of the cognitive network based communication method of the present invention;
FIG. 7 is a diagram illustrating a comparison of destination assisted and non-destination assisted secure communications in an embodiment of the present invention;
FIG. 8 is a block diagram of an embodiment of a host receiver of the cognitive network based communication system according to the present invention;
fig. 9 is a schematic structural diagram of a host receiver of a cognitive network-based communication device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention is based on a cognitive network comprising a main transmitter, a main receiver, a secondary transmitter, a secondary receiver and an eavesdropper.
Fig. 1 is a flowchart of a secondary transmitter end embodiment of a communication method based on a cognitive network according to the present invention, as shown in fig. 1, including: s101, based on the optimal relay processing matrix, superposing master user information sent by a master transmitter and interference information sent by a master receiver into relay processing information; s102, based on the optimal beam forming vector, the relay processing information and the secondary user information are superposed into optimal information; s103, sending the optimal information to a primary receiver and a secondary receiver to complete communication based on the cognitive network.
Specifically, the execution subject of the present embodiment is the secondary transmitter.
Further, the primary transmitter may transmit primary user information to the remaining subjects, and likewise, the secondary transmitter may transmit secondary user information to the remaining subjects.
First, before the method of the embodiment is executed, the method further includes the following steps to formulate a cognitive network-based communication flow provided by the embodiment of the invention:
in the first step, the primary transmitter transmits primary user information to the secondary transmitter and the eavesdropper, respectively, and the primary receiver transmits interference information to the eavesdropper and the secondary transmitter, respectively. It should be noted that the primary user information sent by the primary transmitter to the eavesdropper is passive.
Here, the signal-to-noise ratio of the legal information obtained by the eavesdropper is as follows:
wherein, PS，PDPower of signals transmitted by main transmitter and main receiver, hSE，
Channel coefficients of the main transmitter and the main receiver to the eavesdropper, respectively.
And secondly, the secondary transmitter relays a main user signal to the primary receiver by adopting an amplification forwarding protocol and simultaneously transmits secondary user information to the secondary receiver.
Here, the secondary transmitter sends a signal:
wherein, F and w are respectively a relay processing matrix and a beam forming vector; h isSRAnd
the channel vectors from the primary transmitter to the secondary transmitter and from the primary receiver to the secondary transmitter respectively.
Since the main receiving end knows the interference signal sent in the first step, the interference can be eliminated after receiving the signal forwarded by the secondary transmitter, and the signal-to-noise ratios of the signals received by the main user, the secondary user and the eavesdropper in the second step are respectively as follows:
wherein the content of the first and second substances,
hRD2、hRErespectively, the channel vectors between the secondary transmitter to the primary receiver, the secondary receiver and the eavesdropper.
It should be noted that fig. 2 is a communication transmission model diagram based on the cognitive network in the embodiment of the present invention, and the upper transmission steps, i.e., the first step and the second step, please refer to the content of fig. 2.
In FIG. 2, S is the primary transmitter, R is the secondary transmitter, E is the eavesdropper, D1Is a primary receiver, D2Is the secondary receiver, PS is the power splitter, ID is the information decoding, EH is the energy harvesting, x1Is primary user information, x2Is the secondary user information, xDIs interference information, and other h symbols are channel information between different nodes.
Further, in step S103, when the optimal information is sent to the primary receiver, the primary receiver may extract the relevant information of the primary user from the optimal information; when the optimal information is sent to the secondary receiver, the secondary receiver will extract the relevant information of the secondary user from the optimal information.
According to the cognitive network-based communication method provided by the embodiment of the invention, the communication transmission process is set, the physical layer security technology and the wireless energy carrying technology are adopted, the sent information is processed through the optimal relay processing matrix and the optimal beam forming vector which are obtained based on the objective function of solving the secret rate, and the optimal information is obtained, so that the cognitive network-based communication method provided by the embodiment of the invention has higher safety.
Based on the above embodiment, the superimposing, based on the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver into the relay processing information specifically includes: dividing master user information sent by the master transmitter and interference information sent by the master receiver into information decoding power and energy collecting power based on the optimal power division ratio obtained by solving the secret rate objective function; and acquiring the relay processing information according to the information decoding power and the energy collecting power based on the optimal relay processing matrix.
Specifically, the execution subject of the present embodiment is the secondary transmitter. The embodiment performs power splitting operation, and can realize wireless energy-carrying transmission.
The signal received by the secondary transmitter enters the energy collection and information decoding submodule, and the energy collected by the secondary transmitter is expressed by a formula as follows:
where 0 < η < 1 is the energy conversion efficiency and ρ is the power split ratio.
According to the cognitive network-based communication method provided by the embodiment of the invention, in order to protect legal user information and optimize the communication performance of the whole network, the information of a main user and secondary users is respectively multiplied by a relay processing matrix and a beam forming vector for processing.
Based on the above embodiment, the superimposing, based on the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver into the relay processing information, and the method further includes: and solving a secret rate objective function to obtain optimal factor data, wherein the optimal factor data comprises an optimal power split ratio, the optimal relay processing matrix and the optimal beamforming vector.
Based on the above embodiment, the secret rate objective function is:
wherein the content of the first and second substances,
is the signal-to-noise ratio of the primary receiver,
for the signal-to-noise ratio of the secondary receiver,
for the signal-to-noise ratio received by the eavesdropper when superimposed into optimal information,
for the signal-to-noise ratio, P, received by an eavesdropper when transmitting optimum informationR(F, w, p) is the transmission power of the secondary transmitter,
the energy collected for the secondary transmitter, i.e. the upper limit of the transmission power of the secondary transmitter, ρ is the optimal power split ratio, F is the optimal relay processing matrix, and w is the optimal beamforming vector.
Based on the above embodiment, the solving the secret rate objective function to obtain optimal factor data, where the optimal factor data includes an optimal power split ratio, the optimal relay processing matrix, and the optimal beamforming vector, specifically includes: acquiring an intermediate relay processing matrix and an intermediate beamforming vector based on a power split ratio and signal-to-noise ratio constraint, acquiring an intermediate power split ratio based on the signal-to-noise ratio constraint, and acquiring an intermediate signal-to-noise ratio constraint; and circularly executing the previous step until the secret rate target function is converged, and acquiring a middle power split ratio, a middle relay processing matrix and a middle beam forming vector in the converged secret rate target function as the optimal power split ratio, the optimal relay processing matrix and the optimal beam forming vector.
Specifically, the present embodiment is an embodiment of solving the secret rate objective function.
Specifically, the process of solving the secret rate objective function of the present embodiment is explained below in a specific embodiment.
Fig. 3 is a graph of primary user secret rate versus transmission power of a primary transmitter according to an embodiment of the present invention, and please refer to fig. 3.
Because the primary user can complete communication only by assistance of the secondary user and the secondary user is required to guarantee the information security of the primary user, in order to stimulate the secondary user to participate in cooperation, the primary user answers the secondary user to access the frequency spectrum of the secondary user and guarantees the reasonable minimum rate requirement of the secondary user, the primary user is used as a return secondary user to help the primary user to relay information to a receiver, meanwhile, the information security of the primary user is guaranteed, and the privacy rate of the primary user is maximized.
The privacy rate of the primary user is formulated as:
the communication rate of the secondary user is formulated as:
meanwhile, the power split ratio and the secondary transmitter transmit power need to satisfy the following constraints:
1)0≤ρ≤1
2)
the overall privacy rate objective function is as follows:
wherein the content of the first and second substances,
is the signal-to-noise ratio of the primary receiver,
for the signal-to-noise ratio of the secondary receiver,
for the signal-to-noise ratio received by the eavesdropper when superimposed into optimal information,
for the signal-to-noise ratio, P, received by an eavesdropper when transmitting optimum informationR(F, w, p) is the transmission power of the secondary transmitter,
for the energy collected by the secondary transmitter, rho is the optimal power split ratio, F is the optimal relay processing matrix, and w is the optimal beamforming vector.
Since the above objective function is a complex non-convex problem, the problem P1 needs to be transformed.
First, the present embodiment proposes a general two-stage process to solve the problem (P1). From
As can be seen from the expression of (a),
can be regarded as a constant, so the main consideration is
There is always a signal-to-noise ratio constraint y at the eavesdropping endeThe following problems P2 are the same as P1:
wherein the content of the first and second substances,
is the minimum signal-to-noise ratio requirement for the secondary user.
For any given one gammae> 0, let g (gamma)e) Indicating the optimum value of P2. Then P1 has the same optimal solution as the following problem P3:
let
Represents the optimal solution of the problem P2, and can be known from the above results
When P1 and P2 have the same optimum value. That is, P1 can be solved by the following two steps: solving for optimal solutions through P3
By giving arbitrary gamma at the same timeeG (. gamma.) can be obtained by solving P2e)。
Next, the optimal F and w are first solved by fixing the power split ratio ρ. To solve the problem efficiently, equations are utilized
And
to rewrite P2 to P4:
wherein: f ═ vec (f),
p4 is still non-convex, so this embodiment uses SDR techniques to solve the problem P4. Definitions
W＝wwHThen the problem P4 can relax to P4-SDR:
P4-SDR:
problem P4 is a linear-pseudoconvex problem defined by using the Charnes-Cooper transformation
And
P4-SDR can be rewritten as P5:
p5 is a convex SDP problem that can be effectively solved.
It is noteworthy that the problem P5 belongs to the "separate SDP" problem. The optimal solution to problem P5 is always satisfied
Where 4 is the number of constraints. Consider the non-special case
Is provided with
And
the SDR problem is compact and the optimal f of P4 can be obtained*And w*。
The problem P2 for fixed power split ratios has been solved to date. Next, the present embodiment will find the optimum power split ratio ρ.
Let λ be1、λ2、λ3、λ4Corresponding to the lagrangian factors constrained by problem P5, respectively, the lagrangian function of P5 can be expressed as:
wherein the content of the first and second substances,
the lagrange dual function is expressed as:
since the problem P5 is convex, satisfying the relaxation condition has a strong duality. Therefore, the temperature of the molten metal is controlled,
when gamma iseAt the time of fixation, through g1(ρ,γe) The optimal p:
wherein the content of the first and second substances,
obtaining the above-mentioned value at a given gammaeThe obtained optimal rho*Can pass through
Derivation to obtain optimum gammae。
From the above, it can be seen that the problem P1 can be solved by three steps: 1) given ρ and γeSolving problem P5 yields g1(ρ,γe) (ii) a 2) Given gammaeThrough g1(ρ,γe) Derivative solution to optimal ρ*(ii) a 3) Through g1(ρ*,γe) And G (gamma)e) Solving for optimal gammae. And repeating the three steps until the problem converges.
And finally, performing performance analysis on the communication method corresponding to the obtained optimal solution.
It should be noted that this embodiment can be summarized into three units, which are a target construction unit, a problem solving unit, and a performance analysis unit, where the problem solving unit includes a beamforming design subunit, a power split ratio solving subunit, and a conversion factor solving subunit.
And the target construction unit obtains the communication rates of the primary user and the secondary user through the processes and constructs a secret rate target function.
Specifically, firstly, the signal-to-noise ratio of each user is obtained through information communication and energy collection:
obtaining the rate of a primary user and a secondary user:
the overall objective function is thus obtained as follows:
and the problem solving unit is used for converting the constructed complex objective function into a solvable objective function and comprises a beam forming design subunit, a power split ratio solving subunit and a conversion factor solving subunit, wherein the three subunits are used for solving the problem.
Specifically, the problem is decomposed into two parts, P2 and P3, by introducing a conversion factor, and then the conversion is performed, and the problem P3 is converted into two parts for solving the optimal beamforming and power split ratio, so that:
a beam forming design subunit:
power split ratio solving subunit:
conversion factor solving subunit:
and the performance analysis unit is used for analyzing the safety communication performance of the system.
As a preferred embodiment, fig. 4 is a block diagram of a secondary transmitter end of a communication system based on a cognitive network according to an embodiment of the present invention, as shown in fig. 4, including: a relay processing acquisition module 401, configured to superimpose, based on the optimal relay processing matrix, master user information sent by the master transmitter and interference information sent by the master receiver into relay processing information; an optimal obtaining module 402, configured to superimpose the relay processing information and the secondary user information into optimal information based on an optimal beamforming vector; a communication completion module 403, configured to send the optimal information to the primary receiver and the secondary receiver, so as to complete communication based on the cognitive network.
It should be noted that, the relay processing obtaining module 401, the optimal obtaining module 402, and the communication completing module 403 cooperate to execute a communication method based on the cognitive network in the foregoing embodiment, and specific functions of the system refer to the foregoing embodiment of the communication method, which is not described herein again.
As a preferred embodiment, fig. 5 is a schematic structural diagram of a secondary transmitter end of a communication device based on a cognitive network in an embodiment of the present invention, and as shown in fig. 5, the device includes: a processor (processor)501, a communication Interface (Communications Interface)502, a memory (memory)503, and a bus 504, wherein the processor 501, the communication Interface 502, and the memory 503 are configured to communicate with each other via the bus 504. The processor 501 may call logic instructions in the memory 503 to perform the following method: on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information; based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information; and sending the optimal information to a primary receiver and a secondary receiver to complete the communication based on the cognitive network.
As a preferred embodiment, the present invention discloses a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, including: on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information; based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information; and sending the optimal information to a primary receiver and a secondary receiver to complete the communication based on the cognitive network.
As a preferred embodiment, the present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information; based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information; and sending the optimal information to a primary receiver and a secondary receiver to complete the communication based on the cognitive network.
Based on the above embodiments, fig. 6 is a flowchart of an embodiment of a host receiver end of a cognitive network-based communication method according to the present invention, as shown in fig. 6, including: s601, sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes main user information sent by a main transmitter and the interference information sent by a main receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beam forming vector, and sends the optimal information to a secondary receiver; s602, receiving the optimal information sent by the secondary transmitter, and completing communication based on the cognitive network.
Note that the execution subject of the present embodiment is a master receiver.
That is, the present embodiment can be described by the following steps:
firstly, the primary receiver sends interference information to the secondary transmitter and an eavesdropper, so that the secondary transmitter superposes the primary user information sent by the primary transmitter and the interference information sent by the primary receiver into relay processing information based on the optimal relay processing matrix.
And secondly, the secondary transmitter superposes the relay processing information and the secondary user information into optimal information based on the optimal beamforming vector.
And thirdly, the secondary transmitter transmits the optimal information to the primary receiver and the secondary receiver.
And finally, the primary receiver receives the optimal information sent by the secondary transmitter, and the secondary receiver also receives the optimal information sent by the secondary transmitter, so as to complete the communication based on the cognitive network.
Fig. 7 is a comparison diagram of destination assisted and non-destination assisted secure communications in an embodiment of the present invention, and please refer to fig. 7 in this embodiment.
According to the cognitive network-based communication method provided by the embodiment of the invention, the quality of an eavesdropping channel is reduced by setting the transmission interference of the main receiver, and a mode of auxiliary interference of a destination terminal can be introduced to ensure the safe communication of a user.
As a preferred embodiment, fig. 8 is a block diagram of a host receiver end embodiment of a cognitive network-based communication system according to the present invention, as shown in fig. 8, including: an interference sending module 801, configured to send interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superimposes, based on an optimal relay processing matrix, primary user information sent by a primary transmitter and the interference information sent by a primary receiver to form relay processing information, and the secondary transmitter superimposes, based on an optimal beamforming vector, the relay processing information and secondary user information to form optimal information, and the secondary transmitter sends the optimal information to a secondary receiver; a receiving completion module 802, configured to receive the optimal information sent by the secondary transmitter, and complete communication based on a cognitive network.
It should be noted that, the interference sending module 801 and the receiving completion module 802 cooperate to execute a communication method based on the cognitive network in the foregoing embodiment, and specific functions of the system refer to the foregoing embodiment of the communication method, which is not described herein again.
As a preferred embodiment, fig. 9 is a schematic structural diagram of a host receiver end of a communication device based on a cognitive network in an embodiment of the present invention, and as shown in fig. 9, the device includes: a processor (processor)901, a communication Interface (Communications Interface)902, a memory (memory)903 and a bus 904, wherein the processor 901, the communication Interface 902 and the memory 903 are communicated with each other via the bus 904. The processor 901 may call logic instructions in the memory 903 to perform the following method: sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes master user information sent by a primary transmitter and interference information sent by a primary receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beamforming vector, and the secondary transmitter sends the optimal information to a secondary receiver; and receiving the optimal information sent by the secondary transmitter to complete the communication based on the cognitive network.
As a preferred embodiment, the present invention discloses a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, including: sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes master user information sent by a primary transmitter and interference information sent by a primary receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beamforming vector, and the secondary transmitter sends the optimal information to a secondary receiver; and receiving the optimal information sent by the secondary transmitter to complete the communication based on the cognitive network.
As a preferred embodiment, the present embodiment provides a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes master user information sent by a primary transmitter and interference information sent by a primary receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beamforming vector, and the secondary transmitter sends the optimal information to a secondary receiver; and receiving the optimal information sent by the secondary transmitter to complete the communication based on the cognitive network.
The embodiment of the invention aims at the cognitive network, and comprehensively adopts energy-carrying transmission and physical layer security technology to construct a destination-assisted wireless energy-carrying secure communication transmission method in the cognitive network.
In order to better promote the cooperation of a primary user network and a secondary user network, the embodiment of the invention designs a safety transmission architecture based on physical layer safety and wireless energy carrying, which comprises a user transmission module, an energy carrying transmission module, a destination auxiliary module and a safety communication guarantee module, wherein:
the user transmission module establishes a link transmission set between the main transmitter and the secondary transmitter, between the main transmitter and an eavesdropper, between the secondary transmitter and the main receiver and between the secondary transmitter and the secondary receiver.
The energy carrying transmission module comprises an energy collection sub-module and an information decoding sub-module. In order to realize the simultaneous transmission of information and energy, a power splitting receiver structure is adopted, namely, signals received by a receiver are respectively transmitted into an information decoding submodule and an energy collecting submodule according to power splitting ratios rho and 1-rho. And the energy collected by the energy collection submodule will be used for the next stage of information transmission.
The destination auxiliary module mainly transmits friendly interference signals to interfere an eavesdropper in the first stage of communication, so that the quality of an eavesdropping channel is reduced, the safe communication of users in the network is assisted, and the information of legal users is prevented from being leaked.
The safety communication guarantee module comprises a target construction unit, a problem solving unit and a performance analysis unit.
The embodiment of the invention aims at the cognitive network with limited energy of the secondary user, and the energy is collected through the radio frequency signal to charge the secondary user and simultaneously the collected energy is utilized to carry out information transmission, thereby realizing the normal communication of the whole network. Furthermore, a mode of auxiliary interference of a destination end is introduced, and the safe communication of the user is guaranteed.
The embodiment of the invention aims to stimulate the secondary users to join in cooperation and guarantee the reasonable and minimum communication requirements of the secondary users. In the whole cognitive cooperative communication network, the safety communication of a master user is also guaranteed, and the confidentiality performance of the master user network is pursued to be maximized. Therefore, the communication performance of the primary user network and the secondary user network is optimized, and meanwhile, the problems of energy collection, power consumption and the like in the whole working process are considered.
And adding the channel information extracted by the user transmission module into a basic safe communication system, thereby respectively designing a relay processing matrix and a beam forming vector of the information of the master user and the secondary user to ensure the safe communication performance of the whole cognitive network.
According to the cognitive network-based communication method and the cognitive network-based communication equipment, the communication transmission process is set, and a physical layer security technology is adopted. The sending information is processed through the optimal relay processing matrix and the optimal beam forming vector which are obtained based on solving the secret rate objective function, so that the communication method based on the cognitive network in the embodiment of the invention has higher safety.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A communication method based on a cognitive network is characterized by comprising the following steps:
on the basis of the optimal relay processing matrix, the master user information sent by the master transmitter and the interference information sent by the master receiver are superposed into relay processing information;
based on the optimal beamforming vector, the relay processing information and the secondary user information are superposed into optimal information;
the optimal information is sent to a primary receiver and a secondary receiver, and communication based on a cognitive network is completed;
the method includes the steps that based on the optimal relay processing matrix, master user information sent by a master transmitter and interference information sent by a master receiver are superposed to form relay processing information, and the method also includes the following steps:
solving a secret rate objective function to obtain optimal factor data, wherein the optimal factor data comprises an optimal power split ratio, an optimal relay processing matrix and an optimal beamforming vector;
the solving of the secret rate objective function obtains optimal factor data, where the optimal factor data includes an optimal power split ratio, the optimal relay processing matrix, and the optimal beamforming vector, and specifically includes:
acquiring an intermediate relay processing matrix and an intermediate beamforming vector based on a power split ratio and signal-to-noise ratio constraint, acquiring an intermediate power split ratio based on the signal-to-noise ratio constraint, and acquiring an intermediate signal-to-noise ratio constraint;
and circularly executing the previous step until the secret rate target function is converged, and acquiring a middle power split ratio, a middle relay processing matrix and a middle beam forming vector in the converged secret rate target function as the optimal power split ratio, the optimal relay processing matrix and the optimal beam forming vector.
2. The communication method according to claim 1, wherein the superimposing, based on the optimal relay processing matrix, the primary user information sent by the primary transmitter and the interference information sent by the primary receiver into the relay processing information specifically includes:
dividing master user information sent by the master transmitter and interference information sent by the master receiver into information decoding power and energy collecting power based on the optimal power division ratio obtained by solving the secret rate objective function;
and acquiring the relay processing information according to the information decoding power and the energy collecting power based on the optimal relay processing matrix.
3. The communication method of claim 1, wherein the secret rate objective function is:
wherein the content of the first and second substances,
is the signal-to-noise ratio of the primary receiver,
for the signal-to-noise ratio of the secondary receiver,
for the signal-to-noise ratio received by the eavesdropper when superimposed into optimal information,
for the signal-to-noise ratio, P, received by an eavesdropper when transmitting optimum informationR(F, w, p) is the transmission power of the secondary transmitter,
for the energy collected by the secondary transmitter, rho is the optimal power split ratio, F is the optimal relay processing matrix, w is the optimal beamforming vector, RminIs the minimum rate requirement.
4. A cognitive network-based communication device, comprising:
the communication device comprises a processor, a communication interface, a memory and a bus, wherein the processor, the communication interface and the memory are communicated with each other through the bus, and the processor can call logic instructions in the memory to execute the communication method according to any one of claims 1 to 3.
5. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the communication method according to any one of claims 1 to 3.
6. A communication method based on a cognitive network is characterized by comprising the following steps:
sending interference information to a secondary transmitter and an eavesdropper, so that the secondary transmitter superposes master user information sent by a primary transmitter and interference information sent by a primary receiver into relay processing information based on an optimal relay processing matrix, and the secondary transmitter superposes the relay processing information and secondary user information into optimal information based on an optimal beamforming vector, and the secondary transmitter sends the optimal information to a secondary receiver;
receiving the optimal information sent by the secondary transmitter to complete communication based on a cognitive network;
the optimal factor data is obtained by solving a secret rate objective function by the secondary transmitter, and comprises an optimal power split ratio, an optimal relay processing matrix and an optimal beamforming vector;
the transmitter acquires an intermediate relay processing matrix and an intermediate beamforming vector based on power split ratio and signal-to-noise ratio constraints, acquires an intermediate power split ratio based on signal-to-noise ratio constraints, and acquires an intermediate signal-to-noise ratio constraint; and circularly executing the previous step until the secret rate objective function is converged, and acquiring the intermediate power split ratio, the intermediate relay processing matrix and the intermediate beam forming vector in the converged secret rate objective function.
7. A cognitive network-based communication device, comprising:
the communication device comprises a processor, a communication interface, a memory and a bus, wherein the processor, the communication interface and the memory are communicated with each other through the bus, and the processor can call logic instructions in the memory to execute the communication method according to claim 6.
8. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the communication method according to claim 6.
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| CN109768815B (en) * | 2019-01-18 | 2020-11-03 | 北京邮电大学 | Non-trust bidirectional relay multi-antenna cooperative communication method, device and storage medium |
| CN109787828B (en) * | 2019-01-18 | 2021-08-31 | 杭州电子科技大学 | Cognitive SWIPT optimal node selection and beam forming combined design method |
| CN111565431B (en) * | 2020-03-26 | 2022-02-15 | 北京邮电大学 | Relay selection method and device of SWIPT cognitive radio network based on neural network |
| CN113541757B (en) * | 2021-07-13 | 2023-05-16 | 北京航空航天大学 | Millimeter wave beam forming-based safe communication method between unmanned aerial vehicle |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104703191A (en) * | 2015-03-26 | 2015-06-10 | 山东大学 | Safety cognitive radio network power distribution method capable of ensuring time delay QoS requirement |
| WO2016195813A2 (en) * | 2015-04-10 | 2016-12-08 | Viasat, Inc. | End-to-end beamforming systems and satellites |
| CN107707290A (en) * | 2017-10-11 | 2018-02-16 | 中山大学新华学院 | Based on two-channel trunking method |
Family Cites Families (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101367881B1 (en) * | 2007-01-11 | 2014-02-27 | 인하대학교 산학협력단 | Method and apparatus for communicating by use of relaying system in a cognitive radio technique |
| US20090147728A1 (en) * | 2007-12-05 | 2009-06-11 | Atia George K | Wireless Cooperative Relay Network Transmitting Data using Imperfect CSI |
| CN101925067B (en) * | 2009-06-10 | 2013-03-20 | 华为技术有限公司 | Method and network equipment for reusing resources of relay system |
| CN102420679B (en) * | 2011-09-30 | 2014-11-19 | 北京邮电大学 | Relay collaborative precoding-based multi-user two-way communication method |
| CN103828453B (en) * | 2011-12-31 | 2017-11-10 | 日电（中国）有限公司 | Method and apparatus for the beam forming in cognitive radio system |
| CN103312482B (en) * | 2012-03-14 | 2016-12-14 | 中兴通讯股份有限公司 | Downlink base-band signal generation method and device, base station |
| CN103313260B (en) * | 2013-06-18 | 2016-04-06 | 重庆邮电大学 | A kind of based on game theoretic cognitive radio networks bandwidth, power combined allocation method |
| CN105992124B (en) * | 2015-02-12 | 2020-04-24 | 北京邮电大学 | Inter-cluster communication method based on D2D |
| CN104918239B (en) * | 2015-06-04 | 2019-01-18 | 西安交通大学 | Safe transmission method based on the cooperation interference of untrusted cognitive user |
| CN105162548B (en) * | 2015-07-21 | 2018-09-28 | 北京邮电大学 | Coding, interpretation method in cognition wireless network and device |
| CN105072688B (en) * | 2015-08-10 | 2018-10-30 | 北京邮电大学 | The information transferring method and device of more relaying cognition wireless networks |
| CN105072607B (en) * | 2015-08-24 | 2018-08-14 | 重庆邮电大学 | It is a kind of to eavesdrop the safety of physical layer optimization method based on SDP in user cognition network more |
| CN105516997A (en) * | 2015-12-06 | 2016-04-20 | 桂林电子科技大学 | Physical layer safe cognition relay communication method |
| CN105636188B (en) * | 2015-12-29 | 2019-01-01 | 南京邮电大学 | Recognize the power distribution method of decode-and-forward relay system |
| CN106100708B (en) * | 2016-06-07 | 2019-12-31 | 重庆邮电大学 | Physical layer security optimization method in multi-relay cognitive radio network |
| CN106656297A (en) * | 2016-10-14 | 2017-05-10 | 西安电子科技大学 | Cognitive orthogonal cooperative transmission method in the presence of primary user interference |
| CN106879029B (en) * | 2017-02-28 | 2020-03-31 | 西安交通大学 | Information transmission method with high safety energy efficiency based on cooperative communication |
-
2018
- 2018-05-17 CN CN201810473853.5A patent/CN108650008B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104703191A (en) * | 2015-03-26 | 2015-06-10 | 山东大学 | Safety cognitive radio network power distribution method capable of ensuring time delay QoS requirement |
| WO2016195813A2 (en) * | 2015-04-10 | 2016-12-08 | Viasat, Inc. | End-to-end beamforming systems and satellites |
| CN107707290A (en) * | 2017-10-11 | 2018-02-16 | 中山大学新华学院 | Based on two-channel trunking method |
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