CN115189789B - Low-complexity intelligent super-surface phase control method for physical layer safety communication - Google Patents
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Abstract
The invention discloses a low-complexity intelligent super-surface phase control method for physical layer security communication, belonging to the application field of an intelligent super-surface (RIS) assisted wireless communication system. The invention does not rely on a high-complexity algorithm such as a neural network to carry out phase solving, but can regulate and control the phase of a reflected signal based on the intelligent super surface, strengthen the signal when the equivalent phase of a reflected link is in phase with the equivalent phase of a direct link, and restrain the signal when the equivalent phase of the reflected link is opposite to the equivalent phase of the direct link, so that the phase solving is quantified by a mathematical formula, and the complexity of the intelligent super surface phase control method can be reduced; in addition, the change of channel state information caused by the distance difference between each reflecting unit in the intelligent super surface and the influence on equivalent channel state information after the phase of the previous reflecting unit is determined are considered, so that the channel parameter estimation precision is improved, the phase solving precision can be ensured, and the confidentiality rate of a safety communication system can be improved.
Description
Technical Field
The invention belongs to the application field of an intelligent super surface (RIS) assisted wireless communication system, and particularly relates to a low-complexity intelligent super surface phase control method for physical layer security communication.
Background
With the continuous development of mobile communication, the scarcity of wireless spectrum resources makes the working frequency of a communication system continuously rise, so that the problems of difficult coverage and high energy consumption of a wireless network are also more and more prominent, and the wireless network becomes a pain point for restricting the mobile communication industry. The intelligent super surface is a brand new wireless communication enhancement technology, and is expected to solve the two pain points. The technology integrates the artificial electromagnetic metamaterial technology and the modern mobile communication technology, and is a front edge intersection discipline. The reflection phase of the electromagnetic reflection element on the intelligent super surface can be regulated and controlled in real time by software, so that intelligent operation of the incident electromagnetic wave is cooperatively realized, and a wireless signal is directionally reflected to a user terminal. Meanwhile, due to the characteristics of low cost, low power consumption, easiness in deployment and the like, the technology is expected to become one of key technologies of 5G+/6G, and is also a research hotspot with abnormally strong international competition.
At present, intelligent supersurfaces are also in a development stage. In a secure communication scenario, in order to improve the confidentiality rate of a user and solve the problem of shortage of spectrum resources, most of the existing schemes take RIS reflection phases as optimization variables, the optimization problem is built based on the confidentiality rate, and then a neural network algorithm is adopted for solving. The schemes have high algorithm complexity, high implementation cost and difficult implementation.
Therefore, a low-complexity intelligent super-surface phase control method is needed at present, and the performance is improved on the premise of low implementation difficulty.
Disclosure of Invention
Aiming at the problems of high complexity and long calculation time consumption of the existing intelligent super-surface phase control method, the low-complexity intelligent super-surface phase control method for physical layer safety communication disclosed by the invention does not depend on a high-complexity algorithm such as a neural network to carry out phase solving, but can regulate and control the phase of a reflected signal based on the intelligent super-surface, strengthen the signal when the equivalent phase of a reflected link is in phase with the equivalent phase of a through link, and inhibit the signal when the equivalent phase of the reflected link is in phase with the equivalent phase of the through link, so that the phase solving is quantified by a mathematical formula, and the complexity of the low-complexity intelligent super-surface phase control method can be reduced; in addition, the change of channel state information caused by the distance difference between each reflecting unit in the intelligent super surface and the influence on equivalent channel state information after the phase of the previous reflecting unit is determined are considered, so that the channel parameter estimation precision is improved, the phase solving precision can be ensured, and the confidentiality rate of a safety communication system can be improved.
In order to achieve the above purpose, the present invention adopts the following technical scheme.
The invention discloses a low-complexity intelligent super-surface phase control method for physical layer security communication, which comprises the following steps:
step one: taking the distance difference caused by the position coordinate difference of each reflection unit of the intelligent super-surface RIS into consideration, and constructing a channel fading model; and the channel state information estimation precision is improved according to the channel fading model, so that the phase estimation precision is improved, and the confidentiality rate is improved.
The RIS first collects the channel state information h from the sender to the RIS tr ＝[h tr,1 ,h tr,2 ,...,h tr,N ] T Channel state information h of RIS to receiving end ru ＝[h ru,1 ,h ru,2 ,...,h ru,N ] T Channel state information h of RIS to eavesdropping end re ＝[h re,1 ,h re,2 ,...,h re,N ] T Channel state information h from transmitting end to receiving end tu And channel state information h from transmitting end to eavesdropping end te Wherein h is tr,n Indicating channel state information from a transmitting end to an nth reflection unit of RIS, h ru,n Indicating the channel state information from the nth reflection unit of RIS to the receiving end, h re,n And the information of the channel state from the nth reflection unit of the RIS to the eavesdropping end is represented, and N represents the number of reflection units in the RIS.
For all the above-mentioned estimation of channel state information, only the effects of large-scale fading are considered here. For large scale fading, the path loss model caused by distance is given by:
L(d)＝C 0 (d/d 0 ) -α ,d∈{d tu ,d te ,d tr,n ,d ru,n ,d re,n }
wherein C is 0 Is the reference distance d 0 Path loss at time, α is the path loss factor, d tu 、d te 、d tr,n 、d ru,n 、d re,n Respectively representing the distances from a transmitting end to a receiving end, from the transmitting end to a eavesdropping end, from the transmitting end to an RIS nth reflecting unit, from the RIS nth reflecting unit to the receiving end and from the RIS nth reflecting unit to the eavesdropping end.
The path loss model is a channel fading model.
The channel state information h is expressed as follows, θ representing the phase of the signal on each path.
Step two: the intelligent super-surface-based phase control method has the advantages that the phase of a reflected signal can be regulated and controlled, the signal is enhanced when the equivalent phase of a reflected link and the equivalent phase of a through link are in phase, the signal is suppressed when the equivalent phase of the reflected link and the equivalent phase of the through link are in opposite phase, and a plurality of phases obtained by equally dividing the two phases are considered, so that a phase solving formula is quantized, the complexity of the low-complexity intelligent super-surface phase control method is reduced, the calculation rate is improved, and the phase regulation efficiency is improved.
Equivalent channel state information from sender to receiver when determining phase for the first reflective element in the RISEquivalent channel state information from sender to eavesdropper>The reflection units of the RIS can be used to enhance the transmission gain from the transmitting end to the receiving end, in which case the first reflection unit phase of the RIS should be set to +.>The reflection unit of RIS can also be used to suppress transmission from sender to eavesdropperGain, in this case, the first reflection unit phase of RIS should be set toIn addition, M phases intermediate the two phases will also be considered. For this purpose, let->When->The possible phase set of the reflection unit is
When (when)The phase set of the reflecting unit is
Wherein the method comprises the steps ofRepresenting the phase determined by the first reflection unit based on the enhancement of the transmission gain from the transmitting end to the receiving end,representing the phase determined by the first reflection unit based on the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>Representing the maximum value of two phases obtained by the first reflecting unit based on the enhancement of the transmission gain from the transmitting end to the receiving end and the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>The first reflection unit is represented by the minimum value of two phases obtained by the transmission gain from the transmitting end to the receiving end and the transmission gain from the transmitting end to the eavesdropping end.
The phase set is a phase solving formula, the phase of the intelligent super-surface reflected signal is quantitatively solved and predicted according to the phase solving formula, the signal is enhanced when the equivalent phase of the reflected link is in phase with the equivalent phase of the through link, the signal is suppressed when the equivalent phase of the reflected link is opposite to the equivalent phase of the through link, and the phase regulation efficiency is improved.
Step three: and determining the phase of the reflecting unit according to the confidentiality rate, and selecting the corresponding intelligent super-surface RIS phase under the maximum confidentiality rate to ensure that the confidentiality rate performance is improved to the maximum.
For each element in the set of possible phases of the reflection unit, a corresponding privacy rate is calculated. The user rate, eavesdropping rate, and privacy rate at the first reflective element M+2 phases are respectively expressed as
Wherein p represents the transmitting power of the transmitting end, sigma 2 Representing the received noise. Comparing the privacy rate R in the case of M+2 phases sec And selecting the phase of the reflecting unit corresponding to the maximum privacy rate, and completing the phase configuration of the first reflecting unit so as to ensure that the performance of the privacy rate is improved to the maximum.
Step four: considering the influence of the prior reflection unit phase configuration on equivalent state information after completion, constructing an equivalent channel state information quantization updating formula, and improving phase estimation accuracy; and updating the equivalent channel state information according to the equivalent channel state information quantization updating formula, so that the phase configuration of a single reflection unit is realized, the phase configuration precision of the single reflection unit is improved, and the confidentiality rate is improved.
Considering the influence of the prior reflection unit phase configuration on the equivalent state information after completion, constructing an equivalent channel state information quantization update formula, namely respectively representing the equivalent state information from a transmitting end to a receiving end and from the transmitting end to a eavesdropping end as
Wherein N is more than or equal to 1 and less than or equal to N
Wherein N is more than or equal to 1 and less than or equal to N
And quantizing the influence of the phase configuration of the previous reflection unit on the equivalent channel state information according to the equivalent channel state information quantization updating formula, updating the equivalent channel state information, realizing the phase configuration of a single reflection unit, and improving the phase configuration precision of the single reflection unit, thereby improving the confidentiality rate.
Step five: the intelligent super-surface RIS is provided with N reflecting units, the phase configuration is sequentially carried out on the rest reflecting units according to the single reflecting unit phase configuration method from the first step to the fourth step, the security rate of the security communication system is improved while the phase solving precision is ensured until the intelligent super-surface RIS phase high-precision high-efficiency configuration is completed, the low-complexity intelligent super-surface phase high-precision high-efficiency control for the physical layer security communication is realized, and the physical layer security communication efficiency and security are further improved.
According to the single reflection unit phase configuration method from step one to step four, the corresponding reflection unit phases configured under the nth (2N) reflection unit to enhance the transmission gain from the transmitting end to the receiving end and inhibit the transmission gain from the transmitting end to the eavesdropping end are expressed as
The user rate, eavesdropping rate, and privacy rate are respectively expressed as
The beneficial effects are that:
1. the low-complexity intelligent super-surface phase control method for physical layer safety communication disclosed by the invention is based on the intelligent super-surface to regulate the phase of a reflected signal, strengthen the signal when the equivalent phase of a reflected link is in phase with the equivalent phase of a through link, and inhibit the signal when the equivalent phase of the reflected link is opposite to the equivalent phase of the through link, so that the phase solution is quantified by a mathematical formula, the phase solution is carried out without depending on a high-complexity algorithm such as a neural network, and the complexity of the low-complexity intelligent super-surface phase control method can be reduced.
2. According to the low-complexity intelligent super-surface phase control method for physical layer safety communication, disclosed by the invention, the influence of the prior reflection unit phase configuration on equivalent state information is considered, an equivalent channel state information quantization update formula is constructed, and the phase estimation precision is improved; and updating the equivalent channel state information according to the equivalent channel state information quantization updating formula, so that the phase configuration of a single reflection unit is realized, the phase configuration precision of the single reflection unit is improved, and the confidentiality rate is improved.
3. According to the low-complexity intelligent super-surface phase control method for physical layer security communication, disclosed by the invention, the beneficial effects 1 and 2 are achieved on the basis of single reflection unit phase configuration, all reflection units are sequentially subjected to phase configuration, the security rate of a security communication system is improved while the phase solving precision is ensured until the intelligent super-surface RIS phase high-precision high-efficiency configuration is completed, the low-complexity intelligent super-surface phase high-precision high-efficiency control for physical layer security communication is achieved, and the security communication efficiency and the security for the physical layer are further improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the description below are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the implementation flow of a low-complexity intelligent super-surface phase control method for physical layer security communication;
FIG. 2 is a diagram of a RIS-assisted secure communications system model;
FIG. 3 is a 3-D coordinate scenario of a group 5 single user, single eavesdropper assisted by RIS;
FIG. 4 is a graph showing a comparison of system privacy rate performance after employing the method of the present invention in an example.
Detailed Description
In order to make the objects and technical solutions of the present invention more clear, the following detailed description of the embodiments of the present invention will be given with reference to the accompanying drawings.
Example 1:
as shown in fig. 1, the low-complexity intelligent super-surface phase control method for physical layer security communication disclosed in this embodiment specifically includes the following implementation steps:
step one: and considering the distance difference caused by the position coordinate difference of each reflection unit of the RIS, and estimating the channel state information according to the channel fading model with high precision, thereby ensuring the precision of phase estimation and being beneficial to improving the confidentiality rate.
Considering a security communication system based on RIS assistance, in the case that there is a single antenna eavesdropper, a single antenna Base Station (BS) establishes a reliable link with a single antenna legitimate user, the transmitting end is the BS, the receiving end is the user, and the eavesdropper is the eavesdropper, as shown in fig. 2.
The RIS first collects the channel state information h from BS to RIS tr ＝[h tr,1 ,h tr,2 ,...,h tr,N ] T RIS to user channel state information h ru ＝[h ru,1 ,h ru,2 ,...,h ru,N ] T Channel state information h of RIS to eavesdropper re ＝[h re,1 ,h re,2 ,...,h re,N ] T BS-to-user channel state information h tu Channel state information h of BS to eavesdropper te Wherein h is tr,n Information indicating the channel state of BS to the nth reflection unit of RIS, h ru,n Indicating the channel state information from the nth reflection unit of RIS to the user, h re,n Represents the channel state information of the nth reflection unit of the RIS to the eavesdropper, N represents the number of reflection units in the RIS, and n=64.
For the estimation of all channel state information involved in the above system we consider here only the effects of large scale fading. For large scale fading, the path loss model due to distance is given by
L(d)＝C 0 (d/d 0 ) -α ,d∈{d tu ,d te ,d tr,n ,d ru,n ,d re,n }
Wherein C is 0 Is the reference distance d 0 Path loss at=1m, α is the path loss factor, d tu 、d te 、d tr,n 、d ru,n 、d re,n Respectively, the distances from BS to user, BS to eavesdropper, BS to nth reflecting unit in RIS, nth reflecting unit in RIS to user, nth reflecting unit in RIS to eavesdropper. Here we assume C 0 ＝-30dB，BThe path loss factors of S to user, BS to eavesdropper, BS to RIS, RIS to user, RIS to eavesdropper links are set to alpha respectively tu ＝2，α te ＝2.3，α tr ＝2，α ru ＝2，α re =2.8, then the channel state information can be expressed as follows, θ representing the phase of the signal on each path.
The phase θ can be solved by the following equation, where wavelength λ=c/f, speed of light c=3×10 8 m/s, distance d is solved according to the coordinate position, we set the signal frequency f=5×10 9 Hz。
θ＝2π·(dmodλ)/λ,d∈{d tu ,d te ,d tr,n ,d ru,n ,d re,n }
To avoid the contingency of single experimental results, we set 5 groups of user and eavesdropper position coordinates to see if our proposed method has improvement in performance. For simplicity and without loss of generality we consider a 3-D scene, as shown in particular in fig. 3. The base station BS position coordinates are set to (0 m, -50m,3 m), 5 sets of user coordinates are set to (10 m,5m,1.5 m), (20 m,5m,1.5 m), (30 m,5m,1.5 m), (40 m,5m,1.5 m), (50 m,5m,1.5 m), the eavesdropper position coordinates are all set to (-60 m,0m,1.5 m), the position coordinates of the first reflecting unit in the RIS are set to (60 m,10m,6 m), 64 reflecting units are arranged according to 8 x 8, the coordinates of the remaining reflecting units (60 m+i x dis,10m+j x dis,6 m), where 0.ltoreq.7, 0.ltoreq.j.ltoreq.7, j is fixed when calculated, i increases from 0 to 7, dis is the difference in distance between the lateral or longitudinal coordinates between the adjacent two reflecting surfaces, here let dis=10 cm.
Step two: the intelligent super-surface-based method can regulate and control the phase of the reflected signal, strengthen the signal when the equivalent phase of the reflected link is in phase with the equivalent phase of the direct link, inhibit the signal when the equivalent phase of the reflected link is in phase with the equivalent phase of the direct link, and consider a plurality of phases obtained by equally dividing the two phases, so that a phase solving formula is quantized, algorithm complexity is reduced, and calculation rate is improved.
Equivalent channel state information from sender to receiver when determining phase for the first reflective element in the RISEquivalent channel state information from sender to eavesdropper>The reflection units of the RIS can be used to enhance the transmission gain from the transmitting end to the receiving end, in which case the first reflection unit phase of the RIS should be set to +.>The reflection units of the RIS can also be used to suppress the transmission gain from the transmitting end to the eavesdropping end, in which case the first reflection unit phase of the RIS should be set toIn addition, m=8 phases intermediate the two phases will also be considered. For this purpose, let->When->The possible phase set of the reflection unit is
When (when)The phase set of the reflecting unit is
Wherein the method comprises the steps ofRepresenting the phase determined by the first reflection unit based on the enhancement of the transmission gain from the transmitting end to the receiving end,representing the phase determined by the first reflection unit based on the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>Representing the maximum value of two phases obtained by the first reflecting unit based on the enhancement of the transmission gain from the transmitting end to the receiving end and the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>The first reflection unit is represented by the minimum value of two phases obtained by the transmission gain from the transmitting end to the receiving end and the transmission gain from the transmitting end to the eavesdropping end.
Step three: and determining the phase of the reflecting unit according to the confidentiality rate, and selecting the corresponding RIS phase under the maximum confidentiality rate to ensure that the confidentiality rate performance is improved to the maximum.
For each element in the set of possible phases of the reflection unit, a corresponding privacy rate is calculated. The user rate, eavesdropping rate, and privacy rate at the first reflection unit m+2=10 phases are respectively expressed as
Where p represents the transmit power of the transmitting end, whereThe transmit power p=0.2w is set. Comparing privacy rate R with m+2=10 phases sec Selecting a reflection unit phase corresponding to the maximum privacy rate, the first reflection unit phaseThe configuration is completed.
Step four: and quantifying the influence of the phase configuration of the previous reflection unit on the equivalent channel state information, updating the equivalent channel state information according to a mathematical formula, and improving the phase estimation precision, thereby improving the confidentiality rate.
Equivalent state information from the transmitting end to the receiving end and equivalent state information from the transmitting end to the eavesdropping end are respectively expressed as
Step five: the RIS has n=64 reflection units, the above steps describe in detail the phase configuration mode for one of the reflection units, the phase configuration of the remaining reflection units can be sequentially completed based on the processes from the second step to the fourth step, the phase configuration of the RIS is completed, and the overall privacy rate of the system is improved maximally.
The phase of the corresponding reflecting unit under the condition that the reflecting unit is configured under the nth (2.ltoreq.n.ltoreq.64) reflecting unit to enhance the transmission gain from the transmitting end to the receiving end and inhibit the transmission gain from the transmitting end to the eavesdropping end is expressed as
The user rate, eavesdropping rate, and privacy rate are respectively expressed as
The system secret rate performance after the method is adopted is compared with that of the system secret rate shown in figure 4, and the system secret rate after the intelligent super-surface phase control method is adopted can be seen to be improved to a certain extent compared with the condition without the intelligent super-surface. In summary, the embodiment mainly provides a low-complexity intelligent super-surface phase control method for physical layer security communication, which can improve the performance of a secret communication system.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related arts are included in the scope of the present invention.
Claims (3)
1. The low-complexity intelligent super-surface phase control method for physical layer safety communication is characterized by comprising the following steps of: the method comprises the following steps:
step one: taking the distance difference caused by the position coordinate difference of each reflection unit of the intelligent super-surface RIS into consideration, and constructing a channel fading model; the channel state information estimation precision is improved according to the channel fading model, so that the phase estimation precision is improved, and the confidentiality rate is improved;
the first implementation method of the step is that,
the RIS first collects the channel state information h from the sender to the RIS tr ＝[h tr,1 ,h tr,2 ,...,h tr,N ] T RIS to receiver communicationTrack status information h ru ＝[h ru,1 ,h ru,2 ,...,h ru,N ] T Channel state information h of RIS to eavesdropping end re ＝[h re,1 ,h re,2 ,...,h re,N ] T Channel state information h from transmitting end to receiving end tu And channel state information h from transmitting end to eavesdropping end te Wherein h is tr,n Indicating channel state information from a transmitting end to an nth reflection unit of RIS, h ru,n Indicating the channel state information from the nth reflection unit of RIS to the receiving end, h re,n The method comprises the steps of representing channel state information from an nth reflection unit of the RIS to a eavesdropping terminal, wherein N represents the number of reflection units in the RIS;
for the estimation of all the above-mentioned channel state information, only the influence of large-scale fading is considered here; for large scale fading, the path loss model caused by distance is given by:
L(d)＝C 0 (d/d 0 ) -α ,d∈{d tu ,d te ,d tr,n ,d ru,n ,d re,n }
wherein C is 0 Is the reference distance d 0 Path loss at time, α is the path loss factor, d tu 、d te 、d tr,n 、d ru,n 、d re,n Respectively representing the distances from a transmitting end to a receiving end, from the transmitting end to a eavesdropping end, from the transmitting end to an RIS nth reflecting unit, from the RIS nth reflecting unit to the receiving end and from the RIS nth reflecting unit to the eavesdropping end;
the path loss model is a channel fading model;
channel state information h is expressed as follows, θ representing the phase of the signal on each path;
step two: the method is characterized in that the phase of a reflected signal can be regulated and controlled based on the intelligent super surface, the signal is enhanced when the equivalent phase of a reflected link and the equivalent phase of a through link are in phase, the signal is suppressed when the equivalent phase of the reflected link and the equivalent phase of the through link are in opposite phase, and a plurality of phases obtained by equally dividing the two phases are considered, so that a phase solving formula is quantized, the complexity of an intelligent super surface phase control method is reduced, the calculation rate is improved, and the phase regulating efficiency is improved;
the implementation method of the second step is that,
equivalent channel state information from sender to receiver when determining phase for the first reflective element in the RISEquivalent channel state information from sender to eavesdropper>The reflection units of the RIS can be used to enhance the transmission gain from the transmitting end to the receiving end, in which case the first reflection unit phase of the RIS should be set to +.>The reflection units of the RIS can also be used to suppress the transmission gain from the transmitting end to the eavesdropping end, in which case the first reflection unit phase of the RIS should be set toIn addition, M phases intermediate the two phases will also be considered; for this purpose, let->When->The possible phase set of the reflection unit is
When (when)The phase set of the reflecting unit is
Wherein the method comprises the steps ofRepresenting the phase determined by the first reflection unit based on the enhancement of the transmission gain from the transmitting end to the receiving end, for>Representing the phase determined by the first reflection unit based on the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>Representing the maximum value of two phases obtained by the first reflecting unit based on the enhancement of the transmission gain from the transmitting end to the receiving end and the suppression of the transmission gain from the transmitting end to the eavesdropping end, < >>Representing the minimum value of two phases obtained by the first reflection unit based on the transmission gain from the enhancement transmitting end to the receiving end and the transmission gain from the suppression transmitting end to the eavesdropping end;
the phase set is a phase solving formula, the phase of the intelligent super-surface reflected signal is quantitatively solved and predicted according to the phase solving formula, the signal is enhanced when the equivalent phase of the reflected link is in phase with the equivalent phase of the direct link, the signal is suppressed when the equivalent phase of the reflected link is opposite to the equivalent phase of the direct link, and the phase regulation efficiency is improved;
step three: determining the phase of the reflecting unit according to the confidentiality rate, and selecting the corresponding intelligent super-surface RIS phase under the maximum confidentiality rate to ensure that the confidentiality rate performance is improved to the maximum;
step four: considering the influence of the prior reflection unit phase configuration on equivalent state information after completion, constructing an equivalent channel state information quantization updating formula, and improving phase estimation accuracy; updating the equivalent channel state information according to the equivalent channel state information quantization updating formula, realizing single reflection unit phase configuration, and improving the single reflection unit phase configuration precision, thereby improving the confidentiality rate;
the realization method of the fourth step is that,
considering the influence of the prior reflection unit phase configuration on the equivalent state information after completion, constructing an equivalent channel state information quantization update formula, namely respectively representing the equivalent state information from a transmitting end to a receiving end and from the transmitting end to a eavesdropping end as
Wherein N is more than or equal to 1 and less than or equal to N
Wherein N is more than or equal to 1 and less than or equal to N
According to the equivalent channel state information quantization updating formula, the influence of the phase configuration of the previous reflecting unit on the equivalent channel state information is quantized, the equivalent channel state information is updated, the phase configuration of a single reflecting unit is realized, the phase configuration precision of the single reflecting unit is improved, and the confidentiality rate is improved;
step five: the intelligent super-surface RIS is provided with N reflecting units, the phase configuration is sequentially carried out on the rest reflecting units according to the single reflecting unit phase configuration method from the first step to the fourth step, the security rate of the security communication system is improved while the phase solving precision is ensured until the intelligent super-surface RIS phase high-precision high-efficiency configuration is completed, the low-complexity intelligent super-surface phase high-precision high-efficiency control for the physical layer security communication is realized, and the physical layer security communication efficiency and security are further improved.
2. The low-complexity intelligent subsurface phase control method for physical layer-oriented secure communication of claim 1, wherein: the implementation method of the third step is that,
for each element in the set of possible phases of the reflection unit, calculating a respective privacy rate; the user rate, eavesdropping rate, and privacy rate at the first reflective element M+2 phases are respectively expressed as
Wherein p represents the transmitting power of the transmitting end, sigma 2 Representing received noise; comparing the privacy rate R in the case of M+2 phases sec And selecting the phase of the reflecting unit corresponding to the maximum privacy rate, and completing the phase configuration of the first reflecting unit so as to ensure that the performance of the privacy rate is improved to the maximum.
3. The low-complexity intelligent subsurface phase control method for physical layer-oriented secure communication of claim 2, wherein: in the fifth step, the first step is to carry out the process,
according to the single reflection unit phase configuration method from step one to step four, the single reflection unit phase configuration method is configured under the nth reflection unit to enhance the transmission gain from the transmitting end to the receiving end and inhibit the transmission gain from the transmitting end to the eavesdropping end, N is more than or equal to 2 and less than or equal to N, and the corresponding reflection unit phases are expressed as
The user rate, eavesdropping rate, and privacy rate are respectively expressed as
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