CN112073102A - Secure beam forming method and device based on IRS - Google Patents

Secure beam forming method and device based on IRS Download PDF

Info

Publication number
CN112073102A
CN112073102A CN202010931804.9A CN202010931804A CN112073102A CN 112073102 A CN112073102 A CN 112073102A CN 202010931804 A CN202010931804 A CN 202010931804A CN 112073102 A CN112073102 A CN 112073102A
Authority
CN
China
Prior art keywords
irs
convex
base station
constraint
module
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010931804.9A
Other languages
Chinese (zh)
Other versions
CN112073102B (en
Inventor
朱政宇
孙钢灿
徐金雷
林宇
郝万明
刘沛佳
李双志
郭亚博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou University
Original Assignee
Zhengzhou University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhengzhou University filed Critical Zhengzhou University
Priority to CN202010931804.9A priority Critical patent/CN112073102B/en
Publication of CN112073102A publication Critical patent/CN112073102A/en
Application granted granted Critical
Publication of CN112073102B publication Critical patent/CN112073102B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0426—Power distribution
    • H04B7/043—Power distribution using best eigenmode, e.g. beam forming or beam steering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/04013—Intelligent reflective surfaces
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/086—Weighted combining using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to a safe beam forming method and a device based on IRS, wherein the method comprises the following steps: establishing an SWIPT Internet of things system model based on IRS assistance; jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift to construct an optimization problem of maximizing energy acquisition; and converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iterative optimization algorithm to obtain a feasible solution of the original problem. The invention combines the IRS and the jammer, establishes a secret communication link of the SWIPT internet of things system based on the IRS assistance, jointly optimizes the base station transmitting beam forming matrix, the jammer covariance matrix and the IRS phase shift, improves the communication safety and enhances the system energy acquisition capability.

Description

Secure beam forming method and device based on IRS
Technical Field
The invention belongs to the technical field of communication, and particularly relates to an IRS-based security beam forming method and device.
Background
Further research and development of the sixth generation communication technology (6G) can meet the requirement of the Internet of things (IoT) in the future, but the 6G & IoT architecture has a series of problems of resource allocation, sustainable communication, information security and the like among devices. As the rate of information transmission and the number of mobile terminals increase rapidly, security and reliability of information transmission are of particular importance.
Wireless energy-carrying communication transmission (SWIPT) is a radio frequency energy collection technology, that is, wireless information and energy are transmitted simultaneously, and different from wireless power transmission, information is transmitted while energy interaction is performed with a wireless device. The SWIPT technology can simultaneously realize continuous energy supply and effective communication of equipment in the wireless IoT network, and meets the basic requirements of new generation IoT green communication.
The emerging Intelligent Reflective Surface (IRS) technology is considered to be one of the foreground technologies of the B5G/6G communication system. IRS is a uniform array plane integrated by a large number of low cost, sub-wavelength structures and independently controllable passive electromagnetic reflective elements. The intelligent control system has the main function of randomly adjusting the reflection amplitude and the phase of electromagnetic waves by a controller connected with a transmitter in a software programming mode according to communication link information fed back by signal propagation so as to realize intelligent control on a wireless propagation environment. The reflected signal is constructively added with signals of other paths according to the channel parameters, so that the expected signal power of a receiving end can be enhanced, the communication quality is improved, and the purposes of enhancing capacity and expanding the coverage range are achieved. In addition, compared with a traditional active transceiver/relay, the IRS only reflects signals without amplification of transmission power, and the power consumption is small.
The active and passive reciprocal transmission technology based on the IRS is one of the physical layer solutions of the 6G & IoT system, and simultaneously brings new physical layer security. Most of the current work only considers the IRS assisted SWIPT system model or mainly focuses on the traditional secret transmission system, but the current work is not researched as an interference machine technology for effectively improving the secret speed and energy transmission. By using an external interference machine to transmit interference signals to resist eavesdropping, the communication safety is improved, and meanwhile, the energy acquisition capacity of the system is enhanced.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an IRS-based security beam forming method and device.
The purpose of the invention is realized as follows: an IRS-based security beam forming method includes
S1: establishing an SWIPT Internet of things system model based on IRS assistance;
s2: jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift to construct an optimization problem of maximizing energy acquisition;
s3: and converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iterative optimization algorithm to obtain a feasible solution of the original problem.
The step S1 specifically includes:
an IRS-assisted-based SWIPT Internet of things system is established and comprises a multi-antenna base station, a single-antenna legal IoT device and an interception device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
The step S2 specifically includes:
by jointly optimizing the secure transmit beamforming vector, the interference covariance matrix, and the IRS phase shifts, maximization of energy harvesting of EHR under the constraints of base station transmit power, interference transmit power, and IoT reachable secret rate is achieved, which may be expressed as
Figure BDA0002670476980000031
Figure BDA0002670476980000032
Figure BDA0002670476980000033
Rs≥Rth (1d)
Figure BDA0002670476980000034
Wherein, (1b) represents a base station transmit power constraint; (1c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and thus (1d) represents an achievable privacy rate constraint; (1e) the representation is the IRS reflective element phase shift constraint.
The step S3 specifically includes:
the obtained problem formula (1) is a non-convex quadratic programming problem with quadratic constraint and is difficult to directly solve. Definition of
Figure BDA0002670476980000035
And
Figure BDA0002670476980000036
introducing a relaxation variable r1> 0 and r2> 0 and auxiliary variables
Figure BDA0002670476980000037
By using the idea of the SPCA technology, willThe original non-convex problem is expressed as
Figure BDA00026704769800000314
Figure BDA0002670476980000038
Figure BDA0002670476980000039
Figure BDA00026704769800000310
Figure BDA00026704769800000311
Figure BDA00026704769800000312
Figure BDA00026704769800000313
rank(V)＝1 (2h)
Due to a combination of variables (f)1,f2) There is still coupling to V and the objective function (2a) is still non-convex. A first-order Taylor expansion method and an SDR method are utilized, and an alternative iteration optimization algorithm is provided to obtain the solution of the original problem.
An IRS-based security beam forming apparatus includes
The model establishing module is used for establishing an SWIPT Internet of things system model based on IRS assistance;
the system comprises an equation construction module, a data acquisition module and a data acquisition module, wherein the equation construction module is used for jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift and constructing an optimization problem of maximizing energy acquisition;
and the iteration solving module is used for converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iteration optimization algorithm to obtain a feasible solution of the original problem.
The model building module specifically comprises:
establishing an SWIPT Internet of things system model based on IRS assistance; including a multi-antenna base station, a single-antenna legitimate IoT device, and an eavesdropping device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
The equation constructing module specifically comprises:
jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift to construct an optimization problem of maximizing energy acquisition;
Figure BDA0002670476980000041
Figure BDA0002670476980000044
Figure BDA0002670476980000043
Rs≥Rth (3d)
Figure BDA0002670476980000042
wherein, (3b) represents a base station transmit power constraint; (3c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and (3d) therefore indicates that it is reachableA secret rate constraint; (3e) the representation is the IRS reflective element phase shift constraint.
The iterative solution module specifically includes:
the method is used for converting a non-convex quadratic problem into an equivalent convex problem by utilizing a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and provides a feasible solution for obtaining an original problem by an alternative iterative optimization algorithm.
The obtained problem formula (3) is a non-convex quadratic programming problem with quadratic constraint and is difficult to directly solve. Definition of
Figure BDA0002670476980000051
And
Figure BDA0002670476980000052
introducing a relaxation variable r1> 0 and r2> 0 and auxiliary variables
Figure BDA0002670476980000053
By using the idea of the SPCA technology, the original non-convex problem is expressed as
Figure BDA0002670476980000054
Figure BDA0002670476980000055
Figure BDA0002670476980000056
Figure BDA0002670476980000057
Figure BDA0002670476980000058
Figure BDA0002670476980000059
Figure BDA00026704769800000510
rank(V)＝1 (4h)
Due to a combination of variables (f)1,f2) There is still coupling to V and the objective function (4a) is still non-convex. A first-order Taylor expansion method and an SDR method are utilized, and an alternative iteration optimization algorithm is provided to obtain the solution of the original problem.
The invention has the beneficial effects that: according to the technical scheme, the IRS-based secure beam forming method and the IRS-based secure beam forming device provided by the invention aim at maximizing the energy collector acquisition power under the restraint of secret rate, transmission power and IRS reflection phase shift, jointly optimize the base station transmission beam forming matrix, the jammer covariance matrix and the IRS phase shift, and maximize the EHR energy acquisition.
Drawings
Fig. 1 is a schematic structural diagram of an IRS-based secure beamforming method according to the present invention.
Fig. 2 is a structural schematic diagram of an IRS-assisted SWIPT IoT system model.
FIG. 3 is a schematic diagram of a system deployment architecture;
FIG. 4 is a graph showing the variation of the energy collected by the EHR with the number of iterations in the present invention for different transmission powers of the base station;
FIG. 5 is a graph of the energy collected by an EHR versus privacy rate for a progressively higher privacy rate in accordance with the present invention;
FIG. 6 is a graph showing the relationship between the energy collected by the EHR and the number N of IRS reflective elements in the present invention when the number N of reflective elements is increased;
FIG. 7 shows that when the transmission power of the base station is gradually increased, the energy collected by the EHR and the transmission power P of the base station in the present inventionBA relationship diagram of (1);
fig. 8 is a schematic structural diagram of an IRS-based secure beamforming apparatus according to 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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a secure beam forming method and device based on IRS. Under the restraint of secret rate, transmission power and IRS reflection phase shift, the aim of maximizing the energy collector collected power is taken, the base station transmission beam forming matrix, the interference machine covariance matrix and the IRS phase shift are jointly optimized, and the EHR energy collection is maximized. As shown in fig. 2, the method comprises the steps of:
s1: establishing an SWIPT Internet of things system model based on IRS assistance;
s2: jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift to construct an optimization problem of maximizing energy acquisition;
s3: and converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iterative optimization algorithm to obtain a feasible solution of the original problem.
As shown in fig. 2, the method described in this embodiment is applied to an IRS-assisted-based SWIPT internet of things system. Assuming that the distances from the base station/jammer to the EHR, Eve and IoT are 5m, 90m and 100m respectively, the base station/jammer to the IRS channel is a line-of-sight link, and the distance is set to be 7 m. The path loss L per meter is 30dB, the path loss indexes between the base station/jammer and the IRS and between the IRS and the EHR/Eve/IoT device are both 2.4, and the path loss index between the base station/jammer EHR/Eve/IoT device is 3. Variance of noise σ2-105dBm, collection efficiency ξ 0.5, base station transmission power PBAnd interference machine transmitterPower of transmission PJAre all 15W.
In this embodiment, the specific process of step S1 is as follows:
an IRS-assisted-based SWIPT Internet of things system is established and comprises a multi-antenna base station, a single-antenna legal IoT device and an interception device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
The transmission signal of the base station is
x1＝f1s1 (5)
The transmission signal of the jammer is
x2＝f2s2 (6)
The received signal of the IoT device is denoted as
Figure BDA0002670476980000071
Eve's received signal is
Figure BDA0002670476980000072
The SINR of an IoT device is expressed as
Figure BDA0002670476980000073
Eve SINR is expressed as
Figure BDA0002670476980000081
Wherein the content of the first and second substances,
Figure BDA0002670476980000082
and
Figure BDA0002670476980000083
representing the channel gains of the base station to IRS, IoT devices and Eve respectively,
Figure BDA0002670476980000084
and
Figure BDA0002670476980000085
representing the channel gains of jammers to IRS, IoT devices and Eve respectively,
Figure BDA0002670476980000086
and
Figure BDA0002670476980000087
representing the channel gains of the IRS reflected base station signals and jammer signals to IoT devices and Eve, respectively.
Figure BDA0002670476980000088
A diagonal phase shift matrix representing IRS. Principal diagonal line thetanWhere (0, 2 pi) denotes the phase shift of the nth element of the combined incident signal, where N is 1,2, …, N.
The achievable privacy rate of an IoT device may be expressed as
Rs＝log2(1+γU)-log2(1+γE) (11)
The EHR is capable of collecting power of
Figure BDA0002670476980000089
Where ξ is the energy conversion efficiency.
Figure BDA00026704769800000810
And
Figure BDA00026704769800000811
respectively, the channel gains of the base station to EHR, the jammer to EHR, and the IRS reflected base station signals and jammer signals to EHR.
In this embodiment, the specific process of step S2 is as follows:
by jointly optimizing the secure transmit beamforming vector, the interference covariance matrix, and the IRS phase shift, the energy collection of the EHR is maximized under the constraints of the base station transmit power, the interference transmit power, and the IoT reachable secret rate. The energy harvesting maximization problem can be expressed as
Figure BDA00026704769800000812
Figure BDA00026704769800000813
Figure BDA00026704769800000814
Rs≥Rth (13d)
Figure BDA0002670476980000091
Wherein, (13b) represents a base station transmit power constraint; (13c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and thus, (13d) represents an achievable privacy rate constraint; (13e) the representation is the IRS reflective element phase shift constraint. Due to the non-convexity of the objective function and the constraint conditions, the optimization problem (13) is a non-convex quadratic programming problem with quadratic constraint, which is difficult to solve directly, but when f is1,f2And Θ is known, it can be solved efficiently using an alternating iterative algorithm.
In this embodiment, the specific process of step S3 is as follows:
order to
Figure BDA0002670476980000092
v＝[uH,1]，
Figure BDA0002670476980000093
Figure BDA0002670476980000094
Figure BDA0002670476980000095
Substituting optimization problem formula (13), simplifying to obtain optimization problem (14)
Figure BDA0002670476980000096
s.t.(13b)，(13c)，(13d)，(13e)
Convex approximation is carried out on a non-convex constraint condition (10d) by adopting a relaxation variable and SPCA method, and two relaxation variables r are introduced firstly1> 0 and r2> 0, (13d) can be converted equivalently
log2(r1r2)≥Rth (15a)
Figure BDA0002670476980000097
Figure BDA0002670476980000098
Further simplified (15) to obtain
Figure BDA0002670476980000099
Figure BDA00026704769800000910
Figure BDA00026704769800000911
Constraint (16a) is equivalent to
Figure BDA0002670476980000101
Further conversion to a quadratic function representation of a quadratic curve, e.g.
Figure BDA0002670476980000102
Definition of
Figure BDA0002670476980000103
(16b) And (16c) are respectively arranged as
Figure BDA0002670476980000104
Figure BDA0002670476980000105
The constraints (18b) and (18c) are still non-convex, but to the right are related to the variable f1And f2The quadratic form of (a) is divided by a linear convex function form, and the form of the quadratic form divided by a linear function can be equivalently converted into a first-order taylor expansion.
Introduction 1: defining a function f with respect to the variables (w, q)A,a(w,q)
Figure BDA0002670476980000106
Wherein the content of the first and second substances,
Figure BDA00026704769800001012
and q ≧ a, function fA,a(w, q) is a first order Taylor expansion centered at (w, q)
Figure BDA0002670476980000107
Next, according to the conclusion of theorem 1, the following (f) is respectively used1,r1) And (f)2,r2) The right half of constraints (18b) and (18c) can be converted to the center point, respectively
Figure BDA0002670476980000108
Figure BDA0002670476980000109
In addition, the first and second substrates are,
Figure BDA00026704769800001010
is of a first order Taylor expansion of
σ2(2/r2-r2/r2 2) (22)
In combination with the above equations (21b), (21c) and (22), the inequalities (18b) and (18c) are converted into the following convex constraints, respectively
Figure BDA00026704769800001011
Figure BDA0002670476980000111
Finally, define
Figure BDA0002670476980000112
And
Figure BDA0002670476980000113
according to (14) to (23), the optimization problem (13) is converted into (24)
Figure BDA0002670476980000114
Figure BDA0002670476980000115
Figure BDA0002670476980000116
Figure BDA00026704769800001114
rank(V)＝1 (24e)
(17)，(23b)，(23c)
In this embodiment, the specific process of step S3 is as follows:
due to a combination of variables (f)1,f2) Still coupled with V, the objective function (24a) is still non-convex. And (3) converting the optimization problem (24) into two subproblems by adopting an alternating iteration algorithm, and solving the subproblems by respectively utilizing an SPCA (shortest path first) method and an SDR (shortest path distance) method. Will be provided with
Figure BDA0002670476980000117
And
Figure BDA0002670476980000118
at point f1And point f2First order Taylor expansions, respectively denoted as
Figure BDA0002670476980000119
Figure BDA00026704769800001110
With (25) and (26), the objective function (21a) can be expressed as
Figure BDA00026704769800001111
Suppose that given a known vector V, a question (24) can be converted into a sub-question (28)
Figure BDA00026704769800001112
s.t.(17)，(23b)，(23c)，(24b)
The problem (28) is a second order cone programming problem that can be solved directly by the CVX tool.
Next, a combination variable (f) is given1,f2) And optimizing the vector V. Question (P3) can be converted into question (P5)
Figure BDA00026704769800001113
s.t.(17)，(23b)，(23c)，(24c)，(24d)，(24e)
The problem (29) is still not convex due to the rank-one constraint. Adopting SDR algorithm, neglecting the constraint condition of rank (V) 1, the problem (29) is converted into a problem (30)
Figure BDA0002670476980000121
s.t.(17)，(23b)，(23c)，(24c)，(24d)
Problem (30) is an SDP problem that can be solved using a convex optimization solver CVX. However, the relaxation problem (30) does not necessarily yield a rank-one solution, i.e., rank (v) ≠ 1, so the optimal objective function values of the problem (30) serve only the upper bound of the problem (29). Therefore, constructing a rank-one solution from the optimal higher-order solution of the problem (30) requires first passing through V ═ U Σ UHPerforming singular value decomposition, wherein U ═ e1,…,eN+1]Sum ═ diag (λ)1,…,λN+1) Respectively a unitary matrix and a diagonal matrix; then, a sub-optimal solution v of the problem (30) is obtained*＝UΣ1/2r, wherein,
Figure BDA0002670476980000122
is based on
Figure BDA0002670476980000123
The random vector is generated by the random vector generator,
Figure BDA0002670476980000124
representing a circularly symmetric complex Gaussian distribution with a mean of zero and a covariance matrix of IN+1Approximating the value of the objective function of (30) to the maximum value obtained by the optimal v in all r by using an independently generated Gaussian random vector r; finally, v can be represented by
Figure BDA0002670476980000125
And (4) reducing. The results show that the SDR method plus multiple executions of randomization ensures maximization of the target value of the problem (30).
According to the technical scheme, the invention provides the secure beam forming method based on the IRS, and the maximum EHR energy acquisition can be obtained by jointly optimizing the base station transmitting beam forming matrix, the interference machine covariance matrix and the IRS phase shift under the constraints of the secret rate, the transmitting power and the IRS reflection phase shift.
Fig. 4 shows the variation of the acquired energy of EHR with the number of iterations obtained by the proposed alternating iteration algorithm. As can be seen from the figure, the convergence rate of the submitted alternative iterative algorithm is high, and the algorithm is applied to different PBUnder the condition of (3), the maximum acquisition energy can be obtained only by 5 iterations to achieve convergence.
Figure 5 shows the energy collected by an EHR versus the privacy rate. When M is 8 and N is 40, it can be seen from the figure that as the privacy rate increases, the energy collected by the EHR gradually decreases; comparing the method provided by the embodiment of the invention with the three reference schemes, the energy acquired under the assistance of the IRS is about 2.88dB better than that of the non-IRS scheme, mainly because the IRS provides a new degree of freedom and diversity gain for the system, and the acquired energy of the EHR is improved by optimizing the phase shift of the IRS. The method provided by the embodiment of the invention is superior to the traditional IRS method and the random phase shifting method. This figure demonstrates the effectiveness of the method provided by the embodiments of the present invention, in comparison to a non-Jammer scheme.
FIG. 6 shows the EHR collected energy versus the number of IRS reflective elements, N. Obviously, the method provided by the embodiment of the invention is superior to other reference schemes. Let R bethWhen the number of IRS reflective elements is increased from 10 to 70 at 3bps/Hz, the energy collected by the EHR increases monotonically with the increase in the number of reflective elements N. The main reason is that as the number N of IRS reflection elements increases, the spatial degree of freedom and diversity gain acquired by the IRS will become larger. When N is 10, the energy collected by the non-Jammer scheme is slightly lower than that of the random phase-shift method because the total power of the non-Jammer scheme is lower than that of the random phase-shift scheme, and is better than that of the random phase-shift method at about N15. Compared with a non-IRS scheme, the random phase shift method only obtains a tiny performance gain, and the performance is improved slowly with the increase of N.
FIG. 7 shows the energy collected by the EHR versus the base station transmit power PBThe relationship of (1). As can be seen from the figure, as the base station transmit power increases, the energy collected by the EHR monotonically increases with respect to the base station transmit power. Under the condition that the base station power is the same, the method provided by the embodiment of the invention is about 1.74dB better than the non-Jammer scheme. As can be seen from comparative analysis, the IRS-assisted system brings the gain of energy acquisition performance superior to that of a non-IRS scheme, and the scheme provided by the invention is remarkably superior to a random phase shift method. In addition, with PBAdditionally, the performance difference between the IRS and non-IRS schemes and the performance difference between the IRS phase shift optimization scheme and the random phase shift scheme are gradually increased because optimizing the IRS phase shift directionally enhances the desired reflected signal and thus increases the spatial freedom and diversity gain brought by the IRS.
Fig. 8 is a schematic structural diagram of an IRS-based secure beamforming apparatus according to the present invention;
the model establishing module is used for establishing an SWIPT Internet of things system model based on IRS assistance;
the system comprises an equation construction module, a data acquisition module and a data acquisition module, wherein the equation construction module is used for jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift and constructing an optimization problem of maximizing energy acquisition;
and the iteration solving module is used for converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iteration optimization algorithm to obtain a feasible solution of the original problem.
In this embodiment, the model building module specifically includes:
the model establishing module is used for establishing an SWIPT Internet of things system model based on IRS assistance; including a multi-antenna base station, a single-antenna legitimate IoT device, and an eavesdropping device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
In this embodiment, the equation constructing module specifically includes:
the system comprises an equation construction module, a data acquisition module and a data acquisition module, wherein the equation construction module is used for jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift and constructing an optimization problem of maximizing energy acquisition;
Figure BDA0002670476980000141
Figure BDA0002670476980000142
Figure BDA0002670476980000143
Rs≥Rth (3d)
Figure BDA0002670476980000144
wherein, (3b) represents a base station transmit power constraint; (3c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and thus (3d) represents an achievable privacy rate constraint; (3e) the representation is the IRS reflective element phase shift constraint.
In this embodiment, the iterative solution module specifically includes:
and the iteration processing module is used for converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iteration optimization algorithm to obtain a feasible solution of the original problem.
The obtained problem formula (3) is a non-convex quadratic programming problem with quadratic constraint and is difficult to directly solve. Definition of
Figure BDA0002670476980000151
And
Figure BDA0002670476980000152
introducing a relaxation variable r1> 0 and r2> 0 and auxiliary variables
Figure BDA0002670476980000153
By using the idea of the SPCA technology, the original non-convex problem is expressed as
Figure BDA0002670476980000154
Figure BDA0002670476980000155
Figure BDA0002670476980000156
Figure BDA0002670476980000157
Figure BDA0002670476980000158
Figure BDA0002670476980000159
Figure BDA00026704769800001510
rank(V)＝1 (4h)
Due to a combination of variables (f)1,f2) There is still coupling to V and the objective function (4a) is still non-convex. A first-order Taylor expansion method and an SDR method are utilized, and an alternative iteration optimization algorithm is provided to obtain the solution of the original problem.

Claims (8)

1. An IRS-based security beamforming method, comprising:
s1: establishing an SWIPT Internet of things system model based on IRS assistance;
s2: jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift to construct an optimization problem of maximizing energy acquisition;
s3: and converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iterative optimization algorithm to obtain a feasible solution of the original problem.
2. The IRS-based secure beamforming method according to claim 1, wherein the step S1 specifically includes:
an IRS-assisted-based SWIPT Internet of things system is established and comprises a multi-antenna base station, a single-antenna legal IoT device and an interception device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
3. The IRS-based secure beamforming method according to claim 1, wherein the step S2 specifically includes:
by jointly optimizing the secure transmit beamforming vector, the interference covariance matrix, and the IRS phase shifts, maximization of energy harvesting of EHR under the constraints of base station transmit power, interference transmit power, and IoT reachable secret rate is achieved, which may be expressed as
Figure FDA0002670476970000011
Figure FDA0002670476970000012
Figure FDA0002670476970000013
Rs≥Rth (1d)
Figure FDA0002670476970000014
Wherein, (1b) represents a base station transmit power constraint; (1c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and thus (1d) represents an achievable privacy rate constraint; (1e) the representation is the IRS reflective element phase shift constraint.
4. The IRS-based secure beamforming method according to claim 1, wherein the step S3 specifically includes:
the obtained problem formula (1) is a non-convex quadratic programming problem with quadratic constraint and is difficult to directly solve. Definition of
Figure FDA0002670476970000021
And
Figure FDA0002670476970000022
introducing a relaxation variable r1>0 and r2>0 and auxiliary variables
Figure FDA0002670476970000023
By using the idea of the SPCA technology, the original non-convex problem is expressed as
Figure FDA0002670476970000024
Figure FDA0002670476970000025
Figure FDA0002670476970000026
Figure FDA0002670476970000027
Figure FDA0002670476970000028
Figure FDA0002670476970000029
V≥0 (2g)
rank(V)＝1 (2h)
Due to a combination of variables (f)1,f2) There is still coupling to V and the objective function (2a) is still non-convex. A first-order Taylor expansion method and an SDR method are utilized, and an alternative iteration optimization algorithm is provided to obtain the solution of the original problem.
5. An IRS-based security beamforming apparatus, comprising:
the model establishing module is used for establishing an SWIPT Internet of things system model based on IRS assistance;
the system comprises an equation construction module, a data acquisition module and a data acquisition module, wherein the equation construction module is used for jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift and constructing an optimization problem of maximizing energy acquisition;
and the iteration solving module is used for converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iteration optimization algorithm to obtain a feasible solution of the original problem.
6. The IRS-based secure beamforming apparatus according to claim 5, wherein the model building module specifically comprises:
the model establishing module is used for establishing an SWIPT Internet of things system model based on IRS assistance; including a multi-antenna base station, a single-antenna legitimate IoT device, and an eavesdropping device (Eve). An Energy Harvester (EHR) is deployed near the IRS to harvest energy from the rf signal. An interferer is used to transmit the interfering signal. Assuming that the base station and the jammer are both configured with M antennas, the IRS is configured with N reflection units.
7. The IRS-based secure beamforming apparatus according to claim 5, wherein the equation construction module specifically comprises:
the system comprises an equation construction module, a data acquisition module and a data acquisition module, wherein the equation construction module is used for jointly optimizing a base station transmitting beam forming matrix, an interference machine covariance matrix and IRS phase shift and constructing an optimization problem of maximizing energy acquisition;
Figure FDA0002670476970000031
Figure FDA0002670476970000032
Figure FDA0002670476970000033
Rs≥Rth (3d)
Figure FDA0002670476970000034
wherein, (3b) represents a base station transmit power constraint; (3c) representing an interferer transmit power constraint; rthRepresents a privacy rate threshold, and thus (3d) represents an achievable privacy rate constraint; (3e) the representation is the IRS reflective element phase shift constraint.
8. The IRS-based secure beamforming apparatus according to claim 5, wherein the iterative solution module specifically comprises:
and the iteration processing module is used for converting the non-convex quadratic problem into an equivalent convex problem by using a relaxation variable, a semi-definite relaxation method, an auxiliary variable and a sequence parameter convex approximation method, and providing an alternative iteration optimization algorithm to obtain a feasible solution of the original problem.
The obtained problem formula (3) is a non-convex quadratic programming problem with quadratic constraint and is difficult to directly solve. Definition of
Figure FDA0002670476970000041
And
Figure FDA0002670476970000042
introducing a relaxation variable r1>0 and r2>0 and auxiliary variables
Figure FDA0002670476970000043
Utilizing the idea of SPCA technology to search the original non-convex questionThe question is expressed as
Figure FDA0002670476970000044
Figure FDA0002670476970000045
Figure FDA0002670476970000046
Figure FDA0002670476970000047
Figure FDA0002670476970000048
Figure FDA0002670476970000049
V≥0 (4g)
rank(V)＝1 (4h)
Due to a combination of variables (f)1,f2) There is still coupling to V and the objective function (4a) is still non-convex. A first-order Taylor expansion method and an SDR method are utilized, and an alternative iteration optimization algorithm is provided to obtain the solution of the original problem.
CN202010931804.9A 2020-09-08 2020-09-08 Intelligent reflecting surface assisted safe communication method and device Active CN112073102B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010931804.9A CN112073102B (en) 2020-09-08 2020-09-08 Intelligent reflecting surface assisted safe communication method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010931804.9A CN112073102B (en) 2020-09-08 2020-09-08 Intelligent reflecting surface assisted safe communication method and device

Publications (2)

Publication Number Publication Date
CN112073102A true CN112073102A (en) 2020-12-11
CN112073102B CN112073102B (en) 2022-04-08

Family

ID=73664132

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010931804.9A Active CN112073102B (en) 2020-09-08 2020-09-08 Intelligent reflecting surface assisted safe communication method and device

Country Status (1)

Country Link
CN (1) CN112073102B (en)

Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112782652A (en) * 2021-01-06 2021-05-11 北京理工大学 RIS-assisted radar communication integrated system waveform design method
CN112859909A (en) * 2021-01-05 2021-05-28 中国科学院上海微系统与信息技术研究所 Unmanned aerial vehicle auxiliary network data secure transmission method with coexistence of internal and external eavesdropping
CN112910527A (en) * 2021-01-29 2021-06-04 福州大学 Wireless safe transmission method and system based on three-dimensional beam forming and intelligent reflection
CN112929068A (en) * 2021-02-04 2021-06-08 重庆邮电大学 SDR-based IRS-NOMA system beam forming optimization method
CN112954690A (en) * 2021-01-22 2021-06-11 西北工业大学 Anti-interference method and system based on space-based reconfigurable intelligent surface
CN112995989A (en) * 2021-04-30 2021-06-18 电子科技大学 5G application-oriented safe transmission method based on large-scale reconfigurable intelligent surface
CN113037346A (en) * 2021-03-12 2021-06-25 重庆邮电大学 IRS and artificial noise assisted MIMO system physical layer safety design method
CN113068262A (en) * 2021-03-25 2021-07-02 电子科技大学 Dynamic resource allocation method based on intelligent reflector auxiliary uplink system
CN113225118A (en) * 2021-05-11 2021-08-06 中国人民解放军国防科技大学 Information super-surface anti-interference method based on robust beam forming
CN113315547A (en) * 2021-05-28 2021-08-27 北京邮电大学 Robust joint transmission beam optimization method for intelligent reflecting surface assisted multiple cells
CN113382445A (en) * 2021-07-26 2021-09-10 华北电力大学（保定） Method, device, terminal and storage medium for improving safety rate of SWIPT system
CN113411115A (en) * 2021-06-15 2021-09-17 河南科技大学 Intelligent reflection surface assisted millimeter wave physical layer security communication joint optimization method
CN113422628A (en) * 2020-12-24 2021-09-21 西北工业大学 Safe transmission method and terminal system based on reconfigurable intelligent surface and active interference
CN113556164A (en) * 2021-06-30 2021-10-26 杭州电子科技大学 Beam forming optimization method based on energy efficiency priority in IRS-assisted SWIPT system
CN113660017A (en) * 2021-09-16 2021-11-16 重庆邮电大学 SINR maximization method of IRS-assisted dual-function radar communication system
CN113691295A (en) * 2021-08-18 2021-11-23 北京理工大学 IRS-based interference suppression method in heterogeneous network
CN113765617A (en) * 2021-09-30 2021-12-07 电子科技大学 Method for resisting same frequency interference based on reflection amplification surface
CN113784365A (en) * 2021-09-08 2021-12-10 哈尔滨工程大学 Internet of things communication resource management method
CN113852401A (en) * 2021-08-27 2021-12-28 电子科技大学 Multi-user IRS-oriented optical and wireless intelligent fusion secure access method
CN113965245A (en) * 2021-09-30 2022-01-21 广西电网有限责任公司柳州供电局 Intelligent reflecting surface communication system resource optimization method based on OPGW (optical fiber composite overhead ground wire) joint box
CN113973305A (en) * 2021-10-26 2022-01-25 西安电子科技大学 Intelligent reflecting surface position and beam joint optimization method carried on unmanned aerial vehicle
CN114039632A (en) * 2021-11-26 2022-02-11 江苏科技大学 Optimization method, storage medium and system of IRS auxiliary MIMO system
CN114125898A (en) * 2021-11-10 2022-03-01 广东工业大学 SWIPT system physical layer safety optimization method based on double intelligent reflection planes
CN114157392A (en) * 2021-11-30 2022-03-08 安徽师范大学 Optimization method for safety transmission of distributed IRS auxiliary communication system
CN114158050A (en) * 2021-08-24 2022-03-08 华北电力大学（保定） Method, device and system for improving safety calculation performance of WPT-MEC system
CN114172547A (en) * 2021-12-16 2022-03-11 华南理工大学 Wireless energy-carrying communication hybrid precoding design method based on intelligent reflecting surface
CN114222310A (en) * 2021-11-22 2022-03-22 西南交通大学 3D beam forming and intelligent reflecting surface reflection optimization combined method
CN114221724A (en) * 2021-12-07 2022-03-22 广东工业大学 Intelligent reflecting surface assisted cognitive wireless energy-carrying communication network performance optimization method
CN114337851A (en) * 2021-12-21 2022-04-12 郑州大学 Intelligent super-surface assisted terahertz secure communication method and device
CN114585005A (en) * 2022-03-04 2022-06-03 大连理工大学 Intelligent reflector assisted wireless enabling safety communication method
CN114826835A (en) * 2022-03-31 2022-07-29 南京理工大学 Interference covariance matrix estimation method of IRS auxiliary wireless communication system in direction modulation
WO2022261922A1 (en) * 2021-06-18 2022-12-22 Qualcomm Incorporated Indication of reconfigurable intelligent surface participation in a communication
CN115515100A (en) * 2022-09-19 2022-12-23 西北工业大学 RIS-UAV-based passive beam position optimization method, system, medium and equipment

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108495337A (en) * 2018-01-23 2018-09-04 华南理工大学 Wireless portable communications system maximum safe rate optimization method based on NOMA
CN110225538A (en) * 2019-06-21 2019-09-10 电子科技大学 The non-orthogonal multiple access communications design method of reflecting surface auxiliary
US20190288759A1 (en) * 2018-03-06 2019-09-19 Verizon Patent And Licensing Inc. System and method for antenna array control and coverage mapping
CN110278017A (en) * 2019-06-27 2019-09-24 广东工业大学 A kind of multi-antenna wireless energy transmission system and method based on intelligent reflecting surface
US20190386637A1 (en) * 2018-06-15 2019-12-19 Resonant Inc. Solidly-mounted transversely-excited film bulk acoustic resonator
CN111010219A (en) * 2019-11-28 2020-04-14 东南大学 Reconfigurable intelligent surface-assisted multi-user MIMO uplink transmission method
CN111294096A (en) * 2020-02-17 2020-06-16 南京信息工程大学 Channel capacity optimization method of intelligent reflector MISO wireless communication system
CN111447618A (en) * 2020-03-13 2020-07-24 重庆邮电大学 Intelligent reflector energy efficiency maximum resource allocation method based on secure communication

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108495337A (en) * 2018-01-23 2018-09-04 华南理工大学 Wireless portable communications system maximum safe rate optimization method based on NOMA
US20190288759A1 (en) * 2018-03-06 2019-09-19 Verizon Patent And Licensing Inc. System and method for antenna array control and coverage mapping
US20190386637A1 (en) * 2018-06-15 2019-12-19 Resonant Inc. Solidly-mounted transversely-excited film bulk acoustic resonator
CN110225538A (en) * 2019-06-21 2019-09-10 电子科技大学 The non-orthogonal multiple access communications design method of reflecting surface auxiliary
CN110278017A (en) * 2019-06-27 2019-09-24 广东工业大学 A kind of multi-antenna wireless energy transmission system and method based on intelligent reflecting surface
CN111010219A (en) * 2019-11-28 2020-04-14 东南大学 Reconfigurable intelligent surface-assisted multi-user MIMO uplink transmission method
CN111294096A (en) * 2020-02-17 2020-06-16 南京信息工程大学 Channel capacity optimization method of intelligent reflector MISO wireless communication system
CN111447618A (en) * 2020-03-13 2020-07-24 重庆邮电大学 Intelligent reflector energy efficiency maximum resource allocation method based on secure communication

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
G. D"AMATO: "A DDS-PLL beam steering polar transmitter for narrowband IoT communications", 《2017 2ND INTERNATIONAL MULTIDISCIPLINARY CONFERENCE ON COMPUTER AND ENERGY SCIENCE》 *
赵飞: "基于SWIPT的毫米波大规模MIMO-NOMA系统下安全能效资源优化", 《通信学报》 *

Cited By (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113422628A (en) * 2020-12-24 2021-09-21 西北工业大学 Safe transmission method and terminal system based on reconfigurable intelligent surface and active interference
CN113422628B (en) * 2020-12-24 2023-02-03 西北工业大学 Safe transmission method and terminal system based on reconfigurable intelligent surface and active interference
CN112859909A (en) * 2021-01-05 2021-05-28 中国科学院上海微系统与信息技术研究所 Unmanned aerial vehicle auxiliary network data secure transmission method with coexistence of internal and external eavesdropping
CN112859909B (en) * 2021-01-05 2022-07-12 中国科学院上海微系统与信息技术研究所 Unmanned aerial vehicle auxiliary network data secure transmission method with internal and external eavesdropping coexistence
CN112782652B (en) * 2021-01-06 2024-01-26 北京理工大学 RIS-assisted radar communication integrated system waveform design method
CN112782652A (en) * 2021-01-06 2021-05-11 北京理工大学 RIS-assisted radar communication integrated system waveform design method
CN112954690B (en) * 2021-01-22 2022-11-22 西北工业大学 Anti-interference method and system based on space-based reconfigurable intelligent surface
CN112954690A (en) * 2021-01-22 2021-06-11 西北工业大学 Anti-interference method and system based on space-based reconfigurable intelligent surface
CN112910527A (en) * 2021-01-29 2021-06-04 福州大学 Wireless safe transmission method and system based on three-dimensional beam forming and intelligent reflection
CN112929068A (en) * 2021-02-04 2021-06-08 重庆邮电大学 SDR-based IRS-NOMA system beam forming optimization method
CN113037346A (en) * 2021-03-12 2021-06-25 重庆邮电大学 IRS and artificial noise assisted MIMO system physical layer safety design method
CN113037346B (en) * 2021-03-12 2023-07-18 重庆邮电大学 IRS and artificial noise assisted MIMO system physical layer safety design method
CN113068262A (en) * 2021-03-25 2021-07-02 电子科技大学 Dynamic resource allocation method based on intelligent reflector auxiliary uplink system
CN113068262B (en) * 2021-03-25 2022-03-29 电子科技大学 Dynamic resource allocation method based on intelligent reflector auxiliary uplink system
CN112995989A (en) * 2021-04-30 2021-06-18 电子科技大学 5G application-oriented safe transmission method based on large-scale reconfigurable intelligent surface
CN113225118A (en) * 2021-05-11 2021-08-06 中国人民解放军国防科技大学 Information super-surface anti-interference method based on robust beam forming
CN113225118B (en) * 2021-05-11 2022-09-02 中国人民解放军国防科技大学 Information super-surface anti-interference method based on robust beam forming
CN113315547A (en) * 2021-05-28 2021-08-27 北京邮电大学 Robust joint transmission beam optimization method for intelligent reflecting surface assisted multiple cells
CN113411115B (en) * 2021-06-15 2023-01-31 河南科技大学 Intelligent reflection surface assisted millimeter wave physical layer security communication joint optimization method
CN113411115A (en) * 2021-06-15 2021-09-17 河南科技大学 Intelligent reflection surface assisted millimeter wave physical layer security communication joint optimization method
WO2022261922A1 (en) * 2021-06-18 2022-12-22 Qualcomm Incorporated Indication of reconfigurable intelligent surface participation in a communication
CN113556164A (en) * 2021-06-30 2021-10-26 杭州电子科技大学 Beam forming optimization method based on energy efficiency priority in IRS-assisted SWIPT system
CN113556164B (en) * 2021-06-30 2024-02-27 杭州电子科技大学 Energy efficiency priority-based beam forming optimization method in IRS-assisted SWIPT system
CN113382445A (en) * 2021-07-26 2021-09-10 华北电力大学（保定） Method, device, terminal and storage medium for improving safety rate of SWIPT system
CN113382445B (en) * 2021-07-26 2022-04-29 华北电力大学（保定） Method, device, terminal and storage medium for improving safety rate of SWIPT system
CN113691295B (en) * 2021-08-18 2023-02-24 北京理工大学 IRS-based interference suppression method in heterogeneous network
CN113691295A (en) * 2021-08-18 2021-11-23 北京理工大学 IRS-based interference suppression method in heterogeneous network
CN114158050B (en) * 2021-08-24 2023-06-27 华北电力大学（保定） Method, device and system for improving secure computing performance of WPT-MEC system
CN114158050A (en) * 2021-08-24 2022-03-08 华北电力大学（保定） Method, device and system for improving safety calculation performance of WPT-MEC system
CN113852401B (en) * 2021-08-27 2023-08-04 电子科技大学 Multi-user IRS-oriented optical and wireless intelligent fusion security access method
CN113852401A (en) * 2021-08-27 2021-12-28 电子科技大学 Multi-user IRS-oriented optical and wireless intelligent fusion secure access method
CN113784365A (en) * 2021-09-08 2021-12-10 哈尔滨工程大学 Internet of things communication resource management method
CN113784365B (en) * 2021-09-08 2023-07-21 哈尔滨工程大学 Communication resource management method for Internet of things
CN113660017A (en) * 2021-09-16 2021-11-16 重庆邮电大学 SINR maximization method of IRS-assisted dual-function radar communication system
CN113765617B (en) * 2021-09-30 2023-09-22 电子科技大学 Method for resisting same-frequency interference based on reflection amplification surface
CN113765617A (en) * 2021-09-30 2021-12-07 电子科技大学 Method for resisting same frequency interference based on reflection amplification surface
CN113965245A (en) * 2021-09-30 2022-01-21 广西电网有限责任公司柳州供电局 Intelligent reflecting surface communication system resource optimization method based on OPGW (optical fiber composite overhead ground wire) joint box
CN113973305B (en) * 2021-10-26 2022-08-12 西安电子科技大学 Intelligent reflecting surface position and beam joint optimization method carried on unmanned aerial vehicle
CN113973305A (en) * 2021-10-26 2022-01-25 西安电子科技大学 Intelligent reflecting surface position and beam joint optimization method carried on unmanned aerial vehicle
CN114125898A (en) * 2021-11-10 2022-03-01 广东工业大学 SWIPT system physical layer safety optimization method based on double intelligent reflection planes
CN114222310A (en) * 2021-11-22 2022-03-22 西南交通大学 3D beam forming and intelligent reflecting surface reflection optimization combined method
CN114039632B (en) * 2021-11-26 2023-10-27 江苏科技大学 Optimization method, storage medium and system of IRS auxiliary MIMO system
CN114039632A (en) * 2021-11-26 2022-02-11 江苏科技大学 Optimization method, storage medium and system of IRS auxiliary MIMO system
CN114157392B (en) * 2021-11-30 2023-11-28 安徽师范大学 Optimization method for secure transmission of distributed IRS auxiliary communication system
CN114157392A (en) * 2021-11-30 2022-03-08 安徽师范大学 Optimization method for safety transmission of distributed IRS auxiliary communication system
CN114221724B (en) * 2021-12-07 2023-07-11 广东工业大学 Intelligent reflector-assisted cognitive wireless energy-carrying communication network performance optimization method
CN114221724A (en) * 2021-12-07 2022-03-22 广东工业大学 Intelligent reflecting surface assisted cognitive wireless energy-carrying communication network performance optimization method
CN114172547A (en) * 2021-12-16 2022-03-11 华南理工大学 Wireless energy-carrying communication hybrid precoding design method based on intelligent reflecting surface
CN114337851A (en) * 2021-12-21 2022-04-12 郑州大学 Intelligent super-surface assisted terahertz secure communication method and device
CN114585005B (en) * 2022-03-04 2023-07-25 大连理工大学 Intelligent reflector-assisted wireless energized secure communication method
CN114585005A (en) * 2022-03-04 2022-06-03 大连理工大学 Intelligent reflector assisted wireless enabling safety communication method
CN114826835A (en) * 2022-03-31 2022-07-29 南京理工大学 Interference covariance matrix estimation method of IRS auxiliary wireless communication system in direction modulation
CN114826835B (en) * 2022-03-31 2024-05-07 南京理工大学 Interference covariance matrix estimation method of IRS auxiliary wireless communication system in direction modulation
CN115515100A (en) * 2022-09-19 2022-12-23 西北工业大学 RIS-UAV-based passive beam position optimization method, system, medium and equipment

Also Published As

Publication number Publication date
CN112073102B (en) 2022-04-08

Similar Documents

Publication Publication Date Title
CN112073102B (en) Intelligent reflecting surface assisted safe communication method and device
CN111294096B (en) Channel capacity optimization method of intelligent reflector MISO wireless communication system
Chen et al. Sum-rate maximization for intelligent reflecting surface based terahertz communication systems
Huang et al. Uplink massive access in mixed RF/FSO satellite-aerial-terrestrial networks
CN112290995B (en) Beam design method based on safety energy efficiency in satellite-ground integrated network
CN111464223B (en) Active intelligent reflection surface auxiliary communication system
CN112073107A (en) Multi-group and multicast combined beam forming algorithm design based on intelligent reflecting surface
CN113556164B (en) Energy efficiency priority-based beam forming optimization method in IRS-assisted SWIPT system
Lin et al. Pain without gain: Destructive beamforming from a malicious RIS perspective in IoT networks
US7248897B2 (en) Method of optimizing radiation pattern of smart antenna
CN110535518B (en) Optimization design method for wide beam transmission beam forming
Majidzadeh et al. Partially connected hybrid beamforming for large antenna arrays in multi-user MISO systems
CN115484607A (en) RIS assisted SWIPT wireless system secure communication method
Jiang et al. Dual-beam intelligent reflecting surface for millimeter and THz communications
CN116566444A (en) MISO wireless energy-carrying communication system energy efficiency maximization method based on IRS assistance
Ahmadi et al. Reinforcement learning for optimized beam training in multi-hop terahertz communications
Li et al. Low-band information and historical data aided non-uniform millimeter wave beam selection algorithm in 5G-R high-speed railway communication scene
Hu et al. Multi-intelligent reflecting surface assisted cell-free massive mimo downlink transmission
Cao et al. Multiple reconfigurable intelligent surfaces assisted anti-jamming for aerial-ground communication
CN114584994A (en) Beam forming and power distribution method and device for satellite-ground integrated communication network
Wang et al. A two-stage hybrid beamforming design for full-duplex mmWave communications
CN114448479A (en) Massive MIMO (multiple input multiple output) safe transmission optimization method based on antenna selection
Yang et al. RIS-aided constant-envelope beamforming for multiuser wireless power transfer: A max-min approach
CN111263363A (en) High-strength safe transmission method
Darwesh et al. Achievable secrecy rate analysis in mmWave ad hoc networks with multi‐array antenna transmission and artificial noise

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant