CN111405577A - Antenna position layout method for full-duplex cognitive radio - Google Patents
Antenna position layout method for full-duplex cognitive radio Download PDFInfo
- Publication number
- CN111405577A CN111405577A CN202010131295.1A CN202010131295A CN111405577A CN 111405577 A CN111405577 A CN 111405577A CN 202010131295 A CN202010131295 A CN 202010131295A CN 111405577 A CN111405577 A CN 111405577A
- Authority
- CN
- China
- Prior art keywords
- antenna
- optimal
- formula
- electric field
- determining
- 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
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/14—Two-way operation using the same type of signal, i.e. duplex
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses an antenna position layout method for recognizing radio by full duplex, which comprises the following steps: s1, deducing the performance of the antenna under each channel and relevant shadow; s2, analyzing the influence of path loss and main user position distribution on the sensing performance of the antenna spectrum; s3, determining the optimal antenna position according to the criterion of minimizing the perception error probability; the determination of the optimal position of the transmitting antenna specifically comprises the following steps: p1, calculating the electric field intensity of the double antenna arrays; p2, the optimal antenna position is determined with the goal of maximizing the electric field strength. The invention provides the method for determining the optimal position of the receiving antenna, optimizes the antenna position layout of the full-duplex cognitive network, improves the operation quality of the cognitive radio network, and has important academic and market values.
Description
Technical Field
The invention relates to simultaneous co-frequency full duplex communication of cognitive radio, in particular to antenna position layout of full duplex cognitive radio, and belongs to the technical field of communication.
Background
Radio resources are a natural asset of all mankind. Radio resources are not a renewable common resource. The limitation of radio resources is becoming more apparent today with the increasing development of mobile communication technology. With the updating of the technology, various radio application technologies are in the inky arena, and the originally intense competition degree of radio resources is also aggravated, so that the scarcity of the radio resources is more obvious, and simultaneously, the utilization of the radio resources in various countries is promoted more efficiently.
The radio spectrum is a substance that is actually present in nature and is also an electromagnetic wave. Electromagnetic waves are a magic invisible and inaccessible natural resource which can be used by human beings. Due to the limitation of current scientific technology, human beings cannot develop and utilize electromagnetic waves in ultra-high frequency band at present, so that radio spectrum resources are precious and cannot be copied at present. The method has the scarcity that any user occupies a certain frequency band under certain time, place and space conditions, and the use of the frequency band by other users in the time, place and space is excluded.
Cognitive radio is an important approach to addressing spectrum scarcity. In the cognitive radio dynamic spectrum access strategy, a system for allocating spectrum resources has the ability of learning and interacting with the external environment. A frequency band is assigned to one or more Primary Users (PUs) that have priority access to the frequency band. When the primary user does not use the frequency band or the influence on the primary user when other users (SU) use the frequency band is acceptable, the secondary users can share the frequency band resource. In this way, the utilization of the spectrum can be significantly improved.
In the conventional cognitive field, a communication device or system usually adopts time division duplex or frequency division duplex, wherein the time division duplex uses the division of time slots to distinguish uplink from downlink, and the frequency division duplex uses the division of frequency bands to distinguish uplink from downlink. The traditional duplex mode is not efficient enough for spectrum resource utilization.
In order to further improve the spectrum utilization efficiency and improve the inherent defect that the spectrum utilization efficiency of the traditional duplex communication is not high, researchers at home and abroad put forward the concept of full duplex in recent years. Full duplex means that the same frequency is used for receiving and transmitting simultaneously, time slots or frequency bands are not required to be divided for distinguishing receiving and transmitting, and compared with a traditional duplex communication mode, the full duplex theoretically improves the frequency spectrum utilization efficiency by one time.
The full-duplex communication is integrated into the cognitive radio network, so that not only can the spectrum efficiency be improved, but also the secondary user has the spectrum sensing capability while transmitting data. The cognitive radio technology and the full-duplex technology play different roles in improving the utilization rate of frequency spectrum resources, so that the combination of the cognitive radio technology and the full-duplex technology has important value.
The layout of the antenna positions influences the network operation quality to a certain extent, so that the optimization of the layout of the antenna positions has important significance for improving the system network quality.
The present invention mainly focuses on the two aspects of the antenna layout of a cellular cell and the antenna position optimization of a distributed antenna, the position optimization of the antenna of the cellular cell is researched by documents, under the condition that the cellular cells are arranged on a street in order, the conclusion that the optimal antenna position is in the middle of the road and at the corners of the street is obtained under the condition that a plurality of L OS paths exist in a coverage area as judgment conditions, the antenna position optimization of a linear cell distributed antenna is also researched by documents, the distributed antenna layout is carried out by using the principle of minimum cell average bit error rate, the conclusion that the antenna should be distributed by using cell center symmetry is obtained, the document [9] researches the optimal antenna position of a circular cell, the optimal circular radius is analyzed by optimizing multiple users and speed, so as to obtain the optimal antenna position distribution, the document provides a square distance design method, the distance algorithm is provided by using the principle of maximum average channel capacity for the circular distributed antenna cell, the position optimization of the distributed antenna in the emission selection is also provided by the criterion of maximum cell average distance, the traversal rule is provided, and the corresponding traversal method for the distributed antenna is not provided.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an antenna position layout method for full-duplex cognitive radio, which optimizes the antenna position layout of a full-duplex cognitive network and improves the operation quality of the cognitive radio network, aiming at the defects of the prior art.
The technical scheme is as follows: the invention relates to an antenna position layout method of full duplex cognitive radio, main users are uniformly distributed in a cell with radius R,
the determination of the optimal position of the receiving antenna comprises the following steps:
s1, deducing the performance of the antenna under each channel and relevant shadow;
s2, analyzing the influence of path loss and main user position distribution on the sensing performance of the antenna spectrum;
s3, determining the optimal antenna position according to the criterion of minimizing the perception error probability;
the determination of the optimal position of the transmitting antenna specifically comprises the following steps:
p1, calculating the electric field intensity of the double antenna arrays;
p2, the optimal antenna position is determined with the goal of maximizing the electric field strength.
The technical scheme of the invention is further defined in that the determining step of the optimal position of the receiving antenna of the secondary user specifically comprises the following steps:
s1, the energy detector measures the energy of the received signal in a detection interval to obtain the average false negative probability of the composite Rayleigh-shadow channel
In the formula (3-3-13),is the average signal-to-noise ratio, ξ010/ln (10), (dB) is the standard deviation of 10log ω, T is the energy detector threshold, the detection interval of N samples, in the formula (3-3-9), (a, x) is an incomplete gamma function;
s2, according to the system model, the primary users are uniformly distributed in the circle with radius R, and the position set can be expressed as a set C { (x, y) | x2+y2≤R2And R is the radius of the cell, the receiving antenna of the secondary user is positioned on a hyperbolic curve in the circle, and the probability density function of the position of the primary user is averaged to obtain the area average probability of missing report:
in the formula (3-4-6), σ2Is the noise variance, Es is the energy of the transmitted signal during the detection time interval,a constant determined for the antenna characteristics and the average attenuation,η is the path loss coefficient;
s3, determining the optimal antenna position by using the criterion of minimizing the perception error probability:
position of secondary user receiving antennaDetermined by the hyperbola on which the secondary user receiving antenna is located, wherein,c is half of the distance between the two transmitting antennas, n is the multiple of odd times and half of the wavelength of the distance between the two transmitting antennas and the receiving antenna,
the optimal receive antenna position can be described as:
formula (3-4-7) optimal solution (x)0,y0)*Can be obtained from convex optimization.
Further, in the dual antenna array, the antenna 1 and the antenna 2 are relatively close and have the same orientation, a binary array formed by two symmetrical antennas which are oriented along the z axis and arranged along the x axis has a distance of 2d, the observation point P is far away from the center of the array, and the coordinate is P (r1, θ, Φ), then the determination step of the optimal position of the transmitting antenna specifically is:
p1, mode value of the resultant field intensity of observation point P:
wherein, I1Is the excitation current of the antenna 1;omega is the angular frequency of electromagnetic wave, mu is a constant determined by a conductive medium, l is the effective length of the antenna, m is the amplitude ratio of the excitation currents of the two array elements, phi is ξ +2kdsin theta cos phi, ξ is the phase difference of the excitation currents of the two array elements;
p2 considering only the electric field strength on the xoy plane,due to the limitation of the cognitive radio conditions,
ξ ═ 0 and m ═ 1, then Ψ ═ 2kdcos Φ, so that the mode value of the resultant field strength of point P is observed:
in the formula (4-3-1), r is far enough to ensure that the observation point P is far enough1Setting 10 × 2d to 20d, and setting phi to be (0,2 pi);
In the formula (4-3-2), the optimal d value is solved only by maximizing the integral part;
In the formula (4-3-6),omega, mu, respectively the electromagnetic wave frequency, the magnetic permeability and the dielectric constant of the propagation medium;
taking out in vacuum environmentAnd k is>>1, then(4-3-7) in the formula (4-3-7)Within the interval, monotonically increasesMonotonically decreasing in the interval, so that when the frequency of the electromagnetic wave transmitted from the base station using the 4G technology is substantially 2000MHzThe optimum position of the two transmitting antennas is obtained.
Has the advantages that: the invention provides an antenna position layout method for full-duplex cognitive radio, which provides an optimal position determination method for a receiving antenna, optimizes the antenna position layout of a full-duplex cognitive network, improves the operation quality of the cognitive radio network and has important academic and market values. .
Drawings
FIG. 1 is an antenna distribution model (PU indicates primary user);
FIG. 2 electric field strength for dual antenna arrays;
FIG. 3 is a simplified dual antenna array model;
FIG. 4 shows simulation results of total energy radiated by the antenna at low frequency;
fig. 5 shows simulation results of total energy radiated by the antenna at high frequency.
Detailed Description
The technical solution of the present invention is described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the embodiments.
Example 1: the invention provides an antenna position layout method for recognizing radio by full duplex, which comprises the steps of firstly providing an optimal position determining method for a receiving antenna and then providing an optimal position determining method for a transmitting antenna.
Firstly, the determination of the optimal position of the receiving antenna comprises the following steps:
the determination of the optimal position of the receiving antenna comprises the following steps:
s1, deducing the performance of the antenna under each channel and relevant shadow;
s2, analyzing the influence of path loss and main user position distribution on the sensing performance of the antenna spectrum;
and S3, determining the optimal antenna position by using the criterion of minimizing the perception error probability.
The specific process is as follows:
the relationship of three antenna positions is shown in fig. 1, where primary users are evenly distributed in a cell with radius R. The PU represents the primary user.
The condition for suppressing self-interference by antenna position can be reasonably assumed: assuming that two transmitting antennas are located at two focuses of a hyperbola, the positions are (-c, 0) and (c, 0), respectively, and self-interference suppression conditions are known from the antenna positions, and when the odd multiple of the half wavelength n is determined, the receiving antenna is on the hyperbola determined by the two focuses to satisfy the conditions of the antenna positions required for self-interference suppression.
Assuming that the receiving antenna position is (x0, y0), the following relationship is satisfied:
wherein 2a is defined by hyperbola and the condition that the antenna position restrains self-interference, namely the difference between two transmitting antennas and the receiving antenna is obtained by odd times of half wavelength:
the following can be obtained:
b can be determined from the hyperbolic definition:
the secondary user received signal may be expressed as:
wherein: s (k) is the target signal to be detected. The signal is affected by the complex channel gain h and zero-mean additive white gaussian noise n (k), which is the communication channel from the cell site to the receiving antenna. Binary hypothesis H0And H1Respectively, indicates the absence and presence of a target signal from a cell base station.
S1, deducing the performance of the antenna under each channel and relevant shadow
The energy detector is used for measuring the energy of the received signal in an observation interval. The measured energy is compared to a predetermined threshold to determine the presence or absence of a primary user. In the detection interval of N samples, the false alarm probability, the detection probability and the false negative probability of the energy detector under the AWGN channel condition are respectively as follows:
Pm=1-Pd(3-2-3)
where T and γ are the energy detection threshold and signal-to-noise ratio, respectively, (a, x) is the incomplete gamma function. The probability expression of false negatives can be further obtained:
wherein
In a cell environment with more buildings, the signal is blocked by the buildings, and the signal is attenuated due to the shadow effect. Also, due to the presence of many buildings, there are many paths for the signal to reach the receiving antenna, and the signal is subject to rayleigh fading. This section therefore studies the energy detection performance under the complex rayleigh-shadowing channel. Since the false alarm probability Pf is independent of the signal-to-noise ratio, we will focus on the false-positive probability.
The probability density function of γ under the rayleigh channel is:
The probability density function of the shadows follows a log-normal distribution [21 ]:
wherein, ξ010/ln (10), (dB) is the standard deviation of 10log ω.
Thus, the probability density function of γ under the composite rayleigh-shaded channel is:
correspondingly, the average false-positive probability of the composite rayleigh-shadow channel is:
after equivalence:
in view of
In the high signal-to-noise ratio region, equation (3-3-6) can be simplified to:
from equation (3-2-5) we can see:
wherein:
thus, the formula (3-3-4) can be rewritten as:
according to the formula (3-3-2) there are:
wherein:
and has the following components:
the formula (3-3-10), the formula (3-3-11) and the formula (3-3-12) can be synthesized to obtain:
s2, analyzing the influence of path loss and main user position distribution on the antenna spectrum sensing performance
According to the system model, the primary users are uniformly distributed in a circle with the radius of R, and the position set can be expressed as a set C { (x, y) | x2+y2≤R2R is the cell radius. The secondary user receiving antenna is positioned on a hyperbolic line in the circle, and the distance between the secondary user receiving antenna and the primary user is as follows:
the primary and secondary user receive antenna path losses L may be expressed as:
L=ζD-η(3-4-2)
whereinA constant determined for the antenna characteristics and average attenuation, η is the path loss coefficient.
The master users obey uniform distribution, and the probability density is as follows:
considering the effect of path loss, the average signal-to-noise ratio in equation (3-3-15) is expressed as:
wherein sigma2As a variance of the noise, EsThe expression is that the energy of the sending signal in the detection time interval is:
averaging the probability density functions of the false positive probability formula given by (3-3-12) at the PU position to obtain the area average false positive probability:
s3, determining the optimal antenna position by using the criterion of minimizing the perception error probability
Position of receiving antennaDetermined by a hyperbola, c is half the distance between the two transmitting antennas, and the value of a is determined by the formula (3-1-3). The optimal receive antenna position can be described as:
optimal solution (x)0,y0)*Can be obtained from convex optimization.
According to the convex optimization theory, the optimal position of the receiving antenna is the intersection point of the hyperbola and the abscissa.
Secondly, the determination of the optimal position of the transmitting antenna comprises the following steps:
p1, calculating the electric field intensity of the double antenna arrays;
p2, the optimal antenna position is determined with the goal of maximizing the electric field strength.
The specific process is as follows: the specific process is as follows:
and in the range with the radius R, determining the optimal transmitting antenna position according to the maximum standard of the average power of the electromagnetic waves transmitted by the two antennas.
The initial energy of the electromagnetic wave excited by the antenna is determined by the antenna and its input power. When energy leaves the antenna in the form of electromagnetic waves and enters free space, the electromagnetic waves excited by the two antennas generate phenomena such as interference, the study on the change of the power of the electromagnetic waves along with the space position becomes difficult, and the average poynting vector can be used for replacing the power. The average poynting vector is a physical quantity describing the flow of electromagnetic energy in an electromagnetic field, in Wm2The formula is
In a homogeneous conducting medium, the electric fieldAnd a magnetic fieldThe Helmholtz equation satisfied is:
in the formula:
wherein the ratio of mu to mu is,care all constants determined by the conductive medium. In discussing the propagation of electromagnetic waves in a conductive medium, equation (4-1-2) is generally rewritten as:
wherein:
assuming that the electromagnetic wave is a uniform plane wave propagating along the + Z-axis direction and the electric field has only an Ex component, the solution of equation (4-1-4) is:
since γ is a complex number, let γ be α + j β, put into the above equation:
in the formula e-αzThe factor representing the amplitude of the electric field exhibits an exponential decay with increasing propagation distance z is called decay factor α, which is called decay constant, with the unit Np/m.e-jβzThe factor is a phase factor, β is called the phase constant, and has the unit of rad/m.
The instantaneous values corresponding to equations (4-1-7) are in the form:
and obtaining a magnetic field expression of the electromagnetic wave by using Maxwell equations. ByThe magnetic field strength in the conductive medium can be found as follows:
in the formula:
is the intrinsic impedance of the conductive medium. From the formula (4-1-9), the relationship satisfied between the complex vector of the magnetic field strength and the complex vector of the electric field strength is:
in a conductive medium, the average poynting vector is:
where phi is the initial phase of the electromagnetic wave. It can be seen that the magnitude of the average poynting vector is only related to the square of the modulus of the electric field intensity, i.e., the magnitude of the modulus of the electric field intensity can indicate the magnitude of the power of the electromagnetic wave.
P1 calculating electric field intensity of dual antenna array
The antenna array is shown in figure 2, and the two antennas are close to each other and are uniformly oriented. Two symmetrical antennas oriented along the z-axis and arranged along the x-axis form a binary array with a spacing of 2 d. Let the excitation current of the antenna 1 (array element 1) be I1Then, the excitation current of the antenna 2 (array element 2) is:
I2=mI1ejξ(4-2-1)
where m is the amplitude ratio of the two array element excitation currents, and ξ is the phase difference between the two array element excitation currents.
Since the observation point P is far away from the center of the array, the radius can be approximately consideredRadius of vectorParallel. So that the electric fields generated by the array elements at the observation points are all alongThe direction, namely:
whereinω is the angular frequency of the electromagnetic wave, μ, a constant determined by the conductive medium. In the formula:
where l is the effective length of the antenna.
In addition, as long as the observation point is far enough, there is an approximation as follows:
therefore, the formula (4-2-2) can be rewritten as:
where Ψ is ξ +2kdsin θ cos φ, representing the electric field at observation point PAndincluding the phase difference ξ of the excitation currents of the two array elements and the phase difference caused by the wave path difference caused by the radiation of the two array elements.
The resultant field for observation point P is therefore:
taking a die:
p2, determining the best antenna position with the goal of maximizing the electric field strength
Considering that the whole space is too complicated, only the electric field intensity on the xoy plane is considered, as shown in FIG. 3, thenDue to cognitive radio condition restrictions, ξ ═ 0 and m ═ 1, then according to the formula Ψ ═ ξ + kdsin θ cos Φ,when Ψ is 2kdcos Φ, the mode of the electric field strength is:
at this time, finding the optimum position of the two antennas becomes a value of 2d in which the average of the squares of the modes of the electric field intensity in a circle having a center at (d,0) and a radius at R, which is a constant value, is the maximum criterion.
In the actual environment, d<<R, so R1Upper limit of (d + R ≈ R). In addition, to ensure that the observation point P is far enough to satisfy the above formula establishment condition, r1The lower limit of (d) is set to 10 × 2d to 20d, and the range of (0,2 pi).
If the optimal distance is D, the problem can be expressed as:
Note that the denominator part in equation (4-3-2) is constant, so only the integral part needs to be maximized to be the optimal d value.
the first two terms are taken as approximations, thus obtaining
Substituting B ═ 2kd into the above formula to give
Wherein the content of the first and second substances,omega, mu, respectively, frequency of electromagnetic wave, permeability and permittivity of propagation medium, noting that under vacuum conditionsThe frequency of electromagnetic wave emitted by the base station using the 4G technology is basically about 2000MHz, so k>>1, thereby further simplifying the formula (4-3-6). Due to k>>1,k4The influence of (c) is much larger than the constant term and the square term, so it can be simplified as:
formula (4-3-7) inWithin the interval, monotonically increasesMonotonically decreasing in the interval, so that the function K (d) is at a frequency of around 2000MHzTaking a maximum value in the vicinity, i.e. whenThe two transmitting antennas have the best position.
The method is applied to a specific scene, and double transmitting antennas with the same power and the same phase are considered. The antenna effective current i is 1A, the antenna effective length l is 5m, and the cell radius is 100 m. As can be seen from fig. 4 and 5, the transmitting antenna is optimally positionedThe neighborhood was taken to be 3 × 100/80 — 3.75m, i.e., the point where the average energy was the largest was indeed around 3.75 m.
All curves fall first and then rise and fall no matter how high or low the frequency is. The reason the curve initially trended downward is that the two antennas were too close. When d is 0, the two antennas are superposed, and the average energy of the whole cell is the highest at this time; as the antenna moves away, a significant portion is cancelled out due to the interference of electromagnetic waves and the energy received by the cell drops dramatically. The first curve will exhibit a downward trend;
the reason for the curve rising is then that the distance between the two antennas is relatively modest, the cell is able to receive the energy of both antennas, and the interference effect is not strong. When the distance between the two antennas is proper, the emitted electromagnetic wave is absorbed by the environment of the cell before interference, and the phenomena that most of the electromagnetic wave is counteracted and a small part of the electromagnetic wave is absorbed by the environment when the two antennas are too close to each other are avoided. Therefore, the second curve will slowly rise to the optimal position;
the reason for the slow decline of the curve is then that the two antennas miss the optimum position. Although the interference effect of the electromagnetic wave is weaker than that of the previous stage and most of the energy is absorbed by the environment, the energy of the electromagnetic wave is weaker when reaching the cell environment, so that the total energy obtained by the cell environment begins to decrease finally;
the reason why the curve is sharply decreased is that the distance between the two antennas is too far, the energy radiated by the antennas is very weak when reaching the environment of the cell, and the energy radiated by the antennas is inversely proportional to the square of the distance, so the curve is very fast to decrease.
The lowest point position on the left side of the curve is analyzed. The lowest point of the low frequency group curve is approximately within the range of 0.5-1, and the high frequency group curve is within the range of 0-0.5. Can be explained by the formula (4-3-6). The formula (4-3-6) is as follows:
in the actual simulation case, k >1 is always true. When 0< d <1, the first and second terms mainly act in the low frequency case, the first term is large, and the second term is small in the low frequency (k is just larger than 1), so the final value is relatively large; the frequency continues to increase (the magnitude of k is not sufficient to offset the effect of the cube of d), still giving priority to the first and second terms, but the second term is larger than before, so the final value is smaller and the graph conforms to equation (4-3-6).
As noted above, while the present invention has been shown and described with reference to certain preferred embodiments, it is not to be construed as limited thereto. Various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (3)
1. A method for recognizing antenna position of radio in full duplex mode features that the primary users are uniformly distributed in the cell with radius R,
the determination of the optimal position of the receiving antenna comprises the following steps:
s1, deducing the performance of the antenna under each channel and relevant shadow;
s2, analyzing the influence of path loss and main user position distribution on the sensing performance of the antenna spectrum;
s3, determining the optimal antenna position according to the criterion of minimizing the perception error probability;
the determination of the optimal position of the transmitting antenna specifically comprises the following steps:
p1, calculating the electric field intensity of the double antenna arrays;
p2, the optimal antenna position is determined with the goal of maximizing the electric field strength.
2. The method as claimed in claim 1, wherein the step of determining the optimal position of the receiving antenna of the secondary user comprises:
s1, the energy detector measures the energy of the received signal in a detection interval to obtain the average false negative probability of the composite Rayleigh-shadow channel
In the formula (3-3-13),is the average signal-to-noise ratio, ξ010/ln (10), (dB) is the standard deviation of 10log ω, T is the energy detector threshold, the detection interval of N samples,(3-3-9), wherein (a, x) is an incomplete gamma function in the formula (3-3-9);
s2, according to the system model, the primary users are uniformly distributed in the circle with radius R, and the position set can be expressed as a set C { (x, y) | x2+y2≤R2And R is the radius of the cell, the receiving antenna of the secondary user is positioned on a hyperbolic curve in the circle, and the probability density function of the position of the primary user is averaged to obtain the area average probability of missing report:
in the formula (3-4-6), σ2As a variance of the noise, EsTo transmit the energy of the signal during the detection time interval,a constant determined for the antenna characteristics and the average attenuation,η is the path loss coefficient;
s3, determining the optimal antenna position by using the criterion of minimizing the perception error probability:
position of secondary user receiving antennaDetermined by the hyperbola on which the secondary user receiving antenna is located, wherein,c is half of the distance between the two transmitting antennas, n is the multiple of odd times and half of the wavelength of the distance between the two transmitting antennas and the receiving antenna,
the optimal receive antenna position can be described as:
optimal solution (x) of formula (3-4-7)0,y0)*Can be obtained from convex optimization.
3. The method as claimed in claim 2, wherein in the dual antenna array, the antenna 1 and the antenna 2 are close and uniformly oriented, the distance between the two symmetric antennas is 2d, the observation point P is far from the center of the array, and the coordinates are P (r1, θ, Φ), the step of determining the optimal position of the transmitting antenna is specifically:
p1, mode value of the resultant field intensity of observation point P:
wherein, I1Is the excitation current of the antenna 1;omega is the angular frequency of electromagnetic wave, mu is the constant determined by conductive medium, l is the effective length of antenna, m is the amplitude ratio of two array element exciting currents, psi is ξ +2kd sin theta cos phi, ξ is two array element exciting currentsThe phase difference of (a);
p2 considering only the electric field strength on the xoy plane,due to cognitive radio condition constraints, ξ ═ 0 and m ═ 1, then Ψ ═ 2kdcos Φ, so the modulus of the resultant field strength of observation point P:
in the formula (4-3-1), r is far enough to ensure that the observation point P is far enough1Setting 10 × 2d to 20d, and setting phi to be (0,2 pi);
In the formula (4-3-2), the optimal d value is solved only by maximizing the integral part;
In the formula (4-3-6),omega, mu, respectively the electromagnetic wave frequency, the magnetic permeability and the dielectric constant of the propagation medium;
taking out in vacuum environmentAnd k is>>1, then(4-3-7) in the formula (4-3-7)Within the interval, monotonically increasesMonotonically decreasing in the interval, so that when the frequency of the electromagnetic wave transmitted from the base station using the 4G technology is substantially 2000MHzThe optimum position of the two transmitting antennas is obtained.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010131295.1A CN111405577B (en) | 2020-02-28 | 2020-02-28 | Antenna position layout method of full-duplex cognitive radio |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010131295.1A CN111405577B (en) | 2020-02-28 | 2020-02-28 | Antenna position layout method of full-duplex cognitive radio |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111405577A true CN111405577A (en) | 2020-07-10 |
CN111405577B CN111405577B (en) | 2023-01-31 |
Family
ID=71413893
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010131295.1A Active CN111405577B (en) | 2020-02-28 | 2020-02-28 | Antenna position layout method of full-duplex cognitive radio |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111405577B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102625326A (en) * | 2012-03-22 | 2012-08-01 | 浙江大学 | Method and device for multicell joint optimization under coverage of cellular mobile communication network |
CN104899374A (en) * | 2015-06-05 | 2015-09-09 | 江苏科技大学 | Method for synthesizing directional diagrams of linear antenna arrays on basis of wavelet mutation wind drive optimization algorithms |
CN108182336A (en) * | 2018-02-05 | 2018-06-19 | 西安电子科技大学 | The computational methods of phased array antenna directional diagram under plasma sheath |
-
2020
- 2020-02-28 CN CN202010131295.1A patent/CN111405577B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102625326A (en) * | 2012-03-22 | 2012-08-01 | 浙江大学 | Method and device for multicell joint optimization under coverage of cellular mobile communication network |
CN104899374A (en) * | 2015-06-05 | 2015-09-09 | 江苏科技大学 | Method for synthesizing directional diagrams of linear antenna arrays on basis of wavelet mutation wind drive optimization algorithms |
CN108182336A (en) * | 2018-02-05 | 2018-06-19 | 西安电子科技大学 | The computational methods of phased array antenna directional diagram under plasma sheath |
Non-Patent Citations (2)
Title |
---|
周娟: "视觉认知无线电位置优化关键技术研究", 《中国博士学位论文全文数据库(电子期刊)》 * |
李熠辉: "天线阵列在定位中的应用", 《HTTPS://WENKU.BAIDU.COM/VIEW/C19ADAF00066F5335B812124?FR=UC》 * |
Also Published As
Publication number | Publication date |
---|---|
CN111405577B (en) | 2023-01-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CA2358028C (en) | Path loss data normalization for growth management of a cellular system | |
Peng et al. | An effective coverage scheme with passive-reflectors for urban millimeter-wave communication | |
CN112911505A (en) | Frequency-adaptive wheelchair indoor positioning method | |
JP7282385B2 (en) | Radio wave monitoring device and radio wave monitoring method | |
Muhammad et al. | Uplink performance analysis for millimeter wave cellular networks with clustered users | |
CN115694581A (en) | Satellite-ground integrated network user terminal access optimization method based on assistance of intelligent reflecting surface | |
Bellary et al. | Analysis of wave propagation models with radio network planning using dual polarized MIMO antenna for 5G base station applications | |
CN111405577B (en) | Antenna position layout method of full-duplex cognitive radio | |
Razavi et al. | Optimization an anechoic chamber with ray-tracing and genetic algorithms | |
Zhao et al. | Downlink ergodic capacity analysis for wireless networks with cooperative distributed antenna systems | |
Imai et al. | Proposal on RIS scattering model based on physical-optics approximation | |
Rao et al. | Cooperative spectrum sensing over non-identical nakagami fading channels | |
CN113596760A (en) | Wireless self-organizing network adjacent node discovery method for electric power construction site | |
Al-Dabbagh et al. | Performance comparison of exploiting different millimetre-wave bands in 5G cellular networks | |
US20230344495A1 (en) | Method for allocating radio signal transmission frequencies between one or more communication entities, allowing a reduction in interferences between the communication entities using the same frequency channel | |
Zhang et al. | RAU allocation for secondary users in cognitive WLAN over fiber system: a HMM approach | |
Achimugu et al. | An Optimized Half Wave Dipole Antenna for the Transmission of WiFi and Broadband Networks | |
CN210723353U (en) | Millimeter wave receiving antenna | |
CN106507381B (en) | Vertical sector splitting method and base station | |
CN104617997B (en) | Multiple cell MIMO Signal with Distributed Transmit Antennas base station side antenna port method for optimizing position | |
Han et al. | Intelligent Reflecting Surface Enabled in D2D Millimeter Wave Communication | |
CN114389660B (en) | Transmission method containing spherical wave characteristics in super-large-scale MIMO | |
Yelizarov et al. | Monitoring of RF-Field Strength in the Environment by Mobile Telecommunications in the Moscow | |
Uchida et al. | An estimation method for amplitude modification factor using floor area ratio in urban areas | |
Pu et al. | Estimation for Small-Scale Fading Characteristics of RF Wireless Link Under Railway Communication Environment Using Integrative Modeling Technique. |
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 |