CN117134810A - Control method and device for data information transmission - Google Patents
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- 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
- H04B7/0619—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 using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0623—Auxiliary parameters, e.g. power control [PCB] or not acknowledged commands [NACK], used as feedback information
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- 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
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- 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
- H04B7/0619—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 using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
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- 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
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Abstract
The application discloses a control method and a device for data information transmission, which are characterized in that a transmission channel vector and a downlink beam forming vector of a NOMA downlink system are determined according to a transmission signal relation of the NOMA downlink system, an antenna power constraint relation is constructed according to the downlink beam forming vector by combining a preset multidimensional identity matrix and an antenna given power upper limit value, and a user transmission quality constraint relation is constructed according to a transmission channel vector and the downlink beam forming vector and a user transmission quality calculation formula and a preset transmission quality lower limit value; according to the antenna power constraint relation and the user transmission quality constraint relation, a NOMA downlink beam forming model with each antenna power constraint and transmission quality constraint is constructed, and power control is carried out on each antenna of the NOMA downlink system, so that base station power minimization control considering each antenna power and transmission quality is realized, and the service life of a base station is effectively prolonged.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for controlling data information transmission.
Background
In recent years, the transmission of information has made more and more stringent demands on power. In multi-user systems, the effective utilization of Non-orthogonal multiple access beamforming technology has become more and more popular because of its features of improving spectrum efficiency, user fairness, and system throughput, NOMA (Non-Orthgonal Multiple Access, non-orthogonal multiple access) has become an important radio access technology, and is suitable for the fifth generation (5G) wireless network.
Most of the antenna structures of base stations now generally comprise a plurality of antennas, which provide communication services for a certain area, and the main function of the base station antennas is to provide wireless coverage, i.e. to realize wireless signal transmission between a communication network and a wireless terminal. However, in the actual use process, a technical formula with a lower service life is commonly found in the base station currently applied to the 5G communication and other high concurrency scenes.
Disclosure of Invention
The application provides a control method and a device for data information transmission, which are used for solving the technical formula that the service life of a base station in the existing high concurrency scene is generally lower.
In order to solve the above technical problem, a first aspect of the present application provides a control method for data information transmission, including:
determining a transmission signal relation of a NOMA downlink system according to a communication architecture of the NOMA downlink system, wherein the transmission signal relation comprises: a transmission signal relation of the antenna end and a receiving signal relation of the user;
determining a transmission channel vector and a downlink beam forming vector of the NOMA downlink system according to the transmission signal relation;
according to the downlink beam forming vector, combining a preset multidimensional identity matrix and an antenna given power upper limit value to construct an antenna power constraint relation, wherein the number of dimensions of the multidimensional identity matrix corresponds to the number of antennas of the NOMA downlink system;
constructing a user transmission quality constraint relation according to the transmission channel vector and the downlink beam forming vector, a user transmission quality calculation formula and a preset transmission quality lower limit value;
and constructing a NOMA downlink beam forming model according to the antenna power constraint relation and the user transmission quality constraint relation so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model.
Preferably, the NOMA downlink beamforming model is specifically:
wherein w is m Is a downlink beamforming vector and,transpose of downlink beamforming vector, e k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
Preferably, the method further comprises:
giving a feasible solution to the NOMA downlink beam forming model based on the NOMA downlink beam forming model, assigning a value to an objective function by the feasible solution, and updating an antenna power constraint relation in the model to obtain a second downlink beam forming model;
and based on the second downlink beam forming model, solving the second downlink beam forming model by using an approximation algorithm to obtain a new antenna given power upper limit value according to the solution, and updating the antenna given power upper limit value of the NOMA downlink beam forming model.
Preferably, the method further comprises:
converting the NOMA downlink beamforming model into a separable secondary constraint form based on the NOMA downlink beamforming model;
initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and according to the NOMA downlink beam forming model and the beam forming vector sequence, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beam forming model through SOCP approximate iterative optimization logic, and obtaining an optimized NOMA downlink beam forming model when the output of the NOMA downlink beam forming model meets a preset convergence condition.
Preferably, the optimized NOMA downlink beamforming model is specifically:
n≤m≤M,1≤n≤M
where l is the number of iterations, w, of the beamforming vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in said NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
Meanwhile, a second aspect of the present application provides a control device for data information transmission, including:
a system transmission signal relation determining unit, configured to determine a transmission signal relation of a NOMA downlink system according to a communication architecture of the NOMA downlink system, where the transmission signal relation includes: a transmission signal relation of the antenna end and a receiving signal relation of the user;
a signal feature extraction unit, configured to determine a transmission channel vector and a downlink beamforming vector of the NOMA downlink system according to the transmission signal relation;
an antenna power constraint relation construction unit, configured to construct an antenna power constraint relation by combining a preset multidimensional identity matrix and an antenna given power upper limit value according to the downlink beam forming vector, where the number of dimensions of the multidimensional identity matrix corresponds to the number of antennas of the NOMA downlink system;
a transmission quality constraint relation construction unit, configured to construct a user transmission quality constraint relation according to the transmission channel vector and the downlink beam forming vector, and a user transmission quality calculation formula and a preset transmission quality lower limit value;
and the beam forming model building unit is used for building a NOMA downlink beam forming model according to the antenna power constraint relation and the user transmission quality constraint relation so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model.
Preferably, the NOMA downlink beamforming model is specifically:
wherein w is m Is a downlink beamforming vector and,transpose of downlink beamforming vector, e k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
Preferably, the method further comprises:
and the antenna power upper limit value optimizing unit is used for giving a feasible solution to the NOMA downlink beam forming model based on the NOMA downlink beam forming model, assigning an objective function to the feasible solution, updating an antenna power constraint relation in the model to obtain a second downlink beam forming model, solving the second downlink beam forming model by using an approximation algorithm based on the second downlink beam forming model to obtain a new antenna given power upper limit value according to the solution, and updating the antenna given power upper limit value of the NOMA downlink beam forming model.
Preferably, the method further comprises: a beam forming model optimizing unit, configured to:
converting the NOMA downlink beamforming model into a separable secondary constraint form based on the NOMA downlink beamforming model;
initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and according to the NOMA downlink beam forming model and the beam forming vector sequence, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beam forming model through SOCP approximate iterative optimization logic, and obtaining an optimized NOMA downlink beam forming model when the output of the NOMA downlink beam forming model meets a preset convergence condition.
Preferably, the optimized NOMA downlink beamforming model is specifically:
n≤m≤M,1≤n≤M
where l is the number of iterations, w, of the beamforming vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in said NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
From the above technical scheme, the application has the following advantages:
the application provides a control method for data information transmission, which is characterized in that a transmission channel vector and a downlink beam forming vector of a NOMA downlink system are determined according to a transmission signal relation of the NOMA downlink system, an antenna power constraint relation is constructed according to the downlink beam forming vector by combining a preset multidimensional identity matrix and an antenna given power upper limit value, and a user transmission quality constraint relation is constructed according to a user transmission quality calculation formula and a preset transmission quality lower limit value according to the transmission channel vector and the downlink beam forming vector; according to the antenna power constraint relation and the user transmission quality constraint relation, a NOMA downlink beam forming model with each antenna power constraint and transmission quality constraint is constructed, and power control is carried out on each antenna of the NOMA downlink system through the NOMA downlink beam forming model, so that the minimum control of the transmitting power of each antenna power and transmission quality is realized, and the service life of a base station is effectively prolonged.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a flow chart of an embodiment of a control method for data information transmission according to the present application.
Fig. 2 is a flowchart of a second embodiment of a control method for data information transmission according to the present application.
Fig. 3 is a schematic structural diagram of an embodiment of a control device for data information transmission according to the present application.
Detailed Description
In the practical use process, the technical formula with lower service life is found to exist in the base station which is applied to the non-orthogonal multiple access scene at present. In view of this formulation, the applicant found through research that the existing base station comprises a plurality of antennas, while the traditional communication optimization model only places a limit on the power of the whole base station, and does not consider the formulation of the single antenna power of the base station. In a multi-input single-output multi-user downlink transmission environment, only considering the limitation of the power of the whole base station, the power of individual antennas of the base station is easy to be too high, the power of other antennas is too low, firstly, the waste of antenna resources is caused, and secondly, the service life of the antennas is reduced due to the fact that the power of the individual antennas is too high, so that the service life of the base station is also reduced.
The embodiment of the application provides a control method and a device for data information transmission, which are used for solving the technical formulas that the service life of a base station in the existing high concurrency scene is generally lower.
In order to make the objects, features and advantages of the present application more comprehensible, the technical solutions in the embodiments of the present application are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Firstly, the detailed description of the embodiment of the control method for data information transmission provided by the application is as follows:
referring to fig. 1, a control method for data information transmission provided in this embodiment includes:
step 101, determining a transmission signal relation of the NOMA downlink system according to the communication architecture of the NOMA downlink system.
It should be noted that the transmission signal relation includes: considering a wireless NOMA downlink system in which an antenna terminal serves M single-antenna users, the transmission signal of the antenna terminal is expressed as
Wherein w is m Is a downlink beamforming vector s m User m's information symbol (mean zero, variance unit value). The received signal for user m is given by the following formula:
wherein h is m Is the channel vector between the terminal and the user m,is h m Transpose of n m Is complex additive white gaussian noise in the received signal of user m.
Step 102, determining a transmission channel vector and a downlink beam forming vector of the NOMA downlink system according to the transmission signal relation.
And 103, constructing an antenna power constraint relation by combining a preset multidimensional identity matrix and an antenna given power upper limit value according to the downlink beam forming vector.
Then, according to the downlink beam forming vector, combining the preset multidimensional identity matrix e k And an antenna given power upper limit value P of the antenna k k An antenna power constraint relation is constructed, and the specific expression is as follows:
in the formula e k Is the kth column of the identity matrix of dimension K,the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k An upper power limit is given for the antenna of antenna k. The relation includes the power constraint of each antenna, P k Is the upper bound of a given power per antenna constraint. Because each antenna in the antenna array has its own power amplifier at its analog front end and is limited by the linearity of the power amplifier, it is more realistic to base power constraints than total power constraints by each antenna.
And 104, constructing a user transmission quality constraint relation according to the transmission channel vector and the downlink beam forming vector and a user transmission quality calculation formula and a preset transmission quality lower limit value.
It should be noted that, in order to perform information interference cancellation at the user, a decoding sequence needs to be established, which is related to the power level of the user. Let h m M=1,..m, the Rician channel model was followed.
Wherein u is m Is a complex value Gaussian random vector, the mean sum is zero, and the covariance is Is an array response vector for a uniform linear array of half wavelength spacing. Wherein θ m Is the departure angle to user m, large scale attenuation factor beta m Beta is given by the following formula m ＝1/(d m ) η Wherein d m Is the distance between the terminal and the receiver m, a and eta are the path loss indices (non-negative numbers), and ζ is a constant greater than 0.
Let s= { u be assumed now 1 ,u 2 ,...,u M A "ordered set" is where users with stronger channel conditions (smaller distance between terminal and user) have a larger index. When n is less than or equal to m, under the condition of user quality, constructing a user transmission quality constraint relation according to a signal-to-interference-and-noise ratio expression:
wherein,the expression of (2) is:
and 105, constructing a NOMA downlink beam forming model according to the antenna power constraint relation and the user transmission quality constraint relation so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model.
And then, based on the antenna power constraint relation and the user transmission quality constraint relation mentioned in the previous step, constructing a NOMA downlink beam forming model according to a control target of transmission power minimization, so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model, realize the power minimization control of the base station which takes into account the power and the transmission quality of each antenna, and further prolong the service life of the base station.
More specifically, the NOMA downlink beamforming model constructed in this embodiment is specifically:
wherein w is m Is a downlink beamforming vector and,transpose of downlink beamforming vector, e k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k For the heavenAntenna given upper power limit value of line k, gamma n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
Further, the method steps provided in this embodiment may further include:
step 106, giving a feasible solution to the NOMA downlink beam forming model based on the NOMA downlink beam forming model, assigning a value to an objective function by the feasible solution, and updating an antenna power constraint relation in the model to obtain a second downlink beam forming model;
and 107, based on the second downlink beam forming model, solving the second downlink beam forming model by using an approximation algorithm to obtain a new antenna given power upper limit value according to the solution, and updating the antenna given power upper limit value of the NOMA downlink beam forming model.
It should be noted that, based on the NOMA downlink beamforming model, a feasible solution is given to the NOMA downlink beamforming model, the feasible solution is substituted into the NOMA downlink beamforming model, and an objective function is assigned according to the feasible solution, and an antenna power constraint relation in the model is updated, so that a second downlink beamforming model is updated and formed, and the specific expression is as follows:
based on the updated model, solving the model by using an approximation algorithm, if anyOne possible solution ({ w) m -a), assuming that the feasible solution of equation (4) is a.gtoreq.1, then the feasible set of equation (4) contains the feasible set of (3); assume thatIs an optimal solution for (4). If a is * Less than or equal to 1 (i.e. a) * P k ≤P k ) At this time, the optimal solution of equation (4)>Is one feasible point of equation (3). The minimum total transmission power obtained by the formula (3) is smaller than or equal to the total transmission power obtained by the formula (4), and finally, the new antenna given power upper limit value P is obtained by solving the formula (4) k ' substituting formula (3) to replace the original upper limit value P of the given power of the antenna k 。
Further, the method steps provided in this embodiment may further include:
step 108, converting the NOMA downlink beam forming model into a separable secondary constraint form based on the NOMA downlink beam forming model;
step 109, initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and 110, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beamforming model through SOCP approximate iterative optimization logic according to the NOMA downlink beamforming model and the beamforming vector sequence, and obtaining an optimized NOMA downlink beamforming model when the output of the NOMA downlink beamforming model meets a preset convergence condition.
It should be noted that, based on the NOMA downlink beamforming model, the model is converted into a separable quadratic constraint programming, and the converted model expression is as follows:
n≤m≤M,1≤n≤M (5)
it is noted that the power constraint for each antenna is convex, but the SINR constraint for NOMA is non-convex. Thus, the traditional semi-planned relaxation of (5) is no longer tight, indicating that a new approach is required to be established that does not involve SDP relaxation.
Introducing an auxiliary variable { t } mn In the case of }, equation (5) can be further rewritten as:
n≤m≤M,1≤n≤M (6)
as can be seen from equation (6), the beamforming involved in this embodiment includes non-convex constraints (others are all convex).
Assume thatIs any given initial point (point to be updated). Observe at one's turn
It can be seen that if
Then there is:
thus, consider the following beamforming formula in the form of SOCP.
It is observed that for a given initial beamforming vector sequenceThe feasible set of equation (8) is contained in the feasible set of (5) instead of one SOCP relaxation equation.
For further analysis let l: =1, a solution was found by solving for SOCP (8)
Furthermore, the processing unit is configured to,
meaning +.>
Then, another convex constraint of (5) is similarly constructed based on
Then, solve (9) to obtainLet l: =l+1 and solving (9), thus forming an iterative procedure. Is provided with->Wherein { v l And is a non-increasing sequence.
To prove the optimal solution of equation (8) to beThe optimal solution of equation (8) can be +.>Replaced byAt this time, the optimal solution of equation (9)>The following properties are provided for (9):
can immediately check pairsIs possible. Since it is optimal for equation (8), use +.>Replaced by->It is also possible, therefore, in (8)The following relationship may be satisfied:
this means +.>
From this can be derived
Obviously, the antenna power constraint in equation (5) and that in equation (6) are also satisfied.
And
as can be seen from (10) - (12)It is possible for (9). Equation (9) is a convex constraint of (5) for l=1, 2..the optimal value is not increased, sequence +.>Convergence to the local minimum of (5), the auxiliary variable can be removed, and (9) can be equivalently changed into a compact form
Where l is the number of iterations, w, of the beamforming vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in the NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
The foregoing details of an embodiment of a method for controlling data information transmission provided by the present application are the following details of an embodiment of a device for controlling data information transmission provided by the present application, which are specifically as follows:
referring to fig. 3, the present embodiment provides a control device for data information transmission, including:
a system transmission signal relation determining unit 201, configured to determine a transmission signal relation of the NOMA downlink system according to a communication architecture of the NOMA downlink system, where the transmission signal relation includes: a transmission signal relation of the antenna end and a receiving signal relation of the user;
a signal feature extraction unit 202, configured to determine a transmission channel vector and a downlink beamforming vector of the NOMA downlink system according to the transmission signal relation;
an antenna power constraint relation construction unit 203, configured to construct an antenna power constraint relation by combining a preset multidimensional identity matrix and an antenna given power upper limit value according to a downlink beamforming vector, where a dimension number of the multidimensional identity matrix corresponds to the number of antennas of the NOMA downlink system;
a transmission quality constraint relation construction unit 204, configured to construct a user transmission quality constraint relation according to a user transmission quality calculation formula and a preset transmission quality lower limit value according to a transmission channel vector and a downlink beam forming vector;
a beamforming model building unit 205, configured to build a NOMA downlink beamforming model according to the antenna power constraint relation and the user transmission quality constraint relation, so as to perform power control on each antenna of the NOMA downlink system through the NOMA downlink beamforming model.
Preferably, the NOMA downlink beamforming model is specifically:
wherein w is m Is a downlink beamforming vector and,conversion for downlink beamforming vectorsE is arranged in k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
Preferably, the method further comprises:
an antenna power upper limit value optimizing unit 206, configured to give a feasible solution to the NOMA downlink beamforming model based on the NOMA downlink beamforming model, assign an objective function to the feasible solution, update an antenna power constraint relation in the model, obtain a second downlink beamforming model, solve the second downlink beamforming model by using an approximation algorithm based on the second downlink beamforming model, so as to obtain a new antenna given power upper limit value according to the solution, and update the antenna given power upper limit value of the NOMA downlink beamforming model.
Preferably, the method further comprises: a beamforming model optimizing unit 207 for:
converting the NOMA downlink beamforming model into a separable secondary constraint form based on the NOMA downlink beamforming model;
initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and according to the NOMA downlink beam forming model and the beam forming vector sequence, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beam forming model through SOCP approximate iterative optimization logic, and obtaining an optimized NOMA downlink beam forming model when the output of the NOMA downlink beam forming model meets a preset convergence condition.
Preferably, the optimized NOMA downlink beamforming model is specifically:
n≤m≤M,1≤n≤M
where l is the number of iterations, w, of the beamforming vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in the NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the terminal, apparatus and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for controlling transmission of data information, comprising:
determining a transmission signal relation of a NOMA downlink system according to a communication architecture of the NOMA downlink system, wherein the transmission signal relation comprises: a transmission signal relation of the antenna end and a receiving signal relation of the user;
determining a transmission channel vector and a downlink beam forming vector of the NOMA downlink system according to the transmission signal relation;
according to the downlink beam forming vector, combining a preset multidimensional identity matrix and an antenna given power upper limit value to construct an antenna power constraint relation, wherein the number of dimensions of the multidimensional identity matrix corresponds to the number of antennas of the NOMA downlink system;
constructing a user transmission quality constraint relation according to the transmission channel vector and the downlink beam forming vector, a user transmission quality calculation formula and a preset transmission quality lower limit value;
and constructing a NOMA downlink beam forming model according to the antenna power constraint relation and the user transmission quality constraint relation so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model.
2. The method for controlling data information transmission according to claim 1, wherein the NOMA downlink beamforming model is specifically:
wherein w is m Is a downlink beamforming vector and,transpose of downlink beamforming vector, e k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
3. The method for controlling transmission of data information according to claim 1, further comprising:
giving a feasible solution to the NOMA downlink beam forming model based on the NOMA downlink beam forming model, assigning a value to an objective function by the feasible solution, and updating an antenna power constraint relation in the model to obtain a second downlink beam forming model;
and based on the second downlink beam forming model, solving the second downlink beam forming model by using an approximation algorithm to obtain a new antenna given power upper limit value according to the solution, and updating the antenna given power upper limit value of the NOMA downlink beam forming model.
4. A method of controlling transmission of data information according to claim 3, further comprising:
converting the NOMA downlink beamforming model into a separable secondary constraint form based on the NOMA downlink beamforming model;
initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and according to the NOMA downlink beam forming model and the beam forming vector sequence, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beam forming model through SOCP approximate iterative optimization logic, and obtaining an optimized NOMA downlink beam forming model when the output of the NOMA downlink beam forming model meets a preset convergence condition.
5. The method for controlling data information transmission according to claim 4, wherein the optimized NOMA downlink beamforming model is specifically:
n≤m≤M,1≤n≤M
where l is the number of iterations, w, of the beamforming vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in said NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
6. A control device for data information transmission, characterized by comprising:
a system transmission signal relation determining unit, configured to determine a transmission signal relation of a NOMA downlink system according to a communication architecture of the NOMA downlink system, where the transmission signal relation includes: a transmission signal relation of the antenna end and a receiving signal relation of the user;
a signal feature extraction unit, configured to determine a transmission channel vector and a downlink beamforming vector of the NOMA downlink system according to the transmission signal relation;
an antenna power constraint relation construction unit, configured to construct an antenna power constraint relation by combining a preset multidimensional identity matrix and an antenna given power upper limit value according to the downlink beam forming vector, where the number of dimensions of the multidimensional identity matrix corresponds to the number of antennas of the NOMA downlink system;
a transmission quality constraint relation construction unit, configured to construct a user transmission quality constraint relation according to the transmission channel vector and the downlink beam forming vector, and a user transmission quality calculation formula and a preset transmission quality lower limit value;
and the beam forming model building unit is used for building a NOMA downlink beam forming model according to the antenna power constraint relation and the user transmission quality constraint relation so as to control the power of each antenna of the NOMA downlink system through the NOMA downlink beam forming model.
7. The control device for data information transmission according to claim 6, wherein the NOMA downlink beamforming model is specifically:
wherein w is m Is a downlink beamforming vector and,transpose of downlink beamforming vector, e k Is the kth column of the identity matrix with dimension K,>the transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the transmission quality lower limit value>And decoding the signal-to-interference-and-noise ratio of the user n information for the user m.
8. The control device for data information transmission according to claim 6, further comprising:
and the antenna power upper limit value optimizing unit is used for giving a feasible solution to the NOMA downlink beam forming model based on the NOMA downlink beam forming model, assigning an objective function to the feasible solution, updating an antenna power constraint relation in the model to obtain a second downlink beam forming model, solving the second downlink beam forming model by using an approximation algorithm based on the second downlink beam forming model to obtain a new antenna given power upper limit value according to the solution, and updating the antenna given power upper limit value of the NOMA downlink beam forming model.
9. The control device for data information transmission according to claim 8, further comprising: a beam forming model optimizing unit, configured to:
converting the NOMA downlink beamforming model into a separable secondary constraint form based on the NOMA downlink beamforming model;
initializing a beam forming vector sequence according to the number of users connected with the NOMA downlink system;
and according to the NOMA downlink beam forming model and the beam forming vector sequence, carrying out iterative optimization on a user transmission quality constraint relation of the NOMA downlink beam forming model through SOCP approximate iterative optimization logic, and obtaining an optimized NOMA downlink beam forming model when the output of the NOMA downlink beam forming model meets a preset convergence condition.
10. The apparatus for controlling data information transmission according to claim 9, wherein the optimized NOMA downlink beamforming model is specifically:
n≤m≤M,1≤n≤M
wherein l is a beamNumber of iterations, w, of forming a vector sequence m Is a downlink beamforming vector and,transpose of downlink beamforming vector, +.>The transpose of the kth column of the identity matrix with the dimension of K, K is the number of antennas of the NOMA downlink system, M is the number of users connected with the NOMA downlink system, and P k Given an upper power limit for antenna k, γ n For the lower limit value of transmission quality, h m For the transmission channel vector between the antenna terminal and user m in said NOMA downlink system +.>Is h m Transpose of->The noise signal in the user n information is decoded for user m.
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