CN108923831B - Method and device for precoding transmission signals - Google Patents

Abstract

The embodiment of the invention provides a method and a device for precoding a transmitted signal, relates to the field of signal precoding, and can perform precoding from the aspect of improving the energy efficiency of a system. The method comprises the following steps: acquiring a channel response matrix and hardware energy consumption; calculating an optimal simulation precoding matrix according to a cross entropy optimization algorithm according to a channel response matrix, an optimal simulation precoding matrix formula and a simulation precoding matrix form constraint condition; calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm; calculating an optimal power distribution factor matrix according to an optimal power distribution factor matrix formula according to hardware energy consumption, a channel response matrix, a preset constraint condition of transmitting power and a preset constraint condition of transmission rate; calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix and the optimal power distribution factor matrix; and configuring the precoding structure according to the calculation result of the precoding matrix.

Description

Method and device for precoding transmission signals

Technical Field

The present invention relates to the field of signal precoding, and in particular, to a method and an apparatus for precoding a transmission signal.

Background

With the rapid development of global wireless communication technology and internet technology, the number of mobile users is increasing explosively, and various new mobile services are emerging continuously. The future 5G mobile communication system not only needs to support the voice function, but also needs to support data transmission of numbers, images, multimedia and the like, and the transmission efficiency, the coverage range and the like are improved by one or more orders of magnitude compared with 4G, so that the development requirement that the mobile internet flow is increased by 1000 times in 10 years is met. The millimeter wave frequency band (30-300 GHz) has rich spectrum resources, the combination of millimeter waves and massive Multiple Input Multiple Output (MIMO) can bring huge space gain, energy efficiency and spectrum efficiency, and the millimeter wave massive MIMO becomes a key technology of next-generation mobile communication.

In a multi-user MIMO system, a transmitting terminal converts an input serial data stream into a plurality of parallel independent sub-data streams through preprocessing, performs precoding processing, and transmits the sub-data streams through different transmitting antennas. The receiving end carries out a series of processing to obtain the data needed by the user. Theoretically, the frequency band utilization rate can be greatly expanded, the wireless transmission rate is improved, and meanwhile, the anti-interference and anti-fading performance of the communication system is enhanced. In a traditional MIMO system, a full-digital baseband precoding structure is adopted for realizing precoding, each antenna corresponds to a radio frequency link, and the precoding processing is carried out on data streams by adopting the technologies of zero-forcing precoding, maximum ratio precoding and the like. In a millimeter wave large-scale MIMO system, on one hand, the number of transmitting antennas is increased, and the original precoding scheme needs more radio frequency links, so that the problem of great power consumption is brought, and the original full-digital baseband precoding scheme is not applicable any more. Meanwhile, as the millimeter wave channel has progressive orthogonality and sparsity, performance gains brought by different precoding technologies are different from those in the traditional MIMO. Researchers are looking at precoding in a more comprehensive hybrid precoding scheme.

However, when precoding a signal, the conventional hybrid precoding technique is performed with a system and a rate as targets in a full-connection hybrid precoding structure in many cases. On the one hand, the fully connected structure requires a large number of phase shifters, which cause a large power consumption to the system, but has a limited improvement in performance gain. On the other hand, the sum rate is targeted, the impact on the system emission energy is neglected, and the system is not economical from the energy efficiency point of view.

Disclosure of Invention

Embodiments of the present invention provide a method and an apparatus for precoding a transmission signal, which can precode the transmission signal from the viewpoint of improving system energy efficiency.

In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:

in a first aspect, a method for precoding a transmitted signal is provided, including:

acquiring a channel response matrix of a channel where a transmitting signal is located and hardware energy consumption corresponding to the transmitting signal;

calculating an optimal simulation precoding matrix which meets the condition that the energy efficiency of a communication system corresponding to a transmitting signal is highest according to a cross entropy optimization algorithm and a constraint condition of a channel response matrix, an optimal simulation precoding matrix formula and a simulation precoding matrix form; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix;

calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm;

calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to a transmitting signal according to the optimal power distribution factor matrix formula according to hardware energy consumption, a channel response matrix, a preset constraint condition of transmitting power and a preset constraint condition of transmission rate;

calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix and the optimal power distribution factor matrix;

and configuring a sub-connection hybrid precoding structure corresponding to the transmitting signals according to the optimal analog precoding matrix and the optimal digital precoding matrix.

Optionally, before calculating, according to the cross entropy optimization algorithm, an optimal simulated precoding matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmission signal according to the channel response matrix, the optimal simulated precoding matrix formula and the constraint condition of the simulated precoding matrix form, the method further includes:

updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and determining an optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

Optionally, before calculating, according to the preset constraint conditions of the hardware energy consumption, the channel response matrix, the transmission power, and the transmission rate, an optimal power distribution factor matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmission signal according to the optimal power distribution factor matrix formula, the method further includes:

updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and constructing an optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

Optionally, calculating, according to the optimal power distribution factor matrix formula, an optimal power distribution factor matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmission signal according to the hardware energy consumption, the channel response matrix, the preset constraint condition of the transmission power, and the preset constraint condition of the transmission rate includes:

converting the optimal power distribution factor matrix formula into a target subtraction formula by using a fractional programming problem lemma;

calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula;

calculating a target power distribution factor matrix according to the Lagrange multiplier method and the Countck condition according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal of the communication system service and the target subtraction formula;

and judging whether the target subtraction meets a preset condition or not according to the target power distribution factor matrix, and when the target subtraction meets the preset condition, determining the target power distribution factor matrix as the optimal power distribution factor matrix.

Optionally, when it is determined that the target subtraction does not satisfy the preset condition according to the target power distribution factor matrix, replacing the initial power distribution factor matrix with the target power distribution factor matrix.

Optionally, the determining whether the target subtraction meets the preset condition according to the target power distribution factor matrix includes: constructing an objective function according to the objective subtraction formula; calculating the dependent variable value of the target function according to the target power distribution factor matrix; and judging whether the absolute value of the dependent variable of the target function is smaller than a preset threshold value, and if so, determining that the target subtraction meets a preset condition.

Optionally, the optimal analog precoding matrix formula specifically includes:

wherein, F_RFSimulating a precoding matrix, and H is a channel response matrix;

the optimal power distribution factor matrix formula is specifically as follows:

k is the number of user terminals served by the communication system to which the transmitting signal belongs; p is a power distribution factor matrix; p_kThe square of a power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element in the kth column in the P is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; g_k ^BBThe k-th column of the modulation matrix.

Optionally, the preset system and the rate formula specifically include:

wherein R is the system sum rate, B is the system bandwidth, K is the number of user terminals serving the communication system to which the transmitted signal belongs, R_kFor the transmission rate, y, in the transmission of the transmission signal to the kth subscriber terminal_kIs the signal-to-dryness ratio, h, of the kth user_kIs the k-th column of the channel response matrix，F_RFIn order to model the pre-coding matrix,

is the variance of white gaussian noise in the transmission of the transmission signal to the kth ue,

for the k-th column of the digital precoding matrix,

is the k' th column of the digital precoding matrix;

the updated system and rate formula is specifically:

the preset power consumption formula is specifically as follows:

wherein, P_totalFor system power consumption, P_sFor hardware power consumption, P_dFor transmitting power consumption, G_BBTo modulate a matrix, g_k ^BBIs the k-th column of the modulation matrix; p_kAnd the square of the power distribution factor corresponding to the kth user terminal is simultaneously the square of the element of the kth column in the power distribution factor matrix.

Optionally, the target subtraction formula specifically is:

the energy efficiency factor is:

wherein η is the energy efficiency of the system, K is the number of user terminals served by the communication system to which the transmission signal belongs, P is the power allocation factor matrix_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

Optionally, the objective function is specifically:

M＝f(P)-η*g(P)；

wherein M is a dependent variable of an objective function, η is system energy efficiency, K is the number of user terminals served by a communication system to which a transmission signal belongs, P is a power distribution factor matrix, and P is_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

In a second aspect, a precoding apparatus for transmitting a signal is provided, including: the device comprises an acquisition module, an analog pre-coding matrix calculation module, a modulation matrix calculation module, a power distribution factor calculation module, a digital pre-coding matrix calculation module and a configuration module;

the acquisition module is used for acquiring a channel response matrix of a channel where the transmission signal is located and hardware energy consumption corresponding to the transmission signal;

the simulation pre-coding matrix calculation module is used for calculating an optimal simulation pre-coding matrix which meets the requirement of highest energy efficiency of a communication system corresponding to the transmitting signal according to the channel response matrix, the optimal simulation pre-coding matrix formula and the constraint conditions of the simulation pre-coding matrix form obtained by the obtaining module and a cross entropy optimization algorithm; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix;

the modulation matrix calculation module is used for calculating a modulation matrix according to a zero forcing precoding algorithm according to the optimal simulation precoding matrix calculated by the simulation precoding matrix calculation module and the channel response matrix acquired by the acquisition module;

the power distribution factor calculation module is used for calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to the transmitting signal according to the optimal power distribution factor matrix formula according to the hardware energy consumption obtained by the obtaining module, the channel response matrix obtained by the obtaining module, the preset constraint condition of the transmitting power and the preset constraint condition of the transmission rate;

the digital pre-coding matrix calculation module is used for calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix calculated by the modulation matrix calculation module and the optimal power distribution factor matrix calculated by the power distribution factor calculation module;

and the configuration module is used for configuring the precoding structure corresponding to the transmitting signal according to the optimal analog precoding matrix calculated by the analog precoding matrix calculation module and the optimal digital precoding matrix calculated by the digital precoding matrix calculation module.

Optionally, the system further comprises a processing module; the processing module is used for updating the preset system and the rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and determining an optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

Further optionally, the processing module is further configured to: updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and constructing an optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

Optionally, the power allocation factor calculating module is specifically configured to:

converting the optimal power distribution factor matrix formula calculated by the power distribution factor calculation module into a target subtraction formula by using a fractional programming problem lemma;

calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula;

calculating a target power distribution factor matrix according to the Lagrange multiplier method and the Countck condition according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal of the communication system service and the target subtraction formula;

and judging whether the target subtraction meets a preset condition or not according to the target power distribution factor matrix, and when the target subtraction meets the preset condition, determining the target power distribution factor matrix as the optimal power distribution factor matrix.

Optionally, when the power distribution factor calculation module determines that the target subtraction does not satisfy the preset condition according to the target power distribution factor matrix, the initial power distribution factor matrix is replaced with the target power distribution factor matrix.

Optionally, the determining, by the power distribution factor calculation module, whether the target subtraction equation satisfies the preset condition according to the target power distribution factor matrix includes:

constructing an objective function according to the objective subtraction formula;

calculating the dependent variable value of the target function according to the target power distribution factor matrix;

and judging whether the absolute value of the dependent variable of the target function is smaller than a preset threshold value, and if so, determining that the target subtraction meets a preset condition.

The embodiment of the invention provides a method and a device for precoding a transmitted signal, wherein the method comprises the following steps: acquiring a channel response matrix of a channel where a transmitting signal is located and hardware energy consumption corresponding to the transmitting signal; calculating an optimal simulation precoding matrix which meets the condition that the energy efficiency of a communication system corresponding to a transmitting signal is highest according to a cross entropy optimization algorithm and a constraint condition of a channel response matrix, an optimal simulation precoding matrix formula and a simulation precoding matrix form; calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm; calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to a transmitting signal according to the optimal power distribution factor matrix formula according to hardware energy consumption, a channel response matrix, a preset constraint condition of transmitting power and a preset constraint condition of transmission rate; calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix and the optimal power distribution factor matrix; and configuring a precoding structure corresponding to the transmitting signal according to the optimal analog precoding matrix and the optimal digital precoding matrix. In the technical scheme provided by the embodiment of the invention, when precoding is carried out on a transmitting signal of a transmitting end of a communication system adopting a sub-connection structure mixed precoding structure, a digital precoding matrix corresponding to a digital precoder and an analog precoding matrix corresponding to an analog precoder are separately calculated, firstly, according to a channel response matrix of the communication system and hardware energy consumption corresponding to the transmitting signal, an optimal analog precoding matrix formula which can enable the calculated analog precoding matrix to meet the highest energy efficiency of the communication system and the form constraint of the sub-connection structure mixed precoding structure on the analog precoding matrix are combined, and an optimal analog precoding matrix is calculated; then, an adjusting matrix can be obtained by utilizing a zero-forcing pre-coding algorithm according to the calculated optimal simulation pre-coding matrix; then, according to hardware energy consumption corresponding to the transmitting signal and a channel response matrix of the communication system, combining an optimal power distribution factor matrix formula which can enable the calculated power distribution factor matrix to meet the highest energy efficiency of the communication system, and calculating to obtain an optimal power distribution factor matrix which meets preset constraint conditions of transmitting power and preset constraint conditions of transmission rate; then, an optimal digital pre-coding matrix can be obtained according to the calculated modulation matrix and the optimal power distribution factor matrix; finally, each parameter of the sub-connection hybrid precoding structure used in the communication system can be set according to the digital precoding matrix and the analog precoding matrix. In addition, because the sub-link hybrid precoding structure adopted by the communication system is less than the hardware deployment of the full-link hybrid precoding structure, the power consumption is low, and the energy efficiency of the communication system is further improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of a fully-concatenated hybrid precoding structure provided in the prior art;

fig. 2 is a schematic diagram of a sub-concatenation hybrid precoding structure according to an embodiment of the present invention;

fig. 3 is a comparison diagram of the effects of four hybrid precoding methods provided by the embodiment of the present invention;

fig. 4 is a flowchart illustrating a method for precoding a transmitted signal according to an embodiment of the present invention;

fig. 5 is a flowchart illustrating another method for precoding a transmitted signal according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a device for precoding a transmitted signal according to an embodiment of the present invention.

Detailed Description

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 given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

It should be noted that, in the embodiments of the present invention, "of", "corresponding" and "corresponding" may be sometimes used in combination, and it should be noted that, when the difference is not emphasized, the intended meaning is consistent.

Referring to fig. 1, an existing millimeter wave large-scale MIMO system adopts a fully-connected hybrid precoding structure, each radio frequency (rf) chain needs to be connected to each antenna, and when the number of antennas is large, the hardware deployment of the connection method is complex, which also makes the hardware power consumption of the communication system large, and the connection method aims at improving the system and the rate during precoding, and ignores the influence of precoding on the system energy efficiency. In view of the above problems, the millimeter wave large-scale MIMO system provided by the present invention employs a sub-connection hybrid precoding structure as shown in fig. 2, wherein each radio frequency chain is connected to only a part of antennas, and when the number of antennas is large, the connection manner greatly reduces the complexity of deployment; in addition, in order to reduce the problem of large power consumption of a phase shifter in the analog precoder, a converter is adopted in the sub-connection hybrid precoding structure to replace the phase shifter, and the phase shifting angles of the converter are 0 and pi; illustratively, referring to fig. 3, the system and rate that can be achieved by the communication system after adopting the sub-concatenated hybrid precoding structure using the converter (CE (Cross Entropy) -based hybrid precoding) is compared with the system and rate of other precoding schemes, and the system and rate loss of the structure is limited compared with the actual energy consumption test for the structure and the fully concatenated hybrid precoding structure.

Based on the large-scale MIMO system adopting the sub-connection hybrid precoding structure, referring to fig. 4, an embodiment of the present invention provides a precoding method for a transmit signal, including:

401. and acquiring a channel response matrix of a channel where the transmitting signal is located and hardware energy consumption corresponding to the transmitting signal.

Illustratively, in the millimeter wave massive MIMO system using the sub-connection hybrid precoding structure provided in the embodiment of the present invention, the signal response matrix H expression specifically includes:

wherein,

to normalize the factor, α_ilIs the complex gain, variable, of each path

And

respectively, a signal reception horizontal angle (vertical angle) and a signal transmission horizontal angle (vertical angle), a (phi)_il,θ_il) Is the response vector corresponding to the angle, N_tFor the number of transmitting antennas, N_rFor the number of receiving antennas, N_clIs the number of beam clusters, N_rayThe number of beam paths per cluster.

402. And calculating the optimal simulation precoding matrix which meets the highest energy efficiency of the communication system corresponding to the transmitting signal according to the channel response matrix, the optimal simulation precoding matrix formula and the constraint conditions of the simulation precoding matrix form and the cross entropy optimization algorithm.

The analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which a transmitting signal belongs on an analog precoding matrix, and because a sub-connection hybrid precoding structure based on a converter is adopted, the coefficient between each RF chain and a connected transmitting antenna is +/-1 (equivalent to the phase shift angle being 0 or pi), and the coefficient between the RF chain and a non-connected transmitting antenna is 0, the analog precoding matrix F under the hardware limitation_RFThe form of (A) is as follows:

wherein,

N_tn is a positive integer, which is the number of transmit antennas; specifically, the calculation of the analog precoding matrix in the procedure step is mainly to calculate a_nA value of (d);

illustratively, the optimal analog precoding matrix formula is:

wherein, F_RFTo model the precoding matrix, H is the channel response matrix.

403. And calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm.

Illustratively, the modulation matrix is:

G_BB＝(HF_RF)^H{HF_RF(HF_RF)^H}^-1；

where H is the channel response matrix, F_RFAn analog precoding matrix.

404. And calculating an optimal power distribution factor matrix meeting the highest energy efficiency of a communication system corresponding to the transmitting signal according to the optimal power distribution factor matrix formula according to the hardware energy consumption, the channel response matrix, the preset constraint condition of the transmitting power and the preset constraint condition of the transmission rate.

Illustratively, the preset constraint condition of the transmission power is specifically: the transmission power of signals transmitted by the millimeter wave large-scale MIMO system corresponding to the transmission signals to all the user terminals served by the system does not exceed the preset maximum transmission power comprehensively, namely

Where K is the number of user terminals served by the system, P_kPmax is a preset maximum value of the transmitting power aiming at the transmitting power of the kth user terminal;

the preset constraint conditions of the transmission rate are specifically as follows: the transmission rate of the millimeter wave massive MIMO system corresponding to the transmission signal to each user terminal served by the system should be greater than a preset minimum transmission rate value, namely r_k>r_minWherein r is_kFor the transmission rate for the k-th user, r_minIs a preset minimum value of the transmission rate;

for example, the optimal power allocation factor matrix formula is specifically:

k is the number of user terminals served by the communication system to which the transmitting signal belongs; p is a power distribution factor matrix; p_kThe square of a power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element in the kth column in the P is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; g_k ^BBIs the k-th column of the modulation matrix; for w here_kNormalized only at F_RFIf it has already been calculated, it can only be done for computational simplicity, otherwise it cannot be normalized.

405. And calculating the optimal digital precoding matrix according to the modulation matrix and the optimal power distribution factor matrix and a preset digital precoding matrix formula.

Illustratively, the preset digital precoding matrix formula is:

F_BB＝G_BBP；

wherein, F_BBFor a digital precoding matrix, G_BBFor the modulation matrix, P is the power allocation factor matrix.

406. And configuring a sub-connection hybrid precoding structure corresponding to the transmitting signals according to the optimal analog precoding matrix and the optimal digital precoding matrix.

Specifically, the step 406 is to set each parameter or switch state in the sub-connection hybrid precoding structure shown in fig. 2 according to the analog precoding matrix and the digital precoding matrix obtained by the foregoing calculation.

In the technical scheme provided by the embodiment of the invention, when precoding is carried out on a transmitting signal of a transmitting end of a communication system adopting a sub-connection structure mixed precoding structure, a digital precoding matrix corresponding to a digital precoder and an analog precoding matrix corresponding to an analog precoder are separately calculated, firstly, according to a channel response matrix of the communication system and hardware energy consumption corresponding to the transmitting signal, an optimal analog precoding matrix formula which can enable the calculated analog precoding matrix to meet the highest energy efficiency of the communication system and the form constraint of the sub-connection structure mixed precoding structure on the analog precoding matrix are combined, and an optimal analog precoding matrix is calculated; then, an adjusting matrix can be obtained by utilizing a zero-forcing pre-coding algorithm according to the calculated optimal simulation pre-coding matrix; then, according to hardware energy consumption corresponding to the transmitting signal and a channel response matrix of the communication system, combining an optimal power distribution factor matrix formula which can enable the calculated power distribution factor matrix to meet the highest energy efficiency of the communication system, and calculating to obtain an optimal power distribution factor matrix which meets preset constraint conditions of transmitting power and preset constraint conditions of transmission rate; then, an optimal digital pre-coding matrix can be obtained according to the calculated modulation matrix and the optimal power distribution factor matrix; finally, each parameter of the sub-connection hybrid precoding structure used in the communication system can be set according to the digital precoding matrix and the analog precoding matrix. In addition, because the sub-link hybrid precoding structure adopted by the communication system is less than the hardware deployment of the full-link hybrid precoding structure, the power consumption is low, and the energy efficiency of the communication system is further improved.

Referring to fig. 5, an embodiment of the present invention further provides a method for precoding a transmitted signal, which is a supplementary description of the method for precoding a transmitted signal provided in the foregoing embodiment, and specifically includes:

501. and acquiring a channel response matrix of a channel where the transmitting signal is located and hardware energy consumption corresponding to the transmitting signal.

502. And updating the preset system and rate formula according to a zero forcing precoding algorithm to obtain an updated system and rate formula.

Illustratively, the preset and rate formula is specifically:

wherein R is the system sum rate, B is the system bandwidth, K is the number of user terminals serving the communication system to which the transmitted signal belongs, R_kFor the transmission rate, y, in the transmission of the transmission signal to the kth subscriber terminal_kIs the signal-to-dryness ratio, h, of the kth user_kIs the k-th column, F, of the channel response matrix_RFIn order to model the pre-coding matrix,

is the variance of white gaussian noise in the transmission of the transmission signal to the kth ue,

for the k-th column of the digital precoding matrix,

is the k' th column of the digital precoding matrix;

the zero-forcing precoding algorithm is mainly used in this step to remove noise in the preset and rate equations, i.e. to remove noise in the preset and rate equations

The updated system and rate formula obtained after denoising by the zero-forcing precoding algorithm are specifically as follows:

503. and determining an optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

Illustratively, the preset power consumption formula is specifically:

wherein, P_totalFor system power consumption, P_sFor hardware power consumption, P_dFor transmitting power consumption, G_BBTo modulate a matrix, g_k ^BBFor adjustingMaking the k column of the matrix; p_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

because the technical solution provided by the embodiment of the present invention is to make the energy efficiency of the communication system higher and better after precoding the transmission signal, because the energy efficiency η is the ratio of the system sum rate and the system power consumption, it can be seen from the foregoing two formulas that when the power allocation factor matrix P is constant, P is_SA certain, P_dThe smaller the system energy efficiency, the less computational complexity, at P_totalIn the specification, we mean

(

Representing a modulation matrix G_BBK column) of the first to third order

Obtaining a minimum value; the optimal analog precoding matrix formula described in the foregoing 402 steps can thus be obtained.

504. And constructing an optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

505. And calculating the optimal simulation precoding matrix which meets the highest energy efficiency of the communication system corresponding to the transmitting signal according to the channel response matrix, the optimal simulation precoding matrix formula and the constraint conditions of the simulation precoding matrix form and the cross entropy optimization algorithm.

The analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix.

506. And calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm.

507. And converting the optimal power distribution factor matrix formula into a target subtraction formula by using a fractional programming problem lemma.

Illustratively, the target reduction is specifically:

wherein η is the energy efficiency of the system, K is the number of user terminals served by the communication system to which the transmission signal belongs, P is the power allocation factor matrix_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

508. And calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula.

Exemplary energy efficiency factors are specifically:

the energy efficiency factor is used for calculating the initial energy efficiency of the communication system corresponding to the transmitting signal.

509. And calculating a target power distribution factor matrix according to the Lagrange multiplier method and the Countck condition according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal served by the communication system and the target subtraction.

Illustratively, the preset constraint condition of the transmission power is specifically: the transmission power of signals transmitted by the millimeter wave large-scale MIMO system corresponding to the transmission signals to all the user terminals served by the system does not exceed the preset maximum transmission power comprehensively, namely

Where K is the number of user terminals served by the system, P_kPmax is a preset maximum value of the transmitting power aiming at the transmitting power of the kth user terminal;

the preset constraint conditions of the transmission rate are specifically as follows: the transmission rate of the millimeter wave massive MIMO system corresponding to the transmission signal to each user terminal served by the system should be greater than a preset minimum transmission rate value, namely r_k>r_minWherein r is_kFor the transmission rate for the k-th user, r_minIs a preset minimum value of the transmission rate.

510. And constructing an objective function according to the objective subtraction.

Illustratively, the objective function is specifically:

M＝f(P)-η*g(P)；

where M is the dependent variable of the objective function, η is the system energy efficiency, and K is the user terminal serving the communication system to which the transmitted signal belongsThe number of the particles; p is a power allocation factor matrix, P_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

is the variance of white Gaussian noise in the process of transmitting a signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

511. And calculating the dependent variable value of the objective function according to the objective power distribution factor matrix.

512. And judging whether the absolute value of the dependent variable value of the target function is smaller than a preset threshold value.

For example, a positive number, in which the preset threshold is generally set close to 0, is generally indicated;

if the absolute value of the dependent variable value of the objective function is smaller than the preset threshold, 513 is executed; if the absolute value of the dependent variable value of the objective function is not less than the predetermined threshold, 514 is performed.

513. And determining the target power distribution factor matrix as the optimal power distribution factor matrix.

514. And replacing the initial power distribution factor matrix with the target power distribution factor matrix.

Step 514 is followed by step 508.

515. And calculating the optimal digital precoding matrix according to the modulation matrix and the optimal power distribution factor matrix and a preset digital precoding matrix formula.

516. And configuring a sub-connection hybrid precoding structure corresponding to the transmitting signals according to the optimal analog precoding matrix and the optimal digital precoding matrix.

The method for precoding the transmitted signal provided by the embodiment of the invention comprises the following steps: acquiring a channel response matrix of a channel where a transmitting signal is located and hardware energy consumption corresponding to the transmitting signal; calculating an optimal simulation precoding matrix which meets the condition that the energy efficiency of a communication system corresponding to a transmitting signal is highest according to a cross entropy optimization algorithm and a constraint condition of a channel response matrix, an optimal simulation precoding matrix formula and a simulation precoding matrix form; calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm; calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to a transmitting signal according to the optimal power distribution factor matrix formula according to hardware energy consumption, a channel response matrix, a preset constraint condition of transmitting power and a preset constraint condition of transmission rate; calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix and the optimal power distribution factor matrix; and configuring a precoding structure corresponding to the transmitting signal according to the optimal analog precoding matrix and the optimal digital precoding matrix. In the technical scheme provided by the embodiment of the invention, when precoding is carried out on a transmitting signal of a transmitting end of a communication system adopting a sub-connection structure mixed precoding structure, a digital precoding matrix corresponding to a digital precoder and an analog precoding matrix corresponding to an analog precoder are separately calculated, firstly, according to a channel response matrix of the communication system and hardware energy consumption corresponding to the transmitting signal, an optimal analog precoding matrix formula which can enable the calculated analog precoding matrix to meet the highest energy efficiency of the communication system and the form constraint of the sub-connection structure mixed precoding structure on the analog precoding matrix are combined, and an optimal analog precoding matrix is calculated; then, an adjusting matrix can be obtained by utilizing a zero-forcing pre-coding algorithm according to the calculated optimal simulation pre-coding matrix; then, according to hardware energy consumption corresponding to the transmitting signal and a channel response matrix of the communication system, combining an optimal power distribution factor matrix formula which can enable the calculated power distribution factor matrix to meet the highest energy efficiency of the communication system, and calculating to obtain an optimal power distribution factor matrix which meets preset constraint conditions of transmitting power and preset constraint conditions of transmission rate; then, an optimal digital pre-coding matrix can be obtained according to the calculated modulation matrix and the optimal power distribution factor matrix; finally, each parameter of the sub-connection hybrid precoding structure used in the communication system can be set according to the digital precoding matrix and the analog precoding matrix. In addition, because the sub-link hybrid precoding structure adopted by the communication system is less than the hardware deployment of the full-link hybrid precoding structure, the power consumption is low, and the energy efficiency of the communication system is further improved.

Referring to fig. 6, an embodiment of the present invention further provides a precoding apparatus 01 for transmitting a signal, including: the device comprises an acquisition module 61, an analog pre-coding matrix calculation module 62, a modulation matrix calculation module 63, a power distribution factor calculation module 64, a digital pre-coding matrix calculation module 65 and a configuration module 66;

the acquiring module 61 is configured to acquire a channel response matrix of a channel where the transmission signal is located and hardware energy consumption corresponding to the transmission signal;

the analog precoding matrix calculation module 62 is configured to calculate, according to the channel response matrix, the optimal analog precoding matrix formula, and the analog precoding matrix form constraint condition obtained by the obtaining module 61, an optimal analog precoding matrix meeting the highest energy efficiency of the communication system corresponding to the transmission signal according to a cross entropy optimization algorithm; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix;

a modulation matrix calculation module 63, configured to calculate a modulation matrix according to a zero-forcing precoding algorithm according to the optimal simulated precoding matrix calculated by the simulated precoding matrix calculation module 62 and the channel response matrix acquired by the acquisition module 61;

a power distribution factor calculation module 64, configured to calculate, according to the hardware energy consumption obtained by the obtaining module 61, the channel response matrix obtained by the obtaining module 61, the preset constraint condition of the transmit power, and the preset constraint condition of the transmission rate, an optimal power distribution factor matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmit signal according to the optimal power distribution factor matrix formula;

a digital pre-coding matrix calculation module 65, configured to calculate an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula, according to the modulation matrix calculated by the modulation matrix calculation module 63 and the optimal power distribution factor matrix calculated by the power distribution factor calculation module 64;

a configuring module 66, configured to configure the precoding structure corresponding to the transmission signal according to the optimal analog precoding matrix calculated by the analog precoding matrix calculating module 62 and the optimal digital precoding matrix calculated by the digital precoding matrix calculating module 65.

Optionally, a processing module 67 is further included; the processing module 67 is configured to update the preset system and rate formula according to a zero-forcing precoding algorithm to obtain an updated system and rate formula;

and determining an optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

Further optionally, the processing module 67 is further configured to: updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and constructing an optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

Optionally, the power allocation factor calculating module 64 is specifically configured to:

converting the optimal power distribution factor matrix formula calculated by the power distribution factor calculation module 64 into a target subtraction formula by using a fractional programming problem lemma;

calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula;

calculating a target power distribution factor matrix according to the Lagrange multiplier method and the Countck condition according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal of the communication system service and the target subtraction formula;

and judging whether the target subtraction meets a preset condition or not according to the target power distribution factor matrix, and when the target subtraction meets the preset condition, determining the target power distribution factor matrix as the optimal power distribution factor matrix.

Optionally, when the power distribution factor calculation module 64 determines that the target subtraction does not satisfy the preset condition according to the target power distribution factor matrix, the initial power distribution factor matrix is replaced with the target power distribution factor matrix.

Optionally, the determining, by the power distribution factor calculating module 64, whether the target subtraction equation satisfies the preset condition according to the target power distribution factor matrix includes:

constructing an objective function according to the objective subtraction formula;

calculating the dependent variable value of the target function according to the target power distribution factor matrix;

and judging whether the absolute value of the dependent variable of the target function is smaller than a preset threshold value, and if so, determining that the target subtraction meets a preset condition.

The precoding device for transmitting signals provided by the embodiment of the invention comprises: the acquisition module is used for acquiring a channel response matrix of a channel where the transmission signal is located and hardware energy consumption corresponding to the transmission signal; the simulation pre-coding matrix calculation module is used for calculating an optimal simulation pre-coding matrix which meets the requirement of highest energy efficiency of a communication system corresponding to the transmitting signal according to the channel response matrix, the optimal simulation pre-coding matrix formula and the constraint conditions of the simulation pre-coding matrix form obtained by the obtaining module and a cross entropy optimization algorithm; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix; the modulation matrix calculation module is used for calculating a modulation matrix according to a zero forcing precoding algorithm according to the optimal simulation precoding matrix calculated by the simulation precoding matrix calculation module and the channel response matrix acquired by the acquisition module; the power distribution factor calculation module is used for calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to the transmitting signal according to the optimal power distribution factor matrix formula according to the hardware energy consumption obtained by the obtaining module, the channel response matrix obtained by the obtaining module, the preset constraint condition of the transmitting power and the preset constraint condition of the transmission rate; the digital pre-coding matrix calculation module is used for calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix calculated by the modulation matrix calculation module and the optimal power distribution factor matrix calculated by the power distribution factor calculation module; and the configuration module is used for configuring the precoding structure corresponding to the transmitting signal according to the optimal analog precoding matrix calculated by the analog precoding matrix calculation module and the optimal digital precoding matrix calculated by the digital precoding matrix calculation module. Therefore, based on the technical scheme provided by the embodiment of the invention, when precoding is performed on a transmitting signal of a transmitting end of a millimeter wave large-scale MIMO system adopting a sub-connection structure mixed precoding structure, a digital precoding matrix corresponding to a digital precoder and an analog precoding matrix corresponding to an analog precoder can be separately calculated, firstly, according to a channel response matrix of the communication system and hardware energy consumption corresponding to the transmitting signal, the calculated analog precoding matrix meets the optimal analog precoding matrix formula with the highest energy efficiency of the communication system and the form constraint of the sub-connection structure mixed precoding structure on the analog precoding matrix, and the optimal analog precoding matrix is calculated; then, an adjusting matrix can be obtained by utilizing a zero-forcing pre-coding algorithm according to the calculated optimal simulation pre-coding matrix; then, according to hardware energy consumption corresponding to the transmitting signal and a channel response matrix of the communication system, combining an optimal power distribution factor matrix formula which can enable the calculated power distribution factor matrix to meet the highest energy efficiency of the communication system, and calculating to obtain an optimal power distribution factor matrix which meets preset constraint conditions of transmitting power and preset constraint conditions of transmission rate; then, an optimal digital pre-coding matrix can be obtained according to the calculated modulation matrix and the optimal power distribution factor matrix; finally, each parameter of the sub-connection hybrid precoding structure used in the communication system can be set according to the digital precoding matrix and the analog precoding matrix. In addition, because the sub-link hybrid precoding structure adopted by the communication system is less than the hardware deployment of the full-link hybrid precoding structure, the power consumption is low, and the energy efficiency of the communication system is further improved.

The embodiment of the application provides computer equipment which comprises a memory and a processor. The memory stores a computer program operable on the processor, and the processor implements the foregoing method of precoding the transmission signal when executing the computer program. Wherein the storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

An embodiment of the present application provides a computer-readable medium, which stores a computer program, and the computer program is executed by a processor to implement the foregoing method for precoding a transmission signal.

The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (15)

1. A method for precoding a transmitted signal, comprising:

acquiring a channel response matrix of a channel where the transmitting signal is located and hardware energy consumption corresponding to the transmitting signal;

calculating an optimal simulation precoding matrix which meets the condition that the energy efficiency of a communication system corresponding to the transmitting signal is highest according to the channel response matrix, the optimal simulation precoding matrix formula and the constraint condition of the simulation precoding matrix form and a cross entropy optimization algorithm; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on an analog precoding matrix;

calculating to obtain a modulation matrix according to the optimal simulation precoding matrix and the channel response matrix and a zero forcing precoding algorithm;

calculating an optimal power distribution factor matrix which meets the highest energy efficiency of a communication system corresponding to the transmitting signal according to the hardware energy consumption, the channel response matrix, the preset constraint condition of the transmitting power and the preset constraint condition of the transmission rate and an optimal power distribution factor matrix formula;

calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix and the optimal power distribution factor matrix;

configuring the sub-connection hybrid precoding structure according to the optimal analog precoding matrix and the optimal digital precoding matrix;

the optimal simulation precoding matrix formula specifically includes:

wherein, F_RFIs an analog precoding matrix, and H is the channel response matrix;

the optimal power distribution factor matrix formula specifically includes:

wherein K is the number of user terminals served by the communication system to which the transmission signal belongs; p is a power distribution factor matrix; p_sEnergy consumption of hardware; p_kThe square of a power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element in the kth column in the P is obtained;

the variance of white Gaussian noise when the transmitting signal is transmitted to the kth user terminal; h is_kIs the kth column of the channel response matrix; g_k ^BBThe k-th column of the modulation matrix.

2. The method according to claim 1, wherein before calculating the optimal precoding matrix satisfying the highest energy efficiency of the communication system corresponding to the transmission signal according to the channel response matrix, the optimal precoding matrix equation and the constraint condition of the form of the precoding matrix, and the cross entropy optimization algorithm, the method further comprises:

updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and determining the optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

3. The method according to claim 1, wherein before calculating, according to the hardware energy consumption, the channel response matrix, the preset constraint condition of the transmission power, and the preset constraint condition of the transmission rate, the optimal power distribution factor matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmission signal according to the optimal power distribution factor matrix formula, the method further comprises:

updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and constructing the optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

4. The method according to claim 1, wherein the calculating, according to the hardware energy consumption, the channel response matrix, the preset constraint condition of the transmission power, and the preset constraint condition of the transmission rate, the optimal power distribution factor matrix that satisfies the highest energy efficiency of the communication system corresponding to the transmission signal according to the optimal power distribution factor matrix formula comprises:

converting the optimal power distribution factor matrix formula into a target subtraction formula by using a fractional programming problem lemma;

calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula;

calculating a target power distribution factor matrix according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal served by the communication system and the target subtraction formula and according to a Lagrange multiplier method and a Coueta condition;

and judging whether the target subtraction meets a preset condition or not according to the target power distribution factor matrix, and when the target subtraction meets the preset condition, determining the target power distribution factor matrix as the optimal power distribution factor matrix.

5. The method according to claim 4, wherein the initial power allocation factor matrix is replaced with the target power allocation factor matrix when the target subtraction does not satisfy the predetermined condition according to the target power allocation factor matrix.

6. The method according to claim 4, wherein the determining whether the target subtraction satisfies a predetermined condition according to the target power allocation factor matrix comprises:

constructing an objective function according to the objective subtraction formula;

calculating the dependent variable value of the target function according to the target power distribution factor matrix;

and judging whether the absolute value of the dependent variable value of the target function is smaller than a preset threshold value, and if so, determining that the target subtraction meets a preset condition.

7. The method for precoding a transmitted signal according to claim 2 or 3, wherein the predetermined system and the rate formula are specifically:

wherein,r is the system and rate, B is the system bandwidth, K is the number of user terminals served by the communication system to which the transmitted signal belongs, R_kFor the transmission rate, gamma, of the transmission signal to the kth subscriber terminal_kFor the signal-to-interference ratio, h, in the transmission of the transmission signal to the kth subscriber_kIs the k-th column, F, of the channel response matrix_RFIn order to model the pre-coding matrix,

a variance of white gaussian noise in the process of transmitting a signal for the kth user terminal,

for the k-th column of the digital precoding matrix,

is the k' th column of the digital precoding matrix;

the updated system and rate formula is specifically:

the preset power consumption formula is specifically as follows:

wherein, P_totalFor system power consumption, P_sFor hardware power consumption, P_dFor transmit power consumption, P is a power allocation factor matrix, F_BBFor a digital precoding matrix, G_BBTo modulate a matrix, g_k ^BBIs the k-th column of the modulation matrix; p_kThe square of the power allocation factor for the kth user is simultaneously squared with the elements of the kth column in the power allocation factor matrix.

8. The method for precoding a transmitted signal according to claim 4, wherein the target reduction is specifically:

the energy efficiency factor is as follows:

wherein η is the energy efficiency of the system, K is the number of user terminals served by the communication system to which the transmission signal belongs, P is the power allocation factor matrix_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

the variance of Gaussian white noise in the process of transmitting the transmitting signal to the kth user terminal; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

9. The method according to claim 6, wherein the objective function is specifically:

M＝f(P)-η*g(P)；

wherein M is a dependent variable of an objective function, η is system energy efficiency, K is the number of user terminals served by a communication system to which a transmission signal belongs, P is a power distribution factor matrix, and P is_kThe square of the power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element of the kth column in the power distribution factor matrix is obtained;

the variance of white Gaussian noise in the process of transmitting the transmission signal to the kth user terminal is obtained; h is_kIs the kth column of the channel response matrix; f_RFIs an analog precoding matrix; g_k ^BBIs the k-th column of the modulation matrix; p_sIs hardware power consumption.

10. An apparatus for precoding a transmitted signal, comprising: the device comprises an acquisition module, an analog pre-coding matrix calculation module, a modulation matrix calculation module, a power distribution factor calculation module, a digital pre-coding matrix calculation module and a configuration module;

the acquisition module is used for acquiring a channel response matrix of a channel where the transmission signal is located and hardware energy consumption corresponding to the transmission signal;

the simulation pre-coding matrix calculation module is used for calculating an optimal simulation pre-coding matrix which meets the requirement of the highest energy efficiency of a communication system corresponding to the transmitting signal according to the channel response matrix, the optimal simulation pre-coding matrix formula and the constraint conditions of the simulation pre-coding matrix form, which are obtained by the obtaining module, and a cross entropy optimization algorithm; the analog precoding matrix form constraint condition is the form constraint of a sub-connection hybrid precoding structure adopted by a communication system to which the transmitting signal belongs on the analog precoding matrix;

the modulation matrix calculation module is configured to calculate a modulation matrix according to a zero-forcing precoding algorithm according to the optimal simulated precoding matrix calculated by the simulated precoding matrix calculation module and the channel response matrix acquired by the acquisition module;

the power distribution factor calculation module is configured to calculate, according to the hardware energy consumption obtained by the acquisition module, the channel response matrix obtained by the acquisition module, a preset constraint condition of transmission power, and a preset constraint condition of transmission rate, an optimal power distribution factor matrix that satisfies a condition that a communication system corresponding to the transmission signal has the highest energy efficiency according to an optimal power distribution factor matrix formula;

the digital pre-coding matrix calculation module is used for calculating an optimal digital pre-coding matrix according to a preset digital pre-coding matrix formula according to the modulation matrix calculated by the modulation matrix calculation module and the optimal power distribution factor matrix calculated by the power distribution factor calculation module;

the configuration module is configured to configure a sub-connection hybrid precoding structure corresponding to the transmission signal according to the optimal analog precoding matrix calculated by the analog precoding matrix calculation module and the optimal digital precoding matrix calculated by the digital precoding matrix calculation module;

the optimal simulation precoding matrix formula specifically includes:

wherein, F_RFIs an analog precoding matrix, and H is the channel response matrix;

the optimal power distribution factor matrix formula specifically includes:

wherein K is the number of user terminals served by the communication system to which the transmission signal belongs; p is a power distribution factor matrix; p_sEnergy consumption of hardware; p_kThe square of a power distribution factor corresponding to the kth user terminal is obtained, and meanwhile, the square of the element in the kth column in the P is obtained;

the variance of white Gaussian noise when the transmitting signal is transmitted to the kth user terminal; h is_kIs the kth column of the channel response matrix; g_k ^BBThe k-th column of the modulation matrix.

11. The apparatus for precoding signals of claim 10, further comprising a processing module;

the processing module is used for updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and determining the optimal simulation precoding matrix formula according to the updated system and rate formula and a preset power consumption formula.

12. The apparatus for precoding signals of claim 11, wherein the processing module is further configured to:

updating a preset system and a rate formula according to a zero-forcing pre-coding algorithm to obtain an updated system and rate formula;

and constructing the optimal power distribution factor matrix formula according to the updated system and rate formula and a preset power consumption formula.

13. The apparatus for precoding of a transmitted signal of claim 10, wherein the power allocation factor calculation module is specifically configured to:

converting the optimal power distribution factor matrix formula calculated by the power distribution factor calculation module into a target subtraction formula by using a fractional planning problem lemma;

calculating the initial energy efficiency of the communication system corresponding to the transmitting signal according to the initial power distribution factor matrix and the energy efficiency factor contained in the optimal power distribution factor matrix formula;

calculating a target power distribution factor matrix according to the initial energy efficiency, the constraint condition of the transmission power of the communication system, the transmission rate constraint condition of the user terminal served by the communication system and the target subtraction formula and according to a Lagrange multiplier method and a Coueta condition;

and judging whether the target subtraction meets a preset condition or not according to the target power distribution factor matrix, and when the target subtraction meets the preset condition, determining the target power distribution factor matrix as the optimal power distribution factor matrix.

14. The apparatus for precoding of a transmitted signal of claim 13, wherein the initial power allocation factor matrix is replaced with the target power allocation factor matrix when the power allocation factor calculation module determines that the target subtraction does not satisfy the preset condition according to the target power allocation factor matrix.

15. The apparatus for precoding of a transmission signal as claimed in claim 13, wherein the power allocation factor calculating module determines whether the target subtraction satisfies a predetermined condition according to the target power allocation factor matrix comprises:

constructing an objective function according to the objective subtraction formula;

calculating the dependent variable value of the target function according to the target power distribution factor matrix;

and judging whether the absolute value of the dependent variable value of the target function is smaller than a preset threshold value, and if so, determining that the target subtraction meets a preset condition.

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