CN116321437A - Multi-node coordinated signal transmission method, device, equipment and storage medium - Google Patents

Abstract

The invention discloses a multi-node cooperative signal transmission method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining an energy efficiency equation and a base station grouping mode of the cooperative allocation power of each base station; optimizing an energy efficiency equation according to the base station grouping mode, and determining a target base station grouping mode and a power distribution mode according to the optimized energy efficiency equation; and carrying out signal transmission according to the grouping mode and the power distribution mode of the target base station. According to the invention, the energy efficiency equation of the cooperative power distribution of each base station is determined through some acquired parameters, the energy efficiency equation is subjected to iterative optimization according to the base station grouping mode until the optimal energy efficiency is determined, and the target base station grouping mode and the power distribution mode corresponding to the optimal energy efficiency are obtained, so that multi-angle sensing can be performed according to the target base station grouping mode, and the communication is cooperated through the power distribution mode to improve the general sensing performance and reduce the energy consumption.

Description

Multi-node coordinated signal transmission method, device, equipment and storage medium

technical field

The present invention relates to the field of communication technologies, and in particular to a multi-node coordinated signal transmission method, device, equipment and storage medium.

Background technique

At present, in the communication-sensing integrated system, most of the communication-sensing integrated transmission based on single-point perception is studied. However, single-point sensing is difficult to achieve multi-angle sensing. The sensing mode of the target cannot be flexibly configured. Once the distance between the sending node and the target Longer distances consume more signaling power and have limited perceptual information.

The above content is only used to assist in understanding the technical solution of the present invention, and does not mean that the above content is admitted as prior art.

Contents of the invention

The main purpose of the present invention is to provide a multi-node coordinated signal transmission method, device, equipment and storage medium, aiming to solve the technical problems of low synaesthesia performance and increased energy consumption due to the inability to realize multi-angle perception at a single point.

In order to achieve the above object, the present invention provides a multi-node coordinated signal transmission method, the multi-node coordinated signal transmission method includes the following steps:

Determine the energy efficiency equation and base station grouping method for the cooperative power allocation of each base station;

Optimizing the energy efficiency equation according to the base station grouping method, and determining the target base station grouping method and power allocation method according to the optimized energy efficiency equation;

Signal transmission is performed according to the target base station grouping manner and the power allocation manner.

Optionally, the step of optimizing the energy efficiency equation according to the base station grouping method, and determining the target base station grouping method and power allocation method according to the optimized energy efficiency equation includes:

Optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the current energy efficiency of the optimized energy efficiency equation;

Taking the current energy efficiency as the target energy efficiency, optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the energy efficiency to be processed of the optimized energy efficiency equation;

When the energy efficiency to be processed is greater than the target energy efficiency, use the energy efficiency to be processed as the target energy efficiency;

Go back to the step of optimizing the energy efficiency equation according to the base station grouping method, and determining the energy efficiency of the energy efficiency equation to be processed until the number of the base station grouping methods reaches a preset threshold, and obtain the target base station grouping method and power allocation method.

Optionally, before the step of using the energy efficiency to be processed as the target energy efficiency when the energy efficiency to be processed is greater than the target energy efficiency, further comprising:

When the energy efficiency to be processed is less than or equal to the target energy efficiency, return to the step of optimizing the energy efficiency equation according to the grouping mode of the base stations and determining the energy efficiency to be processed in the energy efficiency equation up to the number of grouping modes of the base stations When the preset threshold is reached, the target base station grouping mode and power allocation mode are obtained.

Optionally, the step of determining the energy efficiency equation for cooperatively allocating power of each base station includes:

According to the communication rate of the communication signal and the receiving strength of the perceived signal, determine the energy efficiency of the cooperative allocation of each base station;

determining constraints on said energy efficiency;

An energy efficiency equation for cooperatively allocating power among base stations is determined according to the energy efficiency and the constraint condition.

Optionally, the step of determining the energy efficiency of cooperative allocation of each base station according to the communication rate of the communication signal and the receiving strength of the perceived signal includes:

Determine the communication rate of the communication signal according to the bandwidth, communication channel parameters, power used by the communication signal and Gaussian white noise power of the communication signal;

Determine the receiving strength of the sensing signal according to the attenuation factor, the steering vector in the angle of the signal transmission and reception, the power used for the sensing signal, and the Gaussian white noise power of the sensing signal;

The energy efficiency of cooperative allocation of each base station is determined according to the weight coefficient, the total power consumption, the communication rate and the receiving strength.

Optionally, the step of optimizing the energy efficiency equation according to the grouping mode of the base stations includes:

Substituting the base station grouping mode into the energy efficiency equation, and analyzing the energy efficiency and the constraints to optimize the energy efficiency equation;

Among them, the optimized energy efficiency equation is:

In the formula, EE represents the energy efficiency, p _sk represents the power used by the sensing signal, p _ck represents the power used by the communication signal, P represents the total power consumption, K represents the number of base stations, B ₁ represents the grouping method of the base stations, ω represents the weight coefficient, R _c represents the communication rate, and γ _s represents the reception strength.

Optionally, the step of determining the base station grouping method includes:

A power set of the base station set is generated according to the base station set, and a base station grouping manner is determined according to the power set.

In addition, in order to achieve the above purpose, the present invention also proposes a multi-node coordinated signal transmission device, the multi-node coordinated signal transmission device includes: a data determination module and a signal transmission module;

The data determination module is used to determine the energy efficiency equation and the base station grouping mode of the cooperative power allocation of each base station;

The data determination module is further configured to optimize the energy efficiency equation according to the base station grouping method, and determine the target base station grouping method and power allocation method according to the optimized energy efficiency equation;

The signal transmission module is configured to perform signal transmission according to the target base station grouping method and the power allocation method.

In addition, in order to achieve the above object, the present invention also proposes a multi-node coordinated signal transmission device, the multi-node coordinated signal transmission device includes a memory, a processor, and a A multi-node coordinated signal transmission program is run, and the multi-node coordinated signal transmission program is configured to implement the multi-node coordinated signal transmission method as described above.

In addition, in order to achieve the above object, the present invention also proposes a storage medium, on which a multi-node coordinated signal transmission program is stored, and when the multi-node coordinated signal transmission program is executed by a processor, the above-mentioned A multi-node coordinated signal transmission method.

The invention discloses a multi-node coordinated signal transmission method, device, equipment and storage medium. The method includes: determining the energy efficiency equation and the base station grouping mode of the cooperative power distribution of each base station; optimizing the energy efficiency equation according to the base station grouping mode, and according to the optimized The post-energy efficiency equation determines the target base station grouping mode and power allocation mode; signal transmission is performed according to the target base station grouping mode and power allocation mode. The present invention determines the energy efficiency equation of cooperative power allocation of each base station through the obtained parameters, and iteratively optimizes the energy efficiency equation according to the base station grouping mode until the optimal energy efficiency is determined, and obtains the target base station grouping mode and power allocation mode corresponding to the optimal energy efficiency, In this way, multi-angle perception can be performed according to the grouping method of the target base station, and the synaesthesia performance can be improved and energy consumption can be reduced through cooperative communication through power allocation.

Description of drawings

FIG. 1 is a schematic structural diagram of a multi-node coordinated signal transmission device in a hardware operating environment involved in the solution of an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a first embodiment of a multi-node coordinated signal transmission method according to the present invention;

3 is a schematic flowchart of a second embodiment of a multi-node coordinated signal transmission method according to the present invention;

FIG. 4 is a schematic flowchart of a third embodiment of a multi-node coordinated signal transmission method according to the present invention;

FIG. 5 is a system diagram of a multi-node coordinated signal transmission system according to an embodiment of a multi-node coordinated signal transmission method according to the present invention.

FIG. 6 is a flow chart of an iterative optimization of an energy efficiency equation in an embodiment of a multi-node coordinated signal transmission method according to the present invention.

FIG. 7 is a structural block diagram of a first embodiment of a multi-node coordinated signal transmission device according to the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

Referring to FIG. 1 , FIG. 1 is a schematic structural diagram of a multi-node coordinated signal transmission device in a hardware operating environment involved in an embodiment of the present invention.

As shown in FIG. 1 , the multi-node coordinated signal transmission device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable memory (Non-volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001 .

Those skilled in the art can understand that the structure shown in Figure 1 does not constitute a limitation on the multi-node coordinated signal transmission equipment, and may include more or less components than those shown in the figure, or combine certain components, or have different Part placement.

As shown in FIG. 1 , the memory 1005 identified as a computer storage medium may include an operating system, a network communication module, a user interface module, and a multi-node cooperative signal transmission program.

In the multi-node coordinated signal transmission device shown in Figure 1, the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to user equipment; the multi-node coordinated The signal transmission device calls the multi-node coordinated signal transmission program stored in the memory 1005 through the processor 1001, and executes the multi-node coordinated signal transmission method provided by the embodiment of the present invention.

Based on the above hardware structure, an embodiment of the multi-node coordinated signal transmission method of the present invention is proposed.

Referring to FIG. 2 , FIG. 2 is a schematic flowchart of a first embodiment of a multi-node coordinated signal transmission method according to the present invention, and proposes a first embodiment of a multi-node coordinated signal transmission method according to the present invention.

Step S10: Determine the energy efficiency equation and grouping method of base stations for cooperatively allocating power.

It should be noted that the execution subject of this embodiment may be a communication dispatching system with functions of data processing, network communication and program operation, for example, a multi-node coordinated signal transmission system or a synesthesia integration system, etc., or other systems that can realize Electronic devices with the same or similar functions are not limited in this embodiment.

It should be understood that at this stage, most of the research is on the integrated communication and perception transmission scheme based on single-point perception, that is, the signal returns directly to the sending node through the sensing target. Traditional single-point sensing can only obtain the backscattering characteristics of the target, and the sensing information is limited. In addition, once the distance between the sending node and the target is long, more signal transmission power needs to be consumed, and higher system energy consumption can be used to meet the sensing requirements; on the other hand, if there is an occlusion between the sending node and the sensing target, It will also cause the synesthesia signal not to be transmitted to the target.

In order to overcome the above-mentioned defects, this embodiment acquires some parameters to determine the energy efficiency equation for the cooperative power allocation of each base station. At the same time, in order to establish cooperative sensing, determine the grouping method of multiple base stations, and iteratively optimize the energy efficiency equation according to the grouping method of the base stations until the optimal energy efficiency is determined. , and obtain the target base station grouping mode and power allocation scheme under the optimal energy efficiency, so that multi-angle sensing can be performed according to the target base station grouping mode, and the synaesthesia performance can be improved and energy consumption can be reduced through cooperative communication through power allocation mode.

It should be noted that this embodiment can not only obtain target multi-angle sensing information based on multi-node cooperative sensing to further improve sensing performance, but also improve communication performance by obtaining antenna gain.

It should be noted that the energy efficiency of cooperative allocation of each base station is determined according to the communication rate of the communication signal, the receiving strength of the perceived signal, and some parameters, and the purpose of improving the energy efficiency of the system is achieved through reasonable clustering of the base stations, thereby optimizing the energy efficiency to obtain The energy efficiency equation of all base stations cooperatively allocating power.

Further, in order to form multi-node cooperative communication and improve synaesthesia performance, step S10 of this embodiment may include:

A power set of the base station set is generated according to the base station set, and a base station grouping manner is determined according to the power set.

It can be understood that the number of all base stations {1,2,l,K} in the synesthesia integrated system is obtained, and the power set Ω={B ₁ ,B ₂ , L, B _L }, indicating that there are L=2 ^K total possible combinations of K base stations. For example, when l=1, the base station grouping method may be B ₁ .

Step S20: Optimizing the energy efficiency equation according to the base station grouping method, and determining the target base station grouping method and power allocation method according to the optimized energy efficiency equation.

What needs to be explained is that different base station grouping methods are substituted into the energy efficiency equation, and the energy efficiency equation is iteratively optimized until all base station grouping methods are iteratively completed, the optimal energy efficiency in the iterative process is obtained, and the target corresponding to the optimal energy efficiency is determined Base station grouping method and power allocation.

It should be understood that, in the iterative optimization process of energy efficiency backhaul, the energy efficiency obtained by the current optimization is compared with the energy efficiency obtained by the previous optimization. When the current energy efficiency is greater than the previous energy efficiency, the current energy efficiency is taken as the optimal energy efficiency. In the last energy efficiency, the last optimal energy efficiency is maintained, and the iterative comparison is continued until all base station grouping methods are iteratively completed, and the optimal energy efficiency in the iterative process is obtained.

It can be understood that the energy efficiency equation in the current base station grouping mode can be obtained by directly solving the energy efficiency equation through the CVX tool, and a power allocation scheme corresponding to the energy efficiency can be obtained.

Further, in order to improve the synesthesia performance, step S20 of this embodiment may include:

Substituting the grouping mode of the base stations into the energy efficiency equation, and analyzing the energy efficiency and the constraints to optimize the energy efficiency equation.

It should be noted that the energy efficiency equation for an optimization can be:

In the formula, EE represents energy efficiency, p _sk represents the power used for sensing signals, p _ck represents the power used for communication signals, P represents the total power consumed, K represents the number of base stations, B ₁ represents the grouping method of base stations, ω represents the weight coefficient, R _c represents the communication rate, and γ _s represents the reception strength.

Step S30: performing signal transmission according to the target base station grouping method and the power allocation method.

For ease of understanding, refer to Figure 5 for illustration. Figure 5 is a multi-node coordinated signal transmission system diagram. In the figure, there are multiple base stations, a sensing target and a user. The base station is a synaesthesia transmitter that sends synaesthesia signals To the downlink user and sensing target, the user is a synesthesia integrated receiver. The base stations can be clustered according to the grouping method of the target base stations, and the power is allocated according to the power distribution method in the group, and the sensing signal is received by the user after being reflected by the sensing target and the communication signal is directly sent to the user. θ _T,1 and θ _T,2 represent the steering vector on the transmission angle _of the sensing signal on the path from the base station to the sensing target and then to the user. The steering vector at the angle of the received perceived signal.

In this embodiment, the energy efficiency equation and the base station grouping method for the cooperative power allocation of each base station are determined; the energy efficiency equation is optimized according to the grouping method of the base stations, and the target base station grouping method and power distribution method are determined according to the optimized energy efficiency equation; according to the target base station grouping method and power distribution method for signal transmission. The present invention determines the energy efficiency equation of cooperative power allocation of each base station through the obtained parameters, and iteratively optimizes the energy efficiency equation according to the base station grouping mode until the optimal energy efficiency is determined, and obtains the target base station grouping mode and power allocation mode corresponding to the optimal energy efficiency, In this way, multi-angle perception can be performed according to the grouping method of the target base station, and the synaesthesia performance can be improved and energy consumption can be reduced through cooperative communication through power allocation.

Referring to FIG. 3, FIG. 3 is a schematic flowchart of the second embodiment of the multi-node coordinated signal transmission method of the present invention. Based on the first embodiment shown in FIG. 2 above, a second implementation of the multi-node coordinated signal transmission method of the present invention is proposed example.

In the second embodiment, the step S20 includes:

Step S201: Optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the current energy efficiency of the optimized energy efficiency equation.

In the specific implementation, the first base station grouping method is selected in the power set of the base station set, and the first base station grouping method is substituted into the energy efficiency equation for optimization, and the current energy efficiency is obtained by solving the first optimized energy efficiency equation with the CVX tool, namely Obtain the current energy efficiency EE ₁ of the first base station grouping mode of B ₁ , and use the current energy efficiency as the optimal energy efficiency.

Step S202: Taking the current energy efficiency as the target energy efficiency, optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the energy efficiency to be processed of the optimized energy efficiency equation.

It can be understood that each base station grouping method needs to be substituted into the energy efficiency equation to calculate and compare the obtained base station grouping method corresponding to the optimal energy efficiency.

It should be understood that after the current energy efficiency is assigned to the target energy efficiency, the target energy efficiency is the current optimal energy efficiency, and is compared with the energy efficiency to be processed calculated in the next cycle.

Step S203: When the energy efficiency to be processed is greater than the target energy efficiency, use the energy efficiency to be processed as the target energy efficiency.

It should be understood that when the energy efficiency to be processed is greater than the target energy efficiency, the energy efficiency to be processed is assigned to the target energy efficiency, and at this time the target energy efficiency is the optimal energy efficiency. For example, for the energy efficiency EE _l to be processed and the target energy efficiency EE _max , it is judged whether EE _l is greater than EE _max , and if it is greater, EE _max =EE _l is set.

Further, in order to reduce energy consumption, this embodiment also includes before step S203:

When the energy efficiency to be processed is less than or equal to the target energy efficiency, return to the step of optimizing the energy efficiency equation according to the grouping mode of the base stations and determining the energy efficiency to be processed in the energy efficiency equation up to the number of grouping modes of the base stations When the preset threshold is reached, the target base station grouping mode and power allocation mode are obtained.

It is understandable that when the energy efficiency to be processed is less than the target energy efficiency, the target energy efficiency is not assigned, and the energy efficiency to be processed is filtered. At this time, the target energy efficiency is still the optimal energy efficiency, and the next cycle is continuously compared until all base station grouping methods are Substitute it into the energy efficiency equation, and obtain the compared optimal energy efficiency and the base station grouping method and power allocation scheme corresponding to the optimal energy efficiency after the iteration.

Step S204: Return to the step of optimizing the energy efficiency equation according to the base station grouping method, and determining the energy efficiency of the energy efficiency equation to be processed until the number of the base station grouping methods reaches a preset threshold, and obtain the target base station grouping method and power Allocation.

It can be understood that the preset threshold is the number of ways all base stations are willing to group, which may be L= ^2K .

In specific implementation, for example, when EE _max >EE _l , continue to set l=l+1, calculate the energy efficiency EE _l of the synaesthesia system until l=L, output the maximum energy efficiency EE _max , and output the corresponding base station grouping method B _l with its power allocation schemes p _sk and p _ck ,

For ease of understanding, description will be made with reference to FIG. 6 , which is a flow chart of iterative optimization of the energy efficiency equation. In the figure, the initialization parameters l = 1, EE _max = 0, optimize the energy efficiency equation according to the base station grouping method B ₁ , solve the optimized energy efficiency equation to obtain the current energy efficiency, that is, the optimal energy efficiency, judge that EE _max > EE _l , if so, set EE _max = EE _l , l=l+1, if otherwise the optimal energy efficiency is still EE _max , judge l>L, if yes, output the optimal energy efficiency EE _max , and determine the base station grouping method and power allocation scheme corresponding to the optimal energy efficiency. Otherwise, continue to solve the energy efficiency equation according to the base station grouping method.

In this embodiment, the energy efficiency equation is optimized according to the grouping method of the base stations, and the current energy efficiency of the optimized energy efficiency equation is determined; the current energy efficiency is used as the target energy efficiency, the energy efficiency equation is optimized according to the grouping method of the base stations, and the optimized energy efficiency is determined. The energy efficiency to be processed of the energy efficiency equation; when the energy efficiency to be processed is greater than the target energy efficiency, use the energy efficiency to be processed as the target energy efficiency; return the optimization of the energy efficiency equation according to the grouping mode of the base station, and determine the The step of the energy efficiency to be processed in the above energy efficiency equation is until the number of base station grouping methods reaches a preset threshold, and the target base station grouping method and power allocation method are obtained. This embodiment iteratively optimizes the energy efficiency equation, determines the optimal energy efficiency and obtains the target base station grouping method and power allocation method corresponding to the optimal energy efficiency, and uses the target base station grouping method and power allocation method for communication, which not only improves the flexibility of the sensing mode performance, and can improve the performance of the entire synaesthesia integration system.

Referring to FIG. 4, FIG. 4 is a schematic flowchart of the third embodiment of the multi-node coordinated signal transmission method of the present invention. Based on the first embodiment shown in FIG. 2 above, a third implementation of the multi-node coordinated signal transmission method of the present invention is proposed example.

In the third embodiment, the step S10 includes:

Step S101: Determine the energy efficiency of cooperative allocation of each base station according to the communication rate of the communication signal and the receiving strength of the perceived signal.

It should be noted that the energy efficiency of cooperative allocation of each base station is determined according to the weight coefficient, the total power consumption, the communication rate and the receiving strength.

It should be understood that the communication rate of the communication signal is the rate at which the base station sends the communication signal to the user, and the received strength of the sensing signal means that the stronger the sensing signal is, the more information is sensed.

Further, in order to determine the energy efficiency of cooperative allocation of each base station, step S101 of this embodiment may include:

Determine the communication rate of the communication signal according to the bandwidth, communication channel parameters, power used by the communication signal and Gaussian white noise power of the communication signal;

Determine the receiving strength of the sensing signal according to the attenuation factor, the steering vector in the angle of the signal transmission and reception, the power used for the sensing signal, and the Gaussian white noise power of the sensing signal;

The energy efficiency of cooperative allocation of each base station is determined according to the weight coefficient, the total power consumption, the communication rate and the receiving strength.

It should be noted that the communication rate of the communication signal may be:

In the formula, R _c represents the communication rate of the communication signal, W represents the bandwidth, h _ck represents the communication channel parameter, p _ck represents the power used by the communication signal, σ ² _c represents the Gaussian white noise power of the communication signal, k represents the identity of the base station, B _l Indicates the base station grouping method.

The received strength of the perceived signal can be:

In the formula, γ _s represents the receiving strength of the perceived signal, β _k represents the attenuation factor, α(θ _T,k ) represents the steering vector of the signal emission in the angle, α(θ _R,k ) represents the direction of the signal emission in the angle Vector, σ ² _s represents the Gaussian white noise power of the perceptual signal, and p _sk represents the power used by the perceptual signal.

The energy efficiency of cooperative allocation of each base station can be:

In the formula, ω represents the weight coefficient, and P represents the total power consumption.

Step S102: Determine the constraints of the energy efficiency.

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It should be noted that the constraints can be

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Step S103: Determine an energy efficiency equation for cooperatively allocating power of each base station according to the energy efficiency and the constraint condition.

It should be noted that the energy efficiency equation can be:

B _l ∈ Ω.

In the formula, EE represents energy efficiency, l represents the number of base station grouping methods, and Ω represents the power set of base station grouping methods.

In this embodiment, the energy efficiency of cooperative allocation of each base station is determined according to the communication rate of the communication signal and the receiving strength of the sensing signal; the constraint condition of the energy efficiency is determined; the energy efficiency of the cooperative allocation power of each base station is determined according to the energy efficiency and the constraint condition energy efficiency equation. In this embodiment, the energy efficiency and constraint conditions of cooperative allocation of each base station are successively determined, and an energy efficiency equation is determined according to the energy efficiency and constraint conditions, so that a communication mode is designed based on the energy efficiency equation, and the synaesthesia performance of synaesthesia integration is improved.

In addition, referring to FIG. 7 , an embodiment of the present invention also proposes a multi-node coordinated signal transmission device, the multi-node coordinated signal transmission device includes: a data determination module 10 and a signal transmission module 20;

The data determination module 10 is used to determine the energy efficiency equation and the base station grouping mode of each base station for cooperatively allocating power;

The data determination module 10 is further configured to optimize the energy efficiency equation according to the base station grouping method, and determine the target base station grouping method and power allocation method according to the optimized energy efficiency equation;

The signal transmission module 20 is configured to perform signal transmission according to the target base station grouping method and the power allocation method.

In this embodiment, the energy efficiency equation and the base station grouping method for the cooperative power allocation of each base station are determined; the energy efficiency equation is optimized according to the grouping method of the base stations, and the target base station grouping method and power distribution method are determined according to the optimized energy efficiency equation; according to the target base station grouping method and power distribution method for signal transmission. The present invention determines the energy efficiency equation of cooperative power allocation of each base station through the obtained parameters, and iteratively optimizes the energy efficiency equation according to the base station grouping mode until the optimal energy efficiency is determined, and obtains the target base station grouping mode and power allocation mode corresponding to the optimal energy efficiency, In this way, multi-angle perception can be performed according to the grouping method of the target base station, and the synaesthesia performance can be improved and energy consumption can be reduced through cooperative communication through power allocation.

In addition, an embodiment of the present invention also proposes a storage medium, on which a multi-node coordinated signal transmission program is stored, and when the multi-node coordinated signal transmission program is executed by a processor, the multi-node communication as described above is realized. Coordinated signaling method.

Based on the above-mentioned first embodiment of the multi-node coordinated signal transmission device of the present invention, a second embodiment of the multi-node coordinated signal transmission device of the present invention is proposed.

In this embodiment, the data determination module 10 is configured to optimize the energy efficiency equation according to the grouping mode of the base stations, and determine the current energy efficiency of the optimized energy efficiency equation.

Further, the data determination module 10 is further configured to use the current energy efficiency as the target energy efficiency, optimize the energy efficiency equation according to the grouping mode of the base stations, and determine the energy efficiency to be processed of the optimized energy efficiency equation.

Further, the data determination module 10 is further configured to use the energy efficiency to be processed as the target energy efficiency when the energy efficiency to be processed is greater than the target energy efficiency.

Further, the data determination module 10 is further configured to return to the step of optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the energy efficiency to be processed of the energy efficiency equation until the number of the grouping modes of the base stations reaches a predetermined value. The threshold is set to obtain the grouping mode and power allocation mode of the target base stations.

Further, the data determination module 10 is further configured to return to the optimization of the energy efficiency equation according to the grouping mode of the base stations when the energy efficiency to be processed is less than or equal to the target energy efficiency, and determine the energy efficiency equation The step of processing the energy efficiency is until the number of base station grouping modes reaches a preset threshold, and obtains the target base station grouping mode and power allocation mode.

Further, the data determining module 10 is further configured to determine the energy efficiency of cooperative allocation of each base station according to the communication rate of the communication signal and the receiving strength of the perceived signal.

Further, the data determination module 10 is also used to determine the constraints of the energy efficiency.

Further, the data determination module 10 is further configured to determine an energy efficiency equation for cooperatively allocating power of each base station according to the energy efficiency and the constraints.

Further, the data determination module 10 is further configured to determine the communication rate of the communication signal according to the bandwidth, communication channel parameters, power used by the communication signal, and Gaussian white noise power of the communication signal.

Further, the data determination module 10 is further configured to determine the receiving strength of the sensing signal according to the attenuation factor, the steering vector of the signal transmission and reception angles, the power used for the sensing signal, and the Gaussian white noise power of the sensing signal.

Further, the data determining module 10 is further configured to determine the energy efficiency of cooperative allocation of each base station according to the weight coefficient, the total power consumption, the communication rate and the receiving strength.

Further, the data determination module 10 is further configured to substitute the grouping mode of base stations into the energy efficiency equation, and analyze the energy efficiency and the constraints to optimize the energy efficiency equation.

Further, the data determination module 10 is further configured to generate a power set of the base station set according to the base station set, and determine a base station grouping method according to the power set.

For other embodiments or specific implementations of the multi-node coordinated signal transmission device of the present invention, reference may be made to the foregoing method embodiments, and details are not repeated here.

It should be noted that, as used herein, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or system comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or system. Without further limitations, an element defined by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article or system comprising that element.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as a read-only memory image (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM, disk, CD), including several instructions to make a terminal device (which can be a mobile phone, computer, server, air conditioner, or network equipment, etc.) ) to perform the methods described in various embodiments of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (10)

1. a signal transmission method of multi-node coordination, it is characterized in that, the signal transmission method of described multi-node coordination comprises the following steps: Determine the energy efficiency equation and base station grouping method for the cooperative power allocation of each base station; Optimizing the energy efficiency equation according to the base station grouping method, and determining the target base station grouping method and power allocation method according to the optimized energy efficiency equation; Signal transmission is performed according to the target base station grouping manner and the power allocation manner. 2. The multi-node coordinated signal transmission method according to claim 1, wherein the energy efficiency equation is optimized according to the base station grouping method, and the target base station grouping method and power allocation method are determined according to the optimized energy efficiency equation steps, including: Optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the current energy efficiency of the optimized energy efficiency equation; Taking the current energy efficiency as the target energy efficiency, optimizing the energy efficiency equation according to the grouping mode of the base stations, and determining the energy efficiency to be processed of the optimized energy efficiency equation; When the energy efficiency to be processed is greater than the target energy efficiency, use the energy efficiency to be processed as the target energy efficiency; Go back to the step of optimizing the energy efficiency equation according to the base station grouping method, and determining the energy efficiency of the energy efficiency equation to be processed until the number of the base station grouping methods reaches a preset threshold, and obtain the target base station grouping method and power allocation method. 3. The multi-node coordinated signal transmission method according to claim 2, wherein when the energy efficiency to be processed is greater than the target energy efficiency, before the step of using the energy efficiency to be processed as the target energy efficiency ,Also includes: When the energy efficiency to be processed is less than or equal to the target energy efficiency, return to the step of optimizing the energy efficiency equation according to the grouping mode of the base stations and determining the energy efficiency to be processed in the energy efficiency equation up to the number of grouping modes of the base stations When the preset threshold is reached, the target base station grouping mode and power allocation mode are obtained. 4. The signal transmission method of multi-node coordination as claimed in claim 1, wherein the step of determining the energy efficiency equation of each base station for cooperatively allocating power comprises: According to the communication rate of the communication signal and the receiving strength of the perceived signal, determine the energy efficiency of the cooperative allocation of each base station; determining constraints on said energy efficiency; An energy efficiency equation for cooperatively allocating power among base stations is determined according to the energy efficiency and the constraint condition. 5. The multi-node coordinated signal transmission method according to claim 4, wherein the step of determining the energy efficiency of each base station's coordinated distribution according to the communication rate of the communication signal and the receiving strength of the perceived signal comprises: Determine the communication rate of the communication signal according to the bandwidth, communication channel parameters, power used by the communication signal and Gaussian white noise power of the communication signal; Determine the receiving strength of the sensing signal according to the attenuation factor, the steering vector in the angle of the signal transmission and reception, the power used for the sensing signal, and the Gaussian white noise power of the sensing signal; The energy efficiency of cooperative allocation of each base station is determined according to the weight coefficient, the total power consumption, the communication rate and the receiving strength. 6. The multi-node coordinated signal transmission method according to any one of claims 1 to 5, wherein the step of optimizing the energy efficiency equation according to the base station grouping method comprises: Substituting the base station grouping mode into the energy efficiency equation, and analyzing the energy efficiency and the constraints to optimize the energy efficiency equation; Among them, the optimized energy efficiency equation is:

In the formula, EE represents the energy efficiency, p _sk represents the power used by the sensing signal, p _ck represents the power used by the communication signal, P represents the total power consumption, K represents the number of base stations, B ₁ represents the grouping method of the base stations, ω represents the weight coefficient, R _c represents the communication rate, and γ _s represents the reception strength. 7. The multi-node coordinated signal transmission method according to any one of claims 1 to 5, wherein the step of determining the base station grouping method includes: A power set of the base station set is generated according to the base station set, and a base station grouping manner is determined according to the power set. 8. A multi-node coordinated signal transmission device, characterized in that, the multi-node coordinated signal transmission device comprises: a data determination module and a signal transmission module; The data determination module is used to determine the energy efficiency equation and the base station grouping mode of the cooperative power allocation of each base station; The data determination module is further configured to optimize the energy efficiency equation according to the base station grouping method, and determine the target base station grouping method and power allocation method according to the optimized energy efficiency equation; The signal transmission module is configured to perform signal transmission according to the target base station grouping method and the power allocation method. 9. A multi-node coordinated signal transmission device, characterized in that the multi-node coordinated signal transmission device includes: a memory, a processor, and a multi-node stored in the memory and operable on the processor A coordinated signal transmission program, when the multi-node coordinated signal transmission program is executed by the processor, the steps of the multi-node coordinated signal transmission method according to any one of claims 1 to 7 are realized. 10. A storage medium, characterized in that a multi-node coordinated signal transmission program is stored on the storage medium, and when the multi-node coordinated signal transmission program is executed by a processor, any one of claims 1 to 7 is implemented. The steps of the multi-node coordinated signal transmission method described in the item.

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