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

Abstract

The application discloses a kind of multi-node coordination signal transmission method, device, equipment and storage medium, the method comprises: determining the energy efficiency equation of each base station cooperative power allocation and base station grouping mode;According to the energy efficiency equation of base station grouping mode optimization, and according to the target base station grouping mode and power allocation mode of optimized energy efficiency equation are determined;According to the target base station grouping mode and power allocation mode, signal transmission is carried out.The energy efficiency equation of each base station cooperative power allocation is determined by some parameters obtained by the application, and the energy efficiency equation is iteratively optimized according to the base station grouping mode until the optimal energy efficiency is determined, and the target base station grouping mode and power allocation mode corresponding to the optimal energy efficiency are obtained, so that multi-angle perception can be carried out according to the target base station grouping mode, and the communication is improved by power allocation mode Coordination can improve the sensing performance and reduce energy consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, in particular to a multi-node cooperative signal transmission method and device, equipment and storage medium. BACKGROUND

[0002] At present, in the communication and perception integrated system, most of the research is on the communication and perception integrated transmission based on single-point perception. However, single-point perception cannot realize the perception mode of multi-angle perception targets, and cannot be flexibly configured. Once the distance between the sending node and the target is far, more signal sending power needs to be consumed, and the perception information is limited.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0004] The main purpose of the present application is to provide a multi-node cooperative signal transmission method, device, equipment and storage medium, which aims to solve the technical problem of low communication and perception performance and increased energy consumption caused by single-point unable to realize multi-angle perception.

[0005] To achieve the above purpose, the present application provides a multi-node cooperative signal transmission method, which comprises the following steps:

[0006] Determine the energy efficiency equation of the cooperative power allocation of each base station and the base station grouping mode;

[0007] Optimize the energy efficiency equation according to the base station grouping mode, and determine the target base station grouping mode and power allocation mode according to the optimized energy efficiency equation;

[0008] According to the target base station grouping mode and the power allocation mode, the signal transmission is carried out.

[0009] Optionally, the step of optimizing the energy efficiency equation according to the base station grouping mode, and determining the target base station grouping mode and power allocation mode according to the optimized energy efficiency equation, comprises:

[0010] Optimize the energy efficiency equation according to the base station grouping mode, and determine the current energy efficiency of the optimized energy efficiency equation;

[0011] Take the current energy efficiency as the target energy efficiency, optimize the energy efficiency equation according to the base station grouping mode, and determine the to-be-processed energy efficiency of the optimized energy efficiency equation;

[0012] When the to-be-processed energy efficiency is greater than the target energy efficiency, take the to-be-processed energy efficiency as the target energy efficiency;

[0013] Return to the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the energy efficiency to be processed of the energy efficiency equation until the number of base station grouping modes reaches a preset threshold, obtaining a target base station grouping mode and a power allocation mode.

[0014] Optionally, before the step of taking 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, it further includes:

[0015] 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 base station grouping mode and determining the energy efficiency to be processed of the energy efficiency equation until the number of base station grouping modes reaches a preset threshold, obtaining a target base station grouping mode and a power allocation mode.

[0016] Optionally, the step of determining the energy efficiency equation of the power allocation of each base station includes:

[0017] Determining the energy efficiency of the power allocation of each base station according to the communication rate of the communication signal and the received intensity of the sensing signal;

[0018] Determining the constraint condition of the energy efficiency;

[0019] Determining the energy efficiency equation of the power allocation of each base station according to the energy efficiency and the constraint condition.

[0020] Optionally, the step of determining the energy efficiency of the power allocation of each base station according to the communication rate of the communication signal and the received intensity of the sensing signal includes:

[0021] Determining the communication rate of the communication signal according to the bandwidth, the communication channel parameter, the power used by the communication signal, and the Gaussian white noise power of the communication signal;

[0022] Determining the received intensity of the sensing signal according to the attenuation factor, the directional vector of the transmission and reception of the signal in angle, the power used by the sensing signal, and the Gaussian white noise power of the sensing signal;

[0023] Determining the energy efficiency of the power allocation of each base station according to the weight coefficient, the total power consumed, the communication rate, and the received intensity.

[0024] Optionally, the step of optimizing the energy efficiency equation according to the base station grouping mode includes:

[0025] Substituting the base station grouping mode into the energy efficiency equation and analyzing the energy efficiency and the constraint condition to optimize the energy efficiency equation;

[0026] Wherein, the optimized energy efficiency equation is:

[0027]

[0028]

[0029]

[0030] 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, B1 represents the base station grouping manner, ω represents the weight coefficient, R c represents the communication rate, γ s represents the receiving intensity.

[0031] Optionally, the step of determining the base station grouping manner comprises:

[0032] According to the power set of the base station set, the base station grouping manner is determined.

[0033] In addition, to achieve the above object, the present application further provides a multi-node cooperative signal transmission device, which comprises a data determination module and a signal transmission module.

[0034] The data determination module is used for determining the energy efficiency equation of power allocation of each base station in cooperation and the base station grouping manner.

[0035] The data determination module is further used for optimizing the energy efficiency equation according to the base station grouping manner, and determining the target base station grouping manner and the power allocation manner according to the optimized energy efficiency equation.

[0036] The signal transmission module is used for performing signal transmission according to the target base station grouping manner and the power allocation manner.

[0037] In addition, to achieve the above object, the present application further provides a multi-node cooperative signal transmission device, which comprises a memory, a processor and a multi-node cooperative signal transmission program stored in the memory and executable on the processor, and the multi-node cooperative signal transmission program is configured to implement the multi-node cooperative signal transmission method as described above.

[0038] In addition, to achieve the above object, the present application further provides a storage medium, which stores a multi-node cooperative signal transmission program, and the multi-node cooperative signal transmission program is executed by a processor to implement the multi-node cooperative signal transmission method as described above.

[0039] The application discloses a multi-node cooperative signal transmission method and device, equipment and a storage medium, and relates to the technical field of signal transmission. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1 It is a structural schematic diagram of the multi-node cooperative signal transmission device of the hardware running environment related to the embodiment scheme of the application.

[0041] Figure 2 It is a flowchart of the multi-node cooperative signal transmission method of the first embodiment of the application.

[0042] Figure 3 It is a flowchart of the multi-node cooperative signal transmission method of the second embodiment of the application.

[0043] Figure 4 It is a flowchart of the multi-node cooperative signal transmission method of the third embodiment of the application.

[0044] Figure 5 It is a multi-node cooperative signal transmission system diagram of an embodiment of the multi-node cooperative signal transmission method of the application.

[0045] Figure 6 It is an energy efficiency equation iterative optimization flowchart of an embodiment of the multi-node cooperative signal transmission method of the application.

[0046] Figure 7 It is a structural block diagram of the first embodiment of the multi-node cooperative signal transmission device of the application.

[0047] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

[0049] REFERENCE Figure 1 , Figure 1 It is a structural schematic diagram of the multi-node cooperative signal transmission device of the hardware running environment related to the embodiment scheme of the application.

[0050] As Figure 1 shown, the multi-node cooperative signal transmission device can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection communication between the components. The user interface 1003 can include a display screen (Display), and the optional user interface 1003 can further include a standard wired interface, a wireless interface. The wired interface of the user interface 1003 can be a USB interface in the present application. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 can be a high-speed random access memory (RAM), and can also be a stable memory (Non-volatile Memory, NVM), such as a disk memory. The memory 1005 can also be an independent storage device from the aforementioned processor 1001.

[0051] Those skilled in the art can understand that Figure 1 the structure shown in the above description does not constitute a limitation on the multi-node cooperative signal transmission device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0052] As Figure 1 shown, the memory 1005, which is identified as a computer storage medium, can include an operating system, a network communication module, a user interface module, and a multi-node cooperative signal transmission program.

[0053] In Figure 1 the multi-node cooperative signal transmission device, the network interface 1004 is mainly used to connect a background server and communicate data with the background server; the user interface 1003 is mainly used to connect a user device; the multi-node cooperative signal transmission device calls the multi-node cooperative signal transmission program stored in the memory 1005 through the processor 1001, and executes the multi-node cooperative signal transmission method provided by the embodiment of the present application.

[0054] Based on the above hardware structure, embodiments of the multi-node cooperative signal transmission method of the present application are proposed.

[0055] Referring to Figure 2 , Figure 2 the flowchart of the first embodiment of the multi-node cooperative signal transmission method of the present application, the first embodiment of the multi-node cooperative signal transmission method of the present application is proposed.

[0056] Step S10: Determine the energy efficiency equation of the power allocation of each base station and the base station grouping method.

[0057] It should be noted that the execution subject of the embodiment can be a communication scheduling system with data processing, network communication and program running functions, such as a multi-node cooperative signal transmission system or a sensing-integrated system, or other electronic devices capable of achieving the same or similar functions, and the embodiment does not limit this.

[0058] It should be understood that at present, the communication and sensing integrated transmission scheme based on single-point sensing is mostly studied, that is, the signal is directly returned to the sending node through the sensing target. The traditional single-point sensing can only obtain the backscattering characteristics of the target, and the sensing information is limited. In addition, if the distance between the sending node and the target is far, more signal sending power needs to be consumed, and higher system energy consumption is required to meet the sensing demand. On the other hand, if there is an obstruction between the sending node and the sensing target, the communication and sensing signal cannot be transmitted to the target.

[0059] In order to overcome the above defects, some parameters are obtained in the embodiment to determine the energy efficiency equation of the power allocation of each base station. In order to establish cooperative sensing to determine the grouping method of multiple base stations, the energy efficiency equation is iteratively optimized according to the base station grouping method until the optimal energy efficiency is determined, and the target base station grouping method and power allocation scheme under the optimal energy efficiency are obtained, so that multi-angle sensing can be performed according to the target base station grouping method, and the communication performance is improved and the energy consumption is reduced through the power allocation method.

[0060] It should be noted that the embodiment not only can obtain multi-angle sensing information of the target through cooperative sensing of multiple nodes to further improve the sensing performance, but also can improve the communication performance through the antenna gain.

[0061] It should be noted that the energy efficiency of the cooperative allocation of each base station is determined according to the communication rate of the communication signal and the received intensity of the sensing signal and some parameters, and the system energy efficiency is improved through the reasonable clustering of the base stations, so as to optimize the energy efficiency and obtain the energy efficiency equation of the cooperative power allocation of each base station.

[0062] Further, in order to form multi-node cooperative communication and improve the sensing performance, step S10 of the embodiment can include:

[0063] Generating a power set of the base station set according to the base station set, and determining a base station grouping method according to the power set.

[0064] It can be understood that all base stations in the sensing-integrated system are obtained {1,2,l,K}, and the power set Ω of the K base station sets {1,2,L,K} is generated = {B1,B2,L,BL}, which represents the total number of all possible combinations of K base stations is L = 2 K For example, when l = 1, the base station grouping manner can be B1.

[0065] Step S20: optimizing the energy efficiency equation according to the base station grouping manner, and determining the target base station grouping manner and power allocation manner according to the optimized energy efficiency equation.

[0066] It should be noted that different base station grouping manners are substituted into the energy efficiency equation, and the energy efficiency equation is iteratively optimized until all base station grouping manners are iteratively completed, the optimal energy efficiency in the iteration process is obtained, and the target base station grouping manner and power allocation corresponding to the optimal energy efficiency are determined.

[0067] It should be understood that in the iterative optimization process of the energy efficiency equation, the energy efficiency obtained by the current optimization is compared with the energy efficiency obtained by the last optimization. When the current energy efficiency is greater than the last energy efficiency, the current energy efficiency is taken as the optimal energy efficiency. When the current energy efficiency is less than the last energy efficiency, the last optimal energy efficiency is maintained, and the iteration comparison is continued until all base station grouping manners are iteratively completed, and the optimal energy efficiency in the iteration process is obtained.

[0068] It can be understood that the energy efficiency under the current base station grouping manner can be directly solved by the CVX tool, and the power allocation scheme corresponding to the energy efficiency can be obtained.

[0069] Further, in order to improve the sensing performance, the step S20 of the embodiment can include:

[0070] Substituting the base station grouping manner into the energy efficiency equation, and analyzing the energy efficiency and the constraint condition to optimize the energy efficiency equation.

[0071] It should be noted that the energy efficiency equation for one optimization can be:

[0072]

[0073]

[0074]

[0075] In the formula, EE represents the 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 consumption, K represents the number of base stations, B1 represents the base station grouping manner, ω represents the weight coefficient, R c represents the communication rate, γ s represents the received intensity.

[0076] Step S30: transmitting signals according to the target base station grouping mode and the power allocation mode.

[0077] For the convenience of understanding, referring to Figure 5 for description, Figure 5 is a multi-node cooperative signal transmission system diagram, which has multiple base stations, a sensing target and a user, the base station is a sensing and communication integrated transmitter, which transmits sensing and communication integrated signals to the downlink user and the sensing target, and the user is a sensing and communication integrated receiver. The base stations can be clustered according to the target base station grouping mode, and the power is allocated in the group according to the power allocation mode. The sensing signal is reflected by the sensing target and received by the user, and the communication signal is directly transmitted to the user. T,1 and T,2 represent the steering vector of the sensing signal transmission angle on the path from the base station to the sensing target and then to the user. R,k represents the steering vector of the user's receiving angle of the sensing signal on the path from the base station to the sensing target and then to the user.

[0078] The embodiment determines the energy efficiency equation of the cooperative power allocation of each base station and the base station grouping mode; optimizes the energy efficiency equation according to the base station grouping mode, and determines the target base station grouping mode and the power allocation mode according to the optimized energy efficiency equation; and transmits signals according to the target base station grouping mode and the power allocation mode. The energy efficiency equation of the cooperative power allocation of each base station is determined by obtaining some parameters, and the energy efficiency equation is iteratively optimized according to the base station grouping mode until the optimal energy efficiency is determined, and the target base station grouping mode and the power allocation 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 sensing and communication performance can be improved and the energy consumption can be reduced through the cooperative communication.

[0079] For the convenience of understanding, referring to Figure 3 , Figure 3 is a flowchart of the second embodiment of the multi-node cooperative signal transmission method of the present application, which is based on the first embodiment shown in the above Figure 2 The second embodiment of the multi-node cooperative signal transmission method of the present application is proposed.

[0080] In the second embodiment, the step S20 comprises:

[0081] Step S201: optimizing the energy efficiency equation according to the base station grouping mode, and determining the current energy efficiency of the optimized energy efficiency equation.

[0082] In a specific implementation, the first base station grouping mode is selected in the power set of the base station set, the first base station grouping mode is substituted into the energy efficiency equation for optimization, and the current energy efficiency of the first optimized energy efficiency equation is obtained by solving the energy efficiency equation through the CVX tool, that is, the current energy efficiency EE1 under the first base station grouping mode B1 is obtained, and the current energy efficiency is taken as the optimal energy efficiency.

[0083] Step S202: taking the current energy efficiency as a target energy efficiency, optimizing the energy efficiency equation according to the base station grouping mode, and determining a to-be-processed energy efficiency of the optimized energy efficiency equation.

[0084] It can be understood that each base station grouping mode needs to be substituted into the energy efficiency equation to calculate and compare the optimal energy efficiency corresponding to the base station grouping mode.

[0085] 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 to-be-processed energy efficiency calculated in the next loop.

[0086] Step S203: when the to-be-processed energy efficiency is greater than the target energy efficiency, taking the to-be-processed energy efficiency as the target energy efficiency.

[0087] It should be understood that when the to-be-processed energy efficiency is greater than the target energy efficiency, the to-be-processed energy efficiency is assigned to the target energy efficiency, and the target energy efficiency is the optimal energy efficiency at this time. For example, to-be-processed energy efficiency EE l , target energy efficiency EE max , judge whether EE l is greater than EE max , if yes, set EE max = EE l .

[0088] Further, in order to reduce energy consumption, the embodiment further includes the following before step S203:

[0089] When the to-be-processed energy efficiency is less than or equal to the target energy efficiency, returning to the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the to-be-processed energy efficiency of the energy efficiency equation until the number of base station grouping modes reaches a preset threshold, to obtain a target base station grouping mode and a power allocation mode.

[0090] It can be understood that when the to-be-processed energy efficiency is less than the target energy efficiency, the target energy efficiency is not assigned, and the to-be-processed energy efficiency is filtered, and the target energy efficiency is still the optimal energy efficiency at this time, and enters the next loop for comparison until all base station grouping modes are substituted into the energy efficiency equation. After iteration, the optimal energy efficiency and the base station grouping mode and power allocation scheme corresponding to the optimal energy efficiency are obtained.

[0091] Step S204: returning to the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the to-be-processed energy efficiency of the energy efficiency equation until the number of base station grouping modes reaches a preset threshold, to obtain a target base station grouping mode and a power allocation mode.

[0092] It can be understood that the preset threshold is the number of all base station grouping modes, which can be L=2 K .

[0093] In a specific implementation, for example, when EE max > EE l , continue to set l=l+1, calculate the energy efficiency EE l of the sensing system, until l=L, output the maximum energy efficiency EE max , and output the corresponding base station grouping mode B l and its power allocation scheme p sk and p ck .

[0094] For ease of understanding, refer to Figure 6 for description, Figure 6 is an iterative optimization flowchart of the energy efficiency equation. In the figure, the initialization parameters are l=1, EE max =0, the energy efficiency equation is optimized according to the base station grouping mode B1, the current energy efficiency, i.e., the optimal energy efficiency, is obtained by solving the optimized energy efficiency equation, it is judged whether EE max > EE l , if yes, set EE max =EE l , l=l+1, if no, the optimal energy efficiency is still EE max , it is judged whether l>L, if yes, the optimal energy efficiency EE max is output, and the base station grouping mode and the power allocation scheme corresponding to the optimal energy efficiency are determined, if no, the energy efficiency equation is continued to be solved according to the base station grouping mode.

[0095] The embodiment optimizes the energy efficiency equation according to the base station grouping mode, and determines the current energy efficiency of the optimized energy efficiency equation; takes the current energy efficiency as a target energy efficiency, optimizes the energy efficiency equation according to the base station grouping mode, and determines a to-be-processed energy efficiency of the optimized energy efficiency equation; when the to-be-processed energy efficiency is greater than the target energy efficiency, takes the to-be-processed energy efficiency as the target energy efficiency; returns to the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the to-be-processed energy efficiency of the energy efficiency equation until the number of the base station grouping modes reaches a preset threshold, and obtains a target base station grouping mode and a power allocation mode. The embodiment iteratively optimizes the energy efficiency equation, determines the optimal energy efficiency, and obtains the target base station grouping mode and the power allocation mode corresponding to the optimal energy efficiency, and uses the target base station grouping mode and the power allocation mode for communication, which not only improves the flexibility of the sensing mode, but also improves the performance of the whole sensing integration system.

[0096] Refer to Figure 4 , Figure 4The flowchart of the third embodiment of the multi-node cooperative signal transmission method of the present application is based on the first embodiment shown in the above Figure 2 The third embodiment of the multi-node cooperative signal transmission method of the present application is proposed based on the first embodiment shown in the above.

[0097] In the third embodiment, the step S10 comprises:

[0098] Step S101: determining the energy efficiency of the cooperative allocation of each base station according to the communication rate of the communication signal and the received intensity of the sensing signal.

[0099] It should be noted that the energy efficiency of the cooperative allocation of each base station is determined according to the weight coefficient, the total power consumption, the communication rate and the received intensity.

[0100] It should be understood that the communication rate of the communication signal is the rate at which the base station transmits the communication signal to the user, and the received intensity of the sensing signal indicates that the stronger the sensing signal, the more information is sensed.

[0101] Further, in order to determine the energy efficiency of the cooperative allocation of each base station, the step S101 of the present embodiment can comprise:

[0102] determining the communication rate of the communication signal according to the bandwidth, the communication channel parameter, the power used by the communication signal and the Gaussian white noise power of the communication signal;

[0103] determining the received intensity of the sensing signal according to the attenuation factor, the directional vector of the transmission and reception of the signal in angle, the power used by the sensing signal and the Gaussian white noise power of the sensing signal;

[0104] determining the energy efficiency of the cooperative allocation of each base station according to the weight coefficient, the total power consumption, the communication rate and the received intensity.

[0105] It should be noted that the communication rate of the communication signal can be:

[0106]

[0107] wherein 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 base station identifier, B l represents the base station grouping mode.

[0108] The received intensity of the sensing signal can be:

[0109]

[0110] wherein γ s represents the received intensity of the perception signal, β k represents an attenuation factor, α(θ T,k ) represents a directional vector of the signal transmission in angle, α(θ R,k ) represents a directional vector of the signal transmission in angle, σ 2 s represents the Gaussian white noise power of the perception signal, p sk represents the power used by the perception signal.

[0111] The energy efficiency of the cooperative power distribution of each base station can be:

[0112]

[0113] wherein ω represents a weight coefficient, and P represents the total consumed power.

[0114] Step S102: determining a constraint condition of the energy efficiency.

[0115] It should be noted that the constraint condition can be and

[0116] Step S103: determining an energy efficiency equation of the cooperative power distribution of each base station according to the energy efficiency and the constraint condition.

[0117] It should be noted that the energy efficiency equation can be:

[0118]

[0119]

[0120]

[0121] B l ∈Ω.

[0122] wherein EE represents the energy efficiency, l represents the number of base station grouping manners, and Ω represents the power set of the base station grouping manners.

[0123] The embodiment determines the energy efficiency of the cooperative power distribution of each base station according to the communication rate of the communication signal and the received intensity of the perception signal, determines a constraint condition of the energy efficiency, and determines an energy efficiency equation of the cooperative power distribution of each base station according to the energy efficiency and the constraint condition. The embodiment determines the energy efficiency of the cooperative power distribution of each base station and the constraint condition in sequence, and determines the energy efficiency equation according to the energy efficiency and the constraint condition, so as to design a communication manner based on the energy efficiency equation and improve the performance of the communication-perception integration.

[0124] In addition, refer to Figure 7The embodiment of the present application also provides a multi-node cooperative signal transmission device, which comprises a data determination module 10 and a signal transmission module 20.

[0125] The data determination module 10 is used for determining an energy efficiency equation of power cooperative allocation of each base station and a base station grouping mode.

[0126] The data determination module 10 is also used for optimizing the energy efficiency equation according to the base station grouping mode, and determining a target base station grouping mode and a power allocation mode according to the optimized energy efficiency equation.

[0127] The signal transmission module 20 is used for performing signal transmission according to the target base station grouping mode and the power allocation mode.

[0128] The embodiment determines an energy efficiency equation of power cooperative allocation of each base station and a base station grouping mode, optimizes the energy efficiency equation according to the base station grouping mode, and determines a target base station grouping mode and a power allocation mode according to the optimized energy efficiency equation. The signal transmission is performed according to the target base station grouping mode and the power allocation mode. The energy efficiency equation of power cooperative allocation of each base station is determined by some parameters, the energy efficiency equation is iteratively optimized according to the base station grouping mode until the optimal energy efficiency is determined, and the target base station grouping mode and the power allocation 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 sensing performance is improved and the energy consumption is reduced through cooperative communication of the power allocation mode.

[0129] In addition, the embodiment of the present application also provides a storage medium, which stores a multi-node cooperative signal transmission program. The multi-node cooperative signal transmission program is executed by a processor to realize the multi-node cooperative signal transmission method as described above.

[0130] Based on the first embodiment of the multi-node cooperative signal transmission device, the second embodiment of the multi-node cooperative signal transmission device is provided.

[0131] In the embodiment, the data determination module 10 is used for optimizing the energy efficiency equation according to the base station grouping mode, and determining a current energy efficiency of the optimized energy efficiency equation.

[0132] Further, the data determination module 10 is also used for taking the current energy efficiency as a target energy efficiency, optimizing the energy efficiency equation according to the base station grouping mode, and determining a to-be-processed energy efficiency of the optimized energy efficiency equation.

[0133] Further, the data determination module 10 is also used for taking the to-be-processed energy efficiency as the target energy efficiency when the to-be-processed energy efficiency is greater than the target energy efficiency.

[0134] Further, the data determining module 10 is further configured to return the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the energy efficiency to be processed of the energy efficiency equation until the number of the base station grouping mode reaches a preset threshold value, and obtain a target base station grouping mode and power allocation mode.

[0135] Further, the data determining module 10 is further configured to return the step of optimizing the energy efficiency equation according to the base station grouping mode and determining the energy efficiency to be processed of the energy efficiency equation until the number of the base station grouping mode reaches a preset threshold value, and obtain a target base station grouping mode and power allocation mode when the energy efficiency to be processed is less than or equal to the target energy efficiency.

[0136] Further, the data determining module 10 is further configured to determine the energy efficiency of the power allocated by the base stations in cooperation according to the communication rate of the communication signal and the received intensity of the sensing signal.

[0137] Further, the data determining module 10 is further configured to determine the constraint condition of the energy efficiency.

[0138] Further, the data determining module 10 is further configured to determine the energy efficiency equation of the power allocated by the base stations in cooperation according to the energy efficiency and the constraint condition.

[0139] Further, the data determining module 10 is further configured to determine the communication rate of the communication signal according to the bandwidth, the communication channel parameter, the power used by the communication signal and the Gaussian white noise power of the communication signal.

[0140] Further, the data determining module 10 is further configured to determine the received intensity of the sensing signal according to the attenuation factor, the directional vector of the transmission and reception of the signal in angle, the power used by the sensing signal and the Gaussian white noise power of the sensing signal.

[0141] Further, the data determining module 10 is further configured to determine the energy efficiency of the power allocated by the base stations in cooperation according to the weight coefficient, the total power consumed, the communication rate and the received intensity.

[0142] Further, the data determining module 10 is further configured to substitute the base station grouping mode into the energy efficiency equation and analyze the energy efficiency and the constraint condition to optimize the energy efficiency equation.

[0143] Further, the data determining module 10 is further configured to generate a power set of the base station set according to the base station set, and determine the base station grouping mode according to the power set.

[0144] Other embodiments or specific implementations of the multi-node cooperative signal transmission device can refer to the above-mentioned method embodiments, which will not be described here.

[0145] It is to be understood that the terminology "including", "comprising", or any other variation thereof, is intended to cover a non-exclusive inclusion such that processes, methods, articles, or systems that comprise a list of elements do not include only those elements but can also include other elements not expressly listed or inherent to such processes, methods, articles, or systems. Without further limitation, an element preceded by "comprises a" does not, without more limitations, foreclose the existence of additional identical elements in the process, method, article, or system that comprises the recited element.

[0146] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0147] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and the necessary general hardware platform, and of course, they can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory image (ROM) / random access memory (RAM), a magnetic disk, an optical disk), and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in the various embodiments of the present application.

[0148] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A multi-node collaborative signal transmission method, characterized in that, The multi-node collaborative signal transmission method includes the following steps: Determine the energy efficiency equation for the coordinated power allocation among base stations and the base station grouping method; The energy efficiency equation is optimized based on the base station grouping method, and the target base station grouping method and power allocation method are determined based on the optimized energy efficiency equation. Signal transmission is performed according to the target base station grouping method and the power allocation method; The step of determining the energy efficiency equation for the coordinated power allocation of each base station includes: The communication rate of the communication signal is determined based on the bandwidth, communication channel parameters, power used by the communication signal, and Gaussian white noise power of the communication signal. The received strength of the sensing signal is determined based on the attenuation factor, the steering vector of the transmitted and received signal in terms of angle, the power used to sense the signal, and the Gaussian white noise power of the sensing signal. The energy efficiency of each base station's collaborative allocation is determined based on the weighting coefficient, total power consumption, communication rate, and reception strength. Determine the constraints for the energy efficiency; The energy efficiency equation for the coordinated power allocation of each base station is determined based on the energy efficiency and the constraints. The step of optimizing the energy efficiency equation according to the base station grouping method includes: Substitute the base station grouping method into the energy efficiency equation, and optimize the energy efficiency equation by analyzing the energy efficiency and the constraints. The optimized energy efficiency equation is as follows: In the formula, EE represents the energy efficiency, p sk Indicates the power used for the sensing signal, p ck The power used by the communication signal is represented by P, the total power consumed is represented by K, the number of base stations is represented by B1, the base station grouping method is represented by ω, and the weighting coefficient is represented by R. c Indicates the communication rate, γ s This indicates the received strength.

2. The multi-node collaborative signal transmission method as described in claim 1, characterized in that, The steps 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 include: The energy efficiency equation is optimized according to the base station grouping method, and the current energy efficiency of the optimized energy efficiency equation is determined. The current energy efficiency is taken as the target energy efficiency, the energy efficiency equation is optimized according to the base station grouping method, and the energy efficiency to be processed in the optimized energy efficiency equation is determined. When the energy efficiency to be processed is greater than the target energy efficiency, the energy efficiency to be processed is taken as the target energy efficiency; Return to the steps of optimizing the energy efficiency equation based on the base station grouping method and determining the energy efficiency to be processed in the energy efficiency equation until the number of base station grouping methods reaches a preset threshold, and obtain the target base station grouping method and power allocation method.

3. The multi-node collaborative signal transmission method as described in claim 2, characterized in that, Before the step of setting 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, the method further includes: When the energy efficiency to be processed is less than or equal to the target energy efficiency, the process returns to the steps of optimizing the energy efficiency equation according to the base station grouping method and determining the energy efficiency to be processed in the energy efficiency equation until the number of base station grouping methods reaches a preset threshold, thereby obtaining the target base station grouping method and power allocation method.

4. The multi-node collaborative signal transmission method as described in any one of claims 1 to 3, characterized in that, The step of determining the base station grouping method includes: A power set of the base station set is generated based on the base station set, and the base station grouping method is determined based on the power set.

5. A multi-node collaborative signal transmission device, characterized in that, The multi-node collaborative 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 for the coordinated power allocation of each base station and the base station grouping method; 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 used to transmit signals according to the target base station grouping method and the power allocation method; The data determination module is also used to determine the communication rate of the communication signal based on the bandwidth, communication channel parameters, power used by the communication signal, and Gaussian white noise power of the communication signal; and to determine the received strength of the sensing signal based on the attenuation factor, the steering vector of the signal transmission and reception in terms of angle, power used by the sensing signal, and Gaussian white noise power of the sensing signal. The data determination module is further configured to determine the energy efficiency of each base station's collaborative power allocation based on the weighting coefficient, total power consumption, communication rate, and reception strength; determine the constraints on the energy efficiency; and determine the energy efficiency equation for each base station's collaborative power allocation based on the energy efficiency and the constraints. The data determination module is further configured to substitute the base station grouping method into the energy efficiency equation, and to optimize the energy efficiency equation by analyzing the energy efficiency and the constraints. The optimized energy efficiency equation is as follows: In the formula, EE represents the energy efficiency, p sk Indicates the power used for the sensing signal, p ck The power used by the communication signal is represented by P, the total power consumed is represented by K, the number of base stations is represented by B1, the base station grouping method is represented by ω, and the weighting coefficient is represented by R. c Indicates the communication rate, γ s This indicates the received strength.

6. A multi-node collaborative signal transmission device, characterized in that, The multi-node collaborative signal transmission device includes: a memory, a processor, and a multi-node collaborative signal transmission program stored in the memory and executable on the processor. When the multi-node collaborative signal transmission program is executed by the processor, it implements the steps of the multi-node collaborative signal transmission method as described in any one of claims 1 to 4.

7. A storage medium, characterized in that, The storage medium stores a multi-node collaborative signal transmission program, which, when executed by a processor, implements the steps of the multi-node collaborative signal transmission method as described in any one of claims 1 to 4.

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