Air-ground communication link adaptive switching method and device for cross-domain battlefield environment

Abstract

The invention provides an air-ground communication link adaptive switching method and device for a cross-domain battlefield environment, and relates to the technical field of unmanned aerial vehicle communication. The method comprises the following steps: establishing a communication signal attenuation model between the unmanned aerial vehicle and a ground communication base station; constructing a communication quality index based on the communication signal attenuation model; and calculating communication quality indexes of the to-be-selected communication link and the current communication link, selecting an optimal communication link according to the communication quality indexes, and completing switching work of the communication links. The invention provides a distributed network resource allocation scheme oriented to a cross-domain battlefield environment, and aims at resource allocation between a communication link of an unmanned aerial vehicle and a ground communication base station and an unmanned aerial vehicle network, a communication model is established, a resource optimization algorithm is proposed, and node resources and transmission power are optimized.

Description

Technical Field

[0001] The present invention relates to the field of unmanned aerial vehicle communication technology, and in particular to an air-to-ground communication link adaptive switching method and device for a cross-domain battlefield environment. Background Art

[0002] In the two combat domains of land and air, under the threat of uncertain environmental parameters, large signal attenuation, and extremely large data acquisition base, it is urgent to optimize the combat communication system of one's own side, improve the utilization rate of communication nodes, and realize high-reliability transmission of information on the basis of ensuring that the battlefield communication and data transmission requirements are met. The battlefield communication network needs to be reasonably planned, and technical means should be taken to ensure the transmission of information. Summary of the invention

[0003] In order to solve the technical problems of link channel fading in UAV air-to-ground communication in battlefield environment, frequent link interruption caused by high-speed movement of UAV, and low communication data transmission efficiency in the prior art, the embodiment of the present invention provides an air-to-ground communication link adaptive switching method and device for cross-domain battlefield environment. The technical solution is as follows:

[0004] On the one hand, a method for adaptively switching an air-to-ground communication link in a cross-domain battlefield environment is provided. The method is implemented by an air-to-ground communication link adaptive switching device. The method includes:

[0005] S1. Establish a communication signal attenuation model between the UAV and the ground communication base station.

[0006] S2. Construct communication quality indicators based on the communication signal attenuation model.

[0007] S3. Calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

[0008] Optionally, the communication signal attenuation model in S1 is as shown in the following equations (1) and (2):

[0009]

[0010] In the formula, h i,j represents the channel gain, η represents the signal fading coefficient, d i,j represents the straight-line distance between UAV i and ground base station j, n represents the path loss index, P r Represents the received power, P t Indicates the transmit power, L 0 Indicates the reference distance.

[0011] Optionally, the communication quality indicator constructed in S2 includes:

[0012] S21. Calculate the signal-to-noise ratio after signal attenuation.

[0013] S22. Calculate the channel data transmission rate according to the signal-to-noise ratio.

[0014] S23. Calculate the link interruption rate according to the signal-to-noise ratio and the channel data transmission rate.

[0015] S24. Calculate the communication link utilization.

[0016] S25. Weighting the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate to obtain a communication quality index.

[0017] Optionally, the channel data transmission rate is as shown in the following formula (3):

[0018] B eff =B max log 2 (1+SNR i,j ) (3)

[0019] In the formula, B eff represents the channel data transmission rate, B max Indicates the maximum bandwidth of the channel between the drone and the ground base station, SNR i,j Represents the signal-to-noise ratio after signal attenuation.

[0020] The link interruption rate is shown in the following formula (4):

[0021]

[0022] Where P O Indicates the link interruption rate.

[0023] The communication link utilization is shown in the following formula (5):

[0024]

[0025] Where U i,j represents the communication link utilization, B used,i,j Indicates the bandwidth used by the signal, B total Indicates the total system bandwidth.

[0026] Optionally, weighting the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate in S25 includes:

[0027] According to the weight adjustment factor α of the channel data transmission rate, the weight adjustment factor β of the communication link utilization rate and the weight adjustment factor γ of the link interruption rate, the weight parameter w of the channel data transmission rate is calculated: 1, the weight parameter w of the link interruption rate 2 And the weight parameter w of the communication link utilization 3 , according to the weight parameter, the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate and the communication link utilization are weighted.

[0028] Among them, the weight parameter w of the channel data transmission rate 1 , the weight parameter w of the link interruption rate 2 And the weight parameter w of the communication link utilization 3 , as shown in the following equations (6)-(8):

[0029]

[0030]

[0031] Where B represents the actual data transmission rate, B N Represents the benchmark data transmission rate, P O,N represents the baseline utilization rate, U represents the actual interruption rate, and U N Indicates the baseline interruption rate.

[0032] Optionally, the communication quality indicator is as shown in the following formula (9):

[0033]

[0034] In the formula, Q represents the communication quality index, w 1 The weight parameter representing the channel data transmission rate, B eff represents the channel data transmission rate, B max represents the maximum bandwidth of the channel between the UAV and the ground base station, w 2 The weight parameter representing the link interruption rate, P O represents the link interruption rate, w 3 The weight parameter representing the utilization of the communication link, U i,j Indicates the communication link utilization.

[0035] Optionally, the best communication link is selected according to the communication quality indicator in S3, as shown in the following formula (10):

[0036] Best BS=arg max(Q link,i ) (10)

[0037] In the formula, Best BS represents the best communication link, Q link,i Represents the link quality indicator between the UAV and the i-th base station.

[0038] On the other hand, an air-to-ground communication link adaptive switching device for a cross-domain battlefield environment is provided, and the device is applied to an air-to-ground communication link adaptive switching method for a cross-domain battlefield environment, and the device includes:

[0039] The model building module is used to establish the communication signal attenuation model between the UAV and the ground communication base station.

[0040] The indicator building module is used to build communication quality indicators based on the communication signal attenuation model.

[0041] The output module is used to calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

[0042] Optionally, the communication signal attenuation model is as shown in the following equations (1) and (2):

[0043]

[0044] In the formula, h i,j represents the channel gain, η represents the signal fading coefficient, d i,j represents the straight-line distance between UAV i and ground base station j, n represents the path loss index, P r Represents the received power, P t Indicates the transmit power, L 0 Indicates the reference distance.

[0045] Optionally, the indicator building block is further used to:

[0046] S21. Calculate the signal-to-noise ratio after signal attenuation.

[0047] S22. Calculate the channel data transmission rate according to the signal-to-noise ratio.

[0048] S23. Calculate the link interruption rate according to the signal-to-noise ratio and the channel data transmission rate.

[0049] S24. Calculate the communication link utilization.

[0050] S25. Weighting the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate to obtain a communication quality index.

[0051] Optionally, the channel data transmission rate is as shown in the following formula (3):

[0052] B eff =B max log 2 (1+SNR i,j ) (3)

[0053] In the formula, B eff represents the channel data transmission rate, B max Indicates the maximum bandwidth of the channel between the drone and the ground base station, SNR i,j Represents the signal-to-noise ratio after signal attenuation.

[0054] The link interruption rate is shown in the following formula (4):

[0055]

[0056] Where P O Indicates the link interruption rate.

[0057] The communication link utilization is shown in the following formula (5):

[0058]

[0059] Where U i,j represents the communication link utilization, B used,i,j Indicates the bandwidth used by the signal, B total Indicates the total system bandwidth.

[0060] Optionally, the indicator building block is further used to:

[0061] According to the weight adjustment factor α of the channel data transmission rate, the weight adjustment factor β of the communication link utilization rate and the weight adjustment factor γ of the link interruption rate, the weight parameter w of the channel data transmission rate is calculated: 1 , the weight parameter w of the link interruption rate 2 And the weight parameter w of the communication link utilization 3 , according to the weight parameter, the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate and the communication link utilization are weighted.

[0062] Among them, the weight parameter w of the channel data transmission rate 1 , the weight parameter w of the link interruption rate 2 And the weight parameter w of the communication link utilization 3 , as shown in the following equations (6)-(8):

[0063]

[0064]

[0065] Where B represents the actual data transmission rate, B N Represents the benchmark data transmission rate, P O,N represents the baseline utilization rate, U represents the actual interruption rate, and U N Indicates the baseline interruption rate.

[0066] Optionally, the communication quality indicator is as shown in the following formula (9):

[0067]

[0068] In the formula, Q represents the communication quality index, w 1 The weight parameter representing the channel data transmission rate, B eff represents the channel data transmission rate, B max represents the maximum bandwidth of the channel between the UAV and the ground base station, w 2 The weight parameter representing the link interruption rate, P O represents the link interruption rate, w 3 The weight parameter representing the utilization of the communication link, U i,j Indicates the communication link utilization.

[0069] Optionally, the best communication link is selected according to the communication quality indicator, as shown in the following formula (10):

[0070] Best BS=argmax(Q link,i ) (10)

[0071] In the formula, Best BS represents the best communication link, Q link,i Represents the link quality indicator between the UAV and the i-th base station.

[0072] On the other hand, an air-to-ground communication link adaptive switching device is provided, and the air-to-ground communication link adaptive switching device includes: a processor; a memory, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, any one of the above-mentioned air-to-ground communication link adaptive switching methods for a cross-domain battlefield environment is implemented.

[0073] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement any one of the above-mentioned methods for adaptive switching of air-to-ground communication links for a cross-domain battlefield environment.

[0074] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0075] In the present invention, in view of the limitations of drone aerial network nodes in the application of distributed network architecture, the present invention studies the proposal of network architecture and the design of drone networking node task allocation algorithm. From the perspective of computing power and communication capabilities, the limited computing power of a single aerial network node makes it face greater resource unloading pressure in an independent distributed system that lacks a bearer network and a core network. The movement of aerial communication network nodes causes dynamic changes in path length, which makes it face greater pressure in resource acquisition with ground communication base stations during operation. In response to these problems, the present invention studies the adaptive switching technology of communication links, calculates the data transmission rate, link utilization, and interruption probability parameters between drone nodes and different communication base stations, and comprehensively evaluates the availability of each channel through a weighted algorithm, thereby supporting the switching decision of the communication link and solving the problem of unstable communication links. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0077] Figure 1 It is a flow chart of an adaptive switching method of air-to-ground communication links for a cross-domain battlefield environment provided by an embodiment of the present invention;

[0078] Figure 2 It is a flow chart of an adaptive switching method of air-to-ground communication links for a cross-domain battlefield environment provided by an embodiment of the present invention;

[0079] Figure 3 is a schematic diagram of an air-ground integrated communication model provided by an embodiment of the present invention;

[0080] Figure 4 It is a block diagram of an air-to-ground communication link adaptive switching device for a cross-domain battlefield environment provided by an embodiment of the present invention;

[0081] Figure 5 It is a structural schematic diagram of an air-to-ground communication link adaptive switching device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0082] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0083] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0084] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0085] In the embodiments of the present invention, sometimes the subscripts such as W 1 It may be written in non-subscript form such as W1. When the difference is not emphasized, the meaning is the same.

[0086] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0087] The embodiment of the present invention provides an air-to-ground communication link adaptive switching method for a cross-domain battlefield environment. The method can be implemented by an air-to-ground communication link adaptive switching device, which can be a terminal or a server. Figure 1 , Figure 2 The flowchart of the method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment is shown. The processing flow of the method may include the following steps:

[0088] S1. Establish a communication signal attenuation model between the UAV and the ground communication base station.

[0089] In a feasible implementation, Figure 3 The figure shows an air-to-ground cross-domain communication system with multiple base stations and multiple UAV aerial communication network nodes. The system includes many ground base stations with limited capacity, a large number of mobile UAV communication nodes and fixed-position UAV communication nodes to ensure the transmission rate for specific users.

[0090] Furthermore, a UAV air-to-ground communication model based on Rayleigh fading is established to detect and calculate the communication signal parameters between the UAV and multiple base stations.

[0091] Among them, the distributed communication model includes factors such as the location of the drone and the transmission attenuation of its communication signal. The model of communication signal transmission between drone nodes and base stations is expressed as:

[0092]

[0093] In the formula, h i,j represents the channel gain, η represents the signal fading coefficient, which satisfies the complex Gaussian distribution, d i,j represents the straight-line distance between UAV i and ground base station j, n represents the path loss index, P r Represents the received power, P t Indicates the transmit power, L 0 Indicates the reference distance, and its value is set according to specific calculation requirements.

[0094] Furthermore, a coordinate system is established, and the coordinates of the drone are set as (x u ,y u ,z u ), the base station coordinates are (x b ,y b ,z b ) With the help of coordinates, the straight-line distance between the drone and the ground base station can be obtained as:

[0095]

[0096] S2. Construct communication quality indicators based on the communication signal attenuation model.

[0097] In a feasible implementation, the present invention also proposes a weighted algorithm based on channel bandwidth, communication link utilization and communication interruption rate. By weighting the three parameters, a parameter Q that comprehensively reflects the channel efficiency can be defined. Bandwidth is a key factor in determining the data transmission rate. On the battlefield, high bandwidth can ensure the rapid transmission of key information. On the other hand, based on the signal model, the present invention proposes a three-rate adaptive cross-domain link switching algorithm:

[0098] S21. Calculate the signal-to-noise ratio (SNR) of the received signal based on the signal attenuation model i,j :

[0099]

[0100] S22, calculate the data transmission rate B of the communication link to be selected and the current communication link eff :

[0101] B eff =B max log 2 (1+SNR i,j ) (5)

[0102] In the formula, B eff represents the channel data transmission rate, B max represents the maximum bandwidth of the channel between the UAV and the ground base station, B total is the total system bandwidth; their values ​​are determined by the hardware facilities used for communication.

[0103] S23, the link interruption rate has a negative impact on the communication link because it will cause the loss and retransmission of data packets, thereby increasing the delay and reducing the link utilization. The link interruption rate is related to the effective bandwidth of the channel, and the link interruption rate is calculated as:

[0104]

[0105] Where P O Indicates the link interruption rate.

[0106] S24, link utilization reflects the efficiency of link utilization. On the battlefield, excessive link utilization may lead to increased data transmission delay, so the weight of link utilization should be moderate. The utilization rate of the communication link between the UAV node and the ground base station node is U i,j Determined by the signal's used bandwidth and the system bandwidth:

[0107]

[0108] Where U i,j represents the communication link utilization, B used,i,j Indicates the bandwidth used by the signal, B total Indicates the total system bandwidth.

[0109] S25. Weighting the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate to obtain a communication quality index.

[0110] Optionally, the above step S25 may be:

[0111] According to the weight adjustment factor α of the channel data transmission rate, the weight adjustment factor β of the communication link utilization rate and the weight adjustment factor γ of the link interruption rate, the weight parameter w of the channel data transmission rate is calculated: 1 , the weight parameter w of the link interruption rate 2 And the weight parameter w of the communication link utilization 3 , according to the weight parameter, the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate and the communication link utilization rate are weighted, w 1 、w 2 、w 3 They represent the weight proportions respectively, that is, the three satisfy the relationship:

[0112] w1 +w 2 +w 3 =1 (8)

[0113] In a feasible implementation, since the channel bandwidth is closely related to the link utilization rate and the communication interruption rate, these three weight parameters cannot be simply set directly, and a reasonable weight planning method is required.

[0114] Furthermore, α, β, and γ are set to adjust the sensitivity of the three weight changes and balance the quantitative relationship between the three indicators. The calculation of the weight can be expressed as:

[0115]

[0116] Where B represents the actual data transmission rate, B N Represents the benchmark data transmission rate, P O,N represents the baseline utilization rate, U represents the actual interruption rate, and U N Indicates the baseline interruption rate. When the actual bandwidth approaches or exceeds the baseline bandwidth B N When the actual channel bandwidth is much lower than B N When the actual utilization is close to the target utilization U, the weight is close to 0. On the battlefield, excessive link utilization may lead to increased data transmission delay, so the weight of link utilization should be moderate. N When the actual communication link utilization is much higher or lower than U N The link interruption rate is negatively correlated with network reliability, so the weight of the link interruption rate should be proportional to the inverse of the interruption rate.

[0117] Optionally, based on the communication bandwidth, the utilization rate of the communication link and the communication interruption rate, a weighted formula describing the channel quality is as shown in the following formula (12):

[0118]

[0119] In the formula, Q represents the communication quality index, which can comprehensively reflect the quality of signal transmission, and w 1 The weight parameter representing the channel data transmission rate, B eff represents the channel data transmission rate, B max represents the maximum bandwidth of the channel between the UAV and the ground base station, w 2 The weight parameter representing the link interruption rate, P O represents the link interruption rate, w 3 The weight parameter representing the utilization of the communication link, U i,j Indicates the communication link utilization.

[0120] In a feasible implementation, the data transmission rate, link utilization and interruption probability of different channel conditions are analyzed to affect the actual communication process, such as fluctuations in communication stability and changes in signal-to-noise ratio, when the influence of long-distance signal fading is large, the communication interference is large, and the communication interruption rate is large. A three-rate adaptive cross-domain link switching algorithm is proposed, and the weighted parameters are calculated to complete the selection and switching of communication links, so as to realize stable communication of UAVs in cross-domain battlefield environments.

[0121] S3. Calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

[0122] Optionally, the best communication link is selected according to the communication quality indicator in S3, as shown in the following formula (13):

[0123] Best BS=argmax(Q link,i ) (13)

[0124] In the formula, Best BS represents the best communication link, Q link,i Represents the link quality indicator between the drone and the i-th base station. The drone can select the most suitable communication link based on the calculated link quality. Specifically, assuming that there are multiple base stations to choose from, the selection process can be performed by comparing the link quality of each base station. The final switching method is shown in formula (13). After calculating the quality parameters of all links to be selected at the same time, the communication link with the largest quality parameter value is compared and the communication link is switched to it. If the original channel quality value is the largest, the current communication link is maintained.

[0125] Furthermore, information work began to be carried out using the switched communication link to provide more reliable air-ground communications.

[0126] The present invention is aimed at optimizing resource allocation and communication efficiency by using a method for utilizing network nodes. The method uses an intelligent algorithm to achieve coordination and dynamic adjustment between drone aerial network nodes and ground base station communication nodes to adapt to complex battlefield requirements.

[0127] In the embodiments of the present invention, in view of the limitations of drone aerial network nodes in the application of distributed network architecture, the present invention studies the proposal of network architecture and the design of drone networking node task allocation algorithm. From the perspective of computing power and communication capabilities, the limited computing power of a single aerial network node makes it face greater resource unloading pressure in an independent distributed system that lacks a bearer network and a core network. The movement of aerial communication network nodes causes dynamic changes in path length, which puts them under greater pressure to obtain resources from ground communication base stations during operation. In response to these problems, the present invention studies the adaptive switching technology of communication links, calculates the data transmission rate, link utilization, and interruption probability parameters between drone nodes and different communication base stations, and comprehensively evaluates the availability of each channel through a weighted algorithm, thereby supporting the switching decision of the communication link and solving the problem of unstable communication links.

[0128] Figure 4 The invention is a block diagram of an air-to-ground communication link adaptive switching device for a cross-domain battlefield environment according to an exemplary embodiment. The device is used for an air-to-ground communication link adaptive switching method for a cross-domain battlefield environment. Figure 4 The device includes a model building module 310, an indicator building module 320 and an output module 330. Among them:

[0129] The model building module 310 is used to build a communication signal attenuation model between the UAV and the ground communication base station.

[0130] The indicator construction module 320 is used to construct a communication quality indicator based on the communication signal attenuation model.

[0131] The output module 330 is used to calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

[0132] In the embodiments of the present invention, in view of the limitations of drone aerial network nodes in the application of distributed network architecture, the present invention studies the proposal of network architecture and the design of drone networking node task allocation algorithm. From the perspective of computing power and communication capabilities, the limited computing power of a single aerial network node makes it face greater resource unloading pressure in an independent distributed system that lacks a bearer network and a core network. The movement of aerial communication network nodes causes dynamic changes in path length, which puts them under greater pressure to obtain resources from ground communication base stations during operation. In response to these problems, the present invention studies the adaptive switching technology of communication links, calculates the data transmission rate, link utilization, and interruption probability parameters between drone nodes and different communication base stations, and comprehensively evaluates the availability of each channel through a weighted algorithm, thereby supporting the switching decision of the communication link and solving the problem of unstable communication links.

[0133] Figure 5 is a schematic diagram of the structure of an air-to-ground communication link adaptive switching device provided by an embodiment of the present invention, such as Figure 5 As shown, the air-to-ground communication link adaptive switching device may include the above Figure 4 The air-to-ground communication link adaptive switching device for a cross-domain battlefield environment is shown. Optionally, the air-to-ground communication link adaptive switching device 410 may include a first processor 2001 .

[0134] Optionally, the air-to-ground communication link adaptive switching device 410 may further include a memory 2002 and a transceiver 2003 .

[0135] The first processor 2001, the memory 2002 and the transceiver 2003 may be connected via a communication bus.

[0136] Combine the following Figure 5 The components of the air-to-ground communication link adaptive switching device 410 are specifically introduced:

[0137] The first processor 2001 is the control center of the air-to-ground communication link adaptive switching device 410, and may be a processor or a general term for multiple processing elements. For example, the first processor 2001 is one or more central processing units (CPUs), or may be application specific integrated circuits (ASICs), or may be configured to implement one or more integrated circuits of the embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs), or one or more field programmable gate arrays (FPGAs).

[0138] Optionally, the first processor 2001 can perform various functions of the air-to-ground communication link adaptive switching device 410 by running or executing a software program stored in the memory 2002 and calling data stored in the memory 2002 .

[0139] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 5 CPU0 and CPU1 are shown in FIG.

[0140] In a specific implementation, as an embodiment, the air-to-ground communication link adaptive switching device 410 may also include multiple processors, such as Figure 5The first processor 2001 and the second processor 2004 are shown in FIG. Each of these processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). The processor here can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0141] The memory 2002 is used to store the software program for executing the solution of the present invention, and is controlled to be executed by the first processor 2001. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0142] Optionally, the memory 2002 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 2002 may be integrated with the first processor 2001, or may exist independently, and may be accessed through the interface circuit ( Figure 5 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0143] The transceiver 2003 is used to communicate with a network device or a terminal device.

[0144] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 5 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0145] Optionally, the transceiver 2003 may be integrated with the first processor 2001, or may exist independently, and may be switched through the interface circuit ( Figure 5 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0146] It should be noted that Figure 5 The structure of the air-to-ground communication link adaptive switching device 410 shown in the figure does not constitute a limitation on the router, and the actual knowledge structure identification device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0147] In addition, the technical effects of the air-to-ground communication link adaptive switching device 410 can refer to the technical effects of the air-to-ground communication link adaptive switching method for a cross-domain battlefield environment described in the above method embodiment, and will not be repeated here.

[0148] It should be understood that the first processor 2001 in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0149] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0150] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0151] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0152] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0153] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0154] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0155] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0156] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0157] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0158] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0159] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0160] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment, characterized in that: The method comprises: S1. Establish a communication signal attenuation model between the UAV and the ground communication base station; S2. constructing a communication quality index based on the communication signal attenuation model; S3. Calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

2. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 1 is characterized in that: The communication signal attenuation model in S1 is shown in the following equations (1) and (2): In the formula, h i,j represents the channel gain, η represents the signal fading coefficient, d i,j represents the straight-line distance between UAV i and ground base station j, n represents the path loss index, P r Represents the received power, P t represents the transmission power, and L0 represents the reference distance.

3. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 1 is characterized in that: The communication quality indicators constructed in S2 include: S21, calculating the signal-to-noise ratio after signal attenuation; S22, calculating a channel data transmission rate according to the signal-to-noise ratio; S23, calculating a link interruption rate according to the signal-to-noise ratio and the channel data transmission rate; S24, calculating the communication link utilization; S25. Weighting the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate to obtain a communication quality index.

4. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 3 is characterized in that: The channel data transmission rate is as shown in the following formula (3): B eff =B max log2(1+SNR i,j ) (3) In the formula, B eff Indicates the channel data transmission rate, B max Indicates the maximum bandwidth of the channel between the drone and the ground base station, SNR i,j It represents the signal-to-noise ratio after signal attenuation; The link interruption rate is shown in the following formula (4): Where P O Indicates the link interruption rate; The communication link utilization is shown in the following formula (5): Where U i,j represents the communication link utilization, B used,i,j Indicates the bandwidth used by the signal, B total Indicates the total system bandwidth.

5. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 3 is characterized in that: The weighting of the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate, and the communication link utilization rate in S25 includes: According to the weight adjustment factor α of the channel data transmission rate, the weight adjustment factor β of the communication link utilization rate and the weight adjustment factor γ of the link interruption rate, a weight parameter w1 of the channel data transmission rate, a weight parameter w2 of the link interruption rate and a weight parameter w3 of the communication link utilization rate are calculated, and the ratio of the channel data transmission rate to the maximum channel width, the link interruption rate and the communication link utilization rate are weighted according to the weight parameters; Among them, the weight parameter w1 of the channel data transmission rate, the weight parameter w2 of the link interruption rate, and the weight parameter w3 of the communication link utilization rate are shown in the following equations (6)-(8): Where B represents the actual data transmission rate, B N Indicates the benchmark data transmission rate, P O,N represents the baseline utilization rate, U represents the actual interruption rate, and U N Indicates the baseline interruption rate.

6. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 3 is characterized in that: The communication quality index is shown in the following formula (9): In the formula, Q represents the communication quality index, w1 represents the weight parameter of the channel data transmission rate, and B eff Indicates the channel data transmission rate, B max represents the maximum bandwidth of the channel between the UAV and the ground base station, w2 represents the weight parameter of the link interruption rate, P O represents the link interruption rate, w3 represents the weight parameter of the communication link utilization, U i,j Indicates the communication link utilization.

7. The method for adaptively switching air-to-ground communication links in a cross-domain battlefield environment according to claim 1 is characterized in that: The optimal communication link is selected according to the communication quality index in S3, as shown in the following formula (10): Best BS=arg max(Q link,i ) (10) In the formula, Best BS represents the best communication link, Q link,i Represents the link quality indicator between the UAV and the i-th base station.

8. An air-to-ground communication link adaptive switching device for a cross-domain battlefield environment, the air-to-ground communication link adaptive switching device for a cross-domain battlefield environment is used to implement the air-to-ground communication link adaptive switching method for a cross-domain battlefield environment as claimed in any one of claims 1 to 7, characterized in that: The device comprises: A model building module is used to build a communication signal attenuation model between the UAV and the ground communication base station; An indicator construction module, used to construct a communication quality indicator based on the communication signal attenuation model; The output module is used to calculate the communication quality indicators of the communication link to be selected and the current communication link, select the best communication link according to the communication quality indicators, and complete the switching of the communication link.

9. An air-to-ground communication link adaptive switching device, characterized in that: The air-to-ground communication link adaptive switching device comprises: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, which can be called by a processor to execute the method according to any one of claims 1 to 7.

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