A method for selecting a gateway node of a large-scale unmanned aerial base station network under space-ground integrated networking

Abstract

The application discloses a large-scale unmanned aerial base station gateway node selection method under space-ground integrated networking, which comprises the following steps: step 1, an unmanned aerial base station executes a routing discovery protocol to obtain position information of other unmanned aerial base stations; step 2, the sustainable flight time of the unmanned aerial base station is predicted; step 3, the energy required for data aggregation of the unmanned aerial base station is predicted; step 4, the average sustainable flight time average of the unmanned aerial base station is calculated; step 5, the eigenvalue of the unmanned aerial base station is calculated; step 6, the unmanned aerial base station gateway node is selected; and step 7, the unmanned aerial base station gateway node is updated, and the large-scale unmanned aerial base station gateway node selection under space-ground integrated networking is completed.

Description

Technical Field

[0001] This invention relates to a method for selecting gateway nodes for unmanned aerial vehicle (UAV) base stations, and more particularly to a method for selecting gateway nodes for large-scale UAV base stations under an integrated space-ground network. Background Technology

[0002] With the rapid development of wireless communication technology, leveraging the mobility, flexibility, and wide coverage of drone base stations to establish a large-scale drone base station network covering vast areas has become an important development direction for future 6G wireless communication networks. However, when drone base stations serve sparsely populated areas and there is a lack of nearby terrestrial cellular mobile communication base stations and wired communication lines, data backhaul from the drone base stations can become difficult.

[0003] Currently, drone base station data backhaul solutions mainly utilize terrestrial mobile communication base stations near the drone base station. However, this method has certain drawbacks. When the drone base station operates in remote or sparsely populated areas where no terrestrial mobile communication base stations are available, the drone base station will be unable to perform data backhaul.

[0004] Due to the large number of drone base stations and the varying hardware conditions of each drone base station, not every drone base station has the ability to communicate directly with low-Earth orbit (LEO) satellite systems. On the other hand, even if each drone base station does have the ability to communicate directly with LEO satellite systems, using a scheme where each drone base station communicates directly with an LEO satellite system to achieve data backhaul would result in significant signaling overhead, leading to a decrease in the utilization rate of LEO satellite link wireless resources and an increase in the energy consumption of both the drone base station cluster and the LEO satellite system. Summary of the Invention

[0005] Purpose of the invention: The technical problem to be solved by the present invention is to provide a method for selecting gateway nodes of large-scale UAV base stations under integrated space-ground networking, which addresses the shortcomings of the existing technology.

[0006] To address the aforementioned technical problems, this invention discloses a method for selecting gateway nodes for large-scale unmanned aerial vehicle (UAV) base stations under an integrated space-ground network, comprising the following steps:

[0007] Step 1: The drone base station executes a route discovery protocol to obtain the location information of other drone base stations. Specifically, based on the route discovery protocol execution results, the drone base station obtains hop count information and wireless propagation distance information between itself and other drone base stations. The specific methods include:

[0008] The first The drone base station and the first The total number of hops between drone base stations is denoted as That is, the data starts from the first The drone base station transmitted to the first The number of hops required for each drone base station is ,when hour, ;

[0009] go through Jump, the The drone base station and the first The total distance that data travels between drone base stations in wireless space is ; , ,when hour, .

[0010] Step 2, predict the sustainable flight time of the drone base station, specifically including:

[0011] Step 2.1, calculate the remaining energy of the drone base station:

[0012] Regarding the first Each drone base station counts its remaining energy and marks it as... , ;

[0013] Step 2.2: Calculate the data transmission volume of the drone base station;

[0014] Regarding the first A drone base station, in a unit of time The amount of data that needs to be transmitted back is , ; Each drone base station in a unit of time The total amount of data that needs to be transmitted back is The calculation method is as follows:

[0015]

[0016] Step 2.3: Calculate the energy consumption for data backhaul from the UAV base station;

[0017] Regarding the first A drone base station communicates with a low-Earth orbit satellite system to transmit data traffic. The energy required for a drone base station is The calculation method is as follows:

[0018]

[0019] in, The energy required for the wireless transmission module of a drone base station to transmit a unit of traffic; that is, the amount of data traffic transmitted by the wireless transmission module of the drone base station. At that time, the required energy is ; These are the coefficients of the free-space channel model; For the first The distance between a drone base station and a low-Earth orbit satellite system; i.e., data traffic volume. The energy required for wireless transmission from a drone base station to a low-Earth orbit satellite system is ;

[0020] drone base station The energy required to transmit a unit of data traffic between the satellite and low-Earth orbit satellite systems is The calculation method is as follows:

[0021]

[0022] Step 2.4: Calculate the energy required for the drone base station to maintain flight.

[0023] Regarding the first A drone base station, which operates within a unit of time Inside, the energy required to maintain flight, denoted as , Calculated according to the following method:

[0024]

[0025] in, For the first The weight of a drone base station, The energy consumption required for a drone to support a unit weight of flight within a unit time T;

[0026] Step 2.5: Predict the sustainable flight time of the drone base station;

[0027] Regarding the first A drone base station, assuming it acts as a gateway node, has a continuous flight time of... The calculation method is as follows:

[0028]

[0029] Step 3: Predict the energy required for data aggregation by the drone base station. Specific methods include:

[0030] Regarding the first Assuming each drone base station is used as a gateway node, the energy required to aggregate the backhaul data from all drone base stations is: The calculation method is as follows:

[0031]

[0032] in, For drone base stations To drone base station The number of jumps; For drone base stations The volume of business data that needs to be transmitted back; For the process Jump, the The drone base station and the first The total distance of wireless spatial propagation for data transmission between drone base stations.

[0033] Step 4: Calculate the average sustainable flight time of the drone base station. Specific methods include:

[0034] Regarding the first The number of drone base stations is predicted to have a sustained flight time of [number missing]. Then targeting The average sustainable flight time of each drone base station is [value missing]. The calculation method is as follows:

[0035]

[0036] Among them, there are For each drone base station, its continuous flight time is greater than or equal to the average, i.e., it satisfies the following:

[0037]

[0038] in, ; For the first Sustainable flight time of a drone base station .

[0039] Step 5: Calculate the feature values ​​of the drone base station. Specific methods include:

[0040] Based on the predicted sustainable flight time of the drone base station and the energy consumption required for data backhaul and aggregation, the drone base station is calculated. eigenvalues , The calculation method is as follows:

[0041]

[0042] in, For the first The energy consumption required for data backhaul and aggregation from each drone base station.

[0043] Step 6, select the drone base station gateway node. The specific method is as follows:

[0044] against There are 1 drone base station, and the characteristic value of each drone base station is... , The largest eigenvalue is the th One drone base station, namely:

[0045]

[0046] in, It is a function for maximizing the value;

[0047] Then the first Each drone base station acts as a gateway node.

[0048] Step 7: Update the drone base station gateway node to complete the selection of a large-scale drone base station gateway node under the integrated space-ground network.

[0049] The specific method for updating the drone base station gateway node includes:

[0050] Wait for a while If the following conditions are met:

[0051]

[0052] If so, proceed to step 1; otherwise, repeat step 7.

[0053] The aforementioned integrated space-ground network refers to a network where the UAV base station can communicate directly with a low-Earth orbit satellite system, and is equipped with... The first drone base station, the first The drone base station is marked as , ;

[0054] The aforementioned gateway node selection refers to this... Select a drone base station and its gateway node.

[0055] Beneficial effects:

[0056] 1. The method proposed in this invention addresses the issue of large-scale UAV base station data backhaul by utilizing a single gateway node to uniformly manage communication with low-Earth orbit (LEO) satellite systems. This reduces the signaling overhead of LEO satellite systems and improves their wireless utilization. Setting up a single gateway node avoids direct communication between each UAV base station and the LEO satellite system, thus saving overall energy consumption of the UAV base station system.

[0057] 2. The method proposed in this invention considers the total number of hops and the total wireless propagation distance between the gateway node and other UAV base stations when selecting the gateway node. UAV base stations with fewer total hops and shorter wireless propagation distances are more likely to be selected as gateway nodes, thus reducing data backhaul latency and energy consumption.

[0058] 3. The method proposed in this invention sets a lower limit on the sustainable flight time of the drone base station when selecting the drone base station gateway node. The sustainable flight time of the selected gateway node drone base station must be higher than the average sustainable flight time of all drone base stations. This can prevent the selected drone base station from rapidly exiting service due to insufficient energy and from frequently changing gateway nodes.

[0059] 4. The method proposed in this invention sets up a dynamic update mechanism for the selected UAV base station gateway node after a certain period of time. This method adapts to the dynamic changes in the topology of large-scale UAV base stations on the one hand, and avoids a single UAV base station from acting as a gateway node for an extended period, which would cause rapid energy consumption and affect its network service time. Attached Figure Description

[0060] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments, and the advantages of the present invention in the above and / or other aspects will become clearer.

[0061] Figure 1 This is a schematic diagram of the overall process of the method of the present invention. Detailed Implementation

[0062] This application proposes a method for selecting gateway nodes for large-scale unmanned aerial vehicle (UAV) base stations. Under an integrated space-ground network architecture, it comprehensively considers factors such as the remaining energy of the UAV base station, the energy consumption per unit flight time, the energy consumption per unit of data transmission, and the amount of data traffic requiring backhaul. Suitable UAV base stations are selected as gateway nodes to aggregate the backhaul data from each UAV base station and communicate with the low-Earth orbit (LEO) satellite system, thus achieving large-scale data backhaul for UAV base stations. The method proposed in this application, while completing UAV base station data backhaul, can reduce the energy consumption of UAV base stations, increase flight time, reduce signaling overhead, and improve the wireless utilization rate of the LEO satellite system.

[0063] (1) Scheme Principle

[0064] In networks supporting integrated space-ground networking, when a large number of UAV base stations transmit data back, the first step is to execute a route discovery protocol to obtain the relative position information of each UAV base station, including hop count and wireless propagation distance. Then, based on the hop count, propagation distance, remaining energy, required data volume, and energy consumption per unit time, each UAV base station calculates its own characteristic value and broadcasts this value across the network. The UAV base station with the highest characteristic value automatically becomes the gateway node. Other UAV base stations, based on routes discovered through the routing protocol, transmit the data they need to transmit to the gateway node. The gateway node UAV base station then transmits all the data to the core network via a low-Earth orbit satellite system.

[0065] (2) Detailed description of the plan

[0066] In systems that support integrated space-ground networking, i.e., scenarios where drone base stations can communicate directly with low-Earth orbit satellite systems, assuming there are... The first drone base station, the first The drone base station is marked as , .

[0067] Regarding this A drone base station, such as Figure 1 As shown, select the drone base station gateway node according to the following steps.

[0068] Step 1: The drone base station executes the routing discovery protocol to obtain the location information of other drone base stations.

[0069] Based on the routing discovery protocol execution results, the drone base station obtains the hop count information between itself and other drone base stations, and then... The drone base station and the first The total number of hops between drone base stations is denoted as That is, the data starts from the first The drone base station transmitted to the first The number of hops required for each drone base station is ,when hour, .go through Jump, the The drone base station and the first The total distance that data travels between drone base stations in wireless space is . , ,when hour, .

[0070] Step 2: Predict the sustainable flight time of the drone base station.

[0071] Step 2.1: Calculate the remaining energy of the drone base station.

[0072] Regarding the first Each drone base station counts its remaining energy and marks it as... , .

[0073] Step 2.2: Count the data transmission volume of the drone base station.

[0074] Regarding the first A drone base station, which operates within a unit of time The amount of data that needs to be transmitted back is , . Each drone base station in a unit of time The total amount of data that needs to be transmitted back is It can be calculated using the following formula.

[0075] (1)

[0076] Step 2.3: Calculate the energy consumption for data backhaul from the UAV base station.

[0077] Regarding the first A drone base station communicates with a low-Earth orbit satellite system to transmit data traffic. The energy required for a drone base station is It can be calculated using the following formula.

[0078] (2)

[0079] in, The energy required for the wireless transmission module to transmit a unit of traffic depends on factors such as the system's coding and modulation; that is, the data traffic transmitted by the wireless transmission module of the UAV base station. At that time, the required energy is . These are the coefficients of the free space channel model; their specific values ​​depend on the arithmetic unit of the system's wireless module. For the first The distance between a drone base station and a low-Earth orbit satellite system; i.e., data traffic volume. The energy required for wireless transmission from a drone base station to a low-Earth orbit satellite system is .

[0080] drone base station The energy required to transmit a unit of data traffic back to a low-Earth orbit satellite system is It can be calculated using the following formula.

[0081] (3)

[0082] Step 2.4: Calculate the energy required for the drone base station to maintain flight.

[0083] Regarding the first A drone base station, which operates within a unit of time Inside, the energy required to maintain flight is labeled as , Its value is directly related to the weight of the drone base station and can be calculated using the following formula.

[0084] (4)

[0085] in, For the first The weight of a drone base station, This refers to the energy consumption required for a drone to support a unit weight of flight within a unit time T. Its value depends on the performance of the drone's own power system.

[0086] Step 2.5: Predict the sustainable flight time of the drone base station.

[0087] Regarding the first A drone base station, assuming it acts as a gateway node, has a continuous flight time of... It can be calculated using the following formula.

[0088] (5)

[0089] Step 3: Predict the energy required for data aggregation by the drone base station.

[0090] Regarding the first Assuming each drone base station is used as a gateway node, the energy required to aggregate the backhaul data from all drone base stations is: The energy required for data aggregation is directly related to the number of hops between drone base stations and the spatial distance of wireless propagation. The more hops and the greater the distance, the more energy is required. It can be calculated using the following formula.

[0091] (6)

[0092] in, For drone base stations To drone base station The number of jumps; For drone base stations The amount of business data that needs to be transmitted back. For the process Jump, the The drone base station and the first The total distance of wireless spatial propagation for data transmission between drone base stations.

[0093] Step 4: Calculate the average sustainable flight time of the drone base station.

[0094] Regarding the first The number of drone base stations is predicted to have a sustained flight time of [number missing]. Then targeting The average sustainable flight time of each drone base station is [value missing]. It can be calculated using the following formula.

[0095] (7)

[0096] Among them are A drone base station has a sustainable flight time greater than or equal to the average, i.e., it meets the following conditions.

[0097] (8)

[0098] in, ; For the first Sustainable flight time of a drone base station

[0099] Step 5: Calculate the feature values ​​of the drone base station.

[0100] Based on the predicted sustainable flight time of the drone base station and the energy consumption required for data backhaul and aggregation, the drone base station is calculated. eigenvalues , It can be calculated using the following formula.

[0101] (9)

[0102] Step 6: Select the drone base station gateway node.

[0103] against There are 1 drone base station, and the characteristic value of each drone base station is... , The largest eigenvalue is the th One drone base station, namely:

[0104] (10)

[0105] in, It is a function for maximizing the value.

[0106] Then, the first Each drone base station acts as a gateway node, responsible for communicating with the low-Earth orbit satellite system and undertaking the data backhaul work for N drone base stations.

[0107] Step 7: Update the drone base station gateway node.

[0108] Wait for a while If the following formula is satisfied, proceed to step 1; otherwise, continue to step 7.

[0109] (11)

[0110] Regarding time The value of is an integer multiple of the unit time T. That is:

[0111] (12)

[0112] in, This is a natural number, and its specific value is determined by the network operator based on the rate of change in the drone base station topology. When the drone base station topology is relatively stable and changes are minimal, then... The value should be set larger; when the topology of the drone base station is unstable and changes frequently, then... The value should be set smaller.

[0113] Example:

[0114] The following is an example of a real-world communication scenario: a certain drone base station group consists of... It consists of several drone base stations, supporting integrated space-ground networking, meaning that the drone base stations can communicate directly with low-orbit satellite systems.

[0115] Step 1: The drone base station executes the routing discovery protocol to obtain the location information of other drone base stations.

[0116] The drone base station executes a route discovery protocol to obtain the location information of other drone base stations. That is, based on the result of the route discovery protocol execution, the drone base station obtains the hop count information and wireless spatial propagation distance information between other drone base stations.

[0117] The first one obtained according to the route discovery protocol The drone base station and the first The total number of hops between drone base stations, i.e. The following are, in order: =0, =1, =1, =1, =2, =0, =2, =1, =1, =0, =1, =1, =0, =1, =0.

[0118] go through Jump, the The drone base station and the first The total distance that data travels between drone base stations in wireless space is (Unit: meters), in order: =0, =200, =300, =300, =100, =0, =200, =200, =100, =0, =400, =200, =0, =300, =0.

[0119] Step 2: Predict the sustainable flight time of the drone base station.

[0120] Step 2.1: Calculate the remaining energy of the drone base station.

[0121] For the five drone base stations, calculate their remaining energy, and their remaining energy (in kilowatt-hours) is as follows: =12, =14, =10, =12, =10.

[0122] Step 2.2: Count the data transmission volume of the drone base station.

[0123] For 5 drone base stations, within a unit of time The data volume (in bits) that needs to be transmitted back is as follows: =300, =500, =400, =300, =200.

[0124] this Each drone base station in a unit of time The total amount of data that needs to be transmitted back is , .

[0125] Step 2.3: Calculate the energy consumption for data backhaul from the UAV base station.

[0126] Regarding the first A drone base station communicates with a low-Earth orbit satellite system to transmit data traffic. The energy required for a drone base station is (Unit: Joules).

[0127] in The value is 100*10 -9 (Unit: Joules / bit) The value is 10*10 -12 (Unit: Joules / bit) For ease of calculation, the distances between all UAVs and low-Earth orbit satellites are shown. If it is 800,000 meters, then =100*10 -9 * -12 19200, =100*10 -9 * -12 , =100*10 -9 * 10 -12 , =100*10 -9 * 10 -12 , =100*10 -9 * 10 -12 .

[0128] The energy required (in kilowatt-hours) to transmit a unit of data traffic between each UAV base station and the low-Earth orbit satellite system is as follows: , , , , .

[0129] Step 2.4: Calculate the energy required for the drone base station to maintain flight.

[0130] For the 5 drone base stations, the weight (in kilograms) of each drone base station is as follows:

[0131] .

[0132] For 5 drone base stations, the energy consumption (kWh / kg) required to support flight of a unit weight (kg) within a unit time T is as follows: =0.1, =0.2, =0.2, =0.3, =0.1.

[0133] Then in a unit of time The energy required (in kilowatt-hours) for each drone base station to maintain flight is as follows: =8, = 20, =20, = 24, = 11.

[0134] Step 2.5: Predict the sustainable flight time of the drone base station.

[0135] For the 5 drone base stations, assuming each is a gateway node, the sustainable flight time (in hours) of each drone base station is as follows: =1.30, =0.48, =0.36, =0.43, = 0.84.

[0136] Step 3: Predict the energy required for data aggregation by the drone base station.

[0137] For each drone base station, assuming it acts as a gateway node, the energy required (in joules) to aggregate the backhaul data from all drone base stations is as follows: =0.00866, =0.00436, =0.01048, =0.01304, =0.00528.

[0138] Step 4: Calculate the average sustainable flight time of the drone base station.

[0139] For the five drone base stations, the average sustainable flight time is ,but = ( ) / 5=(1.30+0.48+0.36+0.43+0.84) / 5=0.682.

[0140] As shown above, there are two drone base stations, namely the first and the fifth drone base stations, whose continuous flight time is greater than or equal to the average.

[0141] Step 5: Calculate the feature values ​​of the drone base station.

[0142] Based on the predicted sustainable flight time of the UAV base stations and the energy consumption required for data backhaul and aggregation, the characteristic values ​​of the 1st and 5th UAV base stations are calculated as follows: , .

[0143] Step 6: Select the drone base station gateway node.

[0144] For the first and fifth drone base stations, due to Therefore, the fifth drone base station was identified as the gateway node.

[0145] In its specific implementation, this application provides a computer storage medium and a corresponding data processing unit. The computer storage medium is capable of storing a computer program, which, when executed by the data processing unit, can run the invention's content regarding a method for selecting gateway nodes for large-scale unmanned aerial vehicle (UAV) base stations under an integrated space-ground network, as well as some or all of the steps in various embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0146] Those skilled in the art will clearly understand that the technical solutions in the embodiments of the present invention can be implemented using computer programs and their corresponding general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of computer programs, i.e., software products. These computer program software products can be stored in a storage medium and include several instructions to cause a device containing a data processing unit (which may be a personal computer, server, microcontroller, MUU, or network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention.

[0147] This invention provides a method for selecting gateway nodes for large-scale UAV base stations in a space-ground integrated network. Many methods and approaches exist for implementing this technical solution; the above description is merely a preferred embodiment. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention. All components not explicitly stated in this embodiment can be implemented using existing technologies.

Claims

1. A method for selecting gateway nodes for large-scale unmanned aerial vehicle (UAV) base stations under an integrated space-ground network, characterized in that, Includes the following steps: Step 1: The drone base station executes the routing discovery protocol to obtain the location information of other drone base stations; Step 2, predict the sustainable flight time of the drone base station, specifically including: Step 2.1, calculate the remaining energy of the drone base station: Regarding the first Each drone base station counts its remaining energy and marks it as... , ; Step 2.2: Calculate the data transmission volume of the drone base station; Regarding the first A drone base station, in a unit of time The amount of data that needs to be transmitted back is , ; Each drone base station in a unit of time The total amount of data that needs to be transmitted back is The calculation method is as follows: ； Step 2.3: Calculate the energy consumption for data backhaul from the UAV base station; Regarding the first A drone base station communicates with a low-Earth orbit satellite system to transmit data traffic. The energy required for a drone base station is The calculation method is as follows: ； in, The energy required for the wireless transmission module of a drone base station to transmit a unit of traffic; that is, the amount of data traffic transmitted by the wireless transmission module of the drone base station. At that time, the required energy is ; These are the coefficients of the free-space channel model; For the first The distance between a drone base station and a low-Earth orbit satellite system; i.e., data traffic volume. The energy required for wireless transmission from a drone base station to a low-Earth orbit satellite system is ; drone base station The energy required to transmit a unit of data traffic between the satellite and low-Earth orbit satellite systems is The calculation method is as follows: ； Step 2.4, calculate the energy required for the drone base station to maintain flight: Regarding the first A drone base station, which operates within a unit of time Inside, the energy required to maintain flight is labeled as , Calculated according to the following method: ； in, For the first The weight of a drone base station, The energy consumption required for a drone to support flight of a unit weight within a unit time T; Step 2.5: Predict the sustainable flight time of the drone base station; Regarding the first A drone base station, assuming it acts as a gateway node, has a continuous flight time of... The calculation method is as follows: ； Step 3: Predict the energy required for data aggregation by the drone base station; Step 4: Calculate the average sustainable flight time of the drone base station; Step 5: Calculate the feature values ​​of the drone base station. Specific methods include: Based on the predicted sustainable flight time of the drone base station and the energy consumption required for data backhaul and aggregation, the drone base station is calculated. eigenvalues , The calculation method is as follows: ； in, For the first Energy consumption required for data backhaul and aggregation from a single drone base station; Step 6: Select the drone base station gateway node; Step 7: Update the drone base station gateway node to complete the selection of a large-scale drone base station gateway node under the integrated space-ground network.

2. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 1, characterized in that, The aforementioned integrated space-ground network refers to a network where the UAV base station can communicate directly with a low-Earth orbit satellite system, and is equipped with... The first drone base station, the first The drone base station is marked as , ; The aforementioned gateway node selection refers to this... Select a drone base station and its gateway node.

3. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 2, characterized in that, The step 1, obtaining the location information of other drone base stations, involves the drone base station acquiring hop count information and wireless spatial propagation distance information between other drone base stations based on the routing discovery protocol execution results. Specific methods include: The first The drone base station and the first The total number of hops between drone base stations is denoted as That is, the data starts from the first The drone base station transmitted to the first The number of hops required for each drone base station is ,when hour, ; go through Jump, the The drone base station and the first The total distance that data travels between drone base stations in wireless space is ; , ,when hour, .

4. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 3, characterized in that, The specific methods for predicting the energy required for data aggregation by the UAV base station as described in step 3 include: Regarding the first Assuming each drone base station is used as a gateway node, the energy required to aggregate the backhaul data from all drone base stations is: The calculation method is as follows: ； in, For drone base stations To drone base station The number of jumps; For drone base stations The volume of business data that needs to be transmitted back; For the process Jump, the The drone base station and the first The total distance of wireless spatial propagation for data transmission between drone base stations.

5. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 4, characterized in that, The method for calculating the average sustainable flight time of the UAV base station in step 4 includes: Regarding the first The number of drone base stations is predicted to have a sustained flight time of [number missing]. Then targeting The average sustainable flight time of each drone base station is [value missing]. The calculation method is as follows: ； Among them, there are For each drone base station, its continuous flight time is greater than or equal to the average, i.e., it satisfies the following: ； in, ; For the first Sustainable flight time of a drone base station .

6. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 5, characterized in that, The specific method for selecting the drone base station gateway node in step 6 is as follows: against There are 1 drone base station, and the characteristic value of each drone base station is... , The eigenvalue with the largest value is the k-th drone base station, i.e.: ； in, It is a function for maximizing the value; Then the first Each drone base station acts as a gateway node.

7. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 6, characterized in that, The specific method for updating the drone base station gateway node as described in step 7 includes: Wait for a while If the following conditions are met: ； If so, proceed to step 1; otherwise, repeat step 7.

8. The method for selecting a large-scale UAV base station gateway node under a space-ground integrated network according to claim 7, characterized in that, The time mentioned in step 7 Its value is an integer multiple of the unit time T, that is: ； in, It is a natural number.

Images