WO2024051470A1

WO2024051470A1 - Optimization method based on combination of 6g aerial base station and beidou satellite positioning

Info

Publication number: WO2024051470A1
Application number: PCT/CN2023/113682
Authority: WO
Inventors: 王玉梁; 朱文进
Original assignee: 中电信数智科技有限公司
Priority date: 2022-09-06
Filing date: 2023-08-18
Publication date: 2024-03-14
Also published as: CN115963520A; CN115963520B

Abstract

An optimization method based on combination of a 6G aerial base station and Beidou satellite positioning, the method comprising: creating an aerial base station, and constructing a time delay prediction model so as to perform time delay predictive analysis for each application scenario of the current NTN node; dividing the aerial base station into a Beidou side and an aerial base station side to acquire satellite positioning coordinate data; receiving the satellite positioning coordinate data, and generating a satellite mark containing a satellite level, an application scenario and expected time delay information in combination with analysis by the constructed satellite level scenario positioning model, so as to obtain the accurate satellite coordinates, the satellite level and the data of the application scenario, in which the satellite is located, of the aerial base station. By using the aerial base station as a relay point, satellites of the aerial base station can be accurately positioned by means of the Beidou RDSS positioning technology.

Description

An optimization method based on 6G air base station combined with Beidou satellite positioning

Technical field

The invention belongs to the field of satellite positioning technology, and specifically relates to an optimization method based on 6G air base station combined with Beidou satellite positioning.

Background technique

In terms of high-speed ubiquity and integration of space and ground, as China Telecom developed the "Tiantong-1" satellite mobile communication system, it proposed and built for the first time a three-dimensional network of "integration of space and ground, integration of communication and guidance, satellite-ground coordination, and wide and narrow complementarity", and won the Review the world's leading Internet scientific and technological achievements. China Telecom has fully implemented the "Broadband China" strategy, taken the lead in the construction of gigabit networks, and built the world's largest broadband Internet ChinaNet and CN2-DCI high-quality transport networks, reaching 70 countries around the world; it has built the world's largest ROADM all-optical network, the largest in China. The largest gigabit optical fiber network and high-quality government and enterprise OTN private networks; deepening the co-construction and sharing of 5G networks, and building the world's first and largest 5G SA commercial network. The 2022 new generation of Beidou will provide more accurate and reliable services to global users, and realize satellite-to-satellite networking and interconnection through inter-satellite links. In the same year, China Telecom's "Tiantong One", the world's first and largest 5G SA commercial network, also provided assistance for the precise positioning of China Telecom's aerial base station satellites.

In the 6G network communication environment, although traditional geostationary Earth Orbit (GEO) satellites can broadcast public and popular content (such as media content, security messages, and connected car software updates) to local servers very well, they cannot meet the time requirements. requirements for extension-sensitive applications. Relatively speaking, Low Earth Orbit (LEO) satellites can achieve a better balance between wide coverage and propagation delay/path loss. However, with the development of LEO satellite antenna technology, users' devices will be directly connected to 6G non-terrestrial networks in the near future.

Contents of the invention

The technical problem to be solved by the present invention is to provide an optimization method based on 6G air base station combined with Beidou satellite positioning in view of the above-mentioned shortcomings of the existing technology.

In order to achieve the above technical objectives, the technical solutions adopted by the present invention are:

An optimization method based on 6G air base stations combined with Beidou satellite positioning, including:

Step 1. Create an air base station and build a delay prediction model to perform delay prediction analysis for each application scenario of the current NTN node;

Step 2: Divide the air base station into the Beidou side and the air base station side to obtain satellite positioning coordinate data;

Step 3: Receive satellite positioning coordinate data, combine it with the analysis of the constructed satellite-level scene positioning model, generate satellite markers containing satellite level, application scenarios and expected delay information, and obtain the precise coordinates of the aerial base station satellite, satellite level and satellite The application scenario data.

In order to optimize the above technical solutions, specific measures taken also include:

In the above step one, first, non-terrestrial network nodes are formed into a 6G air base station by integrating satellites in different orbits, and Beidou signal receivers are installed on each satellite;

Secondly, the Beidou RDSS short message data is received through the Beidou signal receiver to position satellites in different orbits of the air base station, and the positioning coordinate data is transmitted to the core satellite of the 6G air base station;

Then, in view of the different delays of services at different satellite levels, a random forest algorithm is used to construct an expected delay value that fits the satellite application scenarios at each level to replace the 6G expected delay of NTN nodes.

The above-mentioned step 1 inputs the historical delay data of the application scenario stored by the current NTN node during normal operation into the delay prediction model operation to obtain the delay occurrence probability of each NTN node during normal operation in the next time period.

The non-ground communication infrastructure in the above-mentioned aerial base station includes UAV, HAPS, and VLEO, and the non-ground infrastructure and ground user terminals are connected through wireless signals, and their wireless communication related log data is stored on the aerial infrastructure.

The Beidou side described in step 2 above is used to perform Beidou positioning in areas not covered by ground base stations;

The air base station side acquires satellite coordinates based on Beidou side by constructing a precise positioning program and simulating Beidou navigation and positioning principles and technologies. At the same time, it uses the ground data of the air base station to return to the IAB base station and transmits it, and analyzes the ground satellite coordinate data returned by the air base station. , obtain the coordinate positioning based on the air base station itself.

If the Beidou measurement and air base station side error is more than 10%, and the error is still more than 10% after the Beidou secondary calculation, then the Beidou navigation positioning coordinates and the precise positioning program positioning returned by the ground IAB base station group of the air base station are used After the coordinates are weighted and averaged, the final coordinates of the current satellite are comprehensively determined. Finally, the final coordinates and related parameters are passed to the core satellite of the air base station.

The above-mentioned precise positioning program combines the data of the air base station with the Beidou navigation analysis data to perform satellite coordinate positioning; it uses the massive data analysis and transmission of the air base station and the ground base station group, and uses the ground base station and satellite closest to the satellite to send signals by satellite signals. For the 5G wireless access network RAN, the RAN uses both NR (gNB) and LTE (eNB) base stations to complete signal docking with the ground network base stations to obtain coordinates, satellite numbers, and air distance related information for analysis.

In the above step three, for the area not covered by the IAB ground base station group of the air base station, the core satellite of the air base station receives the Beidou side satellite positioning coordinate data. For the area covered by the IAB ground base station group of the air base station, the core satellite of the air base station receives the air positioning coordinate data. Satellite positioning coordinate data on the base station side.

In the above step three, combined with the analysis of the constructed satellite-level scene positioning model, the satellite application scenarios of all satellites of the aerial base station are obtained, and the satellite level and application scenarios are obtained based on the satellite positioning coordinate data, and satellite markers are generated, thereby obtaining the accurate satellite positioning of the aerial base station. Coordinates, satellite level and application scenario data where the satellite is located.

The above-mentioned satellite tag content includes: Beidou receiver ID, satellite level, satellite IP, coordinates, application scenarios, and expected delay.

The invention has the following beneficial effects:

Using air base stations as relay points and using Beidou RDSS positioning technology, China Telecom's "Tiantong 1" is the world's first and largest 5G SA commercial network, and it also provides assistance for the precise positioning of China Telecom's air base station satellites.

Description of the drawings

Figure 1 is a schematic diagram of the method of the present invention.

Detailed ways

The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

As shown in Figure 1, an optimization method based on 6G air base stations combined with Beidou satellite positioning includes:

Specifically: Create an air base station and use artificial intelligence models to predict and analyze delay for each application scenario of the current NTN (non-ground) node. and generate a table.

First, by integrating satellites in different orbits, non-terrestrial network nodes are organized into 6G aerial base stations, and Beidou signal receivers are installed on each satellite.

Secondly, the Beidou RDSS short message data is received through the Beidou signal receiver to accurately position satellites in different orbits of the air base station, and the positioning coordinate data is transmitted to the core satellite of the 6G air base station (for example: China Telecom's "Tiantong 1"). Because its own satellite positioning is not accurate enough, airborne base stations have deviations in data such as satellite application scenarios and expected delays. Beidou positioning can more accurately locate the scenario where the satellite is located, which facilitates subsequent services for the current scenario.

Then, in view of the different delays of services at different satellite levels, a random forest algorithm is used to construct an expected delay value that fits the satellite application scenarios at each level to replace the expected 6G delay of NTN (non-terrestrial communication) nodes. In this way, the expected latency of the NTN node's application scenario is transformed into an AI analysis latency that is more in line with the application scenario operation, and the value of the expected application scenario is maximized.

specific description:

Build a [Latency Prediction Model], and put the historical latency data of the application scenario stored in the current NTN node during normal operation into the [Latency Prediction Model] to calculate and obtain the normal business of each NTN node in the next time period (milliseconds, seconds, minutes) The probability of delay occurring during runtime.

[Delay prediction model] The formula is:

Parameter Description:

1. Set a constant n as the expected application scenario for how many air nodes there are.

2. Among them, |Di|/|D| refers to the expected application scenario delay probability of how many air nodes. When calculating H(i), the total number we bring in is the number of application scenarios. The Hi of each feature is obtained = the probability that the scene’s occurrence delay exceeds the scene’s initial threshold.

For example: There are |D| pieces of historical log data brought into unreasonable user communication network planning in urban/remote areas, and there are |Di| pieces of abnormal data that conform to scenario 1.

The specific description of the aerial base station is: In the 6G aerial scenario, the non-ground communication infrastructure mainly consists of common facilities such as UAV, HAPS, and VLEO. Non-ground infrastructure and ground user terminals are connected through wireless signals, and their wireless communication related log data is stored on the air infrastructure.

Specific noun description:

UAV: unmanned aerial vehicle

HAPS: High Altitude Platform Station communication system places wireless base stations on aircraft that stay at high altitudes for a long time to provide telecommunications services. It is considered to be a broadband wireless access method with good potential application value after 2010. . If its height is 20km, a communication area with a ground coverage radius of about 500km can be achieved

VLEO: Constellation

Distributed MIMO: Multiple input multiple output (mulTIple input mulTIple output, MIMO) wireless transmission technology has opened a new era in the development and utilization of space resources in mobile communication systems.

Finally, the normal operation delay probabilities predicted by all satellites of the NTN node are weighted and averaged to complete the AI analysis delay of each application scenario of the current NTN node and replace the expected delay as the expected delay of each application scenario of the current NTN node.

Principles of integrated communication technology between ground and air base stations

First, according to the scene characteristics, the satellite with the strongest coverage signal of the air base station and the corresponding satellite node with the best expected delay are selected as the temporary IAB node in the ground area that is not covered by the ground signal. Provides non-terrestrial access to users in remote areas without satellite connectivity.

Secondly, through deep RAN integration, different subsystems are integrated at the RAN level. And adopt a single wireless technology solution (the same air interface is used between terrestrial and non-terrestrial networks).

Finally, the satellite signal is sent to the 5G Radio Access Network (RAN), which can simultaneously use NR (gNB) and LTE (eNB) base stations. This completes the process of signal docking with the terrestrial network base station and the terrestrial network assisting the non-terrestrial network.

Then, ground and non-ground TRPs are coordinated by centralized control units in each area, and the control units in each area are interconnected through large-capacity interfaces. Terrestrial and non-terrestrial wireless resources are jointly managed through a unified control plane, and unified air interface physical layer parameters are adjusted according to instantaneous channel conditions, thereby fully utilizing resources while improving user reliability and service quality.

Step 2: In order to achieve 100% coverage, the air base station divides the satellite positioning into the Beidou side and the air base station side to obtain satellite positioning coordinate data respectively.

Beidou side: areas that are not covered by air base stations on the ground, such as oceans, remote mountainous areas, etc., are subject to Beidou positioning coordinates.

Aerial base station side: Construct a precise positioning program and simulate Beidou navigation and positioning principles and technologies to obtain satellite coordinates based on Beidou. At the same time, the powerful ground data of the aerial base station is used to transmit back to the IAB base station and transmit to analyze the data such as ground satellite coordinates returned by the aerial base station. Positioning based on the coordinates of the air base station itself. If the Beidou measurement and air base station side error is more than 10%, and the error is still more than 10% after the second Beidou calculation, then the Beidou navigation positioning coordinates and the coordinates of the precise positioning program positioning returned by the ground IAB base station group of the air base station are weighted After averaging, the final coordinates of the current satellite are comprehensively determined. Finally, the final coordinates and related parameters are transferred to the core satellite of the air base station.

Advantages of precise positioning procedures:

1. The air base station’s own data is combined with Beidou navigation analysis data to perform satellite coordinate positioning. Give full play to Beidou positioning advantages in areas where ground transmission is not available, and provide precise positioning for aerial base station satellites. Since the ground base station cannot transmit the data, the air base station covers the area and the data needs to be transmitted through the farther base station, which will also cause delays and errors.

2. Utilize the massive data analysis and transmission of the powerful ground base station group in the air, and use the ground base stations and satellites closest to the satellite to send signals from the satellite to the 5G Radio Access Network (RAN). The RAN can use NR (gNB) at the same time. and LTE (eNB) base stations. This completes signal docking with the ground network base station to obtain coordinates, satellite numbers, air distance and other relevant information for analysis. It can effectively avoid positioning errors that may be caused by atmospheric delay, tropospheric delay and ionospheric delay during the process of Beidou signal acquisition of air base station satellite coordinates.

Beidou side:

First, after the Beidou air navigation satellite receives a request from the air base station to obtain precise positioning information, the Beidou air system transmits it to the ground MCC through RDSS short message. The MCC notifies the Beidou branch service platform that stores the Beidou log data of the air base station to analyze and obtain Precise satellite coordinate data.

Secondly, through the Beidou application equipment (Beidou RDSS equipment, Beidou RDSS+RNSS equipment, Beidou RNSS equipment), the precise coordinates and other parameter-related analysis results are sent back to the Beidou satellites in the air in the form of RDSS short messages. The airborne Beidou satellite system is sending to the core satellite of the airborne base station. For example: China Telecom-Tiantong-1 satellite.

Then, the core satellite of the air base station will send the precise coordinate analysis results to satellites at all levels of the air base station through the Beidou air navigation satellite. Satellites at all levels use the precise coordinate information of the RDSS short message received by the Beidou receiver to calibrate the current coordinates and confirm the scene. In this way, the air base station combines with Beidou navigation to provide precise coordinate positioning for each satellite level, and the precise coordinates are used to confirm the application scenarios of each satellite of the air base station and provide commercial satellite services that are more in line with the current application scenarios.

Air base station side:

At the same time, the Beidou branch service platform managed by the Beidou Navigation Ground MCC will synchronously transmit the stored Beidou log data of the air base station to the ground data of the air base station through the Beidou API interface and transmit it back to the IAB base station. After receiving the log data, the IAB base station starts the precise positioning program and accurately positions the Beidou log data from three aspects.

Finally, the analysis results such as the precise coordinates and early warning probability values of all satellites are transmitted back to the core satellite of the air base station through the IAB base station group. After receiving the precise coordinates, the core satellite sends ground analysis coordinate information to all satellites through the air wireless signal network. The satellite receives The coordinate information is then collated with the coordinate information of the received Beidou RDSS short message. If the coordinate positioning error is within 10%, it is normal. Otherwise, a request is sent to Beidou again to obtain precise positioning information, and the secondary verification coordinates are calculated through Beidou side data analysis in step 2. Accuracy, so as to avoid the possibility of false alarms caused by abnormal air flow. If the error is still beyond 10%, the final coordinates of the current satellite will be comprehensively determined by taking the weighted average of the Beidou navigation positioning coordinates and the coordinates of the precise positioning program positioning returned by the ground IAB base station group of the air base station.

The precise positioning program mainly simulates the existing technical principles of Beidou and innovatively combines the powerful ground multi-base station computing and transmission capabilities of air base stations to provide another technical solution for precise positioning of satellite coordinates. The precise positioning program performs analysis-level processing on the three main sources of errors that affect positioning accuracy.

1. Errors related to satellites: mainly include satellite ephemeris errors and satellite clock errors.

2. Errors related to signal propagation: The navigation signal from the satellite needs to pass through the atmosphere to propagate to the receiver. The impact of the atmosphere on propagation is mainly represented by atmospheric delay, which mainly includes ionospheric delay and tropospheric signal. Before the signal enters the receiver antenna, the navigation signal Reflection from buildings or water in front of the receiver antenna causes multipath effects.

3. Errors related to the receiver and measuring station: mainly including receiver clock error, receiver antenna phase center offset, receiver noise and other errors.

The precise positioning program executes different commands according to different situations. Detailed description:

Satellite errors related to signal propagation

Because the satellite's ephemeris and clock error are the result of the main control station of the ground operation control system estimating the orbit parameters and clock error parameters based on the observation data of the monitoring station, and then using the estimated values for forecasting. Therefore, satellite ephemerides and clock errors contain both errors caused by inaccurate parameter estimates and errors caused by inaccuracies in forecast models. These errors are included in the navigation message. If the user directly uses them for positioning without correction, it will inevitably lead to deviations in the positioning results. Therefore, satellite-related The errors mainly include satellite ephemeris errors and clock error.

1-1. Processing process of correcting ephemeris error program

Because the difference between the satellite orbit calculated by the satellite ephemeris and the actual orbit is called the ephemeris error, that is, the error caused by the extrapolation of the satellite orbit from the broadcast ephemeris in the navigation message.

First, the program executes to obtain the Beidou navigation short message information orbit parameters and clock offset parameters. At the same time, the air base station and the ground IAB base station group are obtained. The base station closest to the target satellite is used to integrate different subsystems at the RAN level through deep RAN integration. And adopt a single wireless technology solution (the same air interface is used between terrestrial and non-terrestrial networks).

Secondly, satellite signals are sent through the 5G Radio Access Network (RAN), which can use both NR (gNB) and LTE (eNB) base stations. Terrestrial and non-terrestrial wireless resources are jointly managed through a unified control plane, and unified air interface physical layer parameters are adjusted according to instantaneous channel conditions, thereby fully utilizing resources while improving user reliability and service quality.

Then, the difference between the navigation message orbit parameters and the satellite orbit parameters obtained by the air base station on the ground is compared, which is called the optimized ephemeris error. Compare the difference between the optimized ephemeris error and the ephemeris error. If it is greater than 10%, the optimized ephemeris error shall prevail, and an inspection coordinate identification will be generated. Anyway, the ephemeris error shall prevail.

1-2. Clock error

The program is executed based on the Beidou satellite deviation formula: Δt＝a ₀ +a ₁ (tt _oc )+a ₂ (tt _oc ) ²

Among them, a ₀ is the clock error of the satellite clock at the reference epoch t _oc ; a ₁ is the clock speed of the satellite clock; a ₂ is the clock drift (ie, the clock speed change rate) of the satellite clock. These parameters are measured by the master control station and sent to the user through the satellite's navigation message.

After the satellite clock error is corrected by the polynomial model, there are still inevitable errors. The clock error calculated using the clock error parameters is different from the actual clock error. The accuracy of the satellite clock error corrected by broadcast ephemeris is S ~ 10ns. In relative positioning , can be eliminated by calculating the difference in observation values between measuring stations.

2. Errors related to signal propagation

Characteristics of Ionospheric Delay Error

The area of the atmosphere 60 to 1000km away from the ground is ionized by the photochemical dissociation of solar ultraviolet radiation and The area that contains a large number of free electrons and positive and negative ions is called the ionosphere.

2-1. Ionospheric delay and its correction method

Including different correction methods for Beidou-2 and Beidou-3, this patent is mainly based on the correction method of Beidou-3 dual-frequency receiver:

For dual-frequency users using BIC and B2a signals, the dual-frequency ionosphere-free combined pseudorange algorithm is used to correct the impact of electrical delay. The calculation method is as follows.

The literature comes from ("Beidou Satellite Positioning and Principles" page 118)

1. For dual-band users using BIC pilot component and B2a pilot component

2. For dual-band users using BIC pilot component and B2a data component

3. For dual-band users using BIC data component and B2a pilot component

4. For dual-band users using BIC data component and B2a data component

PR _B1Cp and PR _B2ap are the dual-frequency ionosphere-free combined pseudoranges of the BIC pilot component and B2a data component; for specific instructions, please refer to page 119 of the document "Beidou Satellite Positioning and Principles".

2-2. Tropospheric delay and its correction method

The troposphere is the layer of atmosphere that extends from the ground to about 50km above. When satellite navigation signals pass through it, the propagation speed and propagation path of the signal are changed. We call this phenomenon tropospheric delay. The impact of tropospheric delay on navigation signals is that the delay in the zenith direction is 1.9-2.5m; as the altitude angle continues to decrease, the tropospheric delay will increase to 20-80m.

Tropospheric zenith delay model:

Among them, D _tro represents the total delay in any direction of the troposphere; Represents the dry and wet delays in the tropospheric zenith delay direction respectively. MF(E) represents the overall mapping function, MF _dry (E) and MF _wet (E) represent dry and wet mapping functions respectively. E represents the elevation angle of the signal path. Please refer to page 119 of the document "Beidou Satellite Positioning and Principles".

3. Errors related to receivers and measuring stations

3-1. Antenna phase center error

In Beidou navigation and positioning, both the pseudorange observation value and the carrier phase observation value are based on the phase center position of the receiver antenna, and the phase center of the antenna and its geometric center should be consistent in theory. However, the actual phase center position of the antenna changes with the intensity and direction of the signal input, that is, the instantaneous position of the phase center during observation (generally called the apparent phase center) will be different from the theoretical phase center position. . The deviation of the antenna phase center is relative to the The impact on positioning results can range from several millimeters to several centimeters depending on the performance of the antenna. Therefore, for precise relative positioning, the error caused by the antenna phase center cannot be ignored.

In the ground-fixed coordinate system, the phase center offset is projected onto the direction vector from the receiver to the satellite, and the distance error caused by the phase center offset of the receiver antenna is obtained as Among them, Rs is the position vector of the satellite in the earth-fixed coordinate system.

4. Other errors

4-1. Relativistic effect

For satellite navigation systems, the non-circular orbit value is a fixed value, so it can be solved by reducing the frequency in the satellite. In this way, the influence of relativistic effects can be eliminated.

Please refer to page 125 of the document "Beidou Satellite Positioning and Principles".

Step 3: Receive the Beidou side satellite positioning coordinate data from the core satellite of the air base station in the area that is not covered by the IAB ground base station group of the air base station. On the contrary, receive the satellite positioning coordinate data from the air base station side.

Then, combined with the analysis of the constructed [Satellite Level Scenario Positioning Model], the analysis results are the satellite application scenarios of all satellites in the air base station, and the satellite level and application scenarios are obtained based on the satellite positioning coordinate data, and satellite markers are generated to accurately obtain the air base station satellites. Important data for commercial satellite services such as precise coordinates, satellite hierarchy, and application scenarios where the satellite is located.

Satellite tag format: Beidou receiver ID###Satellite level###Satellite IP###Precise coordinates###Application scenario###AI expected delay.

The formula of the satellite-level scene positioning model is: minf(x)=(f ₁ (x),..., f _p (x)) ^T ,

The variable feasible region is S, and the corresponding target feasible region Z=f(S).

Given a feasible point have have but It is called the absolute optimal solution to the multi-objective programming problem. If x∈S does not exist, then but It is called the effective solution to the goal programming problem, and the effective solution to the multi-objective programming problem is also called the Pareto optimal solution.

Example: S = valid data

f = classification

Z=f(S): All classifications that meet the application scenarios of air base stations

f(x)=current level satellite data and approximate data

x=approximate data

The main characteristics and expectations of non-ground nodes and commercial services for application scenarios after precise positioning are shown in Table 1.

Table 1

The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above-mentioned embodiments. All technical solutions that fall under the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art, several improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

An optimization method based on 6G air base stations combined with Beidou satellite positioning, which is characterized by including:

Step 1. Create an air base station and build a delay prediction model to perform delay prediction analysis for each application scenario of the current NTN node;

Step 2: Divide the air base station into the Beidou side and the air base station side to obtain satellite positioning coordinate data;

Step 3: Receive satellite positioning coordinate data, combine it with the analysis of the constructed satellite-level scene positioning model, generate satellite markers containing satellite level, application scenarios and expected delay information, and obtain the precise coordinates of the aerial base station satellite, satellite level and application scenario data where the satellite is located. .
An optimization method based on 6G aerial base stations combined with Beidou satellite positioning according to claim 1, characterized in that in step one, first, non-ground network nodes are formed into a 6G aerial base station by integrating satellites in different orbits, And install Beidou signal receivers on each satellite;

Secondly, the Beidou RDSS short message data is received through the Beidou signal receiver to position satellites in different orbits of the air base station, and the positioning coordinate data is transmitted to the core satellite of the 6G air base station;

Then, in view of the different delays of services at different satellite levels, a random forest algorithm is used to construct an expected delay value that fits the satellite application scenarios at each level to replace the 6G expected delay of NTN nodes.
An optimization method based on 6G air base stations combined with Beidou satellite positioning according to claim 1, characterized in that the first step is to input the historical delay data of the application scenario stored in the current NTN node during normal operation into the delay prediction model The operation can obtain the delay occurrence probability of each NTN node's business during normal operation in the next time period. The normal operation delay probability predicted by all satellites of the NTN node is weighted and averaged, thereby completing the AI analysis delay of each application scenario of the current NTN node, and replacing The expected delay is the expected delay of each application scenario of the current NTN node.
An optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 1, characterized in that the non-ground communication infrastructure in the air base station includes UAV, HAPS, VLEO, and the non-ground infrastructure and ground users Terminals are connected through wireless signals, and their wireless communication related log data is stored on the air infrastructure.
An optimization method based on 6G air base stations combined with Beidou satellite positioning according to claim 1, characterized in that the Beidou side in step two is used to perform Beidou positioning in areas not covered by the ground of the air base stations;

The air base station side acquires satellite coordinates based on Beidou side by constructing a precise positioning program and simulating Beidou navigation and positioning principles and technologies. At the same time, it uses the ground data of the air base station to return to the IAB base station and transmits it, and analyzes the ground satellite coordinate data returned by the air base station. , obtain the coordinate positioning based on the air base station itself.

If the Beidou measurement and air base station side error is more than 10%, and the error is still more than 10% after the Beidou secondary calculation, then the Beidou navigation positioning coordinates and the precise positioning program positioning returned by the ground IAB base station group of the air base station are used After the coordinates are weighted and averaged, the final coordinates of the current satellite are comprehensively determined. Finally, the final coordinates and related parameters are passed to the core satellite of the air base station.
An optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 5, characterized in that the precise positioning program performs satellite coordinate positioning by combining the air base station's own data with reference to Beidou navigation analysis data; using the air base station For massive data analysis and transmission of ground base station groups, the ground base stations and satellites closest to the satellite are used to send satellite signals to the 5G wireless access network RAN. The RAN uses both NR (gNB) and LTE (eNB) base stations to complete the communication with the ground. The network base station performs signal docking to obtain coordinates, satellite numbers, and air distance related information for analysis.
An optimization method based on 6G air base stations combined with Beidou satellite positioning according to claim 1, characterized in that in the third step, the IAB ground base station group of the air base station does not cover the area, and the core satellite of the air base station receives Beidou Side satellite positioning coordinate data, for the area covered by the IAB ground base station group of the air base station, the core satellite of the air base station receives the side satellite positioning coordinate data of the air base station.
An optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 1, characterized in that in the third step, the satellite application scenarios of all satellites of the air base station are obtained by combining the analysis of the constructed satellite level scene positioning model , and obtain the satellite level and application scenarios based on the satellite positioning coordinate data, and generate satellite tags, thereby obtaining the precise coordinates of the aerial base station satellite, satellite level, and application scenario data where the satellite is located.
An optimization method based on 6G air base stations combined with Beidou satellite positioning according to claim 8, characterized in that the satellite mark content includes: Beidou receiver ID, satellite level, satellite IP, coordinates, application scenarios, expected time extension.