CN115963520A - Optimization method based on 6G aerial base station combined with Beidou satellite positioning - Google Patents
Optimization method based on 6G aerial base station combined with Beidou satellite positioning Download PDFInfo
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- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention discloses an optimization method based on 6G air base station combined with Beidou satellite positioning, which comprises the steps of establishing an air base station, and constructing a time delay prediction model to perform time delay prediction analysis on each application scene 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; and receiving satellite positioning coordinate data, and generating a satellite mark containing satellite hierarchy, application scene and expected time delay information by combining with the constructed satellite hierarchy scene positioning model analysis to obtain the precise coordinates of the aerial base station satellite, the satellite hierarchy and the application scene data of the satellite. The invention takes the aerial base station and the like as relay points, and provides assistance for the precise positioning of the aerial base station satellite by utilizing the Beidou RDSS positioning technology.
Description
Technical Field
The invention belongs to the technical field of satellite positioning, and particularly relates to an optimization method based on 6G aerial base station combined with Beidou satellite positioning.
Background
In the aspect of high-speed ubiquitous and all-in-one, along with the development of a satellite mobile communication system of heaven-earth communication No. I in China telecommunication, a three-dimensional network of heaven-earth fusion, communication and guidance integration, satellite-earth collaboration and width complementation is proposed and constructed for the first time, and the advanced scientific and technological achievement of the world internet is evaluated. Chinese telecom comprehensively implements the strategy of 'broadband China', the kilomega network construction is firstly developed, the largest global broadband Internet China Net and CN2-DCI fine product bearing network is built, and the wide broadband China telecom reaches 70 countries all over the world; building a ROADM all-optical network with the largest global scale, a gigabit optical fiber network with the largest domestic scale and a competitive product private network of government and enterprise OTN; the 5G network co-construction and sharing are deepened, and the first 5G SA commercial network with the largest scale is built globally. 2022 the new generation of big dipper will provide more accurate and reliable service for global users, and realize star-to-star networking, interconnection and intercommunication through inter-satellite link. The first global largest-scale 5G SA commercial network of China telecommunication 'Tiantong number one' in the same year also provides assistance for the precise positioning of the China telecommunication air base station satellite.
In a 6G network communication environment, a conventional geosynchronous Orbit Geostationary Earth Orbit (GEO) satellite can well broadcast common and popular content (such as media content, security messages, and networking automobile software update guides) to a local server, but cannot meet the requirements of delay-sensitive applications. Low Earth Orbit (LEO) satellites, by contrast, may achieve a better balance between wide coverage and propagation delay/path loss. But with the development of LEO satellite antenna technology, the user's equipment will directly access 6G non-terrestrial networks in the near future.
Disclosure of Invention
The invention aims to solve the technical problem of providing an optimization method based on 6G aerial base station combined with Beidou satellite positioning aiming at the defects of the prior art.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
an optimization method based on 6G aerial base station combined with Beidou satellite positioning comprises the following steps:
step one, establishing an air base station, and constructing a time delay prediction model to perform time delay prediction analysis on each application scene of the current NTN node;
step two, dividing the aerial base station into a Beidou side and an aerial base station side to acquire satellite positioning coordinate data;
and thirdly, receiving satellite positioning coordinate data, and combining with analysis of the constructed satellite level scene positioning model to generate a satellite mark containing satellite levels, application scenes and expected time delay information so as to obtain precise coordinates of the aerial base station satellite, satellite levels and application scene data of the satellite.
In order to optimize the technical scheme, the specific measures adopted further comprise:
in the first step, firstly, non-ground network nodes are assembled into a 6G air base station by integrating different orbit satellites, and a Beidou signal receiver is installed on each satellite;
secondly, the Beidou signal receiver receives Beidou RDSS short message data to position different orbit satellites of the air base station, and the positioning coordinate data is transmitted to a 6G air base station core satellite;
and then, aiming at different time delays of different satellite level services, a random forest algorithm is adopted to construct a time delay expected value fitting with the application scene of each level satellite to replace the 6G expected time delay of the NTN node.
The first step is to input the historical time delay data stored in the current NTN node when the application scene operates normally into the time delay prediction model for operation, so as to obtain the time delay occurrence probability of each NTN node service in the next time period when the service operates normally.
The non-ground communication infrastructure in the air base station comprises UAV, HAPS, VLEO, and the non-ground infrastructure is connected with the ground user terminal through wireless signals, and the log data related to wireless communication is stored in the air infrastructure.
The Beidou side in the second step is used for carrying out Beidou positioning on the area which cannot be covered by the ground of the air base station;
the aerial base station side acquires satellite coordinates based on the Beidou side by constructing an accurate positioning program and simulating a Beidou navigation positioning principle and technology, and simultaneously returns ground data of the aerial base station to the IAB base station and transmits the IAB base station, and analyzes the ground satellite coordinate data returned by the aerial base station to obtain coordinate positioning based on the aerial base station.
The error of the Beidou navigation positioning coordinate and the error of the aerial base station side are more than 10%, the error is still more than 10% after the Beidou secondary calculation, the final coordinate of the current satellite is comprehensively determined after the Beidou navigation positioning coordinate and the coordinate of the precise positioning program positioning fed back by the ground IAB base station group of the aerial base station are weighted and averaged, and finally the final coordinate and related parameters are transmitted to the core satellite of the aerial base station.
The precise positioning program combines the self data of the aerial base station with the Beidou navigation analysis data to perform satellite coordinate positioning; massive data analysis and transmission of an aerial base station ground base station group are utilized, a ground base station and a satellite which are closest to the satellite are utilized to send signals to a 5G radio access network RAN through satellite signals, the RAN uses NR (gNB) and LTE (eNB) base stations at the same time to complete signal butt joint with the ground network base stations, and accordingly coordinates, satellite numbers and aerial distance related information are obtained to be analyzed.
In the third step, the air base station core satellite receives the Beidou side satellite positioning coordinate data in the area which is not covered by the IAB ground base station group of the air base station, and the air base station core satellite receives the air base station side satellite positioning coordinate data in the area which is covered by the IAB ground base station group of the air base station.
In the third step, the satellite application scenes of all satellites of the aerial base station are obtained by combining the analysis of the constructed satellite level scene positioning model, the satellite levels and the application scenes are obtained according to the satellite positioning coordinate data, and the satellite marks are generated, so that the accurate coordinates of the satellites of the aerial base station, the satellite levels and the application scene data of the satellites are obtained.
The satellite tag content includes: beidou receiver ID, satellite hierarchy, satellite IP, coordinates, application scenario, expected latency.
The invention has the following beneficial effects:
the aerial base station and the like are used as relay points, and the Beidou RDSS positioning technology is utilized to provide assistance for the first largest-scale 5G SA commercial network in the world of 'Tiantong I' in China telecommunication and the accurate positioning of the aerial base station satellite in China telecommunication.
Drawings
FIG. 1 is a schematic diagram of the method of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, an optimization method based on 6G air base station combined with Beidou satellite positioning includes:
step one, an air base station is established, and a delay prediction model is established to perform delay prediction analysis on each application scene of the current NTN node;
specifically, the method comprises the following steps: and (3) creating an air base station and performing predictive analysis on time delay for each application scene of the current NTN (non-ground) node through an artificial intelligence model. And generates a table.
Firstly, different orbit satellites are integrated, non-ground network nodes are assembled to form a 6G aerial base station, and a Beidou signal receiver is installed on each satellite.
Secondly, the Beidou signal receiver receives Beidou RDSS short message data to accurately position different orbit satellites of the aerial base station, and the positioning coordinate data is transmitted to a core satellite (such as a China telecom 'Tiantong one' satellite) of the 6G aerial base station. The aerial base station has the advantages that due to the fact that self satellite positioning is not accurate enough, data such as satellite application scenes and expected time delay are deviated, the scene where the satellite is located can be accurately positioned through Beidou positioning, and various services aiming at the current scene are convenient to follow.
Then, aiming at different time delays of different satellite level services, a random forest algorithm is adopted to construct a time delay expected value fitting with a satellite application scene of each level to replace 6G expected time delay of NTN (non-terrestrial communication) nodes. Therefore, the expected time delay of the application scene of the NTN node is converted into the AI analysis time delay which is more consistent with the operation of the application scene, and the value of the expected application scene is brought into play to the maximum.
The specific description is as follows:
and (3) constructing a [ time delay prediction model ], and putting historical time delay data stored by the current NTN node when the application scene operates normally into the [ time delay prediction model ] to calculate to obtain the time delay occurrence probability of each NTN node service in the next time period (millisecond, second and minute) when the service operates normally.
[ time delay prediction model ] the formula is as follows:
description of the parameters:
1. a constant n is set as the expected application scenario of how many air nodes are.
2. And | Di |/| D | refers to the expected application scenario delay probability of the air nodes, and the total number brought by the air nodes in H (i) calculation is the number of application scenarios. And obtaining Hi = probability that the scene occurrence delay exceeds the scene initial threshold value of each feature.
For example: the unreasonable historical log data of user communication network planning brought into the city/remote area has | D | pieces, and | Di | pieces of abnormal data in accordance with a scene.
The aerial base station is specifically described as: in 6G air scene, the non-ground communication infrastructure mainly comprises common facilities such as UAVs, HAPS, VLEO and the like. The non-ground infrastructure and the ground user terminal are connected through wireless signals, and the wireless communication related log data is stored on the air infrastructure.
The specific nouns describe:
UAV: unmanned aircraft
HAPS: a High Altitude Platform (HAPS) communication system places a wireless base Station on an aircraft staying in High Altitude for a long time to provide telecommunication service, and is considered to be a broadband wireless access means with good potential application value after 2010. If the height is 20km, a communication area with ground coverage radius of about 500km can be realized
VLEO: constellation
Distributed MIMO: the MIMO (mulTIple input mulTIple output) wireless transmission technology opens a new era of development and utilization of space resources of mobile communication systems.
And finally, carrying out weighted average on the normal operation time delay probabilities predicted by all satellites of the NTN node, thereby completing AI analysis time delay of each application scene of the current NTN node, and replacing the expected time delay to be used as the expected time delay of each application scene of the current NTN node.
Ground and aerial base station integrated communication technical principle
Firstly, selecting a satellite with the strongest signal covered by the aerial base station and a corresponding satellite node with the best expected time delay as a temporary IAB node according to scene characteristics in a ground area which cannot be covered by ground signals. Non-terrestrial access is provided to users in remote areas without satellite connectivity.
And secondly, performing RAN level fusion on different subsystems through deep RAN fusion. And a single radio solution (the same air interface is used between the ground and non-ground networks) is adopted.
Finally, the satellite signals to the mobile station through a 5G Radio Access Network (RAN) that can use both NR (gNB) and LTE (eNB) base stations. Thereby completing the signal butt joint with the ground network base station and the flow of the ground network assisting the non-ground network.
Then, the TRP of the ground and the TRP of the non-ground are coordinated by the centralized control units of each area, and the control units of each area are interconnected through a large-capacity interface. The wireless resources of the ground and the non-ground network are jointly managed through the unified control plane, and the unified air interface physical layer parameters are adjusted according to the instantaneous channel conditions, so that the reliability and the service quality of the are improved while the resources are fully utilized.
And step two, the aerial base station divides satellite positioning into a Beidou side and an aerial base station side for realizing 100% coverage and respectively acquires satellite positioning coordinate data.
Big dipper side: areas with no ground coverage for the air base station are for example: the Beidou positioning coordinates of the ocean, remote mountain areas and the like are the standard.
Aerial base station side: and establishing an accurate positioning program, simulating a Beidou navigation positioning principle and technology to obtain a coordinate based on the Beidou measured satellite, and simultaneously utilizing powerful ground data of the air base station to return to the IAB base station and transmitting the data such as the ground satellite coordinate returned by the air base station to analyze so as to obtain the coordinate positioning based on the air base station. The error of the Beidou navigation satellite and the aerial base station side is more than 10%, the error is still more than 10% after the Beidou navigation satellite is subjected to secondary calculation, and the final coordinate of the current satellite is comprehensively determined after the Beidou navigation positioning coordinate and the coordinate of the precise positioning program returned by the ground IAB base station group of the aerial base station are weighted and averaged. And finally, transmitting the final coordinate and the related parameters to the core satellite of the air base station.
The advantages of the precision positioning procedure:
1. and the self data of the aerial base station is combined with the Beidou navigation analysis data to carry out satellite coordinate positioning. The Beidou positioning advantage is exerted on the area where ground transmission can not be achieved, and accurate positioning is carried out on the aerial base station satellite. Since the ground base station cannot transmit, the data covering the area by the air base station needs to be transmitted through a far base station, which also causes delay and error.
2. Massive data analysis and transmission of a ground base station group with powerful aerial base stations are utilized, a ground base station and a satellite which are closest to the satellite are utilized to send signals to a 5G Radio Access Network (RAN) through satellite signals, and the RAN can use NR (gNB) and LTE (eNB) base stations at the same time. Therefore, signal butt joint with a ground network base station is completed, and relevant information such as coordinates, satellite numbers, air distances and the like is acquired for analysis. Positioning errors possibly caused by atmospheric layer delay, troposphere delay and ionosphere delay in the process of acquiring the satellite coordinates of the aerial base station by the Beidou signals can be effectively avoided.
Big dipper side:
firstly, after a Beidou air navigation satellite receives an air base station request to acquire accurate positioning information, a Beidou air system transmits the accurate positioning information to a ground MCC (China Mobile subscriber station) in a RDSS (remote data service) short message mode, and the MCC informs a Beidou sub-management service platform storing Beidou log data of the air base station to analyze the Beidou sub-management service platform so as to acquire accurate satellite coordinate data.
Secondly, the Beidou application equipment comprises Beidou RDSS equipment, beidou RDSS + RNSS equipment and Beidou RNSS equipment, and the accurate coordinate and other parameter related analysis results are returned to the aerial Beidou satellite in an RDSS short message mode. The air Beidou satellite system sends the data to an air base station core satellite. For example: china telecom-Tiantong satellite No. one.
And then, the core satellite of the air base station sends the accurate coordinate analysis result to each level of satellite of the air base station through the Beidou air navigation satellite. And the satellite of each level carries out current coordinate correction and scene confirmation through the accurate coordinate information of the RDSS short message received by the Beidou receiver. Therefore, the aerial base station combines the Beidou navigation to provide accurate coordinate positioning for each satellite level, confirms the application scene of each satellite of the aerial base station through the accurate coordinate and provides commercial satellite service which is more consistent with the current application scene.
Aerial base station side:
meanwhile, the Beidou management service platform managed by the Beidou navigation ground MCC transmits the stored Beidou log data of the aerial base station to the ground data of the aerial base station through the Beidou API (application program interface) to be returned to the IAB base station. And the IAB base station starts an accurate positioning program after receiving the log data, and accurately positions the Beidou log data from the aspect 3.
And finally, returning analysis results such as accurate coordinates and early warning probability values of all satellites to an air base station core satellite through an IAB base station group, sending ground analysis coordinate information to all satellites through an air wireless signal network after the core satellite receives the accurate coordinates, calibrating the satellite after receiving the coordinate information with the received Beidou RDSS short message coordinate information, if the coordinate positioning error is normal within 10%, sending a request to the Beidou again to obtain accurate positioning information, and analyzing and calculating secondary verification coordinate accuracy through the Beidou side data in the second step, so that the possibility of positioning error report caused by abnormal airflow can be avoided as much as possible. And if the error is still beyond 10%, the Beidou navigation positioning coordinate and the coordinate positioned by the precise positioning program returned by the ground IAB base station group of the aerial base station are weighted and averaged, and then the final coordinate of the current satellite is comprehensively determined.
The precise positioning program mainly simulates the prior art principle of the Beidou and innovatively combines strong ground multi-base-station operation and transmission capability of the aerial base station, and provides another technical scheme for precise positioning of satellite coordinates. The accurate positioning program carries out analysis level processing aiming at 3 types of main error sources influencing the positioning accuracy.
1. Satellite-related errors: mainly including satellite ephemeris error and satellite clock error.
2. Error associated with signal propagation: the navigation signal transmitted by the satellite needs to pass through the atmosphere when being transmitted to the receiver, the influence of the atmosphere on the propagation is mainly represented by atmospheric delay, and the atmospheric delay mainly comprises ionospheric delay and multipath effect caused by the reflection of the navigation signal by buildings or water surfaces and the like in front of the receiver antenna before the tropospheric signal enters the receiver antenna.
3. Errors associated with the receiver and the stations: there are mainly errors such as receiver clock error, receiver antenna phase center offset, receiver noise, etc.
The precise positioning program executes different command specific descriptions aiming at different situations:
satellite signal propagation related errors
The ephemeris and clock error of the satellite are the results obtained by the main control station of the ground operation and control system estimating the orbit parameters and the clock error parameters according to the observation data of the monitoring station and then forecasting by utilizing the estimated values. Thus, the ephemeris and clock bias of the satellites contain both the errors introduced by inaccuracies in the parameter estimates and the errors introduced by inaccuracies in the prediction model. These errors are included in the navigation message, and the user directly uses the navigation message for positioning without correction, which inevitably causes deviation of the positioning result. Thus, the satellite-related errors mainly include satellite ephemeris errors and clock error errors.
1-1, procedure for correcting ephemeris error
The difference between the satellite orbit calculated by the satellite ephemeris and the actual orbit is called ephemeris error, that is, the error caused by the extrapolation of the satellite orbit by the broadcast ephemeris in the navigation message.
Firstly, a program executes to acquire orbit parameters and clock error parameters of Beidou navigation short message information. And simultaneously acquiring a base station of the aerial base station ground IAB base station group closest to the target satellite, and performing RAN level fusion on different subsystems through deep RAN fusion. And a single radio solution (the same air interface is used between the ground and non-ground networks) is adopted.
Second, satellite signals are transmitted through a 5G Radio Access Network (RAN), which can use NR (gNB) and LTE (eNB) base stations simultaneously. The wireless resources of the ground and the non-ground network are jointly managed through the unified control plane, and the unified air interface physical layer parameters are adjusted according to the instantaneous channel conditions, so that the reliability and the service quality of the are improved while the resources are fully utilized.
And then, comparing the difference value of the navigation message orbit parameters and the aerial base station ground acquired satellite orbit parameters, and calling the difference value as an optimized ephemeris error. And comparing the difference between the optimized ephemeris error and the ephemeris error, and if the difference is greater than 10%, taking the optimized ephemeris error as the standard, and generating a patrol coordinate identifier. The ephemeris error is used as a criterion.
1-2, clock error
The program is executed according to a Beidou satellite deviation formula: Δ t = a 0 +a 1 (t-t oc )+a 2 (t-t oc ) 2
Wherein, a 0 For satellite clock at reference epoch t oc The clock difference of (2); a is 1 Clock speed of the satellite clock; a is a 2 Is the satellite clock Zhong Piao (i.e., the clock rate of change). These parameters are measured by the master control station and sent to the user via the satellite's navigation messages.
The clock error of the satellite is corrected by a polynomial model, an error still inevitably exists, the clock error obtained by using clock error parameter calculation is different from the actual clock error, the precision of the satellite clock error corrected by broadcast ephemeris is S-10 ns, and the difference can be eliminated by calculating the difference of observed quantities among measuring stations in relative positioning.
2. Errors associated with signal propagation
Characterization of ionospheric delay errors
The atmospheric region 60-1000 km from the ground is ionized under the combined action of solar ultraviolet radiation and x-ray photochemical dissociation and impact dissociation of high energy particles in solar wind and silver river cosmic rays to form a region which is electrically neutral as a whole but contains a large number of free electrons and positive and negative ions, called ionosphere.
2-1 ionospheric delay and method for correcting ionospheric delay
The method comprises different Beidou No. two and Beidou No. three correction methods, and the method is mainly based on a Beidou No. three double-frequency receiver correction method:
for a dual-frequency user using BIC and B2a signals, a dual-frequency non-ionosphere combined pseudo-range algorithm is adopted to correct the influence of electrical delay, and the calculation method is as follows.
From literature (big dipper satellite positioning and principle 118 page)
1. For dual-frequency users using BIC pilot component and B2a pilot component
2. For dual frequency users using BIC pilot component and B2a data component
3. For dual frequency users using BIC data component and B2a pilot component
4. For dual frequency users using BIC data component and B2a data component
PR B1Cp PR B2ap The dual-frequency ionosphere-free combined pseudorange is a BIC pilot frequency component and a B2a data component; for a detailed description, please refer to page 119 of the document beidou satellite positioning and principles.
2-2 tropospheric delay and method for correcting the same
The troposphere is the atmosphere extending from the surface to about 50km above. When a satellite navigation signal passes through the satellite navigation signal, the propagation speed and the propagation path of the signal are changed, and the phenomenon is called tropospheric delay. The delay of the troposphere on the navigation message is 1.9-2.5 m in the zenith direction; as the elevation angle continues to decrease, the tropospheric delay will increase to 20-80m.
Troposphere zenith delay model:
wherein D is tro Represents the total delay of the troposphere in any direction;
respectively represent tropospheric daysTop retardation direction wet and dry retardations. MF (E) denotes the overall mapping function, MF dry (E)、MF wet (E) Representing the dry and wet mapping functions, respectively. E denotes the elevation angle of the signal path. Please refer to the document beidou satellite positioning and principles 119.
3. Errors relating to receivers and stations
3-1, antenna phase center error
In the Beidou navigation positioning, both a pseudo-range observation value and a carrier phase observation value are based on the position of a phase center of a receiver antenna, and the phase center of the antenna is consistent with the geometric center of the antenna in theory. However, in practice, the phase center position of the antenna varies with the strength and direction of the signal transmitter, i.e., the instantaneous position of the phase center (generally referred to as apparent phase center) at the time of observation will be different from the theoretical phase center position. The influence of the deviation of the antenna phase center on the relative positioning result can reach several millimeters to several centimeters according to the performance of the antenna. The error caused by the phase center of the antenna is therefore not negligible for precise relative positioning.
Projecting the phase center offset to a direction vector from a receiver to a satellite in a ground-fixed coordinate system to obtain a distance error caused by the phase center offset of a receiver antenna as
Wherein, rs is a position vector of the satellite in the earth-fixed coordinate system.
4. Other errors
4-1, relativistic Effect
For a satellite navigation system, the non-circular orbit value is a fixed value, and thus the problem can be solved by reducing the frequency in the satellite. This allows the effects of relativistic effects to be eliminated.
Please refer to the document beidou satellite positioning and principles 125.
And step three, receiving Beidou side satellite positioning coordinate data by an air base station core satellite of an area which cannot be covered by an IAB ground base station group of the air base station. And otherwise, receiving the satellite positioning coordinate data of the aerial base station side.
And then, combining the constructed [ satellite level scene positioning model ] analysis, obtaining satellite levels and application scenes according to the satellite positioning coordinate data and generating satellite marks, wherein the analysis result is the satellite application scenes of all satellites of the aerial base station, so that important data of commercial satellite services such as the accurate satellite coordinates of the aerial base station, the satellite levels and the application scenes of the satellites are accurately obtained.
Satellite markup format: the Beidou receiver ID # # # satellite level # # # satellite IP # # # precise coordinate # # # applies scene # # # AI expected time delay.
The satellite level scene positioning model has the following formula: 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 x * Is e.g. S, has
With f (x) * ) < f (x), then x * Referred to as the absolute optimal solution of the multi-objective planning problem. If x ∈ S does not exist, so that f (x) < f (x) * ) Then x * The method is called an effective solution to a target planning problem, and the effective solution of the multi-target planning problem is also called a Pareto optimal solution.
Examples are: s = valid data
f = classification
Z = f (S): all classes that conform to the context of an airborne base station application
f (x) = current hierarchy satellite data and approximate data
x = approximate data
The main features and expectations of the non-ground nodes are as shown in table 1 for business services for the application scenario after accurate positioning.
TABLE 1
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (9)
1. An optimization method based on 6G aerial base station combined with Beidou satellite positioning is characterized by comprising the following steps:
step one, an air base station is established, and a delay prediction model is established to perform delay prediction analysis on each application scene of the current NTN node;
step two, dividing the aerial base station into a Beidou side and an aerial base station side to acquire satellite positioning coordinate data;
and thirdly, receiving satellite positioning coordinate data, and combining with analysis of the constructed satellite level scene positioning model to generate a satellite mark containing satellite levels, application scenes and expected time delay information so as to obtain precise coordinates of the aerial base station satellite, satellite levels and application scene data of the satellite.
2. The optimization method based on the combination of the 6G air base station and the Beidou satellite positioning is characterized in that in the first step, firstly, different orbit satellites are integrated, non-ground network nodes are assembled into the 6G air base station, and a Beidou signal receiver is installed on each satellite;
secondly, the Beidou signal receiver receives Beidou RDSS short message data to position different orbit satellites of the air base station, and the positioning coordinate data is transmitted to a 6G air base station core satellite;
and then, aiming at different time delays of different satellite level services, a random forest algorithm is adopted to construct a time delay expected value fitting with the application scene of each level satellite to replace the 6G expected time delay of the NTN node.
3. The optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 1, characterized in that the first step is to input historical time delay data stored in the current NTN node during normal operation of application scenes into a time delay prediction model for operation to obtain the time delay occurrence probability during normal operation of each NTN node service in the next time period, and to perform weighted average on the normal operation time delay probabilities predicted by all satellites of the NTN nodes, so as to complete AI analysis time delay of each application scene of the current NTN node, and replace expected time delay to be used as the expected time delay of each application scene of the current NTN node.
4. The optimization method of claim 1, wherein the non-ground communication infrastructure of the air base station comprises UAV, HAPS, VLEO, and the connection between the non-ground infrastructure and the ground user terminal is via wireless signals, and the log data related to the wireless communication is stored in the air infrastructure.
5. The optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 1, wherein the Beidou side in the second step is used for carrying out Beidou positioning on an area which cannot be covered by the air base station;
the aerial base station side acquires satellite coordinates based on the Beidou side by constructing an accurate positioning program and simulating a Beidou navigation positioning principle and technology, and simultaneously returns ground data of the aerial base station to the IAB base station and transmits the ground data, and the ground satellite coordinate data returned by the aerial base station is analyzed to obtain coordinate positioning based on the aerial base station.
The error of the Beidou navigation positioning coordinate and the error of the aerial base station side are more than 10%, the error is still more than 10% after the Beidou secondary calculation, the final coordinate of the current satellite is comprehensively determined after the Beidou navigation positioning coordinate and the coordinate of the precise positioning program positioning fed back by the ground IAB base station group of the aerial base station are weighted and averaged, and finally the final coordinate and related parameters are transmitted to the core satellite of the aerial base station.
6. The optimization method based on 6G air base station and Beidou satellite positioning is characterized in that the precise positioning program carries out satellite coordinate positioning by combining data of the air base station with reference to Beidou navigation analysis data; massive data analysis and transmission of an aerial base station ground base station group are utilized, a ground base station and a satellite which are closest to the satellite are utilized to send signals to a 5G radio access network RAN through satellite signals, the RAN uses NR (gNB) and LTE (eNB) base stations at the same time to complete signal butt joint with the ground network base stations, and accordingly coordinates, satellite numbers and aerial distance related information are obtained to be analyzed.
7. The optimization method based on 6G air base station combined with Beidou satellite positioning is characterized in that in the third step, the area which cannot be covered by the IAB ground base station group of the air base station is covered, the air base station core satellite receives Beidou side satellite positioning coordinate data, the area which is covered by the IAB ground base station group of the air base station is covered, and the air base station core satellite receives the air base station side satellite positioning coordinate data.
8. The optimization method based on 6G space base station combined with Beidou satellite positioning according to claim 1 is characterized in that in the third step, satellite application scenes of all satellites of the space base station are obtained by combining with analysis of a constructed satellite level scene positioning model, satellite levels and application scenes are obtained according to satellite positioning coordinate data, and satellite marks are generated, so that accurate coordinates of satellites of the space base station, satellite levels and application scene data of the satellites are obtained.
9. The optimization method based on 6G air base station combined with Beidou satellite positioning according to claim 8, wherein the satellite label content comprises: beidou receiver ID, satellite hierarchy, satellite IP, coordinates, application scenario, expected latency.
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| WO2024051470A1 (en) * | 2022-09-06 | 2024-03-14 | 中电信数智科技有限公司 | Optimization method based on combination of 6g aerial base station and beidou satellite positioning |
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