A method and system for information transmission based on 5G mobile terminal positioning

Abstract

This invention discloses an information transmission method and system based on 5G mobile terminal positioning, relating to the field of high-precision positioning technology. The method includes: initiating a slice decision after parsing confidence metadata; transmitting the slice decision with high precision through a 5G service interface and generating a slice scheduling instruction; establishing a 5G dual-connection slice channel by deploying a main data link, setting a backup signaling channel, configuring positioning data rules, and activating a dual-connection slice session according to the slice scheduling instruction; sending geographic location coordinates through the 5G dual-connection slice channel and generating the final geographic location coordinates by combining the confidence metadata; and generating a fused positioning dataset through edge node multipath compensation for satellite data, base station data filtering and calibration, and environmental feature motion compensation to solve the problem of multi-source positioning failure in complex scenarios.

Description

Technical Field

[0001] This invention relates to the field of high-precision positioning technology, and in particular to an information transmission method and system based on 5G mobile terminal positioning. Background Technology

[0002] With the large-scale deployment of 5G, mobile terminal-based positioning technology has become a core support for scenarios such as smart cities, industrial IoT, and emergency rescue. Traditional positioning systems mainly rely on global navigation satellite systems and cellular base stations for positioning assistance. Through multi-source measurement technologies such as round-trip time and angle of arrival, positioning accuracy can reach sub-meter level under ideal conditions. To improve robustness, existing solutions adopt multi-modal fusion positioning, such as combining satellite signals, base station ranging, and environmental wireless fingerprints, and optimizing position calculation through Kalman filtering or particle filtering algorithms.

[0003] The current system lacks a dynamic feedback mechanism for the confidence level of positioning results, leading to a disconnect between transmission resource allocation and positioning accuracy requirements. When satellite signals are blocked, the terminal still needs to transmit low-precision location data through high-priority slices, resulting in wasted URLLC resources. Existing fusion positioning systems have not established a feedback link between positioning performance and transmission quality; when positioning errors increase due to sudden environmental changes, they cannot dynamically adjust the weight allocation strategy of satellite, base station, and environmental features. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides an information transmission method based on 5G mobile terminal positioning to solve the problems of wasted transmission resources caused by positioning accuracy fluctuations and lack of closed-loop optimization of multi-source data.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides an information transmission method based on 5G mobile terminal positioning, comprising,

[0008] Collect satellite data, base station data, and wireless environment characteristics from 5G mobile terminals, encrypt and encapsulate them into standard positioning protocol messages, and generate encrypted multi-source positioning data streams;

[0009] The encrypted multi-source positioning data stream is decrypted and edge nodes are scheduled for fusion analysis. Geographic location coordinates and confidence metadata are generated through dynamic weighted calculation.

[0010] After parsing the confidence metadata, a slice decision is initiated. The slice decision is transmitted with high precision through the 5G service interface, and a slice scheduling instruction is generated.

[0011] According to the slice scheduling instructions, a 5G dual-connection slice channel is established by deploying the main data link, setting up a backup signaling channel, configuring location data rules, and activating the dual-connection slice session.

[0012] Geographic coordinates are sent via 5G dual-connection slice channels, and the final geographic coordinates are generated by combining confidence metadata.

[0013] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning described in this invention, the steps of collecting satellite data, base station data, and wireless environment characteristics of the 5G mobile terminal, encrypting and encapsulating them into a standard positioning protocol message, and generating an encrypted multi-source positioning data stream are as follows.

[0014] Collect satellite data, base station data, and wireless environment characteristics of 5G mobile terminals;

[0015] Satellite data, base station data, and wireless environment characteristics are uniformly encrypted. Advanced encryption standard algorithms are used to generate keys and encapsulate them into standard positioning protocol messages.

[0016] The standard positioning protocol message is segmented into transmission blocks, a checksum is added, and then it is sent to the 5G base station through the physical uplink shared channel and transmitted to the location management function node to generate an encrypted multi-source positioning data stream.

[0017] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning described in this invention, the steps of decrypting the encrypted multi-source positioning data stream and scheduling edge nodes for fusion analysis are as follows:

[0018] The protocol version number and terminal identifier information in the location protocol message header of the encrypted multi-source location data stream are stripped, and the payload content is parsed step by step according to the protocol layer structure to generate a multi-source location plaintext dataset.

[0019] Based on a multi-source localization plaintext dataset, edge computing nodes with idle computing resources and the closest geographical location are selected as processing nodes to generate edge computing task packages.

[0020] Based on the edge computing task package, multipath compensation, filtering calibration and motion compensation are performed on the encrypted multi-source positioning data stream to generate a multi-source fusion positioning dataset.

[0021] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning according to the present invention, the steps for generating geographic location coordinates and confidence metadata through dynamic weighted calculation are as follows:

[0022] Dynamic weighted calculations are performed based on multi-source fusion positioning datasets to generate geographic location coordinates;

[0023] Confidence assessment of geographic location coordinates is performed, and confidence metadata is calculated by combining satellite data integrity, base station data consistency, and wireless environment feature matching degree.

[0024] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning described in this invention, the steps are as follows: after parsing the confidence metadata, a slice decision is initiated; high-precision transmission of the slice decision is performed through the 5G service interface; and a slice scheduling instruction is generated.

[0025] When the confidence metadata exceeds the high-precision transmission threshold, the ultra-reliable low-latency communication slice application mechanism is triggered, generating a preliminary decision instruction;

[0026] Based on the initial decision instructions, the network resource management function is used to query the slice resource status table, select the low-latency slice instance identifier, configure the millimeter-wave band center parameters, and generate network slice configuration parameters.

[0027] Based on the network slice configuration parameters, a slice establishment request is sent to the session management function node through the location service notification interface. After receiving the response, the session management function node generates a slice scheduling instruction.

[0028] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning according to the present invention, the steps for establishing a 5G dual-connectivity slice channel by deploying the main data link, setting up a backup signaling channel, configuring positioning data rules, and activating the dual-connectivity slice session according to the slice scheduling instruction are as follows:

[0029] According to the slice scheduling instructions, deploy the main data link of the low latency protocol data session, bind the millimeter-wave air interface resources, and generate the main link session handle;

[0030] Based on the primary link session handle, a backup signaling channel is set up in the low-frequency band to generate an auxiliary control link configuration set;

[0031] By combining the main link session handle and the auxiliary control link configuration set, configure the location data forwarding rules, allocate differential service code point values ​​and establish a service quality flow mapping relationship, and generate a service quality control scheme.

[0032] By integrating the main link session handle, auxiliary control link configuration set, and quality of service control scheme, the dual-connectivity slice session is activated through the radio resource control reconfiguration command, and a 5G dual-connectivity slice channel is established.

[0033] As a preferred embodiment of the information transmission method based on 5G mobile terminal positioning described in this invention, the steps of sending geographic location coordinates through a 5G dual-connectivity slice channel and generating final geographic location coordinates by combining confidence metadata are as follows:

[0034] 5G mobile terminals add confidence metadata fields to the media access control layer, encapsulate geographic location coordinates at the application layer, generate transport block sequences, and transmit data in the 5G dual-connectivity slice channel.

[0035] Based on the transport block sequence, and by appending timestamps to the confidence metadata and geographic coordinates, location data nodes are generated;

[0036] The error boundary of the elliptical confidence region is obtained from the location data nodes, and the confidence assessment value is converted into a confidence level to generate the final geographic location coordinates containing the error boundary and confidence level.

[0037] Secondly, the present invention provides an information transmission system based on 5G mobile terminal positioning, comprising,

[0038] The data acquisition and encryption module is used to collect satellite data, base station data and wireless environment characteristics of 5G mobile terminals, and encapsulate them into standard positioning protocol messages after encryption to generate encrypted multi-source positioning data streams.

[0039] The location coordinate calculation module is used to decrypt encrypted multi-source positioning data streams and schedule edge nodes for fusion analysis, generating geographic location coordinates and confidence metadata through dynamic weighted calculation;

[0040] The slice scheduling instruction generation module is used to initiate slice decisions after parsing confidence metadata, transmit slice decisions with high precision through 5G service interfaces, and generate slice scheduling instructions.

[0041] The transmission channel establishment module is used to establish a 5G dual-connection slice channel according to the slice scheduling instructions by deploying the main data link, setting up the backup signaling channel, configuring the positioning data rules, and activating the dual-connection slice session;

[0042] The geographic coordinate transmission module is used to send geographic coordinates through the 5G dual-connection slice channel and generate the final geographic coordinates by combining confidence metadata.

[0043] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements any step of the information transmission method based on 5G mobile terminal positioning as described in the first aspect of the present invention.

[0044] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the information transmission method based on 5G mobile terminal positioning as described in the first aspect of the present invention.

[0045] The beneficial effects of this invention are as follows: By generating a fused positioning dataset through multipath compensation of satellite data at edge nodes, filtering and calibration of base station data, and motion compensation of environmental features, the problem of multi-source positioning failure in complex scenarios is solved. A network slice selection mechanism is triggered by a high-precision transmission threshold of confidence level, and the optimal slice resource parameters are queried and configured in real time to generate scheduling instructions, achieving dynamic matching between positioning accuracy and transmission resources, thus solving the problems of high-precision data congestion and loss and low-precision resource waste. Attached Figure Description

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart of an information transmission method based on 5G mobile terminal positioning.

[0048] Figure 2 This is a schematic diagram of an information transmission system based on 5G mobile terminal positioning.

[0049] Figure 3 This is a flowchart for multi-source data fusion.

[0050] Figure 4 A flowchart for establishing a dual-connection channel. Detailed Implementation

[0051] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0052] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0053] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0054] Reference Figures 1-4 This is one embodiment of the present invention, which provides an information transmission method based on 5G mobile terminal positioning, including the following steps:

[0055] S1: Collect satellite data, base station data and wireless environment characteristics of 5G mobile terminals, encrypt and encapsulate them into standard positioning protocol messages, and generate encrypted multi-source positioning data streams;

[0056] Collect satellite data, base station data, and wireless environment characteristics of 5G mobile terminals;

[0057] Furthermore, the 5G mobile terminal receives navigation satellite signals through its built-in multi-mode positioning chip, performs timestamp marking and carrier-to-noise ratio (CNR) calibration, and generates satellite data containing longitude, latitude, altitude, and horizontal accuracy attenuation factors. Based on the timestamp marking of the satellite positioning data set, the 5G mobile terminal initiates round-trip time measurement requests to the serving cell and two adjacent base stations, records the difference between the signal transmission timestamp and the reception timestamp, calculates the relative distance value by combining the geographical coordinates of the base stations, and simultaneously collects reference signal received power and signal quality parameters to generate base station data containing ranging data and signal quality reports from three base stations. The 5G mobile terminal scans the downlink reference signal to capture the channel state information matrix, extracts subcarrier amplitude, phase, and multipath delay features, and simultaneously activates the inertial measurement node to collect three-dimensional motion acceleration and angular velocity vectors. Combined with the Bluetooth beacon received signal strength, it generates wireless environment features containing the channel state information matrix, motion state vectors, and near-field signal strength.

[0058] Satellite data, base station data, and wireless environment characteristics are uniformly encrypted. Advanced encryption standard algorithms are used to generate keys and encapsulate them into standard positioning protocol messages.

[0059] Furthermore, the 5G mobile terminal calls the security encryption engine to perform unified encryption processing on satellite data, base station data, and wireless environment characteristics. It uses an advanced encryption standard algorithm to generate a 256-bit key, arranges the encrypted data stream in the order of satellite data, base station data, and wireless environment characteristics, and encapsulates it into a message structure. The message header contains the protocol version number, terminal identifier, and data fragment index. The message payload stores the encrypted satellite longitude value, latitude value, base station ranging value, and channel state information matrix in sequence, generating a standard positioning protocol encrypted message.

[0060] The standard positioning protocol message is segmented into transmission blocks, a checksum is added, and then it is sent to the 5G base station through the physical uplink shared channel and transmitted to the location management function node to generate an encrypted multi-source positioning data stream.

[0061] Furthermore, the standard positioning protocol encrypted message is divided into a 1500-byte transmission block sequence, and a 32-bit cyclic redundancy check (CRC) code is added to each transmission block. The transmission blocks are then sent to the 5G base station via the physical uplink shared channel using 256 quadrature amplitude modulation. The 5G base station performs CRC verification on the received transmission blocks, reassembles them into a complete standard positioning protocol encrypted message, and forwards it to the location management function node through the user plane function node, generating an encrypted multi-source positioning data stream containing satellite data, base station data, and wireless environment characteristics.

[0062] S2: Decrypt the encrypted multi-source positioning data stream and schedule edge nodes for fusion analysis, generating geographic location coordinates and confidence metadata through dynamic weighted calculation;

[0063] The protocol version number and terminal identifier information in the location protocol message header of the encrypted multi-source location data stream are stripped, and the payload content is parsed step by step according to the protocol layer structure to generate a multi-source location plaintext dataset.

[0064] Specifically, after receiving the encrypted multi-source positioning data stream, the protocol version number field and terminal identifier field of the standard positioning protocol message header are stripped off, and the contents of the transport layer payload, network layer payload and application layer payload are parsed in sequence according to the protocol layer structure; after performing decryption operation on the application layer payload, satellite data, base station data and wireless environment features are separated to generate a multi-source positioning plaintext dataset.

[0065] Based on a multi-source localization plaintext dataset, edge computing nodes with idle computing resources and the closest geographical location are selected as processing nodes to generate edge computing task packages.

[0066] Specifically, based on the latitude and longitude coordinates in the multi-source positioning plaintext dataset, the edge computing node resource status table is queried to select the edge computing node with idle computing resources and the closest physical distance; a task request is sent to the target edge computing node through the 5G service interface to generate a processing task instruction containing satellite data, base station data and wireless environment characteristics. The processing task instruction is supplemented with a service quality level identifier and processing priority parameters to form an edge computing task package.

[0067] Based on the edge computing task package, multipath compensation, filtering calibration and motion compensation are performed on the encrypted multi-source localization data stream to generate a multi-source fusion localization dataset.

[0068] More specifically, after receiving the edge computing task package, the edge computing node decrypts the encrypted multi-source positioning data stream, extracts pseudorange observations from the satellite positioning data set for multipath compensation, performs Kalman filtering calibration on the round-trip time values ​​in the base station ranging information dataset, and performs motion compensation on the channel state information matrix in the wireless environment feature data packet. The compensated satellite longitude, latitude, base station ranging, and channel state information feature vectors are aligned by timestamp to generate a multi-source fused positioning dataset containing fused longitude, fused latitude, fused altitude, and error radius values.

[0069] Dynamic weighted calculations are performed based on multi-source fusion positioning datasets to generate geographic location coordinates;

[0070] More specifically, the edge computing node dynamically allocates satellite data weights, base station data weights, and environmental feature weights based on the integrity of satellite data, consistency of base station data, and matching degree of wireless environment features in the multi-source fusion positioning dataset; it uses the weighted least squares method to calculate the fused longitude, latitude, and altitude values ​​to generate geographic location coordinates that include three-dimensional geographic coordinates and elliptical confidence region parameters.

[0071] The formula for calculating three-dimensional geographic coordinates is:

[0072] ;

[0073] in, This represents the final output three-dimensional geographic location coordinates. Indicates the first Confidence weights for class-based location data sources Indicates the first The raw 3D coordinates provided by the data source class This represents an index variable, indicating the traversal of three types of data sources (satellites, base stations, and environmental features). Represents the comprehensive compensation vector;

[0074] Confidence assessment of geographic location coordinates is performed, and confidence metadata is calculated by combining satellite data integrity, base station data consistency, and wireless environment feature matching degree.

[0075] More specifically, a satellite data integrity score is obtained based on the longitude, latitude, and altitude values ​​in the geographic location coordinates, combined with the number of visible satellites, carrier-to-noise ratio, and horizontal accuracy attenuation factor in the satellite data; a base station data consistency score is obtained based on the inter-base station distance error rate and reference signal received power stability in the base station data; and a wireless environment feature matching score is obtained based on the channel state information matrix similarity and motion state vector offset in the wireless environment features. The three scores are weighted and summed according to the satellite data weight, base station data weight, and environmental feature weight to generate a confidence evaluation value. Finally, confidence metadata containing the confidence score, error radius, and confidence level is output.

[0076] The formula for calculating the confidence level assessment value is:

[0077] ;

[0078] in, This indicates the confidence level assessment value. The weighting of navigation satellite positioning results The weights of the round-trip time ranging results for the base station are indicated. This represents the horizontal accuracy factor, which measures the impact of satellite geometry on horizontal positioning accuracy in real time. A larger value indicates lower accuracy. This indicates the actual distance between the terminal and the base station. This represents the geometric distance calculated based on the geographical coordinates of the base station and the location of the terminal.

[0079] S3: After parsing the confidence metadata, initiate slice decision-making, transmit slice decision-making information with high precision through the 5G service interface, and generate slice scheduling instructions;

[0080] When the confidence metadata exceeds the high-precision transmission threshold, the ultra-reliable low-latency communication slice application mechanism is triggered, generating a preliminary decision instruction;

[0081] Furthermore, when the confidence score in the confidence metadata exceeds the preset high-precision transmission threshold, the location management function node queries the network slice resource status table through the 5G service interface to filter available slice instances that meet the ultra-reliable low-latency communication characteristics; based on the millimeter-wave frequency band parameters and air interface resource margin of the slice instance, it generates a preliminary decision instruction containing slice type identifier, frequency band configuration parameters and transmission priority, and sends the instruction to the session management function node to trigger the subsequent dual-connection channel establishment process.

[0082] It should be noted that the ultra-reliable low-latency communication slice application mechanism queries the network resource status in real time through the 5G service interface. When the confidence assessment value exceeds the preset high-precision transmission threshold, it automatically selects a millimeter-wave frequency band slice instance that meets the latency and reliability requirements, and generates a decision request containing slice identifier, frequency band parameters and resource reservation instructions. The slice instantiation process is triggered through a standardized interface.

[0083] The preset high-precision transmission threshold is a threshold value that is dynamically set by analyzing the confidence distribution characteristics of historical geographical coordinates in typical scenarios and combining them with business needs.

[0084] The network slice resource status table is a dataset that collects parameters such as air interface resource utilization, transmission latency, and node load status of each slice instance in real time through the 5G core network network resource management function. It is stored according to the network slice template and dynamically updated with real-time status data of available slice identifiers, service quality levels, and associated frequency band resources.

[0085] Based on the initial decision instructions, the network resource management function is used to query the slice resource status table, select the low-latency slice instance identifier, configure the millimeter-wave band center parameters, and generate network slice configuration parameters.

[0086] Furthermore, after receiving the initial decision instruction, the network resource management function is invoked through the 5G service interface to query the network slice resource status table, filter slice instance records that meet the low latency characteristics and resource availability standards, and extract the slice instance identifier; based on the frequency band attributes associated with the slice instance, the millimeter wave center frequency parameters are configured, and combined with the transmission priority and air interface resource ratio, network slice configuration parameters including slice instance identifier, millimeter wave frequency band center frequency, subcarrier spacing, service quality level and resource reservation ratio are generated.

[0087] Based on the network slice configuration parameters, a slice establishment request is sent to the session management function node through the location service notification interface. After receiving the response, the session management function node generates a slice scheduling instruction.

[0088] Furthermore, based on the slice instance identifier, millimeter-wave band center frequency, quality of service level, and air interface resource reservation ratio in the network slice configuration parameters, a slice establishment request message is sent to the session management function node through the 5G service interface. The request message includes a slice instance identifier field, a frequency band configuration field, a quality of service flow descriptor field, and a resource reservation field. After receiving the request message, the validity of the slice instance identifier is verified, and a protocol data session creation process is initiated to the user plane function node through the service interface. After the user plane function node returns a session establishment confirmation response, the session management function node generates a slice scheduling instruction that includes the slice instance identifier, protocol data session identifier, quality of service flow identifier, and frequency band activation parameters.

[0089] S4: According to the slice scheduling instruction, a 5G dual-connection slice channel is established by deploying the main data link, setting up a backup signaling channel, configuring location data rules, and activating the dual-connection slice session;

[0090] According to the slice scheduling instructions, deploy the main data link of the low latency protocol data session, bind the millimeter-wave air interface resources, and generate the main link session handle;

[0091] Furthermore, based on the slice scheduling instructions, the protocol data session identifier and service quality flow identifier are parsed, a low-latency protocol data session channel is created in the user plane functional node, the transmission characteristics are configured as low end-to-end latency and high reliability, millimeter-wave frequency band air interface resources are bound, a dedicated data radio bearer is allocated and set to the highest priority; after the user plane functional node completes the resource configuration, it returns the main link session handle containing the protocol data session identifier, service quality flow identifier, millimeter-wave frequency parameters and data radio bearer identifier.

[0092] Based on the primary link session handle, a backup signaling channel is set up in the low-frequency band to generate an auxiliary control link configuration set;

[0093] Furthermore, based on the protocol data session identifier and millimeter-wave frequency band parameters in the main link session handle, the optimal control signaling transmission frequency point is selected in the low-frequency band, the signaling radio bearer is configured and a keep-alive mechanism is set; a state synchronization association is established between the main link session and the auxiliary signaling channel, and an auxiliary control link configuration set containing low-frequency signaling frequency point parameters, signaling radio bearer identifier, keep-alive interval and synchronization trigger threshold is generated.

[0094] By combining the main link session handle and the auxiliary control link configuration set, configure the location data forwarding rules, allocate differential service code point values ​​and establish a service quality flow mapping relationship, and generate a service quality control scheme.

[0095] More specifically, the millimeter-wave band parameters and protocol data session identifiers in the main link session handle are parsed, and combined with the low-frequency signaling frequency points and signaling radio bearer identifiers in the auxiliary control link configuration set, positioning data forwarding rules are defined in the user plane functional node: differential service code point values ​​are assigned to positioning data, a mapping relationship between service quality flow identifiers and positioning application data types is established, the transmission priority is configured to the highest level and the bandwidth guarantee threshold is set, and a service quality control scheme containing differential service code point values, service quality flow mapping rules, priority parameters and bandwidth guarantee thresholds is generated.

[0096] It should be noted that the bandwidth guarantee threshold is the minimum bandwidth value set in the user plane functional node by analyzing the location data transmission rate requirements and network slice resource availability, combined with the service quality level identifier, to ensure that location data can still be transmitted stably in congested scenarios.

[0097] By integrating the main link session handle, auxiliary control link configuration set, and quality of service control scheme, the dual-connectivity slice session is activated through the radio resource control reconfiguration command, and a 5G dual-connectivity slice channel is established.

[0098] More specifically, the system integrates millimeter-wave band parameters and protocol data session identifiers in the main link session handle, low-frequency signaling frequency points and signaling radio bearer identifiers in the auxiliary control link configuration set, and differential service code point values ​​and quality of service flow mapping rules in the quality of service control scheme to generate a dual-connectivity operation parameter set containing main link resource configuration, auxiliary link configuration, and quality of service policies. Configuration instructions are then sent to the 5G mobile terminal via radio resource control layer messages. The terminal establishes a main data link in the millimeter-wave band and an auxiliary signaling link in the low-frequency band. After returning a response, the session management function node confirms the completion of dual-connectivity slice session activation and outputs a dual-connectivity slice channel descriptor containing the main link band identifier, auxiliary link frequency point, and quality of service flow binding relationship.

[0099] S5: Sends geographic location coordinates through 5G dual-connection slice channels, and generates the final geographic location coordinates by combining confidence metadata.

[0100] 5G mobile terminals add confidence metadata fields to the media access control layer, encapsulate geographic location coordinates at the application layer, generate transport block sequences, and transmit data in the 5G dual-connectivity slice channel.

[0101] Furthermore, based on the primary link frequency band identifier and service quality flow identifier in the dual-connectivity slice channel descriptor, the 5G mobile terminal adds a confidence metadata field to the header of the media access control layer protocol data node, encapsulates the geographic location coordinates and timestamp at the application layer, and generates a data packet conforming to the 3G Partner Program positioning protocol format. The data packet is divided into a sequence of transport blocks with a length of 1500 bytes, and a 32-bit cyclic redundancy check code is added to each transport block. The data payload is sent through the primary link of the 5G dual-connectivity slice channel, and the control signaling is transmitted through the secondary link. After the user plane function node receives and reassembles the transport blocks, it outputs the positioning data node with confidence annotation to the application server.

[0102] Based on the transport block sequence, and by appending timestamps to the confidence metadata and geographic coordinates, location data nodes are generated;

[0103] Furthermore, based on the fragmented data in the transport block sequence, the 5G mobile terminal reassembles the complete protocol data node, extracts the confidence metadata field from the media access control layer header, parses the geographic location coordinates from the application layer payload, and adds high-precision timestamps to the confidence metadata and geographic location coordinates respectively. The timestamp-marked confidence metadata and geographic location coordinates are encapsulated according to the 3G Partner Program positioning protocol format to generate a positioning data node containing a time synchronization identifier, confidence score, error radius, latitude and longitude coordinates and timestamp, and then transmitted to the application server after verification by the user plane function node.

[0104] The error boundary of the elliptical confidence region is obtained from the location data nodes, and the confidence assessment value is converted into a confidence level to generate the final geographic location coordinates containing the error boundary and confidence level.

[0105] More specifically, based on the confidence score and error radius of the confidence metadata, the semi-major axis and semi-minor axis are obtained through the elliptical confidence region calculation algorithm to determine the error boundaries in the longitude and latitude directions; the confidence score is converted into a confidence level identifier, and the final output includes the final geographic location coordinates containing the longitude value, latitude value, altitude value and confidence level.

[0106] This embodiment also provides an information transmission system based on 5G mobile terminal positioning, including:

[0107] The data acquisition and encryption module is used to collect satellite data, base station data and wireless environment characteristics of 5G mobile terminals, and encapsulate them into standard positioning protocol messages after encryption to generate encrypted multi-source positioning data streams.

[0108] The location coordinate calculation module is used to decrypt encrypted multi-source positioning data streams and schedule edge nodes for fusion analysis, generating geographic location coordinates and confidence metadata through dynamic weighted calculation;

[0109] The slice scheduling instruction generation module is used to initiate slice decisions after parsing confidence metadata, transmit slice decisions with high precision through 5G service interfaces, and generate slice scheduling instructions.

[0110] The transmission channel establishment module is used to establish a 5G dual-connection slice channel according to the slice scheduling instructions by deploying the main data link, setting up the backup signaling channel, configuring the positioning data rules, and activating the dual-connection slice session;

[0111] The geographic coordinate transmission module is used to send geographic coordinates through the 5G dual-connection slice channel and generate the final geographic coordinates by combining confidence metadata.

[0112] This embodiment also provides a computer device applicable to the information transmission method based on 5G mobile terminal positioning, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the information transmission method based on 5G mobile terminal positioning as proposed in the above embodiment.

[0113] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0114] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements the information transmission method based on 5G mobile terminal positioning as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0115] In summary, this invention addresses the problem of multi-source positioning failure in complex scenarios by generating a fused positioning dataset through edge node multipath compensation for satellite data, base station data filtering and calibration, and environmental feature motion compensation. Furthermore, by triggering a network slice selection mechanism based on a confidence threshold, and by querying and configuring optimal slice resource parameters in real time to generate scheduling instructions, it achieves dynamic matching between positioning accuracy and transmission resources, thus resolving the issues of high-precision data congestion and loss and low-precision resource waste.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for transmitting information based on 5G mobile terminal positioning, characterized in that: comprising, Satellite data, base station data and wireless environment features of the 5G mobile terminal are collected, encrypted and packaged into standard positioning protocol messages to generate encrypted multi-source positioning data stream; The encrypted multi-source positioning data stream is decrypted and the edge node is dispatched for fusion analysis, and geographic location coordinates and confidence metadata are generated through dynamic weighted calculation; After analyzing the confidence metadata, slice decision is initiated, high-precision transmission of slice decision is performed through 5G service interface, and slice scheduling instruction is generated; According to the slice scheduling instruction, a 5G dual-connection slice channel is established by deploying a main data link, setting a standby signaling channel, configuring positioning data rules and activating a dual-connection slice session; The geographic location coordinates are sent through the 5G dual-connection slice channel, and the final geographic location coordinates are generated combined with the confidence metadata. 2.The method of claim 1, wherein: The satellite data, base station data and wireless environment features of the 5G mobile terminal are collected, encrypted and packaged into standard positioning protocol messages to generate encrypted multi-source positioning data stream, and the steps are as follows, Satellite data, base station data and wireless environment features of the 5G mobile terminal are collected; The satellite data, base station data and wireless environment features are uniformly encrypted, the high-level encryption standard algorithm is used to generate the key, and the standard positioning protocol message is packaged; The standard positioning protocol message is divided into transmission blocks, a check code is added, and then it is sent to the 5G base station through the physical uplink shared channel, and then transmitted to the location management function node to generate the encrypted multi-source positioning data stream. 3.The method of claim 2, wherein: The encrypted multi-source positioning data stream is decrypted and the edge node is dispatched for fusion analysis, and the steps are as follows, The protocol version number and terminal identifier information in the positioning protocol message header of the encrypted multi-source positioning data stream are stripped, and the payload content is gradually analyzed according to the protocol hierarchical structure to generate a multi-source positioning plaintext data set; Based on the multi-source positioning plaintext data set, select the edge computing node with idle computing resources and the nearest geographic location as the processing node to generate the edge computing task package; According to the edge computing task package, the encrypted multi-source positioning data stream is compensated, filtered and calibrated, and a multi-source fusion positioning data set is generated. 4.The method of claim 3, wherein: The geographic location coordinates and confidence metadata are generated through dynamic weighted calculation, and the steps are as follows, Based on the multi-source fusion positioning data set, dynamic weighted calculation is performed to generate geographic location coordinates; The confidence of the geographic location coordinates is evaluated, and the confidence metadata is calculated based on the satellite data integrity, base station data consistency and wireless environment feature matching degree. 5.The method of claim 4, wherein: After analyzing the confidence metadata, slice decision is initiated, high-precision transmission of slice decision is performed through 5G service interface, and slice scheduling instruction is generated, and the steps are as follows, When the confidence metadata exceeds the high-precision transmission threshold, the ultra-high reliability and low latency communication slice application mechanism is triggered to generate a preliminary decision instruction; According to the preliminary decision instruction, the slice resource state table is queried through the network resource management function, the low latency slice instance identifier is selected, the millimeter wave frequency band center parameter is configured, and the network slice configuration parameter is generated; Based on the network slice configuration parameters, a slice establishment request is sent to the session management function node through the location service notification interface, and the session management function node generates a slice scheduling instruction after receiving the response. 6.The method of claim 5, wherein: According to the slice scheduling instruction, the main data link is deployed, the standby signaling channel is set, the positioning data rule is configured, and the dual-connection slice session is activated to establish the 5G dual-connection slice channel. According to the slice scheduling instruction, the main data link of the low-latency protocol data session is deployed, and the millimeter wave air interface resource is bound to generate the main link session handle. Based on the main link session handle, a standby signaling channel is set in the low-frequency frequency band to generate an auxiliary control link configuration set. Combined with the main link session handle and the auxiliary control link configuration set, the positioning data forwarding rule is configured, the differentiated service code point value is allocated, and the quality of service flow mapping relationship is established to generate the quality of service control scheme. Integrate the main link session handle, the auxiliary control link configuration set and the quality of service control scheme, activate the dual-connection slice session through the radio resource control reconfiguration instruction, and establish the 5G dual-connection slice channel. 7.The method of claim 6, wherein: The geographic position coordinates are sent through the 5G dual-connection slice channel, and the final geographic position coordinates are generated by combining the confidence metadata, and the steps are as follows, 5G mobile terminal adds confidence metadata field in media access control layer, encapsulates geographic position coordinates in application layer, generates transport block sequence, and performs data transmission in 5G dual-connection slice channel; Based on the transport block sequence, the confidence metadata and the geographic position coordinates are respectively attached with time stamps to generate the positioning data node; From the positioning data node, the error boundary of the elliptical confidence area boundary is obtained, and the confidence evaluation value is converted into a confidence level to generate the final geographic position coordinates containing the error boundary and the confidence level.

8. A 5G mobile terminal positioning-based information transmission system based on the 5G mobile terminal positioning-based information transmission method of any one of claims 1 to 7. It includes, Data acquisition encryption module, used for collecting satellite data, base station data and wireless environment features of 5G mobile terminal, and encrypting and encapsulating into standard positioning protocol message to generate encrypted multi-source positioning data stream; Position coordinate calculation module, used for decrypting the encrypted multi-source positioning data stream and scheduling edge nodes for fusion analysis to generate geographic position coordinates and confidence metadata through dynamic weighted calculation; Slice scheduling instruction generation module, used for analyzing the confidence metadata to initiate slice decision, performing high-precision transmission of slice decision through 5G service interface, and generating slice scheduling instruction; Transmission channel establishment module, used for deploying main data link, setting standby signaling channel, configuring positioning data rule and activating dual-connection slice session according to slice scheduling instruction to establish 5G dual-connection slice channel; Geographic coordinate transmission module, used for sending geographic position coordinates through 5G dual-connection slice channel, and generating final geographic position coordinates by combining confidence metadata. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor executes the computer program to realize the steps of the information transmission method based on 5G mobile terminal positioning of any one of claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the information transmission method based on 5G mobile terminal positioning of any one of claims 1-7.

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