Path data processing method, device, and storage medium

Abstract

Embodiments of the present invention provide a path data processing method, a device, and a storage medium. The path data processing method comprises: acquiring path data of m transmission paths for a reference signal, wherein the path data comprises delay data and first power data, the delay data indicates an arrival delay of the reference signal transmitted from a sending end to a receiving end, and the first power data indicates a measurement power of the reference signal; and sending first information to a second node, wherein the first information comprises the delay data of the m transmission paths, and the delay data of the m transmission paths is sorted in the first information according to the size of the first power data of the m transmission paths. In this way, the first information carries delay data of m pieces of path data but does not carry the first power data of the m transmission paths, thereby effectively reducing data reporting overhead. Moreover, the delay data of the m transmission paths is sorted in the first information according to the size of the first power data of the m transmission paths, such that the receiving end can restore the sorting of the first power data corresponding to the m transmission paths, thereby implementing accurate positioning.

Description

Path data processing method, device and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a path data processing method, device, and storage medium. Background Art

[0002] High-precision positioning based on artificial intelligence (AI) models is an important application of AI technology in the field of communications and is also a key component of the Third Generation Partnership Project (3GPP). rd One of the important research directions of 3GPP standardization.

[0003] Summary of the Invention

[0004] Embodiments of the present disclosure provide a path data processing method, device, and storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a path data processing method is provided, which is executed by a first node. The method may include: obtaining path data of m transmission paths of a reference signal; the path data includes delay data and first power data; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer; first information is sent to a second node; the first information includes the delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

[0006] According to a second aspect of an embodiment of the present disclosure, a path data processing method is provided, which is executed by a second node and may include: receiving first information sent by a first node; the first information includes delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; and m is a positive integer.

[0007] According to a third aspect of an embodiment of the present disclosure, a first node is provided, comprising: a receiving module configured to obtain path data of m transmission paths of a reference signal; the path data comprising delay data and first power data; the delay data indicating the arrival delay of the reference signal from a transmitting end to a receiving end; the first power data indicating the measured power of the reference signal; m being a positive integer; a sending module configured to send first information to a second node; the first information comprising the delay data of the m transmission paths; the delay data of the m transmission paths being sorted in the first information according to the size of the first power data of the m transmission paths.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a second node is provided, wherein the second node includes:

[0009] A receiving module is configured to receive first information sent by a first node; the first information includes delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; and m is a positive integer.

[0010] According to a fifth aspect of an embodiment of the present disclosure, a communication device is provided, wherein the communication device includes: one or more processors; wherein the processor is used to call instructions so that the communication device executes the path data processing method provided by any technical method of the aforementioned first to second aspects.

[0011] According to a sixth aspect of an embodiment of the present disclosure, a storage medium is provided, wherein the storage medium stores instructions, which, when the instructions are executed on a communication device, enable the communication device to execute the path data processing method provided by any of the first to second aspects.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a communication system is provided, wherein the communication system includes:

[0013] A first node, configured to execute the path data processing method provided by any technical solution of the first aspect;

[0014] The second node is used to execute the path data processing method provided by any technical solution of the second aspect.

[0015] According to an eighth aspect of an embodiment of the present disclosure, a computer program product is provided, which includes a computer program or instructions, and when the computer program or instructions are executed by a processor, the steps of the method described in any one of the first aspect and / or the second aspect are implemented.

[0016] According to the technical approach provided by the embodiments of the present disclosure, when a first node sends path data to a second node, the first information carries the delay data of the m path data but does not carry the first power data of the m transmission paths, thereby effectively reducing the data reporting overhead; on this basis, in order to ensure positioning accuracy, the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths, so that the receiving end can restore the sorting of the first power data corresponding to the m transmission paths, thereby achieving accurate positioning.

[0017] It should be understood that the foregoing general description and the following detailed description are merely exemplary and explanatory and are not restrictive of the embodiments of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the embodiments of the present disclosure.

[0019] FIG1A is a schematic diagram showing an architecture of a communication system according to an exemplary embodiment;

[0020] FIG1B is a schematic flow chart showing a positioning method based on an AI model according to an exemplary embodiment;

[0021] FIG1C is a schematic flow chart showing another positioning method based on an AI model according to an exemplary embodiment;

[0022] FIG1D is a schematic diagram illustrating an application mode of positioning technology based on an AI model according to an exemplary embodiment;

[0023] FIG2 is a schematic flow chart showing a method for processing path data according to an exemplary embodiment;

[0024] FIG3 is a schematic flow chart showing a method for processing path data according to an exemplary embodiment;

[0025] FIG4 is a schematic flow chart showing a method for processing path data according to an exemplary embodiment;

[0026] FIG5 is a schematic flow chart showing a method for processing path data according to an exemplary embodiment;

[0027] FIG6A is a schematic structural diagram of a first node according to an exemplary embodiment;

[0028] FIG6B is a schematic structural diagram of a second node according to an exemplary embodiment;

[0029] FIG7A is a schematic structural diagram of a communication device according to an exemplary embodiment;

[0030] FIG7B is a schematic structural diagram of a chip according to an exemplary embodiment. DETAILED DESCRIPTION

[0031] Embodiments of the present disclosure provide a path data processing method, a communication device, a communication system, and a storage medium.

[0032] In a first aspect, an embodiment of the present disclosure provides a positioning method, wherein the method is executed by a first node, and the method includes: obtaining path data of m transmission paths of a reference signal; the path data includes delay data and first power data; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer; sending first information to a second node; the first information includes delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

[0033] In the above embodiment, the first node obtains n path data for positioning in the time domain sampling point dimension (i.e., the time dimension), and when reporting the path data, the first node sends a first message to the second node, where the first message carries the delay data of m transmission paths but does not carry the first power data of the m transmission paths, thereby effectively reducing the data reporting overhead; on this basis, in order to ensure positioning accuracy, the delay data of the m transmission paths are sorted in the first message according to the size of the first power data of the m transmission paths, so that the receiving end can restore the sorting of the first power data corresponding to the delay data of the m transmission paths, thereby achieving positioning.

[0034] In combination with some embodiments of the first aspect, in some embodiments, obtaining path data of m transmission paths of a reference signal includes: obtaining path data of S transmission paths of the reference signal; S is greater than or equal to m; and selecting path data of m transmission paths that meet the first condition based on the path data of the S transmission paths.

[0035] In the above embodiment, the first node selects m transmission paths that meet the first condition from the path data obtained by measuring S transmission paths, and reports data based on the m transmission paths. At least when m is less than or equal to S, the amount of path data that the first node needs to report can be reduced, thereby lowering data reporting overhead.

[0036] In combination with some embodiments of the first aspect, in some embodiments, the m transmission paths that meet the first condition include at least one of the following: m transmission paths with the largest first power data; m transmission paths with the smallest delay data.

[0037] In the above embodiment, the first node selects m transmission paths with the largest first power data or m transmission paths with the smallest delay. Compared with the transmission paths with smaller first power data and / or the transmission paths with larger transmission delay, the data of the transmission paths that meet the first condition are more conducive to reflecting the distance between the two nodes of the ranging. Therefore, the delay data of the transmission paths that meet the first condition can achieve accurate positioning and reduce the amount of data transmitted between the first node and the second node.

[0038] In combination with some embodiments of the first aspect, in some embodiments, the first information includes m bit vectors; one bit vector is used to carry delay data of a transmission path.

[0039] In the above embodiment, using a binary bit vector to carry the delay data in the path data of the time-domain sampling points helps reduce data reporting overhead. Furthermore, using m bit vectors within the first information to respectively indicate the delay data in the path data of the m time-domain sampling points enables reporting of the delay data for the m time-domain sampling points. For example, in some embodiments, a bit vector carries multiple elements, and these multiple elements may indicate delay data for a transmission path, specifically indicating different delay data for a transmission path, such as the average delay, minimum delay, and / or maximum delay of a transmission path.

[0040] In combination with some embodiments of the first aspect, in some embodiments, the i-th bit vector in the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the sorting result of the first power data of the m transmission paths from large to small; the second sorting result is the sorting result of the first power data of the m transmission paths from small to large.

[0041] In the above embodiment, according to the size sorting of the first power data corresponding to the delay data indicated by the m bit vectors indicated by the sorting indications of the m bit vectors, the second node can restore the sorting of the first power data corresponding to the delay data of the m transmission paths according to the sorting of the m bit vectors in the received first information, and set the second power data of the delay data corresponding to the m bit vectors based on this, thereby achieving positioning.

[0042] In combination with some embodiments of the first aspect, in some embodiments, the delay data includes numbers of time-domain sampling points.

[0043] In the above embodiment, setting the delay data as the time domain sampling point number (i.e., the number of the time domain sampling point) is beneficial to reducing the data reporting overhead relative to reporting the precise measurement moment or measurement time unit. On the other hand, it is also beneficial for the second node to determine the time domain sampling point positions of the m received transmission paths according to the number of the time domain sampling point.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, second information sent by the second node is received; the second information is used by the first node to determine a reporting type of the path data; and the reporting type includes at least one of the following:

[0045] The first type, when the first type is adopted, the delay data in the path data is sent to the second node;

[0046] The second type: when the second type is adopted, both the delay data and the first power data in the path data are sent to the second node.

[0047] In the above embodiment, considering that the positioning model configured at the second node is different, the parameter types of the input parameters required by the positioning model are different, the reporting type of the path data can be indicated by the second information, so that the path data reported by the first node can be correctly recovered by the second node and input into the positioning model to achieve positioning.

[0048] A second aspect provides a path data processing method, which is performed by a second node, and includes:

[0049] Receive first information sent by a first node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer.

[0050] In combination with some embodiments of the second aspect, in some embodiments, the first information includes m bit vectors; one bit vector is used to carry delay data of a transmission path.

[0051] In combination with some embodiments of the first aspect, in some embodiments, the i-th bit vector in the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the sorting result of the first power data of the m transmission paths from large to small; the second sorting result is the sorting result of the first power data of the m transmission paths from small to large.

[0052] In combination with some embodiments of the first aspect, in some embodiments, the delay data includes a time domain sampling number.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0054] According to the order of the delay data of the m transmission paths in the first information, the second power data of the m transmission paths are set; wherein the size order of the second power data of the m transmission paths is the same as the size order of the first power data of the m transmission paths.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0056] Sending instruction information to the first node; the instruction information is used by the first node to determine the reporting type of the path data; the reporting type includes at least one of the following:

[0057] The first type, when the first type is adopted, the delay data of the path data is sent to the second node;

[0058] The second type: when the second type is adopted, both the delay data and the first power data in the path data are sent to the second node.

[0059] A third aspect provides a first node, wherein the first node includes:

[0060] a processing module configured to obtain path data of m transmission paths of a reference signal; the path data including delay data and first power data; the delay data indicating an arrival delay of the reference signal from a transmitting end to a receiving end; the first power data indicating a measured power of the reference signal; and m being a positive integer;

[0061] The sending module is configured to send first information to the second node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

[0062] A fourth aspect provides a second node, wherein the second node includes:

[0063] A receiving module is configured to receive first information sent by a first node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; and m is a positive integer.

[0064] In a fifth aspect, an embodiment of the present disclosure provides a communication device, the communication device including: one or more processors;

[0065] The processor is used to call instructions to enable the communication device to execute the path data processing method described in the optional implementation of the first aspect to the second aspect.

[0066] In a sixth aspect, an embodiment of the present disclosure provides a storage medium, wherein the storage medium stores instructions, which, when the instructions are executed on a communication device, enable the communication device to execute the path data processing method described in the optional implementation methods of the first aspect to the second aspect.

[0067] In a seventh aspect, an embodiment of the present disclosure provides a program product. When the program product is executed by a communication device, the communication device executes the path data processing method described in the optional implementation of the first to fifth aspects.

[0068] In an eighth aspect, an embodiment of the present disclosure provides a computer program, which, when executed on a computer, enables the computer to execute the path data processing method described in the optional implementation of the first to fifth aspects.

[0069] It is understandable that the above-mentioned terminals, network devices, communication systems, program products, and computer programs are all used to execute the methods provided by the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0070] The embodiments of the present disclosure propose a path data processing method, communication equipment, communication system and storage medium. The embodiments of the present disclosure are not exhaustive, but are only illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, the method after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all of the steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0071] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0072] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0073] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "the", "the", etc., can mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article can be understood as a singular expression or a plural expression.

[0074] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0075] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0076] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "in one case A, in another case B," or "in one case A, in another case B" may include the following technical descriptions depending on the circumstances: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The same applies when there are more branches, such as A, B, and C.

[0077] In some embodiments, "A or B" and other descriptions may include the following technical approaches, depending on the circumstances: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, and C.

[0078] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different. For another example, if the description object is "information", then the "first category of information" and the "second category of information" can be the same information or different information, and their contents can be the same or different.

[0079] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0080] In some embodiments, terms such as "...", "determine...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0081] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0082] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0083] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0084] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0085] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0086] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0087] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0088] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0089] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0090] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0091] FIG1A is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0092] As shown in Figure 1A, a communication system 100 includes a terminal 101 and a network device 102. The network device 102 may include an access network device and / or a core network device.

[0093] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0094] In some embodiments, the terminal is also referred to as User Equipment (UE).

[0095] In some embodiments, the access network device may be, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0096] In some embodiments, the technical approach of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure may become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

[0097] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0098] In some embodiments, the core network device may be a single device including a first network element, or may be a plurality of devices or a group of devices, each including a first network element. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0099] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical approach of the embodiment of the present disclosure, and does not constitute a limitation on the technical approach provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical approach provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0100] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0101] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems using configuration methods for other resources, and next-generation systems based on and extending these systems. Furthermore, multiple systems may be combined (for example, LTE and NR).

[0102] FIG1A is a schematic diagram showing the architecture of a communication system according to an exemplary embodiment.

[0103] As shown in FIG. 1A , a communication system 100 includes a first node 101 and a second node 102 .

[0104] In some embodiments, the first node 101 may include: a terminal 1011 or an access network device 1012 .

[0105] In some embodiments, the terminal 1011 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0106] In some embodiments, the access network device 1012 can be, for example, a node or device that accesses the terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0107] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0108] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0109] In some embodiments, the second node 102 may be a core network device 1021 .

[0110] In some embodiments, the core network device 1021 may be a single device, including the first network element 1021a, or may be multiple devices or a group of devices, each including the first network element 1021a. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0111] In some embodiments, the first network element 1021a is, for example, a location management function (LMF).

[0112] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0113] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0114] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future Generation Radio Access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0115] In recent years, high-precision positioning technology has become a hot research topic to meet the demand for location-based services in various commercial service scenarios and industrial IoT scenarios. It facilitates services such as indoor navigation, augmented and virtual reality, and autonomous driving. Implementing high-precision positioning services based on existing wireless communication network infrastructure is a key area of ​​mobile communication technology research and a key component of wireless communication standardization research throughout history.

[0116] In some embodiments, high-precision positioning is achieved in indoor and outdoor scenarios by introducing multiple positioning methods such as time measurement and angle measurement. With the increasing demand for related business services, 3GPP has launched a project to enhance positioning accuracy for commercial scenarios and Industrial Internet of Things (IIOT) scenarios, with the goal of achieving high-precision positioning at the decimeter level, and is committed to meeting the high-precision location service needs of the consumer and enterprise markets. However, some classic positioning algorithms, such as TDOA and Multi-RTT algorithms specified in the 3GPP standard, are difficult to meet the very strict positioning accuracy requirements in scenarios such as IIOT, which in turn affects related business services.

[0117] With the continuous development of artificial intelligence technology in recent years, AI-based solutions have been widely used in the field of wireless communications. Deep neural network models are capable of effectively performing complex data processing and feature modeling processes and are now being applied to solve many key problems in wireless communications. AI-based target positioning is a key application case of artificial intelligence technology in the communications field and a major research direction for 3GPP standardization. Existing technical solutions can use deep neural network models to model the mapping relationship between channel measurement data and target location coordinates, achieving higher positioning accuracy than traditional positioning methods.

[0118] In some embodiments, the research on high-precision positioning technology based on AI mainly considers two specific implementation methods, including direct positioning based on an AI model and indirect positioning assisted by an AI model. As shown in Figures 1B and 1C. Figure 1B is a flow chart of a positioning method based on an AI model according to an exemplary embodiment; Figure 1C is a flow chart of another positioning method based on an AI model according to an exemplary embodiment.

[0119] Exemplarily, direct positioning based on the AI ​​model, that is, the input of the AI ​​model is the channel measurement data used for positioning, and the output is the positioning result, that is, the terminal location coordinates.

[0120] Indirect positioning based on an AI model: The AI ​​model takes as input the channel measurement data used for positioning and outputs intermediate positioning parameters, which can include parameters such as time of arrival (ToA) and azimuth angles of arrival (AoA). Based on these intermediate positioning parameters, the terminal's position coordinates, or positioning results, can be calculated using traditional positioning methods.

[0121] In the direct positioning and indirect positioning methods based on the AI ​​model, the input of the AI ​​model is the channel measurement data used for positioning, which can usually be the channel impulse response (CIR) calculated based on the positioning reference signal. Specifically, the terminal can calculate the downlink CIR based on the positioning reference signal (PRS) sent by the access network device. The access network device can also calculate the uplink CIR based on the sounding reference signal (SRS-Pos) sent by the terminal for positioning.

[0122] In some embodiments, depending on the specific device used to implement positioning, the high-precision positioning technology based on the AI ​​model can be divided into five modes, as shown in Figure 1D. Figure 1D is a schematic diagram of the application mode of positioning technology based on the AI ​​model according to an exemplary embodiment.

[0123] Mode 1: Direct or indirect positioning on the terminal side. The terminal calculates channel measurement data used for positioning, such as CIR, based on the PRS sent by the access network device. This data is then input into an AI model to directly obtain the terminal's location coordinates. Alternatively, the UE inputs the channel measurement data used for positioning into an AI model to obtain intermediate positioning parameters such as ToA or AoA. Traditional positioning methods are then used to obtain the terminal's location coordinates. After obtaining the positioning results (i.e., location coordinates), the terminal reports them to the LMF.

[0124] Mode 2: Terminal-assisted indirect positioning on the LMF side. The terminal calculates channel measurement data used for positioning, such as CIR, based on the PRS sent by the access network device. This channel measurement data is then fed into the AI ​​model to obtain intermediate positioning parameters, such as ToA or AoA. These intermediate positioning parameters are then reported to the LMF, which then uses traditional positioning methods to obtain the terminal's location coordinates.

[0125] Mode 3: Terminal-assisted direct positioning on the LMF side. The terminal calculates channel measurement data used for positioning, such as CIR, based on the PRS sent by the access network device and reports the channel measurement data used for positioning to the LMF. The LMF inputs the received channel measurement data into the AI ​​model to obtain the terminal's location coordinates.

[0126] Mode 4: Indirect positioning on the LMF side assisted by access network equipment. The access network equipment calculates channel measurement data for positioning, such as CIR, based on the SRS-Pos sent by the UE. The channel measurement data is input into the AI ​​model to obtain intermediate positioning parameters, such as ToA or AoA. These intermediate positioning parameters are then reported to the LMF, which then uses traditional positioning methods to obtain the terminal's location coordinates.

[0127] Mode 5: Direct positioning on the LMF side assisted by access network equipment. The access network equipment calculates channel measurement data for positioning, such as CIR, based on the SRS-Pos sent by the UE and reports the channel measurement data used for positioning to the LMF. The LMF inputs the received channel measurement data into the AI ​​model to obtain the terminal location coordinates.

[0128] In the five modes described above, data acquisition and model inference may be implemented on different devices. For modes 1, 2, and 4, the channel measurement data required for the AI ​​model input is obtained by the terminal or access network device based on positioning reference signal measurements. The AI ​​model is also deployed on the terminal or access network device. Therefore, the terminal or access network device can directly input its acquired channel measurement data into the AI ​​model to obtain positioning results, without involving the reporting and transmission of the channel measurement data used for positioning.

[0129] For Mode 3 and Mode 5, the channel measurement data used for AI positioning must first be calculated and obtained by the terminal or access network equipment based on the positioning reference signal, then reported to the LMF, input into the AI ​​positioning model and obtain the positioning result, namely the terminal position coordinates.

[0130] FIG2 is an interactive diagram of a positioning method according to an exemplary embodiment. As shown in FIG2 , the embodiment of the present disclosure relates to an information indication method, which is used in a communication system 100 and includes:

[0131] S2101: The second node sends indication information to the first node.

[0132] The indication information is used by the first node to determine the reporting type of the path data.

[0133] It is worth noting that the second node may be any node that determines the positioning result, or the second node may be a node that forwards data to the node that determines the positioning result.

[0134] In some embodiments, the second node may be a core network node and / or an access network node or a UE. The core network node may include but is not limited to a location management function (LMF) and / or a gateway mobile location center (GMLC).

[0135] In some embodiments, the indication information is used to indicate the type of data reporting.

[0136] In some embodiments, the data reporting type may indicate at least one of the following:

[0137] The first type, when the first type is adopted, the delay data of the path data is sent to the second node;

[0138] The second type: when the second type is adopted, both the delay data and the first power data in the path data are sent to the second node.

[0139] In some embodiments, the AI ​​model corresponding to the first type may be a first model. The AI ​​model corresponding to the second type may be a second model. The first model may be an AI model that processes latency data and second power data set by the second node. The second model may be an AI model that processes latency data and first power data. The power data used in the training of the first and second models is derived from different sources.

[0140] In some embodiments, the second node sends an indication to the first node based on the model type it supports. For example, if the second node supports an AI model corresponding to a first type, it sends an indication indicating the first type to the first node; otherwise, it sends an indication indicating the second type to the first node.

[0141] In some embodiments, the second node sends an indication message to the first node based on its own bandwidth and load. For example, if the second node's current remaining bandwidth is large enough and / or the amount of compliance is small, the second type may be indicated through the indication message; otherwise, the first type may be indicated through the indication message.

[0142] In some embodiments, the second node sends indication information to the first node according to the positioning requirements of the positioning result (eg, positioning accuracy and / or positioning demand).

[0143] In some embodiments, the indication information may also include but is not limited to at least one of the following: S, m, a delay threshold, a power threshold, or an AI model type supported by the first node.

[0144] In some embodiments, step S2102 is optional. For example, in some cases, the first node may use the first or second type of path data to send to the first node based on local policy. In other embodiments, if the second node wishes to use the first type of path data exchange with the first node, it may send an indication message. If the second node does not send an indication message, it indicates that the second node wishes to use the second type of path data exchange with the first node. In this way, the first node may determine whether to use the first or second type of path data transmission based on whether it receives an indication message from the second node. Therefore, step S2102 is optional.

[0145] S2102: The first node obtains path data of m transmission paths of a reference signal.

[0146] In some embodiments, the path data of the m transmission paths may be measurement data obtained by the first node and / or the fourth node measuring a reference signal sent by the third node.

[0147] In some embodiments, the third node sends a reference signal to the first node or the fourth node.

[0148] In some embodiments, the third node sends a positioning reference signal to the first node. Exemplarily, the positioning reference signal is mainly used for UE positioning.

[0149] In some embodiments, the first node or the fourth node may be a channel data measurement node, and the third node may be a reference signal sending node.

[0150] In some embodiments, the first node or the fourth node may be a terminal or an access network device; the third node may be an access network device or a UE.

[0151] It should be noted that the node measuring the reference signal may be another UE or another base station other than the fourth node.

[0152] For example, in modes 1 to 3 shown in Figure 1C, the first node may be a terminal and the third node may be an access network device. In modes 4 and 5, the first node may be an access network device and the third node may be a terminal.

[0153] In some embodiments, if the reference signal is a positioning reference signal, the positioning mode used in the embodiments of the present disclosure may be any one of the aforementioned modes 1 to 5. Optionally, the positioning mode may be the aforementioned mode 3 and / or mode 5.

[0154] In some embodiments, the positioning reference signal is a reference signal sent by the third node to the first node for positioning.

[0155] In some embodiments, the positioning reference signal may include at least one of the following:

[0156] Downlink positioning reference signal PRS;

[0157] Uplink sounding reference signal SRS-Pos used for positioning.

[0158] For example, in modes 1, 2, and 3, the access network device as the third node may send a PRS to the terminal as the first node. For another example, in modes 4 and 5, the terminal as the third node may send an SRS-Pos to the access network device as the first node.

[0159] In some embodiments, the positioning reference signal may be other reference signals used for positioning, which is not limited in the embodiments of the present disclosure.

[0160] In some embodiments, a wireless signal may have multiple paths between being sent from the first node and reaching the third node, such as line-of-sight paths and / or non-line-of-sight paths. Further illustratively, the non-line-of-sight paths may include one or more paths.

[0161] The same reference signal has different delays in reaching the third node through different transmission paths and different transmission losses after passing through different paths, so the first power data measured by the third node will also be different.

[0162] In some embodiments, the first node obtains path data of m transmission paths by measuring a reference signal.

[0163] In some embodiments, the first node receives the path data from the fourth node.

[0164] In some embodiments, the path data corresponding to each transmission path includes delay data and first power data.

[0165] Exemplarily, the delay data for the xth transmission path may include: a time difference between a starting time, an intermediate time, or an ending time when the reference signal reaches the first node or the fourth node via the xth transmission path and a reference time. The reference time may include, but is not limited to, the start time of a corresponding radio frame or system frame, or the time when the reference signal is transmitted.

[0166] As another example, the first power data of the xth transmission path may include: the average power, maximum power, minimum power or median value of the power value measured by the first node or the fourth node after the reference signal reaches the first node or the fourth node through the xth transmission path.

[0167] In some embodiments, the delay data indicates an arrival delay of the reference signal transmitted from the transmitting end to the receiving end.

[0168] In some other embodiments, the first power data indicates a measured power of a reference signal.

[0169] In some embodiments, m is a positive integer. For example, the value of m is 2, 3, 4, or 5.

[0170] In some embodiments, path data of S transmission paths of the reference signal are obtained; S is equal to m.

[0171] In some embodiments, path data of S transmission paths of a reference signal are obtained; S is greater than or equal to m;

[0172] According to the path data of the S transmission paths, path data of m transmission paths that meet the first condition are selected.

[0173] In some embodiments, the m transmission paths that meet the first condition include at least one of the following:

[0174] m transmission paths with the largest first power data;

[0175] m transmission paths with the smallest data delay.

[0176] For example, the first power data of S transmission paths are sorted. The sorting method can be from largest to smallest or from smallest to largest. Then, the m transmission paths with the largest first power are selected as the m transmission paths that meet the first condition. If the first power data of a transmission path is very low, it means that the path is heavily obstructed or the path is very long. This transmission path is not accurate enough for positioning. Therefore, the path data of this transmission path can be removed. On the one hand, this does not affect positioning accuracy. On the other hand, by not reporting the path data of this transmission path in the first information, signaling overhead can be saved.

[0177] For another example, the delay data of S transmission paths are sorted. The sorting method may include sorting the delay data from smallest to largest, or sorting the delay data from largest to smallest. After the sorting is completed, the transmission path with the smallest delay data is selected as the transmission path that meets the first condition. For example, if the delay data of a transmission path is very large, it means that the delay is very large. In this case, it is likely a non-line-of-sight path, such as a refractive path. This path is not helpful for positioning accuracy, so the path data of this transmission path can be discarded.

[0178] Exemplarily, the m may be indicated by the third node, or determined by the first node according to the AI ​​model used by the third node.

[0179] In some embodiments, the m transmission paths that meet the first condition may further include at least one of the following:

[0180] The first power data is greater than the power threshold;

[0181] The latency data is less than the latency threshold.

[0182] Exemplarily, the power threshold and / or the delay threshold may be indicated by a network device, may be agreed upon by a protocol, or may be determined by a local configuration of the first node.

[0183] In this way, by selecting a transmission path that meets the first condition, the amount of data that needs to be carried by the first information can be reduced, thereby further reducing signaling overhead.

[0184] It is worth noting that in some embodiments, it is not necessary to determine whether the path data for the m transmission paths meets the first condition. For example, the path data for the m transmission paths may directly be the path data for all transmission paths of a reference signal acquired by the first node. In this case, the value of m may depend on the number of transmission paths for which the path data acquired by the first node is related.

[0185] In some embodiments, the indication information may further indicate the first condition.

[0186] S2103: The first node sends first information to the second node.

[0187] In some embodiments, if the first node is a UE, the first information may be carried in a Non Access Stratum (NAS) message and sent to the second node. Of course, if the first node is a UE, the first information may also be forwarded to the second node of the core network via the base station.

[0188] In other embodiments, if the first node is a base station, the first information can be carried in an interface message between the base station and the second node of the core network and sent to the second node, or the first node can send the first information to the second node by calling a corresponding service.

[0189] In some embodiments, the first information may include but is not limited to delay data of m transmission paths.

[0190] In some embodiments, the first information does not include the first power data of the m transmission paths.

[0191] In some embodiments, the delay data of the m transmission paths are sorted in the first information according to the magnitude of the first power data of the m transmission paths. In some embodiments, the sorting of the delay data of the m transmission paths is used to reflect the sorting of the first power data of the m transmission paths.

[0192] In some embodiments, the first data includes delay data of m transmission paths and maximum first power data among the m transmission paths.

[0193] Correspondingly, the second node receives the first information.

[0194] It is worth noting that S2101 and S2102 may be performed in any order, as long as they are both performed before S2103. For example, if the indication data does not involve m, S, a delay threshold, or a power threshold, the first node may first perform the step of obtaining path data, or may first receive the indication information and then perform the corresponding steps.

[0195] S2104: The second node sets second power data.

[0196] In some embodiments, the second node sets the second power data of the m transmission paths according to the order of the delay data of the m transmission paths in the first information.

[0197] In some embodiments, the order of the second power data of the m transmission paths is the same as the order of the first power data of the m transmission paths.

[0198] In some embodiments, the value range of the second power data may be 1 to m, then the second power data of the transmission path with the largest first power data among the m transmission paths may be m, the second power data of the transmission path with the second largest first power data among the m transmission paths may be m-1... The second power data of the transmission path with the smallest first power data among the m transmission paths may be 1.

[0199] In some embodiments, the second power data is pre-set to multiple levels. The second power data for the m transmission paths is set based on the order of the delay data and the correspondence between the order and the levels. In some embodiments, if the first information includes S transmission paths or the maximum first power data among the m transmission paths, the second node may set the second power data based on the order of the delay data in the first information or the maximum first power data. The maximum value of the second power data is less than or equal to the maximum first power data carried in the first information.

[0200] In some embodiments, the first information includes m bit vectors; one bit vector is used to carry delay data of a transmission path.

[0201] In some embodiments, the first information may include m data arrays, where one data array is used to carry delay data of one transmission path.

[0202] In some embodiments, the first information may include a vector, where an element in the vector is used to carry delay data of a transmission path, and the order of different elements in the vector is the order of the delay data.

[0203] In some embodiments, the time delay data includes a time domain sampling number. If the time domain sampling number is used relative to the moment data of floating point data accurate to seconds or milliseconds, the bit overhead can be further saved.

[0204] In some embodiments, the delay data may be precise delay time length data.

[0205] As shown in FIG3 , an embodiment of the present disclosure provides a path data processing method, which is executed by a first node. The method may include:

[0206] S3101: Obtain path data of m transmission paths of a reference signal.

[0207] In some embodiments, the path data includes delay data and first power data.

[0208] In some other embodiments, the delay data indicates an arrival delay of the reference signal transmitted from the transmitting end to the receiving end; and the first power data indicates a measured power of the reference signal.

[0209] In some other embodiments, m is a positive integer.

[0210] It is worth noting that: the relevant descriptions of the reference signal, transmission path, and path data here can be found in the relevant descriptions of the embodiment corresponding to Figure 2 above. The optional method of obtaining the path data of m transmission paths can be found in S2102 of the embodiment corresponding to Figure 2. The specific implementation will not be repeated here.

[0211] S3102: Receive the second information.

[0212] In some embodiments, the first node receives second information from the second node.

[0213] In some embodiments, the relevant description of the second information can be found in S2102 of the corresponding embodiment of FIG. 2 .

[0214] S3103: Send the first message.

[0215] In some embodiments, the optional step of S3103 can refer to S2103 of the corresponding embodiment of Figure 2.

[0216] It is worth noting that: in some embodiments, S3102 is an optional step. For example, the first device may determine the type of the first information according to the positioning type and / or its own positioning needs and / or positioning requirements.

[0217] As shown in FIG4 , an embodiment of the present disclosure provides a path data processing method, which is executed by a first node. The method may include:

[0218] S4101: Send the second information.

[0219] In some embodiments, the first node sends the second information to the second node.

[0220] It is worth noting that for the description of the first node, the second node, the second information and the operations related to sending the second information, reference can be made to the relevant description of the embodiment corresponding to FIG. 2 , such as the relevant description of S2102 .

[0221] It is worth noting that: in some embodiments, S4101 is an optional step. For example, the first device can determine the type of the first information based on the positioning type and / or its own positioning needs and / or positioning requirements. At this time, the second node may not perform the sending operation of the second information.

[0222] S4102: Receive first information.

[0223] In some embodiments, the second node receives the first information sent by the first node.

[0224] In some embodiments, the path data includes delay data and first power data.

[0225] In some embodiments, the delay data indicates an arrival delay of the reference signal transmitted from the transmitting end to the receiving end.

[0226] In some real-time scenarios, the first power data indicates a measured power of a reference signal; and m is a positive integer.

[0227] It is worth noting that: for the description of the first information here, reference may be made to the relevant description of the embodiment corresponding to FIG. 2 , such as the relevant description of S2103 .

[0228] S4103: Set the second power data.

[0229] In some embodiments, the second power data of the m transmission paths are set according to the order of the delay data of the m transmission paths in the first information.

[0230] In some embodiments, the order of the second power data of the m transmission paths is the same as the order of the first power data of the m transmission paths.

[0231] For example, how the second node specifically sets the second power data may be found in S2104 of the embodiment corresponding to FIG. 2 .

[0232] It is worth noting that S4101 and / or S4103 are optional steps. For example, whether the data reporting type is the first type or the second type can be determined by the first node. If the second node is not the node that determines the positioning result, S4103 can also be an optional step.

[0233] In some embodiments, the first node, as a node for determining positioning results, further includes: determining the positioning result based on the latency data and the second power data. For example, the latency data and the second power data are input into an AI model corresponding to the first type to obtain the positioning result. For another example, the latency data and the second power data are input into an AI model corresponding to the second type to similarly obtain the positioning result.

[0234] Since the UE or BS needs to report the channel path data used for AI positioning to the LMF, although reporting the complete path data can achieve higher positioning accuracy, the data reporting overhead is large.

[0235] The present disclosure provides a method for processing and reporting path data of quantized power information, including:

[0236] Step 1: Process the path data obtained based on positioning reference signal measurements at the channel data measurement nodes used for positioning (including UE and gNB).

[0237] Step 2: Use the path data reporting method proposed in the embodiment of the present disclosure to complete data reporting.

[0238] The data receiving end (for example, the AI ​​model inference node (such as LMF)) post-processes the received data according to the method proposed in the embodiment of the present disclosure.

[0239] The method proposed in the embodiment of the present disclosure can significantly reduce the channel path data transmission overhead used for AI positioning while ensuring positioning accuracy, which is conducive to promoting the application of AI-based high-precision positioning technology in actual communication systems.

[0240] The propagation path data of higher-power signals received at the receiver plays a greater role in positioning, while the propagation paths of lower-power signals are subject to greater interference from the communication environment and are less likely to reflect the target's actual location. If both path power and delay data are reported and used as input to the AI ​​positioning model, the positioning model can fully utilize the power and delay information of each path to output a more accurate positioning result.

[0241] For each propagation path, its delay data can be represented by the location information of the time domain sampling points. For example, the receiver's time domain measurement range is quantized into 256 sampling points. The channel propagation path detected by the receiver is located at a portion of the time domain sampling points. When reporting path delay data, the corresponding sampling point locations can be reported, thus reducing the overhead required for reporting delay data.

[0242] However, the power information for each path is typically in the form of floating-point numbers, a highly accurate data type. Reporting this information results in significant data reporting overhead. If only the latency data for each path is reported as input to the AI ​​positioning model, the model will be unable to identify the stronger receiving paths that are more critical for positioning, making it difficult to achieve high positioning accuracy.

[0243] To address the above issues regarding the accuracy and overhead of path data used for positioning, the present disclosure proposes an AI positioning measurement path data reporting method for quantized power information, which mainly includes three steps: data preprocessing, data reporting, and data post-processing.

[0244] (1) Channel data measurement node data preprocessing can be as follows:

[0245] The channel data measurement node obtains S propagation path data based on a reference signal used for positioning, where the i-th propagation path data includes first power data Pi and delay data Ti. The delay data t and the corresponding first power data p of the m path data with the largest power values ​​in the propagation path data are retained.

[0246] In some cases, m can be determined based on the actual positioning accuracy and data reporting overhead requirements, and m is less than or equal to S. In other cases, the size of m can be determined based on the required input dimension of the AI ​​model.

[0247] (2) The propagation path data can be reported as follows:

[0248] The channel data measurement node sorts the reserved delay data t and the first power data p of the m propagation paths according to the power values, and reports the m delay data t in sequence.

[0249] The method for reporting m delay data t may include at least one of the following:

[0250] The length of m is The i-th bit vector represents the time domain sampling point number of the i-th propagation path. N can be the number of candidate values ​​of the delay data of a transmission path.

[0251] (3) AI model inference node data post-processing:

[0252] After receiving the reported data, the AI ​​model inference node (mainly LMF) performs data post-processing in the order of receiving the data. The specific processing method is: for the i-th received delay data, set its corresponding first power data to the quantized power information Ai. The smaller i is, the larger the original first power data of the path is, and the larger the value of Ai is set accordingly. This Ai is the aforementioned second power data. You can refer to one of the embodiments: set the first power data of the i-th received path to mi.

[0253] The above processing method is to report in order of power from large to small. Conversely, reporting in order of power from small to large also falls within the scope of the embodiments of the present disclosure. It only requires synchronously changing the data reporting and data post-processing methods.

[0254] The complete AI positioning model application process of the embodiment of the present disclosure can be shown in Figure 5. The channel path data processing and transmission method for AI positioning proposed in the embodiment of the present disclosure is mainly applied to steps 1, 4, 5, and 6.

[0255] As shown in FIG5 , a positioning method based on an AI positioning model (referred to as an AI model) may include:

[0256] S5101: The AI ​​model inference node sends a channel measurement data reporting type indication for positioning to a channel data measurement node. The channel measurement data reporting type indication may be referred to as a reporting type, and may specifically include but is not limited to the aforementioned first type and / or second type. The AI ​​model inference node may correspond to the aforementioned second node.

[0257] S5102: The reference signal sending node sends a positioning reference signal.

[0258] S5103: Acquiring channel measurement data. The acquired channel measurement data may be the path data before the aforementioned processing.

[0259] S5104: Preprocessing the channel measurement data, for example, selecting path data of m transmission paths that meet the first condition.

[0260] S5105: Send the pre-processed channel measurement data.

[0261] S5106: Post-process the channel measurement data, for example, setting second power data.

[0262] S5107: The positioning model infers the positioning result.

[0263] The positioning model inference node sends a channel path data reporting type indication for positioning to the channel data measurement node. The two will perform matching data preprocessing, reporting, and post-processing based on the channel path data reporting type in subsequent processes.

[0264] For example, if the channel path data reporting type indicated by the positioning model inference node to the channel data measurement node for positioning is propagation path data of quantized power information, the positioning model inference node and the channel data measurement node use the data preprocessing, reporting, and post-processing methods proposed in the embodiment of the present disclosure to complete related operations.

[0265] The reference signal sending node sends a positioning reference signal to the channel data measurement node.

[0266] In mode 3, the reference signal sending node is the BS, the positioning reference signal is the PRS, and the channel data measurement node is the UE; in mode 5, the reference signal sending node is the UE, the positioning reference signal is the SRS-Pos, and the channel data measurement node is the BS.

[0267] The channel data measurement node receives the positioning reference signal and calculates and obtains the signal propagation path data;

[0268] The channel data measurement node applies the data preprocessing and representation method proposed in the embodiment of the present disclosure to obtain signal propagation path data of quantized power information.

[0269] The channel data measurement node reports the processed signal propagation path data to the AI ​​positioning model inference node LMF.

[0270] The AI ​​positioning model inference node LMF receives signal propagation path data, applies the data post-processing method proposed in the embodiment of the present disclosure to process the data, inputs the processed data into the AI ​​positioning model, and obtains the positioning result, i.e., the terminal location coordinates.

[0271] The embodiments of the present disclosure are aimed at application scenarios in which positioning is completed based on an AI model, and are aimed at an application mode in which the LMF receives channel path data reported by the UE or BS and inputs the data into the AI ​​positioning model to obtain the terminal location coordinates. In order to solve the problem of high overhead in reporting propagation path data used for positioning, the embodiments of the present disclosure propose a signal propagation path data processing and reporting method with low data reporting overhead. After the UE or BS obtains the signal propagation path data, the time delay data of part of the path and the quantized first power data are reported in sequence. The receiving end LMF performs data post-processing and then inputs the data into the AI ​​positioning model to obtain the positioning result. The embodiments of the present disclosure can effectively reduce the overhead of reporting channel path data used for positioning while ensuring positioning accuracy, which is conducive to promoting the application of AI-based positioning solutions in actual communication systems.

[0272] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations in other embodiments.

[0273] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations in other embodiments.

[0274] The embodiments of the present disclosure also provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device or a core network device) in any of the above methods.

[0275] It should be understood that the division of the various units or modules in the above devices is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above devices, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0276] In the embodiments of the present disclosure, a processor is a circuit with signal processing capabilities. In one implementation, the processor may be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of a hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DLP), or a computer programmable logic device (CLP). Unit, DPU) etc.

[0277] As shown in FIG6A , an embodiment of the present disclosure provides a first node, wherein the first node includes:

[0278] The receiving module 6101 is configured to obtain path data of m transmission paths of a reference signal; the path data includes delay data and first power data; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer;

[0279] The sending module 6102 is configured to send first information to the second node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

[0280] In some embodiments, the first node may further include a processing module.

[0281] In some embodiments, the processing module can be used for the terminal to execute information processing related steps in any path data processing method.

[0282] In some embodiments, the sending module and / or the receiving module may correspond to a network interface and / or a transceiver antenna of the first node.

[0283] In some embodiments, the sending module may be used by the first node to execute steps related to information sending in any one of the path data processing methods.

[0284] In some embodiments, the receiving module may be used by the first node to execute steps related to information sending in any one of the path data processing methods.

[0285] In some embodiments, the processing module is configured to obtain path data of S transmission paths of the reference signal; S is greater than or equal to m; and select path data of m transmission paths that meet the first condition based on the path data of the S transmission paths.

[0286] In some embodiments, the m transmission paths that meet the first condition include at least one of the following:

[0287] m transmission paths with the largest first power data;

[0288] m transmission paths with the smallest data delay.

[0289] In some embodiments, the first information includes m bit vectors; one bit vector is used to carry delay data of a transmission path.

[0290] In some embodiments, the i-th bit vector in the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the sorting result of the first power data of the m transmission paths from large to small; the second sorting result is the sorting result of the first power data of the m transmission paths from small to large; i is a positive integer less than or equal to m.

[0291] In some embodiments, the time delay data includes time domain sample numbers.

[0292] In some embodiments, the receiving module is configured to receive indication information from the second node; the indication information is used by the first node to determine a reporting type of the path data; the reporting type includes at least one of the following:

[0293] The first type, when the first type is adopted, the delay data of the path data is sent to the second node;

[0294] The second type: when the second type is adopted, both the delay data and the first power data in the path data are sent to the second node.

[0295] In some embodiments, the first node is a user equipment (UE) or a base station.

[0296] In some embodiments, the second node is a Location Management Function LMF.

[0297] FIG6B is a second node provided by an embodiment of the present disclosure, wherein the second node includes:

[0298] The receiving module 6201 is configured to receive first information sent by the first node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer.

[0299] In some embodiments, the second node may further include a sending module and / or a processing module.

[0300] In some embodiments, the processing module may be configured to execute any steps related to information processing in the path data processing method executed by the second node.

[0301] In some embodiments, the network device may further include: a sending module and / or a receiving module.

[0302] In some embodiments, the sending module and / or the receiving module may correspond to a network interface and / or a transceiver antenna of the second node.

[0303] In some embodiments, the first information includes m bit vectors; one bit vector is used to carry delay data of a transmission path.

[0304] In some embodiments, the i-th bit vector in the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the result of sorting the first power data of the m transmission paths from largest to smallest; the second sorting result is the result of sorting the first power data of the m transmission paths from smallest to largest. i is a positive integer less than or equal to m.

[0305] In some embodiments, the time delay data includes time domain sample numbers.

[0306] In some embodiments, the processing module is configured to set the second power data of the m transmission paths according to the order of the delay data of the m transmission paths in the first information; wherein the size ordering of the second power data of the m transmission paths is the same as the size ordering of the first power data of the m transmission paths.

[0307] In some embodiments, the sending module is configured to send indication information to the first node; the indication information is used by the first node to determine a reporting type of the path data; the reporting type includes at least one of the following:

[0308] The first type, when the first type is adopted, the delay data of the path data is sent to the second node;

[0309] The second type: when the second type is adopted, both the delay data and the first power data in the path data are sent to the second node.

[0310] In some embodiments, the first node is a user equipment (UE) or a base station.

[0311] In some embodiments, the second node is a Location Management Function LMF.

[0312] An embodiment of the present disclosure further provides a communication device, which may include: one or more processors; wherein the processor is used to call instructions to enable the communication device to execute the path data processing method that can be implemented in any of the aforementioned embodiments.

[0313] 7A and / or 7B , the communication device 8100 further includes one or more memories 8102 for storing instructions. Alternatively, all or part of the memories 8102 may be located outside the communication device 8100.

[0314] The communication device may be the aforementioned terminal and network device. In some embodiments, the network device may be a master node and / or an auxiliary node.

[0315] In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the communication steps such as sending and receiving in the above method are performed by the transceiver 8103, and the other steps are performed by the processor 8101.

[0316] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0317] Optionally, the communication device 8100 further includes one or more interface circuits 8104, which are connected to the memory 8102. The interface circuits 8104 can be used to receive signals from the memory 8102 or other devices, and can be used to send signals to the memory 8102 or other devices. For example, the interface circuits 8104 can read instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0318] The communication device 8100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 7A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: (1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0319] 7B is a schematic diagram of the structure of a chip 8200 provided in an embodiment of the present disclosure. If the communication device 8100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 8200 shown in FIG7B , but the present disclosure is not limited thereto.

[0320] The chip 8200 includes one or more processors 8201 , and the processor 8201 is used to call instructions so that the chip 8200 executes any one of the above path data processing methods.

[0321] In some embodiments, chip 8200 further includes one or more interface circuits 8202, which are connected to memory 8203. Interface circuit 8202 can be used to receive signals from memory 8203 or other devices, and can be used to send signals to memory 8203 or other devices. For example, interface circuit 8202 can read instructions stored in memory 8203 and send the instructions to processor 8201. Optionally, the terms interface circuit, interface, transceiver pin, and transceiver are interchangeable.

[0322] In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Alternatively, all or part of the memories 8203 may be outside the chip 8200.

[0323] The present disclosure also provides a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but may also be a transient storage medium.

[0324] The present disclosure further provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above path data processing methods. Optionally, the program product is a computer program product.

[0325] The present disclosure also provides a computer program, which, when executed on a computer, enables the computer to execute any one of the above path data processing methods.

[0326] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered as exemplary only, with the true scope and spirit of the present invention being indicated by the following claims.

[0327] It should be understood that the embodiments of the present disclosure are not limited to the precise structures described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the embodiments of the present disclosure is limited only by the appended claims.

Claims

1. A path data processing method, wherein: Executed by the first node, the method includes: Acquire path data of m transmission paths of a reference signal; the path data includes delay data and first power data; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; m is a positive integer; Sending first information to the second node; the first information includes delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

2. The method according to claim 1, wherein The acquiring path data of the m transmission paths of the reference signal includes: Acquire path data of S transmission paths of the reference signal, where S is greater than or equal to m; According to the path data of the S transmission paths, the path data of the m transmission paths that meet the first condition are selected.

3. The method according to claim 2, wherein: The m transmission paths that meet the first condition include at least one of the following: m transmission paths with the largest first power data; m transmission paths with the smallest data delay.

4. The method according to any one of claims 1 to 3, wherein: The first information includes m bit vectors; one bit vector is used to carry delay data of one transmission path.

5. The method according to any one of claims 1 to 4, wherein: The i-th bit vector among the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the sorting result of the first power data of the m transmission paths from large to small; the second sorting result is the sorting result of the first power data of the m transmission paths from small to large; the i-th is a positive integer less than or equal to the m.

6. The method according to any one of claims 1 to 5, wherein: The time delay data includes a time domain sampling number.

7. The method according to any one of claims 1 to 6, wherein: The method further comprises: Receive indication information from the second node; the indication information is used by the first node to determine a reporting type of path data; the reporting type includes at least one of the following: The first type, when the first type is adopted, the delay data of the path data is sent to the second node; The second type: when the second type is adopted, both the delay data in the path data and the first power data are sent to the second node.

8. The method according to any one of claims 1 to 7, wherein: The first node is a user equipment UE or a base station.

9. The method according to any one of claims 1 to 8, wherein: The second node is the Location Management Function LMF.

10. A path data processing method, wherein: Executed by the second node, the method includes: Receive first information sent by a first node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of a reference signal transmitted from a transmitting end to a receiving end; the first power data indicates the measured power of the reference signal; and m is a positive integer.

11. The method according to claim 10, wherein: The first information includes m bit vectors; one bit vector is used to carry delay data of one transmission path.

12. The method according to claim 10 or 11, wherein: The i-th bit vector among the m bit vectors is used to indicate the delay data of the i-th transmission path in the first sorting result or the second sorting result; the first sorting result is the sorting result of the first power data of the m transmission paths from large to small; the second sorting result is the sorting result of the first power data of the m transmission paths from small to large; i is a positive integer less than or equal to m.

13. The method according to any one of claims 10 to 12, wherein: The time delay data includes a time domain sampling number.

14. The method according to any one of claims 10 to 13, wherein: The method further comprises: According to the order of the delay data of the m transmission paths in the first information, the second power data of the m transmission paths are set; wherein the size order of the second power data of the m transmission paths is the same as the size order of the first power data of the m transmission paths.

15. The method according to claim 14, wherein The method further comprises: Sending indication information to the first node; the indication information is used by the first node to determine a reporting type of the path data; the reporting type includes at least one of the following: The first type, when the first type is adopted, the delay data of the path data is sent to the second node; The second type: when the second type is adopted, both the delay data in the path data and the first power data are sent to the second node.

16. The method according to any one of claims 10 to 15, wherein: The first node is a user equipment UE or a base station.

17. The method according to any one of claims 10 to 16, wherein: The second node is the Location Management Function LMF.

18. A first node, wherein: The first node includes: a receiving module configured to obtain path data of m transmission paths of a reference signal; the path data comprising delay data and first power data; the delay data indicating an arrival delay of the reference signal from a transmitting end to a receiving end; the first power data indicating a measured power of the reference signal; and m being a positive integer; The sending module is configured to send first information to the second node; the first information includes the delay data of the m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths.

19. A second node, wherein: The second node includes: A receiving module is configured to receive first information sent by a first node; the first information includes delay data of m transmission paths; the delay data of the m transmission paths are sorted in the first information according to the size of the first power data of the m transmission paths; the delay data indicates the arrival delay of the reference signal from the transmitting end to the receiving end; the first power data indicates the measured power of the reference signal; and m is a positive integer.

20. A communication device, wherein: The communication device comprises: one or more processors; The processor is configured to call instructions to enable the communication device to execute the path data processing method according to any one of claims 1 to 9 and / or 10 to 17.

21. A storage medium, wherein: The storage medium stores instructions, and when the instructions are executed on a communication device, the communication device executes the path data processing method according to any one of claims 1 to 9 and / or 10 to 17.

22. A communication system, wherein: The communication system comprises: A first node, configured to execute the path data processing method according to any one of claims 1 to 9; The second node is used to execute the path data processing method described in any one of claims 10 to 17.

23. A computer program product, wherein The method comprises a computer program or an instruction, wherein when the computer program or the instruction is executed by a processor, the steps of the method according to any one of claims 1 to 9 or 10 to 17 are implemented.

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