Message sending method and device

CN119586254APending Publication Date: 2025-03-07BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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Patent Information

Application Number
CN202380009920.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-06-30
Publication Date
2025-03-07

AI Technical Summary

Technical Problem

The message transmission efficiency is low, resulting in low efficiency in the positioning process.

Method used

By sending system message SIB based on artificial intelligence AI in the communication system, including configuration information of terminals and network devices, optimizing positioning operations, supporting direct positioning, arrival time prediction and direct diameter/non-direct diameter classification methods, improving message transmission efficiency and Convenience of positioning.

Benefits of technology

This improves message transmission efficiency, reduces the time for determining the positioning method, and improves positioning accuracy and resource utilization efficiency.

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Abstract

The invention provides a message sending method and device, equipment and a storage medium, and the method comprises the steps: sending a system message SIB related to AI-based positioning to a terminal, and the system message comprises configuration information of at least one of the terminal and network equipment for AI-based positioning. The message transmission efficiency can be improved, and the positioning convenience is improved.
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Description

Message sending method and device Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a message sending method, apparatus, device, and storage medium. Background Art

[0002] The widespread application of artificial intelligence (AI) technology in communications systems has brought about significant changes in all aspects of our lives. The continued development of AI technology not only brings a wide variety of applications to smart devices but also promotes industrial upgrades across various industries. For example, AI models can be used for positioning.

[0003] Summary of the Invention

[0004] The present disclosure proposes a message sending method, apparatus, device and storage medium to solve the problem of low message transmission efficiency.

[0005] According to a first aspect of an embodiment of the present disclosure, a message sending method is proposed, where the method is executed by a network device, and the method includes:

[0006] Send a system information block (SIB) related to artificial intelligence (AI) positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

[0007] According to a second aspect of an embodiment of the present disclosure, a message receiving method is proposed, where the method is executed by a terminal and includes:

[0008] Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device;

[0009] Perform an AI-based positioning operation corresponding to the configuration information.

[0010] According to a third aspect of an embodiment of the present disclosure, a message sending method is proposed, where the method is executed by a positioning server, and the method includes:

[0011] Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

[0012] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, the device including:

[0013] A transceiver module is used to send a system message SIB related to artificial intelligence (AI) positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

[0014] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, the device including:

[0015] A transceiver module is configured to receive a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning;

[0016] A processing module is used to perform an AI-based positioning operation corresponding to the configuration information.

[0017] According to a sixth aspect of an embodiment of the present disclosure, a positioning server is provided, the device including:

[0018] A transceiver module is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

[0019] According to a seventh aspect of an embodiment of the present disclosure, a network device is provided, including:

[0020] one or more processors;

[0021] Wherein, the terminal is used to execute the message sending method described in the first aspect.

[0022] According to an eighth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0023] one or more processors;

[0024] The terminal is used to execute the message sending method described in any one of the second aspects.

[0025] According to a ninth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0026] one or more processors;

[0027] Wherein, the terminal is used to execute the message sending method described in any one of the third aspects.

[0028] According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal, a network device and a positioning server, wherein the network device is configured to implement the message sending method described in any one of the first aspects, the terminal is configured to implement the message sending method described in the second aspect, and the positioning server is configured to implement the message sending method described in the third aspect.

[0029] According to the eleventh aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the message sending method described in any one of the first aspect, the message sending method described in the second aspect, or the message sending method described in any one of the third aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0031] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

[0032] FIG2 is an interactive diagram of a message sending method provided by yet another embodiment of the present disclosure;

[0033] FIG3A is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0034] FIG3B is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0035] FIG3C is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0036] FIG4A is a schematic diagram of a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0037] FIG5A is a schematic diagram of a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0038] FIG6A is a flow chart of a message sending method provided by yet another embodiment of the present disclosure;

[0039] FIG7A is a schematic structural diagram of a network device provided by another embodiment of the present disclosure;

[0040] FIG7B is a schematic structural diagram of a terminal provided by an embodiment of the present disclosure;

[0041] FIG7C is a schematic structural diagram of a positioning server provided by an embodiment of the present disclosure;

[0042] FIG8A is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

[0043] FIG8B is a schematic structural diagram of a chip provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] The present disclosure proposes a message sending method, apparatus, device and storage medium to solve the problem of low message transmission efficiency.

[0045] According to a first aspect of an embodiment of the present disclosure, a message sending method is proposed, where the method is executed by a network device, and the method includes:

[0046] Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

[0047] In the above embodiment, a system message SIB related to artificial intelligence AI positioning can be sent to the terminal, public system messages can be provided to the terminal, the situation of sending public configuration information to different terminals multiple times can be reduced, the message transmission efficiency can be improved, and the convenience of positioning can be improved.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the configuration information is used to indicate support for at least one of the following positioning methods:

[0049] AI-based direct positioning method;

[0050] AI-based Time of Arrival (ToA) prediction method;

[0051] AI-based line of sight (LOS) or non line of sight (NLOS) classification method.

[0052] In the above embodiment, the positioning method indicated by the configuration information can be clearly defined, and the configuration information and the positioning method indicated by the configuration information can be used for positioning, thereby reducing the mismatch between the positioning method indicated by the configuration information and the configuration information, increasing the timing duration, and improving the positioning efficiency.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, the configuration information includes at least one of the following:

[0054] Data information sent by the terminal;

[0055] Configuration information of a channel sounding reference signal (SRS) sent by the terminal;

[0056] Configuration information of a Positioning Reference Signal (PRS) sent by the network device.

[0057] In conjunction with some embodiments of the first aspect, in some embodiments, the data information includes at least one of the following:

[0058] Data type;

[0059] The dimension corresponding to the data type.

[0060] In conjunction with some embodiments of the first aspect, in some embodiments, the data type includes at least one of the following:

[0061] Reference Signal Receiving Power (RSRP);

[0062] channel impulse response (CIR);

[0063] Power distribution information.

[0064] In combination with some embodiments of the first aspect, in some embodiments, the AI ​​positioning-related system message includes at least one positioning system message type.

[0065] In the above embodiment, the system message type may correspond to different auxiliary data elements, so the terminal may perform a positioning operation according to the system message type, thereby reducing the time for determining the positioning method and improving positioning efficiency.

[0066] In combination with some embodiments of the first aspect, in some embodiments, different positioning system message types correspond to different AI-based positioning methods.

[0067] In the above embodiment, different positioning system message types correspond to different AI-based positioning methods. Therefore, the terminal can directly perform the positioning operation corresponding to the AI-based positioning method according to the system message type, thereby reducing the time for determining the positioning method and improving positioning efficiency.

[0068] In combination with some embodiments of the first aspect, in some embodiments, multiple positioning system message types correspond to the same AI-based positioning method.

[0069] In combination with some embodiments of the first aspect, in some embodiments, one positioning message type corresponds to multiple different AI-based positioning methods.

[0070] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0071] Receive configuration information sent by the positioning server;

[0072] The configuration information is mapped to the corresponding information field in the system message.

[0073] In the above embodiment, the configuration information sent by the positioning server can be mapped to the information field corresponding to the system message, which can provide a configuration method for the system message and improve the convenience of defining the system message.

[0074] In conjunction with some embodiments of the first aspect, in some embodiments, sending a system message SIB related to artificial intelligence AI positioning to the terminal includes:

[0075] receiving a system message SIB sent by the terminal using random access resources;

[0076] Sending a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal.

[0077] In the above embodiment, system messages related to artificial intelligence AI positioning can be sent based on the system message SIB sent by the terminal, which can improve the accuracy of transmission of system messages related to artificial intelligence AI positioning, reduce the resources used for sending unnecessary system messages related to artificial intelligence AI positioning, save resources, and improve resource utilization efficiency.

[0078] In conjunction with some embodiments of the first aspect, in some embodiments, sending a system message SIB related to artificial intelligence AI positioning to the terminal includes:

[0079] Periodically sending at least one SIB in the positioning-related system message SIB to the terminal.

[0080] In the above embodiment, at least one SIB in the positioning-related system message SIB is sent periodically, which can improve the convenience of transmitting the positioning-related system message SIB, reduce the situation where the positioning-related system message SIB cannot be sent to the terminal in time, and improve the message transmission efficiency.

[0081] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0082] Sending SIB1 to the terminal, wherein the SIB1 carries time information of sending the at least one SIB.

[0083] In the above embodiment, SIB1 may carry time information for sending at least one SIB, and a time mechanism for periodically sending SIBs may be provided, thereby improving the accuracy of message reception and the efficiency of message transmission.

[0084] According to a second aspect of an embodiment of the present disclosure, a message receiving method is proposed, the method being executed by a terminal, and the method comprising:

[0085] Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device;

[0086] Perform an AI-based positioning operation corresponding to the configuration information.

[0087] In the above embodiment, the system message SIB related to artificial intelligence AI positioning sent by the network device can be received and the corresponding AI-based positioning operation can be performed. The public configuration information sent by the network device can be directly received, the message transmission efficiency can be improved, and the determination time of the AI-based positioning operation can be reduced, thereby improving the convenience of positioning.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information is used to indicate support for at least one of the following positioning methods:

[0089] AI-based direct positioning method;

[0090] AI-based time of arrival (ToA) prediction method;

[0091] AI-based direct path LOS classification or indirect path NLOS classification method.

[0092] In conjunction with some embodiments of the second aspect, in some embodiments, the configuration information includes at least one of the following:

[0093] Data information sent by the terminal;

[0094] Configuration information of a channel sounding reference signal SRS sent by the terminal;

[0095] Configuration information of a positioning reference signal (PRS) sent by the network device.

[0096] In conjunction with some embodiments of the second aspect, in some embodiments, the data information includes at least one of the following:

[0097] Data type;

[0098] The dimension corresponding to the data type.

[0099] In conjunction with some embodiments of the second aspect, in some embodiments, the data type includes at least one of the following:

[0100] Reference signal received power RSRP;

[0101] Channel impulse response;

[0102] Power distribution information.

[0103] In combination with some embodiments of the second aspect, in some embodiments, the AI ​​positioning-related system message includes at least one positioning system message type.

[0104] In combination with some embodiments of the second aspect, in some embodiments, different positioning system message types correspond to different AI-based positioning methods.

[0105] In combination with some embodiments of the second aspect, in some embodiments, multiple positioning system message types correspond to the same AI-based positioning method.

[0106] In combination with some embodiments of the second aspect, in some embodiments, one positioning message type corresponds to multiple different AI-based positioning methods.

[0107] In conjunction with some embodiments of the second aspect, in some embodiments, receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device includes:

[0108] Periodically receive at least one SIB in the AI ​​positioning-related system message SIB sent by the network device.

[0109] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0110] Receive the SIB1 sent by the network device, where the SIB1 carries time information of sending the at least one SIB.

[0111] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0112] Sending a system message SIB to the network device using random access resources;

[0113] Receive SIB information sent by the network device for the system message SIB.

[0114] According to a third aspect of an embodiment of the present disclosure, a message sending method is proposed, where the method is executed by a positioning server, and the method includes:

[0115] Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

[0116] In the above embodiment, configuration information can be sent to the network device so that the network device maps the configuration information to the information field corresponding to the system message, which can provide a configuration method for the system message and improve the convenience of system message definition.

[0117] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, the device including:

[0118] A transceiver module configured to send a system message (SIB) related to artificial intelligence (AI) positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device. The network device is configured to perform an optional implementation of the first aspect.

[0119] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, wherein the device includes:

[0120] A transceiver module is configured to receive a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning;

[0121] The processing module is configured to execute an AI-based positioning operation corresponding to the configuration information. The terminal is configured to execute an optional implementation of the second aspect.

[0122] In the above embodiment, the system message SIB related to artificial intelligence AI positioning sent by the network device can be received and the corresponding AI-based positioning operation can be performed. The public configuration information sent by the network device can be directly received, the message transmission efficiency can be improved, and the determination time of the AI-based positioning operation can be reduced, thereby improving the convenience of positioning.

[0123] According to a sixth aspect of an embodiment of the present disclosure, a positioning server is provided, the device including:

[0124] A transceiver module configured to send configuration information to a network device, wherein the configuration information is configured to instruct the network device to map the configuration information to a corresponding information field within a system message SIB related to artificial intelligence (AI) positioning. The terminal is configured to execute an optional implementation of the third aspect. The terminal is configured to execute an optional implementation of the third aspect.

[0125] According to a seventh aspect of an embodiment of the present disclosure, a network device is provided, including:

[0126] one or more processors;

[0127] Wherein, the terminal is used to execute the message sending method described in the first aspect.

[0128] According to an eighth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0129] one or more processors;

[0130] The terminal is used to execute the message sending method described in any one of the second aspects.

[0131] According to a ninth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0132] one or more processors;

[0133] Wherein, the terminal is used to execute the message sending method described in any one of the third aspects.

[0134] According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal, a network device and a positioning server, wherein the network device is configured to implement the message sending method described in any one of the first aspects, the terminal is configured to implement the message sending method described in the second aspect, and the positioning server is configured to implement the message sending method described in the third aspect.

[0135] According to the eleventh aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the message sending method described in any one of the first aspect, the message sending method described in the second aspect, or the message sending method described in any one of the third aspect.

[0136] The present disclosure provides a message sending method. In some embodiments, the terms "message sending method" and "information processing method" and "communication method" are interchangeable; the terms "message sending device" and "information processing device" and "communication device" are interchangeable; and the terms "information processing system" and "communication system" are interchangeable.

[0137] The embodiments of the present disclosure are not exhaustive and are merely 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, a solution 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 steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0138] 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.

[0139] 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.

[0140] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may 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 may be understood as a singular expression or a plural expression.

[0141] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0142] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0143] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: 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 above is also applicable when there are more branches such as A, B, and C.

[0144] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: 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, C, etc.

[0145] 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 information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0146] 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.

[0147] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0148] 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.

[0149] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0150] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0151] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or 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)", etc.

[0152] In some embodiments, "terminal" or "terminal device" may be referred to as "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.

[0153] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0154] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0155] 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.

[0156] FIG1 is a schematic diagram illustrating the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , a communication system 100 includes a terminal 101 , a network device 102 , and a positioning server 103 .

[0157] 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.

[0158] In some embodiments, network device 102 may be, for example, a base station, which may include multiple cells providing services to terminals. Depending on the specific application, a base station may also be referred to as an access point, or may be a device in an access network that communicates with wireless terminals over the air interface through one or more sectors, or may be referred to by other names. The network-side device may be configured to convert received air frames into and out of Internet Protocol (IP) packets, acting as a router between the wireless terminal and the rest of the access network, which may include an Internet Protocol (IP) communications network. The network-side device may also coordinate attribute management of the air interface. For example, the network side device involved in the embodiments of the present application can be a network device (Base Transceiver Station, BTS) in the Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), or a network device (NodeB) in Wide-band Code Division Multiple Access (WCDMA), or an evolved network device (evolutional Node B, eNB or e-NodeB) in the long term evolution (LTE) system, a 5G base station (gNB) in the 5G network architecture (next generation system), or a home evolved Node B (HeNB), a relay node, a home base station (femto), a pico base station (pico), etc., which is not limited in the embodiments of the present application.

[0159] In some embodiments, the network device 102 may include, for example, at least one of an access network device and a core network device.

[0160] In some embodiments, the access network device is, 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 sixth generation mobile networks (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.

[0161] 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.

[0162] 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.

[0163] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. 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).

[0164] In some embodiments, the core network device may be a single device including a first network element, a second network element, etc., or may be a plurality of devices or a group of devices, each including all or part of the first network element, the second network element, etc. 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).

[0165] In some embodiments, the first network element is, for example, a Policy Control Function (PCF).

[0166] In some embodiments, the first network element is used to "support a unified policy framework to manage network behavior, provide policy rules to network entities for implementation, and access subscription information of a unified data repository (UDR)", and the name is not limited thereto.

[0167] In some embodiments, the second network element is, for example, a unified data management function (UDM).

[0168] In some embodiments, the second network element is used to "be responsible for the management of user identification, subscription data, authentication data, and service network element registration management of the user", and the name is not limited to this.

[0169] In some embodiments, the third network element is, for example, an authentication service function (AUSF).

[0170] In some embodiments, the third network element is used to "receive a request from the access and mobility management function (AMF) to authenticate the terminal, request a key from the UDM, and then forward the key issued by the UDM to the AMF for authentication processing." The name is not limited to this.

[0171] In some embodiments, the third network element may be independent of the core network device.

[0172] In some embodiments, the third network element may be part of a core network device.

[0173] 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 proposed in 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 proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0174] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0175] 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).

[0176] In the communication system, the widespread application of the fifth generation mobile communication technology (5G) has brought tremendous changes to all aspects of people's lives. According to the vision of the International Telecommunication Union (ITU), 5G will penetrate into all areas of future society and build a comprehensive information ecosystem with users as the center. Among them, for example, the user experience rate of 5G can reach 100Mbit / s to 1Gbit / s, which can support ultimate business experiences such as mobile virtual reality (VR). For example, the peak rate of 5G can reach 10Gbit / s to 20Gbit / s, and the traffic density can reach 10Mbit / s / m 2 , which can support the growth of mobile business traffic by more than a thousand times in the future. For example, the density of 5G connections can reach 1 million / m 2 , effectively supporting massive numbers of IoT devices. For example, 5G transmission latency can reach milliseconds, meeting the stringent requirements of connected vehicles and industrial control. For example, 5G can support mobile speeds of 500 km / h, ensuring a superior user experience in high-speed rail environments. Thus, 5G, as a representative of new infrastructure, will reshape the future information society.

[0177] In recent years, AI technology has achieved continuous breakthroughs in numerous fields. The continued development of fields like intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in education, transportation, home furnishings, healthcare, retail, security, and other fields. While bringing convenience to people's lives, it is also promoting industrial upgrading across various industries. AI technology is also rapidly interpenetrating with other disciplines. Its development integrates knowledge from different disciplines while also providing new directions and methods for their development.

[0178] In Release 18 of the 3rd Generation Partnership Project (3GPP), a research project on artificial intelligence (AI) technology in the radio air interface was established within the radio access network RAN1. This project aims to investigate how to integrate AI technology into the radio air interface and explore how AI can assist in improving transmission technologies within the radio air interface.

[0179] In wireless AI research, AI application cases include at least one of the following:

[0180] AI-based channel state information (CSI) enhancement;

[0181] AI-based beam management;

[0182] AI-based positioning.

[0183] Optionally, in an embodiment of the present disclosure, for example, multiple positioning-related common positioning messages may be defined, as shown in Table 1. Table 1 shows the mapping relationship between positioning system message types (posSibType) and assistance data elements (assistanceDataElement).

[0184] Table 1

[0185] The following describes in detail a message sending method, apparatus, device, and storage medium provided by embodiments of the present disclosure with reference to the accompanying drawings.

[0186] FIG2 is an interactive diagram of a message sending method provided by an embodiment of the present disclosure. As shown in FIG2 , the method may include the following steps:

[0187] Step S2101, the positioning server 103 sends configuration information to the network device 102;

[0188] Step S2102: The network device 102 maps the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

[0189] Step S2103: The network device 102 sends a system message SIB related to artificial intelligence (AI) positioning to the terminal 101, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device;

[0190] Step S2104: The terminal 101 receives a system message SIB related to artificial intelligence (AI) positioning sent by the network device 102.

[0191] In step S2105 , the terminal 101 performs an AI-based positioning operation corresponding to the configuration information.

[0192] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0193] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0194] Optionally, in one embodiment of the present disclosure, the system message SIB related to artificial intelligence AI positioning may be, for example, a positioning public message, which may be, for example, a positioning public message related to positioning, which may be the same for all terminals.

[0195] Optionally, in one embodiment of the present disclosure, the terminal 101 performs an AI-based positioning operation corresponding to the configuration information, for example, by performing AI-based positioning inference based on the configuration information. For example, the terminal 101 itself may perform the AI-based positioning operation, or the terminal 101 may assist the network device 102 in performing the AI-based positioning operation.

[0196] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

[0197] AI-based direct positioning method;

[0198] AI-based time of arrival (ToA) prediction method;

[0199] AI-based direct path LOS classification or indirect path NLOS classification method.

[0200] Optionally, in one embodiment of the present disclosure, the configuration information used to indicate support for the AI-based direct positioning method may be, for example, used to indicate the AI-based positioning method supported by the cell, which may be, for example, a cell that sends a positioning public message. The cell may be, for example, a cell that sends a system message SIB related to artificial intelligence (AI) positioning.

[0201] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based direct positioning method. The AI-based direct positioning method can, for example, use an AI model to directly infer positioning coordinates.

[0202] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based time of arrival (ToA) prediction method. The AI-based time of arrival (ToA) prediction method can, for example, use an AI model to infer the arrival time of a signal.

[0203] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for an AI-based direct path LOS classification method or an indirect path NLOS classification method. The AI-based direct path LOS classification method or the indirect path NLOS classification method can, for example, use an AI model to determine whether the arrival path is LOS or NLOS.

[0204] Optionally, in one embodiment of the present disclosure, the configuration information includes at least one of the following:

[0205] Data information sent by the terminal;

[0206] Configuration information of the channel sounding reference signal SRS sent by the terminal;

[0207] Configuration information of the Positioning Reference Signal (PRS) sent by the network device.

[0208] Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

[0209] Data type;

[0210] The dimension corresponding to the data type.

[0211] Optionally, in one embodiment of the present disclosure, the data type includes at least one of the following:

[0212] Reference signal received power RSRP;

[0213] Channel impulse response;

[0214] Power distribution information.

[0215] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, perform an AI-based positioning operation based on the received configuration information. The configuration information may, for example, include configuration information of a positioning reference signal (PRS) sent by the network device 102. The terminal 101 may, for example, perform an AI-based positioning operation using an AI-based direct positioning method based on the configuration information of the positioning reference signal (PRS) sent by the network device 102.

[0216] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, perform an AI-based positioning operation using an AI-based arrival time ToA prediction method based on the configuration information of the positioning reference signal PRS sent by the network device 102.

[0217] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, perform AI-based positioning operations using an AI-based direct path LOS classification or non-direct path NLOS classification method based on the configuration information of the positioning reference signal PRS sent by the network device 102.

[0218] Optionally, in one embodiment of the present disclosure, when the network device 102 performs a positioning operation using an AI-based direct positioning method, the network device 102 may send a positioning-related system message SIB to the terminal 101. The configuration information included in the positioning-related system message SIB may include, for example, data information sent by the terminal 101. For example, the terminal 101 may send data information to the network device 102 based on the received configuration information, so that the network device 102 performs an AI-based positioning operation using an AI-based direct positioning method based on the data information.

[0219] Optionally, in one embodiment of the present disclosure, when the network device 102 performs a positioning operation using an AI-based direct positioning method, the network device 102 may send a positioning-related system message SIB to the terminal 101. The configuration information included in the positioning-related system message SIB may include, for example, configuration information of a channel sounding reference signal SRS sent by the terminal 101. For example, the terminal 101 may send a channel sounding reference signal SRS to the network device 102 according to the received configuration information, so that the network device 102 performs an AI-based positioning operation using an AI-based direct positioning method based on the channel sounding reference signal SRS.

[0220] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, adopt an AI-based arrival time ToA prediction method to perform AI-based positioning operations, and the positioning-related system message SIB received by the terminal 101 from the network device 102 may, for example, include configuration information related to ToA.

[0221] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, adopt an AI-based direct path LOS classification or non-direct path NLOS classification method to perform AI-based positioning operations, and the positioning-related system message SIB received by the terminal 101 and sent by the network device 102 may, for example, include configuration information related to LOS classification or NLOS classification.

[0222] Optionally, in one embodiment of the present disclosure, the system message related to AI positioning includes at least one positioning system message type. Different posSibs may include different information. For example, the specific information included may be indicated in the information header of the posSib.

[0223] Optionally, in one embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods. Different positioning system message types correspond to different assistance data elements assistanceDataElement, as shown in Table 2.

[0224] Table 2

[0225] Optionally, in one embodiment of the present disclosure, the positioning system message type (posSibType) corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-1, wherein the auxiliary data element corresponding to posSibType7-1 may be, for example, direct AI positioning configuration information;

[0226] The posSibType corresponding to the artificial intelligence-based ToA prediction method may be, for example, posSibType7-2, wherein the auxiliary data element corresponding to posSibType7-2 may be, for example, artificial intelligence-based ToA prediction configuration information;

[0227] The posSibType corresponding to the artificial intelligence-based LOS or NLOS indication method may be, for example, posSibType7-3, wherein the auxiliary data element corresponding to posSibType7-3 may be, for example, artificial intelligence-based LOS / NLOS configuration information.

[0228] Optionally, in one embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method. Different positioning system message types correspond to different assistance data elements assistanceDataElement, as shown in Table 3.

[0229] Table 3

[0230] Optionally, in one embodiment of the present disclosure, the positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-1, wherein the auxiliary data element corresponding to posSibType7-1 may be, for example, channel impulse response CIR configuration information;

[0231] The positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-2, wherein the auxiliary data element corresponding to posSibType7-2 may be, for example, power delay profile (PDP) configuration information;

[0232] The positioning system message type corresponding to the direct positioning method based on artificial intelligence may be, for example, posSibType7-3, wherein the auxiliary data element corresponding to posSibType7-3 may be, for example, propagation delay (Decentralized Periphery, DP) configuration information.

[0233] Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

[0234] Step S2106: The terminal 101 sends a system message SIB to the network device 102 using random access resources.

[0235] Step S2107: The network device 102 receives a system message SIB sent by the terminal 101 using random access resources.

[0236] In step S2108 , the network device 102 sends a system message related to artificial intelligence (AI) positioning corresponding to the system message SIB to the terminal 101 .

[0237] Optionally, in one embodiment of the present disclosure, the terminal 101 may, for example, use a specific random access resource to send a system message SIB to the network device 102 .

[0238] Optionally, in one embodiment of the present disclosure, the network device 102 receives a system message SIB sent by the terminal 101 using a specific random access resource.

[0239] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0240] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0241] In step S2109 , the network device 102 periodically sends at least one SIB in the positioning-related system message SIB to the terminal 101 .

[0242] In step S2110, the terminal 101 periodically receives at least one SIB in the system message SIB related to AI positioning sent by the network device.

[0243] In step S2111 , the network device 102 sends SIB1 to the terminal 101 , where SIB1 carries time information for sending at least one SIB.

[0244] In step S2112 , the terminal 101 receives the SIB1 sent by the network device 102 , where the SIB1 carries time information for sending at least one SIB.

[0245] The communication method according to the embodiments of the present disclosure may include at least one of steps S2101 to S2112. For example, step S2101 may be implemented as an independent embodiment, step S2105 may be implemented as an independent embodiment, steps S2101 to S2105 may be implemented as an independent embodiment, and steps S2105 to S2107 may be implemented as an independent embodiment, but the present disclosure is not limited thereto.

[0246] In some embodiments, steps S2109 and 2111 may be executed in an exchanged order or simultaneously, and steps S2110 and 2112 may be executed in an exchanged order or simultaneously.

[0247] In some embodiments, steps S5106 to S5112 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0248] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0249] FIG3A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a message sending method, which includes:

[0250] Step S3101: Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

[0251] Optionally, in an embodiment of the present disclosure, the execution subject of the embodiment of the present disclosure may be, for example, a network device, which may be, for example, a base station.

[0252] Optionally, in one embodiment of the present disclosure, before sending a system message SIB related to artificial intelligence AI positioning to the terminal, a system message SIB related to artificial intelligence AI positioning may already exist in the network device.

[0253] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

[0254] AI-based direct positioning method;

[0255] AI-based time of arrival (ToA) prediction method;

[0256] AI-based direct path LOS classification or indirect path NLOS classification method.

[0257] Optionally, in one embodiment of the present disclosure, the configuration information includes at least one of the following:

[0258] Data information sent by the terminal;

[0259] Configuration information of the channel sounding reference signal SRS sent by the terminal;

[0260] Configuration information of the Positioning Reference Signal (PRS) sent by the network device.

[0261] Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

[0262] Data type;

[0263] The dimension corresponding to the data type.

[0264] Optionally, in one embodiment of the present disclosure, the data type includes at least one of the following:

[0265] Reference signal received power RSRP;

[0266] Channel impulse response;

[0267] Power distribution information.

[0268] Optionally, in one embodiment of the present disclosure, the AI ​​positioning-related system message includes at least one positioning system message type.

[0269] Optionally, in one embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods.

[0270] Optionally, in one embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method.

[0271] Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

[0272] The optional implementation of step S3101 can refer to the optional implementation of steps S2101-2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0273] Step S3102: receiving configuration information sent by the positioning server;

[0274] Step S3103: Map the configuration information to the corresponding information field in the system message.

[0275] The optional implementation of steps S3102-3103 can refer to the optional implementation of steps S2101-2105 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0276] Step S3104: receiving a system message SIB sent by the terminal using random access resources;

[0277] Step S3105: Send a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal.

[0278] The optional implementation of steps S3101-3103 can refer to the optional implementation of steps S2106-2108 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0279] Step S3106: Periodically send at least one SIB in the positioning-related system message SIB to the terminal.

[0280] The optional implementation of step S3106 can refer to the optional implementation of step S2109 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0281] Step S3107: Send SIB1 to the terminal, where SIB1 carries time information for sending at least one SIB.

[0282] The optional implementation of step S3107 can refer to the optional implementation of step S2111 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0283] The communication method according to the embodiments of the present disclosure may include at least one of steps S3101 to S3107. For example, step S3101 may be implemented as an independent embodiment, step S3106 may be implemented as an independent embodiment, steps S3102 to S3103 may be implemented as independent embodiments, and steps S3106 to S3107 may be implemented as independent embodiments, but are not limited thereto.

[0284] In some embodiments, step S3106 and step S3107 may be executed in an exchanged order or simultaneously, and step S3105 and step S3106 may be executed in an exchanged order or simultaneously.

[0285] In some embodiments, steps S3102 to S3107 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0286] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0287] FIG3B is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a message sending method, which includes:

[0288] Step S3201: receiving configuration information sent by the positioning server;

[0289] Step S3202: Map the configuration information to the corresponding information field in the system message;

[0290] Step S3203: Periodically send at least one SIB in the AI-based positioning-related system message SIB to the terminal.

[0291] The optional implementation of steps S3201-3203 can refer to the optional implementation of steps S2101-2105 and step S2109 in Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0292] The communication method involved in the embodiment of the present disclosure may include at least one of steps S3201 to S3203. For example, step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, and steps S3201 and S3202 may be implemented as independent embodiments, but are not limited thereto.

[0293] In some embodiments, step S3202 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0294] In the embodiment of the present disclosure, step S3201 and step S3202 may be combined with step S2109 of FIG. 2 , and step S3201 and step S3202 may be combined with step S3106 of FIG. 3A .

[0295] FIG3C is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to a message sending method, which includes:

[0296] Step S3301: receiving configuration information sent by the positioning server;

[0297] Step S3302: Map the configuration information to the corresponding information field in the system message;

[0298] Step S3303: receiving a system message SIB sent by the terminal using random access resources;

[0299] Step S3304: Send a system message related to artificial intelligence AI positioning corresponding to the system message SIB to the terminal.

[0300] The optional implementation of steps S3301-3304 can be found in steps S2101-2105 of FIG. 2 , the optional implementation of step S6119 of FIG. 3A , and other related parts in the embodiments involved in FIG. 2 and FIG. 3A , which will not be repeated here.

[0301] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3301 to S3304. For example, step S6301 may be implemented as an independent embodiment, step S3304 may be implemented as an independent embodiment, and steps S3303 and S3304 may be implemented as independent embodiments, but are not limited thereto.

[0302] In some embodiments, steps S3302 to S3304 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0303] FIG4A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a message sending method, which includes:

[0304] Step S4101: receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device;

[0305] Step S4102: Execute an AI-based positioning operation corresponding to the configuration information.

[0306] In one embodiment of the present disclosure, its optional implementation method can refer to the optional implementation method of steps S2101 to S2105 in Figure 2, and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0307] Optionally, in one embodiment of the present disclosure, the configuration information is used to indicate support for at least one of the following positioning methods:

[0308] AI-based direct positioning method;

[0309] AI-based time of arrival (ToA) prediction method;

[0310] AI-based direct path LOS classification or indirect path NLOS classification method.

[0311] Optionally, in one embodiment of the present disclosure, the configuration information includes at least one of the following:

[0312] Data information sent by the terminal;

[0313] Configuration information of the channel sounding reference signal SRS sent by the terminal;

[0314] Configuration information of the Positioning Reference Signal (PRS) sent by the network device.

[0315] Optionally, in an embodiment of the present disclosure, the data information includes at least one of the following:

[0316] Data type;

[0317] The dimension corresponding to the data type.

[0318] Optionally, in one embodiment of the present disclosure, the data type includes at least one of the following:

[0319] Reference signal received power RSRP;

[0320] Channel impulse response;

[0321] Power distribution information.

[0322] Optionally, in one embodiment of the present disclosure, the AI ​​positioning-related system message includes at least one positioning system message type.

[0323] Optionally, in one embodiment of the present disclosure, different positioning system message types correspond to different AI-based positioning methods.

[0324] Optionally, in one embodiment of the present disclosure, multiple positioning system message types correspond to the same AI-based positioning method.

[0325] Optionally, in one embodiment of the present disclosure, one positioning message type corresponds to multiple different AI-based positioning methods.

[0326] Step S4103: Periodically receive at least one SIB in the AI ​​positioning-related system message SIB sent by the network device.

[0327] The optional implementation of step S4103 can refer to the optional implementation of step S2110 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0328] Step S4104: Receive SIB1 sent by the network device, where SIB1 carries time information for sending at least one SIB.

[0329] The optional implementation of step S4104 can refer to the optional implementation of step S2112 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0330] Step S4105: Sending a system message SIB to the network device using random access resources;

[0331] Step S4106: Receive SIB information sent by the network device for the system message SIB.

[0332] The optional implementation of steps S4105-S4106 can refer to the optional implementation of steps S2106-S2108 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0333] The communication method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4106. For example, step S4101 may be implemented as an independent embodiment, step S4102 may be implemented as an independent embodiment, and step S4101 + step S4102 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0334] In some embodiments, steps S4103 and 4104 may be executed in an interchanged order or simultaneously.

[0335] In some embodiments, steps S4102 to S4106 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0336] FIG5A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG5A , the embodiment of the present disclosure relates to a message sending method, which includes:

[0337] Step S5101: Send configuration information to the network device, wherein the configuration information is used to instruct the network device to map the configuration information to the corresponding information field in the system message SIB related to artificial intelligence AI positioning.

[0338] The communication method involved in the embodiments of the present disclosure may include at least one of step S5101. For example, step S5101 can be implemented as an independent embodiment. Its optional implementation methods can be found in the optional implementation methods of steps S2101 to S2105 in Figure 2, as well as other related parts of the embodiment involved in Figure 2, and will not be repeated here.

[0339] FIG6A is a flow chart of a message sending method according to an embodiment of the present disclosure. As shown in FIG6A , the embodiment of the present disclosure relates to a message sending method, which includes:

[0340] Step S6101, define system messages related to positioning based on artificial intelligence (AI), and the positioning-related system messages include configuration information for AI-based positioning on the terminal side or the network side.

[0341] Optionally, in one embodiment of the present disclosure, the configuration information includes at least one of the following:

[0342] AI-based positioning methods supported within the cell, such as AI-based direct positioning (using an AI model to directly infer positioning coordinates), AI-based time of arrival (ToA) prediction (using an AI model to infer the arrival time of the signal), and AI-based line of sight (LOS) classification or non-line of sight (NLOS) classification (using an AI model to determine whether the arrival path is LOS or NLOS).

[0343] When the network side performs AI-based reasoning, the data information required to be reported by the terminal may include, for example, data types, including reference signal receiving power (RSRP), channel impulse response, power distribution information, and, for example, the dimensions corresponding to the data type;

[0344] Configuration information for the Sounding Reference Signal (SRS) sent by the terminal when the network performs AI-based reasoning. Or configuration information for the Positioning Reference Signal (PRS) sent by the network when the terminal performs AI reasoning.

[0345] In step S6102, different positioning system message types posSibType may be defined for different AI-based positioning methods. See Table 2 for details.

[0346] In step S6103, multiple posSibTypes may be defined based on the same positioning method. For details, see Table 3.

[0347] Optionally, in one embodiment of the present disclosure, the specific configuration of the information field in the system message may be performed by, for example, a positioning server, which may send these relevant configurations to the corresponding base station. The base station may then map these specific information into the corresponding system message.

[0348] In step S6104, at least one of the system information blocks (SIBs) related to AI positioning may be sent periodically, and the time information of the sending may be indicated in SIB1.

[0349] In step S6105, at least one of the AI ​​positioning-related SIBs may be sent based on a terminal request. That is, when the terminal needs to read the corresponding SIB information, the terminal may use a specific random access resource to request the network to send the SIB containing the AI ​​positioning information it wants to read. When the network receives the terminal information, it may send the requested SIB information.

[0350] The communication method involved in the embodiments of the present disclosure may include at least one of steps S6101 to S6105. For example, step S6101 may be implemented as an independent embodiment, step S6102 may be implemented as an independent embodiment, and step S6102 and step S6105 may be implemented as independent embodiments, but are not limited thereto.

[0351] In some embodiments, step S6102 and step S6103 may be executed in an exchanged order or simultaneously, and step S6102 and step S6105 may be executed in an exchanged order or simultaneously.

[0352] In some embodiments, steps S6102 to S6105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0353] In some embodiments, steps S6103 to S6105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0354] 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 the optional implementations of other embodiments.

[0355] The embodiments of the present disclosure further 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, a core network function node, a core network device, etc.) in any of the above methods.

[0356] It should be understood that the division of the various units or modules in the above device 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 device, 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.

[0357] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can 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 the 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 and implementing 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 (DPU), etc.

[0358] Figure 7A is a structural diagram of the terminal proposed in an embodiment of the present disclosure. As shown in Figure 7A, the network device 7100 may include: a transceiver module 7101. In some embodiments, the above-mentioned transceiver module 7101 is used to send a system message SIB related to artificial intelligence AI positioning to at least one of the terminal and the network device, wherein the system message includes configuration information for AI positioning based on at least one of the terminal and the network device. Optionally, the above-mentioned transceiver module is used to execute at least one of the communication steps such as sending and / or receiving performed by the network device 102 in any of the above methods (for example, step 2102, step 2103, step 2107, step S2108, step S2109, step S2111, but not limited to this), which will not be repeated here.

[0359] FIG7B is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in FIG7B , the terminal 7200 may include: at least one of a transceiver module 7201 and a processing module 7202. The transceiver module 7201 is configured to receive a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning; the processing module 7202 is configured to perform an AI-based positioning operation corresponding to the configuration information. Optionally, the transceiver module is configured to execute at least one of the communication steps such as sending and / or receiving (e.g., step S2104, step S2106, step S2110, step S2112, but not limited thereto) performed by the network device 102 in any of the above methods, which are not described in detail here. Optionally, the processing module 7202 is configured to execute at least one of the communication steps such as sending and / or receiving (e.g., step S2105, but not limited thereto) performed by the network device 102 in any of the above methods, which are not described in detail here.

[0360] Figure 7C is a structural diagram of the positioning server proposed in an embodiment of the present disclosure. As shown in Figure 7C, the positioning server 7300 may include: a transceiver module 7301. In some embodiments, the above-mentioned transceiver module 7301 is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information domain in a system message SIB related to artificial intelligence AI positioning. Optionally, the above-mentioned transceiver module is used to perform at least one of the communication steps such as sending and / or receiving (for example, step S2101, but not limited to this) performed by the positioning server 103 in any of the above methods, which will not be repeated here.

[0361] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0362] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0363] Figure 8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 8100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0364] As shown in Figure 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The communication device 8100 is used to perform any of the above methods.

[0365] In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 may be located outside the communication device 8100.

[0366] 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 transceiver 8103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step 2102, step 2103, step S2104, step S2106, step 2107, step S2108, step S2109, step S2111, step S2110, and step S2112, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S2105, but not limited thereto).

[0367] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter 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.

[0368] In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102. The interface circuit 8104 may be configured to receive signals from the memory 8102 or other devices, and may be configured to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0369] 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. 8A. 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 or 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.

[0370] FIG8B is a schematic diagram of the structure of a chip 8200 according to 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 FIG8B , but the present disclosure is not limited thereto.

[0371] The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

[0372] In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

[0373] In some embodiments, the interface circuit 8202 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step 2102, step 2103, step S2104, step S2106, step 2107, step S2108, step S2109, step S2111, step S2110, step S2112, but not limited to these), and the processor 8201 executes at least one of the other steps (for example, step S2105, but not limited to these).

[0374] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0375] 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.

[0376] The present disclosure also proposes 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 is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a temporary storage medium.

[0377] The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0378] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A message sending method, characterized in that: The method is performed by a network device, and the method includes: Send a system message SIB related to artificial intelligence AI positioning to the terminal, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

2. The method according to claim 1, characterized in that in, The configuration information is used to indicate support for at least one of the following positioning methods: AI-based direct positioning method; AI-based arrival time ToA prediction method; AI-based direct path LOS classification or indirect path NLOS classification method.

3. The method according to claim 1, characterized in that in, The configuration information includes at least one of the following: Data information sent by the terminal; Configuration information of a channel sounding reference signal SRS sent by the terminal; Configuration information of a positioning reference signal PRS sent by the network device.

4. The method according to claim 3, characterized in that in, The data information includes at least one of the following: Data type; The dimension corresponding to the data type.

5. The method according to claim 4, characterized in that in, The data type includes at least one of the following: Reference signal received power RSRP; Channel impulse response; Power distribution information.

6. The method according to any one of claims 1 to 5, characterized in that: The AI ​​positioning-related system message includes at least one positioning system message type.

7. The method according to claim 6, characterized in that in, Different positioning system message types correspond to different AI-based positioning methods.

8. The method according to claim 6, characterized in that in, Multiple positioning system message types correspond to the same AI-based positioning method.

9. The method according to claim 6, characterized in that in, One positioning message type corresponds to multiple different AI-based positioning methods.

10. The method according to any one of claims 1 to 9, characterized in that: The method further comprises: Receive configuration information sent by the positioning server; The configuration information is mapped to a corresponding information field in the system message.

11. The method according to claim 1, characterized in that The sending of a system message SIB related to artificial intelligence AI positioning to the terminal includes: Receiving a system message SIB sent by the terminal using random access resources; Send a system message related to artificial intelligence AI positioning based on the system message SIB to the terminal.

12. The method according to claim 1, characterized in that The sending of a system message SIB related to artificial intelligence AI positioning to the terminal includes: Periodically sending at least one SIB in the positioning-related system message SIB to the terminal.

13. The method according to claim 12, characterized in that The method further comprises: Sending SIB1 to the terminal, wherein the SIB1 carries time information for sending the at least one SIB.

14. A message receiving method, characterized in that: The method is executed by a terminal, and includes: Receiving a system message SIB related to artificial intelligence (AI) positioning sent by a network device, wherein the system message includes configuration information for performing AI-based positioning on at least one of the terminal and the network device; Perform an AI-based positioning operation corresponding to the configuration information.

15. The method according to claim 14, characterized in that in, The configuration information is used to indicate support for at least one of the following positioning methods: AI-based direct positioning method; AI-based arrival time ToA prediction method; AI-based direct path LOS classification or indirect path NLOS classification method.

16. The method according to claim 14, characterized in that in, The configuration information includes at least one of the following: Data information sent by the terminal; Configuration information of a channel sounding reference signal SRS sent by the terminal; Configuration information of a positioning reference signal PRS sent by the network device.

17. The method according to claim 16, characterized in that in, The data information includes at least one of the following: Data type; The dimension corresponding to the data type.

18. The method according to claim 17, characterized in that in, The data type includes at least one of the following: Reference signal received power RSRP; Channel impulse response; Power distribution information.

19. The method according to any one of claims 14 to 18, characterized in that The AI ​​positioning-related system message includes at least one positioning system message type.

20. The method of claim 19, wherein: in, Different positioning system message types correspond to different AI-based positioning methods.

21. The method of claim 19, wherein: in, Multiple positioning system message types correspond to the same AI-based positioning method.

22. The method of claim 19, wherein: in, One positioning message type corresponds to multiple different AI-based positioning methods.

23. The method according to any one of claims 14 to 22, characterized in that The receiving network device sends a system message SIB related to artificial intelligence AI positioning, including: Periodically receive at least one SIB in the system message SIB related to AI positioning based on the network device.

24. The method of claim 23, wherein: The method further comprises: Receive SIB1 sent by the network device, wherein the SIB1 carries time information for sending the at least one SIB.

25. The method according to any one of claims 14 to 22, characterized in that The method further comprises: Sending a system message SIB to the network device using random access resources; Receive SIB information sent by the network device for the system message SIB.

26. A message sending method, characterized in that: The method is performed by a positioning server, and the method includes: Send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence (AI) positioning.

27. A network device, characterized in that: The device comprises: A transceiver module is used to send a system message SIB related to artificial intelligence AI positioning to at least one of a terminal and a network device, wherein the system message includes configuration information for AI-based positioning of at least one of the terminal and the network device.

28. A terminal, characterized in that: The device comprises: A transceiver module, used to receive a system message SIB related to artificial intelligence AI positioning sent by a network device, wherein the system message includes configuration information for the terminal to perform AI-based positioning; A processing module is used to perform an AI-based positioning operation corresponding to the configuration information.

29. A positioning server, characterized in that: The device comprises: A transceiver module is used to send configuration information to a network device, wherein the configuration information is used to instruct the network device to map the configuration information to a corresponding information field in a system message SIB related to artificial intelligence AI positioning.

30. A network device, characterized in that: include: one or more processors; The terminal is used to execute the message sending method according to any one of claims 1 to 13.

31. A terminal, characterized in that: include: one or more processors; Wherein, the terminal is used to execute the message sending method described in claims 14 to 25.

32. A positioning server, characterized in that: include: one or more processors; Wherein, the terminal is used to execute the message sending method described in claim 26.

33. A communication system, characterized in that: It includes a terminal, a network device and a positioning server, wherein the network device is configured to implement the message sending method described in any one of claims 1 to 13, the terminal is configured to implement the message sending method described in claims 14 to 25, and the positioning server is configured to implement the message sending method described in claim 26.

34. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device executes the message sending method according to any one of claims 1 to 13, the message sending method according to claims 14 to 25, or the message sending method according to claim 26.