Information transmission method and apparatus

By obtaining auxiliary information to indicate the measurement quantity requirements, ensuring that the AI/ML model uses the measurement quantity in a unified format during the life cycle management process, solving the performance degradation caused by inconsistent formats in AI positioning and improving the performance of AI positioning.

WO2025167447A1PCT designated stage Publication Date: 2025-08-14DATANG MOBILE COMM EQUIP CO LTD
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Patent Information

Application Number
PCT/CN2025/071265
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-02-06
Filing Date
2025-01-08
Publication Date
2025-08-14

AI Technical Summary

Technical Problem

In AI positioning, due to the inconsistent format of measurement quantities sent by different devices, the AI/ML model training and inference performance are degraded.

Method used

By obtaining auxiliary information to indicate the requirements that the measurement quantity needs to be met, ensuring the measurement quantity format is consistent, so that the measurement quantity in a unified format is used in the life cycle management of the AI/ML model to improve model training and inference performance.

Benefits of technology

The consistency of measurement quantity formats in the life cycle management of the AI/ML model is achieved, and the performance of AI positioning is improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides an information transmission method and apparatus. The method of the embodiments of the present disclosure comprises: acquiring first auxiliary information, the first auxiliary information being used for indicating requirement information that a measurement quantity is required to meet, the measurement quantity being a measurement quantity related to an input of a first object, and the first object comprising a first AI / ML model and / or a first AI / ML method; and determining the first measurement quantity on the basis of the first auxiliary information.
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Description

Information transmission method and device

[0001] This disclosure claims priority to the Chinese patent application filed with the China Patent Office on February 6, 2024, with application number 202410170508.X and application name “Information Transmission Method and Device,” the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of communication technology, and in particular to an information transmission method and device. Background Art

[0003] With the development of artificial intelligence (AI) and machine learning (ML), AI / ML models are being used in related technologies to improve communication system performance. For AI positioning, AI / ML models can be deployed on the user equipment / terminal (UE), the next generation Node B (gNB), and the location management function (LMF). When the AI ​​model is deployed on the LMF, the UE / gNB determines measurement quantities through measurement, which are then sent to the LMF. The LMF then determines the input for the AI / ML model based on the received measurement quantities. However, the measurement quantities collected by the LMF may come from multiple UEs / gNBs, and the formats or requirements of the measurement quantities sent by multiple UEs / gNBs may not be consistent. Training the AI / ML model based on measurement quantities with inconsistent formats will affect the performance of AI positioning. Alternatively, during model inference / model update / model monitoring, if the AI / ML model is deployed on the UE side / gNB side, in the absence of some prior information or auxiliary information, the format of the measurement quantity determined by the UE / gNB may be inconsistent with the format of the measurement quantity used to determine the AI / ML model input during the model training phase. In this case, the performance of AI positioning will also be affected. Summary of the Invention

[0004] The purpose of the present disclosure is to provide an information transmission method and device to solve the problem of how to improve the performance of AI positioning.

[0005] To achieve the above objectives, the present disclosure provides an information transmission method, which is performed by a first communication device, and the method includes:

[0006] Obtaining first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0007] A first measurement quantity is determined according to the first auxiliary information.

[0008] In some embodiments, the method further comprises:

[0009] sending the first measurement value to a second communication device;

[0010] Alternatively, the input of the first object is determined according to the first measurement quantity.

[0011] In some embodiments, the method further comprises:

[0012] A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0013] In some embodiments, the first auxiliary information includes at least one of the following:

[0014] How the measured quantity is sent;

[0015] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0016] the number of said target objects in the measurement volume;

[0017] the maximum number of said target objects in the measurement volume;

[0018] the minimum number of target objects in the measurement volume;

[0019] a determination rule for the target object in the measurement quantity;

[0020] a first reference time of time information corresponding to the target object in the measurement;

[0021] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0022] The time interval between two adjacent target objects in the measurement quantity;

[0023] The maximum number of consecutive target objects included in the measurement.

[0024] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0025] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0026] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0027] determining a target object in the measurement quantity according to the same time interval;

[0028] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0029] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0030] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0031] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0032] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0033] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0034] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0035] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0036] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0037] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0038] In some embodiments, the indicator type includes at least one of the following:

[0039] Time indicator;

[0040] Signal power index;

[0041] Signal interference strength indicator;

[0042] Signal quality indicators;

[0043] Line of Sight (LOS) / Non-Line of Sight (NLOS) indicator.

[0044] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0045] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0046] The present disclosure also provides an information transmission method, which is performed by a second communication device. The method includes:

[0047] Send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0048] In some embodiments, the method further comprises:

[0049] Acquire a first measurement value sent by a first communication device;

[0050] An input of a first object is determined based on the first measurement.

[0051] In some embodiments, the method further comprises:

[0052] A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

[0053] In some embodiments, the first auxiliary information includes at least one of the following:

[0054] How the measured quantity is sent;

[0055] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0056] the number of said target objects in the measurement volume;

[0057] the maximum number of said target objects in the measurement volume;

[0058] the minimum number of target objects in the measurement volume;

[0059] a determination rule for the target object in the measurement quantity;

[0060] a first reference time of time information corresponding to the target object in the measurement;

[0061] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0062] The time interval between two adjacent target objects in the measurement quantity;

[0063] The maximum number of consecutive target objects included in the measurement.

[0064] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0065] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0066] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0067] determining a target object in the measurement quantity according to the same time interval;

[0068] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0069] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0070] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0071] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0072] In some embodiments, the target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

[0073] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0074] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0075] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0076] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0077] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0078] In some embodiments, the indicator type includes at least one of the following:

[0079] Time indicator;

[0080] Signal power index;

[0081] Signal interference strength indicator;

[0082] Signal quality indicators;

[0083] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0084] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0085] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0086] The embodiment of the present disclosure further provides an information transmission device, including a memory, a transceiver, and a processor;

[0087] A memory for storing a computer program; a transceiver for transmitting and receiving data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:

[0088] Obtaining first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0089] A first measurement quantity is determined according to the first auxiliary information.

[0090] In some embodiments, the processor further implements the following steps:

[0091] sending the first measurement value to a second communication device;

[0092] Alternatively, the input of the first object is determined according to the first measurement quantity.

[0093] In some embodiments, the processor further implements the following steps:

[0094] A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0095] In some embodiments, the first auxiliary information includes at least one of the following:

[0096] How the measured quantity is sent;

[0097] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0098] the number of said target objects in the measurement volume;

[0099] the maximum number of said target objects in the measurement volume;

[0100] the minimum number of target objects in the measurement volume;

[0101] a determination rule for the target object in the measurement quantity;

[0102] a first reference time of time information corresponding to the target object in the measurement;

[0103] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0104] The time interval between two adjacent target objects in the measurement quantity;

[0105] The maximum number of consecutive target objects included in the measurement.

[0106] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0107] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0108] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0109] determining a target object in the measurement quantity according to the same time interval;

[0110] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0111] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0112] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0113] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0114] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0115] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0116] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0117] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0118] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0119] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0120] In some embodiments, the indicator type includes at least one of the following:

[0121] Time indicator;

[0122] Signal power index;

[0123] Signal interference strength indicator;

[0124] Signal quality indicators;

[0125] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0126] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0127] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0128] The embodiment of the present disclosure further provides an information transmission device, including a memory, a transceiver, and a processor;

[0129] A memory for storing a computer program; a transceiver for transmitting and receiving data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:

[0130] Send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0131] In some embodiments, the processor further implements the following steps:

[0132] Acquire a first measurement value sent by a first communication device;

[0133] An input of a first object is determined based on the first measurement.

[0134] In some embodiments, the processor further implements the following steps:

[0135] A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

[0136] In some embodiments, the first auxiliary information includes at least one of the following:

[0137] How the measured quantity is sent;

[0138] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0139] the number of said target objects in the measurement volume;

[0140] the maximum number of said target objects in the measurement volume;

[0141] the minimum number of target objects in the measurement volume;

[0142] a determination rule for the target object in the measurement quantity;

[0143] a first reference time of time information corresponding to the target object in the measurement;

[0144] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0145] The time interval between two adjacent target objects in the measurement quantity;

[0146] The maximum number of consecutive target objects included in the measurement.

[0147] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0148] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0149] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0150] determining a target object in the measurement quantity according to the same time interval;

[0151] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0152] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0153] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0154] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0155] In some embodiments, the target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

[0156] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0157] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0158] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0159] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0160] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0161] In some embodiments, the indicator type includes at least one of the following:

[0162] Time indicator;

[0163] Signal power index;

[0164] Signal interference strength indicator;

[0165] Signal quality indicators;

[0166] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0167] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0168] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0169] The present disclosure also provides an information transmission device, including:

[0170] a first acquiring unit, configured to acquire first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to satisfy, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0171] The first determining unit is configured to determine a first measurement value according to the first auxiliary information.

[0172] The present disclosure also provides an information transmission device, including:

[0173] A first sending unit is used to send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, and the measurement quantity is a measurement quantity related to the input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0174] The present disclosure also provides an information transmission method, which is performed by a first communication device. The method includes:

[0175] A measurement quantity and second auxiliary information corresponding to the measurement quantity are sent to a second communication device, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0176] In some embodiments, the second auxiliary information includes at least one of the following:

[0177] How the measured quantity is sent;

[0178] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0179] the number of said target objects in the measurement volume;

[0180] the maximum number of said target objects in the measurement volume;

[0181] the minimum number of target objects in the measurement volume;

[0182] a determination rule for the target object in the measurement quantity;

[0183] a first reference time of time information corresponding to the target object in the measurement;

[0184] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0185] The time interval between two adjacent target objects in the measurement quantity;

[0186] The maximum number of consecutive target objects included in the measurement.

[0187] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0188] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0189] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0190] determining a target object in the measurement quantity according to the same time interval;

[0191] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0192] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0193] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0194] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0195] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0196] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0197] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0198] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0199] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0200] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0201] In some embodiments, the indicator type includes at least one of the following:

[0202] Time indicator;

[0203] Signal power index;

[0204] Signal interference strength indicator;

[0205] Signal quality indicators;

[0206] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0207] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0208] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0209] The present disclosure also provides an information transmission method, which is performed by a second communication device. The method includes:

[0210] Obtaining a measurement quantity and second auxiliary information corresponding to the measurement quantity, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, wherein the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0211] An input of the first object is determined according to the second auxiliary information corresponding to the measurement quantity.

[0212] An embodiment of the present disclosure further provides a processor-readable storage medium, wherein the processor-readable storage medium stores a computer program, and the computer program is used to enable the processor to execute the steps of the information transmission method described above.

[0213] The embodiment of the present disclosure further provides a computer program product, including computer instructions, which implement the steps of the above-mentioned information transmission method when executed by a processor.

[0214] The above technical solution disclosed in the present invention has at least the following beneficial effects:

[0215] In an embodiment of the present disclosure, first auxiliary information is obtained, where the first auxiliary information is used to indicate requirement information that a measurement quantity must meet. Based on the first auxiliary information, a first measurement quantity that meets the requirement information indicated by the first auxiliary information can be determined. Subsequently, various processes in the lifecycle management of an AI / ML model or an AI / ML method, such as an AI / ML model training process and an AI / ML model inference process, can be performed based on the first measurement quantity that meets the specific requirement information (i.e., a first measurement quantity with unified format information). That is, the format of the measurement quantity in each process is ensured to be consistent, thereby effectively improving the inference performance of the AI / ML model or the AI / ML method, and further improving the performance of AI positioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0216] FIG1 is a structural diagram of a network system to which the embodiments of the present disclosure may be applied;

[0217] FIG2 shows a schematic diagram of a flow chart of an information transmission method according to an embodiment of the present disclosure;

[0218] FIG3 shows a second flow chart of the information transmission method according to an embodiment of the present disclosure;

[0219] FIG4 shows one structural block diagram of the information transmission device according to an embodiment of the present disclosure;

[0220] FIG5 shows a second structural block diagram of the information transmission device according to an embodiment of the present disclosure;

[0221] FIG6 shows one of the module schematic diagrams of the information transmission device according to an embodiment of the present disclosure;

[0222] FIG. 7 shows a second schematic diagram of modules of the information transmission device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0223] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present disclosure without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0224] The terms "first," "second," and the like in the specification and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a particular order or sequential sequence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the present disclosure described herein may be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions, e.g., a process, method, system, product, or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products, or apparatus.

[0225] In the embodiments of the present disclosure, the term "and / or" describes the relationship between associated objects, indicating that three possible relationships exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship. In the embodiments of the present disclosure, the term "plurality" refers to two or more, and other quantifiers are similar.

[0226] In the embodiments of the present disclosure, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present disclosure should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0227] FIG1 shows a block diagram of a wireless communication system applicable to embodiments of the present disclosure. The wireless communication system includes a terminal device 11 and a network-side device (or network device) 12. The terminal device 11 may also be referred to as a terminal or a user equipment (UE). It should be noted that the specific type of the terminal 11 is not limited in the embodiments of the present disclosure. The network-side device 12 may be a base station or a core network. It should be noted that the embodiments of the present disclosure only take a base station in a New Radio (NR) system as an example, but the specific type of the base station is not limited.

[0228] In order to enable those skilled in the art to better understand the embodiments of the present disclosure, the following description is first given.

[0229] Wireless communication systems present numerous challenges: nonlinear problems, the time complexity of calculating optimal solutions, some problems that are difficult to accurately describe using formulas or models, the accumulation of errors between different modules in the wireless link, which prevents overall optimization, and the increasing difficulty of optimizing due to non-ideal factors in real applications. AI / ML has demonstrated remarkable capabilities in Internet fields such as image recognition and speech recognition. Currently, both academic research and the 3rd Generation Partnership Project (3GPP) are exploring the capabilities of AI / ML in wireless communication systems. Research on AI / ML began in NR Release 17. NR Release 18 will further explore the potential of AI / ML at the air interface physical layer, for example, to improve performance metrics such as throughput, accuracy, reliability, and robustness, and to reduce resource overhead.

[0230] For AI positioning, the AI / ML model directly outputs the UE's position in direct AI / ML positioning, while it outputs intermediate measurements, such as the time of arrival (ToA), in AI / ML assisted positioning. For AI positioning, the AI / ML model can be deployed on the UE, gNB, or LMF side. When deployed on the UE / gNB side, the UE / gNB determines the measurement quantity by measuring the downlink positioning reference signal (DL-PRS) and the uplink sounding reference signal (UL-SRS) used for positioning. The uplink positioning sounding reference signal used for positioning can also be described as UL-SRS-pos, and then determines the input of the AI / ML model based on the measurement quantity. When deployed on the LMF side, the UE / gNB determines the measurement quantity by measuring the DL-PRS / UL-SRS-pos, and sends the measurement quantity to the LMF. The LMF determines the input of the AI / ML model based on the received measurement quantity.

[0231] In the lifecycle management of AI / ML models or AI / ML functions, processes such as data collection, model training, model inference, and model monitoring all require collecting / determining the input of the AI / ML model. At this time, some auxiliary information is needed to help better understand the format or requirements of the AI / ML model input.

[0232] When the AI ​​model performs inference, the input of the AI ​​model can be the channel-related information / measurement quantity obtained by the UE measuring the DL-PRS sent by the Transmission-Reception Point (TRP); or, the input of the AI ​​model can be the channel-related information / measurement quantity obtained by the TRP measuring the UL-SRS-pos sent by the UE, and the output of the AI / ML model can be the UE position or an intermediate quantity used to determine the UE position. Channel-related information can be a channel impulse response (CIR) or a channel frequency response (CFR) or a power delay profile (PDP) or a delay profile (DP), etc.

[0233] For AI positioning, the first implementation method in the related technology is: the AI ​​model is deployed on the UE side, and the output of the AI ​​model is an intermediate quantity used to determine the UE position (AI / ML assisted positioning). The AI ​​model output can be ToA, Reference Signal Time Difference (RSTD), etc., or the output of the AI ​​model is the UE position. The second implementation method is: the AI ​​model is deployed on the gNB / TRP side, and the output of the AI ​​model is an intermediate quantity used to determine the UE position (AI / ML assisted positioning). The AI ​​model output can be ToA, Relative Time of Arrival (RToA), etc. The third implementation method is to deploy the AI / ML model on the LMF side.

[0234] For the first implementation method mentioned above, the AI / ML model is deployed on the UE side. The UE determines the measurement quantity by measuring the DL-PRS, and then determines the input of the AI / ML model based on the measurement quantity. For the second implementation method, the AI / ML model is deployed on the gNB / TRP side. The gNB / TRP determines the measurement quantity by measuring the UL-SRS-pos, and then determines the input of the AI / ML model based on the measurement quantity. For the third implementation method, the UE / gNB / TRP determines the measurement quantity by measuring the DL-PRS / UL-SRS-pos, and then sends the measurement quantity to the LMF to determine the input of the AI / ML model.

[0235] When the AI ​​model is deployed on the LMF side, the UE / Positioning Reference Unit (PRU) / gNB determines measurement quantities through measurement. The UE / PRU / gNB sends these measurement quantities to the LMF, which then determines the inputs for the AI / ML model based on the received measurement quantities. However, the measurement quantities collected by the LMF may come from multiple UEs / PRUs / gNBs. These measurement quantities may not be in the same format or meet the same requirements. Training the AI / ML model based on these inconsistent measurement quantities can affect the performance of AI positioning.

[0236] The measurement quantities used in related technologies mainly include CIR, PDP, and DP. CIR mainly includes time information, power information, and phase information related to the channel response; PDP mainly includes time information and power information related to the channel response; and DP mainly includes time information related to the channel response.

[0237] CIR can be presented in the following ways: CIR can include power and phase information at continuous time sampling points related to channel response; CIR can also include only the time sample points with the strongest power related to the channel response and the power and phase information at these sample points (sample); CIR can also include power and phase information corresponding to several paths related to the channel response, etc.

[0238] PDP can be presented in the following ways: PDP can include power information at continuous time sampling points related to channel response; PDP can also include only the time sample points with the strongest power related to channel response and the power information at these sample points; PDP can also include time information and power information corresponding to several paths related to channel response, etc.

[0239] DP can be presented in the following ways: DP can include continuous time sampling points related to channel response, for example, by representing time information by 0 or 1 on continuous time sampling points; DP can also include only the time information corresponding to the time sample point with the strongest power related to the channel response; DP can also include time information corresponding to several paths related to the channel response, etc.

[0240] Here, sample is a time domain sampling point obtained by sampling the time domain channel response according to the sampling frequency / sampling interval, etc., and path is a path determined according to the peak value of the time domain channel response.

[0241] The information transmission method provided by the embodiment of the present disclosure is described in detail below through some embodiments and their application scenarios in conjunction with the accompanying drawings.

[0242] As shown in Figure 2, an embodiment of the present disclosure provides an information transmission method, which is performed by a first communication device, the first communication device including a terminal or a network side device (such as a base station) or an LMF, and the method includes:

[0243] Step 201: Obtain first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method (or a first AI / ML function).

[0244] In some embodiments, the measurement quantity of the embodiments of the present disclosure includes at least one of the following: channel impulse response CIR; power delay profile PDP; delay profile DP.

[0245] In some embodiments, step 201 includes acquiring first auxiliary information sent by a second communication device, where the second communication device includes a LMF or a third-party entity or a terminal.

[0246] Step 202: Determine a first measurement quantity according to the first auxiliary information.

[0247] The first measurement quantity is a measurement quantity that satisfies the requirement information indicated by the first auxiliary information.

[0248] In an embodiment of the present disclosure, first auxiliary information is obtained, where the first auxiliary information is used to indicate requirement information that a measurement quantity must meet. Based on the first auxiliary information, a first measurement quantity that meets the requirement information indicated by the first auxiliary information can be determined. Subsequently, various processes in the lifecycle management of an AI / ML model or an AI / ML method, such as an AI / ML model training process and an AI / ML model inference process, can be performed based on the first measurement quantity that meets the specific requirement information (i.e., a first measurement quantity with unified format information). That is, the format of the measurement quantity in each process is ensured to be consistent, thereby effectively improving the inference performance of the AI / ML model or the AI / ML method, and further improving the performance of AI positioning.

[0249] In some embodiments, the method of the present disclosure further includes:

[0250] sending the first measurement value to a second communication device;

[0251] Alternatively, the input of the first object is determined according to the first measurement quantity.

[0252] The above-mentioned second communication device can be an LMF or a third-party entity. By sending the first measurement quantity to the second communication device, the second communication device can determine the input of the first object based on the first measurement quantity in a unified format, and then the second communication device can use the measurement quantity in a unified format for model training, thereby effectively improving the performance of model reasoning.

[0253] The above-mentioned second communication device may be a terminal, and the first communication device may be an LMF or a third-party entity. When the terminal collects data, the first communication device obtains the first auxiliary information sent by the second communication device, so that the first communication device can determine the required information that the measurement quantity needs to meet through the first auxiliary information. Here, the first communication device may send the obtained first auxiliary information to the PRU, the positioning reference unit determines the first measurement quantity based on the first auxiliary information and sends the determined first measurement quantity to the first communication device, and the first communication device sends the first measurement quantity to the second communication device; or the first communication device obtains the measurement quantity sent by the positioning reference unit, the first communication device determines the first measurement quantity that meets the required information among the measurement quantities based on the first auxiliary information, and the first communication device sends the first measurement quantity to the second communication device.

[0254] The above-mentioned second communication device can be a terminal, and the first communication device can be a positioning reference unit. When the terminal collects data, the first communication device obtains the first auxiliary information sent by the second communication device, so that the first communication device can determine the required information that the measurement amount needs to meet through the first auxiliary information, and determine the first measurement amount based on the first auxiliary information. The first communication device sends the first measurement amount to the second communication device.

[0255] By determining the input of the first object based on the first measurement quantity, the first communication device can use the measurement quantity in a unified format in each process of the lifecycle management of the AI / ML model or AI / ML method, thereby effectively improving the reasoning performance of the AI / ML model or AI / ML method.

[0256] In some embodiments, the method of the present disclosure further includes:

[0257] A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0258] In the embodiments of the present disclosure, in addition to transmitting a first measurement metric that meets the requirements indicated by the first assistance information, a first communications device may also transmit a second measurement metric that does not meet the requirements indicated by the first assistance information, and simultaneously transmit requirement information that the second measurement metric meets, so that the second communications device can determine a format or requirement information related to the second measurement metric based on the requirement information. The specific content of the requirement information may refer to the content of the requirement information indicated by the first assistance information.

[0259] In some embodiments, the first auxiliary information includes at least one of the following:

[0260] The first item: the method of sending the measured quantity;

[0261] The transmission mode may include a path-based transmission mode or a sample-based transmission mode, or both the path-based transmission mode and the sample-based transmission mode are supported, and the specific transmission mode to be used is determined by the first communication device itself;

[0262] The second item: the maximum time range corresponding to the target object in the measurement, where the target object includes at least one of a path and a sample point.

[0263] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0264] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0265] The third item: the number of target objects in the measurement volume.

[0266] For example, the first auxiliary information indicates that the number of paths in the measurement quantity is M, where M is an integer.

[0267] The fourth item: the maximum number of target objects in the measurement volume.

[0268] Fifth item: the minimum number of target objects in the measurement.

[0269] For example, the second communications device indicates the minimum number of sample points whose RSRP is not equal to 0 included in the measurement amount sent by the first communications device.

[0270] Item 6: Rules for determining the target object in the measurement quantity.

[0271] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0272] A1: Determine the target object in the measurement quantity according to the same time interval.

[0273] In the embodiment of the present disclosure, the first communication device determines at least one target object in the measurement quantity at equal time intervals. That is, after determining the first target object, the first communication device then determines a second target object that is at the same time interval from the first target object, then determines a third target object that is at the same time interval from the second target object, and so on. That is, the time intervals between two adjacent target objects in the measurement quantity are the same.

[0274] In some embodiments, the time interval is indicated by the second communication device or agreed upon by a protocol.

[0275] A2: Determine the target object in the measurement value according to the indicator type indicated by the second communication device or agreed upon by the protocol.

[0276] The indicator type includes at least one of the following: time indicator; signal power indicator; signal interference strength indicator; signal quality indicator; Line of Sight (LOS) / Non-Line of Sight (NLOS) indication indicator.

[0277] A3: Determine the target object in the measurement value according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer.

[0278] The first time range is indicated by the second communication device or agreed upon by a protocol. In some embodiments, the power may be represented by Reference Signal Received Path Power (RSRPP) or Reference Signal Received Power (RSRP).

[0279] A4: Determine the target object in the measurement value according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer.

[0280] At least one of the second time range and the RSRPP threshold is indicated by the second communications device or agreed upon by a protocol.

[0281] A5: Determine the target object in the measurement value according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0282] Item 7: a first reference time of the time information corresponding to the target object in the measurement.

[0283] The first reference time is a reference time when the time information of the target object in the measurement amount is determined.

[0284] The first reference time is indicated by the second communication device or agreed upon by a protocol.

[0285] Item 8: Deviation information between the time information corresponding to the target object in the measurement and the first reference time.

[0286] For example, the difference between the time point of the first sample point in the measurement quantity and the first reference time satisfies the deviation information, such as being smaller than the deviation value.

[0287] Item 9: The time interval between two adjacent target objects in the measurement;

[0288] Item 10: The maximum number of consecutive target objects included in the measurement.

[0289] For example, when the number of continuous target objects included in the measurement is X, LMF indicates the maximum value of X.

[0290] In some embodiments of the present disclosure, the power information and / or phase information corresponding to the target object meets the first value and / or the first requirement;

[0291] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0292] The above-mentioned first value, first range or first threshold is indicated by the second communication device or agreed upon by a protocol.

[0293] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0294] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0295] determining at least one of the first target object and the second target object based on a third time range that a time difference between the first target object and the second target object needs to satisfy; the third time range is indicated by the second communication device or agreed upon by a protocol; for example, the third time range includes a maximum value and / or a minimum value of the time difference;

[0296] Determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy; the fourth time range is indicated by the second communication device or agreed upon by a protocol; for example, the fourth time range includes a maximum value and / or a minimum value of the time difference;

[0297] At least one of the first target object and the second target object is determined based on a first power range that the power difference between the first target object and the second target object needs to meet; the first power range is indicated by the second communication device or agreed upon by the protocol; for example, the first power range includes the maximum value and / or minimum value that the power difference needs to meet.

[0298] The second target object is determined based on a second power range that a power difference between two adjacent second target objects must meet. The second power range is indicated by the second communication device or agreed upon in a protocol. For example, the second power range includes a maximum value and / or a minimum value that the power difference must meet.

[0299] In the solution of the embodiments of the present disclosure, first auxiliary information is sent to the first communication device by the second communication device, so that the first communication device can obtain a first measurement quantity that meets the requirements indicated by the first auxiliary information. Subsequently, the measurement quantity in a unified format can be used in various processes in the lifecycle management of the AI / ML model or AI / ML method, thereby effectively improving the reasoning performance of the AI / ML model or AI / ML method, and thus improving the performance of AI positioning.

[0300] The information transmission method disclosed herein is described below with reference to embodiments.

[0301] Example 1:

[0302] The LMF / third-party entity collects data, which may be used for model training / model inference / model update / model monitoring. The LMF / third-party entity provides first assistance information to help the UE / gNB / PRU determine the measurement value. The UE / gNB / PRU sends the determined measurement value to the LMF.

[0303] The process specifically includes:

[0304] Step 1: The LMF / third-party entity sends first auxiliary information to the UE / gNB / PRU. The first auxiliary information is information indicating the requirements that the measurement quantity needs to meet.

[0305] The AI / ML model can be deployed on the UE, gNB, or LMF. If the model is deployed on the LMF, the UE / gNB / PRU sends the obtained measurement parameters to the LMF / third-party entity. The LMF / third-party entity then sends first assistance information to the UE / gNB / PRU to help the UE / gNB determine the measurement parameters. These measurement parameters can include CIR, PDP, DP, RSTD, RToA, and so on.

[0306] Step 2: The UE / gNB / PRU determines a first measurement quantity based on the first assistance information and sends the first measurement quantity to the LMF or a third-party entity. The following two methods can be considered to send the measurement quantity to the LMF:

[0307] Method 1: Send CIR / PDP / DP and other measurement quantities based on the legacy path method. In this case, enhancements are made to the legacy method.

[0308] Method 2: Send CIR / PDP / DP and other measurement quantities based on samples;

[0309] In this case, how to determine whether to send per-path or per-sample measurements may support the following solutions:

[0310] Solution 1: The protocol supports only one measurement value sending method: per path or per sample.

[0311] Solution 2: The protocol supports multiple measurement sending methods, including per path and per sample:

[0312] Specifically, the LMF / third-party entity indicates a measurement quantity sending method, and the UE / gNB / PRU sends it based on the LMF's instruction; or, when the UE / gNB / PRU sends the measurement quantity, there is additional indication information indicating the specific sending method.

[0313] For mode 1, when sending measurement values ​​based on the path, the first auxiliary information that the LMF / third-party entity needs to provide includes at least one of the following:

[0314] B1: The maximum time range corresponding to the N't paths included in the measurement quantity. In this case, the maximum time range is the maximum time range between the time corresponding to the first path and the time corresponding to the N't path among the N't paths; or, the maximum time range corresponding to any path among the N't paths relative to a reference time point. Here, the reference time point can be determined by the UE / gNB / PRU or indicated by the LMF / third-party entity.

[0315] B2: The interval between any two adjacent samples in the time domain is the same. When the time domain information of the measurement quantity related to the AI / ML model input is sample-based, the LMF side may map the time information of N't paths sent to the time domain samples (for example, to Nt samples). The time information corresponding to the samples should have a certain range when uniformly collecting data. In this case, the interval between any two adjacent samples in the time domain is equal, that is, the samples are equally spaced.

[0316] B3: The number of N't paths included in the measurement;

[0317] B4: The maximum and / or minimum number of N't paths included in the measurement;

[0318] B5: The time interval corresponding to the time domain samples included in the measurement quantity. The UE / gNB needs to limit the interval step size or interval granularity of the time information of the measurement quantity sent by the path to an integer multiple of the time interval corresponding to the time domain samples indicated by the LMF to ensure that the path can be accurately mapped to the sample points. In related technologies, the variable Tc = (1 / (4096*480e3)). The time interval indicated by the LMF can be in units of Tc, for example, the time interval is 2^n*Tc.

[0319] B6: LMF side indicates the determination rule of N't paths:

[0320] (a) N't paths are N't paths with equal intervals, and the LMF indication / protocol stipulates the interval;

[0321] (b) Indicator type of the N't paths: The UE / gNB / PRU determines the N't paths based on the indicator type. The indicator type includes at least one of the following: a time indicator, a signal energy indicator, a signal interference strength indicator, and a LOS / NLOS indicator.

[0322] (c) N't paths are the N't paths with the strongest RSRPP within the first time range;

[0323] (d) N't paths are the N't paths whose RSRPP exceeds the RSRPP threshold within the second time range;

[0324] (d) The minimum time interval that needs to be satisfied by two adjacent N't paths, i.e., the time corresponding to two adjacent paths needs to exceed this minimum time interval to prevent the UE from continuously sending multiple paths with consecutive RSRPP strong times very close to each other;

[0325] (f) Requirements and restrictions between the first target object (first path) and the second target object (additional path), or requirements and restrictions between the second target objects, specifically including at least one of the following:

[0326] (f1) The difference between the time corresponding to the additional path and the time corresponding to the first path needs to satisfy a third time range, for example, the time range includes the maximum and minimum values ​​of the difference;

[0327] (f2) a fourth time range that the time difference between adjacent additional paths must satisfy;

[0328] (f3) a first energy range (or first power range) that the difference between the energy corresponding to the additional path and the energy corresponding to the first path must satisfy. For example, the energy range includes a maximum value and a minimum value of the difference.

[0329] (f4) A second energy range (second power range) that the time difference between adjacent additional path energies must satisfy.

[0330] For mode 2, when sending measurement values ​​based on samples, the LMF / third-party entity needs to provide at least one of the following first auxiliary information:

[0331] C1: The time interval between two adjacent samples in the Nt samples included in the measurement;

[0332] C2: The number of Nt samples included in the measurement;

[0333] C3: The maximum time range corresponding to Nt samples included in the measurement;

[0334] C4: The minimum number of N't samples included in the measurement quantity, for example, the minimum number of samples with non-zero RSRPP values ​​included in the measurement quantity sent by the UE / gNB.

[0335] C5: the reference time point (first reference time) and / or the deviation (deviation information) relative to the reference time point when the time information corresponding to the measurement quantity is determined. For example, the difference between the time point corresponding to the first sample included in the measurement quantity and the reference time point meets the above deviation.

[0336] C6: Rules for determining N't samples:

[0337] The determination rule of LMF indicating N't paths is similar to that in the above method 1, except that path is changed to sample;

[0338] C7: When the consecutive samples included in N't samples are X, LMF indicates the maximum value of X.

[0339] It should be noted that when the LMF / third-party entity provides first assistance information, the UE / gNB / PRU may either transmit N't sample / path measurements according to the first assistance information provided by the LMF, or may transmit according to the optimal transmission method and provide information corresponding to the optimal transmission method. For example, if the LMF specifies that path-based transmission of measurement measurements is preferable, if the UE / gNB / PRU determines that sample-based transmission is more appropriate, the UE / gNB / PRU may transmit based on samples and provide information indicating that the measurement measurements are transmitted based on samples.

[0340] Embodiment 2: The AI / ML model is deployed on the UE / gNB side, and the LMF / third-party entity provides first auxiliary information to help the UE / gNB determine the measurement amount. The UE / gNB determines the input of the AI / ML model based on the determined measurement amount.

[0341] The process specifically includes:

[0342] Step 1: The LMF / third-party entity sends first assistance information to the UE / gNB. The first assistance information is information indicating the requirements that the measurement quantity needs to meet.

[0343] This embodiment differs from the embodiment in that the UE / gNB does not send the measurement amount, but directly determines the first measurement amount based on the first auxiliary information, and further determines the input of the AI / ML model.

[0344] The first auxiliary information that the LMF / third-party entity needs to provide includes at least one of the following:

[0345] D1: The measurement includes the maximum time range corresponding to N't paths;

[0346] D2: the number of N't paths;

[0347] D3: The maximum and / or minimum number of N't paths included in the measurement;

[0348] D4: Rules for determining N't paths / samples:

[0349] (a) N't paths are N't paths with equal intervals, and the LMF indication / protocol stipulates the interval;

[0350] (b) Indicator type of the N't paths: The UE / gNB determines the N't paths based on the indicator type. The indicator type includes at least one of the following: a time indicator, a signal energy indicator, a signal interference strength indicator, and a LOS / NLOS indicator.

[0351] (c) N't paths are the N't paths with the strongest RSRPP within the first time range;

[0352] (d) N't paths are the N't paths whose RSRPP exceeds the RSRPP threshold within the second time range;

[0353] (e) The minimum time interval that needs to be satisfied between two adjacent N't paths;

[0354] (f) requirements and restrictions between a first target object (first path) and a second target object (additional path), or requirements and restrictions between additional targets;

[0355] D5: The measurement quantity includes the time interval between two adjacent samples in Nt samples;

[0356] D6: The measurement quantity includes the number of Nt samples;

[0357] D7: The measurement includes the maximum time range corresponding to Nt samples;

[0358] D8: The minimum number of N't samples included in the measurement quantity, i.e., the minimum number of samples with RSRPP not equal to 0 included in the measurement quantity sent by the UE / gNB;

[0359] D9: the reference time point (first reference time) and / or the deviation (deviation information) relative to the reference time point when the time information corresponding to the measurement quantity is determined. For example, the difference between the time point corresponding to the first sample included in the measurement quantity and the reference time point meets the above deviation.

[0360] D10: When the consecutive samples included in N't samples are X, LMF indicates the maximum value of X.

[0361] Step 2: The UE / gNB determines a first measurement quantity based on the auxiliary information, and determines an input of the AI / ML model based on the first measurement quantity.

[0362] As shown in FIG3 , an embodiment of the present disclosure further provides an information transmission method, which is performed by a second communication device. The method includes:

[0363] Step 301: Send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0364] The second communication device sends first auxiliary information to the first communication device. The second communication device includes a LMF or a third-party entity or a terminal. The first communication device includes a terminal or a network-side device (such as a base station) or a LMF.

[0365] In some embodiments, the measurement quantity of the embodiments of the present disclosure includes at least one of the following: channel impulse response CIR; power delay profile PDP; delay profile DP.

[0366] In an embodiment of the present disclosure, a second communication device sends first auxiliary information to a first communication device, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet. Based on the first auxiliary information, the first communication device can determine a first measurement quantity that meets the requirement information indicated by the first auxiliary information, so that various processes in the lifecycle management of an AI / ML model or an AI / ML method, such as an AI / ML model training process and an AI / ML model inference process, can be subsequently performed based on the first measurement quantity that meets the specific requirement information (i.e., the first measurement quantity with unified format information). That is, the format of the measurement quantity in each process is ensured to be consistent, thereby effectively improving the inference performance of the AI / ML model or AI / ML method, and thereby improving the performance of AI positioning.

[0367] In some embodiments, the method of the present disclosure further includes:

[0368] Acquire a first measurement value sent by a first communication device;

[0369] An input of a first object is determined based on the first measurement.

[0370] Based on the first measurement quantity sent by the first communication device, the second communication device can determine the input of the first object based on the first measurement quantity in a unified format, thereby enabling the second communication device to use the measurement quantity in a unified format for model training, effectively improving the performance of model reasoning.

[0371] In some embodiments, the method of the present disclosure further includes:

[0372] A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

[0373] In the embodiments of the present disclosure, in addition to transmitting a first measurement metric that meets the requirements indicated by the first assistance information, a first communications device may also transmit a second measurement metric that does not meet the requirements indicated by the first assistance information, and simultaneously transmit requirement information that the second measurement metric meets, so that the second communications device can determine a format or requirement information related to the second measurement metric based on the requirement information. The specific content of the requirement information may refer to the content of the requirement information indicated by the first assistance information.

[0374] In some embodiments, the first auxiliary information includes at least one of the following:

[0375] How the measured quantity is sent;

[0376] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0377] the number of said target objects in the measurement volume;

[0378] the maximum number of said target objects in the measurement volume;

[0379] the minimum number of target objects in the measurement volume;

[0380] a determination rule for the target object in the measurement quantity;

[0381] a first reference time of time information corresponding to the target object in the measurement;

[0382] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0383] The time interval between two adjacent target objects in the measurement quantity;

[0384] The maximum number of consecutive target objects included in the measurement.

[0385] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0386] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0387] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0388] determining a target object in the measurement quantity according to the same time interval;

[0389] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0390] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0391] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0392] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0393] In some embodiments, the target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object in the measurement quantity other than the first target object.

[0394] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0395] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0396] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0397] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0398] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0399] In some embodiments, the indicator type includes at least one of the following:

[0400] Time indicator;

[0401] Signal power index;

[0402] Signal interference strength indicator;

[0403] Signal quality indicators;

[0404] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0405] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0406] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0407] It should be noted that the above-mentioned first auxiliary information has been described in detail in the method embodiment on the first communication device side and will not be repeated here.

[0408] It should be noted that the method executed by the second communication device is a method corresponding to the method executed by the above-mentioned first communication device. The specific interaction process between the two has been described in detail in the embodiment on the first communication device side and will not be repeated here.

[0409] The present disclosure also provides an information transmission method, which is performed by a first communication device. The method includes:

[0410] A measurement quantity and second auxiliary information corresponding to the measurement quantity are sent to a second communication device, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0411] In the embodiment of the present disclosure, by sending a measurement amount and second auxiliary information corresponding to the measurement amount to a second communication device, the second communication device can classify the measurement amount and use the measurement amount with the same type or understanding of the auxiliary information corresponding to the measurement amount to train the AI / ML model.

[0412] In some embodiments, the second auxiliary information includes at least one of the following:

[0413] How the measured quantity is sent;

[0414] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0415] the number of said target objects in the measurement volume;

[0416] the maximum number of said target objects in the measurement volume;

[0417] the minimum number of target objects in the measurement volume;

[0418] a determination rule for the target object in the measurement quantity;

[0419] a first reference time of time information corresponding to the target object in the measurement;

[0420] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0421] The time interval between two adjacent target objects in the measurement quantity;

[0422] The maximum number of consecutive target objects included in the measurement.

[0423] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0424] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0425] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0426] determining a target object in the measurement quantity according to the same time interval;

[0427] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0428] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0429] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0430] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0431] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0432] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0433] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0434] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0435] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0436] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0437] In some embodiments, the indicator type includes at least one of the following:

[0438] Time indicator;

[0439] Signal power index;

[0440] Signal interference strength indicator;

[0441] Signal quality indicators;

[0442] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0443] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0444] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range that any target object in the measurement meets relative to the second reference time

[0445] It should be noted that the second auxiliary information is similar to the above-mentioned first auxiliary information and will not be described in detail here.

[0446] The present disclosure also provides an information transmission method, which is performed by a second communication device. The method includes:

[0447] Obtaining a measurement quantity and second auxiliary information corresponding to the measurement quantity, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, wherein the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0448] An input of the first object is determined according to the second auxiliary information corresponding to the measurement quantity.

[0449] The second auxiliary information has been described in the above embodiment and will not be repeated here.

[0450] The method of the present disclosure is described below with reference to embodiments.

[0451] Example 3:

[0452] Step 1: The UE / gNB / PRU determines the measurement quantity and auxiliary information corresponding to the measurement quantity (second auxiliary information), where the second auxiliary information is used to indicate the requirement information satisfied by the measurement quantity.

[0453] The second auxiliary information includes at least one of the following:

[0454] E1: The number of target objects included in the measurement;

[0455] E2: A determination rule for the target object (path and / or sample) included in the measurement. The determination rule may include at least one of the following:

[0456] The multiple target objects included in the measurement are equally spaced target objects;

[0457] An indicator type of at least one target object included in the measurement quantity, the indicator type including at least one of the following: a time indicator, a signal energy indicator, a signal interference strength indicator, and a LOS / NLOS indication indicator;

[0458] The target objects included in the measurement are the N1 target objects with the strongest RSRPP within the first time range;

[0459] E3: the time interval between two adjacent target objects;

[0460] E4: The maximum time range corresponding to the target object included in the measurement;

[0461] E5: Minimum number of target objects included in the measurement, e.g., the minimum number of samples with non-zero RSRPP values ​​included in the measurement sent by the UE / gNB.

[0462] E6: The maximum number of target objects included in the measurement;

[0463] E7: The reference time point (first reference time) and / or the deviation relative to the reference time point when the time information corresponding to the measurement quantity is determined. For example, the difference between the time point corresponding to the first sample included in the measurement quantity and the reference time point meets the above deviation.

[0464] Step 2: The UE / gNB / PRU sends the measurement quantity and the corresponding auxiliary information to the LMF / third-party entity.

[0465] The auxiliary information corresponding to the measurement quantity sent by the UE / gNB / PRU and received by the LMF / third-party entity may have inconsistent formats or requirements. However, the LMF / third-party entity can classify the measurement quantity based on the auxiliary information corresponding to the measurement quantity and use the measurement quantity with consistent auxiliary information type or consistent understanding to train the AI / ML model.

[0466] In the embodiment of the present disclosure, a measurement quantity and second auxiliary information corresponding to the measurement quantity are obtained, so that the second communication device can classify the measurement quantity and use the measurement quantity with the same type or consistent understanding of the auxiliary information corresponding to the measurement quantity to train the AI / ML model.

[0467] As shown in FIG4 , an embodiment of the present disclosure provides an information transmission apparatus, which is applied to a first communication device and includes a memory 420 , a transceiver 400 , and a processor 410 ;

[0468] The memory 420 is used to store computer programs; the transceiver 400 is used to send and receive data under the control of the processor 410;

[0469] In the embodiment of the present disclosure, the processor 410 is configured to read the computer program in the memory 420 and perform the following operations:

[0470] Obtaining first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0471] A first measurement quantity is determined according to the first auxiliary information.

[0472] In some embodiments, the processor further implements the following steps:

[0473] sending the first measurement value to a second communication device;

[0474] Alternatively, the input of the first object is determined according to the first measurement quantity.

[0475] In some embodiments, the processor further implements the following steps:

[0476] A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0477] In some embodiments, the first auxiliary information includes at least one of the following:

[0478] How the measured quantity is sent;

[0479] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0480] the number of said target objects in the measurement volume;

[0481] the maximum number of said target objects in the measurement volume;

[0482] the minimum number of target objects in the measurement volume;

[0483] a determination rule for the target object in the measurement quantity;

[0484] a first reference time of time information corresponding to the target object in the measurement;

[0485] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0486] The time interval between two adjacent target objects in the measurement quantity;

[0487] The maximum number of consecutive target objects included in the measurement.

[0488] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0489] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0490] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0491] determining a target object in the measurement quantity according to the same time interval;

[0492] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0493] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0494] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0495] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0496] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0497] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0498] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0499] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0500] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0501] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0502] In some embodiments, the indicator type includes at least one of the following:

[0503] Time indicator;

[0504] Signal power index;

[0505] Signal interference strength indicator;

[0506] Signal quality indicators;

[0507] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0508] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0509] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0510] Alternatively, in an embodiment of the present disclosure, the processor 410 is configured to read the computer program in the memory 420 and perform the following operations:

[0511] A measurement quantity and second auxiliary information corresponding to the measurement quantity are sent to a second communication device, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0512] In some embodiments, the second auxiliary information includes at least one of the following:

[0513] How the measured quantity is sent;

[0514] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0515] the number of said target objects in the measurement volume;

[0516] the maximum number of said target objects in the measurement volume;

[0517] the minimum number of target objects in the measurement volume;

[0518] a determination rule for the target object in the measurement quantity;

[0519] a first reference time of time information corresponding to the target object in the measurement;

[0520] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0521] The time interval between two adjacent target objects in the measurement quantity;

[0522] The maximum number of consecutive target objects included in the measurement.

[0523] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0524] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0525] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0526] determining a target object in the measurement quantity according to the same time interval;

[0527] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0528] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0529] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0530] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0531] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0532] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0533] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0534] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0535] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0536] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0537] In some embodiments, the indicator type includes at least one of the following:

[0538] Time indicator;

[0539] Signal power index;

[0540] Signal interference strength indicator;

[0541] Signal quality indicators;

[0542] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0543] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0544] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0545] In FIG4 , the bus architecture may include any number of interconnected buses and bridges, specifically various circuits connected together by one or more processors represented by processor 410 and memory represented by memory 420. The bus architecture may also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 400 may be a plurality of components, including a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium, such as a wireless channel, a wired channel, an optical cable, and the like. For different user devices, the user interface 430 may also be an interface capable of connecting external or internal devices as required, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0546] The processor 410 is responsible for managing the bus architecture and general processing, and the memory 420 can store data used by the processor 410 when performing operations.

[0547] In some embodiments, the processor 410 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a complex programmable logic device (CPLD). The processor may also adopt a multi-core architecture.

[0548] The processor calls the computer program stored in the memory to execute any of the methods provided by the embodiments of the present disclosure according to the obtained executable instructions. The processor and the memory can also be arranged physically separately.

[0549] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the first communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0550] As shown in FIG5 , an embodiment of the present disclosure further provides an information transmission device, including a memory 520 , a transceiver 500 , and a processor 510 ;

[0551] The memory 520 is used to store computer programs; the transceiver 500 is used to send and receive data under the control of the processor;

[0552] In an embodiment of the present disclosure, the processor 510 is configured to read the computer program in the memory and perform the following operations:

[0553] Obtaining first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0554] A first measurement quantity is determined according to the first auxiliary information.

[0555] In some embodiments, the processor further implements the following steps:

[0556] sending the first measurement value to a second communication device;

[0557] Alternatively, the input of the first object is determined according to the first measurement quantity.

[0558] In some embodiments, the processor further implements the following steps:

[0559] A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0560] In some embodiments, the first auxiliary information includes at least one of the following:

[0561] How the measured quantity is sent;

[0562] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0563] the number of said target objects in the measurement volume;

[0564] the maximum number of said target objects in the measurement volume;

[0565] the minimum number of target objects in the measurement volume;

[0566] a determination rule for the target object in the measurement quantity;

[0567] a first reference time of time information corresponding to the target object in the measurement;

[0568] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0569] The time interval between two adjacent target objects in the measurement quantity;

[0570] The maximum number of consecutive target objects included in the measurement.

[0571] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0572] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0573] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0574] determining a target object in the measurement quantity according to the same time interval;

[0575] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0576] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0577] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0578] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0579] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0580] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0581] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0582] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0583] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0584] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0585] In some embodiments, the indicator type includes at least one of the following:

[0586] Time indicator;

[0587] Signal power index;

[0588] Signal interference strength indicator;

[0589] Signal quality indicators;

[0590] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0591] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0592] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0593] Alternatively, in an embodiment of the present disclosure, the processor 510 is configured to read the computer program in the memory and perform the following operations:

[0594] Send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0595] In some embodiments, the processor further implements the following steps:

[0596] Acquire a first measurement value sent by a first communication device;

[0597] An input of a first object is determined based on the first measurement.

[0598] In some embodiments, the processor further implements the following steps:

[0599] A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

[0600] In some embodiments, the first auxiliary information includes at least one of the following:

[0601] How the measured quantity is sent;

[0602] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0603] the number of said target objects in the measurement volume;

[0604] the maximum number of said target objects in the measurement volume;

[0605] the minimum number of target objects in the measurement volume;

[0606] a determination rule for the target object in the measurement quantity;

[0607] a first reference time of time information corresponding to the target object in the measurement;

[0608] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0609] The time interval between two adjacent target objects in the measurement quantity;

[0610] The maximum number of consecutive target objects included in the measurement.

[0611] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0612] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0613] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0614] determining a target object in the measurement quantity according to the same time interval;

[0615] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0616] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0617] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0618] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0619] In some embodiments, the target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

[0620] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0621] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0622] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0623] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0624] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0625] In some embodiments, the indicator type includes at least one of the following:

[0626] Time indicator;

[0627] Signal power index;

[0628] Signal interference strength indicator;

[0629] Signal quality indicators;

[0630] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0631] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0632] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0633] Alternatively, in an embodiment of the present disclosure, the processor 510 is configured to read the computer program in the memory and perform the following operations:

[0634] Obtaining a measurement quantity and second auxiliary information corresponding to the measurement quantity, where the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, wherein the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0635] An input of the first object is determined according to the second auxiliary information corresponding to the measurement quantity.

[0636] In FIG5 , the bus architecture may include any number of interconnected buses and bridges, specifically various circuits linked together by one or more processors represented by processor 510 and memory represented by memory 520. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 500 may be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices over a transmission medium, such as a wireless channel, a wired channel, an optical cable, and the like. The processor 510 is responsible for managing the bus architecture and general processing, and the memory 520 may store data used by the processor 510 when performing operations.

[0637] The processor 510 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a complex programmable logic device (CPLD). The processor may also adopt a multi-core architecture.

[0638] It should be noted here that the above-mentioned device provided by the embodiment of the present disclosure can implement all the method steps implemented by the above-mentioned information determination method embodiment applied to the second communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0639] As shown in FIG6 , the embodiment of the present disclosure further provides an information transmission device, including:

[0640] A first acquisition unit 601 is configured to acquire first auxiliary information, where the first auxiliary information indicates requirement information that a measurement quantity must satisfy, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0641] The first determining unit 602 is configured to determine a first measurement value according to the first auxiliary information.

[0642] In some embodiments, the apparatus of the present disclosure further includes:

[0643] A second sending unit, configured to send the first measurement value to a second communication device;

[0644] Alternatively, the second determining unit is configured to determine the input of the first object according to the first measurement quantity.

[0645] In some embodiments, the apparatus of the present disclosure further includes:

[0646] The third sending unit is configured to send a second measurement amount and requirement information satisfied by the second measurement amount, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0647] In some embodiments, the first auxiliary information includes at least one of the following:

[0648] How the measured quantity is sent;

[0649] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0650] the number of said target objects in the measurement volume;

[0651] the maximum number of said target objects in the measurement volume;

[0652] the minimum number of target objects in the measurement volume;

[0653] a determination rule for the target object in the measurement quantity;

[0654] a first reference time of time information corresponding to the target object in the measurement;

[0655] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0656] The time interval between two adjacent target objects in the measurement quantity;

[0657] The maximum number of consecutive target objects included in the measurement.

[0658] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0659] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0660] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0661] determining a target object in the measurement quantity according to the same time interval;

[0662] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0663] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0664] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0665] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0666] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0667] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0668] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0669] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0670] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0671] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0672] In some embodiments, the indicator type includes at least one of the following:

[0673] Time indicator;

[0674] Signal power index;

[0675] Signal interference strength indicator;

[0676] Signal quality indicators;

[0677] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0678] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0679] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0680] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the first communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0681] As shown in FIG7 , the embodiment of the present disclosure further provides an information transmission device, including:

[0682] A first sending unit 701 is used to send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0683] In some embodiments, the apparatus of the present disclosure further includes:

[0684] A second acquiring unit, configured to acquire a first measurement value sent by the first communication device;

[0685] The third determining unit is configured to determine an input of the first object according to the first measurement quantity.

[0686] In some embodiments, the apparatus of the present disclosure further includes:

[0687] The third obtaining unit is configured to obtain a second measurement amount and requirement information satisfied by the second measurement amount, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

[0688] In some embodiments, the first auxiliary information includes at least one of the following:

[0689] How the measured quantity is sent;

[0690] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0691] the number of said target objects in the measurement volume;

[0692] the maximum number of said target objects in the measurement volume;

[0693] the minimum number of target objects in the measurement volume;

[0694] a determination rule for the target object in the measurement quantity;

[0695] a first reference time of time information corresponding to the target object in the measurement;

[0696] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0697] The time interval between two adjacent target objects in the measurement quantity;

[0698] The maximum number of consecutive target objects included in the measurement.

[0699] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0700] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0701] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0702] determining a target object in the measurement quantity according to the same time interval;

[0703] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0704] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0705] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0706] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0707] In some embodiments, the target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object in the measurement quantity other than the first target object.

[0708] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0709] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0710] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0711] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0712] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0713] In some embodiments, the indicator type includes at least one of the following:

[0714] Time indicator;

[0715] Signal power index;

[0716] Signal interference strength indicator;

[0717] Signal quality indicators;

[0718] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0719] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0720] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0721] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the second communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0722] The present disclosure also provides an information transmission device, including:

[0723] A fourth sending unit is configured to send a measurement amount and second auxiliary information corresponding to the measurement amount to a second communication device, where the second auxiliary information is used to indicate requirement information satisfied by the measurement amount, where the measurement amount is a measurement amount related to the input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

[0724] In some embodiments, the second auxiliary information includes at least one of the following:

[0725] How the measured quantity is sent;

[0726] a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point;

[0727] the number of said target objects in the measurement volume;

[0728] the maximum number of said target objects in the measurement volume;

[0729] the minimum number of target objects in the measurement volume;

[0730] a determination rule for the target object in the measurement quantity;

[0731] a first reference time of time information corresponding to the target object in the measurement;

[0732] Deviation information between the time information corresponding to the target object in the measurement and the first reference time;

[0733] The time interval between two adjacent target objects in the measurement quantity;

[0734] The maximum number of consecutive target objects included in the measurement.

[0735] In some embodiments, the power information and / or phase information corresponding to the target object meets a first value and / or a first requirement;

[0736] The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

[0737] In some embodiments, the determination rule of the target object in the measurement volume includes at least one of the following:

[0738] determining a target object in the measurement quantity according to the same time interval;

[0739] Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol;

[0740] Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer;

[0741] Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer;

[0742] The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

[0743] In some embodiments, the target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is the target object in the measurement quantity other than the first target object.

[0744] In some embodiments, a determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following:

[0745] determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy;

[0746] determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy;

[0747] determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy;

[0748] The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

[0749] In some embodiments, the indicator type includes at least one of the following:

[0750] Time indicator;

[0751] Signal power index;

[0752] Signal interference strength indicator;

[0753] Signal quality indicators;

[0754] Line-of-sight LOS / non-line-of-sight NLOS indicator.

[0755] In some embodiments, the maximum time range corresponding to the target object in the measurement includes:

[0756] The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

[0757] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the first communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0758] The present disclosure also provides an information transmission device, including:

[0759] a fourth acquiring unit, configured to acquire a measurement quantity and second auxiliary information corresponding to the measurement quantity, wherein the second auxiliary information is used to indicate requirement information satisfied by the measurement quantity, wherein the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method;

[0760] The fourth determining unit is configured to determine an input of a second object according to second auxiliary information corresponding to the measurement quantity.

[0761] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the above-mentioned method embodiment applied to the second communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0762] It should be noted that the division of units in the embodiments of the present disclosure is schematic and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0763] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0764] In some embodiments of the present disclosure, a processor-readable storage medium is also provided, which stores program instructions, and the program instructions are used to enable the processor to execute all the steps implemented by the method embodiment executed by the above-mentioned first communication device or all the steps implemented by the method embodiment executed by the second communication device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0765] The embodiments of the present disclosure also provide a computer program product, including computer instructions. When the computer instructions are executed by a processor, the various processes of the method embodiment executed by the above-mentioned first communication device or second communication device are implemented, and the same technical effect can be achieved. To avoid repetition, they are not repeated here.

[0766] The terminal device involved in the embodiments of the present disclosure may be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connection function, or other processing device connected to a wireless modem. In different systems, the name of the terminal device may also be different. For example, in the fifth-generation mobile communication technology (5th-Generation, 5G) system, the terminal device may be called User Equipment (UE). A wireless terminal device can communicate with one or more core networks (CN) via a radio access network (RAN). The wireless terminal device can be a mobile terminal device, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal device. For example, it can be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device that exchanges voice and / or data with a radio access network. For example, personal communication service (PCS) phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), and other devices. The wireless terminal device may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, an access point, a remote terminal device, an access terminal device, a user terminal device, a user agent, or a user device, but is not limited in the embodiments of the present disclosure.

[0767] The network device (or network-side device) involved in the embodiments of the present disclosure may be a base station, which may include multiple cells providing services to terminals. Depending on the specific application scenario, the base station may also be called an access point, or may be a device in an access network that communicates with a wireless terminal device through one or more sectors on an air interface, or may be called another name. The network device may be used to interchange received air frames with Internet Protocol (IP) packets, acting as a router between the wireless terminal device and the rest of the access network, wherein the rest of the access network may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management of the air interface. For example, the network device involved in the embodiments of the present disclosure may be a base transceiver station (BTS) in the Global System for Mobile communications (GSM) or code division multiple access (CDMA), a network device (NodeB) in wide-band code division multiple access (WCDMA), an evolutionary 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), a home evolved Node B (HeNB), a relay node, a femto, a pico, etc., and is not limited in the embodiments of the present disclosure. In some network structures, the network device may include a centralized unit (CU) node and a distributed unit (DU) node, and the centralized unit and the distributed unit may also be geographically separated.

[0768] Network devices and terminal devices can each use one or more antennas for Multiple Input Multiple Output (MIMO) transmission. MIMO transmission can be single-user MIMO (SU-MIMO) or multi-user MIMO (MU-MIMO). Depending on the configuration and number of antenna combinations, MIMO transmission can be two-dimensional MIMO (2D-MIMO), three-dimensional MIMO (3D-MIMO), full-dimensional MIMO (FD-MIMO), or massive MIMO. It can also use diversity transmission, precoding, or beamforming.

[0769] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0770] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0771] These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0772] These processor-executable instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0773] In addition, it should be noted that, in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it will be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0774] It should be noted that it should be understood that the division of the above modules is merely a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. Moreover, these modules can all be implemented in the form of software called by a processing element; or they can all be implemented in the form of hardware; or some modules can be implemented in the form of software called by a processing element, and some modules can be implemented in the form of hardware. For example, a module can be a separately established processing element, or it can be integrated into a chip of the above-mentioned device. In addition, it can also be stored in the memory of the above-mentioned device in the form of program code, and called by a processing element of the above-mentioned device to perform the functions of the above-mentioned module. The implementation of other modules is similar. In addition, these modules can all or partly be integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each module above can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.

[0775] For example, each module, unit, sub-unit or sub-module can be one or more integrated circuits configured to implement the above method, such as one or more application-specific integrated circuits (ASICs), one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented by scheduling program code through a processing element, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0776] The terms "first," "second," and the like in the specification and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein may be implemented in a sequence other than that illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units need not be limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or devices. In addition, the use of "and / or" in the specification and claims to indicate at least one of the connected objects, for example, A and / or B and / or C, means that seven situations are included: A alone, B alone, C alone, both A and B present, both B and C present, both A and C present, and all A, B, and C present. Similarly, the use of "at least one of A and B" in the specification and claims should be understood to mean "A alone, B alone, or both A and B present."

[0777] Obviously, those skilled in the art may make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is intended to include these modifications and variations.

Claims

1. A method for transmitting information, performed by a first communication device, the method comprising: Acquire first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, and the measurement quantity is a measurement quantity related to an input of a first object; The first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method; A first measurement quantity is determined according to the first auxiliary information.

2. The method according to claim 1, further comprising: sending the first measurement value to a second communication device; Alternatively, the input of the first object is determined according to the first measurement quantity.

3. The method according to claim 1, further comprising: A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

4. The method according to claim 1, wherein The first auxiliary information includes at least one of the following: How the measured quantity is sent; a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point; the number of said target objects in the measurement volume; the maximum number of said target objects in the measurement volume; the minimum number of target objects in the measurement volume; a determination rule for the target object in the measurement quantity; a first reference time of time information corresponding to the target object in the measurement; Deviation information between the time information corresponding to the target object in the measurement and the first reference time; The time interval between two adjacent target objects in the measurement quantity; The maximum number of consecutive target objects included in the measurement.

5. The method according to claim 4, wherein: The power information and / or phase information corresponding to the target object meets the first value and / or the first requirement; The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

6. The method according to claim 4, wherein: The determination rule of the target object in the measurement volume includes at least one of the following: determining a target object in the measurement quantity according to the same time interval; Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol; Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer; Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer; The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

7. The method according to any one of claims 4 to 6, wherein: The target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

8. The method according to claim 7, wherein: A determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following: determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy; determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy; determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy; The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

9. The method according to claim 6, wherein: The indicator type includes at least one of the following: Time indicator; Signal power index; Signal interference strength indicator; Signal quality indicators; Line-of-sight LOS / non-line-of-sight NLOS indicator.

10. The method according to claim 4, wherein: The maximum time range corresponding to the target object in the measurement includes: The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

11. An information transmission method, performed by a second communication device, the method comprising: Sending first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; The first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

12. The method according to claim 11, further comprising: Acquire a first measurement value sent by a first communication device; An input of a first object is determined based on the first measurement.

13. The method according to claim 11, further comprising: A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

14. The method according to claim 11, wherein The first auxiliary information includes at least one of the following: How the measured quantity is sent; a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point; the number of said target objects in the measurement volume; the maximum number of said target objects in the measurement volume; the minimum number of target objects in the measurement volume; a determination rule for the target object in the measurement quantity; a first reference time of time information corresponding to the target object in the measurement; Deviation information between the time information corresponding to the target object in the measurement and the first reference time; The time interval between two adjacent target objects in the measurement quantity; The maximum number of consecutive target objects included in the measurement.

15. The method according to claim 14, wherein The power information and / or phase information corresponding to the target object meets the first value and / or the first requirement; The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

16. The method according to claim 14, wherein The determination rule of the target object in the measurement volume includes at least one of the following: determining a target object in the measurement quantity according to the same time interval; Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol; Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer; Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer; The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

17. The method according to any one of claims 14 to 16, wherein: The target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

18. The method according to claim 17, wherein A determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following: determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy; determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy; determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy; The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

19. The method according to claim 16, wherein The indicator type includes at least one of the following: Time indicator; Signal power index; Signal interference strength indicator; Signal quality indicators; Line-of-sight LOS / non-line-of-sight NLOS indicator.

20. The method according to claim 14, wherein The maximum time range corresponding to the target object in the measurement includes: The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

21. An information transmission device comprising a memory, a transceiver, and a processor; Memory for storing computer programs; a transceiver, configured to transmit and receive data under the control of the processor; A processor is configured to read the computer program in the memory and perform the following operations: Obtaining first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method; A first measurement quantity is determined according to the first auxiliary information.

22. The device according to claim 21, wherein The processor further implements the following steps: sending the first measurement value to a second communication device; Alternatively, the input of the first object is determined according to the first measurement quantity.

23. The device according to claim 21, wherein The processor further implements the following steps: A second measurement amount and requirement information satisfied by the second measurement amount are sent, wherein the second measurement amount is a measurement amount that does not satisfy the requirement information indicated by the first auxiliary information.

24. The device according to claim 21, characterized in that The first auxiliary information includes at least one of the following: How the measured quantity is sent; a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point; the number of said target objects in the measurement volume; the maximum number of said target objects in the measurement volume; the minimum number of target objects in the measurement volume; a determination rule for the target object in the measurement quantity; a first reference time of time information corresponding to the target object in the measurement; Deviation information between the time information corresponding to the target object in the measurement and the first reference time; The time interval between two adjacent target objects in the measurement quantity; The maximum number of consecutive target objects included in the measurement.

25. The apparatus according to claim 24, wherein The power information and / or phase information corresponding to the target object meets the first value and / or the first requirement; The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

26. The apparatus according to claim 24, wherein The determination rule of the target object in the measurement volume includes at least one of the following: determining a target object in the measurement quantity according to the same time interval; Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol; Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer; Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer; The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

27. The device according to any one of claims 24 to 26, wherein The target object includes at least one of a first target object and a second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

28. The apparatus according to claim 27, wherein A determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following: determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy; determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy; determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy; The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

29. The apparatus according to claim 26, wherein The indicator type includes at least one of the following: Time indicator; Signal power index; Signal interference strength indicator; Signal quality indicators; Line-of-sight LOS / non-line-of-sight NLOS indicator.

30. The apparatus of claim 24, wherein: The maximum time range corresponding to the target object in the measurement includes: The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

31. An information transmission device comprising a memory, a transceiver, and a processor; Memory for storing computer programs; a transceiver, configured to transmit and receive data under the control of the processor; A processor is configured to read the computer program in the memory and perform the following operations: Sending first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

32. The device according to claim 31, characterized in that The processor further implements the following steps: Acquire a first measurement value sent by a first communication device; An input of a first object is determined based on the first measurement.

33. The device according to claim 31, characterized in that The processor further implements the following steps: A second measurement quantity and requirement information satisfied by the second measurement quantity are acquired, wherein the second measurement quantity is a measurement quantity that does not satisfy the requirement information indicated by the first auxiliary information.

34. The device according to claim 31, characterized in that The first auxiliary information includes at least one of the following: How the measured quantity is sent; a maximum time range corresponding to a target object in the measurement, the target object including at least one of a path and a sample point; the number of said target objects in the measurement volume; the maximum number of said target objects in the measurement volume; the minimum number of target objects in the measurement volume; a determination rule for the target object in the measurement quantity; a first reference time of time information corresponding to the target object in the measurement; Deviation information between the time information corresponding to the target object in the measurement and the first reference time; The time interval between two adjacent target objects in the measurement quantity; The maximum number of consecutive target objects included in the measurement.

35. The apparatus of claim 34, wherein: The power information and / or phase information corresponding to the target object meets the first value and / or the first requirement; The first value is not 0, or the first requirement is to comply with a first range or to be greater than or equal to a first threshold.

36. The apparatus of claim 34, wherein: The determination rule of the target object in the measurement volume includes at least one of the following: determining a target object in the measurement quantity according to the same time interval; Determining a target object in the measurement amount according to an indicator type indicated by the second communication device or agreed upon in a protocol; Determine the target object in the measurement according to N1 target objects with the strongest power within the first time range, where N1 is a positive integer; Determine the target object in the measurement amount according to N2 target objects whose power is greater than or equal to the preset power threshold within the second time range, where N2 is a positive integer; The target object in the measurement value is determined according to the minimum time interval between two adjacent target objects indicated by the second communication device or agreed upon by the protocol.

37. The device according to any one of claims 34 to 36, wherein The target object includes a first target object and at least one second target object, wherein the first target object is the first target object in the measurement quantity, and the second target object is a target object among the target objects in the measurement quantity except the first target object.

38. The apparatus according to claim 37, wherein A determination rule for at least one of the first target object and the second target object in the measurement volume includes at least one of the following: determining at least one of the first target object and the second target object according to a third time range that a time difference between the first target object and the second target object needs to satisfy; determining the second target object according to a fourth time range that a time difference between two adjacent second target objects needs to satisfy; determining at least one of the first target object and the second target object according to a first power range that a power difference between the first target object and the second target object needs to satisfy; The second target objects are determined according to a second power range that a power difference between two adjacent second target objects needs to satisfy.

39. The apparatus of claim 36, wherein: The indicator type includes at least one of the following: Time indicator; Signal power index; Signal interference strength indicator; Signal quality indicators; Line-of-sight LOS / non-line-of-sight NLOS indicator.

40. The apparatus of claim 34, wherein The maximum time range corresponding to the target object in the measurement includes: The maximum time range between the first target object and the last target object in the measurement; or the maximum time range satisfied by any target object in the measurement relative to the second reference time.

41. An information transmission device comprising: a first acquiring unit, configured to acquire first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to satisfy, where the measurement quantity is a measurement quantity related to an input of a first object; the first object includes a first artificial intelligence (AI) / machine learning (ML) model and / or a first AI / ML method; The first determining unit is configured to determine a first measurement value according to the first auxiliary information.

42. An information transmission device comprising: A first sending unit is used to send first auxiliary information, where the first auxiliary information is used to indicate requirement information that a measurement quantity needs to meet, and the measurement quantity is a measurement quantity related to the input of a first object; the first object includes a first artificial intelligence AI / machine learning ML model and / or a first AI / ML method.

43. A processor-readable storage medium, wherein the processor-readable storage medium stores a computer program, wherein the computer program is used to enable the processor to execute the steps of the information transmission method according to any one of claims 1 to 10, or to execute the steps of the information transmission method according to any one of claims 11 to 20.

44. A computer program product comprising computer instructions, wherein when the computer instructions are executed by a processor, the computer program product implements the steps of the information transmission method according to any one of claims 1 to 10, or performs the steps of the information transmission method according to any one of claims 11 to 20.

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