WO2025236178A1 - 通信方法、通信设备、通信系统及存储介质 - Google Patents

通信方法、通信设备、通信系统及存储介质

Info

Publication number
WO2025236178A1
WO2025236178A1 PCT/CN2024/093158 CN2024093158W WO2025236178A1 WO 2025236178 A1 WO2025236178 A1 WO 2025236178A1 CN 2024093158 W CN2024093158 W CN 2024093158W WO 2025236178 A1 WO2025236178 A1 WO 2025236178A1
Authority
WO
WIPO (PCT)
Prior art keywords
measurement result
information
terminal
measurement
communication
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2024/093158
Other languages
English (en)
French (fr)
Inventor
李小龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Xiaomi Mobile Software Co Ltd
Original Assignee
Beijing Xiaomi Mobile Software Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Xiaomi Mobile Software Co Ltd filed Critical Beijing Xiaomi Mobile Software Co Ltd
Priority to CN202480006591.5A priority Critical patent/CN121359552A/zh
Priority to PCT/CN2024/093158 priority patent/WO2025236178A1/zh
Publication of WO2025236178A1 publication Critical patent/WO2025236178A1/zh
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Definitions

  • This disclosure relates to the field of communication technology, and in particular to a communication method, communication device, communication system and storage medium.
  • a terminal can perform positioning measurements on a reference signal and report the results to the location management function (LMF) entity on the network side.
  • the LMF determines the terminal's location based on the measurement results.
  • models such as artificial intelligence (AI)/machine learning (ML) models can also be used for positioning.
  • Location measurement includes sampling-based measurement and path-based measurement. Determining which measurement method to use during the location process is a problem that needs to be solved.
  • This disclosure provides a communication method, communication device, communication system, and storage medium.
  • a communication method executed by a first device, the method comprising: receiving first information sent by a second device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling measurement, a measurement result obtained based on path measurement.
  • a communication method performed by a second device, the method comprising: sending first information to a first device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of: a measurement result obtained based on sampling, and a measurement result obtained based on path measurement.
  • a communication device comprising: a transceiver module configured to receive first information sent by a second device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling, a measurement result obtained based on path measurement.
  • a communication device comprising: a transceiver module configured to send first information to a first device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of: a measurement result obtained based on sampling, and a measurement result obtained based on path measurement.
  • a communication device comprising: one or more processors; wherein the communication device is configured to perform a communication method as described in the first or second aspect.
  • a communication system including a communication device, wherein the communication device is configured to implement a communication method as described in the first or second aspect.
  • a storage medium stores instructions which, when executed on a communication device, cause the communication device to perform a communication method as described in the first or second aspect.
  • a computer program product including a computer program that, when executed by a processor, implements the communication method described in the first or second aspect.
  • a computer program includes code, which, when executed by a processor, implements the communication method described in the first or second aspect.
  • a chip or chip system includes processing circuitry.
  • the processing circuitry is configured to perform the communication method as described in the first or second aspect.
  • the technical solution provided in this disclosure involves a first device receiving first information sent by a second device.
  • the first information includes a first measurement result and/or a terminal location.
  • the first measurement result is obtained based on a second measurement result, which includes at least one of the following: a measurement result obtained based on sampling, or a measurement result obtained based on path measurement.
  • the first device determines the measurement method used by the second device or the type of measurement result reported by the second device based on the first information, so that the first device and the second device can reach a unified understanding of the measurements during the terminal positioning process.
  • Figure 1A is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure
  • Figure 1B is a schematic diagram illustrating direct localization based on an AI/ML model according to an embodiment of the present disclosure
  • Figure 1C is a schematic diagram illustrating AI/ML model-based assisted localization according to an embodiment of the present disclosure
  • Figure 2A is one of the exemplary interaction diagrams of a communication method according to an embodiment of the present disclosure
  • Figure 2B is a second exemplary interaction diagram of a communication method according to an embodiment of the present disclosure.
  • Figure 2C is a third exemplary interaction diagram of a communication method according to an embodiment of the present disclosure.
  • Figure 2D is a fourth exemplary interaction diagram of a communication method according to an embodiment of the present disclosure.
  • Figure 2E is a fifth exemplary interaction diagram illustrating a communication method according to an embodiment of the present disclosure.
  • Figure 3A is one of the flowcharts illustrating a communication method performed on the first device side according to an embodiment of the present disclosure
  • Figure 3B is a second schematic flowchart illustrating a communication method performed on the first device side according to an embodiment of the present disclosure
  • Figure 4A is one of the flowcharts illustrating a communication method performed on the second device side according to an embodiment of the present disclosure
  • Figure 4B is a second schematic flowchart illustrating a communication method performed on the second device side according to an embodiment of the present disclosure
  • Figure 5 is a schematic diagram of a communication device according to an embodiment of this disclosure.
  • Figure 6 is a schematic diagram of a communication device according to an embodiment of this disclosure.
  • Figure 7 is a schematic diagram of a chip structure proposed in an embodiment of this disclosure.
  • This disclosure provides a communication method, communication device, communication system, and storage medium.
  • embodiments of this disclosure propose a communication method executed by a first device.
  • the method includes: receiving first information sent by a second device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling, or a measurement result obtained based on path measurement.
  • the first device can determine the measurement method used by the second device or the type of measurement result reported based on the first information, so that the first device and the second device can reach a unified understanding of the measurement in the terminal positioning process.
  • the first measurement result includes one of the following: the second measurement result, or the output obtained by inputting the second measurement result into the AI model.
  • the first measurement result reported by the second device includes the output obtained by inputting the second measurement result into the AI model.
  • the first device can determine, based on the first information, what measurement method the AI model input is obtained from or what type of measurement result the AI model input is, so that the first device and the second device can reach a unified understanding of the measurement in the terminal positioning process.
  • the terminal location is determined by the second device based on the second measurement result.
  • the terminal location reported by the second device is determined based on the second measurement result.
  • the first device can determine the type of measurement result used to determine the terminal location based on the first information, so that the first device and the second device can reach a unified understanding of the measurement in the terminal positioning process.
  • the method further includes: sending second information, the second information being used to instruct the second device to send the first measurement result or the terminal location.
  • the first device may instruct the second device to report a first measurement result or terminal location. That is, the first device may instruct the second device to report the type of measurement result or the measurement method used, so that the first device and the second device can reach a unified understanding of the measurement in the terminal positioning process.
  • the first device is equipped with an AI model, and during the AI-based positioning process, the second information is used to instruct the second device to send the first measurement result.
  • the second device is equipped with an AI model, and during the AI-based positioning process, the second information is also used to indicate that the input of the AI model is the second measurement result.
  • the second information is used to instruct the second device to send the first measurement result.
  • the first device is located in the core network, and the second device is a terminal and/or access network device.
  • the second device is a terminal, and in a non-AI-based positioning process, the second information is used to instruct the second device to send the terminal location obtained based on the second measurement result.
  • non-AI-based positioning includes at least one of the following: positioning based on Time Difference of Arrival (TDOA); positioning based on Angle of Arrival (AOA); positioning based on Angle of Departure (AOD); and positioning based on Multiple Round-Trip Time (Multi-RTT).
  • TDOA Time Difference of Arrival
  • AOA Angle of Arrival
  • AOD Angle of Departure
  • Multi-RTT Multiple Round-Trip Time
  • the method further includes: receiving third information, the third information being used to indicate at least one of the following: the terminal's ability to support sampling-based measurements; the terminal's ability to support path-based measurements.
  • the second device may report the terminal's support capabilities for sampling-based measurements and/or path-based measurements, and the first device may determine the second information to be sent based on the terminal's capabilities.
  • the second information is carried in the first message, which is a location protocol message.
  • embodiments of this disclosure propose a communication method executed by a second device.
  • the method includes: sending first information to a first device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling, or a measurement result obtained based on path measurement.
  • the first measurement result includes one of the following: the second measurement result; the output obtained by inputting the second measurement result into the AI model.
  • the terminal location is determined by the second device based on the second measurement result.
  • the method further includes: receiving second information, the second information being used to instruct the second device to send the first measurement result or the terminal location.
  • the first device is equipped with an AI model, and during the AI-based positioning process, the second information is used to instruct the second device to send the first measurement result, the first information including the first measurement result.
  • the second device is deployed with an AI model, and in the AI-based positioning process, the second information is also used to indicate that the input of the AI model is the second measurement result, and the first information includes the terminal location, or the first information includes the first measurement result and the terminal location.
  • the second information is used to instruct the second device to send the first measurement result, the first information including the first measurement result.
  • the first device is located in the core network, and the second device is a terminal and/or access network device.
  • the second device is a terminal, and in a non-AI-based positioning process, the second information is used to instruct the second device to send the terminal location, which is obtained based on the first measurement result.
  • non-AI-based positioning includes at least one of the following: positioning based on Time Difference of Arrival (TDOA); positioning based on Angle of Arrival (AOA); positioning based on Angle of Departure (AOD); and positioning based on Multiple Round-Trip Time (Multi-RTT).
  • TDOA Time Difference of Arrival
  • AOA Angle of Arrival
  • AOD Angle of Departure
  • Multi-RTT Multiple Round-Trip Time
  • the method further includes: sending third information, the third information being used to indicate at least one of the following: the terminal's ability to support sampling-based measurements; the terminal's ability to support path-based measurements.
  • the second information is carried in a first message, where the first message is a location protocol message.
  • a communication device including: a transceiver module configured to receive first information sent by a second device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling, a measurement result obtained based on path measurement.
  • the first measurement result includes one of the following: the second measurement result, or the output obtained by inputting the second measurement result into the AI model.
  • the terminal location is determined by the second device based on the second measurement result.
  • the transceiver module is further configured to send second information, the second information being used to instruct the second device to send the first measurement result or the terminal location.
  • the first device is equipped with an AI model, and during the AI-based positioning process, the second information is used to instruct the second device to send the first measurement result.
  • the second device is deployed with an AI model, and in the AI-based positioning process, the second information is also used to indicate that the input of the AI model is the second measurement result.
  • the second information is used to instruct the second device to send the first measurement result.
  • the first device is located in the core network, and the second device is a terminal and/or access network device.
  • the second device is a terminal, and in a non-AI-based positioning process, the second information is used to instruct the second device to send the terminal location obtained based on the second measurement result.
  • non-AI-based positioning includes at least one of the following: positioning based on Time Difference of Arrival (TDOA); positioning based on Angle of Arrival (AOA); positioning based on Angle of Departure (AOD); and positioning based on Multiple Round-Trip Time (Multi-RTT).
  • TDOA Time Difference of Arrival
  • AOA Angle of Arrival
  • AOD Angle of Departure
  • Multi-RTT Multiple Round-Trip Time
  • the transceiver module is further configured to receive third information, the third information being used to indicate at least one of the following: the terminal's ability to support sampling-based measurements; the terminal's ability to support path-based measurements.
  • the second information is carried in the first message, which is a location protocol message.
  • a communication device including: a transceiver module configured to send first information to a first device, the first information including a first measurement result and/or a terminal location, the first measurement result being obtained based on a second measurement result, the second measurement result including at least one of the following: a measurement result obtained based on sampling, a measurement result obtained based on path measurement.
  • the first measurement result includes one of the following: the second measurement result; the output obtained by inputting the second measurement result into the AI model.
  • the terminal location is determined by the second device based on the second measurement result.
  • the transceiver module is further configured to receive second information, the second information being used to instruct the second device to send the first measurement result or the terminal location.
  • the first device is equipped with an AI model, and during the AI-based positioning process, the second information is used to instruct the second device to send the first measurement result, the first information including the first measurement result.
  • the second device is deployed with an AI model, and in the AI-based positioning process, the second information is also used to indicate that the input of the AI model is the second measurement result, and the first information includes the terminal location, or the first information includes the first measurement result and the terminal location.
  • the second information is used to instruct the second device to send the first measurement result, the first information including the first measurement result.
  • the first device is located in the core network, and the second device is a terminal and/or access network device.
  • the second device is a terminal, and in a non-AI-based positioning process, the second information is used to instruct the second device to send the terminal location, which is obtained based on the first measurement result.
  • non-AI-based positioning includes at least one of the following: positioning based on Time Difference of Arrival (TDOA); positioning based on Angle of Arrival (AOA); positioning based on Angle of Departure (AOD); and positioning based on Multiple Round-Trip Time (Multi-RTT).
  • TDOA Time Difference of Arrival
  • AOA Angle of Arrival
  • AOD Angle of Departure
  • Multi-RTT Multiple Round-Trip Time
  • the transceiver module is further configured to send third information, the third information being used to indicate at least one of the following: the terminal's ability to support sampling-based measurements; the terminal's ability to support path-based measurements.
  • the second information is carried in the first message, which is a location protocol message.
  • embodiments of this disclosure provide a communication device, comprising: one or more processors; wherein the communication device is used to execute the communication method of the first aspect or the second aspect.
  • embodiments of this disclosure provide a communication system, including: a communication device; wherein the communication device is configured to perform the method as described in an optional implementation of the first or second aspect.
  • embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method as described in the optional implementations of the first or second aspect.
  • embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in the optional implementation of the first or second aspect.
  • embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in an optional implementation of the first or second aspect.
  • embodiments of this disclosure provide a chip or chip system.
  • the chip or chip system includes processing circuitry configured to perform the method described according to an optional implementation of the first or second aspect above.
  • This disclosure provides a communication method, a communication device, a communication system, and a storage medium.
  • the terms “communication method,” “information transmission method,” “information processing method,” and “information indication method” can be used interchangeably, as can the terms “information processing system” and “communication system.”
  • each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined.
  • a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged.
  • the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
  • multiple refers to two or more.
  • the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.
  • the notation "at least one of A and B", “A and/or B", “A in one case, B in another”, “in response to one case A, in response to another case B”, etc. may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.
  • the notation "A or B” may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.
  • the descriptive object is a "field,” the ordinal numbers preceding "field” in “first field” and “second field” do not restrict the position or order of the "fields.” "First” and “second” do not restrict whether the "fields” they modify are in the same message, nor do they restrict the order of "first field” and “second field.”
  • the descriptive object is a "level,” the ordinal numbers preceding "level” in “first level” and “second level” do not restrict the priority between “levels.”
  • the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in “first device,” the number of "devices" can be one or more.
  • the objects modified by different prefixes can be the same or different.
  • first device and second device can be the same device or different devices, and their types can be the same or different.
  • first information and second information can be the same information or different information, and their content can be the same or different.
  • “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
  • the terms “in response to...”, “in response to determining...”, “in the case of...”, “when...”, “if...”, “if...”, etc., can be used interchangeably.
  • the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.
  • devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments.
  • Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.
  • network can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).
  • terminal In some embodiments, the terms "terminal”, “terminal device”, “user equipment (UE)”, “user terminal”, “mobile station (MS)”, “mobile terminal (MT)", “subscriber station”, “mobile unit”, “subscriber unit”, “wireless unit”, “remote unit”, “mobile device”, “wireless communication device”, “remote device”, “mobile subscriber station”, “access terminal”, “mobile terminal”, “wireless terminal”, “remote terminal”, “handset”, “user agent”, “mobile client”, and “client” can be used interchangeably.
  • access network devices, core network devices, or network devices can be replaced by terminals.
  • embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.).
  • the structure can also be configured such that the terminal has all or part of the functions of the access network device.
  • terms such as "uplink” and “downlink” can be replaced with terms corresponding to communication between terminals (e.g., "sidelink”).
  • uplink channel, downlink channel, etc. can be replaced with sidelink channel
  • uplink link, downlink, etc. can be replaced with sidelink link.
  • the terminal may be replaced by an access network device, a core network device, or a network device.
  • the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.
  • the acquisition of data, information, etc. may comply with the laws and regulations of the country where the location is situated.
  • data, information, etc. may be obtained with the user's consent.
  • each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.
  • Figure 1A is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.
  • the communication system 100 includes a terminal 101 and a network device 102.
  • terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home, but is not limited thereto.
  • VR virtual reality
  • AR augmented reality
  • network device 102 may include access network device and/or core network device.
  • Access network equipment includes, for example, nodes or devices that connect terminals to a wireless network.
  • Access network equipment may include, but is not limited to, evolved Node B (eNB), next-generation evolved Node B (ng-eNB), next-generation Node B (gNB), next-generation radio access network (NG-RAN) nodes, node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul equipment, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in Wi-Fi system.
  • eNB evolved Node B
  • ng-eNB next-generation evolved Node B
  • gNB next-generation radio access network
  • NG-RAN next-generation radio access network
  • node B node B
  • HNB
  • the technical solutions of this disclosure can be applied to an Open Radio Access Network (Open RAN) architecture.
  • Open RAN Open Radio Access Network
  • the interfaces between or within access network devices involved in this disclosure can be internal interfaces of the Open RAN.
  • the processes and information interactions between these internal interfaces can be implemented by software or programs.
  • the access network device may be composed of a central unit (CU) and a distributed unit (DU).
  • the CU may also be called a control unit.
  • the CU-DU structure can separate the protocol layer of the access network device. Some protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.
  • a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of one or more network elements.
  • Network elements may be virtual or physical.
  • the core network may include, for example, at least one of an evolved packet core (EPC) network, a 5G core (5GC) network, and a next-generation core (NGC) network.
  • EPC evolved packet core
  • 5GC 5G core
  • NGC next-generation core
  • the core network device may include a first core network element, which may be used to provide location management functions.
  • the first core network element is an LMF (Local Management Function).
  • the following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1A, or to some of the main bodies, but are not limited thereto.
  • the main bodies shown in FIG1A are illustrative.
  • the communication system may include all or some of the main bodies in FIG1A, or it may include other main bodies outside of FIG1A.
  • the number and form of each main body are arbitrary.
  • the connection relationship between the main bodies is illustrative.
  • the main bodies may not be connected or may be connected.
  • the connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • LTE-B LTE-Beyond
  • Super 3G IMT-Advanced
  • 4G 4th Generation Mobile Communication System
  • 5G 5th Generation Mobile Communication System
  • 5G 5G New Radio
  • FAA New Radio Access Technology
  • RAT New Radio
  • NR New Radio Access
  • NX New Radio Access
  • FX Future Generation Radio Access
  • GSM Global System for Mobile Communications
  • CDMA2000 Ultra Mobile Broadband
  • UMB Ultra Mobile Broadband
  • IEEE 802.11 Wi-Fi
  • IEEE 802.16 WiMAX
  • IEEE 802.20 Ultra-wideband
  • Bluetooth a registered trademark
  • PLMN Public Land Mobile Network
  • D2D Device-to-device
  • M2M machine-to-machine
  • IoT Internet of Things
  • V2X vehicle-to-everything
  • AI/ML for example, using AI/ML for positioning.
  • AI-based positioning methods there may be multiple AI models for positioning, and different AI models can be used for different positioning application scenarios. That is, for different positioning application scenarios, different datasets can be used to train AI models, thus obtaining different AI models for different positioning application scenarios.
  • AI/ML “AI/ML model”, “AI/ML function”, “AI”, “AI model”, “AI function”, “ML”, “ML model”, “ML function”, “AI/ML model and/or AI/ML function” can be used interchangeably.
  • AI functionality can be associated with an AI model.
  • ML functionality can be associated with an ML model.
  • AI/ML functionality can be associated with an AI/ML model.
  • AI/ML model-based localization can include, but is not limited to, the following two methods:
  • Method 1 Direct AI/ML positioning.
  • the output of the AI/ML model is the terminal position.
  • Method 2 AI/ML-assisted positioning.
  • the output of the AI/ML model is a new measurement result and/or an enhancement of existing measurement results.
  • the output of the AI/ML model in AI/ML-assisted positioning can be at least one of the following: line of sight (LOS) indication, non-line of sight (NLOS) indication, time measurement, angle measurement, and measurement possibilities.
  • LOS line of sight
  • NLOS non-line of sight
  • Figure 1B is a schematic diagram of direct positioning based on an AI/ML model according to an embodiment of the present disclosure.
  • the input of the AI/ML model is the measurement result associated with the TRP (such as TRP0, TRP1, ..., TRP(N-1)) corresponding to the channel under test, where N is an integer greater than 2.
  • the output of the AI/ML model can be the terminal location.
  • direct localization based on AI/ML models may include, but is not limited to, the following three methods:
  • Method 1a Localization based on terminal-side model.
  • the AI/ML model is deployed on the terminal side, and the output of the AI/ML model is the terminal location.
  • Method 1b Terminal-assisted/LMF-based positioning.
  • the AI/ML model is deployed on the LMF side.
  • the terminal sends its own determined measurement results to the LMF via gNB.
  • the measurement results serve as the input to the AI/ML model on the LMF side, and the output of the AI/ML model is the terminal position.
  • Method 1c NG-RAN node-assisted localization based on LMF-side model.
  • the AI/ML model is deployed on the LMF side.
  • the gNB sends the measurement results determined by the terminal or the measurement results determined by the gNB to the LMF through the NG-RAN node.
  • the measurement results are used as the input of the AI/ML model on the LMF side, and the output of the AI/ML model is the terminal position.
  • FIG. 1C is a schematic diagram of AI/ML model-based assisted localization according to an embodiment of the present disclosure.
  • the input of the AI/ML model is associated with the TRPs of channel measurements (such as TRP0, TRP1, ..., TRP(N-1)), where N is an integer greater than 2, and the output of the AI/ML model is the measurement result.
  • AI/ML model-based assisted localization may include, but is not limited to, the following two methods:
  • Method 2a Terminal-assisted/LMF-based positioning.
  • the AI/ML model is deployed on the terminal side.
  • the terminal sends the output of the AI/ML model (e.g., measurement results based on the AI output) to the LMF via gNB.
  • the LMF determines the terminal location based on the measurement results output by the AI/ML model.
  • Method 2b NG-RAN node-assisted localization based on gNB-side model.
  • the AI/ML model is deployed on the gNB side.
  • the gNB sends the output of the AI/ML model (e.g., measurement results based on AI output) to the LMF through the NG-RAN node.
  • the LMF determines the terminal location based on the measurement results output by the AI/ML model.
  • the terminal may support sending at least one of the LOS indicator, NLOS indicator, and time information to the LMF.
  • the LOS/NLOS indicator can be a soft indicator or a hard indicator as defined in the protocol.
  • the time information may be the downlink reference signal time difference (DL RSTD) or the UE receive-transport time difference (UE Rx-Tx TD) defined in the protocol.
  • DL RSTD downlink reference signal time difference
  • UE Rx-Tx TD UE receive-transport time difference
  • time-domain channel measurements include two schemes: sample-based measurements and path-based measurements. If both sample-based and path-based measurements are supported, then during the localization process, it is necessary to determine whether to use sample-based measurements or path-based measurements to obtain the first measurement result.
  • the communication system includes a first device and a second device, and the AI model can be deployed on the first device or the second device.
  • the first device is used to provide location management functions.
  • the first device can be deployed in the core network or in the data network.
  • the first device can be a location server or a network node used for location services.
  • the first device is a first core network element, such as an LMF (Local Management Function).
  • the second device may be a terminal or an access network device.
  • the following example using LMF as the first device and the terminal as the second device, illustrates the terminal positioning process.
  • Figure 2A is one of the exemplary interactive diagrams of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 2A, the present disclosure relates to a communication method. Executed by a communication system 100, the communication method includes steps S2101 to S2105.
  • an AI model is deployed on the LMF.
  • step S2101 the terminal sends third information.
  • the LMF receives third information.
  • the third information is used to indicate at least one of the following: the terminal's ability to support sampling-based measurements, and the terminal's ability to support path-based measurements.
  • the terminal's support for sampling-based measurements includes either supporting sampling-based measurements or not supporting sampling-based measurements.
  • the third information may indicate that the terminal supports sample-based measurements, in which case steps S2102 to S2105 are executed. In another example, the third information may indicate that the terminal does not support sample-based measurements.
  • terminal support for sampling-based measurements includes: the terminal supporting sampling-based measurements to obtain measurements and the terminal not supporting sampling-based measurements to obtain measurements.
  • the measurement quantity may include at least one of the following: channel impulse response (CIR), power delay profile (PDP), delay profile (DP), RSTD, and UE Rx-Tx TD.
  • CIR channel impulse response
  • PDP power delay profile
  • DP delay profile
  • RSTD RSTD
  • UE Rx-Tx TD UE Rx-Tx TD
  • the third information may indicate that the terminal supports sample-based measurements to obtain RSTD and UE Rx-Tx TD. In another example, the third information may indicate that the terminal supports sample-based measurements to obtain CIR, PDP, and DP. In yet another example, the third information may indicate that the terminal does not support sample-based measurements to obtain RSTD and UE Rx-Tx TD.
  • the terminal's support for path-based measurements includes either supporting path-based measurements or not supporting path-based measurements.
  • the third information may indicate that the terminal supports path-based measurement; in this case, steps S2102 to S2105 are executed. In one example, the third information may indicate that the terminal does not support path-based measurement. In one example, the third information may indicate that the terminal does not support both sampling-based and path-based measurement; in this case, steps S2102 to S2105 are not executed.
  • terminal support for path-based measurement includes: obtaining measurement quantities when the terminal supports path-based measurement and obtaining measurement quantities when the terminal does not support path-based measurement.
  • the third information may indicate that the terminal supports path-based measurements to obtain CIR, PDP, and DP. In one example, the third information may indicate that the terminal supports path-based measurements to obtain RSTD and UE Rx-Tx TD. In one example, the third information may indicate that the terminal does not support path-based measurements to obtain RSTD and UE Rx-Tx TD.
  • the access network device sends third information.
  • step S2102 LMF sends the second information.
  • the terminal receives second information.
  • the second information is used to instruct the terminal to send a second measurement result.
  • the second measurement result is used for terminal positioning.
  • the second measurement result includes at least one of the following: a measurement result obtained based on sampling (referred to as a sampling measurement result) or a measurement result obtained based on path (referred to as a path measurement result).
  • the second information instructs the terminal to send the sampling measurement results. In another example, the second information instructs the terminal to send the path measurement results. In yet another example, the second information instructs the terminal to send both the sampling measurement results and the path measurement results.
  • the second information sent by the LMF can be determined based on the third information sent by the terminal, or the LMF can determine the second information itself based on its own implementation.
  • the second information is carried in the first message, and the second information is location request information.
  • the first message may be a location protocol message.
  • the location request information is commonIEsRequestLocationInformation.
  • the location request information is nr-DL-TDOA-RequestLocationInformation.
  • the location request information is nr-Multi-RTT-RequestLocationInformation.
  • the positioning protocol message is an LTE positioning protocol message, such as an LPP (LTE positioning protocol) message.
  • the positioning protocol message is an NR positioning protocol message, such as an NRPPa (NR positioning protocol A) message.
  • step S2102 can be omitted.
  • the terminal directly executes steps S2103 to S2105.
  • step S2103 the terminal obtains a second measurement result based on the sampled measurement and/or the path-based measurement.
  • the terminal when the second information instructs the terminal to send the sampling measurement result, the terminal obtains the second measurement based on the sampling measurement. Quantification results.
  • the terminal when the second information instructs the terminal to send path measurement results, the terminal obtains the second measurement results based on the path measurement.
  • the terminal when the second information instructs the terminal to send sampling measurement results and path measurement results, the terminal obtains the second measurement result based on the sampling measurement and the path-based measurement.
  • the terminal may choose to perform sampling-based measurements and/or path-based measurements based on its own capabilities.
  • the access network device obtains a second measurement result based on sampled measurements and/or path-based measurements.
  • the access network device may also obtain a second measurement result from the terminal.
  • step S2104 the terminal sends the second measurement result.
  • the LMF receives a second measurement result.
  • the terminal may also report the type of the second measurement result or the measurement method used to obtain the second measurement result when reporting the second measurement result.
  • the terminal sends the second measurement result and indication information, wherein the indication information is used to indicate that the second measurement result is a sampling measurement result and/or a path measurement result.
  • the terminal when the LMF sends the second information, since the LMF knows the type of the second measurement result or knows what measurement method the second measurement result is based on, the terminal does not need to send indication information, but only sends the second measurement result.
  • the access network device sends first information.
  • step S2105 LMF inputs the second measurement result into the AI model to obtain the terminal position output by the AI model.
  • the LMF inputs the sampled measurement result into the AI model to obtain the terminal position.
  • the LMF inputs the path measurement results into the AI model to obtain the terminal location.
  • the LMF can input the sampling measurement results into the AI model to obtain a first position, input the path measurement results into the AI model to obtain a second position, and determine the terminal position based on the first and second positions.
  • the LMF can also mix the sampling measurement results and path measurement results and input them into the AI model to obtain the terminal position.
  • step S2101 may be implemented as a standalone embodiment.
  • step S2102 may be implemented as a standalone embodiment.
  • step S2103 may be implemented as a standalone embodiment.
  • step S2104 may be implemented as a standalone embodiment.
  • step S2105 may be implemented as a standalone embodiment.
  • steps S2101 and S2102 may be combined as a single embodiment.
  • steps S2102 and S2103 may be combined as a single embodiment.
  • steps S2102, S2103, and S2104 may be combined as a single embodiment.
  • steps S2102, S2103, S2104, and S2105 may be combined as a single embodiment.
  • Figure 2B is a second exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 2B, the present disclosure relates to a communication method. Executed by a communication system 100, the communication method includes steps S2201 to S2205.
  • an AI model is deployed on the terminal.
  • step S2201 the terminal sends third information.
  • step S2201 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2202 LMF sends the second information.
  • the terminal receives second information.
  • the second information is used to indicate the terminal's location.
  • the terminal location is obtained by the terminal based on a second measurement result.
  • the second measurement result includes at least one of the following: a sampling measurement result, a path measurement result.
  • the second information is used to instruct the terminal to send the terminal location obtained based on the second measurement result.
  • the second information instructs the terminal to send its location determined based on the sampling measurement results. In another example, the second information instructs the terminal to send its location determined based on the path measurement results. In yet another example, the second information instructs the terminal to send its location determined based on both the sampling measurement results and the path measurement results.
  • the second information may also be used to indicate that the input to the AI model is a second measurement result.
  • the second information indicates that the input to the AI model is the sampled measurement result. In another example, the second information indicates that the input to the AI model is the path measurement result. In yet another example, the input to the AI model is both the sampled measurement result and the path measurement result.
  • the second information may also be used to instruct the terminal to send the terminal location obtained by inputting the second measurement result into the AI model.
  • the second information instructs the terminal to send its location, obtained by inputting the sampled measurement results into the AI model. In one example, The second information instructs the terminal to send its location, obtained by inputting the path measurement results into the AI model. In one example, the second information instructs the terminal to send its location, obtained by inputting the sampled measurement results and path measurement results into the AI model.
  • step S2202 can be omitted, and steps S2203 to S2205 can be executed directly.
  • step S2102 of FIG2A other contents of the second information can be found in step S2102 of FIG2A.
  • step S2203 the terminal performs sampling-based measurement and/or path-based measurement to obtain a second measurement result.
  • step S2203 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2204 the terminal inputs the second measurement result into the AI model to obtain the terminal position output by the AI model.
  • step S2204 can be found in the optional implementation of step S2105 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2205 the terminal sends its location.
  • the LMF receives the terminal location.
  • the terminal may also send the terminal location and a second measurement result.
  • the terminal when reporting the terminal location, may also report the type of measurement result used to obtain the terminal location.
  • the terminal sends the terminal location and indication information, whereby the indication information indicates that the terminal location is obtained based on the sampling measurement result and/or the path measurement result.
  • the terminal sends the terminal location, a second measurement result, and indication information, whereby the indication information indicates the type of the second measurement result.
  • step S2201 may be implemented as a standalone embodiment.
  • step S2202 may be implemented as a standalone embodiment.
  • step S2203 may be implemented as a standalone embodiment.
  • step S2204 may be implemented as a standalone embodiment.
  • step S2205 may be implemented as a standalone embodiment.
  • steps S2201 and S2202 may be combined as a standalone embodiment.
  • steps S2202 and S2203 may be combined as a standalone embodiment.
  • steps S2202, S2203, and S2204 may be combined as a standalone embodiment.
  • steps S2202, S2204, and S2205 may be combined as a standalone embodiment.
  • steps S2203, S2204, and S2205 may be combined as a standalone embodiment.
  • steps S2202, S2203, S2204 and S2205 can be combined as an embodiment to be implemented.
  • Figure 2C is a third exemplary interactive diagram of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 2C, the present disclosure relates to a communication method. Executed by a communication system 100, the communication method includes steps S2301 to S2306.
  • an AI model is deployed on the terminal.
  • step S2301 the terminal sends third information.
  • step S2301 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2302 LMF sends the second information.
  • the terminal receives second information.
  • the access network device receives third-party information.
  • the second information is used to instruct the terminal to send a first measurement result for terminal positioning, the first measurement result including the output obtained by inputting the second measurement result into the AI model.
  • the second measurement result includes at least one of the following: sampling measurement result, path measurement result.
  • the second piece of information is used to instruct the terminal to send the output obtained by inputting the sampled measurement results into the AI model.
  • the second piece of information is used to instruct the terminal to send the output obtained by inputting the path measurement results into the AI model.
  • the second information is used to instruct the terminal to send the output obtained by inputting the sampled measurement results and path measurement results into the AI model.
  • the output obtained by inputting the second measurement result into the AI model is the third measurement result.
  • the second information is used to instruct the terminal to send the third measurement result.
  • the third measurement result differs from the second measurement result, and the third measurement result is a new measurement result and/or an enhancement of the existing measurement result.
  • the second measurement result includes at least one of the following: CIR, PDP, DP.
  • the third measurement result includes at least one of the following: RSTD, UE Rx-Tx TD, Los indication, NLos indication, Reference Signal Receiving Power (RSRP), relative time of arrival (RTOA), and Reference Signal Received Path Power (RSRPP).
  • RSTD Reference Signal Receiving Power
  • RTOA relative time of arrival
  • RSSP Reference Signal Received Path Power
  • the first measurement result may further include a second measurement result. That is, the first measurement result may include: a second measurement result (i.e., the input to the AI model) and a third measurement result (i.e., the output of the AI model). In this case, the second information instructs the terminal to send the second measurement result and the third measurement result.
  • a second measurement result i.e., the input to the AI model
  • a third measurement result i.e., the output of the AI model
  • the second information may also be used to indicate that the input to the AI model is a second measurement result.
  • the second information indicates that the input to the AI model is the sampled measurement result. In another example, the second information indicates that the input to the AI model is the path measurement result. In yet another example, the second information indicates that the input to the AI model is both the sampled measurement result and the path measurement result.
  • step S2302 can be omitted, and steps S2303 to S2306 can be executed directly.
  • step S2102 of FIG2A other contents of the second information can be found in step S2102 of FIG2A.
  • step S2303 the terminal obtains a second measurement result based on the sampled measurement and/or the path-based measurement.
  • step S2303 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • the access network device obtains a second measurement result based on sampled measurements and/or path-based measurements.
  • step S2304 the terminal inputs the second measurement result into the AI model to obtain the third measurement result output by the AI model.
  • the terminal may input at least one of CIR, PDP and DP into the AI model to obtain at least one of Los, NLos, RSTD, UE Rx-Tx TD, RSRP, RTOA and RSRPP.
  • the access network device inputs the second measurement result into the AI model to obtain the third measurement result output by the AI model.
  • step S2305 the terminal sends the third measurement result.
  • the LMF receives a third measurement result.
  • the terminal may also send a second measurement result.
  • the terminal may also report the type of measurement result used to obtain the third measurement result when reporting the third measurement result.
  • the terminal sends the third measurement result and indication information, the indication information indicating that the third measurement result is obtained based on the sampling measurement result and/or the path measurement result.
  • the terminal sends the third measurement result, the second measurement result, and indication information, the indication information indicating the type of the second measurement result.
  • the access network device sends a third measurement result.
  • step S2306 the LMF determines the terminal location based on the third measurement result.
  • step S2301 may be implemented as a standalone embodiment.
  • step S2302 may be implemented as a standalone embodiment.
  • step S2303 may be implemented as a standalone embodiment.
  • step S2304 may be implemented as a standalone embodiment.
  • step S2305 may be implemented as a standalone embodiment.
  • step S2306 may be implemented as a standalone embodiment.
  • steps S2301 and S2302 may be combined as a standalone embodiment.
  • steps S2302 and S2303 may be combined as a standalone embodiment.
  • steps S2302, S2303, and S2304 may be combined as a standalone embodiment.
  • steps S2303, S2304, and S2305 may be combined as a standalone embodiment.
  • steps S2303, S2304, S2305 and S2306 can be combined as an embodiment to be implemented.
  • Figure 2D is a fourth exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 2D, the present disclosure relates to a communication method. Executed by a communication system 100, the communication method includes steps S2401 to S2405.
  • step S2401 the terminal sends third information.
  • step S2401 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2402 LMF sends the second information.
  • the terminal receives second information.
  • the second information is used to indicate the terminal's location.
  • the terminal location is determined based on a second measurement result, which includes at least one of the following: sampling measurement result and path measurement result.
  • the second information is used to instruct the terminal to send the terminal location determined based on the second measurement result.
  • the first information instructs the terminal to send its location determined based on the sampling measurement results.
  • the second information instructs the terminal to send its location determined based on the path measurement results.
  • the second information instructs the terminal to send its location determined based on both the sampling measurement results and the path measurement results.
  • step S2402 can be omitted, and steps S2403 to S2405 can be executed directly.
  • step S2102 of FIG2A other contents of the second information can be found in step S2102 of FIG2A.
  • step S2403 the terminal performs sampling-based measurement and/or path-based measurement to obtain a second measurement result.
  • step S2403 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • the access network device obtains a second measurement result based on sampled measurements and/or path-based measurements.
  • step S2404 the terminal determines its location using a non-AI-based positioning method based on the second measurement result.
  • the non-AI-based positioning method includes at least one of the following: positioning based on downlink time difference of arrival (TDOA), positioning based on angle of arrival (AOA), and positioning based on angle of departure (AOD).
  • Location tracking including multiple-round-trip-time (Multi-RTT) location tracking.
  • step S2405 the terminal sends its location.
  • the LMF receives the terminal location.
  • the terminal may also send a second measurement result.
  • the terminal may also report the type of measurement result used to obtain the terminal location when reporting the terminal location.
  • the terminal sends the terminal location and indication information, the indication information indicating that the terminal location is obtained based on the sampling measurement result and/or path measurement result.
  • the terminal sends the terminal location, the second measurement result, and indication information, the indication information indicating the type of the second measurement result.
  • step S2401 may be implemented as a standalone embodiment.
  • step S2402 may be implemented as a standalone embodiment.
  • step S2403 may be implemented as a standalone embodiment.
  • step S2404 may be implemented as a standalone embodiment.
  • step S2405 may be implemented as a standalone embodiment.
  • steps S2401 and S2402 may be combined as a single embodiment.
  • steps S2402 and S2403 may be combined as a single embodiment.
  • steps S2402, S2403, and S2404 may be combined as a single embodiment.
  • steps S2403, S2404, and S2405 may be combined as a single embodiment.
  • steps S2402, S2404, and S2405 may be combined as a single embodiment.
  • steps S2402, S2404, and S2405 may be combined as a single embodiment.
  • steps S2402, S2404, and S2405 may be combined as a single embodiment.
  • steps S2402, S2403, S2404 and S2405 can be combined as an embodiment to be implemented.
  • Figure 2E is a fifth exemplary interactive diagram of a communication method provided according to an embodiment of the present disclosure. As shown in Figure 2E, the present disclosure relates to a communication method. Executed by a communication system 100, the communication method includes steps S2501 to S2505.
  • step S2501 the terminal sends third information.
  • step S2501 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S2502 LMF sends the second information.
  • the terminal receives second information.
  • the access network device receives third-party information.
  • the second information is used to instruct the terminal to send a second measurement result for terminal positioning, the second measurement result including at least one of the following: sampling measurement result, path measurement result.
  • the second information is used to instruct the terminal to send the sampling measurement results. In one example, the second information is used to instruct the terminal to send the path measurement results. In one example, the second information is used to instruct the terminal to send both the sampling measurement results and the path measurement results.
  • step S2502 can be omitted, and steps S2503 to S2505 can be executed directly.
  • step S2102 of FIG2A other contents of the second information can be found in step S2102 of FIG2A.
  • step S2503 the terminal obtains a second measurement result based on the sampled measurement and/or the path-based measurement.
  • step S2503 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • the access network device obtains a second measurement result based on sampled measurements and/or path-based measurements.
  • step S2504 the terminal sends the second measurement result.
  • the LMF receives a second measurement result.
  • the terminal may also report the type of the second measurement result when reporting the second measurement result.
  • the terminal sends the second measurement result and indication information, whereby the indication information indicates that the second measurement result is a sampling measurement result and/or a path measurement result.
  • step S2505 the LMF determines the terminal location based on the second measurement result using a non-AI-based positioning method.
  • the non-AI-based localization method includes at least one of the following: TDOA localization, AOA localization, AOD localization, and Multi-RTT localization.
  • step S2501 may be implemented as a standalone embodiment.
  • step S2502 may be implemented as a standalone embodiment.
  • step S2503 may be implemented as a standalone embodiment.
  • step S2504 may be implemented as a standalone embodiment.
  • step S2505 may be implemented as a standalone embodiment.
  • steps S2501 and S2502 may be combined as a standalone embodiment.
  • steps S2502 and S2503 may be combined as a standalone embodiment.
  • steps S2502, S2503, and S2504 may be combined as a standalone embodiment.
  • steps S2502, S2504, and S2505 may be combined as a standalone embodiment.
  • steps S2503, S2504, and S2505 may be combined as a standalone embodiment.
  • steps S2502, S2503, S2504, and S2505 may be combined as a standalone embodiment.
  • steps S2502, S2503, S2504 and S2505 can be combined as an embodiment to be implemented.
  • sampling-based measurement and “sampling measurement” can be used interchangeably.
  • terms such as “path-based measurement” and “path measurement” may be used interchangeably.
  • AI-based positioning and “AI positioning” can be used interchangeably.
  • non-AI based positioning and “non-AI positioning” can be used interchangeably.
  • the names of information, etc. are not limited to the names described in the embodiments.
  • Terms such as “information”, “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “domain”, “field”, “symbol”, “symbol”, “codebook”, “codeword”, “codepoint”, “bit”, “data”, “program”, and “chip” can be used interchangeably.
  • the terms “carrying,” “including,” “containing,” and “encapsulating” can be used interchangeably.
  • radio wireless
  • RAN radio accessnetwork
  • AN accessnetwork
  • RAN-based radio access network
  • “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and/or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.
  • the terms “send,” “transmit,” “report,” “transfer,” “request,” “bidirectional transmission,” “send and/or receive,” etc. may be used interchangeably.
  • the terms “issue,” “return,” “feedback,” “response,” and “acknowledgement” can be used interchangeably.
  • terms such as “certain,” “preset,” “default,” “set,” “indicated,” “a certain,” “any,” and “first” can be used interchangeably.
  • “Certain A,” “preset A,” “default A,” “set A,” “indicated A,” “a certain A,” “any A,” and “first A” can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.
  • the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values (e.g., a comparison with a predetermined value), but is not limited thereto.
  • Figure 3A is a schematic flowchart illustrating one embodiment of the communication method performed by a first device according to an embodiment of the present disclosure. As shown in Figure 3A, the embodiment of the present disclosure relates to a communication method performed by a first device. The communication method includes steps S3101 to S3106.
  • step S3101 third information is received.
  • step S3101 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S3102 the second information is sent.
  • step S3102 can be found in the optional implementation of step S2102 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S3103 the first information is received.
  • step S3103 can be found in the optional implementations of step S2104 in Figure 2A, step S2205 in Figure 2B, step S2305 in Figure 2C, step S2405 in Figure 2D, step S2504 in Figure 2E, other related parts in the embodiments involved in Figure 2A, Figure 2B, Figure 2C, Figure 2D, and Figure 2E, and will not be repeated here.
  • the first information includes at least one of the following: terminal location, second measurement result, and third measurement result.
  • step S3104 the second measurement result is input into the AI model to obtain the terminal position output by the AI model.
  • step S3104 can be found in the optional implementation of step S2105 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S3105 the terminal position is determined based on the third measurement result.
  • step S3105 can be found in the optional implementation of step S2306 in Figure 2C and other related parts in the embodiments involved in Figure 2C, which will not be repeated here.
  • step S3106 based on the second measurement result, the terminal location is determined using a non-AI-based positioning method.
  • step S3106 can be found in the optional implementation of step S2505 in Figure 2E and other related parts in the embodiments involved in Figure 2E, which will not be repeated here.
  • step S3101 may be implemented as a standalone embodiment.
  • step S3102 may be implemented as a standalone embodiment.
  • Step S3103 can be implemented as a standalone embodiment.
  • step S3104 can be implemented as a standalone embodiment.
  • step S3105 can be implemented as a standalone embodiment.
  • steps S3101 and S3102 can be combined as a single embodiment.
  • steps S3102 and S3103 can be combined as a single embodiment.
  • steps S3101, S3102, and S3103 can be combined as a single embodiment.
  • steps S3102, S3103, and S3104 can be combined as a single embodiment.
  • steps S3101, S3102, S3103, and S3104 can be combined as a single embodiment.
  • steps S3103 and S3105 can be combined as a single embodiment.
  • steps S3102, S3103, and S3105 can be combined as a single embodiment.
  • steps S3101, S3102, S3103, and S3105 can be combined as one embodiment.
  • steps S3103 and S3106 can be combined as one embodiment.
  • steps S3102, S3103, and S3106 can be combined as one embodiment.
  • steps S3101, S3102, S3103, and S3106 can be combined as one embodiment.
  • Figure 3B is a second schematic flowchart illustrating the implementation of a communication method performed by a first device according to an embodiment of the present disclosure. As shown in Figure 3B, the embodiment of the present disclosure relates to a communication method performed by a first device.
  • the communication method includes step S3201.
  • step S3201 the first information is received.
  • step S3201 can be found in the optional implementations of step S2104 in Figure 2A, step S2205 in Figure 2B, step S2305 in Figure 2C, step S2405 in Figure 2D, step S2504 in Figure 2E, other related parts in the embodiments involved in Figure 2A, Figure 2B, Figure 2C, Figure 2D, and Figure 2E, and will not be repeated here.
  • Figure 4A is one of the flowcharts illustrating a communication method performed by a second device according to an embodiment of the present disclosure. As shown in Figure 4A, the present disclosure relates to a communication method performed by a second device. The communication method includes steps S4101 to S4107.
  • step S4101 the third information is sent.
  • step S4101 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S4102 the second information is received.
  • step S4102 can be found in the optional implementation of step S2102 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S4103 sampling-based measurement and/or path-based measurement are performed to obtain a second measurement result.
  • step S4103 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.
  • step S4104 the second measurement result is input into the AI model to obtain the terminal position output by the AI model.
  • step S4104 can be found in the optional implementation of step S2204 in Figure 2B and other related parts in the embodiments involved in Figure 2B, which will not be repeated here.
  • step S4105 the second measurement result is input into the AI model to obtain the third measurement result output by the AI model.
  • step S4105 can be found in the optional implementation of step S2304 in Figure 2C and other related parts in the embodiments involved in Figure 2C, which will not be repeated here.
  • step S4106 based on the second measurement result, the terminal location is determined using a non-AI-based positioning method.
  • step S4106 can be found in the optional implementation of step S2404 in Figure 2D and other related parts in the embodiments involved in Figure 2D, which will not be repeated here.
  • step S4107 the first message is sent.
  • step S4107 can be found in the optional implementations of step S2104 in Figure 2A, step S2205 in Figure 2B, step S2305 in Figure 2C, step S2405 in Figure 2D, step S2504 in Figure 2E, other related parts in the embodiments involved in Figure 2A, Figure 2B, Figure 2C, Figure 2D, and Figure 2E, and will not be repeated here.
  • the first information includes at least one of the following: terminal location, second measurement result, and third measurement result.
  • step S4101 may be implemented as a standalone embodiment.
  • step S4102 may be implemented as a standalone embodiment.
  • step S4103 may be implemented as a standalone embodiment.
  • step S4104 may be implemented as a standalone embodiment.
  • step S4105 may be implemented as a standalone embodiment.
  • step S4106 may be implemented as a standalone embodiment.
  • step S4107 may be implemented as a standalone embodiment.
  • steps S4101 and S4102 may be combined as a single embodiment.
  • Steps S4102 and S4103 may be combined as a single embodiment.
  • steps S4102, S4103, and S4104 may be combined as a single embodiment.
  • steps S4102, S4103, S4104, and S4107 may be combined as a single embodiment.
  • steps S4101, S4102, S4103, and S4104 Steps S4101, S4102, S4103, S4105, and S4107 can be combined as one embodiment.
  • steps S4101, S4102, S4103, S4105, and S4107 can be combined as one embodiment.
  • steps S4102, S4103, S4106, and S4107 can be combined as one embodiment.
  • steps S4101, S4102, S4103, S4106, and S4107 can be combined as one embodiment.
  • Figure 4B is a second schematic flowchart illustrating a communication method performed by a second device according to an embodiment of the present disclosure. As shown in Figure 4B, this embodiment of the present disclosure relates to a communication method performed by a second device.
  • the communication method includes step S4201.
  • step S4201 the first information is sent.
  • step S4201 can be found in the optional implementations of step S2104 in Figure 2A, step S2205 in Figure 2B, step S2305 in Figure 2C, step S2405 in Figure 2D, step S2504 in Figure 2E, other related parts in the embodiments involved in Figure 2A, Figure 2B, Figure 2C, Figure 2D, and Figure 2E, and will not be repeated here.
  • the LMF entity requests the UE or gNB to report location-related measurement results obtained from sampling-based measurements and/or path-based measurements.
  • the LMF entity requests the UE to determine the UE's location based on measurements obtained from sampled measurements and/or path-based measurements.
  • the LMF entity requests the measurement results obtained by the UE and/or gNB based on sampled measurements and/or path-based measurements as input to the AI model.
  • the LMF entity requests the UE and /gNB to report AI model input results for the network, such as CIR, PDP, DP.
  • the LMF entity requests the UE/gNB to report measurement results obtained from sampling measurements for non-AI positioning, such as RSTD obtained from sampling measurements, UE Rx-Tx time difference obtained from sampling measurements, UL RTOA obtained from sampling measurements, and gNB Rx-Tx time difference obtained from sampling measurements.
  • measurement results obtained from sampling measurements for non-AI positioning such as RSTD obtained from sampling measurements, UE Rx-Tx time difference obtained from sampling measurements, UL RTOA obtained from sampling measurements, and gNB Rx-Tx time difference obtained from sampling measurements.
  • the LMF entity when the LMF entity requests the UE to use AI-based positioning, it instructs the UE to determine the UE's location using measurement results obtained from sampling-based measurements and/or path-based measurements.
  • the UE and/or, when reporting measurement results indicates that the measurement results are either measurements obtained based on sampling or measurements obtained based on path.
  • the indication can be defined by defining a new measurement result IE, or by defining a result type indication IE.
  • the LMF entity indicates/requests the UE via an LPP message, for example, by instructing the UE with at least one of the following:
  • the LMF entity indicates/requests the gNB via NRPPa messages, such as the measurement request message.
  • the UE reports its ability to obtain measurement results from sampling-based measurements and/or path-based measurements. For example, the UE supports obtaining RSTD from sampling-based measurements, the UE supports obtaining Rx-Tx time difference from sampling-based measurements, the UE supports obtaining CIR, DP and PDP from sampling-based measurements, and the UE supports obtaining CIR, DP and PDP from path-based measurements.
  • a terminal is provided, which includes units or modules for implementing the steps performed by the terminal in any of the above methods.
  • another access network device is also provided, including units or modules for implementing the steps performed by the access network device in any of the above methods.
  • the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated.
  • the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device.
  • the processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device.
  • the units or modules in the device can be implemented in the form of hardware circuits.
  • the functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors.
  • the hardware circuit is an application-specific integrated circuit (ASIC), and the functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit.
  • the hardware circuit can be implemented using a programmable logic device (PLD), such as a field-programmable gate array (FPGA), which can include a large number of logic gates.
  • PLD programmable logic device
  • FPGA field-programmable gate array
  • All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-initiated software.
  • the processor implements the functionality through software calls, while the remaining parts are implemented through hardware circuitry.
  • the processor is a circuit with signal processing capabilities.
  • the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP).
  • the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable.
  • the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA.
  • ASIC application-specific integrated circuit
  • PLD programmable logic device
  • the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules.
  • it can also be hardware circuits designed for artificial intelligence, which can be understood as ASICs, such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.
  • ASICs such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.
  • FIG. 5 is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure.
  • the communication device 5100 may include a transceiver module 5101.
  • the communication device 5100 is a first device (e.g., a positioning server, a network node providing positioning management functions), and the transceiver module 5101 is used to receive first information sent by the second device.
  • the first information includes a first measurement result and/or a terminal location.
  • the first measurement result is obtained based on a second measurement result, and the second measurement result includes at least one of the following: a measurement result obtained based on sampling, and a measurement result obtained based on path measurement.
  • the transceiver module 5101 is used to perform at least one of the communication steps (e.g., steps S3101, S3102, and S3103, but not limited thereto) performed by the first device in any of the above methods, which will not be elaborated here.
  • the communication device 5100 is a second device (e.g., a terminal, an access network device), and the transceiver module 5101 is used to send first information to the first device.
  • the first information includes a first measurement result and/or the terminal location.
  • the first measurement result is obtained based on a second measurement result, which includes at least one of the following: a measurement result obtained based on sampling, or a measurement result obtained based on path measurement.
  • the transceiver module 5101 is also used to perform at least one of the communication steps (e.g., steps S4101, S4102, S4103, and S4107, but not limited thereto) performed by the second device in any of the above methods, which will not be elaborated here.
  • the transceiver module described above may include a transmitting module and/or a receiving module.
  • the transmitting module and the receiving module may be separate or integrated together.
  • the transceiver module described above may be interchangeable with a transceiver.
  • FIG. 6 is a schematic diagram of the structure of a communication device provided according to an embodiment of this disclosure.
  • the communication device 6100 can be a first device (e.g., a positioning server, a network node providing positioning management functions), a second device (e.g., a terminal or access network device), a chip, chip system, or processor that supports the first device in implementing any of the above methods, or a chip, chip system, or processor that supports the second device in implementing any of the above methods.
  • the communication device 6100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.
  • the communication device 6100 includes one or more processors 6101.
  • the processor 6101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU).
  • the baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data.
  • the communication device 6100 can be used to execute any of the above methods.
  • one or more processors 6101 can be used to invoke instructions to cause the communication device 6100 to execute any of the above methods.
  • the communication device 6100 further includes one or more transceivers 6102.
  • the transceivers 6102 perform at least one of the communication steps such as sending and/or receiving in the above method (e.g., steps S3101, S3102, S3103, S4101, S4102, S4107, but not limited thereto), and the processor 6101 performs at least one of other steps (e.g., steps S3104, S3105, S3106, S4103, S4104, S4105, S4106, but not limited thereto).
  • the transceiver 6102 may include a receiver and/or a transmitter, which may be separate or integrated together.
  • transceiver transceiver unit, transceiver, transceiver circuit, interface circuit, and interface
  • terms such as transmitter, transmitting unit, transmitter, and transmitting circuit can be used interchangeably
  • terms such as receiver, receiving unit, receiver, and receiving circuit can be used interchangeably.
  • the communication device 6100 further includes one or more memories 6103 for storing data.
  • the memories 6103 may be located outside the communication device 6100.
  • the communication device 6100 may include one or more interface circuits 6104.
  • the interface circuits 6104 are connected to the memories 6103 and can be used to receive data from the memories 6103 or other devices, and to send data to the memories 6103 or other devices.
  • the interface circuits 6104 can read data stored in the memories 6103 and send that data to the processor 6101.
  • the communication device 6100 described in the above embodiments can be an access network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 is not limited to FIG. 6.
  • the communication device can be a standalone device or a more complex device. Part of a large device.
  • a communication device can be: (1) a standalone integrated circuit IC, or chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally including storage components for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.
  • Figure 7 is a schematic diagram of the structure of a chip provided according to an embodiment of the present disclosure.
  • the communication device 6100 can be a chip or a chip system, please refer to the schematic diagram of the chip 7100 shown in Figure 7, but it is not limited thereto.
  • Chip 7100 includes one or more processors 7101. Chip 7100 is used to perform any of the above methods.
  • chip 7100 further includes one or more interface circuits 7102.
  • interface circuits 7102 include one or more memories 7103 for storing data.
  • all or part of the memories 7103 may be located outside chip 7100.
  • interface circuit 7102 is connected to memory 7103, and interface circuit 7102 can be used to receive data from memory 7103 or other devices, and interface circuit 7102 can be used to send data to memory 7103 or other devices.
  • interface circuit 7102 can read data stored in memory 7103 and send the data to processor 7101.
  • the interface circuit 7102 performs at least one of the communication steps such as sending and/or receiving in the above-described method (e.g., steps S3101, S3102, S3103, S4101, S4102, S4107, but not limited thereto).
  • the interface circuit 7102 performing the communication steps such as sending and/or receiving in the above-described method refers, for example, to the interface circuit 7102 performing data interaction between the processor 7101, the chip 7100, the memory 7103, or the transceiver device.
  • the processor 7101 performs at least one of other steps (e.g., steps S3104, S3105, S3106, S4103, S4104, S4105, S4106, but not limited thereto).
  • modules and/or devices described in the various embodiments can be combined or separated arbitrarily as needed.
  • some or all steps can also be performed collaboratively by multiple modules and/or devices, which is not limited here.
  • This disclosure also proposes a storage medium storing instructions that, when executed on a communication device 6100, cause the communication device 6100 to perform any of the methods described above.
  • the storage medium is an electronic storage medium.
  • the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices.
  • the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.
  • This disclosure also provides a program product that, when executed by a communication device 6100, causes the communication device 6100 to perform any of the above methods.
  • the program product is a computer program product.
  • This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

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Abstract

本公开实施例涉及一种通信方法、通信设备、通信系统及存储介质。该通信方法可以由第一设备执行，该方法包括：接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。本公开第一设备基于第一信息确定第二设备所使用的测量方法或上报的测量结果的类型，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。

Description

通信方法、通信设备、通信系统及存储介质 技术领域
本公开涉及通信技术领域，尤其涉及一种通信方法、通信设备、通信系统及存储介质。
背景技术
在通信系统中，终端可以对参考信号进行定位测量，将测量结果上报给网络侧的定位管理功能(location management function，LMF)实体，由LMF基于测量结果确定终端位置。随着通信技术的发展，还可以采用人工智能(artificial intelligence，AI)/机器学习(machine learning，ML)模型之类的模型进行定位。
发明内容
定位测量包括基于采样的测量和基于路径的测量，在定位过程中，如何确定使用何种测量方法是亟待解决的问题。
本公开实施例提出了一种通信方法、通信设备、通信系统及存储介质。
根据本公开实施例的第一方面，提出了通信方法，由第一设备执行，该方法包括：接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
根据本公开实施例的第二方面，提出了通信方法，由第二设备执行，该方法包括：向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
根据本公开实施例的第三方面，提出了一种通信设备，包括：收发模块，被配置为接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
根据本公开实施例的第四方面，提出了一种通信设备，包括：收发模块，被配置为向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
根据本公开实施例的第五方面，提出了一种通信设备，包括：一个或多个处理器；其中，通信设备用于执行如第一方面或第二方面的通信方法。
根据本公开实施例的第六方面，提出了一种通信系统，包括通信设备，其中，通信设备被配置为实现如第一方面或第二方面的通信方法。
根据本公开实施例的第七方面，提出了一种存储介质，存储介质存储有指令，当指令在通信设备上运行时，使得通信设备执行如第一方面或第二方面的通信方法。
根据本公开实施例的第八方面，提出了一种计算机程序产品，包括计算机程序，计算机程序被处理器执行时实现第一方面或第二方面所述的通信方法。
根据本公开实施例的第九方面，提出了一种计算机程序，该计算机程序包括代码，代码在被处理器执行时实现第一方面或第二方面所述的通信方法。
根据本公开实施例的第十方面，提供了一种芯片或芯片系统。该芯片或芯片系统包括处理电路。处理电路被配置为执行如第一方面或第二方面所述的通信方法。
本公开实施例提供的技术方案，第一设备接收第二设备发送的第一信息，第一信息包括第一测量结果和/或终端位置，第一测量结果是根据第二测量结果得到的，第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。第一设备基于第一信息确定第二设备所使用的测量方法或上报的测量结果的类型，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。
附图说明
为了更清楚地说明本公开实施例中的技术方案，以下对实施例描述所需的附图进行介绍，以下附图仅仅是本公开的一些实施例，不对本公开的保护范围造成具体限制。
图1A是根据本公开实施例示出的通信系统的一种架构示意图；
图1B是根据本公开实施例示出的基于AI/ML模型的直接定位的示意图；
图1C是根据本公开实施例示出的基于AI/ML模型的辅助定位的示意图；
图2A是根据本公开实施例示出的通信方法的示例性交互图之一；
图2B是根据本公开实施例示出的通信方法的示例性交互图之二；
图2C是根据本公开实施例示出的通信方法的示例性交互图之三；
图2D是根据本公开实施例示出的通信方法的示例性交互图之四；
图2E是根据本公开实施例示出的通信方法的示例性交互图之五；
图3A是根据本公开实施例示出的第一设备侧执行通信方法的流程示意图之一；
图3B是根据本公开实施例示出的第一设备侧执行通信方法的流程示意图之二；
图4A是根据本公开实施例示出的第二设备侧执行通信方法的流程示意图之一；
图4B是根据本公开实施例示出的第二设备侧执行通信方法的流程示意图之二；
图5是本公开实施例提出的通信设备的一种结构示意图；
图6是本公开实施例提出的通信设备的一种结构示意图；
图7是本公开实施例提出的芯片的一种结构示意图。
具体实施方式
本公开实施例提出了一种通信方法、通信设备、通信系统及存储介质。
第一方面，本公开实施例提出了一种通信方法，由第一设备执行，该方法包括：接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
在本公开实施例中，第一设备基于第一信息，可以确定第二设备所使用的测量方法或上报的测量结果的类型，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。
结合第一方面的一些实施例，在一些实施例中，第一测量结果包括以下之一：所述第二测量结果、由所述第二测量结果输入AI模型所得到的输出。
在本公开实施例中，第二设备上报的第一测量结果包括由第二测量结果输入AI模型所得到的输出，此时，第一设备可以基于第一信息，确定AI模型的输入为何种测量方法所得到的测量结果或AI模型的输入为何种类型的测量结果，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。
结合第一方面的一些实施例，在一些实施例中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
本公开实施例中，第二设备上报的终端位置是基于第二测量结果确定的，此时，第一设备基于第一信息，可以确定终端位置是基于何种测量结果的类型确定的，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。
结合第一方面的一些实施例，在一些实施例中，方法还包括：发送第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
在本公开实施例中，第一设备可以指示第二设备上报第一测量结果或终端位置，也就是说，第一设备可以指示第二设备上报的测量结果的类型或使用的测量方法，以使第一设备和第二设备对终端定位过程中的测量达成统一的理解。
结合第一方面的一些实施例，在一些实施例中，第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
结合第一方面的一些实施例中，在一些实施例中，第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果。
结合第一方面的一些实施例，在一些实施例中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
结合第一方面的一些实施例，在一些实施例中，所述第一设备位于核心网，所述第二设备为终端和/或接入网设备。
结合第一方面的一些实施例，在一些实施例中，第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送根据第二测量结果得到的所述终端位置。
结合第一方面的一些实施例，在一些实施例中，基于非AI的定位，包括以下至少之一：到达时间差TDOA的定位；到达角AOA的定位；离开角AOD的定位；多个往返时间Multi-RTT的定位。
结合第一方面的一些实施例，在一些实施例中，方法还包括：接收第三信息，所述第三信息用于指示以下至少之一：终端对基于采样的测量的支持能力；终端对基于路径的测量的支持能力。
本公开实施例中，第二设备可以上报终端关于基于采样的测量和/或基于路径的测量的支持能力，第一设备可以基于终端的能力确定发送的第二信息。
结合第一方面的一些实施例，在一些实施例中，第二信息携带于第一消息中，所述第一消息为定位协议消息。
第二方面，本公开实施例提出了一种通信方法，由第二设备执行，该方法包括：向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
结合第二方面的一些实施例，在一些实施例中，第一测量结果包括以下之一：所述第二测量结果；由所述第二测量结果输入AI模型所得到的输出。
结合第二方面的一些实施例，在一些实施例中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
结合第二方面的一些实施例，在一些实施例中，所述方法还包括：接收第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
结合第二方面的一些实施例，在一些实施例中，第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括第一测量结果。
结合第二方面的一些实施例，在一些实施例中，第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果，所述第一信息包括所述终端位置，或者所述第一信息包括所述第一测量结果和所述终端位置。
结合第二方面的一些实施例，在一些实施例中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括所述第一测量结果。
结合第二方面的一些实施例，在一些实施例中，所述第一设备位于核心网，所述第二设备为终端和/或接入网设备。
结合第二方面的一些实施例，在一些实施例中，所述第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述终端位置，所述终端位置根据所述第一测量结果得到。
结合第二方面的一些实施例，在一些实施例中，基于非AI的定位，包括以下至少之一：到达时间差TDOA的定位；到达角AOA的定位；离开角AOD的定位；多个往返时间Multi-RTT的定位。
结合第二方面的一些实施例，在一些实施例中，方法还包括：发送第三信息，所述第三信息用于指示以下至少之一：终端对基于采样的测量的支持能力；终端对基于路径的测量的支持能力。
结合第二方面的一些实施例，在一些实施例中，第二信息携带于第一消息中，所述第一消息为定位协议消息。
第三方面，本公开实施例提出了一种通信设备，包括：收发模块，被配置为接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
结合第三方面的一些实施例，在一些实施例中，第一测量结果包括以下之一：所述第二测量结果、由所述第二测量结果输入AI模型所得到的输出。
结合第三方面的一些实施例，在一些实施例中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
结合第三方面的一些实施例，在一些实施例中，收发模块还被配置为发送第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
结合第三方面的一些实施例，在一些实施例中，第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
结合第三方面的一些实施例，在一些实施例中，第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果。
结合第三方面的一些实施例，在一些实施例中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
结合第三方面的一些实施例，在一些实施例中，所述第一设备位于核心网，所述第二设备为终端和/或接入网设备。
结合第三方面的一些实施例，在一些实施例中，第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送根据第二测量结果得到的所述终端位置。
结合第三方面的一些实施例，在一些实施例中，基于非AI的定位，包括以下至少之一：到达时间差TDOA的定位；到达角AOA的定位；离开角AOD的定位；多个往返时间Multi-RTT的定位。
结合第三方面的一些实施例，在一些实施例中，收发模块还被配置为接收第三信息，所述第三信息用于指示以下至少之一：终端对基于采样的测量的支持能力；终端对基于路径的测量的支持能力。
结合第三方面的一些实施例，在一些实施例中，第二信息携带于第一消息中，所述第一消息为定位协议消息。
第四方面，本公开实施例提出了一种通信设备，包括：收发模块，被配置为向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
结合第四方面的一些实施例，在一些实施例中，第一测量结果包括以下之一：所述第二测量结果；由所述第二测量结果输入AI模型所得到的输出。
结合第四方面的一些实施例，在一些实施例中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
结合第四方面的一些实施例，在一些实施例中，收发模块还被配置为接收第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
结合第四方面的一些实施例，在一些实施例中，第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括第一测量结果。
结合第四方面的一些实施例，在一些实施例中，第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果，所述第一信息包括所述终端位置，或者所述第一信息包括所述第一测量结果和所述终端位置。
结合第四方面的一些实施例，在一些实施例中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括所述第一测量结果。
结合第四方面的一些实施例，在一些实施例中，所述第一设备位于核心网，所述第二设备为终端和/或接入网设备。
结合第四方面的一些实施例，在一些实施例中，所述第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述终端位置，所述终端位置根据所述第一测量结果得到。
结结合第四方面的一些实施例，在一些实施例中，基于非AI的定位，包括以下至少之一：到达时间差TDOA的定位；到达角AOA的定位；离开角AOD的定位；多个往返时间Multi-RTT的定位。
结合第四方面的一些实施例，在一些实施例中，收发模块还被配置为发送第三信息，所述第三信息用于指示以下至少之一：终端对基于采样的测量的支持能力；终端对基于路径的测量的支持能力。
结合第四方面的一些实施例，在一些实施例中，第二信息携带于第一消息中，所述第一消息为定位协议消息。
第五方面，本公开实施例提出了一种通信设备，包括：一个或多个处理器；其中，通信设备用于执行第一方面或第二方面的通信方法。
第六方面，本公开实施例提出了一种通信系统，包括：通信设备；其中，通信设备被配置为执行如第一方面或第二方面的可选实现方式所描述的方法。
第七方面，本公开实施例提出了一种存储介质，上述存储介质存储有指令，当上述指令在通信设备上运行时，使得上述通信设备执行如第一方面或第二方面的可选实现方式所描述的方法。
第八方面，本公开实施例提出了一种程序产品，上述程序产品被通信设备执行时，使得上述通信设备执行如第一方面或第二方面的可选实现方式所描述的方法。
第九方面，本公开实施例提出了一种计算机程序，当其在计算机上运行时，使得计算机执行如第一方面或第二方面的可选实现方式所描述的方法。
第十方面，本公开实施例提供了一种芯片或芯片系统。该芯片或芯片系统包括处理电路，被配置为执行根据上述第一方面或第二方面的可选实现方式所描述的方法。
可以理解地，上述通信设备、通信系统、存储介质、程序产品、计算机程序、芯片或芯片系统均用于执行本公开实施例所提出的方法。因此，其所能达到的有益效果可以参考对应方法中的有益效果，此处不再赘述。
本公开实施例提出了一种通信方法、通信设备、通信系统及存储介质。在一些实施例中，通信方法与信息传输方法、信息处理方法、信息指示方法等术语可以相互替换，信息处理系统、通信系统等术语可以相互替换。
本公开实施例并非穷举，仅为部分实施例的示意，不作为对本公开保护范围的具体限制。在不矛盾的情况下，某一实施例中的每个步骤均可以作为独立实施例来实施，且各步骤之间可以任意组合，例如，在某一实施例中去除部分步骤后的方案也可以作为独立实施例来实施，且在某一实施例中各步骤的顺序可以任意交换，另外，某一实施例中的可选实现方式可以任意组合；此外，各实施例之间可以任意组合，例如，不同实施例的部分或全部步骤可以任意组合，某一实施例可以与其他实施例的可选实现方式任意组合。
在各本公开实施例中，如果没有特殊说明以及逻辑冲突，各实施例之间的术语和/或描述具有一致性，且可以互相引用，不同实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。
本公开实施例中所使用的术语只是为了描述特定实施例的目的，而并非作为对本公开的限制。
在本公开实施例中，除非另有说明，以单数形式表示的元素，如“一个”、“一种”、“该”、“上述”、“”、“前述”、“这一”等，可以表示“一个且只有一个”，也可以表示“一个或多个”、“至少一个”等。例如，在翻译中使用如英语中的“a”、“an”、“the”等冠词(article)的情况下，冠词之后的名词可以理解为单数表达形式，也可以理解为复数表达形式。
在本公开实施例中，“多个”是指两个或两个以上。
在一些实施例中，“至少一者(至少一项、至少一个)(at least one of)”、“一个或多个(one or more)”、“多个(a plurality of)”、“多个(multiple)等术语可以相互替换。
在一些实施例中，“A、B中的至少一者”、“A和/或B”、“在一情况下A，在另一情况下B”、“响应于一情况A，响应于另一情况B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)；在一些实施例中A和B(A和B都被执行)。当有A、B、C等更多分支时也类似上述。
在一些实施例中，“A或B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)。当有A、B、C等更多分支时也类似上述。
本公开实施例中的“第一”、“第二”等前缀词，仅仅为了区分不同的描述对象，不对描述对象的位置、顺序、优先级、数量或内容等构成限制，对描述对象的陈述参见权利要求或实施例中上下文的描述，不应因为使用前缀词而构成多余的限制。例如，描述对象为“字段”，则“第一字段”和“第二字段”中“字段”之前的序数词并不限制“字段”之间的位置或顺序，“第一”和“第二”并不限制其修饰的“字段”是否在同一个消息中，也不限制“第一字段”和“第二字段”的先后顺序。再如，描述对象为“等级”，则“第一等级”和“第二等级”中“等级”之前的序数词并不限制“等级”之间的优先级。再如，描述对象的数量并不受序数词的限制，可以是一个或者多个，以“第一装置”为例，其中“装置”的数量可以是一个或者多个。此外，不同前缀词修饰的对象可以相同或不同，例如，描述对象为“装置”，则“第一装置”和“第二装置”可以是相同的装置或者不同的装置，其类型可以相同或不同；再如，描述对象为“信息”，则“第一信息”和“第二信息”可以是相同的信息或者不同的信息，其内容可以相同或不同。
在一些实施例中，“包括A”、“包含A”、“用于指示A”、“携带A”，可以解释为直接携带A，也可以解释为间接指示A。
在一些实施例中，“响应于……”、“响应于确定……”、“在……的情况下”、“在……时”、“当……时”、“若……”、“如果……”等术语可以相互替换。
在一些实施例中，“大于”、“大于或等于”、“不小于”、“多于”、“多于或等于”、“不少于”、“高于”、“高于或等于”、“不低于”、“以上”等术语可以相互替换，“小于”、“小于或等于”、“不大于”、“少于”、“少于或等于”、“不多于”、“低于”、“低于或等于”、“不高于”、“以下”等术语可以相互替换。
在一些实施例中，装置等可以解释为实体的、也可以解释为虚拟的，其名称不限定于实施例中所记载的名称，“装置”、“设备(equipment)”、“设备(device)”、“电路”、“网元”、“节点”、“功能”、“单元”、“部件(section)”、“系统”、“网络”、“芯片”、“芯片系统”、“实体”、“主体”等术语可以相互替换。
在一些实施例中，“网络”可以解释为网络中包含的装置(例如，接入网设备、核心网设备等)。
在一些实施例中，“网络设备(network devices)”、“接入网设备(access network device，AN device)”、“无线接入网设备(radio access network device，RAN device)”、“基站(base station，BS)”、“无线基站(radio base station)”、“固定台(fixed station)”、“节点(node)”、“接入网节点”、“接入点(access point)”、“发送点(transmission point，TP)”、“接收点(reception point，RP)”、“发送和/或接收点(transmission/reception point，TRP)”、“面板(panel)”、“天线面板(antenna panel)”、“天线阵列(antenna array)”、“小区(cell)”、“宏小区(macro cell)”、“小型小区(small cell)”、“微蜂窝小区(femtocell)”、“微微小区(picocell)”、“扇区(sector)”、“小区组(cell group)”、“服务小区”、“载波(carrier)”、“分量载波(component carrier)”、“带宽部分(bandwidth part，BWP)”等术语可以相互替换。
在一些实施例中，“终端(terminal)”、“终端设备(terminal device)”、“用户设备(user equipment，UE)”、“用户终端(user terminal)”、“移动台(mobile station，MS)”、“移动终端(mobile terminal，MT)”、订户站(subscriber station)、移动单元(mobile unit)、订户单元(subscriber unit)、无线单元(wireless unit)、远程单元(remote unit)、移动设备(mobiledevice)、无线设备(wireless device)、无线通信设备(wireless communication device)、远程设备(remote device)、移动订户站(mobile subscriber station)、接入终端(access terminal)、移动终端(mobile terminal)、无线终端(wireless terminal)、远程终端(remote terminal)、手持设备(handset)、用户代理(user agent)、移动客户端(mobile client)、客户端(client)等术语可以相互替换。
在一些实施例中，接入网设备、核心网设备、或网络设备可以被替换为终端。例如，针对将接入网设备、核心网设备、或网络设备以及终端间的通信置换为多个终端间的通信(例如，设备对设备(device-to-device，D2D)、车联网(vehicle-to-everything，V2X)等)的结构，也可以应用本公开的各实施例。在该情况下，也可以设为终端具有接入网设备所具有的全部或部分功能的结构。此外，“上行”、“下行”等术语也可以被替换为与终端间通信对应的术语(例如，“侧行(side)”)。例如，上行信道、下行信道等可以被替换为侧行信道，上行链路、下行链路等可以被替换为侧行链路。
在一些实施例中，终端可以被替换为接入网设备、核心网设备、或网络设备。在该情况下，也可以设为接入网设备、核心网设备、或网络设备具有终端所具有的全部或部分功能的结构。
在一些实施例中，获取数据、信息等可以遵照所在地国家的法律法规。
在一些实施例中，可以在得到用户同意后获取数据、信息等。
此外，本公开实施例的表格中的每一元素、每一行、或每一列均可以作为独立实施例来实施，任意元素、任意行、任意列的组合也可以作为独立实施例来实施。
图1A是根据本公开实施例示出的通信系统的一种架构示意图。如图1A所示，通信系统100包括终端(terminal)101、网络设备102。
在一些实施例中，终端101例如包括手机(mobile phone)、可穿戴设备、物联网设备、具备通信功能的汽车、智能汽车、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、远程手术(remote medical surgery)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备、智慧家庭(smart home)中的无线终端设备中的至少一者，但不限于此。
在一些实施例中，网络设备102可以包括接入网设备和/或核心网设备。接入网设备例如是将终端接入到无线网络的节点或设备，接入网设备可以包括演进节点B(evolved NodeB，eNB)、下一代演进节点B(next generation eNB，ng-eNB)、下一代节点B(next generation NodeB，gNB)、下一代无线接入网络(Next Generation Radio Access Network，NG-RAN)节点、节点B(node B，NB)、家庭节点B(home node B，HNB)、家庭演进节点B(home evolved nodeB，HeNB)、无线回传设备、无线网络控制器(radio network controller，RNC)、基站控制器(base station controller，BSC)、基站收发台(base transceiver station，BTS)、基带单元(base band unit，BBU)、移动交换中心、6G通信系统中的基站、开放型基站(Open RAN)、云基站(Cloud RAN)、其他通信系统中的基站、Wi-Fi系统中的接入节点中的至少一者，但不限于此。
在一些实施例中，本公开实施例的技术方案可适用于开放式无线接入网(Open RAN)架构，此时，本公开实施例所涉及的接入网设备间或者接入网设备内的接口可变为Open RAN的内部接口，这些内部接口之间的流程和信息交互可以通过软件或者程序实现。
在一些实施例中，接入网设备可以由集中单元(central unit，CU)与分布式单元(distributed unit，DU)组成的，其中，CU也可以称为控制单元(control unit)，采用CU-DU的结构可以将接入网设备的协议层拆分开，部分协议层的功能放在CU集中控制，剩下部分或全部协议层的功能分布在DU中，由CU集中控制DU，但不限于此。
在一些实施例中，核心网设备可以是一个设备，包括一个或多个网元，也可以是多个设备或设备群，分别包括一个或多个网元中的全部或部分。网元可以是虚拟的，也可以是实体的。核心网例如包括演进分组核心(evolved packet core，EPC)网络、5G核心(5G core，5GC)网络、下一代核心(next generation core，NGC)网络中的至少一者。
在一些实施例中，核心网设备可以包括第一核心网网元，第一核心网网元可以用于提供定位管理功能。在一示例中，第一核心网网元为LMF。
可以理解的是，本公开实施例描述的通信系统是为了更加清楚的说明本公开实施例的技术方案，并不构成对于本公开实施例提供的技术方案的限定，本领域普通技术人员可知，随着系统架构的演变和新业务场景的出现，本公开实施例提供的技术方案对于类似的技术问题同样适用。
下述本公开实施例可以应用于图1A所示的通信系统100、或部分主体，但不限于此。图1A所示的各主体是例示，通信系统可以包括图1A中的全部或部分主体，也可以包括图1A以外的其他主体，各主体数量和形态为任意，各主体之间的连接关系是例示，各主体之间可以不连接也可以连接，其连接可以是任意方式，可以是直接连接也可以是间接连接，可以是有线连接也可以是无线连接。
本公开各实施例可以应用于长期演进(long term evolution，LTE)、LTE-Advanced(LTE-A)、LTE-Beyond(LTE-B)、SUPER 3G、IMT-Advanced、第四代移动通信系统(4th generation mobile communication system，4G)、)、第五代移动通信系统(5th generation mobile communication system，5G)、5G新空口(new radio，NR)、未来无线接入(future radio access，FRA)、新无线接入技术(new-radio access technology，RAT)、新无线(new radio，NR)、新无线接入(new radio access，NX)、未来一代无线接入(future generation radio access，FX)、Global System for Mobile communications(GSM(注册商标))、CDMA2000、超移动宽带(ultra mobile broadband，UMB)、IEEE 802.11(Wi-Fi(注册商标))、IEEE 802.16(WiMAX(注册商标))、IEEE 802.20、超宽带(ultra-wideband，UWB)、蓝牙(Bluetooth(注册商标))、陆上公用移动通信网(public land mobile network，PLMN)网络、 设备到设备(device-to-device，D2D)系统、机器到机器(machine to machine，M2M)系统、物联网(Internet of Things，IoT)系统、车联网(vehicle-to-everything，V2X)、利用其他通信方法的系统、基于它们而扩展的下一代系统等。此外，也可以将多个系统组合(例如，LTE或者LTE-A与5G的组合等)应用。
下面，对本公开涉及的术语进行说明和解释。
一、对基于AI/ML模型的定位进行介绍
随着人工智能技术的不断发展，目前正在研究将AI/ML应用于5G或6G网络中，例如，将AI/ML用于定位。对于基于AI的定位方法，可能存在多种用于定位的AI模型，不同的AI模型可以用于不同的定位应用场景，即：对于不同的定位应用场景，可以使用不同的数据集来训练AI模型，从而得到用于不同定位应用场景的不同AI模型。
在一些实施例中，“AI/ML”、“AI/ML模型(AI/ML model)”、“AI/ML功能(AI/ML function)”、“AI”、“AI模型”、“AI功能”、“ML”、“ML模型”、“ML功能”、“AI/ML模型和/或AI/ML功能”等术语可以相互替换。
在一些实施例中，AI功能可以与AI模型关联。在一些实施例中，ML功能可以与ML模型关联。在一些实施例中，AI/ML功能可以与AI/ML模型关联。
在一些实例中，基于AI/ML模型的定位可以包括且不限于以下两种方法：
方法一：基于AI/ML模型的直接定位(direct AI/ML positioning)。在这种情况下，AI/ML模型的输出是终端位置。
方法二：基于AI/ML模型的辅助定位(AI/ML assisted positioning)。在这种情况下，AI/ML模型的输出是新的测量结果和/或现有测量结果的增强。在一些实施例中，AI/ML模型的辅助定位中，AI/ML模型的输出可以是视距(line of sight，LOS)指示、非视距(non line of sight，NLOS)指示、时间测量、角度测量以及测量的可能性中的至少之一。
二、对基于AI/ML模型的直接定位进行介绍
图1B是根据本公开实施例提供的基于AI/ML模型的直接定位的一种示意图。如图1B所示，AI/ML模型的输入是与被测信道对应的TRP(如TRP0、TRP1、…、TRP(N-1))关联的测量结果，N为大于2的整数，AI/ML模型的输出可以为终端位置。
在一些实施例中，基于AI/ML模型的直接定位可以包括且不限于以下三种方法：
方法1a：基于终端侧模型的定位，AI/ML模型部署在终端侧，AI/ML模型的输出为终端位置。
方法1b：基于终端辅助/LMF的定位，AI/ML模型部署在LMF侧，终端将自身确定的测量结果通过gNB发送给LMF，测量结果作为LMF侧AI/ML模型的输入，AI/ML模型的输出为终端位置。
方法1c：基于LMF侧模型的NG-RAN节点辅助定位，AI/ML模型部署在LMF侧，gNB将终端确定的测量结果或者gNB确定的测量结果通过NG-RAN节点发送给LMF，测量结果作为LMF侧AI/ML模型的输入，AI/ML模型的输出为终端位置。
三、对基于AI/ML模型的辅助定位进行介绍
图1C是根据本公开实施例提供的基于AI/ML模型的辅助定位的一种示意图。如图1C所示，AI/ML模型的输入与信道测量的TRP(如TRP0、TRP1、…、TRP(N-1))关联，N为大于2的整数，AI/ML模型的输出是测量结果。
在一些实施例中，基于AI/ML模型的辅助定位可以包括且不限于以下两种方法：
方法2a：基于终端辅助/LMF的定位，AI/ML模型部署在终端侧，终端将AI/ML模型的输出(如，基于AI输出的测量结果)通过gNB发送给LMF，LMF基于AI/ML模型输出的测量结果确定终端位置。
方法2b：基于gNB侧模型的NG-RAN节点辅助定位，AI/ML模型部署在gNB侧，gNB将AI/ML模型的输出(如，基于AI输出的测量结果)通过NG-RAN节点发送给LMF，LMF基于AII/ML模型输出的测量结果确定终端位置。
在一些实施例中，对于上述方法2a，终端可以支持将LOS指示符、NLOS指示符以及时间信息中的至少之一发送给LMF。
在一些实施例中，LOS/NLOS指示符可以为协议中定义的软指示符或硬指示符。
在一些实施例中，时间信息可以为协议中定义的下行参考信号时间差(downlink reference signal time difference，DL RSTD)或终端接收-发送时间差(UEreceive-transport time difference，UE Rx-Tx TD)。
在一些实施例中，时域信道测量包括两种方案。一种方案是基于采样的测量(sample-based measurements)，另一种是基于路径的测量(path-based measurements)。若同时支持基于采样的测量和基于路径的测量，那么在定位过程中，需要解决是使用基于采样的测量得到第一测量结果还是使用基于路径的测量得到测量结果这一问题。
在本公开实施例中，通信系统包括第一设备和第二设备，AI模型可以部署于第一设备，也可以部署于第二设备。
在一些实施例中，第一设备用于提供定位管理功能。第一设备可以部署在核心网中，也可以部署在数据网络中。在一实施例中，第一设备可以是定位服务器，也可以是用于定位的网络节点。在一示例中，第一设备为第一核心网网元，如LMF。
在一些实施例中，第二设备可以为终端或接入网络设备。
下面以第一设备为LMF和第二设备为终端为例说明终端的定位过程。
图2A是根据本公开实施例提供的通信方法的示例性交互图之一。如图2A所示，本公开实施例涉及通信方法。由通信系统100执行，该通信方法包括步骤S2101至步骤S2105。
本公开实施例中，LMF上部署有AI模型。
在步骤S2101中，终端发送第三信息。
在一些实施例中，LMF接收第三信息。
在一些实施例中，第三信息用于指示以下至少之一：终端对基于采样的测量的支持能力、终端对基于路径的测量的支持能力。
在一些实施例中，终端对基于采样的测量的支持能力包括：支持基于采样的测量或不支持基于采样的测量。
在一示例中，第三信息可以指示终端支持基于采样的测量，此时，执行步骤S2102至步骤S2105。在一示例中，第三信息可以指示终端不支持基于采样的测量。
在一些实施例中，终端支持基于采样的测量包括：终端支持基于采样的测量得到测量量(measurements)和终端不支持基于采样的测量得到测量量。
在一些实施例中，测量量可以包括以下至少之一：信道冲激响应(channel impulse response，CIR)、功率时延谱(power delay profile，PDP)、延时谱(delay profile，DP)、RSTD、UE Rx-Tx TD。
在一示例中，第三信息可以指示终端支持基于采样的测量得到RSTD和UE Rx-Tx TD。在一示例中，第三信息可以指示终端支持基于采样的测量得到CIR、PDP、和DP。在一示例中，第三信息可以指示终端不支持基于采样的测量得到RSTD和UE Rx-Tx TD。
在一些实施例中，终端对基于路径的测量的支持能力包括：支持基于路径的测量或不支持基于路径的测量。
在一示例中，第三信息可以指示终端支持基于路径的测量，此时，执行步骤S2102至步骤S2105。在一示例中，第三信息可以指示终端不支持基于路径的测量。在一示例中，第三信息可以指示终端不支持基于采样的测量和基于路径的测量，此时，不执行步骤S2102至步骤S2105。
在一些实施例中，终端支持基于路径的测量包括：终端支持基于路径的测量得到测量量和终端不支持基于路径的测量得到测量量。
在一示例中，第三信息可以指示终端支持基于路径的测量得到CIR、PDP、和DP。在一示例中，第三信息可以指示终端支持基于路径的测量得到RSTD和UE Rx-Tx TD。在一示例中，第三信息可以指示终端不支持基于路径的测量得到RSTD和UE Rx-Tx TD。
在一些实施例中，接入网设备发送第三信息。
在步骤S2102中，LMF发送第二信息。
在一些实施例中，终端接收第二信息。
在一些实施例中，第二信息用于指示终端发送第二测量结果。第二测量结果用于终端定位。
在一些实施例中，第二测量结果包括以下至少之一：基于采样的测量得到的测量结果(简称为采样测量结果)、基于路径的测量得到的测量结果(简称为路径测量结果)。
在一示例中，第二信息指示终端发送采样测量结果。在一示例中，第二信息指示终端发送路径测量结果。在一示例中，第二信息指示终端发送采样测量结果和路径测量结果。
在一些实施例中，LMF发送的第二信息可以基于终端发送的第三信息确定，也可以LMF基于自身实现自行确定第二信息。
在一些实施例中，第二信息携带于第一消息中，第二信息为位置请求信息，第一消息可以为定位协议消息。
在一示例中，位置请求信息为commonIEsRequestLocationInformation。在一示例中，位置请求信息为nr-DL-TDOA-RequestLocationInformation。在一示例中，位置请求信息为nr-Multi-RTT-RequestLocationInformation。
在一示例中，定位协议消息为LTE定位协议消息，如LPP(LTE positioning protocol)消息。在一示例中，定位协议消息为NR定位协议，如NRPPa(NR positioning protocol A)消息。
在一些实施例中，步骤S2102可以被省略。终端直接执行步骤S2103至步骤S2105。
在步骤S2103中，终端基于采样的测量和/或基于路径的测量，获得第二测量结果。
在一些实施例中，在第二信息指示终端发送采样测量结果的情况下，终端基于采样的测量得到第二测 量结果。
在一些实施例中，在第二信息指示终端发送路径测量结果的情况下，终端基于路径的测量得到第二测量结果。
在一些实施例中，在第二信息指示终端发送采样测量结果和路径测量结果的情况下，终端基于采样的测量和基于路径的测量，得到第二测量结果。
在一些实施例中，在LMF不发送第二信息的情况下，终端可以基于自身能力选择执行基于采样的测量和/或基于路径的测量。
在一些实施例中，接入网设备基于采样的测量和/或基于路径的测量，得到第二测量结果。
在一些实施例中，接入网设备也可以从终端处得到第二测量结果。
在步骤S2104中，终端发送第二测量结果。
在一些实施例中，LMF接收第二测量结果。
在一些实施例中，在LMF不发送第二信息的情况下，终端在上报第二测量结果时，还可以上报第二测量结果的类型或得到第二测量结果所使用的测量方法。此时，终端发送第二测量结果和指示信息，指示信息用于指示第二测量结果是采样测量结果和/或路径测量结果。
在一些实施例中，在LMF发送第二信息的情况下，由于LMF已知第二测量结果的类型或已知第二测量结果是基于何种测量方法得到的，因此终端无需发送指示信息，只发送第二测量结果。
在一些实施例中，接入网设备发送第一信息。
在步骤S2105中，LMF将第二测量结果输入到AI模型中，得到AI模型输出的终端位置。
在一些实施例中，在第二测量结果包括采样测量结果的情况下，LMF将采样测量结果输入到AI模型中，得到终端位置。
在一些实施例中，在第二测量结果包括路径测量结果的情况下，LMF将路径测量结果输入到AI模型中，得到终端位置。
在一些实施例中，在第二测量结果包括采样测量结果和路径测量结果的情况下，LMF可以将采样测量结果输入AI模型得到第一位置，将路径测量结果输入AI模型得到第二位置，基于第一位置和第二位置确定终端位置。LMF还可以将采样测量结果和路径测量结果混合输入到AI模型中得到终端位置。
本公开实施例所涉及的通信方法可以包括步骤S2101至步骤S2105中的至少一者。例如，步骤S2101可以作为独立实施例来实施。例如，步骤S2102可以作为独立的实施例来实施。例如，步骤S2103可以作为独立的实施例来实施。例如，步骤S2104可以作为独立的实施例来实施。例如，步骤S2105可以作为独立的实施例来实施。例如，步骤S2101和步骤S2102可以组合作为一个实施例来实施。例如，步骤S2102和步骤S2103可以组合作为一个实施例来实施。例如，步骤S2102、步骤S2103和步骤S2104可以组合作为一个实施例来实施。例如步骤S2102、步骤S2103、步骤S2104和步骤S2105可以组合作为一个实施例来实施。
图2B是根据本公开实施例提供的通信方法的示例性交互图之二。如图2B所示，本公开实施例涉及通信方法。由通信系统100执行，该通信方法包括步骤S2201至步骤S2205。
在本公开实施例中，终端上部署有AI模型。
在步骤S2201中，终端发送第三信息。
步骤S2201的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2202中，LMF发送第二信息。
在一些实施例中，终端接收第二信息。
在一些实施例中，第二信息用于指示终端发送终端位置。
在一些实施例中，终端位置是终端基于第二测量结果得到的。第二测量结果包括以下至少之一：采样测量结果、路径测量结果。
在一些实施例中，第二信息用于指示终端发送基于第二测量结果得到的终端位置。
在一示例中，第二信息指示终端发送基于采样测量结果确定的终端位置。在一示例中，第二信息指示终端发送基于路径测量结果确定的终端位置。在一示例中，第二信息指示终端发送基于采样测量结果和路径测量结果确定的终端位置。
在一些实施例中，第二信息还可以用于指示AI模型的输入为第二测量结果。
在一示例中，第二信息指示AI模型的输入为采样测量结果。在一示例中，第二信息指示AI模型的输入为路径测量结果。在一示例中，AI模型的输入为采样测量结果和路径测量结果。
在一些实施例中，第二信息还可以用于指示终端发送由第二测量结果输入AI模型得到的终端位置。
在一示例中，第二信息指示终端发送由采样测量结果输入AI模型得到的终端位置。在一示例中， 第二信息指示终端发送由路径测量结果输入AI模型得到的终端位置。在一示例中，第二信息指示终端发送由采样测量结果和路径测量结果输入AI模型得到的终端位置。
在一些实施例中，步骤S2202可以被省略，直接执行步骤S2203至步骤S2205。
在一些实施例中，第二信息的其它内容可以参见图2A中的步骤S2102。
在步骤S2203中，终端执行基于采样的测量和/或基于路径的测量，得到第二测量结果。
步骤S2203的可选实现方式可以参见图2A的步骤S2103的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2204中，终端将第二测量结果输入到AI模型中，得到AI模型输出的终端位置。
步骤S2204的可选实现方式可以参见图2A的步骤S2105的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2205中，终端发送终端位置。
在一些实施例中，LMF接收终端位置。
在一些实施例中，终端还可以发送终端位置和第二测量结果。
在一些实施例中，在步骤S2202被省略的情况下，终端在上报终端位置时，还可以上报得到终端位置所使用的测量结果的类型，此时，终端发送终端位置和指示信息，指示信息用于指示终端位置是基于采样测量结果和/或路径测量结果得到的。或者，终端发送终端位置、第二测量结果和指示信息，指示信息用于指示第二测量结果的类型。
本公开实施例所涉及的通信方法可以包括步骤S2201至步骤S2205中的至少一者。例如，步骤S2201可以作为独立实施例来实施。例如，步骤S2202可以作为独立的实施例来实施。例如，步骤S2203可以作为独立的实施例来实施。例如，步骤S2204可以作为独立的实施例来实施。例如，步骤S2205可以作为独立的实施例来实施。例如，步骤S2201和步骤S2202可以组合作为一个实施例来实施。例如，步骤S2202和步骤S2203可以组合作为一个实施例来实施。例如，步骤S2202、步骤S2203和步骤S2204可以组合作为一个实施例来实施。例如，步骤S2202、步骤S2204和步骤S2205可以组合作为一个实施例来实施。例如，步骤S2203、步骤S2204和步骤S2205可以组合作为一个实施例来实施。例如步骤S2202、步骤S2203、步骤S2204和步骤S2205可以组合作为一个实施例来实施。
图2C是根据本公开实施例提供的通信方法的示例性交互图之三。如图2C所示，本公开实施例涉及通信方法。由通信系统100执行，该通信方法包括步骤S2301至步骤S2306。
在本公开实施例中，终端上部署有AI模型。
在步骤S2301中，终端发送第三信息。
步骤S2301的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2302中，LMF发送第二信息。
在一些实施例中，终端接收第二信息。
在一些实施例中，接入网设备接收第三信息。
在一些实施例中，第二信息用于指示终端发送用于终端定位的第一测量结果，第一测量结果包括由第二测量结果输入AI模型所得到的输出。
在一些实施例中，第二测量结果包括以下至少之一：采样测量结果、路径测量结果。
在一示例中，第二信息用于指示终端发送由采样测量结果输入AI模型所得到的输出。
在一示例中，第二信息用于指示终端发送由路径测量结果输入AI模型所得到的输出。
在一示例中，第二信息用于指示终端发送由采样测量结果和路径测量结果输入AI模型所得到的输出。
在一些实施例中，由第二测量结果输入AI模型所得到的输出为第三测量结果，此时，第二信息用于指示终端发送第三测量结果。
在一些实施例中，第三测量结果与第二测量结果不同，第三测量结果为新的测量结果(new measurement result)和/或现有测量结果的增强(enhancement of existing measurement result)。
在一示例中，第二测量结果包括以下至少之一：CIR、PDP、DP。
在一示例中，第三测量结果包括以下至少之一：RSTD、UE Rx-Tx TD、Los指示、NLos指示、参考信号接收功率(Reference Signal Receiving Power，RSRP)、相对到达时间(relative time of arrival，RTOA)以及参考信号接收路径功率(Reference Signal Received Path Power，RSRPP)。
在一些实施例中，第一测量结果还可以包括第二测量结果。也就是说，第一测量结果可以包括：第二测量结果(即AI模型的输入)和第三测量结果(即AI模型的输出)。此时，第二信息指示终端发送第二测量结果和第三测量结果。
在一些实施例中，第二信息还可以用于指示AI模型的输入为第二测量结果。
在一示例中，第二信息指示AI模型的输入为采样测量结果。在一示例中，第二信息指示AI模型的输入为路径测量结果。在一示例中，第二信息指示AI模型的输入为采样测量结果和路径测量结果。
在一些实施例中，步骤S2302可以被省略，直接执行步骤S2303至步骤S2306。
在一些实施例中，第二信息的其它内容可以参见图2A中的步骤S2102。
在步骤S2303中，终端基于采样的测量和/或基于路径的测量，获得第二测量结果。
步骤S2303的可选实现方式可以参见图2A的步骤S2103的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，接入网设备基于采样的测量和/或基于路径的测量，获得第二测量结果。
在步骤S2304中，终端将第二测量结果输入到AI模型中，得到AI模型输出的第三测量结果。
在一些实施例中，终端可以将CIR、PDP和DP中的至少之一输入到AI模型中，得到Los、NLos、RSTD、UE Rx-Tx TD、RSRP、RTOA和RSRPP中的至少之一。
在一些实施例中，接入网设备将第二测量结果输入到AI模型中，得到AI模型输出的第三测量结果。
在步骤S2305中，终端发送第三测量结果。
在一些实施例中，LMF接收第三测量结果。
在一些实施例中，终端还可以发送第二测量结果。
在一些实施例中，在LMF不发送第二信息的情况下，终端在上报第三测量结果时，还可以上报得到第三测量结果所使用的测量结果的类型。此时，终端发送第三测量结果和指示信息，指示信息用于指示第三测量结果是基于采样测量结果和/或路径测量结果得到的。或者，终端发送第三测量结果、第二测量结果和指示信息，指示信息用于指示第二测量结果的类型。
在一些实施例中，接入网设备发送第三测量结果。
在步骤S2306中，LMF基于第三测量结果确定终端位置。
本公开实施例所涉及的通信方法可以包括步骤S2301至步骤S2306中的至少一者。例如，步骤S2301可以作为独立实施例来实施。例如，步骤S2302可以作为独立的实施例来实施。例如，步骤S2303可以作为独立的实施例来实施。例如，步骤S2304可以作为独立的实施例来实施。例如，步骤S2305可以作为独立的实施例来实施。例如，步骤S2306可以作为独立的实施例来实施。例如，步骤S2301和步骤S2302可以组合作为一个实施例来实施。例如，步骤S2302和步骤S2303可以组合作为一个实施例来实施。例如，步骤S2302、步骤S2303和步骤S2304可以组合作为一个实施例来实施。例如，步骤S2303、步骤S2304和步骤S2305可以组合作为一个实施例来实施。例如步骤S2303、步骤S2304、步骤S2305和步骤S2306可以组合作为一个实施例来实施。
图2D是根据本公开实施例提供的通信方法的示例性交互图之四。如图2D所示，本公开实施例涉及通信方法。由通信系统100执行，该通信方法包括步骤S2401至步骤S2405。
在步骤S2401中，终端发送第三信息。
步骤S2401的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2402中，LMF发送第二信息。
在一些实施例中，终端接收第二信息。
在一些实施例中，第二信息用于指示终端发送终端位置。
在一些实施例中，终端位置基于第二测量结果确定，第二测量结果包括以下至少之一：采样测量结果、路径测量结果。
在一些实施例中，第二信息用于指示终端发送基于第二测量结果确定的终端位置。
在一示例中，第一信息指示终端发送基于采样测量结果确定的终端位置。在一示例中，第二信息指示终端发送基于路径测量结果确定的终端位置。在一示例中，第二信息指示终端发送基于采样测量结果和路径测量结果确定的终端位置。
在一些实施例中，步骤S2402可以被省略，直接执行步骤S2403至步骤S2405。
在一些实施例中，第二信息的其它内容可以参见图2A中的步骤S2102。
在步骤S2403中，终端执行基于采样的测量和/或基于路径的测量，得到第二测量结果。
步骤S2403的可选实现方式可以参见图2A的步骤S2103的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，接入网设备基于采样的测量和/或基于路径的测量，得到第二测量结果。
在步骤S2404中，终端基于第二测量结果，采用基于非AI的定位方法确定终端位置。
在一些实施例中，基于非AI的定位方法，包括以下至少之一：到达时间差(downlink time difference of arrival，TDOA)的定位、到达角(angle of arrival，AOA)的定位、离开角(angle of departure，AOD)的 定位、多个往返时间(multiple-round trip time，Multi-RTT)的定位。
在步骤S2405中，终端发送终端位置。
在一些实施例中，LMF接收终端位置。
在一些实施例中，终端还可以发送第二测量结果。
在一些实施例中，在LMF不发送第二信息的情况下，终端在上报终端位置时，还可以上报得到终端位置所使用的测量结果的类型。此时，终端发送终端位置和指示信息，指示信息用于指示终端位置是基于采样测量结果和/或路径测量结果得到的。或者，终端发送终端位置、第二测量结果和指示信息，指示信息用于指示第二测量结果的类型。
本公开实施例所涉及的通信方法可以包括步骤S2401至步骤S2405中的至少一者。例如，步骤S2401可以作为独立实施例来实施。例如，步骤S2402可以作为独立的实施例来实施。例如，步骤S2403可以作为独立的实施例来实施。例如，步骤S2404可以作为独立的实施例来实施。例如，步骤S2405可以作为独立的实施例来实施。例如，步骤S2401和步骤S2402可以组合作为一个实施例来实施。例如，步骤S2402和步骤S2403可以组合作为一个实施例来实施。例如，步骤S2402、步骤S2403和步骤S2404可以组合作为一个实施例来实施。例如，步骤S2403、步骤S2404和步骤S2405可以组合作为一个实施例来实施。例如，步骤S2402、步骤S2404和步骤S2405可以组合作为一个实施例来实施。例如步骤S2402、步骤S2403、步骤S2404和步骤S2405可以组合作为一个实施例来实施。
图2E是根据本公开实施例提供的通信方法的示例性交互图之五。如图2E所示，本公开实施例涉及通信方法。由通信系统100执行，该通信方法包括步骤S2501至步骤S2505。
在步骤S2501中，终端发送第三信息。
步骤S2501的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S2502中，LMF发送第二信息。
在一些实施例中，终端接收第二信息。
在一些实施例中，接入网设备接收第三信息。
在一些实施例中，第二信息用于指示终端发送用于终端定位的第二测量结果，第二测量结果包括以下至少之一：采样测量结果、路径测量结果。
在一示例中，第二信息用于指示终端发送采样测量结果。在一示例中，第二信息用于指示终端发送路径测量结果。在一示例中，第二信息用于指示终端发送采样测量结果和路径测量结果。
在一些实施例中，步骤S2502可以被省略，直接执行步骤S2503至步骤S2505。
在一些实施例中，第二信息的其它内容可以参见图2A中的步骤S2102。
在步骤S2503中，终端基于采样的测量和/或基于路径的测量，获得第二测量结果。
步骤S2503的可选实现方式可以参见图2A的步骤S2103的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，接入网设备基于采样的测量和/或基于路径的测量，获得第二测量结果。
在步骤S2504中，终端发送第二测量结果。
在一些实施例中，LMF接收第二测量结果。
在一些实施例中，在LMF不发送第二信息的情况下，终端在上报第二测量结果时，还可以上报得到第二测量结果的类型。此时，终端发送第二测量结果和指示信息，指示信息用于指示第二测量结果是采样测量结果和/或路径测量结果。
在步骤S2505中，LMF基于第二测量结果，采用基于非AI的定位方法确定终端位置。
在一些实施例中，基于非AI的定位方法包括以下至少之一：TDOA的定位、AOA的定位、AOD的定位、Multi-RTT的定位。
本公开实施例所涉及的通信方法可以包括步骤S2501至步骤S2505中的至少一者。例如，步骤S2501可以作为独立实施例来实施。例如，步骤S2502可以作为独立的实施例来实施。例如，步骤S2503可以作为独立的实施例来实施。例如，步骤S2504可以作为独立的实施例来实施。例如，步骤S2505可以作为独立的实施例来实施。例如，步骤S2501和步骤S2502可以组合作为一个实施例来实施。例如，步骤S2502和步骤S2503可以组合作为一个实施例来实施。例如，步骤S2502、步骤S2503和步骤S2504可以组合作为一个实施例来实施。例如，步骤S2502、步骤S2504和步骤S2505可以组合作为一个实施例来实施。例如，步骤S2503、步骤S2504和步骤S2505可以组合作为一个实施例来实施。例如步骤S2502、步骤S2503、步骤S2504和步骤S2505可以组合作为一个实施例来实施。
在一些实施例中，“基于采样的测量”、“采样测量”等术语可以相互替换。
在一些实施例中，“基于路径的测量”、“路径测量”等术语可以相互替换。
在一些实施例中，“基于采样的测量得到的测量结果”、“采样测量结果”等术语可以相互替 换。
在一些实施例中，“基于路径的测量得到的测量结果”、“路径测量结果”等术语可以相互替换。
在一些实施例中，“基于AI的定位”、“AI定位”等术语可以相互替换。
在一些实施例中，“基于非AI的定位”、“非AI定位”等术语可以相互替换。
在一些实施例中，信息等的名称不限定于实施例中所记载的名称，“信息(information)”、“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“域”、“字段”、“符号(symbol)”、“码元(symbol)”、“码本(codebook)”、“码字(codeword)”、“码点(codepoint)”、“比特(bit)”、“数据(data)”、“程序(program)”、“码片(chip)”等术语可以相互替换。
在一些实施例中，“携带”、“包括”、“包含”、“封装”等术语可以相互替换。
在一些实施例中，“无线(radio)”、“无线(wireless)”、“无线接入网(radioaccessnetwork，RAN)”、“接入网(accessnetwork，AN)”、“基于RAN的(RAN-based)”等术语可以相互替换。
在一些实施例中，“获取”、“获得”、“得到”、“接收”、“传输”、“双向传输”、“发送和/或接收”可以相互替换，其可以解释为从其他主体接收，从协议中获取，从高层获取，自身处理得到、自主实现等多种含义。
在一些实施例中，“发送”、“发射”、“上报”、“传输”、“请求”、、“双向传输”、“发送和/或接收”等术语可以相互替换。
在一些实施例中，“下发”、“返回”、“反馈”、“响应”、“应答”等术语可以相互替换。
在一些实施例中，“特定(certain)”、“预定(preseted)”、“预设”、“设定”、“指示(indicated)”、“某一”、“任意”、“第一”等术语可以相互替换，“特定A”、“预定A”、“预设A”、“设定A”、“指示A”、“某一A”、“任意A”、“第一A”可以解释为在协议等中预先规定的A，也可以解释为通过设定、配置、或指示等得到的A，也可以解释为特定A、某一A、任意A、或第一A等，但不限于此。
在一些实施例中，判定或判断可以通过以1比特表示的值(0或1)来进行，也可以通过以真(true)或者假(false)表示的真假值(布尔值(boolean))来进行，也可以通过数值的比较(例如，与预定值的比较)来进行，但不限于此。
图3A是根据本公开实施例示出的第一设备执行通信方法的实施流程示意图之一。如图3A所示，本公开实施例涉及通信方法，由第一设备执行。上述通信方法包括步骤S3101至步骤S3106。
在步骤S3101中，接收第三信息。
步骤S3101的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S3102中，发送第二信息。
步骤S3102的可选实现方式可以参见图2A的步骤S2102的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S3103中，接收第一信息。
步骤S3103的可选实现方式可以参见图2A的步骤S2104的可选实现方式、图2B的步骤S2205的可选实现方式、图2C的步骤S2305的可选实现方式、图2D的步骤S2405的可选实现方式、图2E的步骤S2504的可选实现方式、图2A所涉及的实施例中其他关联部分、图2B所涉及的实施例中其他关联部分、图2C所涉及的实施例中其他关联部分、图2D所涉及的实施例中其他关联部分、图2E所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，第一信息包括以下至少之一：终端位置、第二测量结果、第三测量结果。
在步骤S3104中，将第二测量结果输入到AI模型中，得到AI模型输出的终端位置。
步骤S3104的可选实现方式可以参见图2A的步骤S2105的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S3105中，基于第三测量结果确定终端位置。
步骤S3105的可选实现方式可以参见图2C的步骤S2306的可选实现方式、图2C所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S3106中，基于第二测量结果，采用基于非AI的定位方法确定终端位置。
步骤S3106的可选实现方式可以参见图2E的步骤S2505的可选实现方式、图2E所涉及的实施例中其他关联部分，此处不再赘述。
本公开实施例所涉及的通信方法可以包括步骤S3101至步骤S3105中的至少一者。例如，步骤S3101可以作为独立实施例来实施。例如，步骤S3102可以作为独立的实施例来实施。例如，步骤 S3103可以作为独立的实施例来实施。例如，步骤S3104可以作为独立的实施例来实施。例如，步骤S3105可以作为独立的实施例来实施。例如，步骤S3101和步骤S3102可以组合作为一个实施例来实施。例如，步骤S3102和步骤S3103可以组合作为一个实施例来实施。例如，步骤S3101、步骤S3102和步骤S3103可以组合作为一个实施例来实施。例如，步骤S3102、步骤S3103和步骤S3104可以组合作为一个实施例来实施。例如，步骤S3101、步骤S3102、步骤S3103和步骤S3104可以组合作为一个实施例来实施。例如，步骤S3103和步骤S3105可以组合作为一个实施例来实施。例如，步骤S3102、步骤S3103和步骤S3105可以组合作为一个实施例来实施。例如，步骤S3101、步骤S3102、步骤S3103和步骤S3105可以组合作为一个实施例来实施。例如，步骤S3103和步骤S3106可以组合作为一个实施例来实施。例如，步骤S3102、步骤S3103和步骤S3106可以组合作为一个实施例来实施。例如，步骤S3101、步骤S3102、步骤S3103和步骤S3106可以组合作为一个实施例来实施。
图3B是根据本公开实施例示出的第一设备执行通信方法的实施流程示意图之二。如图3B所示，本公开实施例涉及通信方法，由第一设备执行。上述通信方法包括步骤S3201。
在步骤S3201中，接收第一信息。
步骤S3201的可选实现方式可以参见图2A的步骤S2104的可选实现方式、图2B的步骤S2205的可选实现方式、图2C的步骤S2305的可选实现方式、图2D的步骤S2405的可选实现方式、图2E的步骤S2504的可选实现方式、图2A所涉及的实施例中其他关联部分、图2B所涉及的实施例中其他关联部分、图2C所涉及的实施例中其他关联部分、图2D所涉及的实施例中其他关联部分、图2E所涉及的实施例中其他关联部分，此处不再赘述。
图4A是根据本公开实施例示出的第二设备执行通信方法的流程示意图之一。如图4A所示，本公开实施例涉及通信方法，由第二设备执行。上述通信方法包括步骤S4101至步骤S4107。
在步骤S4101中，发送第三信息。
步骤S4101的可选实现方式可以参见图2A的步骤S2101的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4102中，接收第二信息。
步骤S4102的可选实现方式可以参见图2A的步骤S2102的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4103中，执行基于采样的测量和/或基于路径的测量，得到第二测量结果。
步骤S4103的可选实现方式可以参见图2A的步骤S2103的可选实现方式、图2A所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4104中，将第二测量结果输入到AI模型中，得到AI模型输出的终端位置。
步骤S4104的可选实现方式可以参见图2B的步骤S2204的可选实现方式、图2B所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4105中，将第二测量结果输入到AI模型中，得到AI模型输出的第三测量结果。
步骤S4105的可选实现方式可以参见图2C的步骤S2304的可选实现方式、图2C所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4106中，基于第二测量结果，采用基于非AI的定位方法确定终端位置。
步骤S4106的可选实现方式可以参见图2D的步骤S2404的可选实现方式、图2D所涉及的实施例中其他关联部分，此处不再赘述。
在步骤S4107中，发送第一信息。
步骤S4107的可选实现方式可以参见图2A的步骤S2104的可选实现方式、图2B的步骤S2205的可选实现方式、图2C的步骤S2305的可选实现方式、图2D的步骤S2405的可选实现方式、图2E的步骤S2504的可选实现方式、图2A所涉及的实施例中其他关联部分、图2B所涉及的实施例中其他关联部分、图2C所涉及的实施例中其他关联部分、图2D所涉及的实施例中其他关联部分、图2E所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，第一信息包括以下至少之一：终端位置、第二测量结果、第三测量结果。
本公开实施例所涉及的通信方法可以包括步骤S4101至步骤S4107中的至少一者。例如，步骤S4101可以作为独立实施例来实施。例如，步骤S4102可以作为独立的实施例来实施。例如，步骤S4103可以作为独立的实施例来实施。例如，步骤S4104可以作为独立的实施例来实施。例如，步骤S4105可以作为独立的实施例来实施。例如，步骤S4106可以作为独立的实施例来实施。例如，步骤S4107可以作为独立的实施例来实施。例如，步骤S4101和步骤S4102可以组合作为一个实施例来实施。步骤S4102和步骤S4103可以组合作为一个实施例来实施。例如，步骤S4102、步骤S4103和步骤S4104可以组合作为一个实施例来实施。例如，步骤S4102、步骤S4103、步骤S4104和步骤S4107可以组合作为一个实施例来实施。例如，步骤S4101、步骤S4102、步骤S4103、步骤S4104 和步骤S4107可以组合作为一个实施例来实施。例如，步骤S4102、步骤S4103、步骤S4105和步骤S4107可以组合作为一个实施例来实施。例如，步骤S4101、步骤S4102、步骤S4103、步骤S4105和步骤S4107可以组合作为一个实施例来实施。例如，步骤S4102、步骤S4103、步骤S4106和步骤S4107可以组合作为一个实施例来实施。例如，步骤S4101、步骤S4102、步骤S4103、步骤S4106和步骤S4107可以组合作为一个实施例来实施。
图4B是根据本公开实施例示出的第二设备执行通信方法的流程示意图之二。如图4B所示，本公开实施例涉及通信方法，由第二设备执行。上述通信方法包括步骤S4201。
在步骤S4201中，发送第一信息。
步骤S4201的可选实现方式可以参见图2A的步骤S2104的可选实现方式、图2B的步骤S2205的可选实现方式、图2C的步骤S2305的可选实现方式、图2D的步骤S2405的可选实现方式、图2E的步骤S2504的可选实现方式、图2A所涉及的实施例中其他关联部分、图2B所涉及的实施例中其他关联部分、图2C所涉及的实施例中其他关联部分、图2D所涉及的实施例中其他关联部分、图2E所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，LMF实体请求UE或gNB上报基于采样的测量和/或基于路径的测量得到的用于定位的测量结果。
在一些实施例中，LMF实体请求UE基于采样的测量和/或基于路径的测量得到的测量结果来确定UE的位置。
在一些实施例中，LMF实体请求UE和/gNB基于采样的测量和/或基于路径的测量得到的测量结果作为AI模型的输入。
在一些实施例中，LMF实体请求UE和/gNB上报用于网络的AI模型输入结果，例如CIR，PDP，DP。
在一些实施例中，LMF实体请求UE/gNB上报基于采样的测量得到用于非AI定位的测量结果，例如基于采样的测量得到的RSTD、基于采样的测量得到的UE Rx-Tx time difference、基于采样的测量得到的UL RTOA,，基于采样的测量得到的gNB Rx-Tx time difference。
在一些实施例中，LMF实体请求UE使用基于AI的定位时，指示UE使用基于采样的测量和/或基于路径的测量得到的测量结果确定UE位置。
在一些实施例中，UE和/或在上报测量结果时指示所述测量结果为基于采样的测量得到的测量结果或基于路径的测量得到的测量结果。
在一些实施例中，指示可以通过定义新的测量结果IE，或定义结果类型指示IE。
在一些实施例中，LMF实体通过LPP消息指示/请求UE，例如通过以下至少之一的信息指示UE：
commonIEsRequestLocationInformation；
nr-DL-TDOA-RequestLocationInformation；
nr-Multi-RTT-RequestLocationInformation。
在一些实施例中，LMF实体通过NRPPa消息指示/请求gNB，例如通过以下消息：测量请求消息(measurement request)。
在一些实施例中，UE上报对基于采样的测量和/或基于路径的测量得到测量结果的支持能力，例如：UE支持基于采样的测量得到RSTD、UE支持基于采样的测量得到Rx-Tx time difference、UE支持基于采样的测量得到CIR、DP和PDP、UE支持基于路径的测量得到CIR、DP、PDP。
本公开实施例还提出用于实现以上任一方法的设备，例如，提出一终端，上述终端包括用以实现以上任一方法中终端所执行的各步骤的单元或模块。再如，还提出另一接入网设备，包括用以实现以上任一方法中接入网设备所执行的各步骤的单元或模块。
应理解以上装置中各单元或模块的划分仅是一种逻辑功能的划分，在实际实现时可以全部或部分集成到一个物理实体上，也可以物理上分开。此外，装置中的单元或模块可以以处理器调用软件的形式实现：例如装置包括处理器，处理器与存储器连接，存储器中存储有指令，处理器调用存储器中存储的指令，以实现以上任一方法或实现上述装置各单元或模块的功能，其中处理器例如为通用处理器，例如中央处理单元(Central Processing Unit，CPU)或微处理器，存储器为装置内的存储器或装置外的存储器。或者，装置中的单元或模块可以以硬件电路的形式实现，可以通过对硬件电路的设计实现部分或全部单元或模块的功能，上述硬件电路可以理解为一个或多个处理器；例如，在一种实现中，上述硬件电路为专用集成电路(application-specificintegratedcircuit，ASIC)，通过对电路内元件逻辑关系的设计，实现以上部分或全部单元或模块的功能；再如，在另一种实现中，上述硬件电路为可以通过可编程逻辑器件(programmable logic device，PLD)实现，以现场可编程门阵列(Field Programmable Gate Array，FPGA)为例，其可以包括大量逻辑门电路，通过配置文件来配置逻辑门电路之间的连接关系，从而实现以上部分或全部单元或模块的功能。以上装置的所有单元或模块可以全部通过处理器调用软件的形式实现，或全部通过硬件电路的形式实现，或部分通过处 理器调用软件的形式实现，剩余部分通过硬件电路的形式实现。
在本公开实施例中，处理器是具有信号处理能力的电路，在一种实现中，处理器可以是具有指令读取与运行能力的电路，例如中央处理单元(Central Processing Unit，CPU)、微处理器、图形处理器(graphics processing unit，GPU)(可以理解为微处理器)、或数字信号处理器(digital signal processor，DSP)等；在另一种实现中，处理器可以通过硬件电路的逻辑关系实现一定功能，上述硬件电路的逻辑关系是固定的或可以重构的，例如处理器为专用集成电路(application-specificintegratedcircuit，ASIC)或可编程逻辑器件(programmable logic device，PLD)实现的硬件电路,例如FPGA。在可重构的硬件电路中，处理器加载配置文档，实现硬件电路配置的过程，可以理解为处理器加载指令，以实现以上部分或全部单元或模块的功能的过程。此外，还可以是针对人工智能设计的硬件电路，其可以理解为ASIC，例如神经网络处理单元(Neural Network Processing Unit，NPU)、张量处理单元(Tensor Processing Unit，TPU)、深度学习处理单元(DeeplearningProcessingUnit，DPU)等。
图5是本公开实施例提出的通信设备的结构示意图。如图5所示，通信设备5100可以包括：收发模块5101。
在一些实施例中，通信设备5100为第一设备(例如，定位服务器、提供定位管理功能的网络节点)，收发模块5101用于接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。在一些实施例中，上述收发模块5101用于执行以上任一方法中第一设备执行的发送和/或接收等通信步骤(例如步骤S3101、步骤S3102、步骤S3103，但不限于此)中的至少一者，此处不再赘述。
在一些实施例中，通信设备5100为第二设备(例如：终端、接入网设备)，收发模块5101用于向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。在一些实施例中，上述收发模块5101还用于执行以上任一方法中第二设备执行的发送和/或接收等通信步骤(例如步骤S4101、步骤S4102、步骤S4103、步骤S4107，但不限于此)中的至少一者，此处不再赘述。
在一些实施例中，上述收发模块可以包括发送模块和/或接收模块。发送模块和接收模块可以是分离的，也可以集成在一起。可选地，上述收发模块可以与收发器相互替换。
图6是根据本公开实施例提供的通信设备的结构示意图。通信设备6100可以是第一设备(例如，定位服务器、提供定位管理功能的网络节点)，也可以是第二设备(例如终端或接入网设备等)，也可以是支持第一设备实现以上任一方法的芯片、芯片系统、或处理器等，还可以是支持第二设备实现以上任一方法的芯片、芯片系统、或处理器等。通信设备6100可用于实现上述方法实施例中描述的方法，具体可以参见上述方法实施例中的说明。
如图6所示，通信设备6100包括一个或多个处理器6101。处理器6101可以是通用处理器或者专用处理器等，例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理，中央处理器可以用于对通信装置(如，基站、基带芯片，终端设备、终端设备芯片，DU或CU等)进行控制，执行程序，处理程序的数据。可选地，通信设备6100用于执行以上任一方法。可选地，一个或多个处理器6101用于调用指令以使得通信设备6100执行以上任一方法。
在一些实施例中，通信设备6100还包括一个或多个收发器6102。在通信设备6100包括一个或多个收发器6102时，收发器6102执行上述方法中的发送和/或接收等通信步骤(例如，步骤S3101、步骤S3102、步骤S3103、步骤S4101、步骤S4102、步骤S4107，但不限于此)中的至少一者，处理器6101执行其它步骤(例如，步骤S3104、步骤S3105、步骤S3106、步骤S4103、步骤S4104、步骤S4105、步骤S4106，但不限于此)中的至少一者。在可选的实施例中，收发器6102可以包括接收器和/或发送器，接收器和发送器可以是分离的，也可以集成在一起。可选地，收发器、收发单元、收发机、收发电路、接口电路、接口等术语可以相互替换，发送器、发送单元、发送机、发送电路等术语可以相互替换，接收器、接收单元、接收机、接收电路等术语可以相互替换。
在一些实施例中，通信设备6100还包括用于存储数据的一个或多个存储器6103。可选地，全部或部分存储器6103也可以处于通信设备6100之外。在可选的实施例中，通信设备6100可以包括一个或多个接口电路6104。可选地，接口电路6104与存储器6103连接，接口电路6104可用于从存储器6103或其他装置接收数据，可用于向存储器6103或其他装置发送数据。例如，接口电路6104可读取存储器6103中存储的数据，并将该数据发送给处理器6101。
以上实施例描述中的通信设备6100可以是接入网设备或者终端，但本公开中描述的通信设备6100的范围并不限于此，通信设备6100的结构可以不受图6的限制。通信设备可以是独立的设备或者可以是较 大设备的一部分。例如通信设备可以是：1)独立的集成电路IC，或芯片，或，芯片系统或子系统；(2)具有一个或多个IC的集合，可选地，上述IC集合也可以包括用于存储数据，程序的存储部件；(3)ASIC，例如调制解调器(Modem)；(4)可嵌入在其他设备内的模块；(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等；(6)其他等等。
图7是根据本公开实施例提供的芯片的结构示意图。对于通信设备6100可以是芯片或芯片系统的情况，可以参见图7所示的芯片7100的结构示意图，但不限于此。
芯片7100包括一个或多个处理器7101。芯片7100用于执行以上任一方法。
在一些实施例中，芯片7100还包括一个或多个接口电路7102。可选地，接口电路、接口、收发管脚等术语可以相互替换。在一些实施例中，芯片7100还包括用于存储数据的一个或多个存储器7103。可选地，全部或部分存储器7103可以处于芯片7100之外。可选地，接口电路7102与存储器7103连接，接口电路7102可以用于从存储器7103或其他装置接收数据，接口电路7102可用于向存储器7103或其他装置发送数据。例如，接口电路7102可读取存储器7103中存储的数据，并将该数据发送给处理器7101。
在一些实施例中，接口电路7102执行上述方法中的发送和/或接收等通信步骤(例如，步骤S3101、步骤S3102、步骤S3103、步骤S4101、步骤S4102、步骤S4107，但不限于此)中的至少一者。接口电路7102执行上述方法中的发送和/或接收等通信步骤例如是指：接口电路7102执行处理器7101、芯片7100、存储器7103或收发器件之间的数据交互。在一些实施例中，处理器7101执行其他步骤(例如，步骤S3104、步骤S3105、步骤S3106、步骤S4103、步骤S4104、步骤S4105、步骤S4106，但不限于此)中的至少一者。
虚拟装置、实体装置、芯片等各实施例中所描述的各模块和/或器件可以根据情况任意组合或者分离。可选地，部分或全部步骤也可以由多个模块和/或器件协作执行，此处不做限定。
本公开实施例还提出一种存储介质，上述存储介质上存储有指令，当上述指令在通信设备6100上运行时，使得通信设备6100执行以上任一方法。可选地，上述存储介质是电子存储介质。可选地，上述存储介质是计算机可读存储介质，但不限于此，其也可以是其他装置可读的存储介质。可选地，上述存储介质可以是非暂时性(non-transitory)存储介质，但不限于此，其也可以是暂时性存储介质。
本公开实施例还提出一种程序产品，上述程序产品被通信设备6100执行时，使得通信设备6100执行以上任一方法。可选地，上述程序产品是计算机程序产品。
本公开实施例还提出一种计算机程序，当其在计算机上运行时，使得计算机执行以上任一方法。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其他实施方案。本公开旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。

Claims (30)

  1. 一种通信方法，由第一设备执行，所述方法包括：
    接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
  2. 根据权利要求1所述的方法，其中，所述第一测量结果包括以下之一：
    所述第二测量结果；
    由所述第二测量结果输入AI模型所得到的输出。
  3. 根据权利要求1或2所述的方法，其中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
  4. 根据权利要求1至3任一项所述的方法，其中，所述方法还包括：
    发送第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
  5. 根据权利要求4所述的方法，其中，所述第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
  6. 根据权利要求4所述的方法，其中，所述第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果。
  7. 根据权利要求4所述的方法，其中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果。
  8. 根据权利要求4至7任一项所述的方法，其中，所述第一设备位于核心网，所述第二设备为终端和/或接入网设备。
  9. 根据权利要求8所述的方法，其中，所述第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送根据第二测量结果得到的所述终端位置。
  10. 根据权利要求7至9任一项所述的方法，其中，所述基于非AI的定位，包括以下至少之一：
    到达时间差TDOA的定位；
    到达角AOA的定位；
    离开角AOD的定位；
    多个往返时间Multi-RTT的定位。
  11. 根据权利要求1至10任一项所述的方法，其中，所述方法还包括：
    接收第三信息，所述第三信息用于指示以下至少之一：
    终端对基于采样的测量的支持能力；
    终端对基于路径的测量的支持能力。
  12. 根据权利要求4至11任一项所述的方法，其中，所述第二信息携带于第一消息中，所述第一消息为定位协议消息。
  13. 一种通信方法，由第二设备执行，所述方法包括：
    向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
  14. 根据权利要求13所述的方法，其中，所述第一测量结果包括以下之一：
    所述第二测量结果；
    由所述第二测量结果输入AI模型所得到的输出。
  15. 根据权利要求13或14所述的方法，其中，在所述第一信息包括所述终端位置的情况下，所述终端位置是所述第二设备根据所述第二测量结果确定的。
  16. 根据权利要求13至15任一项所述的方法，其中，所述方法还包括：
    接收第二信息，所述第二信息用于指示所述第二设备发送所述第一测量结果或所述终端位置。
  17. 根据权利要求16所述的方法，其中，所述第一设备部署有AI模型，在基于AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括第一测量结果。
  18. 根据权利要求16所述的方法，其中，所述第二设备部署有AI模型，在基于AI的定位过程中，所述第二信息还用于指示所述AI模型的输入为所述第二测量结果；所述第一信息包括所述终端位置，或者所述第一信息包括所述第一测量结果和所述终端位置。
  19. 根据权利要求16所述的方法，其中，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述第一测量结果，所述第一信息包括所述第一测量结果。
  20. 根据权利要求16至19任一项所述的方法，其中，所述第一设备位于核心网，所述第二设备为终 端和/或接入网设备。
  21. 根据权利要求20所述的方法，其中，所述第二设备为终端，在基于非AI的定位过程中，所述第二信息用于指示所述第二设备发送所述终端位置，所述终端位置根据所述第二测量结果得到。
  22. 根据权利要求19至21任一项所述的方法，其中，所述基于非AI的定位，包括以下至少之一：
    到达时间差TDOA的定位；
    到达角AOA的定位；
    离开角AOD的定位；
    多个往返时间Multi-RTT的定位。
  23. 根据权利要求13至22任一项所述的方法，其中，所述方法还包括：
    发送第三信息，所述第三信息用于指示以下至少之一：
    终端对基于采样的测量的支持能力；
    终端对基于路径的测量的支持能力。
  24. 根据权利要求16至23任一项所述的方法，其中，所述第二信息携带于第一消息中，所述第一消息为定位协议消息。
  25. 一种通信设备，包括：
    收发模块，被配置为接收第二设备发送的第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
  26. 一种通信设备，包括：
    收发模块，被配置为向第一设备发送第一信息，所述第一信息包括第一测量结果和/或终端位置，所述第一测量结果是根据第二测量结果得到的，所述第二测量结果包括以下至少之一：基于采样的测量得到的测量结果、基于路径的测量得到的测量结果。
  27. 一种通信设备，包括：
    一个或多个处理器；
    其中，所述通信设备用于执行权利要求1至24任一项所述的通信方法。
  28. 一种通信系统，包括通信设备，其中，所述通信设备被配置为实现如权利要求1至24任一项所述的通信方法。
  29. 一种存储介质，所述存储介质存储有指令，当所述指令在通信设备上运行时，使得所述通信设备执行如权利要求1至24中任一项所述的通信方法。
  30. 一种计算机程序产品，包括计算机程序，计算机程序被处理器执行时，实现权利要求1至24中任一项所述的通信方法。
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