Cell determination method and apparatus

Abstract

Provided in the present disclosure are a cell determination method, an apparatus, a device and a storage medium. The method comprises: accepting a position update message sent by a terminal for the first time, and sending to the terminal an artificial intelligence (AI) model corresponding to a satellite non-terrestrial network (NTN), wherein the AI model is used for instructing the terminal to use the AI model to determine a cell where the terminal resides. The present disclosure can improve the accuracy of cell determination, and can improve the quality of communication.

Description

Cell determination method and device Technical Field

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

[0002] In communication systems, mobile communication networks require the construction of large-scale base stations to provide wide and deep wireless signal coverage. For example, a terminal can scan for a frequency cell that can be camped on. Once a suitable frequency cell is found, the terminal camps on it. For example, the terminal can find the frequency with the highest energy and attempt to camp on it.

[0003] Summary of the Invention

[0004] The present disclosure proposes a cell determination method, apparatus, device, and storage medium to improve the accuracy of cell determination and thus improve communication quality.

[0005] According to a first aspect of an embodiment of the present disclosure, a cell determination method is proposed, characterized in that the method is performed by a network device and includes:

[0006] Receive the location update message sent by the terminal for the first time, and send an artificial intelligence AI model corresponding to a satellite non-terrestrial network (NTN) to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell in which the terminal resides.

[0007] According to a second aspect of an embodiment of the present disclosure, a cell determination method is proposed, characterized in that the method is executed by a terminal and includes:

[0008] When the location update message sent by the terminal for the first time is accepted by the network device, an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device is received;

[0009] The AI ​​model is used to determine the cell where the terminal resides based on the location information and motion status information of the terminal.

[0010] According to a third aspect of an embodiment of the present disclosure, a network device is provided, comprising:

[0011] The transceiver module is used to receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides.

[0012] According to a fourth aspect of an embodiment of the present disclosure, a terminal is provided, comprising:

[0013] a transceiver module, configured to receive an artificial intelligence (AI) model corresponding to a satellite non-terrestrial network (NTN) sent by the network device when a location update message sent by the terminal for the first time is received by the network device;

[0014] A processing module is used to determine the cell where the terminal resides using the AI ​​model based on the location information and motion state information of the terminal.

[0015] According to a fifth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0016] one or more processors;

[0017] The network device is used to execute the cell determination method described in any one of the first aspects.

[0018] According to a sixth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0019] one or more processors;

[0020] The terminal is used to execute the cell determination method described in any one of the second aspects.

[0021] According to the seventh aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal and a network device, wherein the network device is configured to implement the cell determination method described in any one of the first aspects and the terminal is configured to implement the cell determination method described in any one of the second aspects.

[0022] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the cell determination method as described in any one of the first to second aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0024] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

[0025] FIG2A is a schematic diagram illustrating an example of an AI model provided by an embodiment of the present disclosure;

[0026] FIG3A is an interactive diagram of a cell determination method provided by an embodiment of the present disclosure;

[0027] FIG4A is a schematic flow chart of a cell determination method provided by yet another embodiment of the present disclosure;

[0028] FIG5A is a schematic flow chart of a cell determination method provided by yet another embodiment of the present disclosure;

[0029] FIG6A is a schematic flow chart of a cell determination method provided in yet another embodiment of the present disclosure;

[0030] FIG7A is a schematic structural diagram of a network device provided by an embodiment of the present disclosure;

[0031] FIG7B is a schematic structural diagram of a terminal provided by an embodiment of the present disclosure;

[0032] FIG8A is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

[0033] FIG8B is a schematic structural diagram of a chip provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The present disclosure proposes a cell determination method, apparatus, device, and storage medium to improve the accuracy of cell determination and thus improve communication quality.

[0035] According to a first aspect of an embodiment of the present disclosure, a cell determination method is proposed, where the method is performed by a network device and includes:

[0036] Accept the location update message sent by the accept terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides.

[0037] In the above embodiment, a cell determination execution mechanism can be provided, and an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN can be sent to the terminal. The terminal can use the AI ​​model to determine the cell to reside in, which can improve the accuracy of cell determination and reduce the situation where the frequency signal strength of the determined cell fluctuates greatly, resulting in poor terminal communication quality. The terminal can always reside in the cell with the best signal conditions, which can reduce the probability of service access failure, improve communication quality, and improve user experience.

[0038] In combination with some embodiments of the first aspect, in some embodiments, the AI ​​model is a frequency network deployment AI model.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0040] The AI ​​model corresponding to the satellite non-terrestrial network NTN is trained according to the network information of the satellite non-terrestrial network NTN.

[0041] In the above embodiment, the AI ​​model can be trained based on the network information of the satellite non-terrestrial network NTN, which can improve the matching of the AI ​​model and the network information, improve the accuracy of AI model training, improve the accuracy of cell determination, and improve communication quality.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the satellite non-terrestrial network NTN includes at least one of the following:

[0043] Low-Earth Orbit (LEO);

[0044] Medium-Earth Orbit (MEO);

[0045] Geostationary Earth Orbit (GEO).

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the network information includes at least one of the following:

[0047] Relative position information with respect to the Earth;

[0048] Spot beam coverage information;

[0049] Frequency allocation information.

[0050] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0051] Receive the indication information sent by the terminal, wherein the indication information is used to indicate whether the terminal supports the AI ​​model.

[0052] In the above embodiments, whether the terminal supports the AI ​​model can be clarified based on the obtained indication information, which can improve the accuracy of AI model transmission, improve the accuracy of cell determination, and improve communication quality. In conjunction with some embodiments of the first aspect, in some embodiments, the indication information is an indication bit.

[0053] In combination with some embodiments of the first aspect, in some embodiments, the location update message includes the indication information.

[0054] In the above embodiment, the indication information can be obtained through the location update message, which can clarify whether the terminal supports the AI ​​model, improve the accuracy of AI model transmission, improve the accuracy of cell determination, and improve communication quality.

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

[0056] Receive capability information sent by the terminal, wherein the capability information includes supported AI model capability information.

[0057] In the above embodiment, the AI ​​model capability information supported by the terminal can be clarified based on the acquired capability information, the type of AI model supported by the terminal can be determined, the accuracy of AI model transmission can be improved, the accuracy of cell determination can be improved, and the communication quality can be improved.

[0058] In combination with some embodiments of the first aspect, in some embodiments, the indication information is an indication bit.

[0059] In conjunction with some embodiments of the first aspect, in some embodiments, sending the AI ​​model corresponding to the satellite non-terrestrial network NTN to the terminal includes:

[0060] According to the supported AI model capability information, it is determined that the terminal supports the AI ​​model corresponding to the satellite non-terrestrial network NTN, and the AI ​​model is sent to the terminal.

[0061] In the above embodiment, based on the acquired AI model capability information, the type of AI model supported by the terminal can be determined, and the AI ​​model corresponding to the satellite non-terrestrial network NTN can be clarified. The accuracy of AI model transmission can be improved, the accuracy of cell determination can be improved, and the communication quality can be improved.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, sending the AI ​​model corresponding to the satellite non-terrestrial network NTN to the terminal includes:

[0063] The AI ​​model corresponding to the satellite non-terrestrial network NTN is sent to the terminal through a specific message corresponding to the terminal.

[0064] In the above embodiment, the AI ​​model corresponding to the satellite non-terrestrial network NTN can be sent to the terminal through a specific message corresponding to the terminal, which can improve the accuracy of the transmission of the AI ​​model corresponding to the satellite non-terrestrial network NTN, improve the accuracy of cell determination, and improve the communication quality.

[0065] According to a second aspect of an embodiment of the present disclosure, a cell determination method is proposed, where the method is performed by a terminal and includes:

[0066] When the location update message sent by the terminal for the first time is accepted by the network device, an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device is received;

[0067] The AI ​​model is used to determine the cell where the terminal resides based on the location information and motion status information of the terminal.

[0068] In the above embodiment, a cell determination execution mechanism can be provided, and an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by a network device can be received. The AI ​​model can be used to determine the resident cell, which can improve the accuracy of cell determination and reduce the large fluctuations in the frequency signal strength of the determined cell. In the case of poor terminal communication quality, the terminal can always reside in the cell with the best signal conditions, which can reduce the probability of service access failure, improve communication quality, and improve user experience.

[0069] In conjunction with some embodiments of the second aspect, in some embodiments, the cell in which the terminal resides includes at least one of the following:

[0070] The cell with the best signal in the area where the terminal is located;

[0071] The next handover condition target handover cell, wherein the terminal is in motion.

[0072] In conjunction with some embodiments of the second aspect, in some embodiments, the satellite non-terrestrial network NTN includes at least one of the following:

[0073] Low Earth Orbit (LEO);

[0074] Medium Earth Orbit (MEO);

[0075] Geosynchronous Orbit GEO.

[0076] In conjunction with some embodiments of the second aspect, in some embodiments, the location information includes at least one of the following:

[0077] Latitude and longitude information;

[0078] Height information.

[0079] In conjunction with some embodiments of the second aspect, in some embodiments, the motion state information includes at least one of the following:

[0080] Elevation angle to the satellite;

[0081] direction of movement;

[0082] Movement speed.

[0083] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0084] Send the indication information to the network device, wherein the indication information is used to indicate whether the terminal supports the AI ​​model.

[0085] In combination with some embodiments of the second aspect, in some embodiments, the location update message includes the indication information.

[0086] In combination with some embodiments of the second aspect, in some embodiments, the indication information is an indication bit.

[0087] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0088] Send capability information to the network device, wherein the capability information includes supported AI model capability information.

[0089] In conjunction with some embodiments of the second aspect, in some embodiments, the receiving the AI ​​model corresponding to the satellite non-terrestrial network NTN sent by the network device includes:

[0090] The AI ​​model corresponding to the satellite non-terrestrial network NTN sent by the network device is received through a specific message corresponding to the terminal.

[0091] According to a third aspect of an embodiment of the present disclosure, a network device is provided, comprising:

[0092] The transceiver module is used to receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides.

[0093] According to a fourth aspect of an embodiment of the present disclosure, a terminal is provided, comprising:

[0094] a transceiver module, configured to receive an artificial intelligence (AI) model corresponding to a satellite non-terrestrial network (NTN) sent by the network device when a location update message sent by the terminal for the first time is received by the network device;

[0095] A processing module is used to determine the cell where the terminal resides using the AI ​​model based on the location information and motion state information of the terminal.

[0096] According to a fifth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0097] one or more processors;

[0098] The network device is used to execute the cell determination method described in any one of the first aspects.

[0099] According to a sixth aspect of an embodiment of the present disclosure, a terminal is provided, including:

[0100] one or more processors;

[0101] The terminal is used to execute the cell determination method described in any one of the second aspects.

[0102] According to the seventh aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal and a network device, wherein the network device is configured to implement the cell determination method described in any one of the first aspects and the terminal is configured to implement the cell determination method described in any one of the second aspects.

[0103] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the cell determination method as described in any one of the first to second aspects.

[0104] The present disclosure provides a cell determination method. In some embodiments, the terms "cell determination method" and "information processing method" and "communication method" are interchangeable; the terms "cell determination device" and "information processing device" and "communication device" are interchangeable; and the terms "information processing system" and "communication system" are interchangeable.

[0105] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0106] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0107] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0108] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0109] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0110] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. can be used interchangeably.

[0111] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0112] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0113] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0114] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0115] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0116] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0117] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0118] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0119] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0120] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc.

[0121] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0122] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0123] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0124] FIG1 is a schematic diagram illustrating the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 .

[0125] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0126] In some embodiments, the network device 102 may include, for example, at least one of an access network device and a core network device.

[0127] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a sixth generation mobile networks (6G) communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0128] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0129] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0130] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0131] In some embodiments, the core network device may be a single device including a first network element, a second network element, etc., or may be a plurality of devices or a group of devices, each including all or part of the first network element, the second network element, etc. The network element may be virtual or physical. The core network may include, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0132] In some embodiments, the first network element is, for example, an Access and Mobility Management Function (AMF).

[0133] In some embodiments, the first network element is used to "be responsible for functions such as terminal identity authentication, authorization, registration, mobility management and connection management", but the name is not limited to this.

[0134] In some embodiments, the second network element is, for example, a Session Management Function (SMF).

[0135] In some embodiments, the second network element is used to "be responsible for interacting with the decoupled data plane, creating, updating and deleting protocol data unit (PDU) sessions, and user plane function (UPF) management of session contexts", and the name is not limited thereto.

[0136] In some embodiments, the third network element is, for example, a user plane function (UPF).

[0137] In some embodiments, the third network element is used to "implement user interface services of the 5G network, including but not limited to: air interface, routing, QoS (quality of service) and security of the network architecture", and the name is not limited to this.

[0138] In some embodiments, the third network element may be independent of the core network device.

[0139] In some embodiments, the third network element may be part of a core network device.

[0140] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0141] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0142] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0143] In some embodiments, non-terrestrial networks (NTNs) can be, for example, one of the enabling technologies for the sixth generation mobile networks (6G) system. NTN components fully integrated into the 6G infrastructure not only enable the integration and expansion of terrestrial networks in densely populated and rural areas, but also provide greater resilience, improved sustainability, high spectrum availability, and greater flexibility. To achieve this, the 6G NTN network utilizes a multi-dimensional, multi-layer architecture consisting of space and airborne flight nodes and includes novel enablers such as artificial network intelligence (AI).

[0144] In some embodiments, the added value that NTN components bring to the terrestrial system architecture has also been recognized by the 3rd Generation Partnership Project (3GPP), which has begun integrating NTN into the New Radio (NR) architecture in some embodiments, starting the NTN journey in the 5th Generation Mobile Communication Technology (5G) ecosystem.

[0145] FIG2A is a schematic diagram of an example of an AI model provided by an embodiment of the present disclosure, which includes the current interaction mode between the satellite NTN network and the terminal and the type of interaction mode between the cellular terrestrial network and the terminal, wherein, as shown in FIG2A , for example, it may include model development Model development, model registration Model registration and device upgrade Device upgrade. Device upgrade Device upgrade may, for example, be an over-the-air software upgrade (Firmware Over-The-Air, FOTA) of a mobile terminal. Model development Model development includes model design Model design, model training Model training, model compilation Model compile and model testing Model testing. Among them, the interaction between the terminal and the network device may also include, for example, terminal capability UE capability, model configuration Model configuration and model delivery Model delivery.

[0146] In some embodiments, current satellite terminals usually use frequency scanning to find a frequency point on which they can reside. They search all frequency bands and frequency points supported by the terminal, find the frequency point with the highest energy, and try to reside there. Since current smart terminals are usually not omnidirectional antennas, the movement when searching for satellites and searching for satellite signals may cause large fluctuations in the signal strength of the searched frequency. The cell in which they attempt to reside may not be the cell with the best signal in the area, resulting in poor terminal communication quality.

[0147] A cell determination method, apparatus, device, and storage medium provided by embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0148] FIG3A is an interactive diagram of a cell determination method provided by an embodiment of the present disclosure. As shown in FIG3A , the method may include the following steps:

[0149] Step S3101: Accept the location update message sent by the terminal for the first time, and the network device sends the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, where the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides;

[0150] In one embodiment of the present disclosure, the AI ​​model can be used to determine the cell in which the terminal resides. This cell can be, for example, the cell with the best signal quality in the area where the terminal is located. It can also be a cell that meets signal requirements in the area where the terminal is located. This cell can be, for example, the next conditional target handover cell to be switched to when the terminal is in motion. This embodiment of the present disclosure is not limited to this.

[0151] In one embodiment of the present disclosure, the AI ​​model is a frequency network deployment AI model.

[0152] In one embodiment of the present disclosure, the cell where the terminal resides may be, for example, a frequency cell where the terminal resides.

[0153] In one embodiment of the present disclosure, accepting the location update message sent by the terminal for the first time may be, for example, the location update message sent by the terminal for the first time being accepted by the network device. The location update message sent by the terminal for the first time may be, for example, the location update message sent by the terminal when registering for the first time.

[0154] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0155] For example, in one embodiment of the present disclosure, the method further includes:

[0156] According to the network information of the satellite non-terrestrial network NTN, an AI model corresponding to the satellite non-terrestrial network NTN is trained.

[0157] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0158] In one embodiment of the present disclosure, different network information may correspond to different AI models.

[0159] In one embodiment of the present disclosure, the satellite non-terrestrial network NTN includes at least one of the following:

[0160] Low Earth Orbit (LEO);

[0161] Medium Earth Orbit (MEO);

[0162] Geosynchronous Orbit GEO.

[0163] For example, in one embodiment of the present disclosure, the satellite non-terrestrial network NTN includes a low earth orbit LEO.

[0164] For example, in one embodiment of the present disclosure, the satellite non-terrestrial network NTN includes a medium earth orbit MEO.

[0165] For example, in one embodiment of the present disclosure, the satellite non-terrestrial network NTN includes a geosynchronous orbit GEO.

[0166] In one embodiment of the present disclosure, the network information includes at least one of the following:

[0167] Relative position information with respect to the Earth;

[0168] Spot beam coverage information;

[0169] Frequency allocation information.

[0170] In one embodiment of the present disclosure, the network information includes relative position information with respect to the earth.

[0171] In one embodiment of the present disclosure, the network information includes spot beam coverage information.

[0172] In one embodiment of the present disclosure, the network information includes frequency allocation information.

[0173] In one embodiment of the present disclosure, network information for a GEO geosynchronous satellite can be, for example, information about its relative stationary position relative to Earth, a substantially fixed spot beam coverage area, and relatively fixed frequency allocations. For the Tiantong system, seven fixed frequencies are allocated under one spot beam, allowing network equipment to determine signal strength within the coverage area.

[0174] In one embodiment of the present disclosure, network information for a LEO geosynchronous satellite may include, for example, its relative motion relative to the Earth, a fixed relative speed, and a constantly changing spot beam coverage range. When using an AI model to determine a cell, the terminal can determine the relative speed of the satellite and the Earth, the changing coverage range of the spot beam, and predict the cell with the best signal at the current moment based on time.

[0175] In one embodiment of the present disclosure, the network information of the MEO geosynchronous satellite is between that of the GEO and LEO, and the MEO geosynchronous satellite can be mostly used as a navigation satellite.

[0176] In one embodiment of the present disclosure, the method further includes:

[0177] Receive indication information sent by the terminal, where the indication information is used to indicate whether the terminal supports the AI ​​model.

[0178] In one embodiment of the present disclosure, the location update message includes indication information, and the indication information is used to indicate whether the terminal supports the AI ​​model.

[0179] In one embodiment of the present disclosure, the method further includes:

[0180] Receive indication information sent by the terminal, where the indication information is used to indicate whether the terminal supports the AI ​​model.

[0181] For example, in one embodiment of the present disclosure, the network device may obtain the indication information through a location update message, or may receive the indication information separately, which is not limited in this embodiment of the present disclosure.

[0182] In one embodiment of the present disclosure, the indication information is an indication bit.

[0183] For example, in one embodiment of the present disclosure, the information of the indicator bit may be, for example, 1, indicating that the terminal supports the AI ​​model, and the information of the indicator bit may be, for example, 0, indicating that the terminal does not support the AI ​​model. The information of the indicator bit may be, for example, 0, indicating that the terminal supports the AI ​​model, and the information of the indicator bit may be, for example, 1, indicating that the terminal does not support the AI ​​model. This embodiment of the present disclosure is not limited to this.

[0184] In some embodiments, for example, it can be indicated to determine or judge whether the terminal supports the AI ​​model, wherein the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true (true) or false (false), or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0185] In one embodiment of the present disclosure, the method further includes:

[0186] The capability information sent by the receiving terminal is included in the capability information of the supported AI models.

[0187] For example, in one embodiment of the present disclosure, the capability information includes supported AI model capability information, and the supported AI model capability information can be used to indicate what type of AI model the terminal supports.

[0188] In one embodiment of the present disclosure, sending an AI model corresponding to a satellite non-terrestrial network (NTN) to a terminal includes:

[0189] According to the supported AI model capability information, it is determined that the terminal supports the AI ​​model corresponding to the satellite non-terrestrial network NTN, and the AI ​​model is sent to the terminal.

[0190] In one embodiment of the present disclosure, sending an AI model corresponding to a satellite non-terrestrial network (NTN) to a terminal includes:

[0191] The AI ​​model corresponding to the satellite non-terrestrial network NTN is sent to the terminal through a specific message corresponding to the terminal.

[0192] In one embodiment of the present disclosure, the specific message corresponding to the terminal may be, for example, an AI model transmission message, which is not limited in this embodiment of the present disclosure.

[0193] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0194] Step S3102: When the location update message sent by the terminal for the first time is received by the network device, the terminal receives an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device;

[0195] In one embodiment of the present disclosure, the network device receives the location update message sent by the terminal for the first time, the network device can send an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, and the terminal can receive the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device.

[0196] In step S3103, the terminal uses an AI model to determine the cell where the terminal resides based on the location information and motion status information of the terminal.

[0197] In one embodiment of the present disclosure, the cell where the terminal resides includes at least one of the following:

[0198] The cell with the best signal in the area where the terminal is located;

[0199] The next handover condition targets a handover cell where the terminal is in motion.

[0200] In one embodiment of the present disclosure, the cell where the terminal resides includes the cell with the best signal in the area where the terminal is located.

[0201] In one embodiment of the present disclosure, the cell in which the terminal resides includes a conditional target handover cell for the next handover, and the terminal is in motion. For example, when the terminal is in motion, the terminal may use an AI model to determine a conditional target handover cell for the next handover.

[0202] In one embodiment of the present disclosure, the satellite non-terrestrial network NTN includes at least one of the following:

[0203] Low Earth Orbit (LEO);

[0204] Medium Earth Orbit (MEO);

[0205] Geosynchronous Orbit GEO.

[0206] In one embodiment of the present disclosure, the location information includes at least one of the following:

[0207] Latitude and longitude information;

[0208] Height information.

[0209] For example, in one embodiment of the present disclosure, the location information is not limited to the above.

[0210] For example, in one embodiment of the present disclosure, the location information includes latitude and longitude information.

[0211] For example, in one embodiment of the present disclosure, the location information includes altitude information.

[0212] In one embodiment of the present disclosure, the motion state information includes at least one of the following:

[0213] Elevation angle to the satellite;

[0214] direction of movement;

[0215] Movement speed.

[0216] For example, in one embodiment of the present disclosure, the motion state information is not limited to the above.

[0217] For example, in one embodiment of the present disclosure, the motion state information includes an elevation angle relative to a satellite.

[0218] For example, in one embodiment of the present disclosure, the motion state information includes a motion direction.

[0219] For example, in one embodiment of the present disclosure, the motion state information includes motion speed.

[0220] In one embodiment of the present disclosure, the method further includes:

[0221] Send an indication message to the network device, where the indication message is used to indicate whether the terminal supports the AI ​​model.

[0222] In one embodiment of the present disclosure, the location update message includes indication information, and the indication information is used to indicate whether the terminal supports the AI ​​model.

[0223] In one embodiment of the present disclosure, the method further includes:

[0224] Send capability information to the network device, where the capability information includes supported AI model capability information.

[0225] In one embodiment of the present disclosure, the indication information is an indication bit.

[0226] In one embodiment of the present disclosure, receiving an AI model corresponding to a satellite non-terrestrial network (NTN) sent by a network device includes:

[0227] Through specific messages corresponding to the terminal, the AI ​​model corresponding to the satellite non-terrestrial network NTN sent by the network device is received.

[0228] In some embodiments, steps S3101 to S3103 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0229] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3103. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, and step S3103 may be implemented as an independent embodiment, but is not limited thereto.

[0230] In some embodiments, steps S3102 to S3103 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0231] In some embodiments, step S3103 is optional and may be omitted or replaced in different embodiments.

[0232] FIG4A is a flow chart of a cell determination method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a cell determination method, which is performed by a first node and includes at least one of the following:

[0233] Step S4101: receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides.

[0234] The optional implementation of step S4101 can refer to the optional implementation of step S3101 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0235] FIG5A is a flow chart of a cell determination method according to an embodiment of the present disclosure. As shown in FIG5A , the embodiment of the present disclosure relates to a cell determination method, which is executed by a network device. The method includes:

[0236] Step S5101: When the location update message sent by the terminal for the first time is received by the network device, an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device is received;

[0237] Step S5102: Based on the terminal's location information and motion status information, an AI model is used to determine the cell where the terminal resides.

[0238] The optional implementation of step S5101 can refer to the optional implementation of step S3103 in Figure 3A and other related parts in the embodiment involved in Figure 3A, which will not be repeated here.

[0239] FIG6A is a flow chart of a cell determination method according to an embodiment of the present disclosure. As shown in FIG6A , the embodiment of the present disclosure relates to a cell determination method, which includes:

[0240] An AI model is introduced into the satellite NTN network. An indication bit of whether the AI ​​model is supported is added to the location update message of the user equipment (UE) for registration location update. When the UE capability is reported, an indication information of whether the artificial intelligence (AI) model is supported and which AI model can be supported is sent. When the network equipment finds that the UE supports the AI ​​model function, it can query the detailed information of the AI ​​model that the UE can support again. After the location is accepted, the trained AI model is transmitted to the UE through a UE-specific message, such as an AI model transmission message, so that the UE can use the trained AI model to input the UE's location information (latitude and longitude, altitude information) and motion status information (elevation angle between the satellite, motion direction, motion speed, etc.) when selecting the network frequency in the future, and predict the cell with the best signal in the UE's area for residence and the next conditional target switching cell to be switched.

[0241] Step S6101: Based on the characteristics of non-terrestrial networks (NTNs) (LEO, MEO, GEO, etc.), an AI model for frequency network deployment of NTN networks is trained.

[0242] a) Geostationary Earth Orbit (GEO): Geosynchronous satellites are characterized by their relative stationary position relative to the Earth, a fixed spot beam coverage area, and relatively fixed frequency allocation. For example, in the Tiantong system, seven fixed frequencies are allocated under one spot beam. This allows the satellite network to accurately determine the signal strength of the coverage area.

[0243] b) Low-Earth Orbit (LEO) is characterized by its relative motion relative to the Earth, but at a fixed speed. The coverage of spot beams changes constantly. During frequency network deployment, the relative speed of the satellite and the Earth can be sensed to calculate the coverage range of the spot beams. This allows for predictions of the cell with the best signal at that moment, based on time.

[0244] c) Medium-Earth Orbit (MEO) is between GEO and LEO and is mostly used for navigation satellites.

[0245] In some embodiments, an indication bit of whether the AI ​​model is supported is added to the location update message of the UE.

[0246] In some embodiments, the UE adds support for AI model capabilities in the capability

[0247] In step S6102, after the network accepts the location update message sent by the accept terminal when it registers for the first time, the network can transmit the network's AI model to the UE that can support the AI ​​model function based on the terminal's AI model capability.

[0248] In step S6103, after receiving the AI ​​model of the satellite network, the UE can combine its own location information (latitude and longitude, altitude information) and motion status information (elevation angle between the satellite, movement direction, movement speed, etc.) to predict the cell with the best signal in the UE's area and reside there.

[0249] In some embodiments, for a UE in motion, the next conditional target switching cell to be switched can also be predicted.

[0250] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0251] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0252] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0253] In the embodiment of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by a processor as an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0254] Figure 7A is a structural diagram of a network device proposed in an embodiment of the present disclosure. As shown in Figure 7A, the network device 7100 may include: a transceiver module 7101. In some embodiments, the above-mentioned transceiver module is used to receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI ​​model is used to instruct the terminal to use the AI ​​model to determine the cell where the terminal resides. Optionally, the above-mentioned transceiver module 7101 is used to perform at least one of the communication steps such as sending and / or receiving performed in any of the above methods (such as step S3101, but not limited to this), which will not be repeated here.

[0255] FIG7B is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure. As shown in FIG7B , terminal 7200 may include: a transceiver module 7201 and a processing module 7202. Transceiver module 7201 is configured to receive an artificial intelligence (AI) model corresponding to a non-terrestrial satellite network (NTN) from a network device when a location update message sent by the terminal for the first time is received by the network device; and processing module 7202 is configured to use the AI ​​model to determine the cell in which the terminal resides based on the terminal's location information and motion state information.

[0256] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0257] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0258] Figure 8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 8100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0259] As shown in Figure 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The communication device 8100 is used to perform any of the above methods.

[0260] In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 may be located outside the communication device 8100.

[0261] In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S3101 and step S3102, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S3103, but not limited thereto).

[0262] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0263] In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102. The interface circuit 8104 may be configured to receive signals from the memory 8102 or other devices, and may be configured to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the processor 8101.

[0264] The communication device 8100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 10A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0265] FIG8B is a schematic diagram of the structure of a chip 8200 according to an embodiment of the present disclosure. If the communication device 8100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 8200 shown in FIG8B , but the present disclosure is not limited thereto.

[0266] The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

[0267] In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

[0268] In some embodiments, the interface circuit 8202 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S3101, step S3102, but not limited to this), and the processor 8201 performs at least one of the other steps (for example, step S3103, but not limited to this).

[0269] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0270] In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Alternatively, all or part of the memories 8203 may be outside the chip 8200.

[0271] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a temporary storage medium.

[0272] The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0273] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A cell determination method, characterized in that: The method is performed by a network device, and includes: Receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI model is used to instruct the terminal to use the AI model to determine the cell where the terminal resides.

2. The method according to claim 1, wherein The method further comprises: The AI model corresponding to the satellite non-terrestrial network NTN is trained according to the network information of the satellite non-terrestrial network NTN.

3. The method according to claim 2, wherein in, The satellite non-terrestrial network NTN includes at least one of the following: Low Earth Orbit (LEO); Medium Earth Orbit (MEO); Geosynchronous Orbit GEO.

4. The method according to claim 2, wherein in, The network information includes at least one of the following: Relative position information with respect to the Earth; Spot beam coverage information; Frequency allocation information.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Receive indication information sent by the terminal, wherein the indication information is used to indicate whether the terminal supports the AI model.

6. The method according to any one of claims 1 to 4, wherein: The location update message includes indication information, and the indication information is used to indicate whether the terminal supports the AI model.

7. The method according to claim 5 or 6, wherein: in, The indication information is an indication bit.

8. The method according to any one of claims 5 to 7, wherein: The method further comprises: Receive capability information sent by the terminal, wherein the capability information includes supported AI model capability information.

9. The method according to claim 8, wherein The sending of the AI model corresponding to the satellite non-terrestrial network NTN to the terminal includes: According to the supported AI model capability information, it is determined that the terminal supports the AI model corresponding to the satellite non-terrestrial network NTN, and the AI model is sent to the terminal.

10. The method according to any one of claims 1 to 7, characterized in that The sending of the AI model corresponding to the satellite non-terrestrial network NTN to the terminal includes: The AI model corresponding to the satellite non-terrestrial network NTN is sent to the terminal through a specific message corresponding to the terminal.

11. A cell determination method, characterized in that: The method is executed by a terminal, and includes: When the location update message sent by the terminal for the first time is accepted by the network device, an artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN sent by the network device is received; The AI model is used to determine the cell where the terminal resides based on the location information and motion status information of the terminal.

12. The method according to claim 11, wherein in, The cell where the terminal resides includes at least one of the following: The cell with the best signal in the area where the terminal is located; The next handover condition target handover cell, wherein the terminal is in motion.

13. The method according to claim 11, wherein in, The satellite non-terrestrial network NTN includes at least one of the following: Low Earth Orbit (LEO); Medium Earth Orbit (MEO); Geosynchronous Orbit GEO.

14. The method according to claim 11, wherein in, The location information includes at least one of the following: Latitude and longitude information; Height information.

15. The method according to claim 11, wherein in, The motion state information includes at least one of the following: Elevation angle to the satellite; direction of movement; Movement speed.

16. The method according to any one of claims 11 to 15, characterized in that The method further comprises: Sending indication information to the network device, wherein the indication information is used to indicate whether the terminal supports the AI model.

17. The method according to any one of claims 11 to 15, characterized in that in, The location update message includes indication information, and the indication information is used to indicate whether the terminal supports the AI model.

18. The method according to claim 16 or 17, wherein: in, The indication information is an indication bit.

19. The method according to any one of claims 16 or 17, wherein: The method further comprises: Send capability information to the network device, wherein the capability information includes supported AI model capability information.

20. The method according to any one of claims 11 to 19, wherein The receiving network device sends an AI model corresponding to the satellite non-terrestrial network NTN, including: The AI model corresponding to the satellite non-terrestrial network NTN sent by the network device is received through a specific message corresponding to the terminal.

21. A network device, characterized in that: The network equipment includes: The transceiver module is used to receive the location update message sent by the terminal for the first time, and send the artificial intelligence AI model corresponding to the satellite non-terrestrial network NTN to the terminal, wherein the AI model is used to instruct the terminal to use the AI model to determine the cell where the terminal resides.

22. A terminal, characterized in that: The terminal includes: a transceiver module, configured to receive an artificial intelligence (AI) model corresponding to a satellite non-terrestrial network (NTN) sent by the network device when a location update message sent by the terminal for the first time is received by the network device; A processing module is used to determine the cell where the terminal resides using the AI model based on the location information and motion state information of the terminal.

23. A network device, characterized in that: include: one or more processors; The network device is configured to execute the cell determination method according to any one of claims 1 to 10.

24. A terminal, characterized in that: include: one or more processors; The terminal is configured to execute the cell determination method according to any one of claims 11 to 20.

25. A communication system, characterized in that: The invention comprises a network device and a terminal, wherein the network device is configured to implement the cell determination method according to any one of claims 1 to 10, and the terminal is configured to implement the cell determination method according to any one of claims 11 to 20.

26. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to perform the cell determination method according to any one of claims 1 to 10 or 11 to 20.

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