Access method, terminal, access network device, and storage medium

Abstract

An access method, a terminal, an access network device, and a storage medium. The access method comprises: receiving first information sent by an access network device, wherein the first information comprises an AI model set, and the AI model set comprises at least one trained AI model; and, on the basis of the AI model, acquiring second information, and, on the basis of the second information, sending to the access network device a random access request for random access.

Description

Access method, terminal, access network device and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to an access method, a terminal, an access network device, and a storage medium. Background Art

[0002] Non-terrestrial network (NTN) is one of the technologies for implementing 6G systems. Due to the short satellite visibility window and the need to calculate spatial transmission information for random access when terminals access satellites, a large number of terminals will generate message flow congestion during the random access process, resulting in system performance degradation and even service unavailability.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide an access method, a terminal, an access network device, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, an access method is provided, the method including:

[0006] Receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0007] According to the AI ​​model, second information is obtained, and based on the second information, a random access request is sent to the access network device for random access.

[0008] According to a second aspect of an embodiment of the present disclosure, an access method is provided, the method including:

[0009] Sending first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0010] receiving a random access request sent by the terminal based on second information, wherein the second information is determined by the AI ​​model.

[0011] According to a third aspect of an embodiment of the present disclosure, an access method is provided, the method including:

[0012] Train the AI ​​model and send the trained AI model to the access network device.

[0013] According to a fourth aspect of an embodiment of the present disclosure, a terminal is provided, comprising:

[0014] A receiving module, configured to receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0015] A processing module is used to obtain second information according to the AI ​​model, and send a random access request to the access network device for random access based on the second information.

[0016] According to a fifth aspect of an embodiment of the present disclosure, an access network device is provided, the access network device including:

[0017] A sending module, configured to send first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0018] A receiving module is used to receive a random access request sent by the terminal based on second information, wherein the second information is determined by the AI ​​model.

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

[0020] The processing module is used to train the AI ​​model and send the trained AI model to the access network device.

[0021] According to a seventh aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0022] one or more processors;

[0023] The processor is used to call instructions to enable the communication device to execute the access method as described in any one of the first aspect, the second aspect, and the third aspect.

[0024] According to an eighth aspect of an embodiment of the present disclosure, a communication system is provided, including:

[0025] A terminal, an access network device and a core network device, wherein the terminal is configured to implement the access method described in the first aspect, the access network device is configured to implement the access method described in the second aspect, and the core network device is configured to implement the access method described in the third aspect.

[0026] According to the ninth 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 implements the access method as described in any one of the first aspect, the second aspect, or the third aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0028] FIG1 is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0029] FIG2 is an exemplary interaction diagram of an access method provided according to an embodiment of the present disclosure.

[0030] FIG3A is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0031] FIG3B is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0032] FIG4A is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0033] FIG4B is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0034] FIG5A is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0035] FIG6 is a schematic diagram of an exemplary flow of an access method provided according to an embodiment of the present disclosure.

[0036] FIG7A is a schematic structural diagram of a terminal proposed in an embodiment of the present disclosure.

[0037] FIG7B is a schematic structural diagram of an access network device proposed in an embodiment of the present disclosure.

[0038] FIG7C is a schematic structural diagram of a core network device proposed in an embodiment of the present disclosure.

[0039] FIG8A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure.

[0040] FIG8B is a schematic structural diagram of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0041] The embodiments of the present disclosure provide an access method, a terminal, an access network device, and a storage medium.

[0042] In a first aspect, an embodiment of the present disclosure provides an access method, which is performed by a terminal. The method includes:

[0043] Receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0044] According to the AI ​​model in the first information, second information is obtained; and based on the second information, a random access request is sent to the access network device for random access.

[0045] In the above embodiment, a trained AI model included in the first information is received, the second information is predicted using the AI ​​model, and a random access request is sent to the access network device based on the second information. In the NTN scenario, the second information is predicted in advance using the AI ​​model, so that the terminal and the access network device can perform random access as soon as possible. This can solve the message flow congestion caused by random access of a large number of terminals and calculation of spatial transmission information within a shorter visible window, and can improve the access success rate and reduce the signaling and data retransmission rate.

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

[0047] Master Information Block MIB;

[0048] Access threshold information;

[0049] Ephemeris information.

[0050] In the above embodiment, the first information includes information related to the access satellite, and the second information is predicted based on all the information in the first information, which has higher accuracy.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​model set includes at least one of the following models:

[0052] Spatial transmission channel model;

[0053] Channel state information CSI model;

[0054] Beam management model.

[0055] In the above embodiment, the AI ​​model set may include more than one model, and there are more options for using the AI ​​model to predict the second information. Predictions based on multiple models can result in higher prediction accuracy for the second information.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the second information according to the AI ​​model includes:

[0057] determining status information of the terminal;

[0058] The state information and the ephemeris information are input into the AI ​​model for prediction to obtain the second information.

[0059] In the above embodiment, when acquiring the second information, the terminal status information is combined to ensure that the prediction of the second information is more accurate, so as to improve the access success rate according to the second information.

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

[0061] The elevation angle between the terminal and the access satellite;

[0062] the direction of movement of the terminal;

[0063] The movement speed of the terminal.

[0064] In the above embodiment, the state information includes at least one of the elevation angle, the movement direction and the movement speed, so as to avoid errors in the prediction of the second information caused by neglect of the terminal state information and ensure the accuracy of the prediction.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the second information includes at least one of the following information:

[0066] Spatial transmission channel parameters;

[0067] Doppler shift;

[0068] Timing advance TA.

[0069] In the above embodiment, the predicted second information includes at least spatial transmission channel parameters, Doppler frequency shift and timing advance TA, so that the terminal can perform random access to the access satellite according to the second information, thereby improving the access success rate and reducing the signaling and data retransmission rate.

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

[0071] Search for satellite signals to obtain the access satellite of the terminal, and perform downlink synchronization with the access satellite.

[0072] In combination with some embodiments of the first aspect, in some embodiments, the first information is newly added system information, or existing system information is reused.

[0073] In combination with some embodiments of the first aspect, in some embodiments, the first information is broadcast.

[0074] In a second aspect, an embodiment of the present disclosure provides an access method, which is performed by an access network device. The method includes:

[0075] Sending first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0076] receiving a random access request sent by the terminal based on second information, wherein the second information is determined by the AI ​​model.

[0077] In conjunction with some embodiments of the second aspect, in some embodiments, the first information further includes at least one of the following information:

[0078] Master Information Block MIB;

[0079] Access threshold information;

[0080] Ephemeris information.

[0081] In the above embodiment,

[0082] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​model set includes at least one of the following models:

[0083] Spatial transmission channel model;

[0084] Channel state information CSI model;

[0085] Beam management model.

[0086] In conjunction with some embodiments of the second aspect, in some embodiments, the second information includes at least one of the following information:

[0087] Spatial transmission channel parameters;

[0088] Doppler shift;

[0089] Timing advance TA.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, before sending the first information, the method further includes:

[0091] Perform downlink synchronization with the terminal.

[0092] In combination with some embodiments of the second aspect, in some embodiments, the first information is newly added system information, or existing system information is reused.

[0093] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0094] The first information is broadcasted to the terminal.

[0095] In conjunction with some embodiments of the second aspect, in some embodiments, before sending the first information, the method further includes:

[0096] Receive the AI ​​model sent by the core network device.

[0097] In a third aspect, an embodiment of the present disclosure provides an access method, which is performed by a core network device. The method includes:

[0098] Train the AI ​​model and send the trained AI model to the access network device.

[0099] In a fourth aspect, an embodiment of the present disclosure provides a terminal, comprising:

[0100] A receiving module, configured to receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0101] A processing module is used to obtain second information according to the AI ​​model, and send a random access request to the access network device for random access based on the second information.

[0102] In a fifth aspect, an embodiment of the present disclosure provides an access network device, the access network device comprising:

[0103] A sending module, configured to send first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model;

[0104] A receiving module is used to receive a random access request sent by the terminal based on second information, wherein the second information is determined by the AI ​​model.

[0105] In a sixth aspect, an embodiment of the present disclosure provides a core network device, the core network device including:

[0106] The processing module is used to train the AI ​​model and send the trained AI model to the access network device.

[0107] In a seventh aspect, an embodiment of the present disclosure provides a communication device, including:

[0108] one or more processors;

[0109] The processor is used to call instructions to enable the communication device to execute the access method described in any one of the first aspect, the second aspect and the third aspect.

[0110] In the eighth aspect, an embodiment of the present disclosure proposes a communication system, comprising: a terminal, an access network device and a core network device, wherein the terminal is configured to implement the access method described in the first aspect, the access network device is configured to implement the access method described in the second aspect, and the core network device is configured to implement the access method described in the third aspect.

[0111] In the ninth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the access method as described in any one of the first aspect, the second aspect, or the third aspect.

[0112] In a tenth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first aspect, the second aspect and the third aspect.

[0113] In an eleventh aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first, second and third aspects.

[0114] In a twelfth aspect, an embodiment of the present disclosure provides a chip or a chip system, which includes processing power and is configured to execute the method described in the optional implementation of the first, second, and third aspects above.

[0115] It is understandable that the above-mentioned terminals, access network devices, core network devices, communication systems, communication devices, storage media, program products, computer programs, chips, or chip systems are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0116] The embodiments of the present disclosure provide access methods, terminals, access network devices, and storage media. In some embodiments, the terms access method, information processing method, communication method, etc. can be used interchangeably.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0122] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0131] 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.

[0132] 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.

[0133] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0134] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0135] 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.

[0136] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0137] As shown in FIG1 , a communication system 100 includes a terminal 101 and a core network device 102 .

[0138] 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.

[0139] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0140] In some embodiments, the access network device 102 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 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.

[0141] 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.

[0142] 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.

[0143] 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).

[0144] 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.

[0145] 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.

[0146] 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).

[0147] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in multiple fields. The continued development of fields such as intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also seen widespread application in education, transportation, home living, healthcare, retail, security, and other fields. This has not only brought convenience to people's lives but also promoted industrial upgrading across various industries. AI technology is also rapidly interpenetrating with other disciplines. Its development integrates knowledge from different disciplines while also providing new directions and methods for their development. The research focuses on how to introduce AI technology into wireless air interfaces and how AI technology can assist in improving wireless air interface transmission technologies. In wireless AI research, application cases of AI include AI-based CSI enhancement, AI-based beam management, and AI-based positioning.

[0148] In order to train the AI ​​model, a large amount of measurement data needs to be collected. This measurement data needs to be measured by the terminal device, processed and then transmitted to the network device for AI model training.

[0149] Figure 2 is an interactive diagram of an access method according to an embodiment of the present disclosure. As shown in Figure 2, the embodiment of the present disclosure relates to an access method, which includes:

[0150] In step S2101, the terminal searches for satellite signals to obtain the terminal's access network device.

[0151] In some implementations, in a non-terrestrial network (NTN) scenario, the access network device may be an access satellite, or one or more satellites for terminal access.

[0152] In some implementations, the access network device of the terminal may be an access satellite determined based on a satellite signal.

[0153] In some implementations, the access satellite is a satellite that the terminal can access. Optionally, the types of the access satellite may include, but are not limited to, low earth orbit satellites (LEO), medium earth orbit satellites (MEO), geosynchronous equatorial orbit satellites (GEO), communication satellites, meteorological satellites, remote sensing satellites, and navigation satellites.

[0154] In some implementations, a terminal can search for multiple satellite signals and determine an access satellite based on the satellite signal strength. For example, a first threshold can be set, and the satellite corresponding to the satellite signal strength exceeding the first threshold can be selected as the access satellite; or the satellite with the highest satellite signal strength can be selected as the access satellite.

[0155] In some implementations, after acquiring an access satellite, the terminal performs downlink synchronization with the access satellite.

[0156] In some implementations, the terminal matches its own signal with the satellite signal. Optionally, if the match is successful, the terminal performs downlink synchronization with the access satellite. For example, if the terminal has a pre-stored sequence, and the sequence returned by the satellite matches the terminal's own sequence, the terminal performs downlink synchronization with the access satellite.

[0157] In some implementations, if the terminal's own signal does not match the current satellite signal, the terminal searches for the next satellite signal until a match is found, at which point the terminal synchronizes downlink with the access satellite. For example, if the sequence fed back by the satellite does not match the terminal's own sequence, the terminal does not synchronize with the access satellite and searches for the next access satellite.

[0158] In step S2102, the core network device sends the trained AI model to the access network device.

[0159] In some implementations, the AI ​​model can be trained in a core network device. Optionally, the core network device is used to train the AI ​​model.

[0160] In some implementations, core network equipment can train an AI model based on historical satellite data from successful accesses. Optionally, information about access network devices with successful accesses can be recorded, such as the device's ephemeris information and the terminal's state information at the time of access. Furthermore, this access network device information can be mapped to the configuration used by the terminal during successful access, such as spatial transmission channel parameters, Doppler shift, and TA. The AI ​​model is trained using the ephemeris information of the device and the terminal's state information. The predicted output is compared with the actual output until the error between the AI ​​model's predicted and actual output is less than a preset value, resulting in a trained AI model. This trained AI model can make predictions based on the information input to the AI ​​model, thereby obtaining information such as spatial transmission channel parameters, Doppler shift, and TA, which can then be used for random access. The information input to the AI ​​model can include, for example, ephemeris information, access threshold information, the desired AI model type, and the terminal's state information. The information output by the AI ​​model can include, for example, parameters related to random access predicted by the AI ​​model based on the input information.

[0161] In some implementations, after the AI ​​model is trained on the core network device, the core network device sends the trained AI model to the access network device. Optionally, the access network device receives the AI ​​model sent by the core network device.

[0162] Step S2103: The access network device sends first information to the terminal.

[0163] In some implementations, the first information includes an AI model set, which includes at least one trained AI model. Optionally, the terminal receives the trained AI model. Optionally, the AI ​​model can be trained on a core network device or in the cloud. After AI model training is completed, the core network device or the cloud sends the trained AI model to the access network device, which then sends the trained AI model to the terminal.

[0164] In some implementations, the AI ​​model set includes at least one of: a spatial transmission channel model, a channel state information (CSI) model, and a beam management model.

[0165] In some implementations, the AI ​​model is used to predict spatial transmission information.

[0166] In some implementations, different access network devices correspond to different AI models. Optionally, the access network device can be a communications satellite, a meteorological satellite, a remote sensing satellite, or a navigation satellite, and different satellite information corresponds to different AI models. For example, different satellite types may correspond to different AI models, or satellites of the same type may correspond to different AI models depending on their orbits and altitudes. Optionally, the access network device sends its corresponding AI model to the terminal. Optionally, the terminal can receive the AI ​​model sent by the access network device.

[0167] In some implementations, the first information may be newly added system information, that is, the access network device may construct new system information and send the AI ​​model set to the terminal through the newly added system information.

[0168] In some implementations, the first information can reuse existing system information, that is, the access network device can send the AI ​​model set to the terminal through the existing system information, thereby saving signaling.

[0169] In some implementations, the first information may be broadcasted by the access network device, and optionally, each terminal connected to the access network device may receive the first information. Of course, it is also possible to send the first information via unicast or other means.

[0170] In some implementations, the first information may include at least one of a master information block (MIB), access threshold information, and ephemeris information.

[0171] In some implementations, the master information block (MIB) may include a public land mobile network (PLMN) identifier and scheduling information of a schedule block (SB) / system information block (SIB).

[0172] In some implementations, the master information block (MIB) may reflect relevant information of the access network device, to assist in determining whether the access network device at this time is a correct satellite.

[0173] In some implementations, access threshold information is used to filter or limit signal strength to determine whether the signal strength of the current access network device meets the conditions for access communication. For example, the access threshold information may include signal strength information or area range information. Optionally, when the signal strength meets the access threshold, the corresponding signal is received.

[0174] In some implementations, ephemeris information is satellite-related motion trajectory information, used to reflect the motion information of the current access network device, to facilitate prediction of subsequent parameter information and improve the success rate of terminal access to the access network device. Optionally, ephemeris information can include information such as the satellite's motion trajectory, motion speed, or motion direction.

[0175] In some implementations, the access network device may be a satellite. Optionally, the satellite sends its own ephemeris information to the terminal.

[0176] In some implementations, the naming of the first information is not limited. For example, the first information can be "AI model information", "request for obtaining AI model information", or "indication information of the AI ​​model", etc.

[0177] Step S2104: The terminal obtains third information.

[0178] In some implementations, the third information is used to instruct the terminal to obtain its own information and satellite information.

[0179] In some implementations, the third information is used to request the terminal to obtain its own information and satellite information.

[0180] In some implementations, the third information may include status information of the terminal.

[0181] In some implementations, the third information may include received ephemeris information.

[0182] In some implementations, the terminal's status information may include, but is not limited to: an elevation angle between the terminal and an access satellite, a movement direction of the terminal, and a movement speed of the terminal.

[0183] In some implementations, the naming of the third information is not limited. For example, the third information can be "self-information and satellite information", "request for obtaining self-information and satellite information", or "indication information of self-information and satellite information".

[0184] Step S2105: The terminal obtains the second information based on the AI ​​model and the third information.

[0185] In some implementations, the terminal inputs the third information into a trained AI model to obtain the second information. Optionally, the AI ​​model outputs the second information. Optionally, the terminal's status information and ephemeris information are input into the AI ​​model for prediction to obtain the second information.

[0186] In some implementations, the second information may include, but is not limited to: spatial transmission channel parameters, Doppler shift, and timing advance (TA).

[0187] In some implementations, the naming of the second information is not limited. For example, the second information can be "prediction parameter information", "model output information", or "spatial transmission channel parameter information", "Doppler frequency shift information" and "timing advance information", etc.

[0188] In some implementations, the terminal inputs its own status information and the ephemeris information sent by the access network device into a trained AI model, and the AI ​​model outputs the second information.

[0189] Step S2106: The terminal sends a random access request to the access network device according to the second information to perform random access.

[0190] In some implementations, the random access request is used to request an access network device to perform random access with a terminal.

[0191] In some implementations, the access network device may have a visibility window period. Optionally, the terminal initiates a random access request within the visibility window period of the access network device.

[0192] In some implementations, the terminal performs random access with the access network device and then performs data transmission. Optionally, the terminal performs data transmission with the access network device according to the second information.

[0193] 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.

[0194] In some embodiments, terms such as "synchronization signal (SS)", "synchronization signal block (SSB)", "reference signal (RS)", "pilot", and "pilot signal" can be used interchangeably.

[0195] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0196] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0197] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0198] 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.

[0199] In some embodiments, 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 or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0200] The access method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2106. For example, step S2103 may be implemented as an independent embodiment, step S2105 may be implemented as an independent embodiment, steps S2103+S2105 may be implemented as an independent embodiment, and steps S2103+S2104+S2105+S2106 may be implemented as independent embodiments, but are not limited thereto.

[0201] In some embodiments, steps S2101, S2104, and S2106 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0202] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0203] FIG3A is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to an access method that can be executed by a terminal device. The method includes:

[0204] Step S3101, obtain access network equipment.

[0205] Step S3102, receiving first information.

[0206] Step S3103, obtain third information.

[0207] Step S3104, obtaining the second information.

[0208] Step S3105: Send a random access request to perform random access.

[0209] The optional implementation of steps S3101 to S3105 can be found in the optional implementation of step S2101, steps S2103 to S2106 in FIG2 , and other related parts in the embodiment involved in FIG2 , which will not be repeated here.

[0210] The access method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3105. For example, step S3102 may be implemented as an independent embodiment, step S3104 may be implemented as an independent embodiment, steps S3102+S3104 may be implemented as an independent embodiment, and steps S3102+S3103+S3104+S3105 may be implemented as independent embodiments, but the present invention is not limited thereto.

[0211] In some embodiments, the execution order of steps S3101 to S3105 is an example. In other embodiments, the execution order of the above steps can be exchanged or executed simultaneously.

[0212] In some embodiments, steps S3101, S3103, and S3105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0213] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0214] FIG3B is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to an access method that can be executed by a terminal device, and the method includes:

[0215] Step S3201, receiving first information.

[0216] Step S3202: Acquire second information and send a data access request for random access.

[0217] The optional implementation methods of steps S3201-S3202 can be found in steps S2103, S2105 and S2106 of Figure 2, the optional implementation methods of steps S3102, S3104 and S3105 of Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0218] The access method involved in the embodiment of the present disclosure may include at least one of steps S3201 and S3202. Step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, and steps S3201+S3202 may be implemented as independent embodiments, but are not limited thereto.

[0219] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0220] FIG4A is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to an access method that can be executed by an access network device. The method includes:

[0221] Step S4101, receiving the trained AI model.

[0222] Step S4102, sending the first information.

[0223] Step S4103: Receive a random access request and perform random access.

[0224] Optional implementations of steps S4101 to S4103 can be found in the optional implementations of steps S2102, S2103 and S2106 in FIG2 , and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0225] The access method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4103. For example, step S4102 may be implemented as an independent embodiment, step S4103 may be implemented as an independent embodiment, and step S4102 + step S4103 may be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0226] In some implementations, step S4101 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0227] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0228] FIG4B is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG4B , the embodiment of the present disclosure relates to an access method that can be executed by an access network device. The method includes:

[0229] Step S4201, sending the first information.

[0230] Step S4202: Receive a random access request and perform random access.

[0231] Optional implementations of steps S4201 and S4202 can be found in the optional implementations of steps S2103 and S2106 in FIG2 , and other related parts in the embodiment involved in FIG2 , which will not be described in detail here.

[0232] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0233] FIG5A is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG5A , the embodiment of the present disclosure relates to an access method that can be executed by a core network device. The method includes:

[0234] Step S5101, send the trained AI model.

[0235] The optional implementation of step S5101 can refer to the optional implementation of step S2102 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

[0236] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0237] FIG6 is a flow chart of an access method according to an embodiment of the present disclosure. As shown in FIG6 , the embodiment of the present disclosure relates to an access method, which includes:

[0238] Step S6101: train the AI ​​model.

[0239] According to the characteristics of non-terrestrial networks (NTN) (LEO, MEO, GEO, etc.), an AI model of the spatial transmission channel of the NTN network is trained.

[0240] Step S6102: broadcast the trained AI model.

[0241] Newly added system information SI broadcast NTN network supported trained AI models (AI models include: spatial transmission channel model, CSI model, beam management model, etc.)

[0242] Step S6103: The terminal obtains access network equipment and performs downlink synchronization.

[0243] After the terminal UE searches for and accesses the satellite NTN network satellite (such as a LEO satellite) and performs downlink synchronization, it can receive the AI ​​model trained by the network in S6102.

[0244] In step S6104, the terminal obtains the third information, and obtains the second information based on the third information and the AI ​​model.

[0245] After receiving the necessary system information, that is, the third information (MIB, access threshold information, ephemeris information, AI model provided by the network, etc.), and combining the terminal UE's own status (elevation angle between the satellite, movement direction, movement speed, etc.), the second information such as spatial transmission channel parameters, Doppler frequency shift, TA, etc. can be predicted.

[0246] Step S6105: The terminal sends a random access request to the access network device according to the second information.

[0247] Random access and data transmission are performed based on the second information, thereby improving the access success rate and reducing the signaling and data retransmission rate.

[0248] The access method involved in the embodiments of the present disclosure may include at least one of steps S6101 to S6105. For example, step S6102 may be implemented as an independent embodiment, step S6105 may be implemented as an independent embodiment, steps S6102+S6105 may be implemented as independent embodiments, and steps S6102+S6103+S6105 may be implemented as independent embodiments, but are not limited thereto.

[0249] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0250] 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.

[0251] 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.

[0252] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0253] Figure 7A is a structural diagram of the terminal proposed in an embodiment of the present disclosure. As shown in Figure 7A, the terminal 7100 may include: at least one of a receiving module 7101, a processing module 7102, etc. In some embodiments, the above-mentioned receiving module is used to receive the first information sent by the access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; the processing module is used to obtain the second information according to the AI ​​model, and send a random access request to the access network device for random access based on the second information. Optionally, the above-mentioned receiving module is used to execute at least one of the communication steps such as receiving performed by the terminal 101 in any of the above methods, which will not be repeated here. Optionally, the above-mentioned processing module is used to execute at least one of the other steps performed by the terminal 101 in any of the above methods, which will not be repeated here.

[0254] Figure 7B is a structural diagram of the access network device proposed in an embodiment of the present disclosure. As shown in Figure 7B, the access network device 7200 may include: at least one of a sending module 7201, a receiving module 7202, etc. In some embodiments, the sending module is used to send first information to the terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; the receiving module is used to receive a random access request sent by the terminal based on the second information, wherein the second information is determined by the AI ​​model. Optionally, the sending module is used to execute at least one of the sending communication steps executed by the access network device 102 in any of the above methods, which will not be repeated here. Optionally, the receiving module is used to execute at least one of the receiving communication steps executed by the above access network device 102, which will not be repeated here.

[0255] Figure 7C is a schematic diagram of the core network device structure proposed in an embodiment of the present disclosure. As shown in Figure 7C, core network device 7300 may include a processing module 7301. In some embodiments, the processing module is used to train an AI model and send the trained AI model to the access network device. Optionally, the processing module is used to execute at least one of the other steps performed by core network device 103 in any of the above methods, which will not be repeated here.

[0256] 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.

[0257] 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.

[0258] 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.

[0259] 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.

[0260] 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, and the processor 8101 performs at least one of the other steps.

[0261] 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.

[0262] 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.

[0263] The communication device 8100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0264] 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.

[0265] The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

[0266] In some embodiments, chip 8200 further includes one or more interface circuits 8202. Optionally, interface circuit 8202 is connected to memory 8203. Interface circuit 8202 can be used to receive signals from memory 8203 or other devices, or to send signals to memory 8203 or other devices. For example, interface circuit 8202 can read instructions stored in memory 8203 and send the instructions to processor 8201.

[0267] 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, and the processor 8201 performs at least one of the other steps.

[0268] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0269] 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.

[0270] 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.

[0271] 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.

[0272] 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. An access method, characterized in that: Executed by a terminal, the method includes: Receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; Acquire second information according to the AI ​​model in the first information; and send a random access request to the access network device for random access based on the second information.

2. The method according to claim 1, characterized in that The first information also includes at least one of the following information: Master Information Block MIB; Access threshold information; Ephemeris information.

3. The method according to claim 1, characterized in that The AI ​​model set includes at least one of the following models: Spatial transmission channel model; Channel state information CSI model; Beam management model.

4. The method according to claim 2, characterized in that The acquiring second information according to the AI ​​model in the first information includes: Determining status information of the terminal; The state information and the ephemeris information are input into the AI ​​model for prediction, thereby obtaining the second information.

5. The method according to claim 4, characterized in that The status information includes at least one of the following information: The elevation angle between the terminal and the access satellite; The movement direction of the terminal; The movement speed of the terminal.

6. The method according to claim 4, characterized in that The second information includes at least one of the following information: Spatial transmission channel parameters; Doppler shift; Timing advance TA.

7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: An access satellite of the terminal is determined to perform downlink synchronization with the access satellite.

8. An access method, characterized in that: The method is performed by an access network device and includes: Sending first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; A random access request is received, which is sent by the terminal based on second information, wherein the second information is determined by the AI ​​model in the first information.

9. The method according to claim 8, characterized in that The first information also includes at least one of the following information: Master Information Block MIB; Access threshold information; Ephemeris information.

10. The method according to claim 8, characterized in that The AI ​​model set includes at least one of the following models: Spatial transmission channel model; Channel state information CSI model; Beam management model.

11. The method according to claim 8, characterized in that The second information includes at least one of the following information: Spatial transmission channel parameters; Doppler shift; Timing advance TA.

12. The method according to any one of claims 8 to 11, characterized in that The method further comprises: Perform downlink synchronization with the terminal.

13. The method according to any one of claims 8 to 10, characterized in that: Before sending the first information, the method further includes: Receive the AI ​​model sent by the core network device.

14. An access method, characterized in that: The method is performed by a core network device and includes: Train the AI ​​model and send the trained AI model to the access network device.

15. A terminal, characterized in that: The terminal comprises: A receiving module, configured to receive first information sent by an access network device, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; A processing module is used to obtain second information according to the AI ​​model in the first information; and send a random access request to the access network device for random access based on the second information.

16. An access network device, characterized in that: The access network equipment includes: A sending module, configured to send first information to a terminal, wherein the first information includes an AI model set, and the AI ​​model set includes at least one trained AI model; A receiving module is used to receive a random access request sent by the terminal based on second information, wherein the second information is determined by the AI ​​model.

17. A core network device, characterized in that: The core network equipment includes: The processing module is used to train the AI ​​model and send the trained AI model to the access network device.

18. A communication device, characterized in that: include: one or more processors; The processor is used to call instructions so that the communication device executes the access method as described in any one of claims 1-7, 8-13, and 14.

19. A communication system, characterized in that: include: A terminal, an access network device and a core network device, wherein the terminal is configured to implement the access method described in any one of claims 1 to 7, the access network device is configured to implement the access method described in any one of claims 8 to 13, and the core network device is configured to implement the access method described in claim 14.

20. A storage medium storing instructions, characterized in that: When the instruction is executed on the communication device, the communication device is enabled to execute the access method according to any one of claims 1-7 or 8-13 or 14.

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