System message air interface transmission method and device

Abstract

The application discloses a system message air interface transmission method, comprising the following steps: determining first indication information, wherein the first indication information is used for indicating whether the network side device has an AI / ML function; and broadcasting a system message, wherein the system message comprises the first indication information. The application also comprises a network side device, a terminal side device, a memory, a processor and a wireless communication system for implementing the method. The application solves the technical problem of blind access of a terminal device, and is especially suitable for a wireless communication scene in which a terminal device supports an AI / ML function.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to a method and apparatus for transmitting system messages over the air interface. Background Technology

[0002] When a user terminal (UE) accesses a mobile communication network, it first needs to receive the cell synchronization signal block (SSB). Through the SSB, it obtains downlink synchronization and receives system information (SI). After obtaining the cell configuration through the system information, it initiates a random access procedure. Through random access, it obtains uplink synchronization and a temporary radio network identifier (RNTI) for communication. After establishing a radio link with the base station (gNB), the terminal needs to report its UE capability information. Upon receiving the terminal's capability information, the base station issues corresponding air interface configuration signaling based on the terminal's capabilities. Upon receiving this signaling, the terminal initiates wireless communication with the base station according to the air interface configuration.

[0003] In recent years, with the rapid development of artificial intelligence / machine learning (AI / ML) technologies, leveraging AI / ML to improve 5G network performance is a crucial component in achieving the integration of 5G and AI / ML technologies and building 5G-Advanced intelligent networks. The 3GPP standards organization initiated standard research for intelligent radio access networks (RANs) starting with Rel-16, and in Rel-18, it initiated a project on AI / ML-based 5G air interface enhancement, thus beginning international standardization work on the integration of 5G air interface and AI / ML. With the further deep integration of 5G-A / 6G mobile communication technologies and AI / ML technologies, more and more wireless devices will apply AI / ML technologies to improve Quality of Service (QoS) and optimize network performance and energy consumption.

[0004] Since terminal devices that support AI / ML functions are unaware of the base station's AI / ML capabilities when accessing the base station, when the base station does not support AI / ML functions, terminals blindly access and switch, reducing system communication efficiency. Summary of the Invention

[0005] This application proposes a system message air interface transmission method and device to solve the technical problem of blind access by terminal devices, and is particularly suitable for wireless communication scenarios where terminal devices support AI / ML functions.

[0006] In a first aspect, embodiments of this application propose a system message air interface transmission method for network-side devices, comprising the following steps:

[0007] Determine first indication information, which is used to indicate whether the network-side device has / does not have AI / ML functions; broadcast a system message, which includes the first indication information.

[0008] In one embodiment, the method further includes the steps of: determining second indication information, the second indication information being used to indicate AI / ML functions supported by the network-side device; and broadcasting a system message containing the second indication information.

[0009] In one embodiment, the method further includes the step of: in response to determining that the AI / ML function of the terminal-side device includes an AI / ML function indicated by second indication information, allocating resources required for the AI / ML function.

[0010] Secondly, embodiments of this application propose a system message air interface transmission method for a terminal-side device, comprising the following steps:

[0011] Receive a system message containing the first indication information;

[0012] In response to the first indication information indicating whether the network-side device has AI / ML functionality, determine whether to access, not access, reside in, or not reside in the cell of the network-side device.

[0013] In one embodiment, the method further includes the following steps: receiving a system message, determining second indication information, the second indication information being used to indicate AI / ML functions supported by the network-side device; and, in response to the AI / ML functions indicated by the second indication information, determining whether to access, not access, reside in, or not reside in the cell of the network-side device.

[0014] In one embodiment, the method further includes the following steps: in response to determining that the AI / ML function of the terminal-side device includes the AI / ML function indicated by the second indication information, reporting the AI / ML function indicated by the terminal-side device.

[0015] Thirdly, embodiments of this application also propose a network-side device for implementing the method described in any one of the embodiments of the first aspect of this application. At least one module in the network-side device is used to perform at least one of the following functions: determining first indication information and / or second indication information; broadcasting system messages, including the first indication information and / or the second indication information.

[0016] Fourthly, embodiments of this application also propose a terminal-side device for implementing the method described in any embodiment of the second aspect of this application. At least one module in the terminal-side device is used for at least one of the following functions: receiving system messages, including first indication information and / or second indication information; and determining the first indication information and / or the second indication information.

[0017] Fifthly, this application also proposes a communication device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method as described in any one of the embodiments of the first or second aspect of this application.

[0018] Sixthly, this application also proposes a computer-readable medium on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in any one of the embodiments of the first or second aspect of this application.

[0019] This application also proposes a mobile communication system comprising at least one network-side device as described in any embodiment of the third aspect of this application and / or at least one terminal-side device as described in any embodiment of the fourth aspect of this application.

[0020] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects:

[0021] This application proposes an air interface transmission method for system messages. This method enables AI / ML-enabled terminals to identify whether the current base station possesses AI / ML capabilities and the AI / ML functions supported by the current base station. This helps the terminal determine whether to continue accessing the cell during the access process, or helps terminals already connected to a cell determine whether to continue camping on that cell. This method effectively reduces the latency of cell selection for AI / ML-enabled terminals, avoiding waste of air interface resources during cell selection. Fast and efficient cell selection also increases the frequency of AI / ML technology enablement, effectively utilizing AI / ML technology to improve service quality and network performance. Attached Figure Description

[0022] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0023] Figure 1 This is a schematic diagram of UE capability information transmission.

[0024] Figure 2 This is a flowchart illustrating an embodiment of the method of this application used in a network-side device;

[0025] Figure 3 This is a flowchart illustrating an embodiment of the method of this application used in a terminal-side device;

[0026] Figure 4 This is a schematic diagram of an embodiment of a network-side device;

[0027] Figure 5This is a schematic diagram of an embodiment of the terminal-side device;

[0028] Figure 6 This is a schematic diagram of the structure of a network-side device according to another embodiment of the present invention;

[0029] Figure 7 This is a block diagram of a terminal-side device according to another embodiment of the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0031] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0032] Figure 1 This diagram illustrates the transmission of UE capability information. According to current standardization processes, terminals report their AI / ML function details by sending UE capability information to the base station. The specific process for UE capability transmission is as follows: Figure 1 As shown.

[0033] As AI / ML technologies are gradually integrated into mobile communications, the pace of terminal device upgrades is significantly faster than that of network-side equipment such as base stations due to the high economic and technical costs involved in network equipment upgrades. This leads to a transitional phenomenon: some advanced terminals with AI / ML capabilities may need to connect to base stations that have not yet deployed AI / ML technology, or there may be a mismatch between the terminal and the base station in supporting specific AI / ML functions. Consequently, even if a terminal has AI / ML capabilities, they cannot be effectively enabled or fully utilized in the network environment in these scenarios. Moreover, according to current 5G standards, terminals cannot know the specific capabilities of a base station in advance when accessing the network, including whether the base station has AI / ML processing capabilities and the specific AI / ML functions it supports. Terminals must determine which AI / ML functions are activated and used only after completing network access and receiving air interface configuration information provided by the base station. If a terminal with AI / ML capabilities wants to switch to a cell with AI / ML capabilities, it needs to search for cells again and complete a series of access steps, from receiving SSB to receiving system messages and initiating random access, which not only wastes a lot of valuable air interface resources but also significantly increases access / handover latency.

[0034] It should be noted that the following steps are used for network entities in a wireless communication system, including terminal-side devices, network-side devices, or other intermediate devices; the above steps can also be used for service devices that provide information processing for the network entity devices; the following steps can also be used for any device, system, subsystem, circuit, chip, or software entity that provides information reception, transmission, identification, and processing for terminal-side devices or network-side devices.

[0035] Figure 2 This is a flowchart illustrating an embodiment of the method of this application used in a network-side device.

[0036] In a first aspect, embodiments of this application propose a system message air interface transmission method for network-side devices, comprising the following steps 110-140:

[0037] Step 110: Determine the first indication information, which is used to indicate whether the network-side device has AI / ML functions.

[0038] The first indication information is generated based on whether the network-side equipment (or base station) has AI / ML capabilities.

[0039] Furthermore, the network-side device also determines second indication information, which indicates the AI / ML functions supported by the network-side device. If the base station indicates that it has AI / ML technology capabilities, the supported AI / ML functions are further determined, and the second indication information is generated.

[0040] Step 120: Broadcast a system message containing the first indication information.

[0041] The base station indicates in the system message whether it has AI / ML technology capabilities.

[0042] Preferably, the system includes the second indication information. The base station indicates in the system message whether it has AI / ML technology capabilities. If the base station indicates that it has AI / ML technology capabilities, it further indicates the AI / ML functions it supports.

[0043] The RRC IE (Information Element) carrying the system message can be an SIB signaling type already defined in the current standard, including SIB1 to SIB25, or a newly defined SIB signaling type.

[0044] Step 130: In response to the random access request from the terminal, generate a random access response.

[0045] In response to a random access request from the terminal, a connection is established with the terminal-side device.

[0046] In one embodiment, the random access request includes third indication information, which includes indication information on whether the terminal device supports AI / ML functions, and / or an index of the specific AI / ML functions supported by the terminal device.

[0047] The network-side device can respond to any terminal's random access request and establish a connection with that terminal device. Furthermore, the network-side device can determine whether to establish a connection with the terminal based on the third indication information in the random access request.

[0048] For example,

[0049] Before responding to a random access request, network-side devices that support AI / ML functions identify that the current terminal does not have AI / ML capabilities and determine not to respond to the random access request.

[0050] Before responding to a random access request, network-side devices that support AI / ML functions can identify whether the current terminal has AI / ML capabilities and determine whether to respond to the random access request.

[0051] Similarly, for example:

[0052] Before responding to a random access request, network-side devices that do not support AI / ML functions shall identify that the current terminal device does not have AI / ML capabilities and determine to respond to the random access request.

[0053] Before responding to a random access request, network-side devices that do not support AI / ML functions will identify whether the current terminal device has AI / ML capabilities and determine not to respond to the random access request.

[0054] Step 140: In response to determining the AI / ML function of the terminal device, allocate the resources required for the AI / ML function.

[0055] Preferably, in response to determining that the AI / ML function of the terminal-side device includes the AI / ML function indicated by the second indication information, the network-side device allocates the resources required for the AI / ML function. That is, for example, the gNB allocates resources according to the function after knowing the functions supported by the UE.

[0056] In one embodiment, third indication information is received from the terminal to determine the AI / ML functions of the terminal-side device. The third indication information includes knowledge information about the AI / ML functions supported by the accessed terminal device.

[0057] Different versions and types of terminal devices vary in their availability and specific supported AI / ML capabilities. Therefore, when these terminals access the network, the base station needs to understand the specific AI / ML capabilities of each terminal. Only in this way can the base station rationally configure and optimize resource scheduling based on the actual capabilities of each terminal.

[0058] It should be noted that, according to current standard procedures, the base station and the UE should have completed the air interface random access procedure before the UE sends capability information to the base station, and currently the base station will not reject a random access request based on the UE's capability. In this application, the base station informs the UE of its capabilities via broadcast system information before connection. Since the base station informs the UE before connection, in some embodiments, the terminal can also inform the gNB before connection, thus creating the possibility of bidirectional selection.

[0059] Figure 3 This is a flowchart illustrating an embodiment of the method of this application used in a terminal-side device. In a second aspect, this application provides a system message air interface transmission method for a terminal-side device, comprising the following steps: steps 210-240:

[0060] Step 210: Receive system messages and determine the first instruction information and / or the second instruction information.

[0061] The system message contains the first indication information and / or the second indication information.

[0062] The first indication information is used to indicate whether the network-side device has AI / ML functionality; the second indication information is used to indicate the AI / ML functionality supported by the network-side device.

[0063] Step 220: In response to the first indication information indicating whether the network-side device has / does not have AI / ML function, determine whether to access, not access, reside in, or not reside in the cell of the network-side device.

[0064] During the process of accessing a cell, the terminal receives system messages to identify whether the current base station has AI / ML capabilities or supports AI / ML functions, and then determines whether to continue accessing the cell.

[0065] For example,

[0066] Before initiating an access request, terminal devices that support AI / ML functions identify that the current base station does not have AI / ML capabilities and determine which cell they will not access.

[0067] Before initiating an access request, terminal devices that support AI / ML functions identify that the current base station has AI / ML capabilities and determine the cell to access from that base station;

[0068] Terminal devices that support AI / ML functions can identify that the base station they have already connected to does not have AI / ML capabilities and determine that they should not camp on the cell of that base station.

[0069] Terminal devices that support AI / ML functions can identify the AI / ML capabilities of the base stations they have already connected to and determine the cells that are camped on those base stations.

[0070] Similarly, for example:

[0071] Before initiating an access request, terminal devices that do not support AI / ML functions will identify that the current base station does not have AI / ML capabilities and determine the cell to access from that base station.

[0072] Before initiating an access request, terminal devices that do not support AI / ML functions should identify whether the current base station has AI / ML capabilities and determine which cell they will not access.

[0073] Terminal devices that do not support AI / ML functions can identify the cell where they are camped by a base station that they have already connected to, as the base station does not have AI / ML capabilities.

[0074] Terminal devices that do not support AI / ML functions can identify cells that have been connected to a base station and determine that they will not camp on that base station.

[0075] In step 220, the terminal device determines whether the network-side device supports AI / ML functions through the indication information, and further selects a cell with matching functions.

[0076] Step 230: In response to the AI / ML function indicated by the second indication information, determine whether the cell should be accessed, not accessed, or resided in the network-side device.

[0077] Terminals not yet connected to a cell can receive system messages to determine whether the AI / ML functions supported by the current base station have been updated, and decide whether to send an access request to that cell. Alternatively, terminals already connected to a cell can receive system messages to determine whether the AI / ML functions supported by the current base station have been updated, and decide whether to continue camping on that cell.

[0078] For example,

[0079] Before initiating an access request, terminal devices that support AI / ML functions identify the AI / ML functions supported by the current base station. If the AI / ML functions supported by the base station are inconsistent with the AI / ML functions supported by the terminal device, it is determined not to access the cell of that base station.

[0080] Before initiating an access request, terminal devices that support AI / ML functions identify the AI / ML functions supported by the current base station. If the AI / ML functions supported by the base station are consistent with the AI / ML functions supported by the terminal device, the cell to which the terminal device should be accessed is determined.

[0081] Terminal devices that support AI / ML functions can identify the AI / ML functions supported by the base stations they have already accessed. If the AI / ML functions supported by the base station are inconsistent with the AI / ML functions supported by the terminal device, it is determined that the terminal device will not camp on the cell of that base station.

[0082] Terminal devices that support AI / ML functions can identify the AI / ML functions supported by the base stations they have accessed. When the AI / ML functions supported by the base station are consistent with those supported by the terminal device, the cell to which the terminal device is camped is determined.

[0083] In step 230, the terminal device determines the AI / ML functions supported by the network device through the indication information, and further selects a cell that matches the function.

[0084] Step 240: Report the AI / ML functions of the terminal device.

[0085] Terminal devices report the supported AI / ML functions through third-party instruction information.

[0086] In one embodiment, the terminal device reports whether it supports AI / ML functions, or an index of supported AI / ML functions, during the random access request process, using third indication information. In another embodiment, after completing access, the terminal device reports whether it supports AI / ML functions, or an index of supported AI / ML functions, in the uplink signaling using third indication information.

[0087] Preferably, in response to determining that the AI / ML function of the terminal-side device includes the AI / ML function indicated by the second indication information, the AI / ML function indicated by the terminal-side device is reported. That is, the UE knows that it also supports the functions supported by the gNB and reports this to the gNB.

[0088] After the terminal device reports its AI / ML function, the base station can determine whether to satisfy the terminal device's access request. For example, it may respond to or not respond to the terminal device's random access request, as described in step 130 of the embodiment, which will not be repeated here.

[0089] Figure 4 This is a schematic diagram of an embodiment of a network-side device.

[0090] This application also proposes a network-side device for implementing the method described in any embodiment of the first aspect of this application. At least one module in the network-side device is configured to perform at least one of the following functions: determining first indication information and / or second indication information; broadcasting system messages, including the first indication information and / or the second indication information; and receiving random access requests, including third indication information.

[0091] To implement the above technical solution, this application proposes a network-side device 400, which includes a network transmitting module 401, a network determining module 402, and a network receiving module 403 that are interconnected.

[0092] The network sending module is used to send system messages.

[0093] The network determination module is used to determine the first indication information and / or the second indication information, and in one embodiment, it is also used to determine the third indication information.

[0094] The network receiving module is used to receive random access requests.

[0095] The specific methods for implementing the functions of the network sending module, network determining module, and network receiving module are as described in the various method embodiments of this application, and will not be repeated here.

[0096] The network-side equipment described in this application may refer to base station facilities, network-side equipment or servers connected to base stations, systems that provide services for the aforementioned equipment, or any system, subsystem, module, circuit, chip or software operating device that provides information reception, transmission, identification and processing for the aforementioned equipment.

[0097] Figure 5 This is a schematic diagram of an embodiment of the terminal-side device.

[0098] This application also proposes a terminal-side device for implementing the method described in any embodiment of the second aspect of this application. At least one module in the terminal-side device is used for at least one of the following functions: receiving system messages, including first indication information and / or second indication information; determining the first indication information and / or second indication information; and sending a random access request, including third indication information.

[0099] To implement the above technical solution, this application proposes a terminal-side device 500, which includes a terminal transmitting module 501, a terminal determining module 502, and a terminal receiving module 503 that are interconnected.

[0100] The terminal receiving module is used to receive system messages.

[0101] The terminal determination module is used to determine first indication information and / or second indication information, and further, to determine whether to access, not access, camp, or not camp in the current cell. In one embodiment, it is also used to determine third indication information.

[0102] The terminal sending module is used to send random access requests or uplink signaling.

[0103] The specific methods for implementing the functions of the terminal sending module, the terminal determining module, and the terminal receiving module are as described in the various method embodiments of this application, and will not be repeated here.

[0104] The terminal-side equipment described in this application may refer to user equipment (UE), personal mobile terminal, smart terminal, mobile phone, computer with communication function, system that provides services for the above-mentioned equipment, or any system, subsystem, module, circuit, chip or software running device that provides information reception, transmission, identification and processing for the above-mentioned equipment.

[0105] Figure 6 A schematic diagram of a network-side device according to another embodiment of the present invention is shown. As shown, the network-side device 600 includes a processor 601, a wireless interface 602, and a memory 603. The wireless interface may consist of multiple components, including a transmitter and a receiver, providing a unit for communication with various other devices over a transmission medium. The wireless interface implements communication functions with the terminal-side device, processes wireless signals through receiving and transmitting devices, and the data carried by the signals is communicated with the memory or processor via an internal bus structure. The memory 603 contains a computer program that executes any embodiment of this application, and the computer program runs or modifies the processor 601. When the memory, processor, and wireless interface circuit are connected through a bus system, the bus system includes a data bus, a power bus, a control bus, and a status signal bus, which will not be described in detail here.

[0106] Figure 7 This is a block diagram of a terminal-side device according to another embodiment of the present invention. The terminal-side device 700 includes at least one processor 701, a memory 702, a user interface 703, and at least one network interface 704. The various components in the terminal-side device 700 are coupled together via a bus system. The bus system is used to implement communication between these components. The bus system includes a data bus, a power bus, a control bus, and a status signal bus.

[0107] User interface 703 may include a display, keyboard, or clicking device, such as a mouse, trackball, touchpad, or touchscreen.

[0108] The memory 702 stores executable modules or data structures. The memory may store an operating system and application programs. The operating system includes various system programs, such as a framework layer, core library layer, and driver layer, used to implement various basic business functions and handle hardware-based tasks. The application programs include various applications, such as media players and browsers, used to implement various application functions.

[0109] In an embodiment of the present invention, the memory 702 contains a computer program that executes any embodiment of the present application, the computer program being run on or modified by the processor 701.

[0110] The memory 702 includes a computer-readable storage medium. The processor 701 reads the information in the memory 702 and, in conjunction with its hardware, completes the steps of the above-described method. Specifically, the computer-readable storage medium stores a computer program, which, when executed by the processor 701, implements the steps of the method embodiments described in any of the above embodiments.

[0111] The processor 701 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the method in this application can be completed by the integrated logic circuitry in the hardware of the processor 701 or by instructions in software form. The processor 701 may be a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor.

[0112] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. In a typical configuration, the device of this application includes one or more processors (CPUs), an input / output user interface, a network interface, and memory.

[0113] Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] Therefore, this application also proposes a computer-readable medium storing a computer program that, when executed by a processor, implements the steps of the method described in any embodiment of this application. For example, the memory 603, 702 of the present invention may include non-permanent memory in the form of computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM.

[0115] Based on the embodiments of the above-described apparatus in this application, this application also proposes a mobile communication system, including at least one embodiment of any terminal-side device in this application and / or at least one embodiment of any network-side device in this application.

[0116] It should be noted that the specific mobile communication technology described in this invention is not limited, and can be WCDMA, CDMA2000, TD-SCDMA, WiMAX, LTE / LTE-A, LAA, MuLTEfire, and subsequent fifth-generation, sixth-generation, and Nth-generation mobile communication technologies.

[0117] The terminal described in this invention refers to a terminal-side product that can support the communication protocols of terrestrial mobile communication systems, and a specially designed wireless modem module that can be integrated into various types of terminal forms such as mobile phones, tablets, and data cards to complete communication functions.

[0118] For ease of description, the fourth-generation mobile communication system LTE / LTE-A and its derivative MulteFire are used as examples, where the mobile communication terminal can be represented as UE (User Equipment), and the network-side access equipment can be represented as a base station or access point.

[0119] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0120] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be understood that when a device or component is “connected” to another device or component, it may be directly connected to the other device or component, or there may be an intermediary device or component. Furthermore, the term “connection” as used herein may include partially wireless connections as well as partially wired connections.

[0121] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, in the description of this application, unless otherwise stated, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The character " / " indicates that the preceding and following related objects are in an "or" relationship.

[0122] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the scope of the claims of this application.

Claims

1. A method for transmitting system messages over the air interface, used in network-side equipment, characterized in that, The method comprises the following steps: determining first indication information, the first indication information being used to indicate whether the network side device has AI / ML function or not; broadcasting a system message, wherein the first indication information is contained, so that the terminal side device can determine whether to access or camp on the cell of the network side device according to the first indication information; receiving a random access request from the terminal, the random access request containing third indication information indicating AI / ML capability of the terminal; determining whether to establish connection with the terminal side device in response to the third indication information.

2. The method of claim 1, wherein the system information is transmitted in a plurality of system information blocks (SIBs). The method further comprises the following steps: determining second indication information, the second indication information being used to indicate AI / ML function supported by the network side device; broadcasting a system message, wherein the second indication information is contained.

3. The method of claim 1, wherein the system information is transmitted in a broadcast channel. allocating resources required by the AI / ML function in response to determining that the AI / ML function of the terminal side device contains the AI / ML function indicated by the second indication information. ​ 4. A method for transmitting system information over an air interface, the method being performed by a terminal-side device, the method comprising: The method comprises the following steps: receiving a system message, wherein the first indication information is contained; determining whether to access, not to access, camp on or not to camp on the cell of the network side device in response to the AI / ML function of the network side device indicated by the first indication information; sending a random access request, the random access request containing third indication information indicating AI / ML capability of the terminal, so that the network device determines whether to establish connection with the terminal side device.

5. The method of claim 4, wherein the system information is transmitted in a plurality of system information blocks (SIBs). The method further comprises the following steps: receiving a system message, determining second indication information, the second indication information being used to indicate AI / ML function supported by the network side device; determining whether to access, not to access, camp on or not to camp on the cell of the network side device in response to the AI / ML function indicated by the second indication information.

6. The method of claim 4, wherein the system information is transmitted in a plurality of system information blocks (SIBs). The method further comprises the following steps: reporting the AI / ML function indicated by the terminal side device in response to determining that the AI / ML function of the terminal side device contains the AI / ML function indicated by the second indication information.

7. A network side device for implementing the method of any one of claims 1 to 3, characterized in that, At least one module in the network side device is used to implement at least one of the following functions: determining the first indication information and / or the second indication information; broadcasting a system message, wherein the first indication information and / or the second indication information are contained. The first indication information is used to indicate whether the network side device has AI / ML function or not; the second indication information is used to indicate AI / ML function supported by the network side device.

8. A terminal-side apparatus for implementing the method of any one of claims 4 to 6, characterized by At least one module in the terminal side device is used to implement at least one of the following functions: receiving a system message, wherein the first indication information and / or the second indication information are contained; determining the first indication information and / or the second indication information. The first indication information is used to indicate whether the network side device has AI / ML function or not; the second indication information is used to indicate AI / ML function supported by the network side device.

9. A communication device, characterized by The computer program is stored in the memory and can be run on the processor, and when the computer program is executed by the processor, the steps of the method according to any one of claims 1-6 are implemented. ​ 10. A computer readable medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

11. A mobile communication system comprising at least one network-side device according to claim 7 and / or at least one terminal-side device according to claim 8.

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