System message air interface transmission method and device

Abstract

The invention discloses a system message air interface transmission method, which comprises the following steps of: determining first indication information which is used for indicating that network side equipment has / does not have an AI / ML (Artificial Intelligence / Markup Language) function; and broadcasting a system message, wherein the system message comprises the first indication information. The invention further comprises network side equipment, terminal side equipment, a memory, a processor and a wireless communication system which are used for implementing the method. The technical problem of blind access of the terminal equipment is solved, and the method is particularly suitable for a wireless communication scene in which the terminal equipment supports an AI / ML function.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a method and device for air interface transmission of system messages. Background Art

[0002] When a user terminal (UE) accesses a mobile communication network, it first needs to receive the synchronization signal block (SSB) of the cellular cell, obtain downlink synchronization through the SSB, and receive the system information (SI). After obtaining the cell configuration through the system message, a random access process is initiated. Uplink synchronization and the radio network temporary identifier (RNTI) used for communication are obtained through random access. After establishing a wireless link with the base station (gNB), the terminal needs to report capability information (UEcapability). After receiving the terminal capability information, the base station will send the corresponding air interface configuration signaling according to the terminal capability. After receiving the signaling, the terminal communicates wirelessly 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) technology, using AI / ML technology to improve 5G network performance is an important part of realizing the integration of 5G and AI / ML technology and building 5G-Advanced intelligent dimensions. The 3GPP standard organization has initiated standard research for intelligent radio access networks (RAN) since Rel-16, and established 5G air interface enhancement based on AI / ML in Rel-18, opening up international standardization work for the integration of 5G air interface and AI / ML. With the further in-depth integration of 5G-A / 6G mobile communication technology and AI / ML technology, more and more wireless devices will apply AI / ML technology to improve quality of service (QoS) and optimize network performance and energy consumption.

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

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

[0006] In a first aspect, an embodiment of the present application proposes a method for air interface transmission of a system message, which is used for a network side device and comprises the following steps: Determine first indication information, where the first indication information is used to indicate whether the network-side device has an AI / ML function; and broadcast a system message including the first indication information.

[0007] In one embodiment, the method further includes the following steps: determining second indication information, where the second indication information is used to indicate the AI / ML function supported by the network side device; and broadcasting a system message including the second indication information.

[0008] In one embodiment, the method further comprises 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, allocating resources required for the AI / ML function.

[0009] In a second aspect, an embodiment of the present application proposes a system message air interface transmission method for a terminal side device, comprising the following steps: receiving a system message including the first indication information; In response to whether the network side device indicated by the first indication information has / does not have the AI / ML function, determine whether to access, not to access, to reside in, or not to reside in a cell of the network side device.

[0010] In one embodiment, the present invention further includes the following steps: receiving a system message, determining second indication information, wherein the second indication information is used to indicate an AI / ML function supported by a network side device; and determining whether to access, not access, reside in, or not reside in a cell of the network side device in response to the AI / ML function indicated by the second indication information.

[0011] In one embodiment, the method further comprises 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.

[0012] In the third aspect, the embodiments of the present application also propose a network side device for implementing the method described in any one of the embodiments of the first aspect of the present application, wherein at least one module in the network side device is used to implement at least one of the following functions: determining first indication information and / or second indication information; broadcasting a system message, which includes first indication information and / or second indication information.

[0013] In the fourth aspect, the embodiments of the present application also propose a terminal side device for implementing the method described in any one of the embodiments of the second aspect of the present application, wherein at least one module in the terminal side device is used for at least one of the following functions: receiving a system message including a first indication information and / or a second indication information; determining the first indication information and / or the second indication information.

[0014] In the fifth aspect, the present application also proposes a communication device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in any one of the embodiments of the first aspect or the second aspect of the present application.

[0015] In a sixth aspect, the present application further proposes a computer-readable medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any embodiment of the first aspect or the second aspect of the present application are implemented.

[0016] The present application also proposes a mobile communication system, comprising at least one network side device as described in any embodiment of the third aspect of the present application and / or at least one terminal side device as described in any embodiment of the fourth aspect of the present application.

[0017] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: The present application proposes a method for air interface transmission of system messages, which can enable a terminal with AI / ML capabilities to identify whether the current base station has AI / ML capabilities and the AI / ML functions supported by the current base station, and help the terminal determine whether to continue to access the cell during the access process, or help the terminal that has accessed the cell determine whether to continue to reside in the cell. Through the method, the delay of the terminal with AI / ML capabilities in selecting a cell can be effectively reduced, avoiding the waste of air interface resources during the cell selection process. Fast and efficient cell selection can also increase the frequency of AI / ML technology enabling, and effectively use AI / ML technology to improve service quality and network performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 This is a schematic diagram of UE capability information transmission; Figure 2 This is a flow chart of an embodiment of the method of the present application for a network-side device; Figure 3 This is a flow chart of an embodiment of the method of the present application for a terminal side device; Figure 4 It is a schematic diagram of an embodiment of a network side device; Figure 5 is a schematic diagram of an embodiment of a terminal side device; Figure 6 A schematic diagram of the structure of a network side device according to another embodiment of the present invention; Figure 7 It is a block diagram of a terminal side device according to another embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0020] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0021] Figure 1 Figure 1 is a schematic diagram of UE capability information transmission. According to the current standardization process, the terminal reports its own AI / ML function details by sending UE capability information to the base station. The specific process of UE capability transmission is as follows: Figure 1 shown.

[0022] As AI / ML technology is gradually integrated into the field of mobile communications, the speed of terminal equipment replacement is significantly faster than that of network-side equipment such as base stations due to the high economic and technical costs involved in upgrading network equipment. This has led 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 the support for specific AI / ML functions between the terminal and the base station is not synchronized, resulting in that in these scenarios, even if the terminal has AI / ML capabilities, it cannot be effectively enabled or fully utilized in the network environment. Moreover, according to the current 5G standard, when the terminal accesses the network, it is impossible to know the specific capabilities of the base station in advance, including whether the base station has AI / ML processing capabilities and the specific AI / ML functions supported. After completing network access, the terminal must receive the air interface configuration information provided by the base station to determine which AI / ML functions are activated. If a terminal with AI / ML capabilities wants to switch to a cell with AI / ML capabilities, it needs to search the cell again and complete a series of access steps from receiving SSB to receiving system messages to initiating random access, which not only wastes a lot of valuable air interface resources, but also greatly increases access / switching delays.

[0023] It should be noted that the following steps are used for network entities of 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.

[0024] Figure 2 This is a flow chart of an embodiment of the method of the present application being used for network-side equipment.

[0025] In a first aspect, an embodiment of the present application proposes a system message air interface transmission method for a network side device, comprising the following steps 110-140: Step 110: Determine first indication information, where the first indication information is used to indicate whether the network side device has AI / ML function.

[0026] The first indication information is generated according to whether the network side device (or base station) has AI / ML function.

[0027] Furthermore, the network side device further determines second indication information, where the second indication information is used to indicate the AI / ML function supported by the network side device. If the base station indicates that it has AI / ML technical capabilities, the supported AI / ML function is further determined to generate the second indication information.

[0028] Step 120: Broadcast a system message including the first indication information.

[0029] The base station indicates in system messages whether it has AI / ML technology capabilities.

[0030] Preferably, the second indication information is included. The base station indicates in the system message whether it has AI / ML technical capabilities. If the base station indicates that it has AI / ML technical capabilities, it further indicates the AI / ML functions it supports.

[0031] The RRC IE (Information Element) that carries the system message may be a SIB signaling type that has been defined in the current standard, including SIB1 to SIB25, or a newly defined SIB signaling type.

[0032] Step 130: Generate a random access response in response to the random access request from the terminal.

[0033] Establish a connection with the terminal side device in response to a random access request from the terminal.

[0034] In one embodiment, the random access request includes third indication information, where the third indication information includes indication information of whether the terminal device supports the AI / ML function and / or an index of the AI / ML function specifically supported by the terminal device.

[0035] The network side device can respond to the random access request of any terminal to establish a connection with the terminal device. Further, the network side device can respond to the third indication information in the random access request to determine whether to establish a connection with the terminal.

[0036] For example, Before responding to a random access request, the network side device supporting the AI / M function identifies that the current terminal does not have the AI / ML capability and determines not to respond to the random access request; Before responding to a random access request, the network side device supporting the AI / ML function identifies that the current terminal has the AI / ML capability and determines to respond to the random access request; Similarly, for example: Before responding to a random access request, a network-side device that does not support the AI / ML function identifies that the current terminal device does not have the AI / ML capability and determines to respond to the random access request; Before responding to a random access request, a network side device that does not support the AI / ML function identifies that the current terminal device has AI / ML capabilities and determines not to respond to the random access request.

[0037] Step 140: In response to determining the AI / ML function of the terminal side device, allocate resources required for the AI / ML function 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 resources required for the AI / ML function. That is, for example, after the gNB knows the functions supported by the UE, it allocates resources according to the functions.

[0038] In one embodiment, third indication information is received from the terminal to determine the AI / ML function of the terminal side device. The third indication information includes knowledge information of the AI / ML function supported by the connected terminal device.

[0039] Different versions and types of terminal devices differ in the presence or absence of AI / ML capabilities and the specific AI / ML functions they support. 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 perform reasonable configuration and optimize resource scheduling based on the actual capabilities of each terminal.

[0040] It should be noted that according to the current standard process, the base station and the UE should have completed the air interface random access process before the UE sends the capability information to the base station, and the base station will not reject the random access request due to the UE capability. In this application, the base station informs the UE of the capability by broadcasting system information before the connection. Since the base station informs the UE before the connection, in some embodiments, the terminal can also inform the gNB before the connection, so that the possibility of two-way selection appears.

[0041] Figure 3The flowchart of the embodiment of the method of the present application for a terminal side device. In the second aspect, the embodiment of the present application proposes a method for air interface transmission of a system message, which is used for a terminal side device, and includes the following steps 210 to 240: Step 210: Receive a system message and determine the first indication information and / or the second indication information.

[0042] The system message includes the first indication information and / or the second indication information.

[0043] The first indication information is used to indicate whether the network side device has the AI / ML function; the second indication information is used to indicate the AI / ML function supported by the network side device.

[0044] Step 220: In response to whether the network side device indicated by the first indication information has an AI / ML function or not, determine whether to access, not to access, reside in, or not reside in a cell of the network side device.

[0045] When accessing a cell, the terminal receives system messages to identify whether the current base station has AI / ML capabilities or the AI / ML functions supported by the current base station, and determines whether to continue accessing the cell.

[0046] For example, Before initiating an access request, a terminal device supporting the AI / ML function identifies that the current base station does not have the AI / ML capability and determines not to access the cell of the base station; Before initiating an access request, a terminal device supporting AI / ML functions identifies that the current base station has AI / ML capabilities and determines the cell to access the base station; The terminal device supporting AI / ML function determines not to reside in the cell of the base station when it recognizes that the base station it has connected to does not have AI / ML capability; The terminal device supporting AI / ML function has AI / ML capability when recognizing that the base station it has connected to has it, and determines the cell in which it resides on the base station.

[0047] Similarly, for example: Before initiating an access request, a terminal device that does not support the AI / ML function identifies that the current base station does not have the AI / ML capability and determines the cell to access the base station; Before initiating an access request, a terminal device that does not support the AI / ML function identifies that the current base station has the AI / ML capability and determines not to access the cell of the base station; A terminal device that does not support the AI / ML function identifies that the base station it has connected to does not have the AI / ML capability and determines the cell in which it resides on the base station; A terminal device that does not support the AI / ML function determines not to reside in the cell of the base station when it recognizes that the base station it has connected to has the AI / ML capability.

[0048] Through step 220, the terminal side device determines whether the network side device supports the AI / ML function through the indication information, and further selects a cell with matching functions.

[0049] Step 230: In response to the AI / ML function indicated by the second indication information, determine whether to access, not to access, to reside in, or not to reside in a cell of the network side device.

[0050] A terminal that has not yet accessed a cell can identify whether the AI / ML function supported by the current base station has been updated by receiving a system message, and determine whether to send an access request to the cell. Alternatively, a terminal that has already accessed a cell can identify whether the AI / ML function supported by the current base station has been updated by receiving a system message, and determine whether to continue to reside in the cell.

[0051] For example, Before initiating an access request, a terminal device supporting the AI / ML function identifies the AI / ML function supported by the current base station. When the AI / ML function supported by the base station is inconsistent with the AI / ML function supported by the terminal device, it is determined not to access the cell of the base station. Before initiating an access request, a terminal device supporting the AI / ML function identifies the AI / ML function supported by the current base station. When the AI / ML function supported by the base station is consistent with the AI / ML function supported by the terminal device, the cell to access the base station is determined. The terminal device supporting the AI / ML function identifies the AI / ML function supported by the base station to which it has been connected. When the AI / ML function supported by the base station is inconsistent with the AI / ML function supported by the terminal device, it is determined not to reside in the cell of the base station. A terminal device supporting the AI / ML function identifies the AI / ML function supported by the base station to which it has been connected. When the AI / ML function supported by the base station is consistent with the AI / ML function supported by the terminal device, it determines the cell to which it resides.

[0052] Through step 230, the terminal side device determines the AI / ML function supported by the network side device through the indication information, and further selects a cell with matching functions.

[0053] Step 240: Report the AI / ML function of the terminal device.

[0054] The terminal device reports the supported AI / ML functions through the third indication information.

[0055] In one embodiment, the terminal side device reports whether the terminal device supports the AI / ML function or the index of the supported AI / ML function in the random access request process through the third indication information. In another embodiment, after completing the access, the terminal side device reports whether the terminal device supports the AI / ML function or the index of the supported AI / ML function in the uplink signaling through the third indication information.

[0056] 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 the function supported by the gNB is also supported by the UE, and reports to the gNB.

[0057] After the terminal device reports the AI / ML function, the base station can determine whether to meet the access request of the terminal device, for example, responding to or not responding to the random access request of the terminal device, as described in step 130 of the embodiment, which will not be repeated here.

[0058] Figure 4 The figure is a schematic diagram of an embodiment of a network side device.

[0059] The embodiment of the present application further proposes a network side device, which is used to implement the method described in any embodiment of the first aspect of the present application, and 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, which includes the first indication information and / or the second indication information; receiving a random access request, which includes the third indication information.

[0060] To implement the above technical solution, the present application proposes a network side device 400, which includes a network sending module 401, a network determining module 402, and a network receiving module 403 that are interconnected.

[0061] The network sending module is used to send system messages.

[0062] The network determination module is used to determine the first indication information and / or the second indication information, and in one embodiment, is also used to determine the third indication information.

[0063] The network receiving module is used to receive a random access request.

[0064] The specific methods for implementing the functions of the network sending module, the network determining module, and the network receiving module are as described in the various method embodiments of the present application and will not be repeated here.

[0065] The network side equipment described in this application may refer to base station facilities, network side equipment or servers connected to the base station, or a 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.

[0066] Figure 5 It is a schematic diagram of an implementation example of a terminal side device.

[0067] The present application also proposes a terminal side device, used to implement the method described in any one of the embodiments of the second aspect of the present application, and at least one module in the terminal side device is used for at least one of the following functions: receiving a system message, including first indication information and / or second indication information; determining first indication information and / or second indication information; sending a random access request, including third indication information.

[0068] To implement the above technical solution, the present application proposes a terminal side device 500, which includes a terminal sending module 501, a terminal determining module 502, and a terminal receiving module 503 that are interconnected.

[0069] The terminal receiving module is used to receive system messages.

[0070] The terminal determination module is used to determine the first indication information and / or the second indication information, and further determine access, non-access, reside or non-residence in the current cell. In one embodiment, it is also used to determine the third indication information.

[0071] The terminal sending module is used to send a random access request or uplink signaling.

[0072] 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 the present application and will not be repeated here.

[0073] The terminal side device described in this application may refer to a user equipment (UE), a personal mobile terminal, a smart terminal, a mobile phone, a computer with communication function, or a system that provides services for the above-mentioned devices, or any system, subsystem, module, circuit, chip or software running device that provides information reception, transmission, identification and processing for the above-mentioned devices.

[0074] Figure 6A schematic diagram of the structure of a network side device of another embodiment of the present invention is shown. As shown in the figure, the network side device 600 includes a processor 601, a wireless interface 602, and a memory 603. Among them, the wireless interface can be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium. The wireless interface implements the communication function with the terminal side device, processes wireless signals through receiving and transmitting devices, and the data carried by the signals communicates with the memory or processor via an internal bus structure. The memory 603 contains a computer program for executing any one embodiment of the present application, and the computer program runs or changes on 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 repeated here.

[0075] Figure 7 7 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 through a bus system. The bus system is used to realize connection and communication between these components. The bus system includes a data bus, a power bus, a control bus and a status signal bus.

[0076] The user interface 703 may include a display, a keyboard, or a pointing device, such as a mouse, a trackball, a touch pad, or a touch screen.

[0077] 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, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application program includes various application programs, such as a media player, a browser, etc., which are used to implement various application services.

[0078] In an embodiment of the present invention, the memory 702 contains a computer program for executing any one of the embodiments of the present application, and the computer program runs or changes on the processor 701 .

[0079] The memory 702 includes a computer-readable storage medium, and the processor 701 reads the information in the memory 702 and completes the steps of the above method in combination with its hardware. Specifically, the computer-readable storage medium stores a computer program, and when the computer program is executed by the processor 701, each step of the method embodiment described in any of the above embodiments is implemented.

[0080] The processor 701 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the method of the present application can be completed by an integrated logic circuit of hardware in the processor 701 or an instruction in software form. The processor 701 may be a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a ready-made programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The methods, steps, and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor.

[0081] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of complete hardware embodiments, complete software embodiments, or embodiments combining software and hardware. In a typical configuration, the device of the present application includes one or more processors (CPU), an input / output user interface, a network interface, and a memory.

[0082] 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 codes.

[0083] Therefore, the present application also proposes a computer-readable medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in any embodiment of the present application are implemented. For example, the memory 603, 702 of the present invention may include a non-permanent memory in a computer-readable medium, a random access memory (RAM) and / or a non-volatile memory, such as a read-only memory (ROM) or a flash RAM.

[0084] Based on the embodiments of the above-mentioned apparatus of the present application, the present application also proposes a mobile communication system, comprising at least one embodiment of any terminal side device in the present application and / or at least one embodiment of any network side device in the present application.

[0085] It should be noted that the specific mobile communication technology described in the present invention is not limited, and may be WCDMA, CDMA2000, TD-SCDMA, WiMAX, LTE / LTE-A, LAA, MuLTEfire, and subsequent fifth, sixth, and Nth generation mobile communication technologies.

[0086] The terminal described in the present invention refers to a terminal-side product that can support the communication protocol of the land mobile communication system, a special communication modem module (Wireless Modem), which can be integrated into various types of terminal forms such as mobile phones, tablet computers, data cards, etc. to complete the communication function.

[0087] For the convenience 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 access device on the network side can be represented as a base station or access point.

[0088] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0089] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "the" and "the" used herein may also include 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 intermediate device or component. In addition, the "connection" used herein may include a partial wireless connection and a partial wired connection.

[0090] In the description of the present application, it should be understood that the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances. In addition, in the description of the present application, unless otherwise specified, "multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " indicates that the previously associated objects are in an "or" relationship.

[0091] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for air interface transmission of system messages, used for network side equipment, characterized in that: The following steps are involved: Determine first indication information, where the first indication information is used to indicate whether the network side device has an AI / ML function; A broadcast system message including the first indication information.

2. A method for air interface transmission of system messages according to claim 1, characterized in that: It also includes the following steps: Determine second indication information, where the second indication information is used to indicate an AI / ML function supported by the network side device; A system message is broadcast, which includes the second indication information.

3. A method for air interface transmission of system messages according to claim 1, characterized in that: 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, resources required for the AI / ML function are allocated.

4. A method for air interface transmission of system messages, used for terminal side equipment, characterized in that: The following steps are involved: receiving a system message including the first indication information; In response to whether the network side device indicated by the first indication information has / does not have the AI / ML function, it is determined to access, not access, reside in, or not reside in a cell of the network side device.

5. A method for air interface transmission of system messages according to claim 4, characterized in that: It also includes the following steps: receiving a system message, and determining second indication information, where the second indication information is used to indicate an AI / ML function supported by the network side device; In response to the AI / ML function indicated by the second indication information, determine whether to access, not to access, to reside in, or not to reside in a cell of the network side device.

6. A method for air interface transmission of system messages according to claim 4, characterized in that: It also 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.

7. A network side device, used to implement the method according to 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, including the first indication information and / or the second indication information; The first indication information is used to indicate whether the network side device has the AI / ML function; the second indication information is used to indicate the AI / ML function supported by the network side device.

8. A terminal side device, used to implement the method according to any one of claims 4 to 6, characterized in that: At least one module in the terminal side device is used for at least one of the following functions: receiving a system message including the first indication information and / or the second indication information; 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 the AI / ML function; the second indication information is used to indicate the AI / ML function supported by the network side device.

9. A communication device, characterized in that: include: 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 according to any one of claims 1 to 6.

10. A computer-readable medium storing a computer program, wherein the computer program, 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 as described in claim 7 and / or at least one terminal side device as described in claim 8.

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