Method and apparatus in a node for wireless communication

Abstract

A method and apparatus in a node for wireless communication are provided to reduce signaling overhead. The method comprises the following steps: sending first information, wherein the first information indicates a first intelligent level; receiving a first control signaling; wherein the first control signaling comprises a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligent level corresponds to the first control information format; the first control signaling is used for indicating the first node to receive or send a wireless signal.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and more specifically, to a method and device in a node for wireless communication. Background Art

[0002] After the introduction of artificial intelligence (AI) technology in wireless communication links, the functional modules of the transmitter and receiver can be jointly designed based on the model. However, the traditional control information indication method is not suitable for future AI smart transceivers. Therefore, how to provide the necessary control information indication for AI smart transceivers to improve resource utilization efficiency has become a technical problem that needs to be solved. Summary of the invention

[0003] The embodiments of the present application provide a method and device in a node for wireless communication. The following introduces various aspects involved in the present application.

[0004] In a first aspect, a method is provided in a first node for wireless communication, comprising: sending first information, wherein the first information indicates a first intelligence level; receiving first control signaling; wherein the first control signaling comprises a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

[0005] In a second aspect, a method is provided in a second node for wireless communication, comprising: receiving first information, the first information indicating a first intelligence level; sending a first control signaling; wherein the first control signaling comprises a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send a wireless signal.

[0006] According to a third aspect, a first node for wireless communication is provided, comprising: a first transmitter for sending first information, wherein the first information indicates a first intelligence level; a first receiver for receiving a first control signaling; wherein the first control signaling comprises a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

[0007] In a fourth aspect, a second node for wireless communication is provided, comprising: a second receiver for receiving first information, wherein the first information indicates a first intelligence level; a second transmitter for sending a first control signaling; wherein the first control signaling includes a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

[0008] In a fifth aspect, a first node used for wireless communication is provided, comprising a transceiver, a memory and a processor, wherein the memory is used to store programs, the processor is used to call the programs in the memory and control the transceiver to receive or send signals so that the first node executes the method described in the first aspect.

[0009] In a sixth aspect, a second node used for wireless communication is provided, comprising a transceiver, a memory and a processor, wherein the memory is used to store programs, the processor is used to call the programs in the memory and control the transceiver to receive or send signals so that the second node executes the method described in the second aspect.

[0010] In a seventh aspect, an embodiment of the present application provides a communication system, which includes the first node and / or the second node described above. In another possible design, the system may also include other devices that interact with the first node or the second node in the solution provided in the embodiment of the present application.

[0011] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program enables a computer to execute part or all of the steps in the methods of the above aspects.

[0012] In a ninth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps in the above-mentioned various aspects of the method. In some implementations, the computer program product can be a software installation package.

[0013] In the tenth aspect, an embodiment of the present application provides a chip, which includes a memory and a processor. The processor can call and run a computer program from the memory to implement some or all of the steps described in the methods of the above aspects.

[0014] In an embodiment of the present application, the first node may send first information indicating a first intelligence level, and the received first control signaling includes a first control information format corresponding to the first intelligence level. It can be seen that the second node may provide control information matching the first node according to the AI ​​intelligence level of the first node, which helps to avoid control information redundancy, reduce signaling overhead, and thus improve resource utilization efficiency.

[0015] In an embodiment of the present application, the first control information format included in the first control signaling is one of a plurality of candidate control information formats. It can be seen that when the second node sends the control signaling, the control information can be flexibly configured by considering different control information formats. The control information configured by the second node is determined based on the intelligence level of the first node, so that the necessary control information indication can be provided for the AI ​​endogenous intelligent transceiver of the first node to optimize resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The following is an example diagram of the system architecture of a wireless communication system to which the embodiments of the present application can be applied.

[0017] Figure 2 Schematic diagram of a network architecture to which the embodiments of the present application can be applied.

[0018] Figure 3A and Figure 3B The figure is a schematic diagram of the structure of a wireless protocol stack to which the embodiments of the present application can be applied.

[0019] Figure 4 A schematic diagram of a wireless communication link related to an embodiment of the present application.

[0020] Figure 5 The present invention is a schematic diagram of a framework of source-channel joint coding to which an embodiment of the present application can be applied.

[0021] Figure 6 The figure is a schematic diagram of a wireless communication link to which an embodiment of the present application can be applied.

[0022] Figure 7 A schematic diagram of another wireless communication link to which the embodiments of the present application can be applied.

[0023] Figure 8 The figure is a schematic diagram of another wireless communication link to which the embodiments of the present application can be applied.

[0024] Fig. 9 The figure is a schematic diagram of another wireless communication link to which the embodiments of the present application can be applied.

[0025] Fig.10 The figure is a schematic diagram of another wireless communication link to which the embodiments of the present application can be applied.

[0026] Fig.11 A flowchart of a method in a first node for wireless communication provided in an embodiment of the present application.

[0027] Fig.12 for Fig.11 A flowchart of a possible implementation of the method shown.

[0028] Fig.13 for Fig.11 A flowchart of another possible implementation of the method is shown.

[0029] Fig.14 A schematic diagram of the structure of a first node for wireless communication provided in an embodiment of the present application.

[0030] Fig.15 A schematic diagram of the structure of a second node for wireless communication provided in an embodiment of the present application.

[0031] Fig.16 A schematic structural diagram of a device provided in an embodiment of the present application.

[0032] Fig.17 A schematic diagram of the hardware modules of a communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The technical solution in this application will be described below in conjunction with the accompanying drawings.

[0034] Figure 1 1 is a diagram showing an example of a system architecture of a wireless communication system 100 to which an embodiment of the present application can be applied. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 may provide communication coverage for a specific geographical area, and may communicate with the terminal device 120 located in the coverage area.

[0035] Figure 1 One network device and multiple terminal devices are exemplarily shown, for example, terminal devices 120a to 120j in the figure. Optionally, the wireless communication system 100 may include multiple network devices and each network device may include other number of terminal devices within its coverage area, which is not limited in the embodiments of the present application.

[0036] Optionally, the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiments of the present application.

[0037] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: fifth-generation (5th-generation, 5G) system or new wireless (new radio, NR) system, long-term evolution (long term evolution, LTE) system, LTE frequency division duplex (frequency division duplex, FDD) system, LTE time division duplex (time division duplex, TDD) system, enhanced long-term evolution (advanced long term evolution, LTE-A) system, enhanced 5G (5G advanced) system, etc. The technical solutions provided in the present application can also be applied to future communication systems, such as the sixth-generation (6th-generation, 6G) mobile communication system, satellite communication system, and so on.

[0038] The terminal device in the embodiment of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. The terminal device in the embodiment of the present application may be a device that provides voice and / or data connectivity to a user, and may be used to connect people, objects and machines, such as a handheld device with wireless connection function, a vehicle-mounted device, etc. The terminal device in the embodiment of the present application can be a mobile phone, a tablet computer, a laptop, a PDA, a camera device, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, etc. Optionally, the terminal device can be used to act as a base station. For example, the terminal device can act as a scheduling entity, which provides sidelink signals between UEs in vehicle-to-everything (V2X) or device-to-device (D2D), etc. For example, a cellular phone and a car communicate with each other using sidelink signals. Cellular phones and smart home devices communicate with each other without relaying the communication signal through a base station.

[0039] The network device in the embodiment of the present application may be a device for communicating with a terminal device, and the network device may also be referred to as an access network device or a wireless access network device, such as a base station (BS). The network device in the embodiment of the present application may refer to a wireless access network (RAN) node (or device) that connects a user device to a wireless network. Base station can broadly cover various names as follows, or replace with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, transmitting and receiving point (TRP), transmitting point (TP), master station (MeNB), secondary station (SeNB), multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, base band unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. The base station can also refer to a communication module, a modem or a chip used to be set in the aforementioned device or apparatus. The base station can also be a mobile switching center and a device that performs the base station function in D2D, V2X, machine-to-machine (M2M) communication, a network side device in a 6G network, and a device that performs the base station function in a future communication system. The base station can support networks with the same or different access technologies. The embodiments of the present application do not limit the specific technology and specific device form adopted by the network device.

[0040] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0041] In some deployments, the network device in the embodiments of the present application may refer to a CU or a DU, or the network device includes a CU and a DU. The gNB may also include an AAU.

[0042] The network equipment and terminal equipment can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on the water surface; they can also be deployed on aircraft, balloons and satellites in the air. The embodiments of the present application do not limit the scenarios in which the network equipment and terminal equipment are located.

[0043] It should be understood that all or part of the functions of the communication device in the present application may also be implemented by software functions running on hardware, or by virtualization functions instantiated on a platform (eg, a cloud platform).

[0044] Figure 2 A schematic diagram of a network architecture 200 of an embodiment of the present application is exemplarily shown. The network architecture 200 illustrates the network architecture of a 5GNR / LTE / LTE-A system, which may also be referred to as a 5G system (5G system, 5GS) / evolved packet system (evolved packet system, EPS) network architecture. The network architecture 200 includes a network device 110, a terminal device 120, a 5G core network (5G core network, 5GC) / evolved packet core (evolved packet core, EPC) 210, a home subscriber server (home subscriber server, HSS) / unified data management (unified data management, UDM) 220, and at least one of an Internet service 230. Figure 2 The network device and terminal device in the figure are illustrated by taking RAN and UE as examples respectively.

[0045] like Figure 2As shown, the network device 110 provides user plane protocol and control plane protocol termination towards the terminal device 120. The network device 110 is connected to the 5GC / EPC210 via the S1 / NG interface. The 5GC / EPC210 includes a mobility management entity (MME) / authentication management field (AMF) / session management function (SMF) 211, other MME / AMF / SMF214, a service gateway (S-GW) / user plane function (UPF) 212 and a packet data network gateway (P-GW) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between the terminal device 120 and the 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management. All user internet protocol (IP) packets are transmitted through S-GW / UPF 212, which is itself connected to P-GW / UPF 213. P-GW provides UE IP address allocation and other functions. P-GW / UPF 213 is connected to Internet services 230. Internet services 230 include operator-specific Internet protocol services, which may specifically include the Internet, intranet, IP multimedia subsystem (IMS), and packet-switched streaming services. It can be seen that network architecture 200 provides packet-switched services, but those skilled in the art will readily appreciate that the various concepts presented throughout this application can be extended to networks that provide circuit-switched services or other cellular networks.

[0046] Figure 3A and Figure 3B A schematic diagram of the wireless protocol stack structure of an embodiment of the present application is shown respectively. Figure 3A and Figure 3B The 5G wireless protocol stack is used as an example for introduction. The 5G wireless protocol stack is divided into two planes: the user plane (UP) protocol stack and the control plane (CP) protocol stack. The user plane protocol stack is the protocol cluster used for user data transmission, and the control plane protocol stack is the protocol cluster used for control signaling transmission of the 5G system. The names of the layers of each protocol stack are as follows:

[0047] like Figure 3AAs shown, the user plane protocol stack includes, from top to bottom, a service data adaptation protocol (SDAP) layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, a medium access control (MAC) layer, and a physical (PHY) layer.

[0048] like Figure 3B As shown, the control plane protocol stack includes, from top to bottom: non-access stratum (NAS); radio resource control (RRC) layer, PDCP layer, RLC layer, MAC layer and PHY layer.

[0049] It should be understood that different layers in the above protocol stack have different functions, and the communication function between the terminal device and the network device is realized through the interaction between the layers. With the development of artificial intelligence technology, artificial intelligence-assisted computing functions have penetrated into the processing implementation methods of the above protocol stack. For example, the scheduling algorithm of the MAC layer and the encoding and decoding algorithm of the PHY layer can apply artificial intelligence algorithms to improve the performance of the communication algorithm.

[0050] As an example, Figure 3A and Figure 3B The wireless protocol architecture in is applicable to the first node in this application.

[0051] As an example, Figure 3A and Figure 3B The wireless protocol architecture in is applicable to the second node in this application.

[0052] It should be understood that the interpretation of the terms in the embodiments of the present application can refer to the specification protocols TS36 series, TS37 series and TS38 series of the 3rd generation partnership project (3GPP), but can also refer to the specification protocols of the Institute of Electrical and Electronics Engineers (IEEE).

[0053] For ease of understanding, some relevant technical knowledge involved in the embodiments of the present application is first introduced. The following related technologies can be arbitrarily combined with the technical solutions of the embodiments of the present application as optional solutions, and they all belong to the protection scope of the embodiments of the present application. The embodiments of the present application include at least part of the following contents.

[0054] With the development of communication technology, AI technology is setting off a new round of technological revolution in human society. As an important research direction of AI technology, machine learning (ML) has successfully solved a series of problems that were difficult to handle before by utilizing the nonlinear processing capabilities of deep neural networks (DNN). It has even shown better performance than humans in the fields of image recognition, speech processing, natural speech processing, and games, and has therefore received increasing attention recently.

[0055] With the continuous development of AI technology, wireless communication systems are also developing rapidly. For example, 5G mobile communication systems can support three major application scenarios, including enhanced mobile broadband (eMBB), ultra-reliable low latency communication (uRLLC) and massive machine type communications (mMTC). In the future, 6G and even wireless communication systems after 6G will evolve towards higher throughput, lower latency, higher reliability, larger number of connections, and higher spectrum utilization. AI has important application potential in many aspects such as modeling, learning, channel prediction, intelligent signal generation and processing, network status tracking and intelligent scheduling, and network optimization and deployment in complex and unknown environments, and is expected to promote the evolution of future communication paradigms and changes in network architecture. Thanks to breakthroughs in AI technology and computing power technology, communication systems are constantly developing in the direction of endogenous intelligence. As an example, it is of great significance and value to study the 6G wireless air interface and wireless networking endogenous to AI.

[0056] Traditional wireless communication links mainly solve the problem of transmission link complexity by stacking modules and intensifying technology. Figure 4 An exemplary description is given.

[0057] like Figure 4As shown, the transmitting end of the communication link includes seven modules. The seven modules are, in order of processing, a source encoder module, a channel encoder module, a modulation module, a demodulation reference signal (DMRS insert) module, a precoding and mapping module, a waveform generation module, and a RF digital predistortion (DPD) module. After being processed by multiple modules, the antenna at the transmitting end sends the wireless channel to the receiving end through beam scanning. The antenna at the receiving end receives through beam scanning.

[0058] Corresponding to the transmitting end, the receiving end mainly includes eight modules. In the order of processing after channel reception, they are the RF module, timing / carrier recovery module, de-mapping module, channel estimation module, channel equalization module, demodulation module, channel decoder module and source decoder module.

[0059] Depend on Figure 4 It can be seen that each functional module of the traditional communication link is designed and optimized independently. After a long period of exploration, each functional module has approached its own theoretical limit. Further improvement of performance has led to a sharp increase in complexity with little effect. In the design and optimization process of some functional modules, in order to reduce the design complexity, some nonlinear processing is simplified and assumed to be linear operations, and the linear processing method limits the improvement of the performance of each module. In addition, the optimality of a module is not equivalent to the optimal performance of the entire link, and modular design has performance losses.

[0060] In traditional 4G and 5G systems, downlink control information (DCI) is used to schedule the downlink data channel, namely the physical downlink shared channel (PDSCH).

[0061] Optionally, the DCI may include a mapping of a virtual resource block (VRB) to a physical resource block (PRB) (VRB-to-PRB mapping), which is used to instruct a demapping module of a receiver to perform resource demapping.

[0062] Optionally, the DCI may include a DMRS sequence initialization value (sequence initialization) to instruct a channel estimation module and a channel equalization module of the receiver to perform channel estimation and equalization.

[0063] Optionally, the DCI may include a modulation and coding scheme (MCS), a redundancy version (RV), and a hybrid automatic repeat request (HARQ) process number, which are used to instruct the demodulation module and the decoding module of the receiver to perform demodulation and decoding, respectively. Similarly, the DCI used to schedule the uplink data channel, namely the physical uplink shared channel (PUSCH), may also include MCS, RV, and HARQ process number, which are used to instruct the transmitter to perform modulation and coding.

[0064] Combination of the above Figure 4 The traditional wireless communication link and the control information used to schedule the data channel are introduced. Thanks to the introduction of AI / ML technology, the performance of the communication link has been effectively improved. For example, AI / ML methods are used to replace Figure 4 The modules in the can improve performance and reduce processing latency. For another example, AI / ML methods can be directly applied to air interface design.

[0065] In some embodiments, the application of AI / ML in the wireless physical layer may include a data-driven approach and a model-driven approach.

[0066] Traditional deep learning networks are mostly based on data-driven methods. This method uses a standard neural network structure as a black box and trains it with a large amount of data. In addition to requiring a large data set, training a standard neural network also requires a lot of training time and computing power. However, these resources are extremely scarce in some cases, especially in the field of wireless communications.

[0067] For the model-driven approach, the model-driven deep learning approach builds network topology based on known physical mechanisms and domain knowledge, requires less training data and shorter training time, and has therefore become an effective means to achieve intelligent communication.

[0068] It can be seen that studying the wireless physical layer design of model-driven deep learning is the theoretical support and technical direction for the development of intelligent communications for 6G. Optionally, there are three ways to construct model-driven deep learning: forming a signal flow graph from an iterative algorithm; using the algorithm as an initialization step and combining it with a neural network; and imitating the traditional structure in the model-driven method. Currently, the wireless physical layer design for model-driven deep learning has been widely studied in the fields of massive MIMO channel estimation, signal detection, channel decoding, CSI feedback, and multi-user precoding.

[0069] AI / ML can be applied in the wireless physical layer in many ways. As one implementation, the application of AI / ML in the wireless physical layer includes using neural networks to replace the basic functional modules in traditional transmitters and receivers. As another implementation, the physical layer communication is regarded as an end-to-end signal reconstruction problem. The concept of autoencoder can be used to represent the physical layer communication process. By performing joint optimization of end-to-end communication, it can become an AI smart transmitter and an AI smart receiver.

[0070] For ease of understanding, the following Figures 5 to 10 , an exemplary introduction is given to an example of a joint coding framework and various AI smart receivers or transmitters in a communication link that can be applied to an embodiment of the present application.

[0071] In some embodiments, the joint coding framework can be a source-channel joint coding framework. The following is an introduction to the source-channel joint coding (JSCC) for semantic communication. Semantic coding transmission matches and integrates representation learning, source coding, and channel coding, and performs end-to-end design according to the optimization goal to achieve high-fidelity data transmission. Among them, representation learning is the effective extraction of source semantic features, and it is the most critical step in the semantic coding transmission process. Therefore, source-channel joint coding can achieve efficient and robust transmission of semantic features. In the wireless communication link, each module of the entire link can use a nonlinear design processing method to further provide semantic extraction and coding protection capabilities. Figure 5 The framework shown provides two source-channel joint coding methods for semantic communication: semantic direct coding transmission and semantic transformation coding transmission.

[0072] like Figure 5As shown in the figure, in the source-channel joint coding method for semantic communication, the transmitter can extract semantic features from the input image and then perform source-channel coding. The encoded parameters reach the receiver through the communication channel. The receiver performs source-channel decoding and semantic feature fusion, and then outputs the image.

[0073] See also Figure 5 For direct coding transmission, the transmitter performs source-channel joint coding on the input x to obtain the output s; after transmission through the communication channel, s is converted to Receiver Perform source-channel joint decoding to obtain

[0074] Continue to see Figure 5 For transform coding transmission, the transmitter performs a nonlinear analytical transformation on the input x to obtain the output y; the semantic latent space feature vector based on y is subjected to variable rate source-channel joint coding to obtain multiple outputs s; the multiple outputs s are converted into multiple The receiving end is for multiple Perform variable rate source-channel joint decoding to obtain Then, through nonlinear synthetic transformation, we can get

[0075] Optionally, during transform coding transmission, the source space can be converted into a semantic feature space, and a semantic feature map can be generated by combining y obtained by nonlinear analytical changes. The semantic feature map can be input into a feature prior model to obtain a code rate allocation for variable rate source-channel joint coding.

[0076] Figure 5 The source-channel joint coding for semantic communication is taken as an example for introduction. In some embodiments, the joint coding also includes deep learning-based source-channel joint coding (deep JSCC). Deep learning-based source-channel joint coding can generally be divided into two categories.

[0077] The first category, inspired by uncoded transmission, jointly designs the source coding module, channel coding module and modulation module into a joint encoder, that is, a symbol encoder based on the physical channel, such as Figure 6 shown.

[0078] Figure 6 The wireless communication link shown is Figure 4 AI technology is introduced into the wireless communication link in the network. Figure 6 The wireless communication link in includes a symbol encoder based on the physical channel. Figure 6As shown in FIG, the source coding module, channel coding module and modulation module on the transmitter side are jointly designed as an AI joint modulation encoder, and the source decoding module, channel decoding module and demodulation module on the receiver side are jointly designed as an AI joint demodulation decoder. The AI ​​joint modulation encoder does not need to send an MCS indication to the AI ​​joint demodulation decoder.

[0079] The second type is to design the source coding module and the channel coding module together as a joint encoder, and the other modules in the communication link are abstracted as binary channels, that is, a bit encoder based on the abstract channel, such as Figure 7 In the joint encoder, the AI ​​smart transmitter may generate irregular coding and / or modulation, and the AI ​​smart transmitter does not need to indicate the MCS or coding format to the AI ​​smart receiver.

[0080] Figure 7 The wireless communication link shown is also Figure 2 AI technology is introduced into the wireless communication link in the network. Figure 7 The wireless communication link in includes a bit encoder based on an abstract channel. Figure 7 As shown, the source coding module and the channel coding module on the transmitter side are jointly designed as an AI joint encoder, and the source decoding module and the channel decoding module on the receiver side are jointly designed as an AI joint decoder. The AI ​​joint encoder does not need to send a coding format indication to the AI ​​joint decoder.

[0081] Combination of the above Figures 5 to 7 The application of AI / ML technology in joint coding is introduced exemplarily. AI / ML technology can also be used in corresponding modules such as modulation identification and demodulation, channel estimation, and channel equalization. When using AI / ML technology for modulation identification and demodulation, the transmitter does not need to indicate the modulation scheme to the AI ​​smart receiver. When using AI / ML technology for channel estimation, channel equalization, and modulation identification and demodulation, the transmitter does not need to indicate the modulation scheme and reference signal to the AI ​​smart receiver.

[0082] Figure 8 The wireless communication link in is a way to implement AI intelligent demodulation. Figure 8 As shown, after the demodulation module on the receiver side is designed as an AI intelligent demodulator, the transmitter does not need to send an indication of the modulation format to the receiver.

[0083] Fig. 9 The wireless communication link in is a way to implement AI intelligent equalization and demodulation. Fig. 9As shown, the modulation module and DMRS insertion module on the transmitter side are jointly designed based on the AI ​​irregular constellation diagram, and the demodulation module, channel equalization module and channel estimation module on the receiver side are jointly designed as part of the AI ​​smart receiver. The transmitter does not need to send modulation format indication and DMRS indication to the AI ​​smart receiver.

[0084] Figure 8 and Fig. 9 The module corresponding to the waveform generation module at the receiving end and the transmitting end is the waveform receiving and processing module.

[0085] In some embodiments, AI technology can realize AI intelligent end-to-end joint transmission and reception. The end-to-end communication system can transform the traditional communication system into a data-driven framework, and the transmitter and receiver are jointly trained based on the end-to-end loss function. As an example, the nonlinear loss caused by the digital pre-distortion (DPD) module of the RF can also be introduced into the AI ​​smart transmitter, and the RF nonlinear loss can be compensated through end-to-end joint training. In this case, the transmitter does not need to indicate the modulation format, the reference signal, or even the multiple-input multiple-output (MIMO) related information to the AI ​​smart receiver.

[0086] Fig.10 The wireless communication link in is a way to implement AI intelligent end-to-end joint transmission and reception. Fig.10 As shown, the modulation module, DMRS insertion module, precoding and mapping module, and waveform generation module on the transmitter side are jointly designed as part of the AI ​​smart transmitter, and the demodulation module, channel equalization module, channel estimation module, demapping module, and waveform receiving and processing module on the receiver side are jointly designed as part of the AI ​​smart receiver. The nonlinear loss of the RF digital predistortion module is introduced into the AI ​​smart transmitter. Fig.10 In the framework shown, the transmitter does not need to send a modulation format indication, a DMRS indication, and a MIMO indication to the receiver.

[0087] Depend on Figures 5 to 10 It can be seen that after the introduction of AI technology in the wireless communication link, the functional modules of the transmitter or receiver will be jointly designed, and the indication information sent from the transmitter side to the receiver side is related to the application method of AI. However, the traditional DCI format design is for the traditional wireless communication link with separated functional modules, and is not suitable for the future AI-native smart transmitter and AI-native smart receiver.

[0088] In addition, whether the future 6G system can achieve full intelligence requires many factors to be considered. For example, the AI / ML model used by the AI ​​smart transceiver requires a lot of data training. Another example is that the terminal devices in the future will have different forms. Due to the limitations of various factors such as computing power, storage cost and processing power, data privacy, system requirements, application environment and compatibility, the AI / ML models and functions that each terminal device can support are also different. In other words, different AI / ML models and functions will lead to different AI intelligence levels.

[0089] In summary, for AI-native wireless air interfaces and communication links, it is necessary to consider providing necessary control information instructions for AI smart transmitters or AI smart receivers. Specifically, how to avoid redundant control information instructions to improve resource utilization efficiency is a problem that needs to be considered. In addition, for different AI intelligence levels, how to consider different control information formats to optimize resource utilization efficiency is also a problem that needs to be considered.

[0090] Based on this, an embodiment of the present application proposes a method in a node for wireless communication. For a first node, the first node can send first information indicating a first intelligence level, and the first control signaling subsequently received includes a first control information format corresponding to the first intelligence level. It can be seen that the second node can provide control information matching the first node based on the intelligence level of the first node, which helps to avoid redundancy of control information, reduce signaling overhead, and thus improve resource utilization efficiency.

[0091] For ease of understanding, the following Fig.11 The method for wireless communication proposed in the embodiment of the present application is described in detail. Fig.11 It is introduced from the perspective of the interaction between the first node and the second node.

[0092] As an embodiment, the first node may be a network-controlled repeater (NCR).

[0093] As an embodiment, the first node may be a terminal device, for example, Figure 1 The terminal device 120 is shown.

[0094] As an embodiment, the first node may be a relay, such as a relay terminal.

[0095] As an embodiment, the second node may be a network device, for example, Figure 1 A network device 110 is shown.

[0096] As an embodiment, the second node may be a base station.

[0097] Fig.11The method shown includes step S1110 and step S1120, which are introduced below.

[0098] In step S1110, the first node sends the first information. The first node may send the first information to the second node.

[0099] The first information may be carried in multiple signalings, or the first information may include multiple signalings. In some embodiments, the first information may be carried in signalings at different layers of a protocol stack. In some embodiments, the first information block may include signalings at multiple different layers.

[0100] As an embodiment, the first information includes higher-layer signaling.

[0101] As an embodiment, the first information includes RRC layer signaling.

[0102] As an embodiment, the first information includes a radio resource control-information element (RRC information element, RRC IE).

[0103] As an embodiment, the first information includes MAC layer signaling.

[0104] As an embodiment, the first information includes a multimedia access control-control element (MAC control element, MAC CE).

[0105] The first information may indicate a first intelligence level. In some embodiments, the first intelligence level may be replaced by a first intelligence level, a first AI intelligence level, or a first AI intelligence level. The first intelligence level may represent the AI ​​intelligence level of the first node or the first node side. For example, the first intelligence level may reflect the AI ​​intelligence level of the first node transceiver. The embodiment of the present application adapts different control information formats to different terminal devices by introducing the AI ​​intelligence level of the terminal transceiver, thereby reducing signaling overhead.

[0106] As an embodiment, the first intelligence level may represent the AI ​​intelligence level of the intelligent receiver of the first node. The intelligent receiver of the first node may be referred to as the first receiver. The first intelligence level may be determined according to the intelligence level of the first receiver.

[0107] As an embodiment, the first intelligence level may represent the AI ​​intelligence level of the intelligent transceiver of the first node. The intelligent receiver of the first node may be referred to as the first transceiver. The first intelligence level may be determined according to the intelligence level of the first transceiver.

[0108] The first intelligence level of the first node may be associated with one or more information. That is, the first intelligence level of the first node side may be characterized by at least one of a variety of information. The various information may include: functions related to the AI / ML model adopted by the first node; intelligent receiving functions adopted by the first node; capabilities of the first node; the category of the first node; the category of the transceiver or receiver adopted by the first node; one or more models supported by the first node; one or more function identifiers supported by the first node, etc. One or more information associated with the first intelligence level is described below.

[0109] In some embodiments, the first intelligence level may indicate the functions related to the AI ​​model and / or ML model adopted by the first node, that is, the relevant functions of the AI / ML model. When the first node introduces AI / ML technology, different AI / ML models can support different functional implementations. Therefore, the first intelligence level may reflect the relevant functions of the AI / ML model adopted by the first node.

[0110] As an embodiment, the relevant functions of the AI / ML model adopted by the first node are related to the capabilities of the first node.

[0111] As an embodiment, the first intelligence level is related to the AI / ML model adopted by the first node.

[0112] As an embodiment, the first intelligence level is used to identify the AI / ML model adopted by the first node.

[0113] As an embodiment, the first intelligence level indicates the AI / ML model adopted by the first node.

[0114] As an embodiment, the first intelligence level is related to the AI / ML function adopted by the first node.

[0115] As an embodiment, the first intelligence level is used to identify the AI / ML functionality employed by the first node.

[0116] As an embodiment, the first intelligence level indicates the AI / ML functionality employed by the first node.

[0117] As an embodiment, the first intelligence level indicates a model reasoning operation adopted by the first node.

[0118] In some embodiments, the first intelligence level may indicate an intelligent receiving function adopted by the first node. The intelligent receiving function adopted by the first node is related to the receiver of the first node. When any one or more modules in the receiver of the first node introduce AI / ML technology, the receiver of the first node can realize intelligent reception.

[0119] As an embodiment, the first intelligence level is related to an intelligent receiver adopted by the first node.

[0120] As an embodiment, the first intelligence level is related to the functionality of an intelligent receiver adopted by the first node.

[0121] As an implementation method, the intelligent receiving function of the first node is related to one or more receiving end modules implemented by the receiver of the first node using an AI / ML model. In a wireless communication link, the first node can implement different intelligent receiving functions by using different intelligent receivers. For example, when the first node uses AI / ML technology for modulation identification and demodulation, the intelligent receiving function adopted by the first node is intelligent demodulation. For another example, when the first node uses AI / ML technology for modulation identification, demodulation and decoding, the intelligent receiving function adopted by the first node is intelligent demodulation and decoding. For another example, when the first node uses AI / ML technology for channel estimation, channel equalization, modulation identification and demodulation, the intelligent receiving function adopted by the first node is intelligent equalization and demodulation. For another example, when the first node uses AI / ML technology for intelligent end-to-end joint transmission and reception, the intelligent receiving function adopted by the first node is intelligent joint reception.

[0122] As an embodiment, the first intelligence level indicates that the first node adopts an AI / ML model for demodulation.

[0123] As an embodiment, the first intelligence level indicates that the first node adopts an AI / ML model for decoding.

[0124] As an embodiment, the first intelligence level indicates that the first node adopts an AI / ML model for joint demodulation and decoding.

[0125] As an embodiment, the first intelligence level indicates that the first node adopts an AI / ML model for intelligent equalization and demodulation.

[0126] As an embodiment, the first intelligence level indicates that the first node adopts an AI / ML model for intelligent end-to-end joint transmission and reception.

[0127] In some embodiments, the first intelligence level can correspond to at least one of the following information: capability category of the first node; category (class) or category index of the first node; user device category or user device category index corresponding to the first node; category of transceiver or transceiver category index adopted by the first node; category of receiver or receiver category index adopted by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; one or more function identifiers supported by the first node.

[0128] As an embodiment, the model can be replaced with an AI model, an ML model, an ML algorithm, an AI / ML model, etc.

[0129] In some embodiments, the first intelligence level may be associated with the capabilities of the first node. The capabilities of the first node may include the capabilities of the first node to perform wireless communications. For example, the capabilities of the first node may include the capabilities of the first node to receive and transmit wireless signals. For another example, the capabilities of the first node may include the predictive capabilities or computing capabilities of the first node after the introduction of an AI / ML model.

[0130] As an embodiment, the first intelligence level corresponds to the capability category of the first node. The system can be configured with multiple capability categories, so as to classify the terminal devices according to the capability information. The multiple capability categories correspond to multiple different AI intelligence levels.

[0131] As an embodiment, the first intelligence level is related to the capability of the first node.

[0132] As an embodiment, the first intelligence level is related to the user capability of the first node.

[0133] In some embodiments, the first intelligence level corresponds to a category or category index of the first node. That is, different node categories correspond to multiple different AI intelligence levels. The first intelligence level can be determined according to the category to which the first node belongs. The category to which the first node belongs can be related to information such as the scenario in which the first node is applied, the functions implemented, etc.

[0134] As an embodiment, the first intelligence level corresponds to a user equipment class (UE class) or a user equipment class index of the first node.

[0135] In the above embodiment, the system may configure multiple UE classes. The multiple UE classes correspond to multiple different AI intelligence levels. The first node may report the index of the UE class to which it belongs or the first intelligence level.

[0136] In some embodiments, the first intelligence level corresponds to a category or category index of the first transceiver or the first receiver. That is, different transceiver or receiver categories correspond to multiple different AI intelligence levels.

[0137] In some embodiments, the first intelligence level corresponds to one or more models supported by the first node. It can be seen that the model type and number of models supported by the first node can be used to determine the first intelligence level. The one or more models belong to models supported by the wireless communication link.

[0138] As an embodiment, one or more models supported by the first node may correspond to one or more model identifiers respectively.

[0139] In some embodiments, the first intelligence level corresponds to one or more function identifiers supported by the first node. The one or more function identifiers may be replaced with one or more AI / ML function identifiers. The number or type of function identifiers supported by the first node may be used to characterize the intelligence level of the first node side. As an example, the one or more function identifiers belong to function identifiers supported by the wireless communication link.

[0140] As an embodiment, the system may be configured with multiple AI / ML models or AI / ML function identifiers, and the first node may determine the corresponding AI intelligence level / level based on the multiple models or multiple function identifiers configured by the system.

[0141] The above describes various information associated with the first intelligence level. In some scenarios, the first intelligence level can be determined based on any combination of various information. For example, the first intelligence level can correspond to the category of the first node and one or more models supported by the first node.

[0142] In some embodiments, the first intelligence level may be one of a plurality of intelligence levels. The system may be configured with a plurality of intelligence levels, and nodes for communication may determine the supported AI intelligence level based on the same principle, thereby matching the appropriate control information format.

[0143] In some embodiments, at least one information corresponding to the first intelligence level is used to determine the first intelligence level from among a plurality of intelligence levels.

[0144] As an embodiment, the capability category of the first node is used to determine the first intelligence level from among the multiple intelligence levels.

[0145] As an embodiment, the category or category index of the first node is used to determine the first intelligence level from among the multiple intelligence levels.

[0146] As an embodiment, the user equipment category or the user equipment category index corresponding to the first node is used to determine the first intelligence level from the multiple intelligence levels.

[0147] As an embodiment, the category of the receiver or the receiver category index adopted by the first node is used to determine the first intelligence level from the multiple intelligence levels.

[0148] As an embodiment, the category of the transceiver or the transceiver category index adopted by the first node is used to determine the first intelligence level from the multiple intelligence levels.

[0149] As an embodiment, one or more models or model identifiers supported by the first node are used to determine the first intelligence level from the multiple intelligence levels.

[0150] As an embodiment, one or more function identifiers supported by the first node are used to determine the first intelligence level from among the multiple intelligence levels.

[0151] In some embodiments, multiple intelligence levels may respectively correspond to at least one of the following information: capability categories of multiple nodes; categories or category indexes of multiple nodes; user device categories or user device category indexes corresponding to multiple nodes; categories of transceivers or transceiver category indexes adopted by multiple nodes; categories of receivers or receiver category indexes adopted by multiple nodes; one or more models respectively supported by multiple nodes; one or more model identifiers respectively supported by multiple nodes; one or more function identifiers respectively supported by multiple nodes.

[0152] As an embodiment, the multiple intelligence levels correspond to multiple node categories or multiple node category indexes respectively.

[0153] As an embodiment, the multiple intelligence levels correspond to multiple user equipment classes (UE classes) or multiple user equipment class indexes respectively.

[0154] As an embodiment, the multiple intelligence levels correspond to multiple receiver categories or multiple receiver category indexes respectively.

[0155] As an embodiment, the multiple intelligence levels correspond to multiple transceiver categories or multiple transceiver category indexes respectively.

[0156] As an embodiment, the multiple intelligence levels correspond to multiple models or multiple model identifiers respectively.

[0157] As an embodiment, the multiple intelligence levels correspond to multiple function identifiers respectively.

[0158] In some embodiments, the first node may determine multiple intelligence levels of the system configuration through the first configuration signaling. As an example, the second node may indicate multiple intelligence levels through the first configuration signaling. The first node may receive the first configuration signaling and then determine the first intelligence level from the multiple intelligence levels according to the first configuration signaling.

[0159] As an embodiment, the first configuration signaling may include a correspondence between multiple intelligence levels and multiple information, so that the first node determines the first intelligence level according to the first configuration signaling and its own information.

[0160] As an embodiment, the capability information of the first node is determined according to the first configuration signaling. When the first configuration signaling indicates the correspondence between multiple intelligence levels and multiple capability information, the first node can determine the capability information of the first node and the first intelligence level corresponding to the capability information based on the multiple capability information in the first configuration signaling.

[0161] As an embodiment, the first configuration information indicates that the multiple intelligence levels correspond to multiple node categories or multiple node category indexes. The multiple node categories are used to determine the category and the first intelligence level of the first node; the multiple node category indexes are used to determine the category index and the first intelligence level of the first node.

[0162] As an embodiment, the first configuration signaling indicates that the multiple intelligence levels correspond to multiple transceiver categories or multiple transceiver category indexes. The multiple transceiver categories or category indexes are used to determine the category or category index of the first transceiver.

[0163] As an embodiment, the first configuration signaling indicates a correspondence between multiple intelligence levels and multiple node categories or node category indexes.

[0164] As an embodiment, the first configuration signaling indicates that multiple intelligence levels correspond to multiple receiver categories or multiple receiver category indexes. Multiple receiver categories or category indexes are used to determine the category or category index of the first receiver.

[0165] As an embodiment, the first configuration signaling indicates a correspondence between multiple intelligence levels and models or model identifiers supported by multiple nodes.

[0166] As an embodiment, the first configuration signaling indicates the correspondence between multiple intelligence levels and function identifiers supported by multiple nodes.

[0167] In some embodiments, the first node may support multiple intelligence levels. The first intelligence level may be one of the multiple intelligence levels supported by the first node. In this scenario, the first intelligence level indicated by the first information may include one or more intelligence levels.

[0168] The first information may indicate the first intelligence level in an implicit or explicit manner. In some embodiments, the first information may directly indicate the first intelligence level or a level index of the first intelligence level. In some embodiments, the first information may indicate information related to the first intelligence level so that a node receiving the first information determines the first intelligence level of the first node based on the first information.

[0169] In some embodiments, the first intelligence level may directly reflect the capability of the first node, so that the second node provides matching control information according to the capability of the first node. That is, the first information may include information related to the first energy-saving capability.

[0170] As an embodiment, the first information includes user capability (user equipment capability, UEcapability) information.

[0171] As an embodiment, the first information includes a user capability information element (UE capability information element, UE capability IE).

[0172] As an embodiment, the first information includes capability information of the first node, such as capability category of the first node.

[0173] As an embodiment, the first information is related to the capability limitation of the first node.

[0174] As an embodiment, the capability information reported by the first node may include the first information. In this scenario, the first node sending the first information may be replaced by the first node reporting the capability information. For example, the UE capability reported by the UE may include the AI ​​intelligence level / level of the UE, so the base station can determine the first information when receiving the capability information reported by the UE.

[0175] In some embodiments, the first information may include any one or more of the above-mentioned information characterizing the first intelligence level, thereby indicating the first intelligence level in an implicit manner. As an example, the first information may include a category or category index of the first node. As an example, the first information may include a capability category or category index of the first node. As an example, the first information may include a category or category index of the first transceiver or the first receiver. As an example, the first information may include one or more models or model identifiers supported by the first node. As an example, the first information may include one or more function identifiers supported by the first node.

[0176] In some embodiments, the first node may support multiple models. When the first node supports multiple AI / ML models, the first node needs to select a suitable AI / ML model for the wireless communication link, namely, the first AI / ML model. The intelligent receiving function that can be implemented by the first AI / ML model is the first intelligent receiving function.

[0177] As an embodiment, the first node may determine the first AI / ML model according to the configuration of the system. The system may be configured with multiple models or multiple function identifiers. The first node may determine the multiple models or multiple function identifiers configured by the system through the second configuration signaling.

[0178] As an example, the second node may indicate multiple models or multiple function identifiers through the second configuration signaling. The first node receives the second configuration signaling and selects the first AI / ML model from the multiple models or multiple function identifiers according to the second configuration signaling.

[0179] As an embodiment, the AI / ML model adopted by the first node is a first AI / ML model.

[0180] As an embodiment, the first AI / ML model is one of multiple candidate models.

[0181] As an embodiment, the intelligent receiving function adopted by the first node is a first intelligent receiving function.

[0182] As an embodiment, the first intelligent receiving function is one of a plurality of candidate intelligent receiving functions.

[0183] As an embodiment, the multiple candidate models include one of the following: an intelligent demodulation model, an intelligent decoding model, an intelligent demodulation and decoding model, an intelligent equalization and demodulation model, and an intelligent end-to-end joint reception model.

[0184] As an embodiment, the multiple candidate intelligent reception functions include one of the following: intelligent demodulation, intelligent decoding, intelligent demodulation and decoding, intelligent equalization and demodulation, and intelligent end-to-end joint reception.

[0185] In step S1120, the first node receives a first control signaling. The first node may receive the first control signaling sent by the second node. The first control signaling includes a first control information format.

[0186] As an embodiment, the first control signaling includes higher layer signaling, or the first control signaling is higher layer signaling.

[0187] As an embodiment, the first control signaling includes RRC layer signaling, or the first control signaling is RRC signaling.

[0188] As an embodiment, the first control signaling includes an RRC IE, or the first control signaling is an RRC IE.

[0189] As an embodiment, the first control signaling includes MAC layer signaling, or the first control signaling is MAC layer signaling.

[0190] As an embodiment, the first control signaling includes a MAC CE, or the first control signaling is a MAC CE.

[0191] As an embodiment, the first control signaling includes physical layer signaling, or the first control signaling is physical layer signaling.

[0192] As an embodiment, the first control signaling is a physical downlink control channel (PDCCH).

[0193] As an embodiment, the first control signaling is DCI.

[0194] As an embodiment, the first control signaling is sidelink control information (SCI).

[0195] In some embodiments, the second node sends the first control signaling based on the first control information format. The processing flow of the first control signaling includes at least one of the following: the first control information format is attached with a cyclic redundancy check (CRC), CRC scrambled, (source) channel coded, rate matched, scrambled, modulated, and mapped to physical resources. For the first node, after the first node detects the control signaling, it is necessary to determine whether the monitored control signaling is the first control signaling through blind detection.

[0196] As an embodiment, the processing flow of the first control signaling may refer to the DCI processing flow in the 3GPP related protocol. For example, the processing flow of the first control signaling may include part or all of the processing flow in the above-mentioned DCI processing flow.

[0197] As an embodiment, during the scrambling process, the radio network temporary identifier (RNTI) for scrambling is the first RNTI. That is, the first control signaling is scrambled by the first RNTI.

[0198] As an embodiment, after the first control information format is attached with CRC, the first RNTI is used to scramble the CRC. It can also be understood that the first RNTI scrambles the first control signaling.

[0199] As an embodiment, the processing flow of the first control signaling at the transmitting end and the detection flow at the receiving end can be referred to Figures 4 to 10 .

[0200] As an embodiment, the processing flow and detection flow of the first control signaling are related to the function of the AI / ML model adopted by the first node.

[0201] As an embodiment, the processing flow and detection flow of the first control signaling are related to the intelligent receiving function adopted by the first node.

[0202] In some embodiments, the first node may monitor one or more control signalings including the first control signaling. The first node needs to perform blind detection on all the monitored control signalings to determine the first control signaling.

[0203] In some embodiments, the content included in the first control signaling is determined according to the first control information format. The second node may determine the indication information in the first control signaling according to the first control information format.

[0204] The first control information format corresponds to the first intelligence level. That is, the first control information format is a control information format that matches the intelligence level of the first node. The first control information format can provide the first node with necessary control information to avoid or reduce control information redundancy.

[0205] In some embodiments, the first control information format may be associated with one or more intelligence levels including the first intelligence level. In some scenarios, multiple intelligence levels have different intelligence levels. The control information (i.e., necessary control information) that receivers of different intelligence levels need to receive is different. For example, a receiver with a higher intelligence level needs to receive less control information, while a receiver with a lower intelligence level needs to receive more control information. When the intelligence level of the first intelligence level is lower, the first control information format needs to send more control information. For a second intelligence level having an intelligence level higher than the first intelligence level, although the control information corresponding to the first control information format will produce a certain amount of information redundancy, it can meet the needs of the receiver corresponding to the second intelligence level.

[0206] As an embodiment, the first control information format is associated with one or more intelligence levels among a plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

[0207] As an embodiment, the first control information format is associated with one or more intelligence levels among a plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not higher than the intelligence level of the first intelligence level.

[0208] As an embodiment, multiple intelligence levels may be arranged in intelligence levels based on rules specified by the protocol.

[0209] As an example, multiple intelligence levels may be arranged in an intelligence ranking based on the amount or type of necessary control information.

[0210] The first control information format is one of a plurality of candidate control information formats. The plurality of candidate control information formats may include a traditional control information format or a newly designed control information format, which is not limited here.

[0211] As an embodiment, multiple candidate control information formats may be designed accordingly according to the capabilities of different nodes.

[0212] In some embodiments, multiple intelligence levels can be used for system design of corresponding control information formats. Taking the first intelligence level as an example, the first intelligence level can be used to determine the indication information of the first indication field included in the first control signaling, and / or the number of bits of the first indication field in the first control signaling.

[0213] As an embodiment, the first indication field may be all indication fields of the first control information format. The first control information format included in the first control signaling may be replaced by the first indication field included in the first control signaling.

[0214] As an embodiment, the first indication field included in the first control signaling may be one or more indication fields. The number of bits of the first indication field may be the number of bits corresponding to the one or more indication fields respectively.

[0215] As an embodiment, when the first intelligence level indicates that the first AI / ML model used by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0. That is, when the first node implements intelligent demodulation through the first AI / ML model, the control information sent by the second node may not include information related to the modulation standard, such as Figure 8 In this scenario, the first control information format may be the control information format shown in Table 4 below.

[0216] As an embodiment, when the first AI / ML model used by the first intelligence level indicator first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of information related to the coding standard in the first indication field is 0. That is, when the first node implements intelligent decoding through the first AI / ML model, the control information sent by the second node may not include information related to the coding standard, such as Figure 7 In this scenario, the first control information format may be the control information format shown in Table 3 below.

[0217] As an embodiment, when the first AI / ML model adopted by the first intelligence level indication first node is used for intelligent end-to-end transmission and reception, the first indication field does not include information related to the modulation standard, coding standard, and antenna port, or the number of bits of these related information in the first indication field is 0. That is to say, when the first node implements intelligent end-to-end transmission and reception through the first AI / ML model, the control information sent by the second node may not include information related to the modulation standard, coding standard, MIMO indication, etc., such as Fig.10 In this scenario, the first control information format may be the control information format shown in Table 5 below.

[0218] As an embodiment, the first control information format does not include information related to the modulation system. Modulating the first control signaling refers to carrying control information by changing certain parameters of the carrier signal. Information related to the modulation system may include the type of modulation system. The modulation system of the first control signaling may be one of binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), multiple quadrature amplitude modulation (QAM), etc. Multiple QAMs include 16QAM, 64QAM, 128QAM, etc.

[0219] As an embodiment, the first control information format does not include information related to the coding system. The encoding of the first control signaling includes source coding and channel coding. The information related to the coding system may include coding rate, redundancy version, HARQ process number, etc.

[0220] As an embodiment, the first control information format includes information related to the coding standard, and the first control information format does not include information related to the modulation standard.

[0221] As an embodiment, the first control information format includes information related to the modulation format, and the first control information format does not include information related to the coding format.

[0222] As an embodiment, the first control information format does not include information related to the modulation standard, and the first control information format does not include information related to the coding standard.

[0223] As an embodiment, the first control information format does not include precoding information and the number of layers.

[0224] As an embodiment, the first control information format does not include the second precoding information.

[0225] As an embodiment, the first control information format does not include information related to MIMO, such as antenna port information.

[0226] As an embodiment, the first control information format is a traditional control information format. For example, the first control information format may refer to any DCI format specified in a 3GPP related protocol.

[0227] As an embodiment, when the first control signaling is DCI, the first control information format can be one of DCI format 0_0, DCI format 0_1, DCI format 0_2, DCI format 0_3, DCI format 1_0, DCI format 1_1, DCI format 1_2, DCI format 1_3, DCI format 2_0, DCI format 2_1, DCI format 2_2, DCI format 2_3, DCI format 2_4, DCI format 2_5, DCI format 2_6, DCI format 2_7, DCI format 2_8, DCI format 2_9, DCI format 3_0, DCI format 3_1, DCI format 3_2, DCI format 4_0, DCI format 4_1, and DCI format 4_2.

[0228] In some embodiments, the plurality of intelligence levels corresponds to a plurality of candidate control information formats. A first intelligence level is used to determine a first control information format from the plurality of candidate control information formats.

[0229] As an embodiment, the first intelligence level is used to determine the first control information format.

[0230] As an embodiment, the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

[0231] As an embodiment, the first intelligence level corresponds only to the first control information format among the multiple candidate control information formats.

[0232] As an embodiment, a plurality of candidate control information formats may respectively include different indication fields to indicate different information.

[0233] As an embodiment, the number of bits corresponding to the same indication field in multiple candidate control information formats may be different to distinguish the formats.

[0234] As an embodiment, any candidate control information format among multiple candidate control information formats may include at least one of the following indication domains: frequency domain resource assignment, time domain resource assignment, new data indicator (NDI), modulation and coding system, redundancy version, HARQ process number (HARQ process number), precoding information and number of layers, second precoding information, antenna ports, modulation system, and coding scheme.

[0235] In the above embodiment, the indication field corresponding to the modulation format may indicate multiple modulation modes, for example, one of BPSK, QPSK, 16QAM, 64QAM, 128QAM, etc.

[0236] In the above embodiment, the indication field corresponding to the coding system can indicate multiple coding rates, for example: 1 / 2, 1 / 3, 1 / 4, . . . .

[0237] For ease of understanding, multiple candidate control information formats are exemplarily introduced below in conjunction with the embodiments of multiple control information formats shown in Tables 1 to 5. It should be understood that Tables 1 to 5 are only for illustrating the control information formats and are not limiting.

[0238] Example 1 of the control information format is shown in Table 1.

[0239] Table 1

[0240]

[0241]

[0242] The control information format shown in Table 1 is a traditional control information format. As shown in Table 1, the indication field of the control information format includes frequency domain resource allocation, time domain resource allocation, new data indication, modulation and coding system, redundancy version, and HARQ process number, and the corresponding number of bits is A1 bit, B1 bit, ..., F1 bit respectively.

[0243] Example 2 of the control information format is shown in Table 2.

[0244] Table 2

[0245] Number of bits domain name A2 bits Frequency Domain Resource Allocation B2 bits Time Domain Resource Allocation C2 bits New data indication D2 bits Modulation and coding system E2 bits Redundant version F2 bits HARQ process number G2 bits Precoding information and number of layers H2 bits The second precoding information I2 bits Antenna Port ...... ......

[0246] The control information format shown in Table 2 is still the traditional control information format. Compared with Table 1, the indicator field of the control information format in Table 2 also includes precoding information and the number of layers, the second precoding information, and the antenna port. The number of bits corresponding to the multiple indicator fields is A2 bits, B2 bits, ..., I2 bits respectively.

[0247] Example 3 of the control information format is shown in Table 3.

[0248] Table 3

[0249]

[0250] The control information format shown in Table 3 is a newly designed control information format. Compared with Table 1, firstly, the indication field of the control information format in Table 3 does not include the modulation coding system, but is replaced by the modulation system; secondly, the number of bits of the redundancy version and the HARQ process number is clearly 0 bits. In addition, the number of bits corresponding to the frequency domain resource allocation, time domain resource allocation, new data indication, and modulation system in Table 3 are A3 bits, B3 bits, C3 bits, and D3 bits, respectively.

[0251] Example 4 of the control information format is shown in Table 4.

[0252] Table 4

[0253] Number of bits domain name Instructions A4 bits Frequency Domain Resource Allocation B4 bits Time Domain Resource Allocation C4 bits New data indication D4 bits Coding format Indicates the coding rate, such as: 1 / 2, 1 / 3, 1 / 4, ... E4 bits Redundant version F4 bits HARQ process number ...... ......

[0254] The control information format shown in Table 4 is a newly designed control information format. Compared with Table 1, the indication field of the control information format in Table 3 does not include the modulation and coding system, but is replaced by the coding system. In Table 4, the number of bits corresponding to the frequency domain resource allocation, time domain resource allocation, new data indication, coding system, redundancy version, and HARQ process number are A4 bits, B4 bits, ..., F4 bits, respectively.

[0255] Example 5 of the control information format is shown in Table 5.

[0256] Table 5

[0257] Number of bits domain name A5 bits Frequency domain resource assignment B5 bits Time domain resource assignment C5 bits New data indicator (NDI) 0 bits Modulation and coding system 0 bits Redundant version 0 bits HARQ process number 0 bits Precoding information and number of layers 0 bits The second precoding information 0 bits Antenna Port ...... ......

[0258] The control information format shown in Table 5 is a newly designed control information format. Compared with Table 2, the modulation and coding system, redundancy version, HARQ process number, precoding information and layer number, second precoding information, and antenna port bit number in Table 5 are all clearly 0 bits. In addition, the number of bits corresponding to frequency domain resource allocation, time domain resource allocation, and new data indication in Table 5 are A5 bits, B5 bits, and C5 bits, respectively.

[0259] The above text introduces multiple candidate control information formats in combination with Tables 1 to 5. In some scenarios, as described above, multiple candidate control information formats can correspond to multiple intelligence levels respectively. In other scenarios, at least two of the multiple candidate control information formats can correspond to the same intelligence level. In other scenarios, one candidate control information format corresponds to at least two intelligence levels.

[0260] As an embodiment, the first intelligence level is used to determine the first control information format and the second control information format from the plurality of candidate control information formats.

[0261] As an embodiment, the first intelligence level corresponds to at least the first control information format among the multiple candidate control information formats.

[0262] As an embodiment, the first intelligence level corresponds to the first control information format among the multiple candidate control information formats, and the first intelligence level also corresponds to the second control information format among the multiple candidate control information formats.

[0263] In some embodiments, the first control information format is one of a first control information format group. The first control information format group is one of a plurality of candidate control information format groups. A plurality of intelligence levels correspond to the plurality of candidate control information format groups. The first intelligence level is used to determine the first control information format group from the plurality of candidate control information format groups.

[0264] As an embodiment, the multiple intelligence levels correspond one-to-one to the multiple candidate control information format groups.

[0265] As an embodiment, the first control information format group includes at least one control information format.

[0266] As an embodiment, CRC scrambling of the first control signaling is used to determine the first control information format from the first control information format group.

[0267] As an embodiment, each control information format group in the multiple candidate control information format groups contains the same number of control information formats.

[0268] As an embodiment, each control information format group in the plurality of candidate control information format groups contains a different number of control information formats.

[0269] As an embodiment, among the multiple candidate control information format groups, at least two control information format groups contain different numbers of control information formats.

[0270] As an embodiment, the correspondence between multiple intelligence levels and multiple candidate control information format groups can be seen in Table 6. The control information format group in Table 6 can provide necessary indication information or prior information for the AI / ML model on the first node side.

[0271] Table 6

[0272] AI Intelligence Level Control Information Format AI Intelligence Level #1 Control information format 1-1, ..., control information format 1-M AI Intelligence Level #2 Control information format 2-1, ..., control information format 2-M ...... ...... AI Intelligence Level #N Control information format N-1, ..., control information format NM

[0273] As can be seen from Table 6, the first intelligence level can be one of N AI intelligence levels. Each AI intelligence level corresponds to a candidate control information format group. Each candidate control information format group includes M control information formats. Wherein, M and N are both positive integers.

[0274] The first control signaling is used to instruct the first node to receive or send a wireless signal. Exemplarily, when the first control signaling schedules downlink data, the first node can receive the wireless signal according to the first control information. Exemplarily, when the first control signaling schedules uplink data, the first node can send the wireless signal according to the first control information.

[0275] As an embodiment, the first control signaling is used to instruct the first node to receive a wireless signal, including the first control signaling being used to schedule downlink data.

[0276] As an embodiment, the first control signaling is used to instruct the first node to receive a wireless signal, including the first control signaling being used to schedule a downlink data channel.

[0277] As an embodiment, the first control signaling is used to instruct the first node to receive a wireless signal, including the first control signaling being used to schedule a downlink channel.

[0278] As an embodiment, the first control signaling is used to instruct the first node to receive a wireless signal, including the first control signaling being used to schedule a PDSCH.

[0279] As an embodiment, the first control signaling is used to instruct the first node to send a wireless signal, including the first control signaling being used to schedule uplink data.

[0280] As an embodiment, the first control signaling is used to instruct the first node to send a wireless signal, including the first control signaling being used to schedule an uplink data channel.

[0281] As an embodiment, the first control signaling is used to instruct the first node to send a wireless signal, including the first control signaling being used to schedule an uplink channel.

[0282] As an embodiment, the first control signaling is used to instruct the first node to send a wireless signal, including the first control signaling being used to schedule a physical uplink shared channel (PUSCH).

[0283] As an embodiment, the wireless signal (radio signal) includes data.

[0284] As an embodiment, the wireless signal includes higher layer signaling.

[0285] As an embodiment, the wireless signal includes channel state information (CSI).

[0286] As an embodiment, the wireless signal includes HARQ information.

[0287] As an embodiment, the wireless signal includes a physical shared channel.

[0288] As an embodiment, the wireless signal includes PDSCH.

[0289] As an embodiment, the wireless signal includes PUSCH.

[0290] As an embodiment, the wireless signal is transmitted on PDSCH.

[0291] As an embodiment, the wireless signal is transmitted on PUSCH.

[0292] As an embodiment, the first control signaling is used to instruct the first node to perform PDSCH reception.

[0293] As an embodiment, the first control signaling is used to instruct the first node to send a PUSCH.

[0294] In some embodiments, the first node may monitor multiple control signalings within the time window for receiving the first control signaling. The first node needs to identify (blind detect) the control information format included in the control signaling to confirm the first control signaling.

[0295] As a possible implementation, different control information formats can be scrambled by different RNTIs, so that the first node can determine the first control signaling by identifying the RNTI. As an embodiment, different RNTIs can be associated with different intelligence levels. For example, multiple RNTIs are configured for multiple intelligence levels. When a certain RNTI is used to scramble the control information format, the first node can determine the corresponding AI intelligence level by identifying the RNTI, thereby monitoring the corresponding control information format.

[0296] As an embodiment, the first control signaling is scrambled by a first RNTI, and the first RNTI is associated with a first intelligence level.

[0297] As an embodiment, the first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

[0298] As another possible implementation, the second node may add a field in the control information format to indicate the control information format or the corresponding AI intelligence level, so that the first node can interpret the indications corresponding to each field in the control information format.

[0299] As an embodiment, the first control information format may include a second indication field, where the second indication field is used to indicate the first intelligence level.

[0300] As an embodiment, the first control information format may include a second indication field, and the second indication field is used to indicate the first control information format.

[0301] As an embodiment, the first control signaling includes a second indication field, and the second indication field is used to determine that the first control signaling includes the first control signaling.

[0302] Combination of the above Fig.11 The present invention introduces a method embodiment in which a first node indicates a first intelligence level to a second node, and the second node sends a first control signaling according to a first control information format corresponding to the first intelligence level. Fig.12 and Fig.13 Two possible implementations are described exemplarily. Fig.12 and Fig.13 The first node is a UE, and the second node is a base station.

[0303] Fig.12 An implementation method of the UE capability reported by the UE indicating the first intelligence level is shown. The UE directly sends the intelligence level or capability category to the base station, so that the base station provides a matching control information format according to the information reported by the UE.

[0304] In step S1210, the UE sends the AI ​​intelligence level / grade (first intelligence level) of the UE side or the UE capability category to the base station.

[0305] In step S1220, the base station sends a matched control information format, namely, a first control information format, to the UE. In other words, the base station matches the corresponding control information format according to the AI ​​intelligence level reported by the UE.

[0306] In step S1230, the UE and the base station transmit downlink data or uplink data. For example, the UE can call a suitable AI / ML model based on the monitored control information to perform AI / ML intelligent transmission and reception of uplink / downlink data.

[0307] Fig.13 An implementation method is shown in which the UE determines the first intelligence level according to multiple model / function identifiers sent by the base station. The base station may first send multiple intelligence level-related information to the UE, and the UE selects the intelligence level information that matches it from the multiple intelligence level-related information. Subsequently, the UE sends the selected information or intelligence level to the base station, and the control information format that facilitates the base station to provide matching.

[0308] In step S1310, the base station sends multiple AI / ML models or multiple AI / ML function identifiers to the UE.

[0309] In step S1320, the UE sends one or more AI / ML models or AI / ML function identifiers supported by the UE to the base station. For example, the UE can select one or more AI / ML models / function identifiers that match its AI intelligence level / level from multiple AI / ML models / function identifiers sent by the base station, and report them to the base station.

[0310] In step S1340, the base station sends a matching control information format, that is, a first control information format, to the UE.

[0311] In step S1350, the UE and the base station transmit downlink data or uplink data. For example, the UE can call a suitable AI / ML model based on the monitored control information to perform AI / ML intelligent transmission and reception of uplink / downlink data.

[0312] Combination of the above Figures 1 to 13 , describes the method embodiment of the present application in detail, and the following is combined with Figure 14 to Figure 15 , describes the device embodiment of the present application in detail. It should be understood that the description of the method embodiment corresponds to the description of the device embodiment, so the parts not described in detail can refer to the previous method embodiment.

[0313] Fig.14 A first node for wireless communication provided in an embodiment of the present application. Fig.14 As shown, the first node 1400 includes a first transmitter 1410 and a first receiver 1420 .

[0314] The first transmitter 1410 may be configured to send first information, where the first information is used to indicate a first intelligence level.

[0315] The first receiver 1420 can be used to receive a first control signaling; wherein the first control signaling includes a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send a wireless signal.

[0316] As an embodiment, the first intelligence level indicates functions related to the AI ​​and / or ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

[0317] As an embodiment, the first intelligence level is one of a plurality of intelligence levels, the plurality of intelligence levels correspond to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

[0318] As an embodiment, the first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

[0319] As an embodiment, the first intelligence level corresponds to at least one of the following information: a capability category of the first node;

[0320] The category or category index of the first node; the category of user equipment or the category index of user equipment corresponding to the first node; the category of the receiver or the category index of the receiver adopted by the first node; the category of the transceiver or the category index of the transceiver adopted by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; one or more function identifiers supported by the first node.

[0321] As an embodiment, the first receiver 1420 is further used to receive a first configuration signaling; the first node also includes a first processor, used to determine the first intelligence level from a plurality of intelligence levels; wherein the first configuration signaling is used to indicate the plurality of intelligence levels.

[0322] As an embodiment, the first receiver 1420 is also used to receive a second configuration signaling; the first node also includes a second processor, which can be used to determine a first AI / ML model from multiple models or multiple function identifiers; wherein the second configuration signaling is used to indicate the multiple models or the multiple function identifiers.

[0323] As an embodiment, the first intelligence level is used to determine the indication information of the first indication field included in the first control signaling, and / or the number of bits of the first indication field in the first control signaling.

[0324] As an embodiment, when the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

[0325] As an embodiment, when the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

[0326] As an embodiment, the first control signaling is scrambled by a first RNTI, and the first RNTI is associated with the first intelligence level.

[0327] As an embodiment, the first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

[0328] As an embodiment, the first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

[0329] As an embodiment, the first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

[0330] As an embodiment, the first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

[0331] As an embodiment, the first transmitter 1410 and the first receiver 1420 may be a transceiver 1630, and the first node 1400 may further include a processor 1610 and a memory 1620, as shown in FIG. Fig.16 shown.

[0332] Fig.15 A second node for wireless communication provided in an embodiment of the present application. Fig.15 As shown, the second node 1500 includes a second receiver 1510 and a second transmitter 1520 .

[0333] The second receiver 1510 may be configured to receive first information, where the first information is used to indicate a first intelligence level.

[0334] The second transmitter 1520 can be used to send a first control signaling; wherein the first control signaling includes a first control information format, the first control information format is one of multiple candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

[0335] As an embodiment, the first intelligence level indicates functions related to the AI ​​and / or ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

[0336] As an embodiment, the first intelligence level is one of a plurality of intelligence levels, the plurality of intelligence levels correspond to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

[0337] As an embodiment, the first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

[0338] As an embodiment, the first intelligence level corresponds to at least one of the following information: capability category of the first node; category or category index of the first node; user equipment category or user equipment category index corresponding to the first node; category of the receiver used by the first node or receiver category index; category of the transceiver used by the first node or transceiver category index; one or more models supported by the first node; one or more model identifiers supported by the first node; one or more function identifiers supported by the first node.

[0339] As an embodiment, the second transmitter 1520 is further used to send a first configuration signaling; wherein the first configuration signaling is used to indicate the multiple intelligence levels, and the multiple intelligence levels are used by the first node to determine the first intelligence level.

[0340] As an embodiment, the second transmitter 1520 is also used to send a second configuration signaling; wherein, the second configuration signaling is used to indicate the multiple models or the multiple function identifiers, and the multiple models or the multiple function identifiers are used by the first node to determine the first AI / ML model.

[0341] As an embodiment, the first intelligence level is used to determine the indication information of the first indication field included in the first control signaling, and / or the number of bits of the first indication field in the first control signaling.

[0342] As an embodiment, when the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

[0343] As an embodiment, when the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

[0344] As an embodiment, the first control signaling is scrambled by a first RNTI, and the first RNTI is associated with the first intelligence level.

[0345] As an embodiment, the first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

[0346] As an embodiment, the first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

[0347] As an embodiment, the first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

[0348] As an embodiment, the first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

[0349] As an embodiment, the second receiver 1510 and the second transmitter 1520 may be a transceiver 1630, and the second node 1500 may further include a processor 1610 and a memory 1620, as shown in FIG. Fig.16 shown.

[0350] Fig.16 It is a schematic structural diagram of a communication device according to an embodiment of the present application. Fig.16 The dotted line in the figure indicates that the unit or module is optional. The device 1600 can be used to implement the method described in the above method embodiment. The device 1600 can be a chip, a user equipment or a network device.

[0351] The device 1600 may include one or more processors 1610. The processor 1610 may support the device 1600 to implement the method described in the method embodiment above. The processor 1610 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0352] The apparatus 1600 may further include one or more memories 1620. The memory 1620 stores a program, which can be executed by the processor 1610, so that the processor 1610 executes the method described in the above method embodiment. The memory 1620 may be independent of the processor 1610 or integrated in the processor 1610.

[0353] The apparatus 1600 may further include a transceiver 1630. The processor 1610 may communicate with other devices or chips through the transceiver 1630. For example, the processor 1610 may transmit and receive data with other devices or chips through the transceiver 1630.

[0354] Fig.17 A schematic diagram of the hardware modules of a communication device provided in an embodiment of the present application. Specifically, Fig.17 A block diagram is shown of a first communication device 1750 and a second communication device 1710 communicating with each other in an access network.

[0355] The first communication device 1750 includes a controller / processor 1759, a memory 1760, a data source 1767, a transmit processor 1768, a receive processor 1756, a multi-antenna transmit processor 1757, a multi-antenna receive processor 1758, a transmitter / receiver 1754 and an antenna 1752.

[0356] The second communication device 1710 includes a controller / processor 1775, a memory 1776, a data source 1777, a receive processor 1770, a transmit processor 1716, a multi-antenna receive processor 1772, a multi-antenna transmit processor 1771, a transmitter / receiver 1718 and an antenna 1720.

[0357] In the transmission from the second communication device 1710 to the first communication device 1750, at the second communication device 1710, the upper layer data packet from the core network or the upper layer data packet from the data source 1777 is provided to the controller / processor 1775. The core network and the data source 1777 represent all the protocol layers above the L2 layer. The controller / processor 1775 implements the functionality of the L2 layer. In the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1775 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and allocation of radio resources to the first communication device 1750 based on various priority metrics. The controller / processor 1775 is also responsible for the retransmission of lost packets and signaling to the first communication device 1750. The transmit processor 1716 and the multi-antenna transmit processor 1771 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 1716 implements coding and interleaving to facilitate forward error correction at the second communication device 1710, as well as mapping of signal constellations based on various modulation schemes (e.g., binary phase shift keying, quadrature phase shift keying, M phase shift keying, M quadrature amplitude modulation). The multi-antenna transmit processor 1771 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more spatial streams. The transmit processor 1716 then maps each spatial stream to a subcarrier, multiplexes with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform to generate a physical channel carrying a time domain multi-carrier symbol stream. The multi-antenna transmit processor 1771 then performs a transmit analog precoding / beamforming operation on the time domain multi-carrier symbol stream. Each transmitter 1718 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 1771 into a radio frequency stream, and then provides it to a different antenna 1720.

[0358] In the transmission from the second communication device 1710 to the first communication device 1750, at the first communication device 1750, each receiver 1754 receives a signal through its corresponding antenna 1752. Each receiver 1754 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 1756. The receiving processor 1756 and the multi-antenna receiving processor 1758 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 1758 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 1754. The receiving processor 1756 uses a fast Fourier transform to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 1756, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 1758 to any spatial stream with the first communication device 1750 as the destination. The symbols on each spatial stream are demodulated and recovered in the receiving processor 1756, and soft decisions are generated. The receiving processor 1756 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 1710 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 1759. The controller / processor 1759 implements the functions of the L2 layer. The controller / processor 1759 may be associated with a memory 1760 that stores program codes and data. The memory 1760 may be referred to as a computer-readable medium. In the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1759 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper layer data packets from the second communication device 1710. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing.

[0359] In the transmission from the first communication device 1750 to the second communication device 1710, at the first communication device 1750, the upper layer data packets are provided to the controller / processor 1759 using the data source 1767. The data source 1767 represents all the protocol layers above the L2 layer. Similar to the transmission function at the second communication device 1710 described in the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1759 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels, and implements L2 layer functions for user plane and control plane. The controller / processor 1759 is also responsible for the retransmission of lost packets and signaling to the second communication device 1710. The transmit processor 1768 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 1757 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 1768 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 1752 via the transmitter 1754 after analog precoding / beamforming operations in the multi-antenna transmit processor 1757. Each transmitter 1754 first converts the baseband symbol stream provided by the multi-antenna transmit processor 1757 into a radio frequency symbol stream, and then provides it to the antenna 1752.

[0360] In the transmission from the first communication device 1750 to the second communication device 1710, the function at the second communication device 1710 is similar to the reception function at the first communication device 1750 described in the transmission from the second communication device 1710 to the first communication device 1750. Each receiver 1718 receives a radio frequency signal through its corresponding antenna 1720, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 1772 and the reception processor 1770. The reception processor 1770 and the multi-antenna reception processor 1772 jointly implement the functions of the L1 layer. The controller / processor 1775 implements the L2 layer functions. The controller / processor 1775 can be associated with a memory 1776 that stores program codes and data. The memory 1776 can be referred to as a computer-readable medium. In transmission from the first communication device 1750 to the second communication device 1710, the controller / processor 1775 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover upper layer data packets from the first communication device 1750. The upper layer data packets from the controller / processor 1775 can be provided to the core network or all protocol layers above the L2 layer, and various control signals can also be provided to the core network or L3 for L3 processing.

[0361] As an embodiment, the first communication device 1750 apparatus includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor, and the first communication device 1750 apparatus at least: sends first information, the first information indicates a first intelligence level; receives first control signaling; wherein the first control signaling includes a first control information format, the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send a wireless signal.

[0362] As an embodiment, the first communication device 1750 apparatus includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates an action when executed by at least one processor, and the action includes: sending a first information, wherein the first information indicates a first intelligence level; receiving a first control signaling; wherein the first control signaling includes a first control information format, wherein the first control information format is one of a plurality of candidate control information formats, and the first intelligence level corresponds to the first control information format; and the first control signaling is used to instruct the first node to receive a wireless signal or send a wireless signal.

[0363] As an embodiment, the first communication device 1750 corresponds to the first node in this application.

[0364] As an embodiment, the second communication device 1710 corresponds to the second node in this application.

[0365] As an embodiment, the first communication device 1750 is a terminal device, which can serve as a relay node.

[0366] As an embodiment, the first communication device 1750 is a terminal device supporting V2X, which can serve as a relay node.

[0367] As an embodiment, the first communication device 1750 is a terminal device supporting D2D, and the terminal device can serve as a relay node.

[0368] As an embodiment, the first communication device 1750 is a network control relay NCR.

[0369] As an embodiment, the first communication device 1750 is a relay wireless repeater.

[0370] As an embodiment, the first communication device 1750 is a relay.

[0371] As an embodiment, the second communication device 1710 is a base station.

[0372] As an embodiment, the antenna 1752, the transmitter 1754, the multi-antenna transmit processor 1757, the transmit processor 1768, and the controller / processor 1759 are used to send first information.

[0373] As an embodiment, the antenna 1752, the receiver 1754, the multi-antenna receiving processor 1758, the receiving processor 1756, and the controller / processor 1759 are used to receive the first control signaling.

[0374] As an embodiment, the antenna 1720, the receiver 1718, the multi-antenna reception processor 1772, the reception processor 1770, and the controller / processor 1775 are used to receive first information.

[0375] As an embodiment, the antenna 1720, the transmitter 1718, the multi-antenna transmit processor 1771, the transmit processor 1716, and the controller / processor 1775 are used to send a first control signaling.

[0376] The present application also provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to a terminal or network device provided in the present application, and the program enables a computer to execute the method performed by the terminal device or network device in each embodiment of the present application.

[0377] The embodiment of the present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to the terminal or network device provided in the embodiment of the present application, and the program enables the computer to execute the method performed by the terminal device or network device in each embodiment of the present application.

[0378] The embodiment of the present application also provides a computer program. The computer program can be applied to the terminal or network device provided in the embodiment of the present application, and the computer program enables a computer to execute the method executed by the terminal device or network device in each embodiment of the present application.

[0379] It should be understood that the terms "system" and "network" in this application can be used interchangeably. In addition, the terms used in this application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application. The terms "first", "second", "third" and "fourth" in the specification and claims of this application and the accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions.

[0380] In the embodiments of the present application, the "indication" mentioned can be a direct indication, an indirect indication, or an indication of an association relationship. For example, A indicates B, which can mean that A directly indicates B, for example, B can be obtained through A; it can also mean that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; it can also mean that there is an association relationship between A and B.

[0381] In the embodiment of the present application, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0382] In the embodiments of the present application, the term "corresponding" may indicate that there is a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship of indication and being indicated, configuration and being configured, etc.

[0383] In the embodiments of the present application, "pre-definition" or "pre-configuration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in a device (for example, including a user device and a network device), and the present application does not limit the specific implementation method. For example, pre-definition can refer to what is defined in the protocol.

[0384] In the embodiments of the present application, the “protocol” may refer to a standard protocol in the communication field, for example, it may include an LTE protocol, an NR protocol, and related protocols used in future communication systems, and the present application does not limit this.

[0385] In the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0386] In various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0387] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0388] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0389] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0390] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0391] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The first node in the present application includes but is not limited to mobile phones, tablet computers, notebooks, Internet cards, low-power devices, enhanced machine-type communication (enhanced machine-type communication, eMTC) devices, narrowband Internet of Things (narrow band internet of things, NB-IoT) devices, vehicle-mounted communication devices, aircraft, airplanes, drones, remote-controlled aircraft and other wireless communication devices. The second node in the present application includes but is not limited to mobile phones, tablet computers, notebooks, Internet cards, low-power devices, eMTC devices, NB-IoT devices, vehicle-mounted communication devices, aircraft, airplanes, drones, remote-controlled aircraft and other wireless communication devices. The user equipment or UE or terminal in this application includes but is not limited to mobile phones, tablet computers, notebooks, network cards, low-power devices, eMTC devices, NB-IoT devices, vehicle-mounted communication equipment, aircraft, airplanes, drones, remote-controlled airplanes and other wireless communication devices. The base station equipment or base station or network-side equipment in this application includes but is not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, eNB, gNB, TRP, global navigation satellite system (GNSS), relay satellites, satellite base stations, aerial base stations and other wireless communication devices.

[0392] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method in a first node for wireless communication, characterized in that include: sending first information, wherein the first information indicates a first intelligence level; receiving a first control signaling; Among them, the first control signaling includes a first control information format, the first control information format is one of multiple candidate control information formats, the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

2. The method according to claim 1, characterized in that The first intelligence level indicates functions related to the artificial intelligence AI and / or machine learning ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

3. The method according to claim 1 or 2, characterized in that: The first intelligence level is one of a plurality of intelligence levels corresponding to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

4. The method according to claim 1 or 2, characterized in that: The first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

5. The method according to any one of claims 1 to 4, characterized in that The first intelligence level corresponds to at least one of the following information: A capability category of the first node; The category or category index of the first node; A user equipment category or a user equipment category index corresponding to the first node; a category of a receiver or a receiver category index used by the first node; A type of transceiver or a transceiver type index used by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; One or more function identifiers supported by the first node.

6. The method according to any one of claims 1 to 5, characterized in that include: receiving a first configuration signaling; determining the first intelligence level from a plurality of intelligence levels; The first configuration signaling is used to indicate the multiple intelligence levels.

7. The method according to any one of claims 1 to 6, characterized in that include: receiving a second configuration signaling; Determining a first AI / ML model from among the plurality of models or the plurality of function identifiers; The second configuration signaling is used to indicate the multiple models or the multiple function identifiers.

8. The method according to any one of claims 1 to 7, characterized in that The first intelligence level is used to determine indication information of a first indication field included in the first control signaling and / or the number of bits of the first indication field in the first control signaling.

9. The method according to claim 8, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

10. The method according to claim 8, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

11. The method according to any one of claims 1 to 10, characterized in that The first control signaling is scrambled by a first radio network temporary identifier RNTI, and the first RNTI is associated with the first intelligence level.

12. The method according to claim 11, characterized in that The first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

13. The method according to any one of claims 1 to 10, characterized in that The first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

14. The method according to claim 13, characterized in that The first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

15. The method according to any one of claims 1 to 14, characterized in that The first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

16. A method in a second node for wireless communication, characterized in that: include: receiving first information indicating a first intelligence level; Sending a first control signaling; The first control signaling includes a first control information format, the first control information format is one of a plurality of candidate control information formats, the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

17. The method according to claim 16, characterized in that The first intelligence level indicates functions related to the artificial intelligence AI and / or machine learning ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

18. The method according to claim 16 or 17, characterized in that The first intelligence level is one of a plurality of intelligence levels corresponding to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

19. The method according to claim 16 or 17, characterized in that The first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

20. The method according to any one of claims 16 to 19, characterized in that The first intelligence level corresponds to at least one of the following information: A capability category of the first node; The category or category index of the first node; A user equipment category or a user equipment category index corresponding to the first node; a category of a receiver or a receiver category index used by the first node; A type of transceiver or a transceiver type index used by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; One or more function identifiers supported by the first node.

21. The method according to any one of claims 16 to 20, characterized in that include: Sending a first configuration signaling; The first configuration signaling is used to indicate a plurality of intelligence levels, and the plurality of intelligence levels are used by the first node to determine the first intelligence level.

22. The method according to any one of claims 16 to 21, characterized in that include: Sending a second configuration signaling; The second configuration signaling is used to indicate multiple models or multiple function identifiers, and the multiple models or the multiple function identifiers are used by the first node to determine the first AI / ML model.

23. The method according to any one of claims 16 to 22, characterized in that The first intelligence level is used to determine indication information of a first indication field included in the first control signaling and / or the number of bits of the first indication field in the first control signaling.

24. The method according to claim 23, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

25. The method according to claim 23, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

26. The method according to any one of claims 16 to 25, characterized in that The first control signaling is scrambled by a first radio network temporary identifier RNTI, and the first RNTI is associated with the first intelligence level.

27. The method according to claim 26, characterized in that The first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

28. The method according to any one of claims 16 to 25, characterized in that The first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

29. The method according to claim 28, characterized in that The first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

30. The method according to any one of claims 16 to 29, characterized in that The first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

31. A first node for wireless communication, characterized in that: include: A first transmitter, configured to send first information, wherein the first information indicates a first intelligence level; A first receiver, configured to receive a first control signaling; Among them, the first control signaling includes a first control information format, the first control information format is one of multiple candidate control information formats, the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

32. The first node according to claim 31, characterized in that The first intelligence level indicates functions related to the artificial intelligence AI and / or machine learning ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

33. The first node according to claim 31 or 32, characterized in that: The first intelligence level is one of a plurality of intelligence levels corresponding to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

34. The first node according to claim 31 or 32, characterized in that: The first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

35. The first node according to any one of claims 31-34, characterized in that: The first intelligence level corresponds to at least one of the following information: A capability category of the first node; The category or category index of the first node; A user equipment category or a user equipment category index corresponding to the first node; a category of a receiver or a receiver category index used by the first node; A type of transceiver or a transceiver type index used by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; One or more function identifiers supported by the first node.

36. The first node according to any one of claims 31-35, characterized in that: The first receiver is further configured to receive a first configuration signaling; and the first node further comprises: a first processor, configured to determine the first intelligence level from a plurality of intelligence levels; The first configuration signaling is used to indicate the multiple intelligence levels.

37. The first node according to any one of claims 31-36, characterized in that: The first receiver is further configured to receive a second configuration signaling; and the first node further comprises: a second processor, configured to determine a first AI / ML model from among the plurality of models or the plurality of function identifiers; The second configuration signaling is used to indicate the multiple models or the multiple function identifiers.

38. The first node according to any one of claims 31-37, characterized in that: The first intelligence level is used to determine indication information of a first indication field included in the first control signaling and / or the number of bits of the first indication field in the first control signaling.

39. The first node according to claim 38, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

40. The first node according to claim 38, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

41. The first node according to any one of claims 31-40, characterized in that: The first control signaling is scrambled by a first radio network temporary identifier RNTI, and the first RNTI is associated with the first intelligence level.

42. The first node according to claim 41, characterized in that The first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

43. The first node according to any one of claims 31-40, characterized in that: The first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

44. The first node according to claim 43, characterized in that The first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

45. The first node according to any one of claims 31-44, characterized in that: The first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

46. ​​A second node for wireless communication, characterized in that: include: a second receiver for receiving first information indicating a first intelligence level; A second transmitter, used to send a first control signaling; The first control signaling includes a first control information format, the first control information format is one of a plurality of candidate control information formats, the first intelligence level corresponds to the first control information format; the first control signaling is used to instruct the first node to receive or send wireless signals.

47. The second node according to claim 46, characterized in that The first intelligence level indicates functions related to the artificial intelligence AI and / or machine learning ML model adopted by the first node, or the first intelligence level indicates an intelligent receiving function adopted by the first node.

48. The second node according to claim 46 or 47, characterized in that: The first intelligence level is one of a plurality of intelligence levels corresponding to the plurality of candidate control information formats, and the first intelligence level is used to determine the first control information format from the plurality of candidate control information formats.

49. The second node according to claim 46 or 47, characterized in that: The first intelligence level is one of multiple intelligence levels, the first control information format is one of a first control information format group, the first control information format group is one of multiple candidate control information format groups, the multiple intelligence levels correspond to the multiple candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the multiple candidate control information format groups.

50. The second node according to any one of claims 46-49, characterized in that: The first intelligence level corresponds to at least one of the following information: A capability category of the first node; The category or category index of the first node; A user equipment category or a user equipment category index corresponding to the first node; a category of a receiver or a receiver category index used by the first node; A type of transceiver or a transceiver type index used by the first node; one or more models supported by the first node; one or more model identifiers supported by the first node; One or more function identifiers supported by the first node.

51. The second node according to any one of claims 46-50, characterized in that: The second transmitter is further used to send a first configuration signaling; wherein the first configuration signaling is used to indicate a plurality of intelligence levels, and the plurality of intelligence levels are used by the first node to determine the first intelligence level.

52. The second node according to any one of claims 46 to 51, characterized in that: The second transmitter is also used to send a second configuration signaling; wherein the second configuration signaling is used to indicate multiple models or multiple function identifiers, and the multiple models or the multiple function identifiers are used by the first node to determine the first AI / ML model.

53. The second node according to any one of claims 46-52, characterized in that: The first intelligence level is used to determine indication information of a first indication field included in the first control signaling and / or the number of bits of the first indication field in the first control signaling.

54. The second node according to claim 53, characterized in that: When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for demodulation, the first indication field does not include information related to the modulation standard, or the number of bits of the information related to the modulation standard in the first indication field is 0.

55. The second node according to claim 53, characterized in that When the first intelligence level indicates that the first AI / ML model adopted by the first node is used for decoding, the first indication field does not include information related to the coding standard, or the number of bits of the information related to the coding standard in the first indication field is 0.

56. The second node according to any one of claims 46-55, characterized in that: The first control signaling is scrambled by a first radio network temporary identifier RNTI, and the first RNTI is associated with the first intelligence level.

57. The second node according to claim 56, characterized in that The first control signaling is one of one or more control signalings monitored by the first node, and the first RNTI is used to determine the first control signaling from the one or more control signalings.

58. The second node according to any one of claims 46-55, characterized in that: The first control information format includes a second indication field, and the second indication field is used to indicate the first intelligence level or the first control information format.

59. The second node according to claim 58, characterized in that The first control signaling includes the second indication field, and the second indication field is used to determine that the first control signaling includes the first control information format.

60. The second node according to any one of claims 46-59, characterized in that: The first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more intelligence levels of the plurality of intelligence levels, and the intelligence levels of the one or more intelligence levels are not lower than the intelligence level of the first intelligence level.

61. A node used for wireless communication, characterized in that: It includes a transceiver, a memory and a processor, wherein the memory is used to store programs, and the processor is used to call the programs in the memory and control the transceiver to receive or send signals so that the node executes the method as described in any one of claims 1-15 or 16-30.

62. A device, characterized in that It comprises a processor, which is used to call a program from a memory so that the device executes the method as described in any one of claims 1-15 or 16-30.

63. A chip, characterized in that: It comprises a processor, which is used to call a program from a memory, so that a device equipped with the chip executes the method as described in any one of claims 1-15 or 16-30.

64. A computer-readable storage medium, characterized in that A program is stored thereon, the program causing a computer to execute the method according to any one of claims 1-15 or 16-30.

65. A computer program product, characterized in that The method comprises a program which causes a computer to execute the method according to any one of claims 1 to 15 or 16 to 30.

66. A computer program, characterized in that The computer program causes a computer to execute the method according to any one of claims 1-15 or 16-30.

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