Method and apparatus for use in node for wireless communication

Abstract

A method and apparatus for use in a node for wireless communication are provided, to reduce signaling overhead. The method comprises: sending first information, the first information indicating a first intelligence level; and receiving first control signaling, the first control signaling comprising a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format, and the first control signaling being used to instruct a first node to receive a wireless signal or send a wireless signal.

Description

Methods and apparatus for nodes used in wireless communication Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a method and apparatus for a node used in wireless communication. Background Technology

[0002] With the introduction of artificial intelligence (AI) technology into wireless communication links, the functional modules of the transmitting and receiving ends can be jointly designed based on models. However, traditional control information indication methods are not suitable for future AI-powered transceivers. Therefore, how to provide necessary control information indications for AI-powered transceivers to improve resource utilization efficiency has become a technical problem that needs to be solved. Summary of the Invention

[0003] This application provides a method and apparatus for use in a node for wireless communication. Various aspects of this application will be described below.

[0004] In a first aspect, a method is provided for a first node in wireless communication, comprising: transmitting first information, the first information indicating a first intelligence level; receiving first control signaling; wherein the first control signaling includes a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format; and the first control signaling being used to instruct the first node to perform wireless signal reception or wireless signal transmission.

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

[0006] Thirdly, a first node for wireless communication is provided, comprising: a first transmitter for transmitting first information, the first information indicating a first intelligence level; a first receiver for receiving first control signaling; wherein the first control signaling includes a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format; the first control signaling is used to instruct the first node to perform wireless signal reception or wireless signal transmission.

[0007] Fourthly, a second node for wireless communication is provided, comprising: a second receiver for receiving first information, the first information indicating a first intelligence level; a second transmitter for transmitting first control signaling; wherein the first control signaling includes a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format; and the first control signaling being used to instruct a first node to receive or transmit wireless signals.

[0008] Fifthly, a first node for wireless communication is provided, comprising a transceiver, a memory, and a processor, wherein the memory stores a program, the processor invokes the program in the memory, and controls the transceiver to receive or transmit signals to cause the first node to perform the method as described in the first aspect.

[0009] In a sixth aspect, a second node for wireless communication is provided, comprising a transceiver, a memory, and a processor, wherein the memory stores a program, the processor invokes the program in the memory, and controls the transceiver to receive or transmit signals to cause the second node to perform the method as described in the second aspect.

[0010] In a seventh aspect, embodiments of this application provide a communication system including the aforementioned first node and / or second node. In another possible design, the system may further include other devices that interact with the first node or second node as described in the embodiments of this application.

[0011] Eighthly, embodiments of this application provide a computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps in the methods described above.

[0012] Ninthly, embodiments of this application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of the methods described in the foregoing aspects. In some implementations, the computer program product may be a software installation package.

[0013] In a tenth aspect, embodiments of this application provide a chip including a memory and a processor, the processor being able to call and run a computer program from the memory to implement some or all of the steps described in the methods of the foregoing aspects.

[0014] In this embodiment, the first node can 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. Therefore, the second node can provide control information matching the first node's AI intelligence level, which helps avoid control information redundancy, reduce signaling overhead, and thus improve resource utilization efficiency.

[0015] In this embodiment, the first control signaling includes a first control information format that is one of multiple candidate control information formats. Therefore, when the second node sends control signaling, it can flexibly configure the control information 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, thereby providing necessary control information instructions for the AI-inherent intelligent transceiver of the first node and optimizing resource utilization efficiency. Attached Figure Description

[0016] Figure 1 is a system architecture example diagram of a wireless communication system applicable to embodiments of this application.

[0017] Figure 2 is a schematic diagram of a network architecture applicable to embodiments of this application.

[0018] Figures 3A and 3B are schematic diagrams of wireless protocol stack structures applicable to embodiments of this application.

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

[0020] Figure 5 is a schematic diagram of a source-channel joint coding framework applicable to embodiments of this application.

[0021] Figure 6 is a schematic diagram of a wireless communication link applicable to embodiments of this application.

[0022] Figure 7 is a schematic diagram of another wireless communication link that can be applied to embodiments of this application.

[0023] Figure 8 is a schematic diagram of another wireless communication link applicable to embodiments of this application.

[0024] Figure 9 is a schematic diagram of another wireless communication link applicable to embodiments of this application.

[0025] Figure 10 is a schematic diagram of another wireless communication link applicable to embodiments of this application.

[0026] Figure 11 is a flowchart illustrating a method for a first node in wireless communication according to an embodiment of this application.

[0027] Figure 12 is a flowchart illustrating one possible implementation of the method shown in Figure 11.

[0028] Figure 13 is a flowchart illustrating another possible implementation of the method shown in Figure 11.

[0029] Figure 14 is a schematic diagram of the structure of the first node for wireless communication provided in an embodiment of this application.

[0030] Figure 15 is a schematic diagram of the structure of the second node for wireless communication provided in an embodiment of this application.

[0031] Figure 16 is a schematic structural diagram of the device provided in an embodiment of this application.

[0032] Figure 17 is a schematic diagram of the hardware module of the communication device provided in the embodiment of this application. Detailed Implementation

[0033] The technical solutions in this application will now be described with reference to the accompanying drawings.

[0034] Figure 1 is a system architecture example diagram of a wireless communication system 100 applicable to embodiments of this application. 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 within that coverage area.

[0035] Figure 1 exemplarily illustrates a network device and multiple terminal devices, such as 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 numbers of terminal devices within its coverage area; this application embodiment does not limit this.

[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 this embodiment.

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

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

[0039] The network device in this application embodiment can be a device for communicating with terminal devices. This network device can also be called an access network device or a radio access network device, such as a base station (BS). In this application embodiment, the network device can refer to a radio access network (RAN) node (or device) that connects user equipment to a wireless network. A base station can broadly encompass, or be replaced by, various names including: 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-mode radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, micro base station, relay node, donor node, or similar, or a combination thereof. A base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus. Base stations can also be mobile switching centers, devices that perform base station functions in D2D, V2X, and machine-to-machine (M2M) communications, network-side devices in 6G networks, and devices that perform base station functions in future communication systems. Base stations can support networks using the same or different access technologies. The embodiments of this application do not limit the specific technologies or device forms used in the network equipment.

[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 depending on the location of the mobile base station. In other examples, a helicopter or drone can be configured as a device to communicate with another base station.

[0041] In some deployments, the network device in this application embodiment may refer to a CU or a DU, or the network device may include both a CU and a DU. The gNB may also include an AAU.

[0042] Network devices and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; and they can also be deployed in the air on airplanes, balloons, and satellites. This application does not limit the scenario in which the network devices and terminal devices are located.

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

[0044] Figure 2 illustrates a schematic diagram of a network architecture 200 according to an embodiment of this application. This network architecture 200 describes the network architecture of a 5G NR / LTE / LTE-A system, which can also be referred to as a 5G system (5GS) / evolved packet system (EPS) network architecture. The network architecture 200 includes at least one of the following: network device 110, terminal device 120, 5G core network (5GC) / evolved packet core (EPC) 210, home subscriber server (HSS) / unified data management (UDM) 220, and Internet service 230. The network device and terminal device in Figure 2 are illustrated using RAN and UE as examples, respectively.

[0045] As shown in Figure 2, network device 110 provides user plane and control plane protocol termination to terminal device 120. Network device 110 is connected to 5GC / EPC 210 via an S1 / NG interface. 5GC / EPC 210 includes a mobility management entity (MME) / authentication management field (AMF) / session management function (SMF) 211, other MMEs / AMFs / SMFs 214, a service gateway (S-GW) / user plane function (UPF) 212, and a packet data network gateway (P-GW) / UPF 213. MME / AMF / SMF 211 is the control node that handles signaling between terminal device 120 and 5GC / EPC 210. Generally, MME / AMF / SMF 211 provides bearer and connection management. All user Internet Protocol (IP) packets are transmitted through the S-GW / UPF212, which is itself connected to the P-GW / UPF213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-compliant Internet Protocol services, specifically including the Internet, intranet, IP multimedia subsystem (IMS), and packet-switched streaming services. It is evident that network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented herein can be extended to networks providing circuit-switched services or other cellular networks.

[0046] Figures 3A and 3B respectively illustrate a schematic diagram of a wireless protocol stack structure according to an embodiment of this application. Figures 3A and 3B use a 5G wireless protocol stack as an example for illustration. 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 suite used for user data transmission, and the control plane protocol stack is the protocol suite used for control signaling transmission in the 5G system. The specific names of each protocol stack layer are as follows:

[0047] As shown in Figure 3A, the user plane protocol stack includes, from top to bottom, the following layers: Service Data Adaptation Protocol (SDAP) layer, Packet Data Convergence Protocol (PDCP) layer, Radio Link Control (RLC) layer, Medium Access Control (MAC) layer, and Physical (PHY) layer.

[0048] As shown in Figure 3B, 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 the different layers in the above protocol stack have different functions, and they work together through inter-layer interaction to achieve communication between terminal devices and network devices. With the development of artificial intelligence technology, AI-assisted computing has permeated the processing implementation methods of the above protocol stack. For example, the scheduling algorithm of the MAC layer and the encoding / decoding algorithm of the PHY layer can apply artificial intelligence algorithms to improve the performance of communication algorithms.

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

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

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

[0053] To facilitate understanding, some related technical knowledge involved in the embodiments of this application is first introduced. The following related technologies are optional solutions and can be arbitrarily combined with the technical solutions of the embodiments of this application, all of which fall within the protection scope of the embodiments of this application. The embodiments of this application include at least some of the following contents.

[0054] With the development of communication technology, AI technology is ushering in a new round of technological revolution in human society. As an important research direction of AI technology, machine learning (ML) utilizes the non-linear processing capabilities of deep neural networks (DNN) to successfully solve a series of problems that were previously difficult to handle. In fields such as image recognition, speech processing, natural language processing, and games, it has even demonstrated performance superior to humans, and therefore has received increasing attention recently.

[0055] With the continuous development of AI technology, wireless communication systems are also undergoing rapid advancements. For example, 5G mobile communication systems can support three major application scenarios: enhanced mobile broadband (eMBB), ultra-reliable low latency communication (uRLLC), and massive machine-type communications (mMTC). Future 6G and beyond wireless communication systems will evolve towards higher throughput, lower latency, higher reliability, greater connection numbers, and higher spectrum utilization. AI has significant application potential in many areas, including modeling and learning in complex and unknown environments, channel prediction, intelligent signal generation and processing, network state tracking and intelligent scheduling, and network optimization deployment, and is expected to promote the evolution of future communication paradigms and the transformation of network architecture. Thanks to breakthroughs in AI and computing technologies, communication systems are continuously developing towards intrinsic intelligence. As an example, researching AI-intrinsic 6G wireless air interfaces and wireless networking is of great significance and value.

[0056] Traditional wireless communication links primarily address the complexity of transmission links through module stacking and technology densification. The following explanation uses a 4G / 5G wireless communication link as an example, illustrated in Figure 4.

[0057] As shown in Figure 4, the transmitting end of the communication link consists of seven modules. These seven modules, in processing order, are: source encoder, channel encoder, modulation, demodulation reference signal (DMRS) insert, precoding and mapping, waveform generation, and digital predistortion (DPD). After processing by these modules, the transmitting end's antenna transmits the wireless channel to the receiving end via beam scanning. The receiving end's antenna then receives the signal via beam scanning.

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

[0059] As shown in Figure 4, the functional modules of a traditional communication link are designed and optimized independently. After a long period of exploration, each functional module has approached its theoretical limit, and further performance improvements result in a dramatic increase in complexity with minimal gains. In the design and optimization of some functional modules, in order to reduce design complexity, certain nonlinear processes are simplified and assumed to be linear operations. However, this linear approach limits the performance improvement of each module. Furthermore, the optimization of a module does not equate to the optimization of the entire link performance; modular design incurs performance losses.

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

[0061] Optionally, the DCI may include a virtual resource block (VRB) to physical resource block (PRB) mapping to instruct the receiver's demapping module to perform resource demapping.

[0062] Optionally, the DCI may include DMRS sequence initialization, which instructs the receiver's channel estimation module and channel equalization module to perform channel estimation and equalization.

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

[0064] The preceding text, with reference to Figure 4, introduced the traditional wireless communication link and the control information used for scheduling the data channel. Thanks to the introduction of AI / ML technology, the performance of the communication link has been effectively improved. For example, replacing the module in Figure 4 with an AI / ML method can lead to performance improvements and reduced processing latency. Furthermore, 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 data-driven and model-driven approaches.

[0066] For data-driven approaches, traditional deep learning networks are mostly based on data-driven methods. This approach uses a standard neural network structure as a black box and trains it with a large amount of data. Training a standard neural network requires not only a huge dataset but also a significant amount of training time and computing power. However, these resources are extremely scarce in some situations, especially in the field of wireless communication.

[0067] Model-driven approaches, which build network topologies based on known physical mechanisms and domain knowledge, require less training data and shorter training time, and have therefore become an effective means of achieving intelligent communication.

[0068] Therefore, researching model-driven deep learning for wireless physical layer design provides theoretical support and a technological direction for the development of intelligent communication in 6G. Optionally, there are three methods for constructing model-driven deep learning: forming a signal flow graph from iterative algorithms; using the algorithm as an initialization step and combining it with a neural network; and mimicking the traditional structure in model-driven methods. Currently, model-driven deep learning for wireless physical layer design has been extensively studied in areas such as large-scale MIMO channel estimation, signal detection, channel decoding, CSI feedback, and multi-user precoding.

[0069] AI / ML can be applied in various ways in the wireless physical layer. One approach is to use neural networks to replace basic functional modules in traditional transmitters and receivers. Another approach views physical layer communication as an end-to-end signal reconstruction problem. The concept of an autoencoder can be used to represent the physical layer communication process, and joint optimization of end-to-end communication can create AI-powered transmitters and receivers.

[0070] For ease of understanding, the following description, in conjunction with Figures 5 to 10, provides an example of a joint coding framework applicable to the embodiments of this application and various AI intelligent receivers or transmitters in a communication link.

[0071] In some embodiments, the joint coding framework can be a source-channel joint coding framework. The following section uses joint source-channel coding (JSCC) for semantic communication as an example. Semantic coding transmission matches and fuses representation learning, source coding, and channel coding, performing end-to-end design according to optimization objectives to achieve high-fidelity data transmission. Representation learning, the effective extraction of semantic features from the source, is the most crucial step in semantic coding transmission; therefore, joint source-channel coding can achieve efficient and robust transmission of semantic features. In the wireless communication link, each module of the entire link can use nonlinear design processing methods to further provide semantic extraction and coding protection capabilities. Figure 5 shows two source-channel joint coding methods for semantic communication: direct semantic coding transmission and semantic transform coding transmission.

[0072] As shown in Figure 5, 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 via the communication channel. The receiver performs source-channel decoding and semantic feature fusion, and then outputs the image.

[0073] Referring to Figure 5, for direct encoded 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 into... The receiving end to Perform joint source-channel decoding to obtain

[0074] Referring again to Figure 5, for transform-coded transmission, the transmitter performs a nonlinear analytical transform on the input x to obtain the output y; the semantic latent space feature vector based on y is then subjected to variable-rate source-channel joint coding to obtain multiple outputs s; these multiple outputs s are then converted into multiple [other outputs] through channel transmission. The receiver supports multiple Perform joint decoding of variable rate source and channel to obtain Then, through nonlinear synthesis transformation, it is obtained

[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 from nonlinear analytical transformation. The semantic feature map can be input into a feature prior model to obtain the code rate allocation for joint coding of the variable-rate source and channel.

[0076] Figure 5 illustrates source-channel joint coding for semantic communication as an example. 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 type, inspired by uncoded transmission, combines the source coding module, channel coding module, and modulation module into a joint encoder, i.e., a symbol encoder based on the physical channel, as shown in Figure 6.

[0078] The wireless communication link shown in Figure 6 incorporates AI technology into the wireless communication link in Figure 4. The wireless communication link in Figure 6 includes a symbol encoder based on the physical channel. As shown in Figure 6, 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 MCS instructions to the AI ​​joint demodulation decoder.

[0079] The second type combines the source coding module and the channel coding module into a joint encoder, with other modules in the communication link abstracted as a binary channel, i.e., a bit encoder based on the abstract channel, as shown in 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 scheme to the AI ​​smart receiver.

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

[0081] The above text, with reference to Figures 5 to 7, exemplifies the application of AI / ML technology in joint coding. 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 instruct the AI ​​intelligent receiver on the modulation scheme. Similarly, when using AI / ML technology for channel estimation, channel equalization, and modulation identification and demodulation, the transmitter does not need to instruct the AI ​​intelligent receiver on the modulation scheme or the reference signal.

[0082] The wireless communication link in Figure 8 illustrates one implementation of AI intelligent demodulation. As shown in Figure 8, with the demodulation module on the receiver side designed as an AI intelligent demodulator, the transmitter no longer needs to send a modulation scheme instruction to the receiver.

[0083] The wireless communication link in Figure 9 illustrates one implementation of AI intelligent equalization and demodulation. As shown in Figure 9, the modulation module and DMRS insertion module on the transmitter side are jointly designed based on an AI irregular constellation diagram, while the demodulation module, channel equalization module, and channel estimation module on the receiver side are jointly designed as part of the AI ​​intelligent receiver. The transmitter does not need to send modulation scheme indication and DMRS indication to the AI ​​intelligent receiver.

[0084] In Figures 8 and 9, the modules corresponding to the waveform generation modules at the receiving and transmitting ends are waveform receiving and processing modules.

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

[0086] The wireless communication link in Figure 10 represents one implementation of AI intelligent end-to-end joint transceiver. As shown in Figure 10, 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 ​​intelligent transmitter. Similarly, the demodulation module, channel equalization module, channel estimation module, demapping module, and waveform reception and processing module on the receiver side are jointly designed as part of the AI ​​intelligent receiver. The nonlinear loss of the RF digital predistortion module is introduced into the AI ​​intelligent transmitter. Within the framework shown in Figure 10, the transmitter does not need to send modulation scheme indication, DMRS indication, or MIMO indication to the receiver.

[0087] As shown in Figures 5 to 10, after introducing AI technology into the wireless communication link, the functional modules of the transmitting or receiving end will be jointly designed, and the indication information sent from the transmitter to the receiver is related to the application method of AI. However, the traditional DCI format design is for traditional wireless communication links with separate functional modules and is not suitable for future AI-embedded intelligent transmitters and AI-embedded intelligent receivers.

[0088] Furthermore, whether future 6G systems can achieve full intelligence requires consideration of many factors. For example, the AI / ML models used in AI-powered transceivers require extensive data training. Also, future terminal devices will vary in form, and due to limitations imposed by factors such as computing power, storage costs and processing capabilities, data privacy, system requirements, application environments, and compatibility, the AI / ML models and functions supported by different terminal devices will differ. In other words, different AI / ML models and functions will lead to different levels of AI intelligence.

[0089] In summary, for AI-native wireless interfaces and communication links, it is necessary to provide essential control information instructions for AI-intelligent transmitters or receivers. Specifically, avoiding redundant control information instructions to improve resource utilization efficiency is a key consideration. Furthermore, determining different control information formats to optimize resource utilization efficiency for different AI intelligence levels is also an important issue to consider.

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

[0091] For ease of understanding, the method for wireless communication proposed in the embodiments of this application will be described in detail below with reference to Figure 11. Figure 11 is presented from the perspective of the interaction between the first node and the second node.

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

[0093] As an example, the first node can be a terminal device, such as the terminal device 120 shown in FIG1.

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

[0095] As an example, the second node can be a network device, such as network device 110 shown in Figure 1.

[0096] As an example, the second node can be a base station.

[0097] The method shown in Figure 11 includes steps S1110 and S1120, which are described below.

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

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

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

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

[0102] As one embodiment, the first information includes a Radio Resource Control-Information Element (RRC IE).

[0103] As one example, the first information includes MAC layer signaling.

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

[0105] The first information can indicate a first intelligence level. In some embodiments, the first intelligence level can be replaced by a first intelligence level, a first AI intelligence level, or a first AI intelligence level. The first intelligence level can represent the AI ​​intelligence level of a first node or the first node side. For example, the first intelligence level can reflect the AI ​​intelligence level of the first node transceiver. Embodiments of this application reduce signaling overhead by introducing the AI ​​intelligence level of the terminal transceiver to adapt different control information formats for different terminal devices.

[0106] As an example, the first intelligence level can represent the AI ​​intelligence level of the intelligent receiver of the first node. The intelligent receiver of the first node can be referred to as the first receiver. The first intelligence level can be determined based on the intelligence level of the first receiver.

[0107] As an example, the first intelligence level can represent the AI ​​intelligence level of the intelligent transceiver of the first node. The intelligent receiver of the first node can be referred to as the first transceiver. The first intelligence level can be determined based on the intelligence level of the first transceiver.

[0108] The first intelligence level of the first node can be associated with one or more types of information. That is, the first intelligence level on the first node side can be characterized by at least one of a variety of information. This variety of information may include: the functions related to the AI / ML model used by the first node; the intelligent receiving functions used by the first node; the capabilities of the first node; the category of the first node; the type of transceiver or receiver used by the first node; one or more models supported by the first node; and one or more function identifiers supported by the first node, etc. The following explains one or more types of information associated with the first intelligence level.

[0109] In some embodiments, the first intelligence level can indicate the functionality related to the AI ​​and / or ML models adopted by the first node, i.e., the functionality related to the AI / ML models. When the first node introduces AI / ML technology, different AI / ML models can support different functional implementations. Therefore, the first intelligence level can reflect the functionality related to the AI / ML models adopted by the first node.

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

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

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

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

[0114] As an example, the first intelligence level is related to the AI / ML functions employed by the first node.

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

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

[0117] As an example, the first intelligence level indicates the model inference operation adopted by the first node.

[0118] In some embodiments, the first intelligence level may indicate the intelligent reception function adopted by the first node. The intelligent reception 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 example, the first intelligence level is related to the intelligent receiver used by the first node.

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

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

[0122] As an example, the first intelligence level instructs the first node to use an AI / ML model for demodulation.

[0123] As an example, the first intelligence level instructs the first node to use an AI / ML model for decoding.

[0124] As an example, the first intelligence level instructs the first node to use an AI / ML model for joint demodulation and decoding.

[0125] As an example, the first intelligence level instructs the first node to use an AI / ML model for intelligent equalization and demodulation.

[0126] As an example, the first intelligence level instructs the first node to use an AI / ML model for intelligent end-to-end joint transmission and reception.

[0127] In some embodiments, the first intelligence level may correspond to at least one of the following: the capability category of the first node; the class or class index of the first node; the user equipment category or user equipment category index corresponding to the first node; the transceiver category or transceiver category index used by the first node; the receiver category or receiver category 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; and one or more function identifiers supported by the first node.

[0128] As an example, the model can be replaced with AI models, ML models, ML algorithms, AI / ML models, 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 its ability to perform wireless communication. For example, the capabilities of the first node may include its ability to receive and transmit wireless signals. Alternatively, the capabilities of the first node may include its predictive or computational capabilities after incorporating an AI / ML model.

[0130] As one example, the first intelligence level corresponds to the capability category of the first node. The system can configure multiple capability categories to classify terminal devices based on capability information. Each capability category corresponds to a different AI intelligence level.

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

[0132] As one example, the first intelligence level is related to the user capabilities of the first node.

[0133] In some embodiments, the first intelligence level corresponds to the 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 based on the category to which the first node belongs. The category to which the first node belongs can be related to information such as the application scenario and functions implemented by the first node.

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

[0135] In the above embodiments, the system can configure multiple UE classes. Each UE class corresponds to a different AI intelligence level. The first node can report the index of its UE class or its first intelligence level.

[0136] In some embodiments, the first intelligence level corresponds to the 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. Therefore, the type and number of models supported by the first node can be used to determine the first intelligence level. These one or more models belong to the models supported by the wireless communication link.

[0138] As an example, the one or more models supported by the first node can each correspond to one or more model identifiers.

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

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

[0141] The above section introduced various types of information associated with the first level of intelligence. In some scenarios, the first level of intelligence can be determined based on any combination of these various types of information. For example, the first level of intelligence 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 can be one of multiple intelligence levels. The system can be configured with multiple intelligence levels, and nodes communicating can determine the supported AI intelligence level based on the same principle to match a suitable control information format.

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

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

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

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

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

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

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

[0150] As an example, one or more functional identifiers supported by the first node are used to determine the first intelligence level from the plurality of intelligence levels.

[0151] In some embodiments, the multiple intelligence levels may correspond to at least one of the following: the capability category of the multiple nodes; the category or category index of the multiple nodes; the user equipment category or user equipment category index corresponding to the multiple nodes; the transceiver category or transceiver category index used by the multiple nodes; the receiver category or receiver category index used by the multiple nodes; one or more models supported by the multiple nodes respectively; one or more model identifiers supported by the multiple nodes respectively; one or more function identifiers supported by the multiple nodes respectively.

[0152] As one example, the multiple intelligence levels correspond to multiple node categories or multiple node category indices.

[0153] As one example, the multiple intelligence levels correspond to multiple user equipment classes (UE classes) or multiple user equipment class indices.

[0154] As one example, the multiple intelligence levels correspond to multiple receiver categories or multiple receiver category indices.

[0155] As one example, the multiple intelligence levels correspond to multiple transceiver categories or multiple transceiver category indices.

[0156] As one example, the multiple intelligence levels correspond to multiple models or multiple model identifiers.

[0157] As one example, the multiple intelligence levels correspond to multiple function identifiers.

[0158] In some embodiments, the first node can determine multiple intelligence levels configured in the system via a first configuration signaling. As an example, the second node can indicate multiple intelligence levels via the first configuration signaling. The first node can receive the first configuration signaling and then determine a first intelligence level from the multiple intelligence levels based on the first configuration signaling.

[0159] As an example, the first configuration signaling may include the correspondence between multiple intelligence levels and various types of information, so that the first node can determine the first intelligence level based on the first configuration signaling and its own information.

[0160] As one embodiment, the capability information of the first node is determined based on 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 one embodiment, the first configuration information indicates that the multiple intelligence levels correspond to multiple node categories or multiple node category indices. The multiple node categories are used to determine the category and first intelligence level of the first node; the multiple node category indices are used to determine the category index and first intelligence level of the first node.

[0162] As one embodiment, the first configuration signaling indicates that the plurality of intelligence levels correspond to a plurality of transceiver categories or a plurality of transceiver category indices. The plurality of transceiver categories or category indices are used to determine the category or category index of the first transceiver.

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

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

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

[0166] As an example, the first configuration signaling indicates the correspondence between multiple intelligence levels and the 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 can indicate the first intelligence level implicitly or explicitly. In some embodiments, the first information can directly indicate the first intelligence level or a level index of the first intelligence level. In some embodiments, the first information can indicate information related to the first intelligence level, so that the node receiving the first information can determine the first intelligence level of the first node based on the first information.

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

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

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

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

[0173] As one example, the first information relates to the capability limitations of the first node.

[0174] As one example, the capability information reported by the first node may include first information. In this scenario, sending first information by the first node can be replaced by reporting capability information by the first node. For example, the UE capabilities reported by the UE may include the UE's AI intelligence level / grade. Therefore, the base station can determine the first information when it receives the capability information reported by the UE.

[0175] In some embodiments, the first information may include any one or more of the information described above that characterizes the first intelligence level, thereby implicitly indicating the first intelligence level. As an example, the first information may include the category or category index of the first node. As an example, the first information may include the capability category or category index of the first node. As an example, the first information may include the 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 feature 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, it needs to select a suitable AI / ML model for the wireless communication link, i.e., the first AI / ML model. The intelligent reception function that the first AI / ML model can implement is the first intelligent reception function.

[0177] As one example, the first node can determine the first AI / ML model based on the system configuration. The system can be configured with multiple models or multiple function identifiers. The first node can determine the multiple models or multiple function identifiers configured by the system through a second configuration signaling.

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

[0179] As an example, the AI / ML model used by the first node is the first AI / ML model.

[0180] As an example, the first AI / ML model is one of a plurality of candidate models.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0195] In some embodiments, the second node transmits 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 scrambling, (source) channel coding, rate matching, scrambling processing, modulation, and mapping to physical resources. For the first node, after detecting the control signaling, it needs to determine whether the detected control signaling is the first control signaling through blind detection.

[0196] As an example, the processing flow of the first control signaling can refer to the DCI processing flow in the relevant 3GPP protocols. For instance, the processing flow of the first control signaling may include some or all of the processing flows described above in the DCI processing flow.

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

[0198] As one example, after the first control information format is attached with a CRC, the first RNTI is used to scramble the CRC. This can also be understood as the first RNTI scrambling the first control signaling.

[0199] As an example, the processing flow of the first control signaling at the sending end and the detection flow at the receiving end can be seen in Figures 4 to 10.

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

[0201] As an example, the processing and detection procedures 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 detect one or more control signaling messages, including a first control signaling message. The first node needs to perform blind detection on all detected control signaling messages to determine the first control signaling message.

[0203] In some embodiments, the content of the first control signaling is determined according to a first control information format. The second node can 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. In other words, the first control information format is a control information format that matches the intelligence level of the first node. This first control information format can provide the first node with the necessary control information, avoiding or reducing control information redundancy.

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

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

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

[0208] As an example, multiple intelligence levels can be arranged according to the rules specified in the protocol.

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

[0210] The first control information format is one of several candidate control information formats. These candidate formats may include traditional control information formats as well as newly designed ones; no specific limitation is made here.

[0211] As an example, multiple candidate control information formats can be designed accordingly for the capabilities of different nodes.

[0212] In some embodiments, multiple intelligence levels can be used to design corresponding control information formats for the system. 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 one embodiment, the first indication field can be any indication field of the first control information format. The first control information format included in the first control signaling can be replaced with the first indication field included in the first control signaling.

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

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

[0216] As an example, when the first intelligence level indicates that the first AI / ML model used by the first node is for decoding, the first indication field does not include information related to the encoding standard, or the number of bits related to the encoding 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 encoding standard, as shown in Figure 7. In this scenario, the format of the first control information can be the control information format shown in Table 3 below.

[0217] As an example, when the first intelligence level indicates that the first AI / ML model used by the first node is for intelligent end-to-end transceiver, the first indication field does not include information related to modulation scheme, coding scheme, or antenna port, or the number of bits of such related information in the first indication field is 0. That is, when the first node implements intelligent end-to-end transceiver through the first AI / ML model, the control information sent by the second node may not include information related to modulation scheme, coding scheme, MIMO indication, etc., as shown in Figure 10. In this scenario, the format of the first control information can be the control information format shown in Table 5 below.

[0218] As an example, the first control information format does not include information related to the modulation scheme. Modulating the first control signaling refers to carrying control information by changing certain parameters of the carrier signal. Information related to the modulation scheme may include the type of modulation scheme. The modulation scheme of the first control signaling may be one of binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), or various quadrature amplitude modulation (QAM) schemes. Examples of various QAM schemes include 16QAM, 64QAM, and 128QAM.

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

[0220] As an example, the first control information format includes information related to the encoding standard, but does not include information related to the modulation standard.

[0221] As an example, the first control information format includes information related to the modulation scheme, but does not include information related to the encoding scheme.

[0222] As an example, the first control information format does not include information related to the modulation scheme, nor does it include information related to the encoding scheme.

[0223] As an example, the first control information format does not include pre-encoded information and the number of layers.

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

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

[0226] As an example, the first control information format is a conventional control information format. For instance, the first control information format can refer to any DCI format specified in relevant 3GPP protocols.

[0227] As an example, 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, multiple intelligence levels correspond to multiple candidate control information formats. A first intelligence level is used to determine a first control information format from the multiple candidate control information formats.

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

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

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

[0232] As an example, multiple candidate control information formats may each include different indication fields to indicate different information.

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

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

[0235] In the above embodiments, the indication field corresponding to the modulation scheme can indicate multiple modulation methods. For example, it can indicate one of BPSK, QPSK, 16QAM, 64QAM, 128QAM, etc.

[0236] In the above embodiments, the indicator field corresponding to the encoding standard can indicate multiple encoding rates, such as 1 / 2, 1 / 3, 1 / 4, ...

[0237] For ease of understanding, several candidate control information formats are illustrated below with reference to embodiments of the control information formats shown in Tables 1 to 5. It should be understood that Tables 1 to 5 are merely illustrative of control information formats and are not intended to limit the scope of the formats.

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

[0239] Table 1

[0240] The control information format shown in Table 1 is a traditional control information format. As shown in Table 1, the indication fields of this control information format include frequency domain resource allocation, time domain resource allocation, new data indication, modulation and coding scheme, redundancy version, and HARQ process number, with corresponding bit counts of A1 bits, B1 bits, ..., F1 bits, respectively.

[0241] Example 2 of the control information format is shown in Table 2.

[0242] Table 2

[0243] The control information format shown in Table 2 is still the traditional control information format. Compared with Table 1, the indicator fields of the control information format in Table 2 also include precoding information and layer number, second precoding information, and antenna port. The number of bits corresponding to the multiple indicator fields are A2 bits, B2 bits, ..., I2 bits, respectively.

[0244] Example 3 of the control information format is shown in Table 3.

[0245] Table 3

[0246] Table 3 shows the newly designed control information format. Compared to Table 1, firstly, the indicator field of the control information format in Table 3 does not include the modulation coding scheme, but is replaced by the modulation scheme; secondly, the number of bits for the redundant version and the HARQ process number is explicitly set to 0 bits. Furthermore, the number of bits corresponding to frequency domain resource allocation, time domain resource allocation, new data indication, and modulation scheme in Table 3 are A (3 bits), B (3 bits), C (3 bits), and D (3 bits), respectively.

[0247] Example 4 of the control information format is shown in Table 4.

[0248] Table 4

[0249] The control information format shown in Table 4 is the newly designed control information format. Compared with Table 1, the indicator field of the control information format in Table 3 does not include the modulation and coding scheme, but is replaced by the coding scheme. In Table 4, the number of bits corresponding to frequency domain resource allocation, time domain resource allocation, new data indication, coding scheme, redundancy version, and HARQ process number are A (4 bits), B (4 bits), ..., F (4 bits), respectively.

[0250] Example 5 of the control information format is shown in Table 5.

[0251] Table 5

[0252] The control information format shown in Table 5 is the newly designed control information format. Compared with Table 2, in Table 5, the modulation and coding scheme, redundancy version, HARQ process number, precoding information and layer number, second precoding information, and antenna port bit count are all explicitly set to 0 bits. Furthermore, in Table 5, the bit counts corresponding to frequency domain resource allocation, time domain resource allocation, and new data indication are A5 bits, B5 bits, and C5 bits, respectively.

[0253] The preceding text, combined with Tables 1 to 5, introduced several candidate control information formats. In some scenarios, as mentioned earlier, multiple candidate control information formats can correspond to multiple intelligence levels. In other scenarios, at least two candidate control information formats can correspond to the same intelligence level. In still other scenarios, one candidate control information format corresponds to at least two intelligence levels.

[0254] As an example, 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.

[0255] As an example, the first intelligence level corresponds to at least the first control information format among the plurality of candidate control information formats.

[0256] As an example, the first intelligence level corresponds to the first control information format among the plurality of candidate control information formats, and the first intelligence level also corresponds to the second control information format among the plurality of candidate control information formats.

[0257] 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 a 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.

[0258] As an example, the plurality of intelligence levels correspond one-to-one with the plurality of candidate control information format groups.

[0259] As an example, the first control information format group includes at least one control information format.

[0260] As an example, CRC scrambling of the first control signaling is used to determine the first control information format from the first control information format group.

[0261] As an example, each of the multiple candidate control information format groups contains the same number of control information formats.

[0262] As an example, each control information format group in the multiple candidate control information format groups contains a different number of control information formats.

[0263] As an example, among the multiple candidate control information format groups, at least two control information format groups contain different numbers of control information formats.

[0264] As an example, the correspondence between multiple intelligence levels and multiple candidate control information format groups can be seen in Table 6. The control information format groups in Table 6 can provide necessary indication information or prior information for the AI / ML model on the first node side.

[0265] Table 6

[0266] As shown in 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 contains M control information formats, where M and N are both positive integers.

[0267] The first control signaling is used to instruct the first node to receive or transmit wireless signals. For example, when the first control signaling schedules downlink data, the first node can receive wireless signals according to the first control information. For example, when the first control signaling schedules uplink data, the first node can transmit wireless signals according to the first control information.

[0268] As one embodiment, the first control signaling is used to instruct the first node to receive wireless signals, including the first control signaling being used to schedule downlink data.

[0269] As one embodiment, the first control signaling is used to instruct the first node to receive wireless signals, including the first control signaling being used to schedule downlink data channels.

[0270] As one embodiment, the first control signaling is used to instruct the first node to receive wireless signals, including the first control signaling being used to schedule downlink channels.

[0271] As one embodiment, the first control signaling is used to instruct the first node to receive wireless signals, including the first control signaling being used to schedule PDSCH.

[0272] As one embodiment, the first control signaling is used to instruct the first node to transmit wireless signals, including the first control signaling being used to schedule uplink data.

[0273] As one embodiment, the first control signaling is used to instruct the first node to transmit wireless signals, including the first control signaling being used to schedule uplink data channels.

[0274] As one embodiment, the first control signaling is used to instruct the first node to transmit wireless signals, including the first control signaling being used to schedule the uplink channel.

[0275] As one embodiment, the first control signaling is used to instruct the first node to transmit wireless signals, including the first control signaling being used to schedule the physical uplink shared channel (PUSCH).

[0276] As one example, the radio signal includes data.

[0277] As one embodiment, the wireless signal includes higher-level signaling.

[0278] As one embodiment, the wireless signal includes channel state information (CSI).

[0279] As one example, the wireless signal includes HARQ information.

[0280] As one embodiment, the wireless signal includes a physical shared channel.

[0281] As one example, the wireless signal includes PDSCH.

[0282] As one example, the wireless signal includes PUSCH.

[0283] As an example, the wireless signal is transmitted on the PDSCH.

[0284] As an example, the wireless signal is transmitted on the PUSCH.

[0285] As one embodiment, the first control signaling is used to instruct the first node to perform PDSCH reception.

[0286] As one embodiment, the first control signaling is used to instruct the first node to send a PUSCH.

[0287] In some embodiments, the first node may detect multiple control signaling messages within the time window of receiving the first control signaling message. The first node needs to identify the control information format included in the control signaling message (blind detection) to confirm the first control signaling message.

[0288] As one possible implementation, different control information formats can be scrambled by different RNTIs, allowing the first node to determine the first control signaling by recognizing the RNTI. As an example, different RNTIs can be associated with different intelligence levels. For instance, multiple RNTIs can be configured for multiple intelligence levels. When a particular RNTI is used to scramble the control information format, the first node can determine the corresponding AI intelligence level by recognizing that RNTI, thereby monitoring the corresponding control information format.

[0289] As an example, the first control signaling is scrambled by the first RNTI, which is associated with the first intelligence level.

[0290] As an example, the first control signaling is one of one or more control signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

[0291] As another possible implementation, the second node can add a field to 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.

[0292] As one embodiment, the first control information format may include a second indication field, which is used to indicate the first intelligence level.

[0293] As one embodiment, the first control information format may include a second indication field, which is used to indicate the first control information format.

[0294] As one embodiment, the first control signaling includes a second indication field, which is used to determine that the first control signaling includes the first control signaling.

[0295] The preceding text, with reference to Figure 11, described an embodiment of a method in which the first node indicates a first intelligence level to the second node, and the second node sends a first control signaling according to the first control information format corresponding to the first intelligence level. For ease of understanding, the following text, with reference to Figures 12 and 13, provides illustrative examples of two possible implementations. In Figures 12 and 13, the first node is the UE, and the second node is the base station.

[0296] Figure 12 illustrates one implementation of the UE capability indication of the first intelligence level reported by the UE. The UE directly sends the intelligence level or capability category to the base station so that the base station can provide a matching control information format based on the information reported by the UE.

[0297] In step S1210, the UE sends the AI ​​intelligence level / level (first intelligence level) or UE capability category on the UE side to the base station.

[0298] In step S1220, the base station sends a matching control information format, namely the first control information format, to the UE. In other words, the base station matches the corresponding control information format based on the AI ​​intelligence level / level reported by the UE.

[0299] In step S1230, the UE and the base station transmit downlink or uplink data. For example, the UE can invoke an appropriate AI / ML model based on the monitored control information to perform AI / ML intelligent uplink / downlink data transmission and reception.

[0300] Figure 13 illustrates one implementation method where the UE determines the first intelligence level based on multiple model / function identifiers issued by the base station. The base station can first send multiple pieces of information related to the intelligence level to the UE, and the UE selects the intelligence level information that matches its own from these pieces of information. Subsequently, the UE sends the selected information or intelligence level to the base station, along with control information in a format that facilitates matching by the base station.

[0301] In step S1310, the base station sends multiple AI / ML models or multiple AI / ML function identifiers to the UE.

[0302] 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 from multiple AI / ML model / function identifiers sent by the base station and report them to the base station.

[0303] In step S1340, the base station sends a matching control information format, namely the first control information format, to the UE.

[0304] In step S1350, the UE and the base station transmit downlink or uplink data. For example, the UE can invoke an appropriate AI / ML model based on the monitored control information to perform AI / ML intelligent uplink / downlink data transmission and reception.

[0305] The method embodiments of this application have been described in detail above with reference to Figures 1 to 13. The apparatus embodiments of this application will be described in detail below with reference to Figures 14 and 15. It should be understood that the descriptions of the method embodiments correspond to the descriptions of the apparatus embodiments; therefore, any parts not described in detail can be referred to the preceding method embodiments.

[0306] Figure 14 illustrates a first node for wireless communication provided in an embodiment of this application. As shown in Figure 14, the first node 1400 includes a first transmitter 1410 and a first receiver 1420.

[0307] The first transmitter 1410 can be used to transmit first information, which is used to indicate a first intelligence level.

[0308] The first receiver 1420 is 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 transmit wireless signals.

[0309] As one embodiment, the first intelligence level indicates the AI ​​and / or ML model-related functions adopted by the first node, or the first intelligence level indicates the intelligent reception function adopted by the first node.

[0310] As an example, the first intelligence level is one of a plurality of intelligence levels, the plurality of intelligence levels corresponding to a 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.

[0311] As an example, the first intelligence level is one of a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of candidate control information format groups.

[0312] As one embodiment, the first intelligence level corresponds to at least one of the following: the capability category of the first node;

[0313] The category or category index of the first node; the user equipment category or user equipment category index corresponding to the first node; the category or receiver category index of the receiver used by the first node; the category or transceiver category index of the transceiver 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.

[0314] As one embodiment, the first receiver 1420 is further configured to receive a first configuration signaling; the first node further includes a first processor configured 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.

[0315] As one embodiment, the first receiver 1420 is also configured to receive a second configuration signaling; the first node further includes a second processor, which can be used to determine a first AI / ML model from a plurality of models or a plurality of function identifiers; wherein the second configuration signaling is used to indicate the plurality of models or the plurality of function identifiers.

[0316] As an example, 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.

[0317] As an example, 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 scheme, or the number of bits of information related to the modulation scheme in the first indication field is 0.

[0318] As an example, when the first intelligence level indicates that the first AI / ML model used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits of information related to the encoding scheme in the first indication field is 0.

[0319] As an example, the first control signaling is scrambled by a first RNTI, which is associated with the first intelligence level.

[0320] As an example, the first control signaling is one of one or more control signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

[0321] As one embodiment, the first control information format includes a second indication field, which is used to indicate the first intelligence level or the first control information format.

[0322] As one embodiment, the first control signaling includes a second indication field, which is used to determine that the first control signaling includes the first control information format.

[0323] As an example, the first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is not lower than the intelligence level of the first intelligence level.

[0324] As one embodiment, the first transmitter 1410 and the first receiver 1420 can be transceivers 1630, and the first node 1400 can also include a processor 1610 and a memory 1620, as shown in FIG16.

[0325] Figure 15 illustrates a second node for wireless communication provided in an embodiment of this application. As shown in Figure 15, the second node 1500 includes a second receiver 1510 and a second transmitter 1520.

[0326] The second receiver 1510 can be used to receive first information, which is used to indicate a first intelligence level.

[0327] 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 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 perform wireless signal reception or wireless signal transmission.

[0328] As one embodiment, the first intelligence level indicates the AI ​​and / or ML model-related functions adopted by the first node, or the first intelligence level indicates the intelligent reception function adopted by the first node.

[0329] As an example, the first intelligence level is one of a plurality of intelligence levels, the plurality of intelligence levels corresponding to a 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.

[0330] As an example, the first intelligence level is one of a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of candidate control information format groups.

[0331] As an example, the first intelligence level corresponds to at least one of the following: the capability category of the first node; the category or category index of the first node; the user equipment category or user equipment category index corresponding to the first node; the receiver category or receiver category index used by the first node; the transceiver category or transceiver category 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.

[0332] As one embodiment, the second transmitter 1520 is also used to transmit a first configuration signaling; wherein the first configuration signaling is used to indicate the plurality of intelligence levels, the plurality of intelligence levels being used by the first node to determine the first intelligence level.

[0333] As an example, the second transmitter 1520 is also used to send a second configuration signaling; wherein the second configuration signaling is used to indicate the plurality of models or the plurality of function identifiers, the plurality of models or the plurality of function identifiers being used by the first node to determine the first AI / ML model.

[0334] As an example, 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.

[0335] As an example, 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 scheme, or the number of bits of information related to the modulation scheme in the first indication field is 0.

[0336] As an example, when the first intelligence level indicates that the first AI / ML model used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits of information related to the encoding scheme in the first indication field is 0.

[0337] As an example, the first control signaling is scrambled by a first RNTI, which is associated with the first intelligence level.

[0338] As an example, the first control signaling is one of one or more control signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

[0339] As one embodiment, the first control information format includes a second indication field, which is used to indicate the first intelligence level or the first control information format.

[0340] As one embodiment, the first control signaling includes a second indication field, which is used to determine that the first control signaling includes the first control information format.

[0341] As an example, the first intelligence level is one of a plurality of intelligence levels, the first control information format is associated with one or more of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is not lower than the intelligence level of the first intelligence level.

[0342] As one embodiment, the second receiver 1510 and the second transmitter 1520 can be transceivers 1630, and the second node 1500 can also include a processor 1610 and a memory 1620, as shown in Figure 16.

[0343] Figure 16 is a schematic structural diagram of a communication device according to an embodiment of this application. The dashed lines in Figure 16 indicate that the unit or module is optional. This device 1600 can be used to implement the methods described in the above method embodiments. Device 1600 can be a chip, user equipment, or network device.

[0344] Apparatus 1600 may include one or more processors 1610. The processor 1610 may support apparatus 1600 in implementing the methods described in the preceding method embodiments. 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 be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0345] The apparatus 1600 may further include one or more memories 1620. The memories 1620 store a program that can be executed by the processor 1610, causing the processor 1610 to perform the methods described in the preceding method embodiments. The memories 1620 may be independent of the processor 1610 or integrated within the processor 1610.

[0346] The device 1600 may also include a transceiver 1630. The processor 1610 can communicate with other devices or chips via the transceiver 1630. For example, the processor 1610 can send and receive data with other devices or chips via the transceiver 1630.

[0347] Figure 17 is a schematic diagram of the hardware modules of the communication device provided in an embodiment of this application. Specifically, Figure 17 shows a block diagram of a first communication device 1750 and a second communication device 1710 communicating with each other in the access network.

[0348] The first communication device 1750 includes a controller / processor 1759, a memory 1760, a data source 1767, a transmitter processor 1768, a receiver processor 1756, a multi-antenna transmitter processor 1757, a multi-antenna receiver processor 1758, a transmitter / receiver 1754, and an antenna 1752.

[0349] The second communication device 1710 includes a controller / processor 1775, a memory 1776, a data source 1777, a receiver processor 1770, a transmitter processor 1716, a multi-antenna receiver processor 1772, a multi-antenna transmitter processor 1771, a transmitter / receiver 1718, and an antenna 1720.

[0350] In the transmission from the second communication device 1710 to the first communication device 1750, at the second communication device 1710, upper-layer data packets from the core network or from the data source 1777 are provided to the controller / processor 1775. The core network and data source 1777 represent all 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 radio resource allocation for the first communication device 1750 based on various priority metrics. The controller / processor 1775 is also responsible for retransmitting 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). Transmit processor 1716 performs encoding and interleaving to facilitate forward error correction at the second communication device 1710, and mapping of signal clusters based on various modulation schemes (e.g., binary phase shift keying, quadrature phase shift keying, M-phase shift keying, M-quadrature amplitude modulation). Multi-antenna transmit processor 1771 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more spatial streams. Transmit processor 1716 then maps each spatial stream to subcarriers, multiplexes it with a reference signal (e.g., a pilot) in the time and / or frequency domains, and subsequently uses inverse fast Fourier transform to generate a physical channel carrying the time-domain multicarrier symbol stream. Multi-antenna transmit processor 1771 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 1718 converts the baseband multicarrier symbol stream provided by the multi-antenna transmitter processor 1771 into an radio frequency stream, which is then provided to different antennas 1720.

[0351] 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 radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 1756. The receiver processor 1756 and the multi-antenna receiver processor 1758 implement various signal processing functions of Layer 1. The multi-antenna receiver processor 1758 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 1754. The receiver processor 1756 uses a Fast Fourier Transform to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations 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 receiver processor 1756, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 1758 after multi-antenna detection to recover any spatial stream destined for the first communication device 1750. Symbols on each spatial stream are demodulated and recovered in the receive processor 1756, generating soft decisions. The receive 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 over 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 Layer 2. The controller / processor 1759 may be associated with a memory 1760 storing program code and data. The memory 1760 may be referred to as computer-readable media. In the transmission from the second communication device 1710 to the first communication device 1750, the controller / processor 1759 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels 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 Layer 2. Various control signals may also be provided to Layer 3 for Layer 3 processing.

[0352] In the transmission from the first communication device 1750 to the second communication device 1710, at the first communication device 1750, upper-layer data packets are provided to the controller / processor 1759 using a data source 1767. The data source 1767 represents all protocol layers above Layer 2. Similar to the transmission functions 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 logic and transport channels, implementing Layer 2 functions for the user plane and control plane. The controller / processor 1759 is also responsible for retransmitting lost packets and signaling to the second communication device 1710. Transmit processor 1768 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 1757 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 1768 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 1757, the stream is provided to different antennas 1752 via transmitter 1754. Each transmitter 1754 first converts the baseband symbol stream provided by multi-antenna transmit processor 1757 into a radio frequency symbol stream before providing it to antenna 1752.

[0353] 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 receiving 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 radio frequency signals through its corresponding antenna 1720, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 1772 and the receiving processor 1770. The receiving processor 1770 and the multi-antenna receiving processor 1772 jointly implement the L1 layer function. The controller / processor 1775 implements the L2 layer function. The controller / processor 1775 may be associated with a memory 1776 that stores program code and data. The memory 1776 may be referred to as computer-readable media. In the transmission from the first communication device 1750 to the second communication device 1710, the controller / processor 1775 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the 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 Layer 2, and various control signals can also be provided to the core network or Layer 3 for Layer 3 processing.

[0354] As one embodiment, the first communication device 1750 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 with the at least one processor, and the first communication device 1750 at least: transmits first information, the first information indicating a first intelligence level; receives first control signaling; wherein the first control signaling includes a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format; the first control signaling is used to instruct the first node to perform wireless signal reception or wireless signal transmission.

[0355] As one embodiment, the first communication device 1750 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generating actions when executed by at least one processor, the actions including: sending first information, the first information indicating a first intelligence level; receiving first control signaling; wherein the first control signaling includes a first control information format, the first control information format being one of a plurality of candidate control information formats, the first intelligence level corresponding to the first control information format; the first control signaling is used to instruct the first node to perform wireless signal reception or wireless signal transmission.

[0356] As an example, the first communication device 1750 corresponds to the first node in this application.

[0357] As an example, the second communication device 1710 corresponds to the second node in this application.

[0358] As an example, the first communication device 1750 is a terminal device that can act as a relay node.

[0359] As an example, the first communication device 1750 is a V2X-enabled terminal device that can act as a relay node.

[0360] As an example, the first communication device 1750 is a D2D-enabled terminal device that can act as a relay node.

[0361] As an example, the first communication device 1750 is a network control relay (NCR).

[0362] As an example, the first communication device 1750 is a relay wireless repeater.

[0363] As an example, the first communication device 1750 is a relay.

[0364] As one embodiment, the second communication device 1710 is a base station.

[0365] As one embodiment, the antenna 1752, the transmitter 1754, the multi-antenna transmission processor 1757, the transmission processor 1768, and the controller / processor 1759 are used to transmit the first information.

[0366] As one 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.

[0367] As one embodiment, the antenna 1720, the receiver 1718, the multi-antenna receiving processor 1772, the receiving processor 1770, and the controller / processor 1775 are used to receive the first information.

[0368] As one embodiment, the antenna 1720, the transmitter 1718, the multi-antenna transmission processor 1771, the transmission processor 1716, and the controller / processor 1775 are used to transmit the first control signaling.

[0369] This application also provides a computer-readable storage medium for storing a program. This computer-readable storage medium can be applied to a terminal or network device provided in this application, and the program causes a computer to execute the methods performed by the terminal device or network device in various embodiments of this application.

[0370] This application also provides a computer program product. The computer program product includes a program. This computer program product can be applied to a terminal or network device provided in this application embodiment, and the program causes a computer to execute the methods performed by the terminal device or network device in the various embodiments of this application.

[0371] This application also provides a computer program. This computer program can be applied to the terminal or network device provided in this application, and the computer program causes the computer to execute the methods performed by the terminal device or network device in various embodiments of this application.

[0372] It should be understood that the terms "system" and "network" in this application can be used interchangeably. Furthermore, the terminology used in this application is only for explaining specific embodiments of the application and is not intended to limit the application. The terms "first," "second," "third," and "fourth," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. In addition, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0373] In the embodiments of this application, the term "instruction" can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0374] In the embodiments of this application, "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0375] In the embodiments of this application, the term "correspondence" can indicate a direct or indirect correspondence between two things, or an association between two things, or a relationship such as instruction and being instructed, configuration and being configured.

[0376] In this application embodiment, "predefined" or "preconfigured" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including user equipment and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0377] In this application embodiment, the "protocol" may refer to a standard protocol in the field of communication, such as the LTE protocol, the NR protocol, and related protocols applied to future communication systems. This application does not limit this.

[0378] In the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0379] In the various embodiments of this application, the order of the above-mentioned processes does not imply 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 this application.

[0380] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0381] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0382] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0383] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially 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, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs, DVDs) or semiconductor media (e.g., solid-state disks, SSDs), etc.

[0384] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The first node in this application includes, but is not limited to, wireless communication devices such as mobile phones, tablets, laptops, network cards, low-power devices, enhanced machine-type communication (eMTC) devices, narrowband Internet of Things (NB-IoT) devices, vehicle communication devices, aircraft, airplanes, drones, and remote-controlled airplanes. The second node in this application includes, but is not limited to, wireless communication devices such as mobile phones, tablets, laptops, network cards, low-power devices, eMTC devices, NB-IoT devices, vehicle communication devices, aircraft, airplanes, drones, and remote-controlled airplanes. The user equipment (UE) or terminal in this application includes, but is not limited to, mobile phones, tablets, laptops, data cards, low-power devices, eMTC devices, NB-IoT devices, vehicle-mounted communication devices, aircraft, drones, remote-controlled aircraft, and other wireless communication devices. The base station equipment 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, eNBs, gNBs, TRPs, global navigation satellite systems (GNSS), relay satellites, satellite base stations, and airborne base stations, and other wireless communication devices.

[0385] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for a first node in wireless communication, characterized in that, include: Send a first message, which indicates a first intelligence level; Receive first control signaling; The first control signaling includes a first control information format, which 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 transmit wireless signals.

2. The method according to claim 1, characterized in that, The first intelligence level indicates the functions related to the artificial intelligence (AI) and / or machine learning (ML) models adopted by the first node, or the first intelligence level indicates the intelligent receiving functions 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, which correspond to a plurality of candidate control information formats. 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 a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of candidate control information format groups.

5. The method according to any one of claims 1-4, characterized in that, The first intelligence level corresponds to at least one of the following information: The capability category of the first node; The category or category index of the first node; The user equipment category or user equipment category index corresponding to the first node; The receiver type or receiver type index used by the first node; The transceiver type or transceiver type index used by the first node; The first node supports one or more models; 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 1-5, characterized in that, include: Receive the first configuration signaling; The first intelligence level is determined from multiple intelligence levels; The first configuration signaling is used to indicate the plurality of intelligence levels.

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

8. The method according to any one of claims 1-7, characterized in that, 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.

9. The method according to claim 8, characterized in that, 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 scheme, or the number of bits related to the modulation scheme 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 used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits related to the encoding scheme in the first indication field is 0.

11. The method according to any one of claims 1-10, characterized in that, The first control signaling is scrambled by the first radio network temporary identifier (RNTI), which 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 signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

13. The method according to any one of claims 1-10, characterized in that, The first control information format includes a second indication field, which 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 a second indication field, which is used to determine that the first control signaling includes the first control information format.

15. The method according to any one of claims 1-14, 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 of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is not lower than the intelligence level of the first intelligence level.

16. A method for a second node in wireless communication, characterized in that, include: Receive first information, the first information indicating a first intelligence level; Send the first control signal; The first control signaling includes a first control information format, which 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 transmit wireless signals.

17. The method according to claim 16, characterized in that, The first intelligence level indicates the functions related to the artificial intelligence (AI) and / or machine learning (ML) models adopted by the first node, or the first intelligence level indicates the intelligent receiving functions 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, which correspond to a plurality of candidate control information formats. 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 a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of candidate control information format groups.

20. The method according to any one of claims 16-19, characterized in that, The first intelligence level corresponds to at least one of the following information: The capability category of the first node; The category or category index of the first node; The user equipment category or user equipment category index corresponding to the first node; The receiver type or receiver type index used by the first node; The transceiver type or transceiver type index used by the first node; The first node supports one or more models; 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 16-20, characterized in that, include: Send the first configuration signaling; The first configuration signaling is used to indicate multiple intelligence levels, which are used by the first node to determine the first intelligence level.

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

23. The method according to any one of claims 16-22, characterized in that, 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.

24. The method according to claim 23, characterized in that, 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 scheme, or the number of bits related to the modulation scheme 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 used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits related to the encoding scheme in the first indication field is 0.

26. The method according to any one of claims 16-25, characterized in that, The first control signaling is scrambled by the first radio network temporary identifier (RNTI), which 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 signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

28. The method according to any one of claims 16-25, characterized in that, The first control information format includes a second indication field, which 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 a second indication field, which is used to determine that the first control signaling includes the first control information format.

30. The method according to any one of claims 16-29, 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 of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is 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 is used to send first information, the first information indicating a first intelligence level; The first receiver is used to receive the first control signaling; The first control signaling includes a first control information format, which 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 transmit wireless signals.

32. The first node according to claim 31, characterized in that, The first intelligence level indicates the functions related to the artificial intelligence (AI) and / or machine learning (ML) models adopted by the first node, or the first intelligence level indicates the intelligent receiving functions 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, which correspond to a plurality of candidate control information formats. 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 a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of 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: The capability category of the first node; The category or category index of the first node; The user equipment category or user equipment category index corresponding to the first node; The receiver type or receiver type index used by the first node; The transceiver type or transceiver type index used by the first node; The first node supports one or more models; 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 also configured to receive the first configuration signaling; the first node further includes: A first processor is configured to determine the first intelligence level from a plurality of intelligence levels; The first configuration signaling is used to indicate the plurality of intelligence levels.

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

39. The first node according to claim 38, characterized in that, 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 scheme, or the number of bits related to the modulation scheme 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 used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits related to the encoding scheme 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 the first radio network temporary identifier (RNTI), which 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 signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

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, which 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 a second indication field, which 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 of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is 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 is used to receive first information, wherein the first information indicates a first intelligence level; The second transmitter is used to send the first control signaling; The first control signaling includes a first control information format, which 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 transmit wireless signals.

47. The second node according to claim 46, characterized in that, The first intelligence level indicates the functions related to the artificial intelligence (AI) and / or machine learning (ML) models adopted by the first node, or the first intelligence level indicates the intelligent receiving functions 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, which correspond to a plurality of candidate control information formats. 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 a plurality of 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 a plurality of candidate control information format groups, the plurality of intelligence levels correspond to the plurality of candidate control information format groups, and the first intelligence level is used to determine the first control information format group from the plurality of 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: The capability category of the first node; The category or category index of the first node; The user equipment category or user equipment category index corresponding to the first node; The receiver type or receiver type index used by the first node; The transceiver type or transceiver type index used by the first node; The first node supports one or more models; 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 also used to send a first configuration signaling; wherein the first configuration signaling is used to indicate a plurality of intelligence levels, the plurality of intelligence levels being used by the first node to determine the first intelligence level.

52. The second node according to any one of claims 46-51, 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, the multiple models or the multiple function identifiers being 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 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.

54. The second node according to claim 53, characterized in that, 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 scheme, or the number of bits related to the modulation scheme 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 used by the first node is used for decoding, the first indication field does not include information related to the encoding scheme, or the number of bits related to the encoding scheme 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 the first radio network temporary identifier (RNTI), which 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 signaling messages monitored by the first node, and the first RNTI is used to determine the first control signaling message from the one or more control signaling messages.

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, which 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 a second indication field, which 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 of the plurality of intelligence levels, and the intelligence level of the one or more intelligence levels is not lower than the intelligence level of the first intelligence level.

61. A node used for wireless communication, characterized in that, The device includes a transceiver, a memory, and a processor. The memory stores a program, and the processor invokes the program in the memory and controls the transceiver to receive or send signals so that the node performs the method as described in any one of claims 1-15 or 16-30.

62. An apparatus, characterized in that, Includes a processor for calling a program from memory to cause the device to perform the method as described in any one of claims 1-15 or 16-30.

63. A chip, characterized in that, Includes a processor for calling a program from memory, causing a device on which the chip is mounted to perform the method as described in any one of claims 1-15 or 16-30.

64. A computer-readable storage medium, characterized in that, It contains a program that causes a computer to perform the method as described in any one of claims 1-15 or 16-30.

65. A computer program product, characterized in that, Includes a program that causes a computer to perform the method as described in any one of claims 1-15 or 16-30.

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

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