Method and apparatus used in node for uplink transmission in wireless communication

Abstract

Disclosed in the present application are a method and apparatus used in a node for uplink transmission in wireless communication. The method comprises: a first node receiving first signaling, wherein the first signaling indicates scheduling information of a first wireless channel; and sending the first wireless channel, wherein the scheduling information of the first wireless channel comprises a first parameter set, the first parameter set is one of a first candidate parameter set or a second candidate parameter set, the first candidate parameter set is different from the second candidate parameter set, and whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining computing capability of the first node meets a computing capability requirement associated with the first signaling. The present application enhances an inference-based scheduling transmission mechanism.

Description

A method and apparatus for use in a node for wireless communication uplink transmission

[0001] This application claims priority to Chinese Patent Application No. 202411844866.0, filed on December 13, 2024, entitled "A Method and Apparatus for Uplink Transmission in a Node for Wireless Communication", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to signal transmission methods and apparatus in wireless communication systems, and more particularly to methods and apparatus for the integration of AI and communication. Background Technology

[0003] Leveraging AI / ML (Artificial Intelligence / Machine Learning) technologies to enhance 5G network performance is a crucial component of achieving deep integration of 5G and AI / ML and building intelligent dimensions for 5G-Advanced (5.5G) networks. The 3GPP (3rd Generation Partnership Project) standards organization initiated research on standards for RAN (Radio Access Networks) intelligence starting with Rel-16 (Release-16), primarily focusing on intelligent use cases, enhanced data collection, and the potential impact on RAN nodes and interfaces. Rel-18 formally established a project for AI / ML-based 5G air interface enhancement, initiating international standardization work on the integration of 5G air interface and AI / ML, mainly focusing on research into use cases, lifecycle management (LCM), simulation verification, and data collection.

[0004] Currently, the development of AI / ML has entered the stage of large-scale models. Large-scale communication models can realize autonomous networks and intelligent services, support network operation optimization, and improve network efficiency. The deep integration of communication and AI is an important direction for the future evolution of communication. AI will empower the development and upgrading of 5G, 5.5G to 6G, bringing new management models such as automated management of frequency bands and traffic, real-time analysis of user data and network load, and prediction of network status. Summary of the Invention

[0005] In traditional communication systems, source coding and channel coding are independent, making it difficult to achieve an optimal compromise. With the increasing application of AI / ML technology in 3GPP, joint source-channel coding has gained widespread attention. Research has shown that using neural networks to jointly design source compression and channel coding can improve transmission efficiency and further promote the development and implementation of AI-based wireless channel scheduling and encoding / decoding. However, the applicant's research has found that when the terminal's computing power does not meet the requirements of the base station's scheduling or configuration for AI-based wireless channel generation, how the terminal generates and transmits the wireless channel is a problem that urgently needs to be solved.

[0006] To address the aforementioned issues, this application discloses a solution. It should be noted that while this application is initially intended for AI / ML scenarios, it can also be applied to other non-AI / ML scenarios. Furthermore, adopting a unified design scheme for different scenarios (such as other non-AI / ML scenarios, including but not limited to Vehicle to Everything (V2X), capacity enhancement systems, short-range communication systems, NTN (Non-Terrestrial Network), IoT (Internet of Things), and URLLC (Ultra-Reliable Low-Latency Communication) networks) helps reduce hardware complexity and cost. Where there is no conflict, embodiments and features in any node of this application can be applied to any other node. Where there is no conflict, embodiments and features in any embodiment of this application can be arbitrarily combined with each other.

[0007] In particular, the interpretation of terms, nouns, functions, and variables in this application (unless otherwise specified) can be found in the definitions of the TS38 and TS37 series of 3GPP (3rd Generation Partnership Project) Technical Specifications (TS). Where necessary, reference can be made to TS38.211, TS38.212, TS38.213, TS38.214, TS38.215, TS38.300, TS38.304, TS38.305, TS38.321, TS38.331, TS37.355, and TS38.423 in the 3GPP technical specifications to aid in understanding this application.

[0008] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS38 series.

[0009] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS37 series.

[0010] As an example, the interpretation of the terms used in this application is based on the definitions in 3GPP specification protocol Rel-17.

[0011] As an example, the interpretation of the terms used in this application is based on the definitions in 3GPP specification protocol Rel-18.

[0012] This application discloses a method for a first node in wireless communication uplink transmission, comprising:

[0013] Receive a first signaling message, which indicates scheduling information for a first wireless channel;

[0014] Transmit the first wireless channel;

[0015] The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0016] It should be noted that "transmitting (or receiving) the first wireless channel" is a common expression in the art, meaning to transmit (or receive) on the first wireless channel, or to transmit (or receive) signals (e.g., modulation symbols) on the first wireless channel; the above expression is beneficial for maintaining consistency with the general expression in the art.

[0017] As an example, the problem this application aims to solve includes: how to improve the reliability of signal transmission.

[0018] As an example, the problem this application aims to solve includes: how to reduce transmission latency.

[0019] As an example, the problem to be solved by this application includes: how to generate and transmit a wireless channel when the computing power of the first node does not meet the wireless channel generation requirements of the base station scheduling or configuration.

[0020] As an example, the features of the above method include: when the remaining processing capacity of the first node is insufficient, the first node adaptively selects a method with lower processing capacity requirements to generate and transmit the first wireless channel, thereby solving the above problem.

[0021] As an example, the features of the above method include: the first node is a terminal.

[0022] As an example, the features of the above method include: the first domain set of the first signaling indicates the scheduling information of the first wireless channel, and the first domain set indicates whether the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0023] As an example, the characteristics of the above method include that the scheduling information included in the first candidate parameter set and the second candidate parameter set are different.

[0024] As an example, the advantages of the above method include: this application supports the deep integration of AI and communication, improves the adaptability and intelligence level of the communication system, and thus enhances the performance, efficiency and user experience of the communication system.

[0025] As an example, the advantages of the above method include: the terminal selects an appropriate signal generation method according to its own processing capabilities, avoiding the forced execution of complex AI calculations when computing power is insufficient, thereby avoiding resource waste caused by computing delays.

[0026] As an example, the advantages of the above method include: when the terminal has insufficient remaining processing power, transmitting the wireless channel in a way that requires less processing power instead of canceling the wireless channel transmission can improve resource utilization and reduce transmission latency.

[0027] As an example, the advantages of the above method include: reducing base station scheduling restrictions, avoiding transmission interruptions caused by inconsistencies between base station and terminal information, and reducing transmission latency.

[0028] As an example, the advantages of the above method include: improved flexibility in signal transmission.

[0029] According to one aspect of this application, the above method is characterized in that, when the remaining processing capacity of the first node meets the requirements of the processing capacity associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the first node does not meet the requirements of the processing capacity associated with the first signaling, the first parameter set is the second candidate parameter set.

[0030] As an example, the features of the above method include: the first candidate parameter set and the second candidate parameter set respectively include inference-based wireless channel transmission scheduling information and non-inference-based wireless channel transmission scheduling information.

[0031] As an example, the features of the above method include: the first candidate parameter set and the second candidate parameter set respectively include scheduling information for wireless channel transmission based on different AI models.

[0032] As an example, the features of the above method include: the first candidate parameter set includes scheduling information indicated by the first signaling.

[0033] As an example, the advantages of the above method include: selecting appropriate scheduling parameters based on whether the processing capacity meets the scheduling requirements, while fully utilizing the gains from the convergence of AI and communication, and ensuring the robustness of signal transmission.

[0034] As an example, the advantages of the above method include: reducing base station scheduling restrictions, avoiding transmission interruptions caused by inconsistencies between base station and terminal information, and reducing transmission latency.

[0035] As an example, the advantages of the above method include: improving the level of network intelligence.

[0036] According to one aspect of this application, the above method is characterized in that, when the number of units corresponding to the remaining processing capacity of the first node is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the first node satisfies the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the first node does not satisfy the requirements of the processing capacity associated with the first signaling.

[0037] As an example, the problem this application aims to solve includes: how to determine whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0038] As an example, the features of the above method include: in this application, the processing capability of the first node is quantified into atomic units, and the first node can quickly determine whether the scheduling requirements of the base station are met by comparing the numerical relationship between the number of remaining units and the number of target units, thereby solving the above problem.

[0039] As an example, the characteristics of the above method include: the unit corresponding to the processing capability is atomic.

[0040] As an example, the features of the above method include: the processing capability associated with the first signaling corresponds to at least one unit.

[0041] As an example, the advantages of the above method include: atomizing and quantifying the processing power of the terminal is conducive to standardization.

[0042] As an example, the advantages of the above method include: hiding the hardware and system differences between different terminals, reducing the requirements for terminals, and having better compatibility.

[0043] As an example, the advantages of the above method include: it helps the terminal to quickly determine whether the processing capacity meets the scheduling requirements and reduces processing latency.

[0044] According to one aspect of this application, the above method is characterized in that the remaining processing capacity of the first node corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity; when the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the first node satisfies the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the first node does not satisfy the requirements of the processing capacity associated with the first signaling.

[0045] As an example, the problem this application aims to solve includes: how to determine whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0046] As an example, the features of the above method include: latency and throughput are the two most important performance indicators for measuring processor computing power. In this application, when defining the remaining processing capacity of the first node, both memory access limitation and computation limitation are considered as performance bottlenecks. Storage capacity and computing capacity are introduced. Only when both memory access and computation meet the requirements is the remaining processing capacity of the first node considered to meet the processing capacity associated with the first signaling, thereby solving the above problems.

[0047] As an example, the advantages of the above method include: fully considering the characteristics of AI / ML models and the differences in hardware performance within the 3GPP communication framework, and promoting the deep integration of AI and communication.

[0048] As an example, the advantages of the above method include: fully considering the two major performance indicators of memory access and computation, accurately judging the utilization of computing resources, and improving the overall performance of the system.

[0049] According to one aspect of this application, the above method is characterized in that the first parameter set includes a first parameter, the first parameter indicating the MCS used by the first wireless channel.

[0050] As an example, the features of the above method include: the MCS at least indicates the modulation scheme of the first wireless channel.

[0051] As an example, the features of the above method include: the channel conditions can be accurately predicted and modeled before the wireless channel is generated based on inference, and the use of high-order modulation can be supported, thereby achieving a higher transmission rate under the same resources; when the terminal adopts a transmission method that does not generate the wireless channel based on inference or uses a simple inference model to generate the wireless channel due to insufficient processing resources, the channel state may not have undergone in-depth optimization analysis, and it is suitable to use low-order modulation to ensure the reliability of transmission and avoid data loss.

[0052] As an example, the advantages of the above method include: enhanced transmission robustness, reduced retransmissions, and thus reduced transmission latency.

[0053] As an example, the advantages of the above method include: achieving a higher transmission rate and improving transmission efficiency while ensuring reliable transmission.

[0054] As an example, the benefits of the above method include: improving overall link performance and enhancing user experience.

[0055] According to one aspect of this application, the method is characterized in that the first parameter set includes a second parameter, the second parameter indicating at least the former of the code rate or encoding method used by the first wireless channel.

[0056] As an example, the features of the above method include: the second parameter includes the code rate used by the first wireless channel.

[0057] As an example, the features of the above method include: the wireless channel generated based on inference can support a higher code rate through more accurate channel prediction and coding optimization; when the terminal uses a transmission method that does not generate a wireless channel based on inference or uses a simple inference model to generate a wireless channel due to insufficient processing resources, a low code rate transmission can be selected to ensure the reliability of signal transmission.

[0058] As an example, the features of the above method include: the candidates for the coding scheme include source-channel independent coding and source-channel joint coding.

[0059] As an example, the advantages of the above method include: supporting higher code rates for inference-based wireless channels and improving system throughput.

[0060] As an example, the advantages of the above method include: different bit rate transmissions allow the terminal to dynamically adjust according to computing power conditions, ensuring reliable communication.

[0061] As an example, the advantages of the above method include: avoiding frequent retransmissions caused by decoding failures and improving user experience.

[0062] According to one aspect of this application, the method is characterized in that the first parameter set includes a third parameter, the third parameter indicating the transmit power value used by the first wireless channel.

[0063] As an example, the features of the above method include: the third parameter is used for power control of the first wireless channel.

[0064] As an example, the features of the above method include: the wireless channel generated based on inference may undergo complex channel prediction and optimization processing, making it more adaptable to channel conditions and able to achieve the same or higher communication performance at lower transmission power. When the terminal adopts a transmission method that does not generate a wireless channel based on inference or uses a simple inference model to generate a wireless channel due to insufficient processing resources, the insufficiency of channel estimation can be compensated by increasing the transmission power, ensuring reliable data transmission.

[0065] As an example, the features of the above method include: the inference-generated wireless channel may operate in a power-limited mode on some frequency bands; when the terminal uses a transmission method that does not use the inference-generated wireless channel due to insufficient processing resources, it can use higher power resources to ensure the transmission performance of users in the traditional mode.

[0066] As an example, the advantages of the above method include: ensuring reliable data transmission and optimizing interference control.

[0067] As an example, the benefits of the above method include: improved energy efficiency and optimized power consumption distribution patterns.

[0068] As an example, the benefits of the above method include: improving overall link performance and enhancing user experience.

[0069] According to one aspect of this application, the above method is characterized by comprising:

[0070] Send the first information block;

[0071] The first information block indicates whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0072] As an example, the problem to be solved by this application includes: how to establish consensus between the first node and the base station when the information of the channel generated by the first node is inconsistent with the scheduling or configuration of the base station, so as to ensure that the signal is correctly transmitted and decoded.

[0073] As an example, the features of the above method include: in this application, the first node sends a first information block to indicate whether the remaining processing capacity of the first node meets the processing capacity associated with the first signaling, thereby instructing the first node to generate and send the parameter set used by the first wireless channel, so as to ensure that the base station can correctly receive and decode the first wireless channel.

[0074] As an example, the features of the above method include: the first information block is transmitted no later than the first wireless channel.

[0075] As an example, the features of the above method include: the first wireless channel receiver has decoded the first information block and obtained information on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling before decoding the first wireless channel.

[0076] As an example, the advantages of the above method include: dynamic computing power feedback enables the base station to obtain changes in terminal processing resources in a timely manner, and allocate appropriate resources to various services of the terminal according to the terminal's capabilities, which helps to improve the overall throughput and efficiency of the system.

[0077] As an example, the advantages of the above method include: establishing consensus between the base station and the terminal, and ensuring that the base station correctly receives and decodes the wireless channel.

[0078] As an example, the advantages of the above method include: it helps to achieve dynamic resource management and computing power-aware scheduling.

[0079] According to one aspect of this application, the above method is characterized in that the first node is a user equipment.

[0080] According to one aspect of this application, the above method is characterized in that the first node is a terminal.

[0081] This application discloses a method for a second node in wireless communication uplink transmission, comprising:

[0082] Send a first signaling message, which indicates the scheduling information of the first wireless channel;

[0083] Receive the first wireless channel;

[0084] The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0085] As an example, the features of the above method include: the second node includes a base station and a core network.

[0086] As an example, the features of the above method include: the second node includes a core network.

[0087] As an example, the features of the above method include: the second node includes an entity for deploying AI / ML models.

[0088] As an example, the features of the above method include: the second node includes a node for deploying AI / ML models.

[0089] As an example, the features of the above method include: the second node includes a base station.

[0090] As an example, the features of the above method include: the second node is a base station.

[0091] As an example, the features of the above method include: the second node is an eNB.

[0092] As an example, the features of the above method include: the second node is a gNB.

[0093] As an example, the features of the above method include: the second node is a network device, which includes at least one of a core network device and an access network device.

[0094] As an example, the features of the above method include: the second node is a device that provides wireless communication function services, can communicate with terminal devices, and is usually located on the network side.

[0095] As an example, the features of the above method include: the base station in this application includes a core network.

[0096] As an example, the features of the above method include: the base station in this application includes core network equipment.

[0097] As an example, the features of the above method include: the base station in this application includes an entity for deploying AI / ML models.

[0098] As an example, the features of the above method include: the base station in this application includes nodes for deploying AI / ML models.

[0099] According to one aspect of this application, the method is characterized in that, when the remaining processing capacity of the transmitter of the first wireless channel meets the processing capacity requirement associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the transmitter of the first wireless channel does not meet the processing capacity requirement associated with the first signaling, the first parameter set is the second candidate parameter set.

[0100] According to one aspect of this application, the above method is characterized in that, when the number of units corresponding to the remaining processing capacity of the transmitter of the first wireless channel is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the transmitter of the first wireless channel satisfies the requirement of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the transmitter of the first wireless channel does not satisfy the requirement of the processing capacity associated with the first signaling.

[0101] According to one aspect of this application, the above method is characterized in that the remaining processing capability of the transmitter of the first wireless channel corresponds to the remaining storage capability and the remaining computing capability, and the processing capability associated with the first signaling corresponds to the associated storage capability and the associated computing capability; when the remaining storage capability and the remaining computing capability are not less than the associated storage capability and the associated computing capability, respectively, the remaining processing capability of the transmitter of the first wireless channel satisfies the requirement of the processing capability associated with the first signaling; otherwise, the remaining processing capability of the transmitter of the first wireless channel does not satisfy the requirement of the processing capability associated with the first signaling.

[0102] According to one aspect of this application, the above method is characterized in that the first parameter set includes a first parameter, the first parameter indicating the MCS used by the first wireless channel.

[0103] According to one aspect of this application, the method is characterized in that the first parameter set includes a second parameter, the second parameter indicating at least the former of the code rate or encoding method used by the first wireless channel.

[0104] According to one aspect of this application, the method is characterized in that the first parameter set includes a third parameter, the third parameter indicating the transmit power value used by the first wireless channel.

[0105] According to one aspect of this application, the above method is characterized by comprising:

[0106] Receive the first information block;

[0107] The first information block indicates whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0108] According to one aspect of this application, the above method is characterized in that the second node is a base station.

[0109] This application discloses a device for a first node in wireless communication uplink transmission, comprising:

[0110] Receive a first signaling message, which indicates scheduling information for a first wireless channel;

[0111] Transmit the first wireless channel;

[0112] The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0113] This application discloses a device for a second node in wireless communication uplink transmission, comprising:

[0114] Send a first signaling message, which indicates the scheduling information of the first wireless channel;

[0115] Receive the first wireless channel;

[0116] The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0117] As an example, compared with conventional solutions, this application has the following advantages, but is not limited to:

[0118] This application supports the deep integration of AI and communication to improve the adaptability and intelligence of communication systems, thereby enhancing the performance, efficiency, and user experience of communication systems.

[0119] The terminal can select appropriate scheduling parameters based on whether the remaining processing capacity meets the scheduling requirements, thereby fully utilizing the gains from the integration of AI and communication while ensuring the robustness of signal transmission.

[0120] Establish consensus between the base station and the terminal to ensure that the base station correctly receives and decodes the wireless channel;

[0121] This allows terminals to transmit wireless channels in a less demanding manner when their remaining processing power is insufficient, rather than canceling wireless channel transmission, thereby improving resource utilization and reducing transmission latency. Attached Figure Description

[0122] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0123] Figure 1 illustrates a flowchart of the first node transmission according to an embodiment of this application;

[0124] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0125] Figure 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application;

[0126] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0127] Figure 5 shows a first flowchart of the transmission between a first node and a second node according to an embodiment of this application;

[0128] Figure 6 illustrates a second flowchart of the transmission between a first node and a second node according to an embodiment of this application;

[0129] Figure 7 shows a first schematic diagram of a first node according to an embodiment of the present application, where the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0130] Figure 8 shows a second schematic diagram when the remaining processing capacity of the first node according to an embodiment of the present application meets the processing capacity requirements associated with the first signaling;

[0131] Figure 9 shows a schematic diagram of the first parameter according to an embodiment of this application;

[0132] Figure 10 shows a schematic diagram of the second parameter according to an embodiment of this application;

[0133] Figure 11 shows a schematic diagram of a third parameter according to an embodiment of this application;

[0134] Figure 12 shows a schematic diagram of RAN domain AI / ML function deployment according to an embodiment of this application;

[0135] Figure 13 shows a schematic diagram of the AI / ML function deployment of a UE according to an embodiment of this application;

[0136] Figure 14 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0137] Figure 15 illustrates a schematic diagram of artificial intelligence or machine learning according to an embodiment of this application;

[0138] Figure 16 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0139] Figure 17 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application. Detailed Implementation

[0140] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, including but not limited to the embodiments in Figure 1 and the embodiments in Figures 5-17, the embodiments in Figure 5 and the embodiments in Figures 6-17, etc.

[0141] Example 1

[0142] Example 1 illustrates a flowchart of the first node transmission according to an embodiment of this application, as shown in Figure 1. In Figure 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific temporal sequence between the steps.

[0143] In step 101, the first node receives the first signaling, which indicates the scheduling information of the first wireless channel; in step 102, the first wireless channel is transmitted.

[0144] In Embodiment 1, the scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0145] As one example, the first node is a user equipment (UE).

[0146] As one example, the first node is a terminal.

[0147] As an example, the first node is the first node in this application.

[0148] As an example, the first node receives the first signaling.

[0149] As one embodiment, the first signaling includes higher layer signaling.

[0150] As an example, the first signaling is higher-layer signaling.

[0151] As an example, the first signaling is an RRC (Radio Resource Control) signaling.

[0152] As one embodiment, the first signaling includes one or more RRC IEs (Information Elements).

[0153] As one embodiment, the first signaling includes one or more fields of each of one or more RRC IEs.

[0154] As one example, the first signaling includes one or more domains of the ServingCellConfig IE.

[0155] As one example, the first signaling includes one or more domains of the BWP-UplinkDedicated IE.

[0156] As one example, the first signaling includes one or more domains of the PUSCH-Config IE.

[0157] As one example, the first signaling includes one or more domains of the ConfiguredGrantConfig IE.

[0158] As an example, the first signaling is dynamic signaling.

[0159] As one example, the first signaling includes an uplink (UL) grant.

[0160] As an example, the first signaling is dynamic scheduling signaling.

[0161] As an example, the first signaling is uplink scheduling signaling.

[0162] As an example, the first signaling is MAC (Medium Access Control) layer signaling.

[0163] As an example, the first signaling carries MAC layer control information.

[0164] As an example, the first signaling is MAC CE (Control Element).

[0165] As an example, the first signaling is RAR (Random Access Response).

[0166] As an example, the first signaling is fallbackRAR.

[0167] As an example, the first signaling is physical layer signaling.

[0168] As an example, the first signaling is L1 (Layer 1) signaling.

[0169] As an example, the first signaling is physical layer control signaling.

[0170] As one embodiment, the first signaling carries physical layer control information.

[0171] As an example, the first signaling is DCI (Downlink Control Information).

[0172] As one embodiment, the first signaling includes at least one DCI field.

[0173] As an example, the DCI format of the first signaling is DCI format 0_0.

[0174] As an example, the DCI format of the first signaling is DCI format 0_3.

[0175] As an example, the DCI format of the first signaling is one of DCI format 0_1 ​​and DCI format 0_2.

[0176] As an example, the DCI format of the first signaling is DCI format 0_X, where X is a positive integer greater than 3.

[0177] As a sub-implementation of this embodiment, the DCI format 0_X is used to schedule data channel transmission based on inference generation.

[0178] As a sub-implementation of this embodiment, the DCI format 0_X is used to schedule PUSCH (Physical Uplink Shared Channel) transmissions based on inference generation.

[0179] As one embodiment, the first signaling includes CRC (Cyclic Redundancy Check).

[0180] As an example, the first signaling includes a CRC, which is scrambled using C (Cell)-RNTI (Radio Network Temporary Identifier).

[0181] As an example, the first signaling includes a CRC, which is scrambled by MCS (Modulation and Coding Scheme)-C (Cell)-RNTI.

[0182] As an example, the first signaling includes a CRC, which is scrambled by AI (Artificial Intelligence)-RNTI.

[0183] As an example, the first signaling includes a CRC, which is scrambled by ML (Machine Learning)-RNTI.

[0184] As one embodiment, the first signaling includes a CRC, which is scrambled by AI-C-RNTI.

[0185] As one embodiment, the first signaling includes a CRC, which is scrambled by ML-C-RNTI.

[0186] As one embodiment, the first signaling is jointly carried by RRC signaling and physical layer signaling.

[0187] As one embodiment, the first signaling indicates the scheduling information of the first wireless channel.

[0188] As an example, the first signaling explicitly indicates the scheduling information of the first wireless channel.

[0189] As an example, the first signaling implicitly indicates the scheduling information of the first wireless channel.

[0190] As an example, the first signaling directly indicates the scheduling information of the first wireless channel.

[0191] As an example, the first signaling indirectly indicates the scheduling information of the first wireless channel.

[0192] As one embodiment, the first signaling includes scheduling information for the first wireless channel.

[0193] As one embodiment, the first signaling carries scheduling information for the first wireless channel.

[0194] As one embodiment, the first signaling schedules the first wireless channel.

[0195] As one embodiment, the first signaling instructs the first node to transmit the first wireless channel.

[0196] As one embodiment, the first signaling activates the first node to transmit the first wireless channel.

[0197] As an example, the scheduling information of the first wireless channel includes one or more of the following: time-domain resources, frequency-domain resources, MCS (Modulation and Coding Scheme), TPMI (Transmitted Precoding Matrix Indicator), DMRS (DeModulation Reference Signal) ports, HARQ (Hybrid Automatic Repeat reQuest) process number, TCI (Transmission Configuration Indicator) state, RV (Redundancy Version), NDI (New Data Indicator), antenna ports, SRS (Sounding Reference Signal) request, and SRI (SRS Resource Indicator).

[0198] As one embodiment, the scheduling information of the first wireless channel includes power information.

[0199] As one embodiment, the scheduling information of the first wireless channel includes code domain resources.

[0200] As one embodiment, the scheduling information of the first wireless channel includes AI instructions.

[0201] As one embodiment, the scheduling information of the first wireless channel includes whether the first wireless channel is generated based on inference.

[0202] As an example, the scheduling information of the first wireless channel indicates that the first wireless channel is generated based on inference.

[0203] As an example, the first wireless channel being generated based on inference means that the physical layer process of generating the first wireless channel includes AI inference.

[0204] As an example, the first wireless channel being generated based on inference means that the process of mapping the transmission channel carried by the first wireless channel to the physical layer channel occupied by the first wireless channel includes AI inference.

[0205] As an example, the first wireless channel being generated based on inference means that the first wireless channel carries a TB (Transport Block), which is generated based on inference.

[0206] As an example, the first wireless channel being generated based on inference means that the modulation symbols of the first wireless channel are generated based on inference.

[0207] As an example, the first wireless channel being generated based on inference means that the encoding of the first wireless channel is implemented based on inference.

[0208] As an example, the first wireless channel being generated based on inference means that the encoder that generates the first wireless channel is a first encoder.

[0209] As an example, the first wireless channel being generated based on inference means that the bits transmitted on the first wireless channel include bits of the output of the first encoder after at least one of CRC check, channel coding, rate matching, modulation, scrambling, or layer mapping.

[0210] As an example, the first wireless channel being generated based on inference means that: the bits transmitted on the first wireless channel include bits after a TB has undergone at least one of CRC check, channel coding, rate matching, modulation, scrambling, or layer mapping; the TB includes the output of the first encoder.

[0211] As an example, the first encoder in this application is a physical layer encoder; the above method is beneficial for joint coding of the source and channel.

[0212] As an example, the first encoder in this application is an encoder of a protocol layer above the physical layer.

[0213] As an example, the first encoder in this application is at the application layer.

[0214] As an example, the first encoder in this application is in the RLC (Radio Link Control) sublayer.

[0215] As an example, the first encoder in this application is located inside the UE of the first node; the above method improves execution efficiency.

[0216] As an example, the first encoder in this application is located outside the UE of the first node; the above method reduces the complexity and overhead of the UE.

[0217] As an example, the first encoder in this application is implemented in software.

[0218] As an example, the first encoder in this application is implemented in hardware.

[0219] As an example, the first encoder in this application is implemented based on a UE.

[0220] As an example, the first encoder in this application is based on AI.

[0221] As an example, the first encoder in this application is implemented based on an AI / ML model.

[0222] As an example, the first encoder in this application is based on at least one of training, inference, or reinforcement learning.

[0223] As an example, the first encoder in this application is an AI / ML function with encoding capabilities.

[0224] As an example, the first encoder in this application is an AI / ML function with source coding and / or channel coding capabilities.

[0225] As an example, the first encoder in this application is an applicable functionality, which is used for encoding.

[0226] As an example, the first encoder in this application is an applicable function used for joint source-channel coding.

[0227] As an example, the first encoder in this application is an applicable function used for AI encoding.

[0228] As an example, the encoding performed by the first encoder in this application includes at least one of feature extraction, decorrelation, statistical matching, compression, transformation, processing, convolution, discretization, quantization, or parameter extraction.

[0229] As an example, the encoding performed by the first encoder in this application is based on artificial neural networks, convolutional neural networks (CNNs), or recurrent neural networks (RNNs).

[0230] As an example, the statement that the first wireless channel is not generated based on inference means that the physical layer process for generating the first wireless channel does not include AI inference.

[0231] As an example, the statement that the first wireless channel is not generated based on inference means that the process of mapping the transmission channel carried by the first wireless channel to the physical layer channel occupied by the first wireless channel does not include AI inference.

[0232] As an example, the statement that the first wireless channel is not generated based on inference includes: the encoder that generates the first wireless channel is a second encoder.

[0233] As an example, the statement that the first wireless channel is not generated based on inference includes: the bits transmitted on the first wireless channel include the bits after the output of the second encoder has undergone at least one of CRC check, channel coding, rate matching, modulation, scrambling, or layer mapping.

[0234] As an example, the first wireless channel being generated based on inference means that: the bits transmitted on the first wireless channel include bits after a TB has undergone at least one of CRC check, channel coding, rate matching, modulation, scrambling, or layer mapping; the TB includes the output of the second encoder.

[0235] As an example, the second encoder in this application is not implemented based on an AI / ML model.

[0236] As an example, the second encoder in this application is not based on training, inference, or reinforcement learning.

[0237] As an example, the second encoder in this application is a physical layer encoder.

[0238] As an example, the second encoder in this application is implemented in software.

[0239] As an example, the second encoder in this application is implemented in hardware.

[0240] As an example, the second encoder in this application is implemented based on a UE.

[0241] As an example, the second encoder in this application is an encoder based on Rel-18 (Release-18) and versions prior to Rel-18.

[0242] As an example, the second encoder in this application is a channel encoder, and the encoding method of the channel encoder is Polar code.

[0243] As an example, the second encoder in this application is a channel encoder, and the encoding method of the channel encoder is LDPC (Low Density Parity Check) code.

[0244] As an example, the second encoder in this application is a channel encoder, and the encoding method of the channel encoder is block code.

[0245] As an example, the reasoning mentioned in this application refers to infer.

[0246] As an example, the reasoning mentioned in this application refers to inference.

[0247] As an example, the reasoning mentioned in this application refers to prediction.

[0248] As an example, the reasoning mentioned in this application refers to: prediction.

[0249] As an example, the inference described in this application includes AI / ML inference.

[0250] As an example, the first node transmits the first wireless channel.

[0251] As one example, the first node transmits on the first wireless channel.

[0252] As one example, the first node transmits a signal on a first wireless channel.

[0253] As one embodiment, the first node transmits modulation symbols on the first wireless channel.

[0254] As one embodiment, the first wireless channel includes baseband signals.

[0255] As one embodiment, the first wireless channel includes radio frequency signals.

[0256] As one embodiment, the first wireless channel carries data or signaling from the protocol layer above the physical layer.

[0257] As an example, the first wireless channel carries UL-SCH (Uplink Shared Channel).

[0258] As an example, the first wireless channel is a physical layer channel.

[0259] As an example, the first wireless channel is a data channel.

[0260] As an example, the first wireless channel is PUSCH.

[0261] As an example, the first wireless channel carries at least one TB.

[0262] As an example, the first wireless channel carries at least one CBG (Code Block Group).

[0263] As an example, the first wireless channel carries a CSI (Channel State Information) report.

[0264] As one embodiment, the scheduling information of the first wireless channel includes the first parameter set.

[0265] As an example, the first parameter set includes at least one parameter.

[0266] As one example, the first parameter set includes multiple parameters.

[0267] As one embodiment, the first signaling includes a first set of fields, which indicates the first set of parameters.

[0268] As an example, the first set of domains includes the MCS domain.

[0269] As an example, the first set of domains includes the Modulation and coding scheme domain.

[0270] As an example, the first set of fields includes the fields for precoding information and number of layers.

[0271] As an example, the first set of fields includes the Second Precoding information field.

[0272] As an example, the first set of domains includes SRI domains.

[0273] As an example, the first set of domains includes the SRS resource indicator domain.

[0274] As an example, the first set of domains includes the Second SRS resource indicator domain.

[0275] As an example, the first set of domains includes the SRS resource set indicator domain.

[0276] As an example, the first set of domains includes AI indication domains.

[0277] As an example, the first set of domains includes the AI ​​indicator domain.

[0278] As an example, the first set of domains includes the Open-loop power control parameter set indication domain.

[0279] As an example, the first set of fields includes the Transform precoder indicator field.

[0280] As an example, the first set of domains includes the TPC command for scheduled PUSCH domain.

[0281] As an example, the first set of domains includes the Second TPC command for scheduled PUSCH domain.

[0282] As one embodiment, the scheduling information of the first wireless channel includes a second set of parameters, which is independent of whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0283] As a sub-implementation of this embodiment, the second parameter set includes at least one parameter.

[0284] As a sub-implementation of this embodiment, the second parameter set is orthogonal to the parameters included in the first parameter set.

[0285] As a sub-implementation of this embodiment, the parameters included in the second parameter set indicate the time-domain resources occupied by the first wireless channel.

[0286] As a sub-implementation of this embodiment, the parameters included in the second parameter set indicate the frequency domain resources occupied by the first wireless channel.

[0287] As a sub-implementation of this embodiment, the parameters included in the second parameter set indicate the frequency hopping information of the first wireless channel.

[0288] As a sub-implementation of this embodiment, the parameters included in the second parameter set indicate the spatial resources of the first wireless channel.

[0289] As an example, the first parameter set is one of the first candidate parameter set or the second candidate parameter set.

[0290] As one embodiment, the first set of fields indicates the first set of candidate parameters or the first set of fields indicates the second set of candidate parameters.

[0291] As an example, the first set of fields indicates the first set of candidate parameters.

[0292] As one embodiment, the first set of fields indicates the second set of candidate parameters.

[0293] As an example, any parameter included in the first parameter set is a parameter in the first candidate parameter set or a parameter in the second candidate parameter set.

[0294] As an example, all parameters included in the first parameter set are either parameters in the first candidate parameter set or parameters in the second candidate parameter set.

[0295] As an example, the first candidate parameter set and the second candidate parameter set are different.

[0296] As an example, the scheduling information indicated by the first candidate parameter set and the second candidate parameter set are different.

[0297] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set include different MCS.

[0298] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set include different bitrates.

[0299] As a sub-implementation of this embodiment, the scheduling information of the first wireless channel indicated by the first signaling includes a given MCS, the given MCS being associated with a first code rate and a second code rate, the first code rate belonging to the first candidate parameter set, and the second code rate belonging to the second candidate parameter set.

[0300] As an additional embodiment of this sub-example, when the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling, the first wireless channel uses the first code rate; when the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling, the first wireless channel uses the second code rate.

[0301] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set include different power information.

[0302] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set include different encoding information.

[0303] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set include different modulation information.

[0304] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes: the first candidate parameter set and the second candidate parameter set respectively include wireless channel transmission scheduling information generated based on inference and wireless channel transmission scheduling information not generated based on inference.

[0305] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes: the first candidate parameter set and the second candidate parameter set respectively include AI-based wireless channel transmission scheduling information and non-AI-based wireless channel transmission scheduling information.

[0306] As an example, the difference between the first candidate parameter set and the second candidate parameter set includes the following: the first candidate parameter set and the second candidate parameter set respectively include scheduling information for wireless channel transmission based on different AI models.

[0307] As a sub-example of this embodiment, the different AI models refer to different model-Ids.

[0308] As a sub-example of this embodiment, the different AI models refer to different model types.

[0309] As a sub-example of this embodiment, the different AI models refer to different associated IDs.

[0310] As a sub-example of this embodiment, the different AI models refer to different functionality IDs.

[0311] As an example, the RRC domain set corresponding to the first candidate parameter set and the RRC domain set corresponding to the second candidate parameter set are the same.

[0312] As an example, the bit values ​​of the RRC field set corresponding to the first candidate parameter set and the bit values ​​of the RRC field set corresponding to the second candidate parameter set are the same.

[0313] As an example, the DCI domain set corresponding to the first candidate parameter set and the DCI domain set corresponding to the second candidate parameter set are the same.

[0314] As an example, the values ​​of the DCI field set corresponding to the first candidate parameter set and the DCI field set corresponding to the second candidate parameter set are the same.

[0315] As an example, the code points of the DCI field set corresponding to the first candidate parameter set and the code points of the DCI field set corresponding to the second candidate parameter set are the same.

[0316] As one embodiment, whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0317] As an example, when the remaining processing capacity of the first node meets the requirements of the processing capacity associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the first node does not meet the requirements of the processing capacity associated with the first signaling, the first parameter set is the second candidate parameter set.

[0318] As one embodiment, the first domain set indicates whether the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0319] As one example, the remaining processing power includes computing power.

[0320] As one example, the remaining processing capacity includes: storage capacity.

[0321] As one example, the remaining processing capacity includes: battery power.

[0322] As one example, the remaining processing capacity includes: AI models.

[0323] As one example, the remaining processing capacity includes: AI model performance.

[0324] As an example, the processing capability associated with the first signaling refers to the processing capability required to receive the first signaling.

[0325] As an example, the processing capability associated with the first signaling refers to the processing capability required to decode the first signaling.

[0326] As an example, the processing capability associated with the first signaling refers to the processing capability required to generate the scheduling information indicated by the first signaling.

[0327] As an example, the processing capability associated with the first signaling refers to the processing capability required to modulate the first wireless channel.

[0328] As an example, the processing capability associated with the first signaling refers to the processing capability required to encode the first wireless channel.

[0329] As an example, the processing capability associated with the first signaling refers to the processing capability required to transmit the first wireless channel.

[0330] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can be used for inference.

[0331] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can be used for prediction.

[0332] As an example, the remaining processing capacity of the first node refers to the processing capacity of the first node that can be used for inference-based uplink scheduling.

[0333] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can be used for inference-based data channel generation.

[0334] As an example, the remaining processing capacity of the first node refers to the processing capacity of the first node that can be used for inference-based coding.

[0335] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to receive the first signaling before receiving the first signaling.

[0336] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to decode the first signaling before decoding the first signaling.

[0337] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to generate the first wireless channel before generating the first wireless channel.

[0338] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to modulate the first wireless channel before modulating the first wireless channel.

[0339] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to encode the first wireless channel before encoding the first wireless channel.

[0340] As an example, the remaining processing capacity of the first node refers to the processing capacity that the first node can use to transmit the first wireless channel before transmitting the first wireless channel.

[0341] As an example, the remaining processing capacity of the first node refers to the processing capacity of the first node that can be used for AI.

[0342] As an example, the remaining processing capacity of the first node refers to the processing capacity of the first node that can be used for ML.

[0343] As an example, the remaining processing capacity of the first node refers to the unused processing capacity of the first node.

[0344] As an example, the remaining processing capacity of the first node depends on the total processing capacity of the first node and the processing capacity of the first node that has been occupied.

[0345] As an example, the number of processing capacity units corresponding to the remaining processing capacity of the first node is equal to the total number of processing capacity units of the first node minus the number of processing capacity units that have already been occupied by the first node.

[0346] As an example, the remaining processing capacity of the first node depends on the unoccupied processing capacity of the first node.

[0347] As one example, the remaining processing capacity of the first node depends on the unused processing capacity of the first node.

[0348] As an example, "unoccupied" means: free.

[0349] As an example, "unoccupied" means: not used for storage.

[0350] As an example, "unoccupied" means "unallocated".

[0351] As an example, "unoccupied" means: available but not used.

[0352] Example 2

[0353] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0354] Figure 2 illustrates network architecture 200. Network architecture 200 is the network architecture for LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced), 5G systems, 5G-Advanced, and future 6G systems. The network architectures for LTE, LTE-A, 5G systems, 5G-Advanced, and future 6G systems are referred to as EPS (Evolved Packet System). The 5G NR or LTE network architecture may be referred to as 5GS (5G System) / EPS or some other suitable terminology; the 6G network architecture may be referred to as 6GS (6G System) / EPS or some other suitable terminology.

[0355] The network architecture 200 may include one or more UEs 201, a RAN (Radio Access Network) 202, a core network 210, an HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and an Internet service 230. The network architecture 200 may interconnect with other access networks, but these entities / interfaces are not shown for simplicity.

[0356] As shown in Figure 2, the network architecture 200 provides packet switching services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN 202 includes Node B 203 and other nodes 204. Node B 203 provides user and control plane protocol termination toward the UE 201. Node B 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul). Node B 203 may also be referred to as eNB (evolved Node B), gNB, base station, base transceiver station, radio base station, radio transceiver, transceiver function, Basic Service Set (BSS), Extended Service Set (ESS), TRP (Transmitter Receiver Point), or some other suitable term. Node B 203 provides UE 201 with an access point to the core network 210; the core network 210 is a 5GC (5G Core network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC (6G Core network). Examples of the UE 201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, GPS devices, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband physical network devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to the UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, radio terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. The Node B 203 is connected to the core network 210 via an S1 / NG interface.The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. The Internet service 230 includes carrier-compliant Internet protocol services, specifically including the Internet, intranet, IMS (IP Multimedia Subsystem), and packet-switched streaming services.

[0357] As an example, the first node in this application includes the UE 201.

[0358] As an example, the second node in this application includes node B 203.

[0359] As an example, node B 203 is a macrocell base station.

[0360] As an example, node B 203 is a microcell base station.

[0361] As an example, node B 203 is a pico cell base station.

[0362] As an example, node B 203 is a femtocell.

[0363] As an example, node B 203 is a base station device that supports large latency differences.

[0364] As an example, node B 203 is a flight platform device.

[0365] As an example, node B 203 is a satellite device.

[0366] As one embodiment, the node B 203 is a test device (e.g., a transceiver device simulating part of the base station's functions, a signaling tester).

[0367] As an example, the UE 201 includes a mobile phone.

[0368] As an example, the UE 201 is a vehicle including a car.

[0369] As an example, the wireless link from the UE 201 to the node B 203 is an uplink, which is used to perform uplink transmissions.

[0370] As an example, the radio link from the node B 203 to the UE 201 is a downlink, which is used to perform downlink transmissions.

[0371] As an example, the wireless link between the node B 203 and the UE 201 includes a cellular link.

[0372] As an example, the node B 203 and the UE 201 are connected via the Uu air interface.

[0373] As an example, the sender of the first signaling in this application includes the node B 203.

[0374] As an example, the recipient of the first signaling in this application includes the UE 201.

[0375] As an example, in this application, the first wireless channel is generated and transmitted, and the sender of the first wireless channel includes the UE 201.

[0376] As an example, in this application, the first wireless channel is generated and transmitted, and the receiver of the first wireless channel includes the node B 203.

[0377] As an example, the sender of the first information block in this application includes the UE 201.

[0378] As an example, the recipient of the first information block in this application includes the node B 203.

[0379] As an example, the node B 203 supports the deployment of network-side (NW-side) AI / ML models.

[0380] As an example, the UE 201 supports the deployment of UE-side AI / ML models.

[0381] As an example, the UE 201 supports a 5G system.

[0382] As an example, the node B 203 supports a 5G system.

[0383] As an example, the UE 201 supports at least a 6G system.

[0384] As an example, the node B 203 supports at least a 6G system.

[0385] Example 3

[0386] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in Figure 3.

[0387] Figure 3 is a schematic diagram illustrating an embodiment of the wireless protocol architecture for the user plane 350 and the control plane 300. Figure 3 shows the wireless protocol architecture for the control plane 300 between a first communication node device (UE or RSU in V2X, onboard equipment or onboard communication module) and a second node device (gNB, RSU in UE or V2X, onboard equipment or onboard communication module), or between two UEs, using three layers: Layer 1 (L1), Layer 2 (L2), and Layer 3 (L3). L1 is the lowest layer and implements various PHY (Physical layer) signal processing functions. L1 will be referred to herein as PHY 301. L2 305 is above PHY 301 and is responsible for the link between the first node device and the second node device, or between two UEs, through PHY 301. L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ (Hybrid Automatic Repeat reQuest). The MAC sublayer 302 provides multiplexing between logical and transport channels. It is also responsible for allocating various radio resources (e.g., resource blocks) within a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in L3 of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and using RRC signaling between the second communication node device and the first communication node device to configure the lower layer.The wireless protocol architecture of user plane 350 includes Layer 1 (L1) and Layer 2 (L2). The wireless protocol architecture for the first and second communication node devices in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 355, RLC sublayer 353 in L2 355, and MAC sublayer 352 in L2 355. However, PDCP sublayer 354 also provides header compression for upper-layer packets to reduce wireless transmission overhead. L2 355 in user plane 350 also includes SDAP (Service Data Adaptation Protocol) sublayer 356. SDAP sublayer 356 is responsible for mapping between QoS (Quality of Service) streams and Data Radio Bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above L2 355, including a network layer (e.g., IP (Internet Protocol) layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., remote UE, server, etc.).

[0388] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node in this application.

[0389] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node in this application.

[0390] As an example, in this application, the first signaling is generated in the RRC 306.

[0391] As an example, in this application, the first signaling is generated in MAC 302 or MAC 352.

[0392] As an example, in this application, the first signaling is generated in the PHY 301 or the PHY 351.

[0393] As an example, in this application, the first wireless channel is generated in the RRC 306.

[0394] As an example, in this application, the first wireless channel is generated by MAC 302 or MAC 352.

[0395] As an example, in this application, the first wireless channel is generated in the PHY 301 or the PHY 351.

[0396] As an example, in this application, the first information block is generated in the RRC 306.

[0397] As an example, in this application, the first information block is generated in MAC 302 or MAC 352.

[0398] As an example, in this application, the first information block is generated in the PHY 301 or the PHY 351.

[0399] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0400] As an example, the higher layer described in this application includes the RRC layer.

[0401] As an example, the higher-layer signaling described in this application includes RRC IE.

[0402] As an example, the higher-level signaling described in this application includes RRC messages.

[0403] As an example, the higher layer described in this application includes the MAC layer.

[0404] As an example, the higher-layer signaling described in this application includes MAC CE.

[0405] Example 4

[0406] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in Figure 4. Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0407] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0408] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0409] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 functionality. In the DL, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for L1 (i.e., the physical layer). Transmit processor 416 performs encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and mapping of signal clusters based on various modulation schemes (e.g., Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), M-PSK, and M-Quadrature Amplitude Modulation (M-QAM)). Multi-antenna transmit processor 471 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 parallel streams. The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0410] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 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 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various L1 signal processing functions. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) 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 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted by the first communication device 410 over the physical channel. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements L2 functionality. The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above L2. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0411] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper-layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above L2. Similar to the transmission functions at the first communication device 410 described in the DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, implementing L2 functions for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0412] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 function. The controller / processor 475 implements the L2 function. The controller / processor 475 may be associated with a memory 476 storing program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0413] As one embodiment, the second communication device 450 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. The second communication device 450 at least receives the first signaling in this application, the first signaling indicating scheduling information for the first wireless channel in this application; transmits the first wireless channel; the scheduling information for the first wireless channel includes a first set of parameters, the first set of parameters being one of a first candidate set of parameters or a second candidate set of parameters; the first candidate set of parameters and the second candidate set of parameters are different; whether the first set of parameters is the first candidate set of parameters or the second candidate set of parameters depends on whether the remaining processing capacity of the second communication device 450 meets the processing capacity requirements associated with the first signaling.

[0414] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that produces actions when executed by at least one processor, the actions including: receiving the first signaling in this application; and transmitting the first wireless channel in this application.

[0415] As one embodiment, the first communication device 410 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. The first communication device 410 at least transmits the first signaling in this application, the first signaling indicating scheduling information of the first wireless channel in this application; and receives the first wireless channel; wherein the scheduling information of the first wireless channel includes a first parameter set, the first parameter set being one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the second communication device 450 meets the processing capacity requirements associated with the first signaling.

[0416] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that produces actions when executed by at least one processor, the actions including: sending the first signaling in this application; and receiving the first wireless channel in this application.

[0417] As an example, the first node in this application includes the second communication device 450.

[0418] As an example, the second node in this application includes the first communication device 410.

[0419] As an example, at least one of {the antenna 420, the transmitter 418, the transmitter processor 416, the multi-antenna transmitter processor 471, the controller / processor 475, and the memory 476} is used to transmit the first signaling in this application; at least one of {the antenna 452, the receiver 454, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signaling in this application.

[0420] As an example, at least one of the following is used to transmit the first wireless channel in this application: {the antenna 452, the transmitter / receiver 454, the transmitting processor 468, the receiving processor 456, the multi-antenna transmitting processor 457, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467}.

[0421] As an example, at least one of the following is used to transmit the first information block in this application: {the antenna 452, the transmitter / receiver 454, the transmitting processor 468, the receiving processor 456, the multi-antenna transmitting processor 457, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467}. At least one of the following is used to receive the first information block in this application: {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476}.

[0422] Example 5

[0423] Example 5 illustrates a first flowchart of transmission between a first node and a second node according to an embodiment of this application, as shown in Figure 5. In Figure 5, the first node U1 and the second node N2 communicate via a wireless link. It should be noted that the order in this embodiment does not limit the signal transmission order or the order of implementation in this application.

[0424] For the first node U1, the first signaling is received in step S510; the first wireless channel is transmitted in step S511.

[0425] For the second node N2, a first signaling is sent in step S520; and a first wireless channel is received in step S521.

[0426] In embodiment 5, the first signaling indicates scheduling information of the first wireless channel; the scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node U1 meets the processing capacity requirements associated with the first signaling.

[0427] As an example, the first node U1 is the first node in this application.

[0428] As an example, the second node N2 is the second node in this application.

[0429] As one embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between the base station equipment and the user equipment.

[0430] As one embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between the relay node device and the user equipment.

[0431] As one embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between user equipment and user equipment.

[0432] As one example, the second node N2 and the first node U1 communicate via the Uu interface.

[0433] As one example, the second node N2 is the maintenance base station of the serving cell of the first node U1.

[0434] As an example, the physical layer channel occupied by the first signaling includes the PDCCH (Physical Downlink Control Channel).

[0435] As an example, the physical layer channel occupied by the first signaling includes PDSCH (Physical Downlink Shared Channel).

[0436] As one embodiment, the transmission channel carried by the first wireless channel includes UL-SCH.

[0437] As an example, the physical layer channels occupied by the first wireless channel include PUSCH.

[0438] As an example, step S510 precedes step S511; step S521 precedes step S521.

[0439] Example 6

[0440] Example 6 illustrates a second flowchart of transmission between a first node and a second node according to an embodiment of this application, as shown in Figure 6. In Figure 6, the first node U3 and the second node N4 communicate via a wireless link. It should be noted that the order in this embodiment does not limit the signal transmission order or the order of implementation in this application.

[0441] For the first node U3, the first information block is sent in step S630.

[0442] For the second node N4, the first information block is received in step S640.

[0443] In Embodiment 6, the first information block indicates whether the remaining processing capacity of the first node U3 meets the processing capacity requirements associated with the first signaling.

[0444] As an example, the first node U3 is the first node in this application.

[0445] As an example, the second node N4 is the second node in this application.

[0446] As one embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between the base station equipment and the user equipment.

[0447] As one embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between the relay node device and the user equipment.

[0448] As one embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between user equipment and user equipment.

[0449] As one example, the second node N4 and the first node U3 communicate via the Uu interface.

[0450] As one example, the second node N4 is the sustaining base station for the serving cell of the first node U3.

[0451] As an example, the first information block indicates whether the remaining processing capacity of the first node U3 meets the processing capacity requirements associated with the first signaling.

[0452] As an example, the first information block includes a bit indicating whether the remaining processing capacity of the first node U3 meets the processing capacity associated with the first signaling.

[0453] As a sub-implementation of this embodiment, when one bit is 0, the first information block indicates that the remaining processing capacity of the first node U3 does not meet the processing capacity associated with the first signaling; when one bit is 1, the first information block indicates that the remaining processing capacity of the first node U3 meets the processing capacity associated with the first signaling.

[0454] As a sub-implementation of this embodiment, when one bit is 1, the first information block indicates that the remaining processing capacity of the first node U3 does not meet the processing capacity associated with the first signaling; when one bit is 0, the first information block indicates that the remaining processing capacity of the first node U3 meets the processing capacity associated with the first signaling.

[0455] As an example, the first information block includes two bits, which indicate whether the remaining processing capacity of the first node U3, as indicated by the first information block, satisfies the processing capacity associated with the first signaling.

[0456] As a sub-implementation of this embodiment, when the two bits are 00, the first information block indicates that the remaining processing capacity of the first node U3 does not meet the processing capacity associated with the first signaling; when the two bits are 11, the first information block indicates that the remaining processing capacity of the first node U3 meets the processing capacity associated with the first signaling.

[0457] As a sub-implementation of this embodiment, when the two bits are 11, the first information block indicates that the remaining processing capacity of the first node U3 does not meet the processing capacity associated with the first signaling; when the two bits are 00, the first information block indicates that the remaining processing capacity of the first node U3 meets the processing capacity associated with the first signaling.

[0458] As a sub-implementation of this embodiment, when the two bits are 01, the first information block indicates that the remaining computing power of the first node U3 does not meet the computing power associated with the first signaling; when the two bits are 10, the first information block indicates that the remaining storage power of the first node U3 does not meet the storage power associated with the first signaling.

[0459] As a sub-implementation of this embodiment, when the two bits are 10, the first information block indicates that the remaining computing power of the first node U3 does not meet the computing power associated with the first signaling; when the two bits are 01, the first information block indicates that the remaining storage power of the first node U3 does not meet the storage power associated with the first signaling.

[0460] As an example, the first information block includes a bit indicating that the first parameter set is the first candidate parameter set or the first parameter set is the second candidate parameter set.

[0461] As an example, the first information block includes a bit, which indicates that the first node U3 generates and transmits the first wireless channel based on the first candidate parameter set or the first node U3 generates and transmits the first wireless channel based on the second candidate parameter set.

[0462] As a sub-implementation of this embodiment, when one bit is 0, the first information block indicates that the first node U3 generates and transmits the first wireless channel based on the first candidate parameter set; when one bit is 1, the first information block indicates that the first node U3 generates and transmits the first wireless channel based on the second candidate parameter set.

[0463] As a sub-implementation of this embodiment, when one bit is 1, the first information block indicates that the first node U3 generates and transmits the first wireless channel based on the first candidate parameter set; when one bit is 0, the first information block indicates that the first node U3 generates and transmits the first wireless channel based on the second candidate parameter set.

[0464] As an example, the first information block instructs the first node U3 to send the power information used by the first wireless channel.

[0465] As an example, the first information block instructs the first node U3 to send the code domain information used by the first wireless channel.

[0466] As an example, the first information block indicates the encoding method used by the first node U3 to transmit the first wireless channel.

[0467] As an example, the first information block indicates whether the first wireless channel is generated based on inference.

[0468] As an example, the first information block indicates whether the first wireless channel is generated based on AI / ML encoding.

[0469] As an example, the first information block indicates whether AI / ML is included in the first wireless channel generation process.

[0470] As an example, the first information block does not indicate whether the first wireless channel carries information generated based on AI / ML inference.

[0471] As one embodiment, the first information block indicates the code rate of the first wireless channel.

[0472] As an example, does the process of mapping the transmission channel carried by the first wireless channel to the physical layer channel occupied by the first wireless channel include an AI inference process?

[0473] As one embodiment, the transmission channel occupied by the first information block includes UL-SCH.

[0474] As an example, the physical layer channel occupied by the first information block includes PUSCH.

[0475] As an example, the physical layer channel occupied by the first information block includes PUCCH (Physical Uplink Control Channel).

[0476] As an example, the first information block is transmitted through the first wireless channel.

[0477] As an example, step S630 is performed before step S511; step S640 is performed before step S521.

[0478] As an example, step S630 is part of step S511, and step S630 and step S511 occur simultaneously.

[0479] As an example, step S640 is part of step S521, and step S640 and step S521 occur simultaneously.

[0480] Example 7

[0481] Example 7 illustrates a first schematic diagram of a first node according to an embodiment of this application when its remaining processing capacity meets the processing capacity requirement associated with the first signaling, as shown in Figure 7. In Figure 7, the cross-filled rectangle represents the remaining processing capacity of the first node, and the diamond-filled rectangle represents the processing capacity associated with the first signaling; when the remaining processing capacity of the first node is not less than the processing capacity associated with the first signaling, the remaining processing capacity of the first node meets the processing capacity requirement associated with the first signaling.

[0482] As an example, when the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling, the first parameter set is the second candidate parameter set.

[0483] As one example, the processing power includes the computing power required.

[0484] As one example, the processing capacity includes the capacity required for storage.

[0485] As one example, the processing capabilities include the capabilities required for reading and writing.

[0486] As one example, the processing capability includes the capabilities required for process control.

[0487] As one example, the processing capability includes data interaction capability.

[0488] As one example, the processing power includes memory bandwidth.

[0489] As one example, the processing capability includes computing resources.

[0490] As one example, the processing capability includes cache resources.

[0491] As one example, the processing capability includes bandwidth resources.

[0492] As one example, the processing capability includes reading and writing resources.

[0493] As one example, the processing capability includes register resources.

[0494] As one embodiment, the processing capacity includes the power of the first node.

[0495] As one example, the processing capability includes activated functionality.

[0496] As one example, the processing capability includes an activated AI model.

[0497] As an example, when the activated functionality of the first node includes the first encoder, the remaining processing capacity of the first node satisfies the processing capacity requirements associated with the first signaling; otherwise, the remaining processing capacity of the first node does not satisfy the processing capacity requirements associated with the first signaling.

[0498] As an example, when the performance parameters of the first encoder of the first node are better than or no worse than a first performance threshold, the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling; otherwise, the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling.

[0499] As a sub-implementation of this embodiment, "better than or no worse than" means: greater than or no less than.

[0500] As a sub-implementation of this embodiment, "better than" or "not worse than" means: less than or not greater than.

[0501] As a sub-example of this embodiment, the performance parameter is the KPI (Key Performance Indicator) of the first encoder.

[0502] As a sub-example of this embodiment, the performance parameter is the KPI of the AI ​​model, AI entity, or functionality corresponding to the first encoder.

[0503] As a sub-implementation of this embodiment, the first performance threshold is predefined, or the first performance threshold is configured by a higher-layer signaling, or the first performance threshold is implementation-dependent.

[0504] As an example, when the battery level of the first node is not less than a first battery threshold, the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling; otherwise, the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling; the first battery threshold is predefined or implementation-related.

[0505] As an example, when the number of units corresponding to the remaining processing capacity of the first node is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the first node satisfies the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the first node does not satisfy the requirements of the processing capacity associated with the first signaling.

[0506] As an example, the number of units corresponding to the remaining processing capacity of the first node is a non-negative integer.

[0507] As an example, the number of units corresponding to the total processing capacity of the first node is a positive integer.

[0508] As an example, the number of units corresponding to the total processing capacity of the first node depends on the capability of the first node.

[0509] As an example, the number of units corresponding to the processing capability associated with the first signaling is a positive integer.

[0510] As an example, generating the first wireless channel requires at least one unit corresponding to the processing capability.

[0511] As an example, the number of units corresponding to the processing capability required to generate a wireless channel based on the first set of candidate parameters is a positive integer.

[0512] As an example, the number of units corresponding to the processing capability required to generate the wireless channel based on the second set of candidate parameters is a positive integer.

[0513] As an example, the number of units corresponding to the processing capability required to generate the wireless channel based on the second set of candidate parameters is a non-negative integer.

[0514] As one embodiment, the unit corresponding to the processing capability is used for at least one of processing, calculation, or reasoning.

[0515] As one example, the unit corresponding to the processing capacity is used for storage.

[0516] As one example, the unit corresponding to the processing capability is used for reading and writing.

[0517] As one example, the unit corresponding to the processing capability is used for data interaction.

[0518] As an example, the unit corresponding to the processing capability is used for at least addition and multiplication operations.

[0519] As one example, the unit corresponding to the processing capability is used for at least convolution operations.

[0520] As an example, the unit corresponding to one of the processing capabilities is atomic.

[0521] As an example, one unit corresponding to the processing capability belongs to one processing unit.

[0522] As an example, one unit corresponding to the processing capability is a processing unit.

[0523] As an example, one unit corresponding to the processing capability is a process.

[0524] As an example, one unit corresponding to the processing capability is a storage unit.

[0525] As an example, one unit corresponding to the processing capability is a calculation unit.

[0526] As an example, one unit corresponding to the processing capability is an Arithmetic and Logic Unit (ALU).

[0527] As an example, one unit corresponding to the processing capability is a Special Function Unit (SFU).

[0528] As an example, one unit corresponding to the processing capability corresponds to one NPU (Neural Network Processing Unit).

[0529] As an example, one unit corresponding to the processing capability corresponds to one IPU (Inference Processing Unit).

[0530] As an example, one unit corresponding to the processing capability corresponds to one CPU.

[0531] As an example, the CPU mentioned in this application refers to: Central Processing Unit.

[0532] As an example, the CPU mentioned in this application refers to: Coding Processing Unit.

[0533] As an example, one unit corresponding to the processing capability corresponds to one APU.

[0534] As an example, the APU mentioned in this application refers to: Accelerated Processing Unit.

[0535] As an example, the APU mentioned in this application refers to: AI / ML Processing Unit, AI / ML processor.

[0536] Example 8

[0537] Example 8 illustrates a second schematic diagram of a first node according to an embodiment of this application, where the remaining processing capacity of the first node meets the processing capacity requirement associated with the first signaling, as shown in Figure 8. In Figure 8, the rectangle filled with horizontal lines represents the remaining storage capacity of the first node, and the rectangle filled with the lower diagonal represents the storage capacity associated with the first signaling; the rectangle filled with vertical lines represents the remaining computing capacity of the first node, and the rectangle filled with the upper diagonal represents the computing capacity associated with the first signaling; when the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the first node meets the processing capacity requirement associated with the first signaling.

[0538] In Example 8, the remaining processing capacity of the first node corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity.

[0539] As an example, the remaining processing capacity of the first node corresponds to the remaining storage capacity and the remaining computing capacity.

[0540] As one embodiment, the processing capability associated with the first signaling corresponds to the associated storage capability and the associated computing capability.

[0541] As an example, when the remaining storage capacity is not less than the associated storage capacity, and the remaining computing capacity is not less than the associated computing capacity, the remaining processing capacity of the first node satisfies the processing capacity requirements associated with the first signaling.

[0542] As an example, when the remaining storage capacity is less than the associated storage capacity, or when the remaining computing capacity is less than the associated computing capacity, the remaining processing capacity of the first node satisfies the processing capacity requirement associated with the first signaling.

[0543] As an example, when the remaining storage capacity is less than the associated storage capacity, the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling.

[0544] As an example, the meaning of "the remaining storage capacity is less than the associated storage capacity" includes: the number of units corresponding to the remaining storage capacity is less than the number of units corresponding to the associated storage capacity.

[0545] As one example, the storage capacity includes the capacity required to store parameters or intermediate variables.

[0546] As an example, the storage capacity includes the ability to store at least one of the following: the inference input, the inference output, the intermediate inference result, or the AI ​​model corresponding to the AI / ML function.

[0547] As one example, the storage capacity includes the capacity required for storing process control parameters.

[0548] As one example, the storage capacity includes the capacity required for reading and writing.

[0549] As one example, the storage capability includes data interaction capability.

[0550] As one example, the storage capacity includes bandwidth capacity.

[0551] As one example, the storage capacity includes read and write resources.

[0552] As one example, the storage capacity includes memory bandwidth.

[0553] As one example, the storage capacity includes cache resources.

[0554] As one example, the storage capacity includes register resources.

[0555] As one example, the storage capacity includes multi-level storage resources.

[0556] As one embodiment, a unit corresponding to one of the storage capabilities includes a portion of each level of storage resources in a multi-level storage resource.

[0557] As an example, one unit corresponding to the storage capacity is a storage unit.

[0558] As an example, one unit corresponding to the storage capacity is a cache resource.

[0559] As an example, one unit corresponding to the storage capacity is a register.

[0560] As one embodiment, a unit corresponding to one of the storage capabilities includes at least one register.

[0561] As an example, the storage resources of the first node are divided into L levels; L is a positive integer greater than 1, and L is predefined or the value of L depends on the capabilities of the first node.

[0562] As a sub-example of this embodiment, the storage capacity refers to the sum of the L levels of storage resources included in the first node.

[0563] As a sub-implementation of this embodiment, a unit corresponding to one of the storage capabilities includes a portion of the storage resources of each of the L levels of storage resources included in the first node.

[0564] As a sub-example of this embodiment, the storage capacity refers to one level of storage resources among the L levels of storage resources included in the first node.

[0565] As a sub-implementation of this embodiment, a unit corresponding to one of the storage capabilities includes a portion of the storage resources of one of the L levels of storage resources included in the first node.

[0566] As an additional embodiment of the above two sub-implementations, the level is any one of the L levels.

[0567] As an additional embodiment of the above two sub-implementations, the level is the lowest level among the L levels.

[0568] As an additional embodiment of the above two sub-implementations, the level is the highest level among the L levels.

[0569] As an additional embodiment of the above two sub-implementations, the level is a predefined level among the L levels.

[0570] As an additional embodiment of the two sub-implementations described above, the level is a level indicated by the base station.

[0571] As an example, in implementation, the resource corresponding to the storage capacity can be a physical device or component; specifically, it can be a hard disk, memory, disk drive, or CPU, etc.

[0572] As an example, when the remaining computing power is less than the associated computing power, the remaining processing power of the first node does not meet the processing power requirements associated with the first signaling.

[0573] As an example, the meaning of "the remaining computing power is less than the associated computing power" includes: the number of units corresponding to the remaining computing power is less than the number of units corresponding to the associated computing power.

[0574] As one example, the computing power includes the resources required for computation.

[0575] As one example, the computing power includes computing resources.

[0576] As one example, the computing power includes computing resources.

[0577] As one embodiment, the computing power is used for at least one of processing, computation, or reasoning.

[0578] As one example, the computing power is used for at least addition and multiplication operations.

[0579] As an example, the computing power is used for at least convolution operations.

[0580] As an example, one unit corresponding to the computing power is a computing unit.

[0581] As an example, one unit corresponding to the computing power is an arithmetic logic unit.

[0582] As an example, one unit corresponding to the computing power is a special function unit.

[0583] As an example, one unit corresponding to the computing power is an NPU.

[0584] As an example, one unit corresponding to the computing power is an IPU.

[0585] As an example, one unit corresponding to the computing power is a CPU.

[0586] As an example, one unit corresponding to the computing power is an APU.

[0587] As an example, the operation of a unit corresponding to one of the computing capabilities is atomic.

[0588] Example 9

[0589] Example 9 illustrates a schematic diagram of a first parameter according to an embodiment of this application, as shown in Figure 9. In Figure 9, the first parameter set includes a first parameter indicating the MCS used by the first wireless channel.

[0590] As an example, MCS refers to Modulation and Coding Scheme.

[0591] As an example, the first parameter set includes a first parameter, which indicates the MCS used by the first wireless channel.

[0592] As one embodiment, the scheduling information of the first wireless channel includes MCS.

[0593] As one embodiment, the scheduling information of the first wireless channel includes IMCS.

[0594] As an example, the specific definition of IMCS in this application can be found in 3GPP (3rd Generation Partnership Project) TS (Technical Specification) 38.214V18.0.0.

[0595] As an example, the scheduling information of the first wireless channel includes the MCS indicated by the first signaling.

[0596] As one embodiment, the scheduling information of the first wireless channel includes the MCS used by the first wireless channel.

[0597] As an example, the first parameter is the MCS used by the first wireless channel.

[0598] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set correspond to the same IMCS.

[0599] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set are values ​​of different target code rates under the same IMCS.

[0600] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set correspond to different MCS.

[0601] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set correspond to different MCS tables.

[0602] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set correspond to the same MCS Index under different MCS tables.

[0603] As a sub-implementation of the two embodiments described above, the MCS table corresponding to the first parameter in the first candidate parameter set is at least used for the generation of inference-based wireless channels.

[0604] As a sub-implementation of the two embodiments described above, the MCS table corresponding to the first parameter in the second candidate parameter set is used for the generation of wireless channels that are not based on inference.

[0605] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set are values ​​of different MCS Indexes under the same MCS table.

[0606] As a sub-implementation of this embodiment, the MCS Index corresponding to the first parameter in the first candidate parameter set is the IMCS indicated by the first signaling.

[0607] As a sub-implementation of this embodiment, the MCS Index corresponding to the first parameter in the second candidate parameter set depends on the IMCS indicated by the first signaling and the first offset integer; the first offset integer is predefined, or the first offset integer is a default, or the first offset integer is configured by a higher-layer signaling.

[0608] As an additional embodiment of this sub-example, the MCS Index corresponding to the first parameter in the second candidate parameter set depends on the IMCS indicated by the first signaling plus a first offset integer.

[0609] As an additional embodiment of this sub-example, the MCS Index corresponding to the first parameter in the second candidate parameter set depends on the IMCS indicated by the first signaling minus the first offset integer.

[0610] As an example, the first parameter in the first candidate parameter set and the first parameter in the second candidate parameter set are values ​​from different rows under the same MCS table.

[0611] As an example, the first parameter in the first candidate parameter set is the MCS indicated by the first signaling.

[0612] As a sub-implementation of this embodiment, the first parameter in the second candidate parameter set is a predefined MCS.

[0613] As a sub-implementation of this embodiment, the first parameter in the second candidate parameter set is the default MCS.

[0614] As a sub-implementation of this embodiment, the first parameter in the second candidate parameter set is the MCS of the higher-layer signaling configuration.

[0615] As a sub-implementation of this embodiment, the first parameter in the second candidate parameter set is the MCS implicitly indicated by the first signaling, the implicit indication including indirect indication by indicating higher-level signaling or by indicating a predefined offset.

[0616] Example 10

[0617] Example 10 illustrates a schematic diagram of a second parameter according to an embodiment of this application, as shown in Figure 10. In Figure 10, the first parameter set includes the second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

[0618] As one embodiment, the first parameter set includes a second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

[0619] As one embodiment, the first parameter set includes a second parameter, which indicates the code rate used by the first wireless channel.

[0620] As an example, the first parameter set includes a second parameter, which indicates the code rate and encoding method used by the first wireless channel.

[0621] As one embodiment, the scheduling information of the first wireless channel includes the code rate.

[0622] As one embodiment, the scheduling information of the first wireless channel includes an encoding method.

[0623] As one embodiment, the scheduling information of the first wireless channel includes the code rate indicated by the first signaling.

[0624] As one embodiment, the scheduling information of the first wireless channel includes the code rate used by the first wireless channel.

[0625] As one embodiment, the scheduling information of the first wireless channel includes the encoding method of the first signaling indication.

[0626] As one embodiment, the scheduling information of the first wireless channel includes the encoding method used by the first wireless channel.

[0627] As one embodiment, the second parameter includes the code rate used by the first wireless channel.

[0628] As one embodiment, the second parameter indicates whether the first wireless channel uses high code rate coding.

[0629] As one embodiment, the second parameter is the code rate used by the first wireless channel.

[0630] As an example, the second parameter in the first candidate parameter set and the second parameter in the second candidate parameter set correspond to the same target code rate.

[0631] As a sub-implementation of this embodiment, the second parameter in the first candidate parameter set and the second parameter in the second candidate parameter set correspond to different actual bit rates.

[0632] As an example, the second parameter in the first candidate parameter set and the second parameter in the second candidate parameter set correspond to different target code rates.

[0633] As an example, the second parameter in the first candidate parameter set and the second parameter in the second candidate parameter set are the actual bitrate and the target bitrate, respectively.

[0634] As an example, the second parameter in the first set of candidate parameters corresponds to the code rate used for generating the inference-based wireless channel.

[0635] As an example, the second parameter in the second candidate parameter set corresponds to the code rate used for generating a non-inference-based wireless channel.

[0636] As an example, the second parameter in the first candidate parameter set is the code rate used by the first wireless channel indicated by the first signaling.

[0637] As a sub-implementation of this embodiment, the second parameter in the second candidate parameter set is a predefined bitrate.

[0638] As a sub-implementation of this embodiment, the second parameter in the second candidate parameter set is the default bitrate.

[0639] As a sub-implementation of this embodiment, the second parameter in the second candidate parameter set is the code rate of the higher-layer signaling configuration.

[0640] As a sub-implementation of this embodiment, the second parameter in the second candidate parameter set is the code rate implicitly indicated by the first signaling, and the implicit indication includes indirect indication by indicating higher-layer signaling or by indicating a predefined offset.

[0641] As one embodiment, the second parameter includes the encoding method used by the first wireless channel.

[0642] As an example, the second parameter indicates whether the physical layer process for generating the first wireless channel includes the output of the first encoder in this application.

[0643] As an example, the second parameter in the first candidate parameter set indicates that the first wireless channel uses source-channel joint coding, and the second parameter in the second candidate parameter set indicates that the source coding and channel coding for generating the first wireless channel are independent.

[0644] As an example, the second parameter in the first candidate parameter set and the second parameter in the second candidate parameter set respectively indicate different encoding methods.

[0645] As an example, the second parameter in the first candidate parameter set indicates that the encoder of the first wireless channel is the first encoder in this application; the second parameter in the second candidate parameter set indicates that the encoder of the first wireless channel is the second encoder in this application.

[0646] Example 11

[0647] Example 11 illustrates a schematic diagram of a third parameter according to an embodiment of this application, as shown in Figure 11. In Figure 11, the first parameter set includes the third parameter, which indicates the transmit power value used by the first wireless channel.

[0648] As one embodiment, the scheduling information of the first wireless channel includes a transmit power value.

[0649] As one embodiment, the scheduling information of the first wireless channel includes power control parameters.

[0650] As one embodiment, the scheduling information of the first wireless channel includes parameter set configuration for power control.

[0651] As an example, the specific definition of the parameter set configuration in this application can be found in Chapter 7 of 3GPP TS 38.214.

[0652] As an example, the scheduling information of the first wireless channel includes P0.

[0653] As an example, the specific definition of P0 in this application can be found in Chapter 7 of 3GPP TS 38.214.

[0654] As one embodiment, the scheduling information of the first wireless channel includes alpha.

[0655] As an example, the specific definition of alpha in this application can be found in Chapter 7 of 3GPP TS 38.214.

[0656] As one embodiment, the scheduling information of the first wireless channel includes SRI.

[0657] As an example, the third parameter in the second set of candidate parameters is predefined.

[0658] As an example, the third parameter in the second set of candidate parameters is pre-configured.

[0659] As an example, the third parameter in the second set of candidate parameters is a default value.

[0660] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to the same SRI.

[0661] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to the same SRI being mapped to different SRI-PUSCH-PowerControl.

[0662] As a sub-example of this embodiment, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to the same SRI being mapped to different P0-PUSCH-AlphaSet values ​​and / or alpha values.

[0663] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to P0-PUSCH-AlphaSetForAI; the third parameter in the second candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to P0-PUSCH-AlphaSet.

[0664] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the P0 value of the SRI mapped to P0-PUSCH-SetForAI; the third parameter in the second candidate parameter set corresponds to the P0 value of the SRI mapped to P0-PUSCH-Set.

[0665] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to p0-PUSCH-AlphaForAI; the third parameter in the second candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to p0-PUSCH-Alpha.

[0666] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to p0-PUSCH-AlphaForAI2; the third parameter in the second candidate parameter set corresponds to the P0 value and / or alpha value of the SRI mapped to p0-PUSCH-Alpha2.

[0667] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the parameter set configuration of the SRI mapped to the inference-generated wireless channel; the third parameter in the second candidate parameter set corresponds to the parameter set configuration of the wireless channel not based on inference.

[0668] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to different SRIs.

[0669] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the SRI indicated by the first signaling; the third parameter in the second candidate parameter set corresponds to the default SRI or the third parameter in the second candidate parameter set corresponds to a predefined SRI.

[0670] As an example, the third parameter in the first candidate parameter set is the P0 value and / or alpha value used by the first wireless channel indicated by the first signaling.

[0671] As a sub-example of this embodiment, the third parameter in the second set of candidate parameters is a predefined P0 value and / or alpha value.

[0672] As a sub-example of this embodiment, the third parameter in the second candidate parameter set is a default P0 value and / or alpha value.

[0673] As a sub-implementation of this embodiment, the third parameter in the second set of candidate parameters is the P0 value and / or alpha value of the higher-layer signaling configuration.

[0674] As a sub-implementation of this embodiment, the third parameter in the second candidate parameter set is the P0 value and / or alpha value of the first signaling implicit indication, the implicit indication including indirect indication by indicating higher-level signaling or by indicating a predefined offset.

[0675] As an example, the scheduling information of the first wireless channel includes OLPC (Open-Loop Power Control) parameters.

[0676] As an example, the scheduling information of the first wireless channel includes an open-loop power control parameter set indication.

[0677] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to different open-loop power control parameter set indications.

[0678] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the open-loop power control parameter set indication indicated by the first signaling; the third parameter in the second candidate parameter set corresponds to the default open-loop power control parameter set indication or the third parameter in the second candidate parameter set corresponds to a predefined open-loop power control parameter set indication.

[0679] As one embodiment, the scheduling information of the first wireless channel includes a power control adjustment state.

[0680] As an example, the specific definition of the power control adjustment state in this application can be found in Chapter 7 of 3GPP TS 38.214.

[0681] As one embodiment, the scheduling information of the first wireless channel includes a power control adjustment status index.

[0682] As one embodiment, the scheduling information of the first wireless channel includes an SRS resource set indicator.

[0683] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to different power control adjustment states.

[0684] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the power control adjustment state indicated by the first signaling; the third parameter in the second candidate parameter set corresponds to the default power control adjustment state or the third parameter in the second candidate parameter set corresponds to a predefined power control adjustment state.

[0685] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to different SRS resource set indicators.

[0686] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the SRS resource set indicator indicated by the first signaling; the third parameter in the second candidate parameter set corresponds to the default SRS resource set indicator or the third parameter in the second candidate parameter set corresponds to a predefined SRS resource set indicator.

[0687] As an example, the scheduling information of the first wireless channel includes a TPC (Transmission Power Control) command value.

[0688] As an example, the specific definition of the TPC command value in this application can be found in Chapter 7 of 3GPP TS 38.214.

[0689] As an example, the third parameter in the first candidate parameter set and the third parameter in the second candidate parameter set correspond to the same TPC command field.

[0690] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the TPC command value indicated by the first signaling; the third parameter in the second candidate parameter set corresponds to the default TPC command value or the third parameter in the second candidate parameter set corresponds to a predefined TPC command value.

[0691] As a sub-implementation of this embodiment, the third parameter in the first candidate parameter set corresponds to the TPC command value of the wireless channel generated based on inference; the third parameter in the second candidate parameter set corresponds to the TPC command value of the wireless channel not generated based on inference.

[0692] Example 12

[0693] Example 12 illustrates a schematic diagram of RAN domain AI / ML function deployment according to one embodiment of this application, as shown in Figure 12. In Figure 12, the gNB can be replaced with, for example, an eNB, or a network device such as a 6G base station.

[0694] In Example 12, the management of ML inference functions of multiple base stations is completed by the RAN domain management function 1202, that is, data interaction with the RAN domain MnS (Management Service) consumer / cross-domain management 1201 (as shown by the dashed arrow in Figure 12). The RAN domain ML training function 1203 is located in the RAN domain management function 1202; while the ML inference functions are located in the base stations, that is, the AI / ML inference function 1204 is located in gNB 1205, the AI / ML inference function 1206 is located in gNB 1207, and so on.

[0695] AI / ML related functions include ML training (also known as AI training or AI / ML training), ML testing, and ML inference (also known as AI inference or AI / ML inference), etc. ML training, ML testing, and ML inference functions can be deployed independently or co-located. Deployment of AI / ML related functions can be implemented through software, such as downloading and / or running executable files; or it can be implemented through a combination of software and hardware, such as accelerating specific computing units through hardware to improve computing speed or save power.

[0696] ML training functions can be deployed in a cross-domain management system or a domain-specific management system; the domain-specific management system is used to manage the RAN domain or the CN (Core Network) domain. For example, ML training functions for MDA (Management Data Analytics) can be deployed in MDAF (Management Data Analytic Function); ML training for network data analytics can be deployed in NWDAF (Network Data Analytics Function), meaning the ML training function is an MTLF (Model Training Logical Function).

[0697] The ML inference function can also be deployed in a cross-domain management system or a domain-specific management system; for example, the ML inference function is MDAF, or the ML inference function is AnLF (Analytics Logical Function) located in NWDAF.

[0698] Similarly, ML testing capabilities can also be deployed in cross-domain management systems or domain-specific management systems.

[0699] Optionally, the management of ML inference function can also be completed by the base station itself, that is, each base station can independently interact with the RAN domain MnS consumer / cross-domain management 1201.

[0700] It should be noted that Example 12 is merely a non-limiting implementation; optionally, the ML training function of the RAN domain may also be deployed at the base station; or optionally, some base stations may deploy both the ML inference function and the ML training function of the RAN domain, while some base stations may only deploy the ML inference function.

[0701] As an example, one of the gNBs (or base stations) in Example 12 is the second node of this application.

[0702] Example 13

[0703] Example 13 illustrates a schematic diagram of the deployment of AI / ML functionality in a UE according to one embodiment of this application, as shown in Figure 13. In Figure 13, the RAN domain ML training function 1304 is optional.

[0704] UE function 1303 is deployed in the first node of this application, and the UE function 1303 includes AI / ML inference function 1305; the AI / ML inference function 1305 uses an ML model (also called an AI model) for inference; an ML model is typically trained before being used for AI / ML inference.

[0705] As an example, the UE function 1303 includes a RAN domain ML training function 1304, which runs training data through an ML model to obtain a relevant loss and adjusts the parameters of the ML model based on the calculated loss; the ML training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0706] The above embodiments can reduce the complexity of the base station, or save air interface resources caused by reporting training data; however, the above embodiments place high demands on the processing capabilities of the UE side.

[0707] Optionally, the UE function 1303 also includes a CN domain ML training function (not shown in Figure 13).

[0708] Optionally, the UE function 1303 also includes an AI / ML deployment function—not shown in Figure 13—for loading ML models and data.

[0709] As an example, the first node indicates whether it supports ML training function (RAN domain or CN domain) through capability reporting. The capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[0710] As an example, the ML model and the associated metadata are loaded by the first node from a network device or a remote server.

[0711] Optionally, the UE function 1303 is an MnS producer that provides data to the CN domain MnF (Management Function) and / or the RAN domain MnF and / or the cross-domain management system 1301 for management or analysis (as shown by the double arrow 1302).

[0712] Optionally, the UE function 1303 is an MnS consumer that loads data from the CN domain MnF and / or RAN domain MnF and / or cross-domain management system 1301 for AI / ML-related management, such as managing data requests, ML model activation, and / or ML training (as shown by double arrow 1302).

[0713] As an example, the first wireless channel is obtained through inference by the AI / ML inference function 1305 when the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0714] As an example, when the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling, the transmission channel carried by the first wireless channel is mapped to the physical layer channel through inference by the AI / ML inference function 1305.

[0715] As an example, the ML model is based on NN (Neural Networks).

[0716] As an example, the ML model is based on ANN (Artificial Neural Networks).

[0717] As an example, the ML model is based on CNN (Convolutional Neural Networks).

[0718] As an example, the ML model is based on the LLM (Large Language Model) architecture.

[0719] As an example, the ML model is based on the Transformer architecture.

[0720] As an example, the ML model is based on the GPT (Generative Pre-Trained) architecture.

[0721] As an example, the ML model is based on LSTM (Long Short-Term Memory network).

[0722] As an example, the ML model is based on MLP (MultiLayer Perceptron).

[0723] As an example, the ML model is based on GAN (Generative Adversarial Nets).

[0724] As an example, the ML model is based on a lightweight neural network.

[0725] As a sub-example of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet, and SqueezeNet.

[0726] Example 14

[0727] Example 14 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application, as shown in Figure 14. In Figure 14, the processing system based on artificial intelligence or machine learning includes a first processor, a second processor, a third processor, and a fourth processor.

[0728] In Example 14, the first processor sends a first dataset to the second processor and a second dataset to the third processor; the second processor generates a target first-class parameter set based on the first dataset, and sends the generated target first-class parameter set to the third processor; the third processor processes the second dataset using the target first-class parameter set to obtain a first-class output, and optionally, the third processor sends the first-class output to the fourth processor. In Figure 14, the first-class feedback and the second-class feedback are optional; the second processor includes ML training functionality; the third processor includes ML inference functionality.

[0729] As one embodiment, the fourth processor includes ML testing functionality.

[0730] As one embodiment, the fourth processor includes performance monitoring / evaluation of the ML model.

[0731] As an example, the third processor sends a first type of feedback to the second processor; the first type of feedback is used to trigger the recalculation or update of the target first type of parameter set, that is, to trigger ML initial training or ML retraining.

[0732] As one embodiment, the fourth processor sends a second type of feedback to the first processor; the second type of feedback is used to generate the first dataset or the second dataset, or the second type of feedback is used to trigger the sending of the first dataset or the sending of the second dataset.

[0733] As one embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0734] As an example, the third processor belongs to the first node.

[0735] As an example, the first dataset includes training data.

[0736] As one embodiment, the second processor is used to train an ML model, and the trained model is described by the target first class of parameter sets.

[0737] As an example, the second processor belongs to the first node; the above method avoids passing the first dataset to the second node.

[0738] As an example, the second processor belongs to the second node in this application; the above method supports joint training and optimizes system performance.

[0739] As an example, the second processor belongs to the core network; the above method supports network-wide joint training, further optimizing system performance.

[0740] As an example, the second dataset includes inference data.

[0741] As an example, the third processor constructs a model based on the target first type of parameter group, and then inputs the second dataset into the constructed model to obtain the first type of output.

[0742] As an example, when the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling, the output of the third processor includes the first wireless channel.

[0743] As an example, the third processor generates a recovery dataset based on the first type of output, and the error between the recovery dataset and the second dataset is used to generate the first type of feedback.

[0744] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the second processing opportunity will recalculate the target first type of parameter set.

[0745] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[0746] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, or parameters of the activation function.

[0747] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[0748] Example 15

[0749] Example 15 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application, as shown in Figure 15. In Figure 15, the first and second operations belong to a first stage, the third operation belongs to a second stage, the fourth operation belongs to a third stage, and the fifth operation belongs to a fourth stage; the arrowed lines indicate the sequence of processes.

[0750] As an example, the first operation includes AI / ML training, the second operation includes AI / ML testing, the third operation includes AI / ML emulation, the fourth operation includes AI / ML entity loading, and the fifth operation includes AI / ML inference.

[0751] As an example, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[0752] As an example, the first stage includes AI / ML model training.

[0753] As an example, the first stage includes AI / ML model training and AI / ML testing.

[0754] As an example, the AI / ML model training includes initial training and re-training of one or a group of AI / ML entities.

[0755] As an example, the training of the AI / ML model depends on training data.

[0756] As an example, the AI / ML model training includes AI / ML entity validation.

[0757] As an example, the AI / ML entity verification is used to evaluate the performance of the AI / ML entity.

[0758] As an example, the AI / ML entity verification relies on verification data.

[0759] As an example, if the AI / ML entity verification results do not meet expectations, the AI / ML model will be retrained.

[0760] As an example, the AI / ML testing includes testing the validated AI / ML entities to estimate the performance of the trained AI / ML model.

[0761] As an example, if the AI / ML test results meet expectations, the AI / ML entity proceeds to the next stage; otherwise, the AI / ML model will be retrained.

[0762] As an example, the AI / ML test relies on test data.

[0763] As one embodiment, the second stage includes AI / ML simulation, which performs AI / ML entity reasoning in a simulation environment.

[0764] As an example, the AI / ML simulation estimates the performance of AI / ML entity reasoning in a simulation environment before using AI / ML entities.

[0765] As one embodiment, the second stage is optional.

[0766] As an example, the third stage includes AI / ML entity loading, which is to obtain trained AI / ML entities to obtain the desired AI / ML inference function.

[0767] As an example, the third stage is optional.

[0768] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[0769] As an example, the fourth stage includes AI / ML inference.

[0770] As an example, the first wireless channel is generated based on the fourth phase when the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0771] Example 16

[0772] Example 16 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application, as shown in Figure 16. In Figure 16, the processing apparatus 1600 in the first node includes a first receiver 1601 and a first transmitter 1602.

[0773] In embodiment 16, the first receiver 1601 receives a first signaling, which indicates scheduling information for a first wireless channel; the first transmitter 1602 transmits the first wireless channel.

[0774] In embodiment 16, the scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0775] As an example, when the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the first node does not meet the processing capacity requirements associated with the first signaling, the first parameter set is the second candidate parameter set.

[0776] As an example, when the number of units corresponding to the remaining processing capacity of the first node is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the first node satisfies the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the first node does not satisfy the requirements of the processing capacity associated with the first signaling.

[0777] As an example, the remaining processing capacity of the first node corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity. When the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the first node meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the first node does not meet the requirements of the processing capacity associated with the first signaling.

[0778] As an example, the first parameter set includes a first parameter, which indicates the MCS used by the first wireless channel.

[0779] As one embodiment, the first parameter set includes a second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

[0780] As an example, the first parameter set includes a third parameter, which indicates the transmit power value used by the first wireless channel.

[0781] As an example, the first transmitter 1602 sends a first information block; the first information block indicates whether the remaining processing capacity of the first node meets the processing capacity requirements associated with the first signaling.

[0782] As an example, both the first candidate parameter set and the second candidate parameter set include the first parameter.

[0783] As an example, the first parameter included in the first candidate parameter set is the MCS indicated by the first signaling.

[0784] As one embodiment, the first parameter included in the second candidate parameter set is an MCS that is different from the MCS indicated by the first signaling.

[0785] As an example, both the first candidate parameter set and the second candidate parameter set include the second parameter.

[0786] As an example, the second parameter included in the first candidate parameter set is at least the former of the code rate or encoding method indicated by the first signaling.

[0787] As an example, both the first candidate parameter set and the second candidate parameter set include the third parameter.

[0788] As an example, the third parameter included in the first candidate parameter set is the transmit power value indicated by the first signaling.

[0789] As an example, the first node 1600 is a user equipment.

[0790] As an example, the first node 1600 is a terminal.

[0791] As an example, the first node 1600 is a relay node device.

[0792] As an example, the first receiver 1601 includes at least one of the following in embodiment 4: the antenna 452, the receiver 454, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467.

[0793] As an example, the first transmitter 1602 includes at least one of the following in embodiment 4: the antenna 452, the transmitter 454, the transmission processor 468, the multi-antenna transmission processor 457, the controller / processor 459, the memory 460, and the data source 467.

[0794] Example 17

[0795] Example 17 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application, as shown in Figure 17. In Figure 17, the processing apparatus 1700 in the second node includes a second transmitter 1701 and a second receiver 1702.

[0796] In embodiment 17, the first transmitter 1701 sends a first signaling message, which indicates scheduling information for a first wireless channel; the second receiver 1702 receives the first wireless channel.

[0797] In embodiment 17, the scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0798] As an example, when the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the sender of the first wireless channel does not meet the processing capacity requirements associated with the first signaling, the first parameter set is the second candidate parameter set.

[0799] As an example, when the number of units corresponding to the remaining processing capacity of the sender of the first wireless channel is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the sender of the first wireless channel satisfies the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the sender of the first wireless channel does not satisfy the requirements of the processing capacity associated with the first signaling.

[0800] As an example, the remaining processing capacity of the sender of the first wireless channel corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity. When the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the sender of the first wireless channel meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the sender of the first wireless channel does not meet the requirements of the processing capacity associated with the first signaling.

[0801] As an example, the first parameter set includes a first parameter, which indicates the MCS used by the first wireless channel.

[0802] As one embodiment, the first parameter set includes a second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

[0803] As an example, the first parameter set includes a third parameter, which indicates the transmit power value used by the first wireless channel.

[0804] As one embodiment, the second receiver 1702 receives a first information block; the first information block indicates whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

[0805] As an example, both the first candidate parameter set and the second candidate parameter set include the first parameter.

[0806] As an example, the first parameter included in the first candidate parameter set is the MCS indicated by the first signaling.

[0807] As one embodiment, the first parameter included in the second candidate parameter set is an MCS that is different from the MCS indicated by the first signaling.

[0808] As an example, both the first candidate parameter set and the second candidate parameter set include the second parameter.

[0809] As an example, the second parameter included in the first candidate parameter set is at least the former of the code rate or encoding method indicated by the first signaling.

[0810] As an example, both the first candidate parameter set and the second candidate parameter set include the third parameter.

[0811] As an example, the third parameter included in the first candidate parameter set is the transmit power value indicated by the first signaling.

[0812] As one example, the second node 1700 is a base station device.

[0813] As one embodiment, the second node 1700 is a user equipment.

[0814] As an example, the second node 1700 is a TRP.

[0815] As an example, the second transmitter 1701 includes at least one of the following in embodiment 4: the antenna 420, the transmitter 418, the transmission processor 417, the multi-antenna transmission processor 471, the controller / processor 475, and the memory 476.

[0816] As one embodiment, the second receiver 1702 includes at least one of the following in embodiment 4: the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the controller / processor 475, and the memory 476.

[0817] 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 user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet cards, IoT terminals, RFID (Radio Frequency Identification) terminals, NB-IoT (Narrow Band Internet of Things) terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNB (evolved Node B), gNB, TRP, GNSS (Global Navigation Satellite System), relay satellites, satellite base stations, airborne base stations, RSUs, unmanned aerial vehicles, and test equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[0818] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A method in a terminal for uplink transmission in wireless communication, characterized in that, include: Receive a first signaling message, which indicates scheduling information for a first wireless channel; Transmit the first wireless channel; The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the terminal meets the processing capacity requirements associated with the first signaling.

2. The method according to claim 1, characterized in that, When the remaining processing capacity of the terminal meets the processing capacity requirements associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the terminal does not meet the processing capacity requirements associated with the first signaling, the first parameter set is the second candidate parameter set.

3. The method according to claim 1 or 2, characterized in that, When the number of units corresponding to the remaining processing capacity of the terminal is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the terminal meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the terminal does not meet the requirements of the processing capacity associated with the first signaling.

4. The method according to claim 1 or 2, characterized in that, The remaining processing capacity of the terminal corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity. When the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the terminal meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the terminal does not meet the requirements of the processing capacity associated with the first signaling.

5. The method according to any one of claims 1 to 4, characterized in that, The first parameter set includes a first parameter, which indicates the MCS used by the first wireless channel.

6. The method according to any one of claims 1 to 5, characterized in that, The first set of parameters includes a second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

7. The method according to any one of claims 1 to 6, characterized in that, The first parameter set includes a third parameter, which indicates the transmit power value used by the first wireless channel.

8. The method according to any one of claims 1 to 7, characterized in that, include: Send the first information block; The first information block indicates whether the remaining processing capacity of the terminal meets the processing capacity requirements associated with the first signaling.

9. A terminal, characterized in that, The terminal includes: one or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the terminal to perform the method as described in any one of claims 1-8.

10. A method in a base station for uplink transmission in wireless communication, characterized in that, include: Send a first signaling message, which indicates the scheduling information of the first wireless channel; Receive the first wireless channel; The scheduling information of the first wireless channel includes a first parameter set, which is one of a first candidate parameter set or a second candidate parameter set; the first candidate parameter set and the second candidate parameter set are different; whether the first parameter set is the first candidate parameter set or the second candidate parameter set depends on whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

11. The method according to claim 10, characterized in that, When the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirement associated with the first signaling, the first parameter set is the first candidate parameter set; when the remaining processing capacity of the sender of the first wireless channel does not meet the processing capacity requirement associated with the first signaling, the first parameter set is the second candidate parameter set.

12. The method according to claim 10 or 11, characterized in that, When the number of units corresponding to the remaining processing capacity of the sender of the first wireless channel is not less than the number of units corresponding to the processing capacity associated with the first signaling, the remaining processing capacity of the sender of the first wireless channel meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the sender of the first wireless channel does not meet the requirements of the processing capacity associated with the first signaling.

13. The method according to claim 10 or 11, characterized in that, The remaining processing capacity of the sender of the first wireless channel corresponds to the remaining storage capacity and the remaining computing capacity, and the processing capacity associated with the first signaling corresponds to the associated storage capacity and the associated computing capacity. When the remaining storage capacity and the remaining computing capacity are not less than the associated storage capacity and the associated computing capacity, respectively, the remaining processing capacity of the sender of the first wireless channel meets the requirements of the processing capacity associated with the first signaling; otherwise, the remaining processing capacity of the sender of the first wireless channel does not meet the requirements of the processing capacity associated with the first signaling.

14. The method according to any one of claims 10 to 13, characterized in that, The first parameter set includes a first parameter, which indicates the MCS used by the first wireless channel.

15. The method according to any one of claims 10 to 14, characterized in that, The first set of parameters includes a second parameter, which indicates at least the former of the code rate or encoding method used by the first wireless channel.

16. The method according to any one of claims 10 to 15, characterized in that, The first parameter set includes a third parameter, which indicates the transmit power value used by the first wireless channel.

17. The method according to any one of claims 10 to 16, characterized in that, include: Receive the first information block; The first information block indicates whether the remaining processing capacity of the sender of the first wireless channel meets the processing capacity requirements associated with the first signaling.

18. A base station, characterized in that, The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the base station to perform the method as described in any one of claims 10-17.

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