Method and device applied to node of wireless communication and artificial intelligence

Abstract

The invention discloses a method and a device in a node used for wireless communication and artificial intelligence. A first node receives a first information block, the first information block indicating a first resource block set; transmitting a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being dynamically scheduled; the first resource block set is determined based on an AI / ML model; the first resource block set comprises K1 resource blocks, K1 is a positive integer greater than 1, and time domain resources occupied by at least two resource blocks in the K1 resource blocks are orthogonal; the first set of resource blocks depends on an ID of the AI / ML model. The dynamic scheduling transmission triggered by the UE is realized, the adaptability and the intelligent level of the communication system are improved, a more flexible scheduling mechanism is supported, and the performance, the efficiency and the user experience of the communication system are further improved.

Description

Technical Field

[0001] This application relates to signal transmission methods and apparatus in wireless communication systems, and more particularly to methods and apparatus for scheduling transmission. Background Technology

[0002] 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 use cases, lifecycle management (LCM), simulation verification, and data collection.

[0003] 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

[0004] In NR (New Radio), the scheduling mechanism is a crucial component of resource allocation. Within each scheduling cycle, the base station scheduler determines which User Equipment (UE) uses which resources to transmit and receive data. UEs will only transmit and receive data after receiving a valid scheduling authorization from the base station. Scheduling mechanisms are generally divided into two categories: dynamic scheduling and non-dynamic scheduling. Dynamic scheduling involves the base station dynamically allocating resources based on current network load, channel conditions, and user demands using Downlink Control Information (DCI) to adapt to rapid changes in traffic volume and wireless channel quality. The inventors have discovered that in future wireless communication systems, especially with the introduction of AI / ML, the existing air interface resource allocation model will become more flexible, and the corresponding scheduling mechanism will also become more flexible. Therefore, there is room for further optimization of the existing scheduling mechanism.

[0005] To address the aforementioned issues, this application discloses a solution. It should be noted that while the NR system is used as an example in the above description, this application is also applicable to scenarios such as future 6G systems, achieving similar technical effects. Furthermore, although 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. Unless otherwise specified, embodiments and features in any node of this application can be applied to any other node. Unless otherwise specified, embodiments and features in any node of this application can be arbitrarily combined.

[0006] 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.

[0007] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS38 series.

[0008] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS37 series.

[0009] As an example, the interpretation of the terms used in this application is based on the definitions in 3GPP specification protocol Rel-17.

[0010] As an example, the interpretation of the terms used in this application is based on the definitions in 3GPP specification protocol Rel-18.

[0011] This application discloses a method for a first node in wireless communication and artificial intelligence, comprising:

[0012] Receive a first information block, the first information block indicating a first resource block set;

[0013] Send a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling;

[0014] The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0015] As an example, the problem to be solved by this application includes: the implementation of a UE-triggered dynamic scheduling transmission mechanism.

[0016] As an example, the problem to be solved by this application includes: the configuration and indication of dynamically scheduled resources triggered by the UE.

[0017] As an example, the features of the above method include: in this application, the base station configures a first resource block set for dynamic scheduling triggered by the UE through a first information block, and the first node triggers uplink or downlink transmission for dynamic scheduling by sending a second information block, wherein the resources occupied by the uplink transmission and downlink transmission belong to the first resource block set.

[0018] As an example, the features of the above method include: the first set of resource blocks is determined by AI entities based on AI / ML model prediction or inference, and the AI ​​entities are located on the network side, interacting with network devices, or located inside network devices.

[0019] As an example, the features of the above method include: this application supports the configuration of a first resource block set common to UE groups.

[0020] As an example, the features of the above method include: the ID of the AI / ML model includes the AI / ML modelID.

[0021] As an example, the features of the above method include: the ID of the AI / ML model includes the functionality ID corresponding to the AI / ML model.

[0022] 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.

[0023] As an example, the advantages of the above method include: the UE performs dynamic scheduling in the pre-configured resources, which reduces the complexity of implementing dynamic scheduling triggered by the UE, reduces interference in signal transmission, and ensures the robustness of signal transmission.

[0024] As an example, the advantages of the above method include: ensuring the stability of resource allocation and enabling the network to flexibly respond to changes in load and traffic.

[0025] According to one aspect of this application, the above method is characterized in that the K1 resource blocks included in the first resource block set are idle.

[0026] As an example, the characteristics of the above method include: the first node does not initiate random access in the K1 resource blocks.

[0027] As an example, the characteristics of the above method include: the first node does not monitor PDCCH in the K1 resource blocks.

[0028] As an example, the features of the above method include: the K1 resource blocks are reserved for the first node to perform signal transmission for dynamic scheduling triggered by the UE.

[0029] As an example, the advantages of the above method include: reducing the probability of signal transmission conflicts between the base station and the terminal, and reducing interference caused by signal transmission conflicts.

[0030] As an example, the advantages of the above method include: pre-configuring a set of resources for dynamic scheduling triggered by the UE can reduce system complexity and facilitate network management and coordination of terminal signal transmission within the cell.

[0031] According to one aspect of this application, the above method is characterized by comprising:

[0032] Receive the first sequence;

[0033] Receive the first signal in the first resource set, or send the first signal in the first resource set;

[0034] The first sequence confirms the second information block, and the second information block schedules the first signal.

[0035] As an example, the features of the above method include: the first sequence is the feedback from the second node to the second information block in this application.

[0036] As an example, the features of the above method include: whether the first node cancels the transmission of the first signal depends on whether the first node receives the first sequence.

[0037] As an example, the features of the above method include: the first sequence carries at least one bit of information, the at least one bit of information being used to confirm the transmission of the first signal, or the at least one bit of information being used to cancel the transmission of the first signal.

[0038] As an example, the features of the above method include: the second information block instructing the first node to receive the first signal in the first resource set, or the first node sending the first signal in the first resource set.

[0039] As an example, the advantages of the above method include: introducing a scheduling confirmation mechanism to ensure reliable signal transmission while enabling the reuse of the first resource block set.

[0040] As an example, the advantages of the above method include: the first node will only transmit data after receiving feedback confirming the second information block, which helps to reduce interference between different UEs.

[0041] According to one aspect of this application, the above method is characterized by comprising:

[0042] Receive the first signaling and receive the first signal in the first resource subset;

[0043] Wherein, the first signaling depends on the second information block; the first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

[0044] As an example, the features of the above method include: the first signaling is physical layer control signaling.

[0045] As an example, the features of the above method include: the first signaling carries part of the scheduling information of the first signal.

[0046] As an example, the features of the above method include: the second information block and the first signaling are used together to indicate the first resource subset from the first resource block set.

[0047] As an example, the advantages of the above method include: minimal changes to the standard and good compatibility.

[0048] As an example, the advantages of the above method include: low requirements for terminals, thereby reducing terminal costs, and facilitating the deployment and implementation of communication networks.

[0049] As an example, the advantages of the above method include: supporting more flexible scheduling methods, and the joint indication of transmission signal resources by the terminal and the base station helps to reduce latency and improve system performance.

[0050] According to one aspect of this application, the above method is characterized by comprising:

[0051] Send the first signal in the second resource subset;

[0052] The first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

[0053] As an example, the features of the above method include: the second information block notifies the second node in this application to receive the first signal.

[0054] As an example, the features of the above method include: the first resource block set is cell-common or UE-group-common.

[0055] As an example, the characteristics of the above method include that the plurality of resource subsets are nested.

[0056] As an example, the advantages of the above method include: dynamically sharing resources to improve resource utilization.

[0057] As an example, the advantages of the above method include: avoiding the use of additional signaling indications to improve spectrum efficiency and save signaling overhead.

[0058] According to one aspect of this application, the above method is characterized in that the K1 resource blocks are orthogonal in the time domain, and the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

[0059] As an example, the features of the above method include: the K1 resource subsets belong to the K1 resource blocks respectively, and the K1 resource subsets are orthogonal in the time domain.

[0060] As an example, the features of the above method include: the second information block implicitly indicates the temporal resources of the first resource block set.

[0061] As an example, the features of the above method include: the first node repeatedly transmits uplink signals in the K1 resource subsets.

[0062] As an example, the features of the above method include: the transmission signals in the plurality of resource subsets are generated based on the same transport block.

[0063] As an example, the advantages of the above method include: uplink retransmission can achieve greater uplink coverage and better transmission performance.

[0064] As an example, the advantages of the above method include: improving transmission reliability by allocating more transmission resources to data packets and reducing the bit rate.

[0065] As an example, the advantages of the above method include: achieving higher coding gain and improving coverage performance.

[0066] According to one aspect of this application, the above method is characterized in that the ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

[0067] As an example, the features of the above method include: the ID of the AI / ML model is used to identify an AI / ML model. However, the AI / ML model identified by the ID of the AI / ML model can be logical. The mapping relationship from the logical AI / ML model to the physical AI / ML model is usually implemented by the device manufacturer. Therefore, the ID of the AI / ML model may not be globally unique. The same physical AI / ML model may correspond to different IDs of the AI / ML model. Thus, updating the ID of the AI / ML model in this application includes changes in the logical AI / ML model on which the first resource block set depends and / or changes in the physical AI / ML model mapped by the ID of the AI / ML model on which the first resource block set depends.

[0068] As an example, the features of the above method include: in LCM, the AI / ML model can improve inference performance by retraining or adjusting; the ID of the AI / ML model corresponding to different nodes in LCM can be different; therefore, after the ID of the AI / ML model is updated, the inference result of the AI / ML model may change, thereby resetting the first resource block set is beneficial to improving system performance.

[0069] As an example, the features of the above method include: the network or terminal can monitor the performance of an AI / ML model inference; when the performance of an AI / ML model degrades to an unacceptable level, the network or base station can indicate or configure the switching or reselection of the AI / ML model in the current function or function group through signaling; the ID of the corresponding AI / ML model will also be updated; thereby resetting the first resource block set can avoid the system performance degradation caused by the degraded AI / ML model inference.

[0070] As an example, the benefits of the above method include: promoting the deep integration of AI and communication, and realizing network intelligence and automation.

[0071] As an example, the benefits of the above method include: improving the inference performance of AI / ML models, thereby improving system performance and facilitating network maintenance.

[0072] As an example, the advantages of the above method include: it helps to adapt to rapidly changing channel environments and ensures signal transmission quality.

[0073] According to one aspect of this application, the above method is characterized in that the first information block includes a set of configuration parameters for the first resource block set, the set of configuration parameters including at least one of power parameters or space parameters.

[0074] As an example, the features of the above method include: the set of configuration parameters of the first resource block set included in the first information block is for signals transmitted in the first resource block set.

[0075] As an example, the features of the above method include: the power parameter includes the transmission power or maximum transmission power used by the signal transmitted in the first resource block set.

[0076] As an example, the features of the above method include: the spatial parameters include the spatial relationships adopted by the signals transmitted in the first resource block set.

[0077] As an example, the advantages of the above method include: configuring slowly changing parameters in signal transmission through higher-level signaling can reduce the overhead of dynamic signaling and save spectrum efficiency.

[0078] As an example, the advantages of the above method include: reduced system complexity and ease of deployment and implementation.

[0079] As an example, the advantages of the above method include: simple requirements for the UE and reduced costs.

[0080] According to one aspect of this application, the above method is characterized in that the set of configuration parameters includes predicted idle probabilities for resource blocks in the first set of resource blocks.

[0081] As an example, the features of the above method include: the predicted idle probability for resource blocks in the first resource block set includes the probability that the first node generates data in the first resource block set.

[0082] As an example, the features of the above method include: the base station, based on massive amounts of data, uses AI / ML models to predict user data transmission, cell load, and network status, and predicts in advance the probability that the first node will transmit signals in the first resource block set.

[0083] As an example, the features of the above method include: the first node performs signal scheduling and transmission according to channel priority based on the predicted idle probability.

[0084] As an example, the advantages of the above method include: realizing autonomous networks and intelligent services, supporting network operation optimization, and improving network efficiency.

[0085] As an example, the advantages of the above method include: predicting the signal transmission time of the first node in advance and optimizing resource allocation based on the prediction, thereby further reducing the signal transmission latency.

[0086] As an example, the advantages of the above method include: reducing the probability of signal collisions and ensuring reliable signal transmission.

[0087] According to one aspect of this application, the above method is characterized in that the first node is a user equipment.

[0088] According to one aspect of this application, the above method is characterized in that the first node is a terminal.

[0089] This application discloses a method for a second node in wireless communication and artificial intelligence, comprising:

[0090] Send a first information block, which indicates a first set of resource blocks;

[0091] Receive a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling;

[0092] The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the K1 resource blocks included in the first resource block set are idle; the first resource block set depends on the ID of the AI / ML model.

[0093] According to one aspect of this application, the above method is characterized in that the K1 resource blocks included in the first resource block set are idle.

[0094] As an example, the features of the above method include: the second node does not dynamically schedule the first node among the K1 resource blocks.

[0095] As an example, the features of the above method include: the second node does not dynamically schedule nodes other than the first node in the cell within the K1 resource blocks.

[0096] According to one aspect of this application, the above method is characterized by comprising:

[0097] Send the first sequence;

[0098] Send a first signal in the first resource set, or receive a first signal in the first resource set;

[0099] The first sequence confirms the second information block, and the second information block schedules the first signal.

[0100] According to one aspect of this application, the above method is characterized by comprising:

[0101] Send the first signaling and send the first signal in the first resource subset;

[0102] Wherein, the first signaling depends on the second information block; the first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

[0103] According to one aspect of this application, the above method is characterized by comprising:

[0104] The first signal is received in the second resource subset;

[0105] The first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

[0106] As an example, the features of the above method include: the second node blindly detects the first signal in the first resource set.

[0107] As an example, the features of the above method include: the second node determines the second resource subset based on the second information block and a predefined configuration, and receives the first signal in the second resource subset.

[0108] As an example, the features of the above method include: the second node determining the sender of the first signal based on the second subset of resources.

[0109] As an example, the advantages of the above method include: improved resource utilization.

[0110] According to one aspect of this application, the above method is characterized in that the K1 resource blocks are orthogonal in the time domain, and the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

[0111] As an example, the features of the above method include: the second node repeatedly transmits downlink signals in the K1 resource subsets.

[0112] As an example, the advantages of the above method include: repeated transmission can achieve greater uplink coverage and better transmission performance.

[0113] As an example, the advantages of the above method include: improving resource utilization and further enhancing system performance.

[0114] As an example, the advantages of the above method include: improving transmission reliability by allocating more transmission resources to data packets and reducing the bit rate.

[0115] According to one aspect of this application, the above method is characterized in that the ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

[0116] According to one aspect of this application, the above method is characterized in that the first information block includes a set of configuration parameters for the first resource block set, the set of configuration parameters including at least one of power parameters or space parameters.

[0117] According to one aspect of this application, the above method is characterized in that the set of configuration parameters includes predicted idle probabilities for resource blocks in the first set of resource blocks.

[0118] As an example, the features of the above method include: the second node obtains the idle probability of resource blocks in the first resource block set based on prediction, and configures the idle probability to the first node through the first information block.

[0119] As an example, the features of the above method include: the second node obtains the probability that the first node will transmit data in the first resource block set based on prediction, and configures the probability to the first node through the first information block.

[0120] According to one aspect of this application, the method described above is characterized in that the second node is a base station.

[0121] This application discloses a device for a first node in wireless communication and artificial intelligence, comprising:

[0122] A first receiver receives a first information block, the first information block indicating a first resource block set;

[0123] A first transmitter sends a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling;

[0124] The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0125] This application discloses a device for a second node in wireless communication and artificial intelligence, comprising:

[0126] The second transmitter sends a first information block, which indicates a first resource block set.

[0127] The second receiver receives a second information block, which indicates a first resource set from the first resource block set, and the first resource set is for dynamic scheduling.

[0128] The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0129] As an example, compared with conventional solutions, this application has the following advantages, but is not limited to:

[0130] To improve the adaptability and intelligence of communication systems, thereby enhancing their performance, efficiency, and user experience;

[0131] Reduce the complexity of implementing dynamic scheduling triggered by the UE, reduce interference in signal transmission, and ensure the robustness of signal transmission;

[0132] This application supports a dynamic scheduling model triggered by multiple terminals, which can be flexibly applied to different terminals and reduces the requirements for terminal capabilities. Attached Figure Description

[0133] 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:

[0134] Figure 1 A flowchart of the first node transmission according to an embodiment of this application is shown;

[0135] Figure 2 A schematic diagram of a network architecture according to an embodiment of this application is shown;

[0136] Figure 3 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 is shown;

[0137] Figure 4 A schematic diagram of a first communication device and a second communication device according to an embodiment of this application is shown;

[0138] Figure 5 A first flowchart illustrating the transmission between a first node and a second node according to an embodiment of this application is shown;

[0139] Figure 6 A second flowchart illustrating the transmission between a first node and a second node according to an embodiment of this application is shown;

[0140] Figure 7 A third flowchart illustrating the transmission between a first node and a second node according to an embodiment of this application is shown;

[0141] Figure 8 A fourth flowchart illustrating the transmission between a first node and a second node according to an embodiment of this application is shown;

[0142] Figure 9 A schematic diagram is shown showing a first resource block set comprising K1 resource blocks according to an embodiment of this application;

[0143] Figure 10 A schematic diagram illustrating a first resource set comprising multiple resource subsets according to an embodiment of this application is shown;

[0144] Figure 11 A schematic diagram of a set of configuration parameters for a first set of resource blocks according to an embodiment of this application is shown;

[0145] Figure 12 A schematic diagram illustrating the deployment of RAN domain AI / ML functionality according to an embodiment of this application is shown;

[0146] Figure 13 A schematic diagram illustrating the deployment of AI / ML functions in a UE according to an embodiment of this application is shown;

[0147] Figure 14 A schematic diagram of an artificial intelligence or machine learning-based processing system according to an embodiment of this application is shown;

[0148] Figure 15 A schematic diagram illustrating artificial intelligence or machine learning according to an embodiment of this application is shown;

[0149] Figure 16 A structural block diagram of a processing apparatus for a first node according to an embodiment of this application is shown;

[0150] Figure 17 A structural block diagram of a processing apparatus for a second node according to an embodiment of this application is shown. Detailed Implementation

[0151] 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 accompanying drawings. Figure 1 Examples and appendices Figure 5 - Appendix Figure 17 The embodiments in the appendix Figure 5 Examples and appendices Figure 6 - Appendix Figure 17 Examples, etc.

[0152] Example 1

[0153] Example 1 illustrates a flowchart of a first node transmission according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown. In the appendix Figure 1 In this diagram, each box represents a step. Specifically, the order of the steps within the boxes does not indicate a specific temporal sequence between them.

[0154] In step 101, the first node receives a first information block, which indicates a first resource block set; in step 102, it sends a second information block, which indicates a first resource set from the first resource block set, and the first resource set is for dynamic scheduling.

[0155] In Example 1, the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0156] As an example, AI / ML refers to Artificial Intelligence / Machine Learning.

[0157] As an example, the AI / ML includes: Machine Learning.

[0158] As an example, the AI / ML includes: Deep Learning.

[0159] As an example, the ID refers to: IDentify, proof.

[0160] As an example, the ID refers to: IDentification, identity verification.

[0161] As an example, the ID refers to: IDentity, identity, or identifier.

[0162] As an example, the ID refers to: Identifier, identifier.

[0163] As an example, the ID refers to: InDex, index.

[0164] As an example, the ID includes: Model ID.

[0165] As an example, the ID includes: Functionality ID.

[0166] As an example, the first node is the first node in this application.

[0167] As one embodiment, the first node receives the first information block.

[0168] As one embodiment, the first information block is transmitted via higher layer signaling.

[0169] As an example, the first information block is transmitted via RRC (Radio Resource Control) signaling.

[0170] As one embodiment, the first information block is carried by RRC signaling.

[0171] As one embodiment, the first information block includes one or more RRC IEs (Information Elements).

[0172] As an example, the first information block includes one or more fields in an RRC IE.

[0173] As one embodiment, the first information block includes one or more fields of each of the plurality of RRC IEs.

[0174] As one example, the first information block includes one or more domains in the ServingCellConfig IE.

[0175] As one example, the first information block includes one or more fields in BWP-UplinkDedicatedIE.

[0176] As an example, the first information block includes one or more domains in the PUSCH-Config IE.

[0177] As one example, the first information block includes one or more domains in the PUCCH-Config IE.

[0178] As one example, the first information block includes one or more domains in the PreGrantConfig IE.

[0179] As one example, the first information block includes one or more domains in the PreGrantConfig IE.

[0180] As one example, the first information block includes one or more fields in the BWP-DownlinkDedicated IE.

[0181] As one example, the first information block includes one or more domains in the PDSCH-Config IE.

[0182] As one example, the first information block includes one or more domains in UESchedulingPDSCH-ConfigIE.

[0183] As an example, the first information block is transmitted via MAC (Medium Access Control) layer signaling.

[0184] As an example, the first information block is transmitted via MAC CE (Control Element).

[0185] As an example, the name of the signaling carrying the first information block includes AI.

[0186] As one example, the name of the signaling carrying the first information block includes ML.

[0187] As an example, the name of the signaling carrying the first information block includes AIorML.

[0188] As an example, the name of the signaling carrying the first information block includes Prediction.

[0189] As an example, the name of the signaling carrying the first information block includes Predicted.

[0190] As an example, the name of the signaling carrying the first information block includes Inference.

[0191] As one example, the name of the signaling carrying the first information block includes Resource.

[0192] As one example, the name of the signaling carrying the first information block includes Pool.

[0193] As an example, the name of the signaling carrying the first information block includes Pre.

[0194] As one example, the name of the signaling carrying the first information block includes Grant.

[0195] As one example, the name of the signaling carrying the first information block includes UEScheduling.

[0196] As an example, the first information block is UE-dedicated.

[0197] As one embodiment, the first information block is UE-group dedicated, and the UE group includes the first node.

[0198] As an example, the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1.

[0199] As an example, the first resource block set is UE-specific.

[0200] As an example, the first resource block set is UE-specific.

[0201] As an example, the resources occupied in the first resource block set are used only for uplink transmission.

[0202] As an example, the resources occupied in the first resource block set are used only for downlink transmission.

[0203] As one embodiment, the first resource block set includes both uplink transmission resources and downlink transmission resources.

[0204] As one embodiment, the first resource block set includes resources that can be used for both uplink and downlink transmissions simultaneously.

[0205] As an example, the first resource block set occupies consecutive frequency domain resources.

[0206] As an example, the first resource block set occupies discontinuous frequency domain resources.

[0207] As an example, the first resource block set occupies consecutive temporal resources.

[0208] As an example, the first set of resource blocks is configured periodically.

[0209] As an example, the time-domain resources occupied by the first set of resource blocks are periodic.

[0210] As an example, any one of the K1 resource blocks occupies consecutive temporal resources.

[0211] As an example, any one of the K1 resource blocks occupies consecutive frequency domain resources.

[0212] As an example, any one of the K1 resource blocks is a time-frequency resource block.

[0213] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more subframes in the time domain.

[0214] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more time slots in the time domain.

[0215] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more time-domain symbols in the time domain.

[0216] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more subbands in the frequency domain.

[0217] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more RBs (Resource Blocks) in the frequency domain.

[0218] As a sub-implementation of this embodiment, the time-frequency resource block occupies multiple consecutive subcarriers in the frequency domain.

[0219] As a sub-implementation of this embodiment, the time-frequency resource block occupies one or more REs (Resource Elements).

[0220] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a spatial transmission parameter (spatialTxparameters).

[0221] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a spatial reception parameter (spatialRxparameters).

[0222] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a TCI (Transmission Configuration Indicator) state.

[0223] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a CSI-RS (Channel State Information Reference Signal) resource.

[0224] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to one SSB.

[0225] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to multiple spatial transmission parameters.

[0226] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to multiple spatial reception parameters.

[0227] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to multiple TCI states.

[0228] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to multiple CSI-RS resources.

[0229] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to multiple SSBs.

[0230] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a maximum transmission power value.

[0231] As a sub-implementation of this embodiment, the time-frequency resource block corresponds to a transmission type, which is at least one of Down Link (DL), Up Link (UL), Flexible, SBFD (Sub-Band non-overlapping Full Duplex), or Full Duplex.

[0232] As an example, the K1 resource blocks included in the first resource block set occupy K1 time slots in the time domain and K1 sub-bands in the frequency domain.

[0233] As an example, the K1 resource blocks included in the first resource block set occupy K1 multicarrier symbol sets in the time domain and K1 RB sets in the frequency domain.

[0234] As an example, any one of the K1 resource blocks occupies one time slot in the time domain and one sub-band in the frequency domain.

[0235] As an example, any one of the K1 resource blocks occupies one time-domain symbol in the time domain and one RB set in the frequency domain.

[0236] As an example, a time slot as described in this application includes 14 time domain symbols.

[0237] As an example, an RB described in this application includes 12 consecutive subcarriers.

[0238] As an example, an RB mentioned in this application refers to a PRB (Physical Resource Block).

[0239] As an example, an RE described in this application includes a time-domain symbol in the time domain and a subcarrier in the frequency domain.

[0240] As an example, the number of RBs included in an RB set described in this application is configured by higher-level parameters.

[0241] As an example, an RB set described in this application includes a set of consecutive RBs.

[0242] As an example, a guardband exists between two adjacent RB sets.

[0243] As an example, at least two of the K1 resource blocks occupy orthogonal temporal resources.

[0244] As an example, at least two of the K1 resource blocks do not overlap in the time domain.

[0245] As an example, among the K1 resource blocks, two resource blocks occupy overlapping temporal domain resources.

[0246] As an example, among the K1 resource blocks, two resource blocks occupy the same time-domain resources.

[0247] As an example, the time-domain resources occupied by any two of the K1 resource blocks are orthogonal.

[0248] As an example, the temporal resources occupied by any two resource blocks among the K1 resource blocks do not overlap.

[0249] As an example, the time-domain resources occupied by the K1 resource blocks are orthogonal.

[0250] As an example, the time-domain resources occupied by the K1 resource blocks do not overlap.

[0251] As an example, the fact that the K1 resource blocks are idle means that the second node in this application does not transmit configured grants (CGs) in the K1 resource blocks.

[0252] As an example, the fact that the K1 resource blocks are idle means that the second node in this application does not perform semi-static scheduling (SPS) in the K1 resource blocks.

[0253] As an example, the fact that the K1 resource blocks are idle means that the second node in this application does not perform dynamic scheduling on the K1 resource blocks.

[0254] As an example, the fact that the K1 resource blocks are idle means that the first node does not initiate random access in the K1 resource blocks.

[0255] As an example, the fact that the K1 resource blocks are idle means that the first node does not monitor the PDCCH (Physical Downlink Control Channel) in the K1 resource blocks.

[0256] As an example, the fact that the K1 resource blocks are idle means that the K1 resource blocks are reserved for terminal-triggered scheduling.

[0257] As an example, the meaning of K1 resource blocks being idle includes: the K1 resource blocks being available, permitted, or capable of being used for scheduling triggered by the UE.

[0258] As an example, the fact that the K1 resource blocks are idle means that the K1 resource blocks are reserved for scheduling triggered by the first node.

[0259] As an example, the fact that the K1 resource blocks are idle means that the K1 resource blocks can, are allowed, or are capable of being used for scheduling triggered by the first node.

[0260] As an example, the fact that the K1 resource blocks are idle means that the K1 resource blocks are reserved for scheduling triggered by a UE group, the UE group including the first node.

[0261] As an example, the fact that the K1 resource blocks are idle means that the K1 resource blocks can, are allowed, or are capable of being used for scheduling triggered by a UE group, the UE group including the first node.

[0262] As one embodiment, the first information block indicates the first resource block set.

[0263] As an example, the first information block explicitly indicates the first resource block set.

[0264] As an example, the first information block explicitly indicates the temporal resources occupied by the first resource block set.

[0265] As an example, the first resource block set occupies the time domain resources of the period, and the first information block explicitly indicates the period and period offset value of the time domain resources occupied by the first resource block set.

[0266] As an example, the first information block explicitly indicates the duration of the time-domain resources occupied by the first resource block set.

[0267] As an example, the first information block explicitly indicates the duration of time-domain resources occupied by the first resource block set in each period.

[0268] As an example, the first information block explicitly indicates the pattern of the first resource block set in the time domain.

[0269] As an example, the first information block explicitly indicates the pattern of the first resource block set in the frequency domain.

[0270] As an example, the first information block explicitly indicates the frequency domain resources occupied by the first resource block set.

[0271] As a sub-implementation of this embodiment, the explicit indication includes explicitly indicating the starting frequency domain resources occupied by the first resource block set.

[0272] As a supplementary embodiment of this sub-example, the occupied initial frequency domain resources refer to the occupied initial RE.

[0273] As a supplementary embodiment of this sub-example, the occupied starting frequency domain resource refers to the occupied starting PRB.

[0274] As a supplementary embodiment of this sub-example, the occupied starting frequency domain resources refer to the occupied starting RB set.

[0275] As a supplementary embodiment of this sub-example, the occupied starting frequency domain resources refer to the occupied starting subband.

[0276] As a sub-implementation of this embodiment, the explicit indication includes an explicit indication of the frequency domain bandwidth occupied by the first resource block set.

[0277] As a sub-implementation of this embodiment, the frequency domain bandwidth occupied refers to the number of REs.

[0278] As a sub-implementation of this embodiment, "occupied" refers to the number of PRBs occupied.

[0279] As a sub-implementation of this embodiment, "occupied" refers to the number of RB sets occupied.

[0280] As a sub-implementation of this embodiment, the term "occupied" refers to the number of subbands occupied.

[0281] As one embodiment, the first information block includes a bitmap that indicates the location of the time-domain resources occupied by the first resource block set.

[0282] As one embodiment, the first resource block set includes K1 resource blocks, and the bit map included in the first information block indicates the K1 resource blocks at K1 positions in the time domain.

[0283] As a sub-implementation of this embodiment, the first information block includes K1 first-type information sub-blocks, and the K1 first-type information sub-blocks respectively indicate the K1 frequency domain resources occupied by the K1 resource blocks.

[0284] As a sub-implementation of this embodiment, the first information block includes K1 second-type information sub-blocks, and the K1 second-type information sub-blocks respectively indicate K1 spatial parameters corresponding to the K1 resource blocks.

[0285] As a sub-implementation of this embodiment, the first information block includes K1 third-type information sub-blocks, each of the K1 third-type information sub-blocks indicating K1 predicted idle probability values ​​for the K1 resource blocks.

[0286] As an example, the first information block indirectly indicates the first resource block set.

[0287] As a sub-example of this embodiment, the indirect indication includes indicating other IE indications.

[0288] As a sub-implementation of this embodiment, the indirect indication includes indication via a predefined table.

[0289] As an example, the first information block explicitly indicates the time-frequency resources occupied by the first resource block set.

[0290] As one embodiment, the first information block configures the first resource block set.

[0291] As one embodiment, the first node sends the second information block, which indicates the first resource set from the first resource block set.

[0292] As an example, the second information block occupies the PUCCH (Physical Uplink Control Channel).

[0293] As an example, the second information block occupies PUCCH resources.

[0294] As one embodiment, the second information block includes UCI (Uplink Control Information).

[0295] As an example, the second information block is UCI.

[0296] As one embodiment, the second information block includes an SR (Scheduling Request).

[0297] As one embodiment, the second information block includes a USI (Uplink Scheduling Indicator).

[0298] As an example, the second information block includes a UCI, which is different in type from the UCI in Rel-18 (Release-18) and earlier versions.

[0299] As a sub-example of this embodiment, the UCI types in Rel-18 and earlier versions include at least SR, HARQ (Hybrid Automatic Repeat reQuest)-ACK (ACKnowledgment), and CSI (Channel State Information).

[0300] As one embodiment, the second information block occupies resources in the first resource block set.

[0301] As one embodiment, the time-frequency resources occupied by the second information block are orthogonal to the time-frequency resources occupied by the first resource block set.

[0302] As an example, the second information block occupies one of the M1 candidate uplink resource sets, where M1 is a positive integer greater than 1.

[0303] As a sub-implementation of this embodiment, the M1 candidate uplink resource sets are semi-statically configured.

[0304] As a sub-implementation of this embodiment, the M1 candidate uplink resource sets are pre-configured.

[0305] As a sub-implementation of this embodiment, the M1 candidate uplink resource sets are configured and granted resources.

[0306] As a sub-implementation of this embodiment, the M1 candidate uplink resource sets are configured through ConfiguredGrantConfig IE.

[0307] As a sub-implementation of this embodiment, the second node in this application blindly detects the second information block.

[0308] As a sub-implementation of this embodiment, the second node in this application blindly detects the second information block by scrambling the second information block's CRC (Cyclic Redundancy Check).

[0309] As a sub-implementation of this embodiment, the second node in this application blindly detects the second information block by using the RNTI (Radio Network Temporary Identifier) ​​carried by the CRC of the scrambled second information block.

[0310] As one embodiment, the second information block indicates the first resource set from the first resource block set.

[0311] As one embodiment, the second information block indicates the first resource set from a given resource block among the K1 resource blocks included in the first resource block set, the first resource set occupying some or all of the resources in the given resource block.

[0312] As one embodiment, the second information block indicates the first resource set from multiple resource blocks among the K1 resource blocks included in the first resource block set, and the first resource set occupies some or all of the resources in the multiple resource blocks.

[0313] As one embodiment, the second information block indicates the first resource set from each of the K1 resource blocks included in the first resource block set, and the first resource set occupies some or all of the resources in each resource block.

[0314] As an example, the first resource set is for dynamic scheduling.

[0315] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the first resource block set is for dynamic scheduling, and the first resource set belongs to the first resource block set.

[0316] As an example, the first resource set for dynamic scheduling means that the second information block is for dynamic scheduling.

[0317] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the dynamic scheduling of the second information block.

[0318] As an example, the meaning of the first resource set for dynamic scheduling includes: the second information block is for authorization of uplink data transmission, or the second information block is for authorization of downlink data transmission.

[0319] As an example, the meaning of "for dynamic scheduling" for the first resource set includes: the indication of the first resource set is dynamic.

[0320] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the first resource set is used for a single transmission.

[0321] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the wireless signals transmitted in the first resource set are targeted at a HARQ process.

[0322] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the resources in the first resource set are used for signal transmission in dynamic scheduling.

[0323] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the first resource set for transmissions dynamically scheduled by the UE.

[0324] As an example, the first resource set for dynamic scheduling means that dynamic scheduling triggered by the UE occupies resources in the first resource set.

[0325] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the sending or transmission of signals in the first resource set requires dynamic scheduling.

[0326] As an example, the meaning of "the first resource set for dynamic scheduling" includes: the transmission or reception signals in the first resource set do not belong to the transmission or reception without dynamic scheduling.

[0327] As an example, the first set of resource blocks is determined based on an AI / ML model.

[0328] As an example, the first resource block set being determined based on an AI / ML model means that the first resource block set is based on prediction.

[0329] As an example, the first resource block set being determined based on an AI / ML model means that the first resource block set is obtained through AI / ML model inference.

[0330] As an example, the first resource block set being determined based on an AI / ML model means that the first resource block set is obtained through prediction by an AI / ML model.

[0331] As an example, the K1 resource blocks included in the first resource block set are considered to be idle based on prediction.

[0332] As an example, in this application, the second node determines, based on prediction, that the K1 resource blocks are idle.

[0333] As an example, the first node determines that the K1 resource blocks are idle based on prediction.

[0334] As an example, the fact that the K1 resource blocks are idle is determined based on an AI / ML model.

[0335] As an example, in this application, the second node determines that the K1 resource blocks are idle based on an AI / ML model.

[0336] As an example, the first node determines that the K1 resource blocks are idle based on an AI / ML model.

[0337] As an example, the K1 resource blocks being idle is based on inference.

[0338] As an example, in this application, the second node determines that the K1 resource blocks are idle based on reasoning.

[0339] As an example, the first node determines, based on reasoning, that the K1 resource blocks are idle.

[0340] As an example, the first set of resource blocks is determined by an AI entity based on AI / ML model prediction or inference. The AI ​​entity is located on the network side, interacting with network devices, or located inside network devices.

[0341] As an example, the first resource block set depends on the ID of the AI / ML model.

[0342] As an example, the ID of the AI / ML model includes: AI / ML model ID.

[0343] As an example, the ID of the AI / ML model includes: the functionalityID corresponding to the AI / ML model.

[0344] As an example, the AI / ML model identified by the AI / ML model ID described in this application may be logical. The mapping relationship from the logical AI / ML model to the physical AI / ML model is usually implemented by the device manufacturer. Furthermore, the model ID corresponding to the same AI / ML model may be different at different stages of LCM, that is, the model ID described in this application may not be globally unique.

[0345] As an example, the functionality described in this application refers to a feature or feature group (FG) that supports AI / ML and is enabled by configuration, wherein the configuration is supported according to conditions indicated by the UE capability.

[0346] As an example, the meaning of the first resource block set depending on the ID of the AI / ML model includes: the first information block indicates the first resource block set while also indicating the ID of the AI / ML model.

[0347] As an example, the meaning of the first resource block set depending on the ID of the AI / ML model includes: the first resource block set is generated per AI / ML model.

[0348] As an example, the meaning of the first resource block set depending on the ID of the AI / ML model includes: the first resource block set is associated with an AI / ML model.

[0349] As an example, the ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

[0350] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: updating the AI / ML model on which the first resource block set depends.

[0351] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes: the AI / ML model on which the first resource block set depends is re-indicated.

[0352] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes: the AI / ML model on which the first resource block set depends is reconfigured.

[0353] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: the AI / ML model on which the first resource block set depends is deactivated.

[0354] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: the AI / ML model on which the first resource block set depends is fallen back.

[0355] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: the ID of the AI / ML model on which the first resource block set depends is re-indicated.

[0356] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: reconfiguring the ID of the AI / ML model on which the first resource block set depends.

[0357] As one embodiment, updating the ID of the AI / ML model on which the first resource block set depends includes: the AI / ML model on which the first resource block set depends changes.

[0358] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes updating the ID corresponding to the training dataset of the AI / ML model on which the first resource block set depends.

[0359] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes updating the ID corresponding to the inference dataset of the AI / ML model on which the first resource block set depends.

[0360] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes updating the functionality ID corresponding to the AI / ML model on which the first resource block set depends.

[0361] As an example, updating the ID of the AI / ML model on which the first resource block set depends includes updating the AI / ML model included in the functionality corresponding to the AI / ML model on which the first resource block set depends.

[0362] As one embodiment, resetting the first resource block set includes: releasing the first resource block set.

[0363] As one embodiment, resetting the first resource block set includes: deactivating the first resource block set.

[0364] As one embodiment, resetting the first resource block set includes: reconfiguring the first resource block set.

[0365] As one embodiment, resetting the first resource block set includes: the previously configured first resource block set no longer taking effect.

[0366] As one embodiment, resetting the first resource block set includes: clearing the authorizations in the first resource block set.

[0367] As one embodiment, resetting the first resource block set includes: canceling signal transmission in the first resource block set.

[0368] Example 2

[0369] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in the attached diagram. Figure 2 As shown.

[0370] Appendix Figure 2Network architecture 200 is described. 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 architecture for LTE, LTE-A, 5G systems, 5G-Advanced, and future 6G systems is 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 term; the 6G network architecture may be referred to as 6GS (6G System) / EPS or some other suitable term. Network architecture 200 may include one or more UEs 201, RAN (Next Generation Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. Network architecture 200 can interconnect with other access networks, but for simplicity, these entities / interfaces are not shown. (See attached...) Figure 2As shown, network architecture 200 provides packet-switched 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. RAN 202 includes node B 203 and other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul). Node 203 may also be referred to as a 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 203 provides UE 201 with access to core network 210; said core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or said core network 210 is 6GC. Examples of 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 UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio 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. Node 203 is connected to core network 210 via an S1 / NG interface.The core network 210 includes the MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, the S-GW (Service Gateway) / UPF (User Plane Function) 212, and the 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 5G-CN / EPC 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 connects to Internet service 230. Internet service 230 includes carrier-compliant Internet protocol services, specifically including the Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0371] As an example, the first node in this application includes the UE 201.

[0372] As an example, the second node in this application includes the node 203.

[0373] As an example, node 203 is a macrocell base station.

[0374] As an example, node 203 is a microcell base station.

[0375] As an example, node 203 is a pico cell base station.

[0376] As an example, node 203 is a femtocell.

[0377] As an example, node 203 is a base station device that supports large latency differences.

[0378] As an example, node 203 is a flight platform device.

[0379] As one example, node 203 is a satellite device.

[0380] As one embodiment, the node 203 is a test device (e.g., a transceiver device simulating part of the functions of a base station, a signaling tester).

[0381] As an example, the UE 201 includes a mobile phone.

[0382] As an example, the UE 201 is a vehicle including a car.

[0383] As an example, the wireless link from the UE 201 to the node 203 is an uplink, which is used to perform uplink transmissions.

[0384] As an example, the radio link from node 203 to UE 201 is a downlink, which is used to perform downlink transmissions.

[0385] As an example, the wireless link between the node 203 and the UE 201 includes a cellular link.

[0386] As an example, the node 203 and the UE 201 are connected via the Uu air interface.

[0387] As an example, the sender of the first information block in this application includes the node 203.

[0388] As an example, the recipient of the first information block in this application includes the UE 201.

[0389] As an example, the sender of the second information block in this application includes the UE 201.

[0390] As an example, the recipient of the second information block in this application includes the node 203.

[0391] As an example, the sender of the first sequence in this application includes the node 203.

[0392] As an example, the recipient of the first sequence in this application includes the UE 201.

[0393] As an example, the sender of the first signaling in this application includes the node 203.

[0394] As an example, the recipient of the first signaling in this application includes the UE 201.

[0395] As an example, in this application, the first signal is an uplink signal, and the sender of the first signal includes the UE 201.

[0396] As an example, in this application, the first signal is an uplink signal, and the receiver of the first signal includes the node 203.

[0397] As an example, in this application, the first signal is a downlink signal, and the sender of the first signal includes the node 203.

[0398] As an example, in this application, the first signal is a downlink signal, and the receiver of the first signal includes the UE 201.

[0399] As an example, node 203 supports the deployment of network-side AI / ML models.

[0400] As an example, the UE 201 supports the deployment of AI / ML models on the UE side.

[0401] As an example, the node 203 supports downlink dynamic scheduling triggered by the UE.

[0402] As an example, the node 203 supports uplink dynamic scheduling triggered by the UE.

[0403] As an example, the UE 201 supports UE-triggered downlink dynamic scheduling.

[0404] As an example, the UE 201 supports UE-triggered uplink dynamic scheduling.

[0405] As an example, the UE 201 supports a 5G system.

[0406] As one example, the node 203 supports a 5G system.

[0407] As an example, the UE 201 supports at least a 6G system.

[0408] As an example, the node 203 supports at least a 6G system.

[0409] Example 3

[0410] 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 the attached diagram. Figure 3 As shown.

[0411] Figure 3This is a schematic diagram illustrating an embodiment of a wireless protocol architecture for the user plane 350 and the control plane 300. Figure 3The wireless protocol architecture for the control plane 300 between the first communication node device (UE or RSU in V2X, onboard equipment or onboard communication module) and the second node device (gNB, UE or RSU in V2X, onboard equipment or onboard communication module), or between two UEs, is illustrated 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 as PHY 301 in this document. L2305 sits above PHY 301 and is responsible for the link between the first and second node devices, or between two UEs, via PHY 301. L2305 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 Quest). 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 among 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 L2355, RLC sublayer 353 in L2355, and MAC sublayer 352 in L2355. However, PDCP sublayer 354 also provides header compression for upper-layer packets to reduce wireless transmission overhead. L2355 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 Bearer (DRB) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above L2355, 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.).

[0412] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the first node in this application.

[0413] As an example, Appendix Figure 3 The wireless protocol architecture described herein is applicable to the second node in this application.

[0414] As an example, in this application, the first information block is generated in the RRC 306.

[0415] As an example, in this application, the first information block is generated in MAC 302 or MAC 352.

[0416] As an example, the second information block in this application is generated in MAC 302 or MAC 352.

[0417] As an example, the second information block in this application is generated in the PHY301 or the PHY351.

[0418] As an example, in this application, the first signaling is generated in the PHY301 or the PHY351.

[0419] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0420] As an example, the higher layer described in this application includes the RRC layer.

[0421] As an example, the higher-layer signaling described in this application includes RRC IE.

[0422] As an example, the higher-level signaling described in this application includes RRC messages.

[0423] As an example, the higher layer described in this application includes the MAC layer.

[0424] As an example, the higher-layer signaling described in this application includes MAC CE.

[0425] Example 4

[0426] 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 the attached diagram. Figure 4 As shown. (Attached) Figure 4 This is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0427] 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.

[0428] 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.

[0429] 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.

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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 apparatus at least receives the first information block in this application, the first information block indicating the first resource block set in this application; transmits the second information block in this application, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling; the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, K1 being a positive integer greater than 1, at least two of the K1 resource blocks occupying orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0434] 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 information block in this application; and sending the second information block in this application.

[0435] 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 information block in this application, the first information block indicating the first resource block set in this application; receives the second information block in this application, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling; the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0436] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, which generates actions when executed by at least one processor, the actions including: sending the first information block in this application; and receiving the second information block in this application.

[0437] As an example, the first node in this application includes the second communication device 450.

[0438] As an example, the second node in this application includes the first communication device 410.

[0439] 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 information block 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 information block in this application.

[0440] As an example, at least one of {the antenna 452, the transmitter 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to transmit the second information block in this application; at least one of {the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the controller / processor 475, and the memory 476} is used to receive the second information block in this application.

[0441] As an example, at least one of {the antenna 420, the transmitter 418, the transmission processor 416, the multi-antenna transmission processor 471, the controller / processor 475, and the memory 476} is used to transmit the first sequence in this application; at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first sequence in this application.

[0442] As a sub-implementation of this embodiment, in this application, the second information block indicates the reception of the first signal, and at least one of {the antenna 420, the transmitter 418, the transmission processor 416, the multi-antenna transmission processor 471, the controller / processor 475, and the memory 476} is used to transmit the first signal in the first resource set in this application; at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signal in the first resource set in this application.

[0443] As a sub-implementation of this embodiment, in this application, the second information block indicates the transmission of the first signal, and at least one of {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} is used to transmit the first signal in the first resource set in this application; and at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476} is used to receive the first signal in the first resource set in this application.

[0444] 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.

[0445] As a sub-implementation of this embodiment, 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 signal in the first resource subset of 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 signal in the first resource subset of this application.

[0446] As an example, at least one of {the antenna 452, the transmitter 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to transmit a first signal in the second resource subset of this application; at least one of {the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the controller / processor 475, and the memory 476} is used to receive a first information block in the second resource subset of this application.

[0447] Example 5

[0448] 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 the attached diagram. Figure 5 As shown. In the appendix Figure 5 In this embodiment, 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. Where there is no conflict, the embodiments, sub-embodiments, and supplementary embodiments in embodiments 6, 7, and 8 can be applied to embodiment 5; conversely, where there is no conflict, any embodiment, sub-embodiment, and supplementary embodiment in embodiment 5 can be applied to embodiments 6, 7, and 8.

[0449] For the first node U1, the first information block is received in step S510; the second information block is sent in step S511.

[0450] For the second node N2, the first information block is sent in step S520; the second information block is received in step S521.

[0451] In embodiment 5, the first information block indicates a first resource block set; the second information block indicates a first resource set from the first resource block set, the first resource set being for dynamic scheduling; the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0452] As an example, the first node U1 is the first node in this application.

[0453] As an example, the second node N2 is the second node in this application.

[0454] 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.

[0455] 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.

[0456] 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.

[0457] As one example, the second node N2 and the first node U1 communicate via the Uu interface.

[0458] As one example, the second node N2 is the maintenance base station of the serving cell of the first node U1.

[0459] As an example, the transmission channel occupied by the first information block includes DL-SCH (DownLink-Shared Channel).

[0460] As an example, the physical layer channel occupied by the first information block includes PDSCH (Physical Downlink Shared Channel).

[0461] As an example, the physical layer channel occupied by the second information block includes PUCCH.

[0462] As one embodiment, the physical layer channel occupied by the second information block includes PUSCH (Physical Uplink Shared Channel).

[0463] As an example, step S510 precedes step S511; step S520 precedes step S521.

[0464] Example 6

[0465] 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 the attached diagram. Figure 6 As shown. In the appendix Figure 6 In this embodiment, 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. Where there is no conflict, the embodiments, sub-embodiments, and supplementary embodiments in Embodiment 6 can be applied to Embodiment 5; conversely, where there is no conflict, any embodiment, sub-embodiment, and supplementary embodiment in Embodiment 5 can be applied to Embodiment 6.

[0466] In case (a):

[0467] -For the first node U3, the first sequence is received in step S630; the first signal is sent in the first resource set in step S631a;

[0468] - For the second node N4, a first sequence is sent in step S640; a first signal is received in the first resource set in step S641a.

[0469] In case (b):

[0470] -For the first node U3, a first sequence is received in step S630; a first signal is received in the first resource set in step S631b.

[0471] - For the second node N4, a first sequence is sent in step S640; a first signal is sent in the first resource set in step S641b.

[0472] In embodiment 6, the first sequence confirms the second information block, and in this application, the second information block schedules the first signal.

[0473] As an example, the first sequence is a pseudo-random sequence.

[0474] As an example, the first sequence is a ZC (Zadoff-Chu) sequence.

[0475] As an example, the first sequence is a Gold sequence.

[0476] As an example, the first sequence is an m-sequence.

[0477] As an example, the first sequence is an M-sequence.

[0478] As an example, the first sequence is generated by cyclically shifting a pseudo-random sequence.

[0479] As an example, the reception of the first sequence is achieved through coherent detection.

[0480] As an example, the reception of the first sequence is achieved through decoding.

[0481] As an example, the time-frequency resources occupied by the first sequence depend on the time-frequency resources occupied by the second information block.

[0482] As an example, the temporal resources occupied by the first sequence depend on the temporal resources occupied by the second information block.

[0483] As an example, the frequency domain resources occupied by the first sequence depend on the frequency domain resources occupied by the second information block.

[0484] As an example, the spatial reception parameters used by the first sequence depend on the spatial transmission parameters of the second information block.

[0485] As an example, the reception of the first sequence is achieved through blind detection.

[0486] As an example, the first sequence carries at least one bit of information.

[0487] As an example, the first node U3 determines the information of the received first sequence through blind detection.

[0488] As an example, the first sequence confirms the second information block.

[0489] As an example, the first sequence is a feedback to the second information block.

[0490] As an example, the first sequence indicates whether the second information block has been correctly received by the second node N4.

[0491] As an example, the first sequence indicates that the second information block was correctly received by the second node N4.

[0492] As an example, the first sequence indicates whether to cancel the transmission of the first signal.

[0493] As an example, the first sequence confirms that the transmission of the first signal is not cancelled.

[0494] As an example, the first sequence indicates that the transmission of the first signal is not cancelled.

[0495] As one embodiment, the second information block schedules the first signal.

[0496] As one embodiment, the second information block carries the scheduling information of the first signal.

[0497] As an example, the scheduling information of the first signal includes one or more of the following: time-domain resources, frequency-domain resources, MCS (Modulation and Coding Scheme), DMRS (Demodulation reference signal) ports, HARQ process number, TCI state, RV (Redundancy version), NDI (New Data Indicator), Antenna ports, and SRS (Sounding Reference Signal request).

[0498] As a sub-implementation of this embodiment, the time-domain information includes the first resource set.

[0499] As a sub-implementation of this embodiment, the frequency domain information includes the first resource set.

[0500] As an example, the first signal is a baseband signal.

[0501] As an example, the first signal is a radio frequency signal.

[0502] As an example, the first signal is a wireless signal.

[0503] As one embodiment, the resources occupied by the first signal are the first resource set.

[0504] As one embodiment, the second information block indicates the MCS used by the first signal.

[0505] As an example, the first signal is generated by bit blocks.

[0506] As an example, the first signal is generated through at least one transmission block.

[0507] As one embodiment, the first signal carries a bit block, the bit block comprising at least one TB or at least one CBG (Code block group).

[0508] As an example, Appendix Figure 6 The step in case (a) is present; the step in case (b) is not present; the method applied to the first node in the application includes: receiving a first sequence; sending a first signal in a first resource set.

[0509] As a sub-implementation of this embodiment, the resources occupied by the first resource set may or may be used for uplink signal transmission.

[0510] As a sub-implementation of this embodiment, the second information block indicates the transmission of the first signal.

[0511] As a sub-implementation of this embodiment, the second information block notifies the second node N4 of the transmission of the first signal.

[0512] As a sub-example of this embodiment, the transmission channel occupied by the first signal includes UL-SCH (UpLink-Shared Channel).

[0513] As a sub-implementation of this embodiment, the physical layer channel occupied by the first signal includes PUSCH.

[0514] As a sub-implementation of this embodiment, step S631a is after step S630; step S641a is after step S640.

[0515] As a sub-implementation of this embodiment, step S630 is attached. Figure 6 Step S511 is described above; step S640 is described above step S521.

[0516] As an example, Appendix Figure 6 The step in case (b) is present; the step in case (a) is not present; the method applied to the first node in the application includes: receiving a first sequence; receiving a first signal in a first resource set.

[0517] As a sub-implementation of this embodiment, the resources occupied by the first resource set may or may be used for downlink signal transmission.

[0518] As a sub-implementation of this embodiment, the second information block indicates the reception of the first signal.

[0519] As a sub-implementation of this embodiment, the second information block notifies the second node N4 to transmit the first signal.

[0520] As a sub-implementation of this embodiment, the transmission channel occupied by the first signal includes DL-SCH.

[0521] As a sub-implementation of this embodiment, the physical layer channel occupied by the first signal includes PDSCH.

[0522] As a sub-implementation of this embodiment, step S631b is after step S630; step S641b is after step S640.

[0523] As a sub-implementation of this embodiment, step S630 is attached. Figure 6 Step S511 is described above; step S640 is described above step S521.

[0524] As an example, Appendix Figure 6 In case (a), steps S631a and S641a exist; in case (b), steps S631b and S641b do not exist.

[0525] As an example, Appendix Figure 6 In case (a), steps S631a and S641a do not exist; in case (b), steps S631b and S641b exist.

[0526] As an example, Appendix Figure 6Step S630 in case (a) is the same as step S630 in case (b); step S640 in case (a) is the same as step S640 in case (b).

[0527] Example 7

[0528] Example 7 illustrates a third flowchart of transmission between a first node and a second node according to an embodiment of this application, as shown in the attached diagram. Figure 7 As shown. In the appendix Figure 7 In this embodiment, the first node U5 and the second node N6 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. Where there is no conflict, the embodiments, sub-embodiments, and supplementary embodiments in Embodiment 5 can be applied to Embodiment 7; conversely, where there is no conflict, any embodiment, sub-embodiment, and supplementary embodiment in Embodiment 7 can be applied to Embodiment 5.

[0529] For the first node U5, the first signaling is received in step S750; the first signal is received in the first resource subset in step S751.

[0530] For the second node N6, a first signaling is sent in step S760; a first signal is sent in the first resource subset in step S761.

[0531] In Embodiment 7, the first signaling depends on the second information block; the first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

[0532] As an example, the first signaling is dynamic signaling.

[0533] As an example, the first signaling is physical layer control signaling.

[0534] As an example, the first signaling is DCI (Downlink Control Information).

[0535] As an example, the first signaling is DL DCI.

[0536] As one embodiment, the first signaling carries scheduling information of the first signal.

[0537] As an example, the scheduling information of the first signal includes one or more of the following: time-domain resources, frequency-domain resources, MCS, DMRSports, HARQ process number, TCI state, RV, NDI, and Antennaports.

[0538] As a sub-implementation of this embodiment, the time-domain information includes the first resource subset.

[0539] As a sub-implementation of this embodiment, the frequency domain information includes the first resource subset.

[0540] As an example, the resources occupied by the first signal are a subset of the first resources.

[0541] As an example, the first signaling indicates the MCS used by the first signal.

[0542] As one embodiment, the second information block includes a DLSR (DownLink Scheduling Request).

[0543] As one example, the first signaling depends on the second information block.

[0544] As one embodiment, the first signaling includes feedback for the second information block.

[0545] As one embodiment, the first signaling includes an acknowledgment of the second information block.

[0546] As one embodiment, the second node N6 sends the first signaling after decoding the second information block.

[0547] As one example, the first signaling is the response of the second node N6 to the second information block.

[0548] As one embodiment, the second information block carries partial scheduling information of the first signal, and the partial scheduling information includes the first resource set.

[0549] As an example, in response to receiving the second information block, the second node N6 sends the first signaling, which carries the first signal portion scheduling information, the portion scheduling information including the first resource subset.

[0550] As one embodiment, the number of information bits occupied by the first signaling depends on the first resource set indicated by the second information block.

[0551] As an example, the format used by the first signaling depends on the first resource set indicated by the second information block.

[0552] As one embodiment, the second information block implicitly indicates the first resource set, and the first signaling explicitly indicates the first resource subset.

[0553] As an example, the temporal resources of the second information block implicitly indicate the temporal resources occupied by the first resource set.

[0554] As an example, the first signaling explicitly indicates the temporal start position of the first resource subset.

[0555] As one embodiment, the first signaling indicates the first resource subset from the first resource set.

[0556] As one embodiment, the first resource set includes the first resource subset.

[0557] As an example, the first resource subset is the first resource set.

[0558] As an example, at least one time-frequency resource belongs to the first resource set but not to the first resource subset.

[0559] As an example, the first resource subset belongs to one of the multiple resource subsets described in Embodiment 10 of this application.

[0560] As one embodiment, the second information block and the first signaling jointly indicate the first signal.

[0561] As one embodiment, the second information block and the first signaling are used together to schedule the first signal.

[0562] As one embodiment, the second information block and the first signaling are used together to indicate the first resource subset from the first resource block set.

[0563] As an example, both the second information block and the first signaling carry scheduling information of the first signal.

[0564] As an example, the physical layer channel occupied by the first signaling includes PDCCH.

[0565] As an example, the first signal is a baseband signal.

[0566] As an example, the first signal is a radio frequency signal.

[0567] As an example, the first signal is a wireless signal.

[0568] As an example, the first signal is generated by bit blocks.

[0569] As an example, the first signal is generated through at least one transmission block.

[0570] As one embodiment, the first signal carries a bit block, the bit block comprising at least one TB or at least one CBG.

[0571] As an example, the transmission channel occupied by the first signal includes DL-SCH.

[0572] As an example, the physical layer channel occupied by the first signal includes PDSCH.

[0573] As an example, step S751 is after step S750; step 761 is after step S760.

[0574] As one embodiment, step S750 is in the appendix Figure 5 Step S511 is described above; step S760 is described above, following step S521.

[0575] Example 8

[0576] Example 8 illustrates a fourth flowchart of transmission between a first node and a second node according to an embodiment of this application, as shown in the attached diagram. Figure 8 As shown. In the appendix Figure 8 In this embodiment, the first node U7 and the second node N8 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. Where there is no conflict, the embodiments, sub-embodiments, and supplementary embodiments in Embodiment 5 can be applied to Embodiment 8; conversely, where there is no conflict, any embodiment, sub-embodiment, and supplementary embodiment in Embodiment 8 can be applied to Embodiment 5.

[0577] For the first node U7, in step S870, the first signal is sent in the second resource subset;

[0578] For the second node N8, the first signal is received in the second resource subset in step S880.

[0579] In embodiment 8, the first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

[0580] As an example, the second node N8 blindly detects the first signal from the plurality of resource subsets.

[0581] As an example, the plurality of resource subsets are X1 resource subsets, each of the X1 resource subsets occupies RB(s) corresponding to X1 RB values, and each of the X1 resource subsets occupies the RB(s) occupied by the resource subset with the fewest RBs among the X1 resource subsets.

[0582] As an example, the plurality of resource subsets are X1 resource subsets, each of the X1 resource subsets occupies REs corresponding to X1 RE values, and each of the X1 resource subsets occupies the REs occupied by the resource subset with the fewest REs among the X1 resource subsets.

[0583] As an example, the plurality of resource subsets are the plurality of resource subsets in Embodiment 10 of this application.

[0584] As an example, the first signal is a baseband signal.

[0585] As an example, the first signal is a radio frequency signal.

[0586] As an example, the first signal is a wireless signal.

[0587] As an example, the first signal is generated by bit blocks.

[0588] As an example, the first signal is generated through at least one transmission block.

[0589] As one embodiment, the first signal carries a bit block, the bit block comprising at least one TB or at least one CBG.

[0590] As one example, the transmission channel occupied by the first signal includes UL-SCH.

[0591] As an example, the physical layer channel occupied by the first signal includes PUSCH.

[0592] As one embodiment, step S870 is in the appendix Figure 5 Step S511 is described above; step S880 is described above step S521.

[0593] Example 9

[0594] Example 9 illustrates a schematic diagram of a first resource block set comprising K1 resource blocks according to an embodiment of this application, as shown in the attached diagram. Figure 9 As shown. In the appendix Figure 9In the diagram, the horizontal axis represents time, and the cross-shaped filled rectangles represent the time-domain resources occupied by a resource block. The K1 resource blocks are orthogonal in the time domain. It is worth noting that... Figure 10 For illustrative purposes only, this application does not limit each resource block to occupy the same length of time-domain resources.

[0595] In embodiment 9, the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

[0596] As an example, at least two of the K1 resource blocks occupy different frequency domain resources.

[0597] As a sub-example of this embodiment, at least two of the K1 resource blocks occupy frequency domain resources with different frequency bandwidths.

[0598] As a sub-example of this embodiment, at least two of the K1 resource blocks occupy frequency domain resources with different frequency domain start positions.

[0599] As a sub-example of this embodiment, at least two of the K1 resource blocks occupy frequency domain resources with different frequency domain cutoff positions.

[0600] As one embodiment, the first signal includes K1 sub-signals, which are respectively sent in the K1 resource subsets.

[0601] As a sub-example of this embodiment, the K1 sub-signals are repeatedly transmitted.

[0602] As a sub-implementation of this embodiment, the K1 sub-signals are generated by K1 transmission blocks respectively.

[0603] As a sub-implementation of this embodiment, the K1 sub-signals correspond to K1 HARQ processes respectively.

[0604] As an example, the first node sends the first signal of this application in the K1 resource subsets included in the first resource set.

[0605] As an example, the second information block implicitly indicates the temporal resources of the first resource block set.

[0606] As an example, the temporal resources occupied by the second information block implicitly indicate the temporal resources occupied by the first resource block set.

[0607] As an example, the temporal resources occupied by the second information block implicitly indicate the temporal resources occupied by the first resource block included in the first resource block set.

[0608] Example 10

[0609] Example 10 illustrates a schematic diagram of a first resource set comprising multiple resource subsets according to an embodiment of this application, as shown in the attached diagram. Figure 10 As shown. In the appendix Figure 10 In this context, the first resource set includes four resource granularities, denoted as resource granularity #1, resource granularity #2, resource granularity #3, and resource granularity #4. The resources occupied by the first resource set at each granularity are represented by a rectangle with a thick outline, and a rectangle filled with intersecting diamonds represents the resources occupied by a subset of resources within the first resource set. Specifically, resource granularity #1 includes four resource subsets, resource granularity #2 includes three resource subsets, resource granularity #3 includes one resource subset, and resource granularity #4 includes one resource subset. It is worth noting that... Figure 10 This application is provided as an example only and is intended to present the relevant concepts in a specific manner. It does not limit the first resource set to occupy continuous time-domain or frequency-domain resources, nor does it limit the number of resource granularities included in the first resource set or the number of resource subsets included in each resource granularity.

[0610] In Example 10, the first resource set includes multiple resource subsets.

[0611] As an example, the first resource set occupies continuous temporal resources.

[0612] As an example, the first resource set occupies consecutive frequency domain resources.

[0613] As a sub-implementation of the two embodiments described above, the continuous resource allocation method is simple to implement, simplifies signal reception processing, and also reduces the signaling overhead of the second information block indicating the first resource set.

[0614] As an example, the first resource set occupies discontinuous temporal resources.

[0615] As an example, the first resource set occupies discontinuous frequency domain resources.

[0616] As a sub-implementation of the two embodiments described above, discrete frequency domain resource allocation can achieve frequency-selective gain, and the reliability of signal transmission can be improved in discrete time domain resources by repeating transmissions or reducing the code rate.

[0617] As an example, this application supports the first resource set to adopt different resource allocation methods under different channel states. One optional implementation is that the first node can indicate in the second information block whether the first resource set is based on continuous resource allocation or discrete resource allocation. Another optional implementation is that in this application, the second node indicates the resource allocation method of the first resource set through higher-level parameters, which can be transmitted through the first information block.

[0618] As an example, any one of the multiple resource subsets occupies consecutive temporal resources.

[0619] As an example, any one of the multiple resource subsets occupies discontinuous temporal resources.

[0620] As an example, any one of the multiple resource subsets occupies consecutive frequency domain resources.

[0621] As an example, any one of the multiple resource subsets occupies discontinuous frequency domain resources.

[0622] As an example, the existence of at least one resource subset within the plurality of resource subsets indicates that the resource subset occupies continuous temporal resources.

[0623] As an example, the existence of at least one resource subset in the plurality of resource subsets indicates that the resource subset occupies discontinuous temporal resources.

[0624] As an example, the existence of at least one of the multiple resource subsets means that the resource subset occupies consecutive frequency domain resources.

[0625] As an example, the existence of at least one of the multiple resource subsets indicates that the resource subset occupies discontinuous frequency domain resources.

[0626] As an example, at least two of the multiple resource subsets occupy overlapping time-frequency resources.

[0627] As an example, at least two of the multiple resource subsets occupy orthogonal frequency domain resources.

[0628] As an example, at least two of the multiple resource subsets occupy orthogonal temporal resources.

[0629] As an example, at least two of the multiple resource subsets occupy overlapping frequency domain resources.

[0630] As an example, at least two of the multiple resource subsets occupy overlapping temporal resources.

[0631] As an example, any two resource subsets in the plurality of resource subsets occupy the same number of resource particles.

[0632] As an example, at least two resource subsets in the plurality of resource subsets occupy different numbers of resource particles.

[0633] As an example, the number of resource particles occupied by any two resource subsets in the plurality of resource subsets is different.

[0634] As an example, this application supports multiple UE-triggered dynamic scheduling implementation mechanisms, reducing the requirements on UE capabilities and making it flexibly applicable to different terminals; correspondingly, for different implementation mechanisms, the resource subset occupied by UE-triggered dynamic scheduling also supports multiple different resource allocation methods.

[0635] As an example, the resource granularity included in the first resource set is a higher-layer signaling configuration.

[0636] As a sub-implementation of this embodiment, the higher-layer signaling includes the first information block.

[0637] As a sub-implementation of this embodiment, the higher-layer signaling includes the set of configuration parameters for the first resource block set described in this application.

[0638] As an example, the number of resource subsets included in any resource granularity in the first resource set is configured by higher-layer signaling.

[0639] As a sub-implementation of this embodiment, the higher-layer signaling includes the first information block.

[0640] As a sub-implementation of this embodiment, the higher-layer signaling includes the set of configuration parameters for the first resource block set described in this application.

[0641] As an example, the second node in this application blindly detects the first signal from the plurality of resource subsets.

[0642] As an example, the plurality of resource subsets are nested in the first resource set.

[0643] Example 11

[0644] Example 11 illustrates a schematic diagram of a set of configuration parameters for a first resource block set according to an embodiment of this application, as shown in the attached diagram. Figure 11 As shown. In the appendix Figure 11In this context, the set of configuration parameters includes at least one of power parameters or space parameters; optionally, the set of configuration parameters includes the predicted idle probability for resource blocks in the first set of resource blocks.

[0645] In embodiment 11, the first information block includes the set of configuration parameters for the first set of resource blocks.

[0646] As one embodiment, the first information block includes the set of configuration parameters for the first set of resource blocks.

[0647] As one embodiment, the first information block carries the set of configuration parameters for the first set of resource blocks.

[0648] As an example, the set of configuration parameters for the first set of resource blocks includes power parameters and space parameters.

[0649] As one embodiment, the set of configuration parameters includes power parameters and predicted idle probabilities for resource blocks in the first set of resource blocks.

[0650] As an example, the set of configuration parameters includes spatial parameters and predicted idle probabilities for resource blocks in the first set of resource blocks.

[0651] As an example, the set of configuration parameters includes power parameters, space parameters, and predicted idle probabilities for resource blocks in the first set of resource blocks.

[0652] As one embodiment, the parameter configuration set for the first resource block set is the default transmission parameters configured for the wireless signals transmitted in the first resource block set. The advantage of the above scheme is that, especially in time-frequency resources where the channel state changes slowly, configuring slowly changing parameters in advance through higher-level parameters can reduce dynamic signaling overhead and save spectrum resources. However, correspondingly, the more parameters configured in the parameter set, the more obvious the limitations on the flexibility of transmission configuration become. An optional implementation scheme is that the default transmission parameters can be updated through dynamic signaling or further selected or indicated through dynamic signaling.

[0653] As an example, the set of configuration parameters for the first resource block set includes a power parameter, which indicates the transmission power used by the signals transmitted in the first resource block set.

[0654] As an example, the set of configuration parameters for the first resource block set includes a power parameter, which indicates the maximum transmit power value of the wireless signal transmitted in the first resource block set.

[0655] As an example, the configuration parameter set for the first resource block set includes K1 power parameters, each of which indicates the transmission power of the wireless signal transmitted in the K1 resource blocks included in the first resource block set.

[0656] As an example, the configuration parameter set for the first resource block set includes K1 power parameters, each of which indicates the maximum transmit power value of the wireless signal transmitted in the K1 resource blocks included in the first resource block set.

[0657] As an example, the set of configuration parameters for the first resource block set includes spatial parameters, which indicate the spatial relationships on which the wireless signals transmitted in the first resource block set are based.

[0658] As an example, the configuration parameter set for the first resource block set includes K1 spatial parameters, each of which indicates the spatial relationship on which the wireless signals transmitted in the K1 resource blocks included in the first resource block set are based.

[0659] As an example, the set of configuration parameters for the first resource block set includes spatial parameters, which indicate spatial transmission parameters or spatial reception parameters of the wireless signals transmitted in the first resource block set.

[0660] As an example, the configuration parameter set for the first resource block set includes K1 spatial parameters, which respectively indicate the spatial transmission parameters or spatial reception parameters of the wireless signals transmitted in the K1 resource blocks included in the first resource block set.

[0661] As an example, the set of configuration parameters for the first resource block set includes spatial parameters, which indicate the TCI State corresponding to the wireless signal transmitted in the first resource block set.

[0662] As an example, the configuration parameter set for the first resource block set includes K1 spatial parameters, each of which indicates the TCI State of the wireless signal transmitted in the K1 resource blocks included in the first resource block set.

[0663] As an example, the set of configuration parameters for the first resource block set includes spatial parameters, which indicate the QCL relationship of the wireless signals transmitted in the first resource block set.

[0664] As an example, the configuration parameter set for the first resource block set includes K1 spatial parameters, each of which indicates the QCL relationship of the wireless signals transmitted in the K1 resource blocks included in the first resource block set.

[0665] As an example, QCL in this application refers to Quasi Co-Location.

[0666] As an example, QCL in this application refers to Quasi Co-Located.

[0667] As an example, the QCL described in this application includes: QCL assumption.

[0668] As an example, the types of QCLs described in this application include typeA, typeB, typeC, and typeD.

[0669] As an example, the QCL parameters of type A in this application include Doppler shift, Doppler spread, average delay, and delay spread; the QCL parameters of type B include Doppler shift and Doppler spread; the QCL parameters of type C include Doppler shift and average delay; and the QCL parameters of type D include spatial Rx parameters.

[0670] As an example, the QCL described in this application includes at least one of: Doppler shift, Doppler spread, average delay, delay spread, spatial transmission parameter (Txparameter), or spatial reception parameter (Rxparameter).

[0671] As an example, the specific definitions of type A, type B, type C and type D in this application can be found in section 5.1.5 of 3GPP TS (Technical Specification) 38.214.

[0672] As an example, the spatial transmission parameters described in this application include at least one of the following: a transmission antenna port, a transmission antenna port group, a transmission beam, a transmission analog beamforming matrix, a transmission analog beamforming vector, a transmission beamforming matrix, a transmission beamforming vector, or a spatial transmission filter.

[0673] As an example, the spatial receiving parameters described in this application include at least one of a receiving beam, a receiving analog beamforming matrix, a receiving analog beamforming vector, a receiving beamforming matrix, a receiving beamforming vector, or a spatial receiving filter.

[0674] As one embodiment, the set of configuration parameters for the first set of resource blocks includes the predicted idle probability for the resource blocks in the first set of resource blocks.

[0675] As an example, the set of configuration parameters for the first resource block set includes K1 idle probability values, each of which is specific to one of the K1 resource blocks included in the first resource block set.

[0676] As an example, the set of configuration parameters for the first resource block set includes the probability value of the first node sending a signal in the first resource block set.

[0677] As an example, the set of configuration parameters for the first resource block set includes the probability value of the first node receiving a signal in the first resource block set.

[0678] As an example, the set of configuration parameters for the first resource block set includes the probability value that the first node has data to transmit in the first resource block set.

[0679] Example 12

[0680] Example 12 illustrates a schematic diagram of RAN domain AI / ML function deployment according to an embodiment of this application, as shown in the attached diagram. Figure 12 As shown. In the appendix Figure 12 In this context, gNB can be replaced with network equipment such as eNB or 6G base stations.

[0681] In Example 12, the management of the 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 in the attached figure). Figure 12 (As shown by the dashed arrow in the diagram). The RAN domain ML training function 1203 is located in the RAN domain management function 1202; while the ML inference function is located in the base station, 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.

[0682] 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.

[0683] ML training functionality 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 functionality for MDA (Management Data Analytics) can be deployed in MDAF (Management Data Analytics Function); ML training for network data analytics can be deployed in NWDAF (Network Data Analytics Function), meaning the ML training functionality is an MTLF (Model Training Logical Function).

[0684] 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.

[0685] Similarly, ML testing capabilities can also be deployed in cross-domain management systems or domain-specific management systems.

[0686] 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.

[0687] 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.

[0688] As an example, one of the gNBs (or base stations) in Example 12 is the second node of this application.

[0689] Example 13

[0690] Example 13 illustrates a schematic diagram of the deployment of AI / ML functions in a UE according to an embodiment of this application, as shown in the attached diagram. Figure 13 As shown. In the appendix Figure 13 In this context, the RAN domain ML training function 1304 is optional.

[0691] 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.

[0692] 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.

[0693] 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.

[0694] Optionally, the UE function 1303 also includes a CN domain ML training function ( Figure 13 (Not included in the text).

[0695] Optionally, the UE function 1303 also includes an AI / ML deployment function. Figure 13 It is not included in the list, which is used to load ML models and data.

[0696] 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.

[0697] As an example, the ML model and the associated metadata are loaded by the first node from a network device or a remote server.

[0698] 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).

[0699] 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).

[0700] As an example, the first set of resource blocks in this application is obtained through inference by the AI / ML inference function 1305.

[0701] As an example, the idle probability of resource blocks in the first resource block set in this application is obtained through inference by the AI / ML inference function 1305.

[0702] As an example, the ML model is based on NN (Neural Networks).

[0703] As an example, the ML model is based on ANN (Artificial Neural Networks).

[0704] As an example, the ML model is based on CNN (Convolutional Neural Networks).

[0705] As an example, the ML model is based on the LLM (Large Language Model) architecture.

[0706] As an example, the ML model is based on the Transformer architecture.

[0707] As an example, the ML model is based on LSTM (Long Short-Term Memory network).

[0708] As an example, the ML model is based on MLP (MultiLayer Perceptron).

[0709] As an example, the ML model is based on GAN (Generative Adversarial Networks).

[0710] As an example, the ML model is based on a lightweight neural network.

[0711] As a sub-example of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet, and SqueezeNet.

[0712] Example 14

[0713] 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 the attached diagram. Figure 14 As shown. In the appendix Figure 14 In this context, the processing system based on artificial intelligence or machine learning includes a first processor, a second processor, a third processor, and a fourth processor.

[0714] 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, optionally, the third processor sends the first-class output to the fourth processor. (See Appendix...) Figure 14 In this configuration, the first type of feedback and the second type of feedback are optional; the second processor includes ML training functionality; and the third processor includes ML inference functionality.

[0715] As one embodiment, the fourth processor includes ML testing functionality.

[0716] As one embodiment, the fourth processor includes performance monitoring / evaluation of the ML model.

[0717] As one embodiment, 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.

[0718] 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.

[0719] As one embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0720] As an example, the third processor belongs to the second node in this application.

[0721] As an example, the first dataset includes training data.

[0722] 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.

[0723] As an example, the second processor belongs to the first node; the above method avoids passing the first dataset to the second node.

[0724] As an example, the second processor belongs to the second node in this application; the above method supports joint training and optimizes system performance.

[0725] As an example, the second processor belongs to the core network; the above method supports network-wide joint training, further optimizing system performance.

[0726] As an example, the second dataset includes inference data.

[0727] 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.

[0728] As one embodiment, the output of the third processor includes the first set of resource blocks.

[0729] As an example, the output of the third processor includes a predicted idle probability for resource blocks in the first set of resource blocks.

[0730] As one embodiment, the output of the third processor includes resources that can be used for dynamic scheduling triggered by the first node.

[0731] As a sub-implementation of this embodiment, the resources used for dynamic scheduling triggered by the first node include the first resource block set.

[0732] As a sub-implementation of this embodiment, the resources for dynamic scheduling triggered by the first node include a set of configuration parameters for the first resource block set.

[0733] As an example, updating the ID of the AI / ML model described in this application includes updating the first dataset.

[0734] As an example, updating the ID of the AI / ML model described in this application includes updating the third processor.

[0735] 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.

[0736] 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.

[0737] 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.

[0738] 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.

[0739] 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.

[0740] Example 15

[0741] Example 15 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application, as shown in the attached diagram. Figure 15 As shown. In the appendix Figure 15 In this process, the first and second operations belong to the first stage, the third operation belongs to the second stage, the fourth operation belongs to the third stage, and the fifth operation belongs to the fourth stage; the arrowed lines indicate the sequence of the process.

[0742] 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.

[0743] As one embodiment, 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.

[0744] As an example, the first stage includes AI / ML model training.

[0745] As an example, the first stage includes AI / ML model training and AI / ML testing.

[0746] As an example, the AI / ML model training includes initial training and re-training of one or a group of AI / ML entities.

[0747] As an example, the training of the AI / ML model depends on training data.

[0748] As an example, the AI / ML model training includes AI / ML entity validation.

[0749] As an example, the AI / ML entity verification is used to evaluate the performance of the AI / ML entity.

[0750] As an example, the AI / ML entity verification relies on verification data.

[0751] As an example, if the AI / ML entity verification results do not meet expectations, the AI / ML model will be retrained.

[0752] As an example, the AI / ML testing includes testing the validated AI / ML entities to estimate the performance of the trained AI / ML model.

[0753] 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.

[0754] As an example, the AI / ML test relies on test data.

[0755] As one embodiment, the second stage includes AI / ML simulation, which performs AI / ML entity reasoning in a simulation environment.

[0756] As an example, the AI / ML simulation estimates the performance of AI / ML entity reasoning in a simulation environment before using AI / ML entities.

[0757] As one embodiment, the second stage is optional.

[0758] 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.

[0759] As an example, the third stage is optional.

[0760] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[0761] As an example, the fourth stage includes AI / ML inference.

[0762] As an example, the first resource block set is generated based on the fourth stage.

[0763] Example 16

[0764] Example 16 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application, as shown in the attached diagram. Figure 16 As shown. In the appendix Figure 16 In the first node, the processing device 1600 includes a first receiver 1601 and a first transmitter 1602.

[0765] In embodiment 16, the first receiver 1601 receives a first information block, which indicates a first resource block set; the first transmitter 1602 sends a second information block, which indicates a first resource set from the first resource block set, and the first resource set is for dynamic scheduling.

[0766] In Example 16, the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0767] As an example, the K1 resource blocks included in the first resource block set are idle.

[0768] As one embodiment, the first receiver 1601 receives a first sequence; the first receiver 1601 receives a first signal in the first resource set, or the first transmitter 1602 transmits a first signal in the first resource set; the first sequence confirms the second information block, and the second information block schedules the first signal.

[0769] As one embodiment, the first receiver 1601 receives a first signaling and receives a first signal in a first resource subset; the first signaling depends on the second information block; the first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

[0770] As one embodiment, the first transmitter 1602 transmits a first signal in a second resource subset; the first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

[0771] As an example, the K1 resource blocks are orthogonal in the time domain, and the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

[0772] As an example, the ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

[0773] As one embodiment, the first information block includes a set of configuration parameters for the first resource block set, the set of configuration parameters including at least one of power parameters or space parameters.

[0774] As one embodiment, the set of configuration parameters includes the predicted idle probability for resource blocks in the first set of resource blocks.

[0775] As an example, this application supports the first resource set to adopt different resource allocation methods under different channel states. One optional implementation is that the first node can indicate in the second information block whether the first resource set is based on continuous resource allocation or discrete resource allocation. Another optional implementation is that in this application, the second node indicates the resource allocation method of the first resource set through higher-level parameters, which can be transmitted through the first information block.

[0776] As an example, the first set of resource blocks is determined by an AI entity based on AI / ML model prediction or inference. The AI ​​entity is located on the network side, interacting with network devices, or located inside network devices.

[0777] As an example, the first information block is UE-specific.

[0778] As one embodiment, the first information block is UE-specific, and the UE group includes the first node.

[0779] As an example, the first resource block set is UE-specific.

[0780] As an example, the first resource block set is UE-specific.

[0781] As one example, the first resource set is for dynamically scheduled transmissions triggered by the UE.

[0782] As an example, dynamic scheduling triggered by the UE occupies resources in the first resource set.

[0783] As an example, the first node 1600 is a user equipment.

[0784] As an example, the first node 1600 is a terminal.

[0785] As an example, the first node 1600 is a relay node device.

[0786] 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.

[0787] 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.

[0788] Example 17

[0789] 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 the attached diagram. Figure 17 As shown. In the appendix Figure 17 In the second node, the processing device 1700 includes a second transmitter 1701 and a second receiver 1702.

[0790] In embodiment 17, the second transmitter 1701 sends a first information block, the first information block indicating a first resource block set; the second receiver 1702 receives a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling.

[0791] In Example 17, the first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

[0792] As an example, the K1 resource blocks included in the first resource block set are idle.

[0793] As one embodiment, the second transmitter 1701 transmits a first sequence; the second transmitter 1701 transmits a first signal in the first resource set, or the second receiver 1702 receives the first signal in the first resource set;

[0794] The first sequence confirms the second information block, and the second information block schedules the first signal.

[0795] As one embodiment, the second transmitter 1701 sends a first signaling and sends a first signal in a first resource subset; the first signaling depends on the second information block; the first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

[0796] As one embodiment, the second receiver 1702 receives the first signal in the second resource subset;

[0797] The first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

[0798] As an example, the K1 resource blocks are orthogonal in the time domain, and the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

[0799] As an example, the ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

[0800] As one embodiment, the first information block includes a set of configuration parameters for the first resource block set, the set of configuration parameters including at least one of power parameters or space parameters.

[0801] As one embodiment, the set of configuration parameters includes the predicted idle probability for resource blocks in the first set of resource blocks.

[0802] As an example, this application supports the first resource set to adopt different resource allocation methods under different channel states. One optional implementation is that the first node can indicate in the second information block whether the first resource set is based on continuous resource allocation or discrete resource allocation. Another optional implementation is that in this application, the second node indicates the resource allocation method of the first resource set through higher-level parameters, which can be transmitted through the first information block.

[0803] As an example, the first set of resource blocks is determined by an AI entity based on AI / ML model prediction or inference. The AI ​​entity is located on the network side, interacting with network devices, or located inside network devices.

[0804] As an example, the first information block is UE-specific.

[0805] As one embodiment, the first information block is UE-specific, and the UE group includes the first node.

[0806] As an example, the first resource block set is UE-specific.

[0807] As an example, the first resource block set is UE-specific.

[0808] As one example, the first resource set is for dynamically scheduled transmissions triggered by the UE.

[0809] As an example, dynamic scheduling triggered by the UE occupies resources in the first resource set.

[0810] As one example, the second node 1700 is a base station device.

[0811] As one embodiment, the second node 1700 is a user equipment.

[0812] As an example, the second node 1700 is a TRP.

[0813] 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.

[0814] 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.

[0815] 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 stations or system equipment in this application include, but are 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.

[0816] 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 first node for wireless communication and artificial intelligence, characterized in that, include: A first receiver receives a first information block, the first information block indicating a first resource block set; A first transmitter sends a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling; The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

2. The first node according to claim 1, characterized in that, The K1 resource blocks included in the first resource block set are idle.

3. The first node according to claim 1 or 2, characterized in that, include: The first receiver receives the first sequence; The first receiver receives the first signal from the first resource set; Alternatively, the first transmitter sends a first signal in the first resource set; The first sequence confirms the second information block, and the second information block schedules the first signal.

4. The first node according to claim 1 or 2, characterized in that, include: The first receiver receives the first signaling and receives the first signal in the first resource subset; The first signaling depends on the second information block; The first signaling indicates the first resource subset from the first resource set, and the second information block and the first signaling jointly indicate the first signal.

5. The first node according to claim 1 or 2, characterized in that, include: The first transmitter sends a first signal in the second resource subset; The first resource set includes multiple resource subsets, and the second resource subset is one of the multiple resource subsets.

6. The first node according to any one of claims 1 to 5, characterized in that, The K1 resource blocks are orthogonal in the time domain, and the second information block is used to indicate K1 resource subsets from the K1 resource blocks, wherein the first resource set includes the K1 resource subsets.

7. The first node according to any one of claims 1 to 6, characterized in that, The ID of the AI / ML model on which the first resource block set depends is updated, and the first resource block set is reset.

8. The first node according to any one of claims 1 to 7, characterized in that, The first information block includes a set of configuration parameters for the first resource block set, the set of configuration parameters including at least one of power parameters or space parameters.

9. The first node according to claim 8, characterized in that, The set of configuration parameters includes the predicted idle probability for resource blocks in the first set of resource blocks.

10. A second node for wireless communication and artificial intelligence, characterized in that, include: The second transmitter sends a first information block, which indicates a first resource block set. The second receiver receives a second information block, which indicates a first resource set from the first resource block set, and the first resource set is for dynamic scheduling. The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

11. A method for a first node in wireless communication and artificial intelligence, characterized in that, include: Receive a first information block, the first information block indicating a first resource block set; Send a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling; The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

12. A method for a second node in wireless communication and artificial intelligence, characterized in that, include: Send a first information block, which indicates a first set of resource blocks; Receive a second information block, the second information block indicating a first resource set from the first resource block set, the first resource set being for dynamic scheduling; The first resource block set is determined based on an AI / ML model; the first resource block set includes K1 resource blocks, where K1 is a positive integer greater than 1, and at least two of the K1 resource blocks occupy orthogonal temporal resources; the first resource block set depends on the ID of the AI / ML model.

Images