Method and apparatus for wireless communication

By receiving and transmitting CRC bit blocks on the physical layer channel in the wireless communication system and reporting CRC bits using higher-layer signaling, the problem of insufficient transmission reliability under AI/ML functions is solved, achieving more efficient information feedback and optimized AI/ML performance.

WO2026021368A1PCT designated stage Publication Date: 2026-01-29SHANGHAI TUILUO COMM TECH PARTNERSHIP LLP
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Patent Information

Application Number
PCT/CN2025/109505
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-07-25
Filing Date
2025-07-21
Publication Date
2026-01-29

AI Technical Summary

Technical Problem

After the introduction of AI/ML functions, the existing information feedback mechanism may not be conducive to optimizing the transmission performance based on AI/ML functions, making it difficult to guarantee transmission reliability.

Method used

By receiving and transmitting CRC bit blocks on the first physical layer channel and reporting CRC bits using higher-layer AS or NAS signaling, accurate feedback information is provided to optimize reinforcement learning and training of AI/ML functions.

Benefits of technology

It improves the transmission reliability of AI/ML functions, optimizes the performance of AS and NAS, reduces feedback volume and signaling overhead, and avoids information conflicts.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application discloses a method and apparatus for wireless communication. A communication node receiving on a first physical layer channel, wherein a first bit block and CRC bits of the first bit block are carried by the first physical layer channel; and sending first signaling, wherein the CRC bits of the first bit block are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first bit block. The described method helps optimize reinforcement learning of an AI / ML function by feeding back CRC bits.
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Description

A method and apparatus for wireless communication TECHNICAL FIELD

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular, to a transmission method and apparatus of CRC bits in a wireless communication system. BACKGROUND

[0002] Generally, a transmitter attaches (usually multiple) CRC (Cyclic Redundancy Check) bits after information or data, and a receiver judges whether the information or data is correctly received according to the CRC bits.

[0003] In NR R(release)18, the research of AI(Artificial Intelligence) / ML(Machine Learning) technology is commissioned to explore its impact on system performance and system design. In future 6G communication, AI / ML technology may also play an important role. Compared with traditional processing methods, AI / ML has the characteristics of being based on training and needing to be deployed. According to 3GPP standard TS38.300, AI / ML models and algorithms are beyond the scope of 3GPP(the 3rd Generation Partnership Project). SUMMARY

[0004] The applicant found through research that when AI / ML functions are introduced, the existing information feedback mechanism may not be conducive to the optimization of transmission performance based on AI / ML functions, so it is necessary to enhance the feedback information. In view of the above problems, the present application provides a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as the transmission of traditional CRC(Cyclic Redundancy Check) bits. Although the present application involves some descriptions of AI / ML models and algorithms in the specification, those skilled in the art know that these descriptions are not necessary or irreplaceable for wireless cellular communication related solutions. In addition, adopting a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional channel decoding schemes) helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0005] As an embodiment, the interpretation of the terms in this application is referred to the definition of the specification agreement TS 38 series of 3GPP.

[0006] As an embodiment, the interpretation of the terms in this application is referred to the definition of the specification agreement TS 28 series of 3GPP.

[0007] The present application discloses a method used in a first node for wireless communication, characterized in that, comprising:

[0008] receiving on a first physical layer channel; wherein the first bit block and the CRC bits of the first bit block are carried by the first physical layer channel;

[0009] sending a first signaling;

[0010] wherein the CRC bits of the first bit block are generated at the physical layer, and the first signaling comprises at least the CRC bits of the first bit block.

[0011] In the prior art, the CRC bits of the received first bit block are used for information checking of the receiving end, and there is no need to send the CRC bits of the first bit block again after receiving. However, when AI / ML function is introduced, it is difficult to guarantee the reliability of transmission based on AI / ML function if there is not enough accurate feedback information. In the above method, by reporting the CRC bits of the first bit block, the characteristics of the CRC bits are fully utilized, more accurate feedback information is provided for AI / ML function, thereby facilitating the optimization of reinforcement learning and / or training and / or inference of AI / ML function.

[0012] As an embodiment, the CRC bits of the first bit block can be used to identify the first bit block and / or the information received on the first physical layer channel, reducing the amount of feedback.

[0013] As an embodiment, the AI / ML function generating the first bit block can perform reinforcement learning and / or training and / or inference according to the data corresponding to the CRC bits of the first bit block received through the first signaling, thereby optimizing the performance of transmission based on AI / ML function.

[0014] As an embodiment, the first signaling is a higher layer AS (Access Stratum, access layer) signaling.

[0015] The above method reports the CRC bits of the first bit block through the higher layer AS signaling, solves the problem of how to report the CRC bits of the first bit block, and is beneficial to AS to obtain the CRC bits of the first bit block, thereby optimizing the performance of AS.

[0016] The method shortens latency compared to Non-Access Stratum (NAS) signaling.

[0017] The method saves signaling overhead compared to NAS signaling.

[0018] As an embodiment, the first signaling is NAS signaling.

[0019] The method reports the CRC bits of the first bit block through NAS signaling, solves the problem of how to report the CRC bits of the first bit block, and is beneficial to the NAS to obtain the CRC bits of the first bit block, thereby optimizing the performance of the NAS.

[0020] As an embodiment, the first signaling is higher-layer AS signaling, or the first signaling is NAS signaling.

[0021] The method reports the CRC bits of the first bit block through higher-layer AS signaling or NAS signaling, solves the problem of how to report the CRC bits of the first bit block, and improves the flexibility of reporting the CRC bits of the first bit block.

[0022] According to an aspect of the present application, the first signaling includes a first identifier, and the first identifier indicates the first node.

[0023] The method further limits the first signaling to include a first identifier indicating the first node, thereby improving information completeness and being beneficial to avoiding information conflicts caused by the same CRC bits.

[0024] According to an aspect of the present application, the first signaling includes at least part of the bits in the first bit block.

[0025] The method further limits the first signaling to include at least part of the bits in the first bit block, thereby improving information completeness and being beneficial to avoiding information conflicts caused by the same CRC bits.

[0026] According to an aspect of the present application, the first signaling includes information of the first physical layer channel.

[0027] The method considers the impact of the first physical layer channel on the receiving performance, further limits the first signaling to include information of the first physical layer channel, and is beneficial to data analysis and reinforcement learning and / or training and / or inference.

[0028] According to an aspect of the present application, the first signaling comprises a second identifier, the second identifier indicating a first AI / ML model, an output of the first AI / ML model comprising at least one of the first bit block or the CRC bits of the first bit block.

[0029] The above method identifies the output of the first AI / ML model through the CRC bits of the first bit block, thereby facilitating reinforcement learning and / or training and / or inference of the first AI / ML model.

[0030] According to an aspect of the present application, the first signaling comprises a measurement result for a first reference signal resource, and the spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0031] The above method takes into account the influence of the measurement result for the first reference signal resource, and further limits the first signaling to comprise the measurement result for the first reference signal resource.

[0032] According to an aspect of the present application, the method comprises:

[0033] receiving second signaling;

[0034] The first signaling is triggered by the second signaling; the first signaling and the second signaling are both AS signaling of a higher layer, or the first signaling and the second signaling are both NAS signaling.

[0035] The above method triggers the first signaling through the second signaling, which is conducive to network control, reduces unnecessary information reporting, and thereby reduces signaling overhead.

[0036] According to an aspect of the present application, the method comprises:

[0037] In response to the reception of the first physical layer channel, setting the CRC bits of at least the first bit block in a first variable; in response to the reception of the second signaling, setting the first signaling;

[0038] The setting of the first signaling comprises setting the CRC bits of at least the first bit block in the first variable in the first signaling.

[0039] The above method stores the CRC bits of the first bit block in the first variable, which is conducive to enabling the second signaling to obtain the CRC bits of the first bit block when scheduling the first signaling.

[0040] According to an aspect of the present application, the first signaling is triggered by a first event, and the first event depends on the first bit block.

[0041] The method reduces additional signaling interactions by triggering the first signaling based on the first event of the first bit block.

[0042] The method avoids storing the CRC bits of the first bit block, reducing hardware overhead of the first node.

[0043] A method in a second node for wireless communication is disclosed, comprising:

[0044] sending, on a first physical layer channel; wherein the first bit block and the CRC bits of the first bit block are carried by the first physical layer channel;

[0045] receiving a first signaling;

[0046] wherein the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block.

[0047] According to an aspect of the present disclosure, the first signaling includes a first identifier, and the first identifier indicates the first node; or the first signaling includes at least part of the bits in the first bit block.

[0048] According to an aspect of the present disclosure, the first signaling includes information of the first physical layer channel.

[0049] According to an aspect of the present disclosure, the first signaling includes a second identifier, and the second identifier indicates a first AI / ML model, and an output of the first AI / ML model includes at least one of the first bit block or the CRC bits of the first bit block.

[0050] According to an aspect of the present disclosure, the first signaling includes a measurement result for a first reference signal resource, and a spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0051] A method in a second node for wireless communication is disclosed, comprising:

[0052] sending a second signaling;

[0053] wherein the first signaling is triggered by the second signaling; the first signaling and the second signaling are both AS signaling of a higher layer, or the first signaling and the second signaling are both NAS signaling.

[0054] According to an aspect of the present application, as the response to the receiving of the first signaling on the first physical layer channel, the sender of the first signaling sets the CRC bits of the at least the first bit block in a first variable; as the response to the receiving of the second signaling, the sender of the first signaling sets the first signaling; wherein the setting the first signaling comprises setting the CRC bits of the at least the first bit block in the first variable in the first signaling.

[0055] According to an aspect of the present application, the first signaling is triggered by a first event, and the first event depends on the first bit block.

[0056] The present application discloses a method in a third node used for wireless communication, characterized by comprising:

[0057] receiving a first signaling; wherein the sender of the first signaling receives on a first physical layer channel; wherein a first bit block and CRC bits of the first bit block are carried by the first physical layer channel;

[0058] wherein the first signaling is a NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling comprises the CRC bits of the at least the first bit block.

[0059] According to an aspect of the present application, the first signaling comprises a first identifier, and the first identifier indicates the first node; or the first signaling comprises at least part of bits in the first bit block.

[0060] According to an aspect of the present application, the first signaling comprises information of the first physical layer channel.

[0061] According to an aspect of the present application, the first signaling comprises a second identifier, and the second identifier indicates a first AI / ML model, and an output of the first AI / ML model comprises at least one of the first bit block or the CRC bits of the first bit block.

[0062] According to an aspect of the present application, the first signaling comprises a measurement result for a first reference signal resource, and a spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0063] According to an aspect of the present application, the first signaling is triggered by a second signaling; the sender of the first signaling receives the second signaling; and the first signaling and the second signaling are both AS signaling of a higher layer, or the first signaling and the second signaling are both NAS signaling.

[0064] According to an aspect of the present application, as the response to the receiving of the first signaling, the sender of the first signaling sets the CRC bits of the at least the first block of bits in a first variable; as the response to the receiving of the second signaling, the sender of the first signaling sets the first signaling; wherein the setting the first signaling comprises setting the CRC bits of the at least the first block of bits in the first variable in the first signaling.

[0065] According to an aspect of the present application, the first signaling is triggered by a first event, and the first event is dependent on the first block of bits.

[0066] The present application discloses a first node used for wireless communication, comprising:

[0067] a first receiver, receiving on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0068] a first transmitter, transmitting a first signaling;

[0069] wherein the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0070] The present application discloses a second node used for wireless communication, comprising:

[0071] a second transmitter, transmitting on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0072] a second receiver, receiving a first signaling;

[0073] wherein the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0074] The present application discloses a third node used for wireless communication, comprising:

[0075] a third receiver, receiving a first signaling; wherein the sender of the first signaling receives on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0076] The first signaling is a NAS signaling; and the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block. BRIEF DESCRIPTION OF DRAWINGS

[0077] Other features, objects, and advantages of the application will become more apparent from the following detailed description when read in connection with the following accompanying drawings:

[0078] Fig. 1 shows a flow chart of transmission of a first node according to one embodiment of the present application;

[0079] Fig. 2 shows a schematic diagram of a network architecture according to one embodiment of the present application;

[0080] Fig. 3 shows a schematic diagram of an embodiment of a radio protocol architecture for a user plane and a control plane according to one embodiment of the present application;

[0081] Fig. 4 shows a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application;

[0082] Fig. 5 shows a flow chart of a radio signal transmission according to one embodiment of the present application;

[0083] Fig. 6 shows a flow chart of a radio signal transmission according to another embodiment of the present application;

[0084] Fig. 7 shows a flow chart of a radio signal transmission according to yet another embodiment of the present application;

[0085] Fig. 8 shows a flow chart of a radio signal transmission according to still another embodiment of the present application;

[0086] Fig. 9 shows a flow chart of setting of a first variable according to one embodiment of the present application;

[0087] Fig. 10 shows a schematic diagram of a first signaling being triggered by a first event according to one embodiment of the present application;

[0088] Fig. 11 shows a schematic diagram of a first signaling including a first identification according to one embodiment of the present application;

[0089] Fig. 12 shows a schematic diagram of a first signaling including information of a first physical layer channel according to one embodiment of the present application;

[0090] Fig. 13 shows a schematic diagram of a first signaling including a second identification according to one embodiment of the present application;

[0091] Fig. 14 shows a schematic diagram of a first signaling including a measurement result for a first reference signal resource according to one embodiment of the present application;

[0092] FIG. 15 shows a schematic diagram of a protocol stack architecture, according to an embodiment of the present application;

[0093] FIG. 16 shows a schematic diagram of an AI / ML model, according to an embodiment of the present application;

[0094] FIG. 17 shows a schematic diagram of intelligent function deployment of a RAN domain, according to an embodiment of the present application;

[0095] FIG. 18 shows a schematic diagram of intelligent function deployment of a UE, according to an embodiment of the present application;

[0096] FIG. 19 shows a flowchart based on artificial intelligence or machine learning, according to an embodiment of the present application;

[0097] FIG. 20 shows a structural block diagram of a processing apparatus in a first node, according to an embodiment of the present application;

[0098] FIG. 21 shows a structural block diagram of a processing apparatus in a second node, according to an embodiment of the present application;

[0099] FIG. 22 shows a structural block diagram of a processing apparatus in a third node, according to an embodiment of the present application. DETAILED DESCRIPTION

[0100] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict.

[0101] Embodiment 1

[0102] Embodiment 1 shows a flowchart of a first node according to an embodiment of the present application, as shown in FIG. 1. In FIG. 1, each block represents a step, and it is particularly emphasized that the order of the blocks in the figure does not represent the time sequence between the represented steps.

[0103] In embodiment 1, the first node in the present application receives on a first physical layer channel in step 101; wherein a first block of bits and a CRC bit of the first block of bits are carried by the first physical layer channel; sends a first signaling in step 102; wherein the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bit of the first block of bits is generated at the physical layer, and the first signaling includes at least the CRC bit of the first block of bits.

[0104] As an embodiment, the first node is a base station device; and the first physical layer channel is an uplink.

[0105] As one sub-example, the first physical layer channel is a PUSCH (Physical Uplink Shared Channel).

[0106] As one sub-example, the first physical layer channel is a PUCCH (Physical Uplink Control Channel).

[0107] As one example, the first node is a user equipment; and the first physical layer channel is a downlink.

[0108] As one sub-example, the first physical layer channel is a PDSCH (Physical Downlink Shared Channel).

[0109] As one sub-example, the first physical layer channel is a PDCCH (Physical Downlink Control Channel).

[0110] As one example, the first bit block and the CRC bits of the first bit block are physical layer bits.

[0111] As one example, the sender on the first physical layer channel is a sender of the first bit block.

[0112] As one example, the sender on the first physical layer channel is a sender of the first bit block and the CRC bits of the first bit block.

[0113] As one example, the first bit block and the CRC bits of the first bit block being carried by the first physical layer channel means that the first bit block and the CRC bits of the first bit block are transmitted through the first physical layer channel.

[0114] As one example, the first bit block and the CRC bits of the first bit block being carried by the first physical layer channel means that the first bit block and the CRC bits of the first bit block are transmitted through the first physical layer channel.

[0115] As one example, the receiving on the first physical layer channel comprises receiving at least the first bit block and the CRC of the first bit block on the first physical layer channel.

[0116] As an embodiment, the receiving on the first physical layer channel refers to receiving physical layer control information on the first physical layer channel, the physical layer control information comprising the first block of bits and the CRC bits of the first block of bits.

[0117] As an embodiment, the receiving on the first physical layer channel refers to receiving physical layer data on the first physical layer channel, the physical layer data comprising the first block of bits and the CRC bits of the first block of bits.

[0118] As an embodiment, the receiving on the first physical layer channel refers to receiving at least one block of bits on the first physical layer channel, the at least one block of bits comprising the first block of bits and the CRC bits of the first block of bits.

[0119] As an embodiment, the receiving on the first physical layer channel refers to receiving at least one transport block on the first physical layer channel, the at least one transport block comprising the first block of bits and the CRC bits of the first block of bits.

[0120] As an embodiment, the receiving on the first physical layer channel refers to receiving at least one CBG (Code Block Group) on the first physical layer channel, the at least one CBG comprising the first block of bits and the CRC bits of the first block of bits.

[0121] As an embodiment, the first physical layer channel is a PDCCH, and the first block of bits comprises one DCI.

[0122] As an embodiment, the first physical layer channel is a PDSCH, and the first block of bits comprises at least one transport block (TB).

[0123] As an embodiment, the first physical layer channel is a PDSCH, and the first block of bits comprises at least one CBG.

[0124] As an embodiment, the first block of bits can be used for reinforcement learning.

[0125] As an embodiment, the first block of bits can be used for training of an AI / ML model.

[0126] As an embodiment, the first block of bits can be used for inference of an AI / ML model.

[0127] As an embodiment, the first block of bits belongs to inference data.

[0128] As one embodiment, the first block of bits is inferred.

[0129] As one embodiment, the first block of bits belongs to training data.

[0130] As one embodiment, the first block of bits is trained.

[0131] As one embodiment, the first block of bits is an input to an AI / ML model.

[0132] As one embodiment, the first block of bits is an output of an AI / ML model.

[0133] As one embodiment, the first block of bits is scrambled.

[0134] As one embodiment, the first block of bits is unscrambled.

[0135] As one embodiment, the first block of bits is pre-scrambled.

[0136] As one embodiment, the first block of bits includes at least one bit.

[0137] As one embodiment, the first block of bits includes a plurality of bits.

[0138] As one embodiment, a number of the CRC bits of the first block of bits is configurable.

[0139] As one embodiment, a number of the CRC bits of the first block of bits is predefined.

[0140] As one embodiment, a number of the CRC bits of the first block of bits is fixed.

[0141] As one embodiment, the CRC bits of the first block of bits consist of a positive integer number of bits.

[0142] As one embodiment, the CRC bits of the first block of bits consist of 24 bits.

[0143] As one embodiment, the CRC bits of the first block of bits consist of 16 bits.

[0144] As one embodiment, some of the CRC bits of the first block of bits are scrambled and the rest are unscrambled, the scrambled some and the unscrambled rest both being transmitted on the first physical layer channel.

[0145] As an embodiment, part of the CRC bits of the first block of bits are scrambled and the rest of the CRC bits of the first block of bits are not scrambled, the part of the CRC bits scrambled and the rest of the CRC bits not scrambled are both carried by the first signaling.

[0146] For example, the part of the CRC bits of the first block of bits is 16 bits, the rest of the CRC bits of the first block of bits is 8 bits, and RNTI is used for scrambling.

[0147] As an embodiment, the CRC bits of the first block of bits are output of the first block of bits by a CRC cyclic generator polynomial.

[0148] As an embodiment, a polynomial formed by the first block of bits and the CRC bits of the first block of bits is divisible by the CRC cyclic generator polynomial on GF(2), i.e. the remainder of the polynomial formed by the first block of bits and the CRC bits of the first block of bits divided by the CRC cyclic generator polynomial is zero.

[0149] As an embodiment, the CRC bits of the first block of bits are output of the first block of bits by a CRC cyclic generator polynomial and then scrambled. A polynomial formed by the first block of bits and the CRC bits of the first block of bits after descrambling is divisible by the CRC cyclic generator polynomial on GF(2), i.e. the remainder of the polynomial formed by the first block of bits and the CRC bits of the first block of bits after descrambling divided by the CRC cyclic generator polynomial is zero.

[0150] Generally, CRC bits are composed of multiple binary bits, for example, 16, 24, or 8, etc. In addition to being used as a whole as in the above embodiments, they can also be used separately. For example, part of the CRC bits are used for pruning operation in decoding, and part of the CRC bits are used for checking operation.

[0151] In addition, part of the CRC bits can also be used in the decoding process to check whether the decoded information bits are correct, and if not, the decoding operation is terminated in advance to reduce power consumption or complexity. Such decoding algorithms often require interleaving of CRC bits and information bits, such as distributed CRC in NR.

[0152] As an embodiment, the receiver of the first signaling is the sender on the first physical layer channel.

[0153] As an embodiment, the receiver of the first signaling is not the sender on the first physical layer channel.

[0154] As one embodiment, the first signaling is transmitted through a shared channel.

[0155] As one embodiment, the first signaling is transmitted through a DL-SCH (Downlink-Shared Channel).

[0156] As one embodiment, the first signaling is transmitted through a UL-SCH (Uplink-Shared Channel).

[0157] As one embodiment, the first signaling is transmitted through a DTCH (Dedicated Traffic Channel).

[0158] As one embodiment, the first signaling is transmitted through a control channel.

[0159] As one embodiment, the first signaling is transmitted through a DCCH (Dedicated Control Channel).

[0160] As one embodiment, the first signaling is an AS signaling of a higher layer.

[0161] As one embodiment, the higher layer is an RRC (Radio Resource Control) sublayer.

[0162] As one embodiment, the first signaling is an RRC message.

[0163] As one embodiment, the first signaling is a UEAssistanceInformation message.

[0164] As one embodiment, the first signaling is a MCGFailureInformation message.

[0165] As one embodiment, the first signaling is a MeasurementReport message.

[0166] As one embodiment, the first signaling is a UEInformationResponse message.

[0167] As one embodiment, the first signaling includes at least one RRC IE (Information Element).

[0168] As an embodiment, the first signaling comprises at least one RRC field.

[0169] As an embodiment, the higher layer is a PDCP (Packet Data Convergence Protocol) sublayer.

[0170] As an embodiment, the higher layer is a RLC (Radio Link Control) sublayer.

[0171] As an embodiment, the higher layer is a MAC (Medium Access Control) sublayer.

[0172] As an embodiment, the first signaling is a MAC subPDU.

[0173] As an embodiment, the first signaling is a MAC CE.

[0174] As an embodiment, the higher layer is a protocol layer other than the RRC sublayer, the PDCP sublayer, the RLC sublayer, the MAC sublayer.

[0175] As an embodiment, the first signaling is a NAS signaling.

[0176] As an embodiment, the NAS signaling is transmitted through a RB (Radio Bearer).

[0177] As an embodiment, the RB is a SRB (Signaling Radio Bearer).

[0178] As an embodiment, the RB is a DRB (Data Radio Bearer).

[0179] As an embodiment, the RB is an AI / ML dedicated RB.

[0180] As an embodiment, the AI / ML dedicated RB can be referred to as ARB or AIRB or MLRB.

[0181] As an embodiment, the AI / ML dedicated RB is configured to an AI / ML dedicated logical channel.

[0182] As an embodiment, the AI / ML dedicated RB carries AI / ML data.

[0183] As an embodiment, the RB dedicated for AI / ML carries signaling of AI / ML.

[0184] As an embodiment, the NAS signaling is a signaling of an AI-plane.

[0185] As an embodiment, the generation of the CRC bits of the first bit block refers to 3GPP TS 38.212.

[0186] As an embodiment, the first signaling includes a field, and the field includes the CRC bits of the first bit block.

[0187] As an embodiment, the first signaling includes a field, and the field is set as the CRC bits of the first bit block.

[0188] As an embodiment, the first signaling includes a field, and the field is set as a hexadecimal form of the CRC bits of the first bit block.

[0189] As an embodiment, the first signaling includes a field, and a size of the field is variable.

[0190] As an embodiment, the first signaling includes a field, and a size of the field depends on a size of the CRC bits of the first bit block.

[0191] As an embodiment, the first signaling includes a field, and a size of the field is the same as a size of the CRC bits of the first bit block.

[0192] As an embodiment, the first signaling includes a field, and the field includes the first bit block and the CRC bits of the first bit block.

[0193] How the first node 100 obtains the first bit block can be determined by the device manufacturer itself or by using AI / ML inference. Some non-limiting embodiments are introduced below.

[0194] As an embodiment, the first node inputs the correctly received at least one bit block into an AI / ML model, and obtains the first bit block through inference of the AI / ML model.

[0195] As an embodiment, the first node inputs the correctly received at least one bit block into an AI / ML model, and obtains a plurality of candidates through inference of the AI / ML model, and selects the first bit block from the plurality of candidates by using the CRC bits of the first bit block.

[0196] Optionally, in the above two embodiments, the first bit block also corresponds to the bit block or bit soft information that is not correctly received, which can also be input into the AI / ML model.

[0197] In addition to the AI / ML algorithm, the first node 100 can also utilize a traditional digital signal processing algorithm, for example, retaining multiple decoding output bit blocks as candidates of the first bit block in the decoding process, and then selecting the first bit block from the multiple candidates using the CRC bits of the first bit block.

[0198] Embodiment 2

[0199] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG. 2.

[0200] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture for future continued evolution of 3GPP; the network architecture 200 can be referred to as a 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as a 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, a 3GPP-type cellular network. The RAN includes a node 203 and other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides access to the core network 210 for the UE 201. Examples of UEs 201 include a cellular phone, a smart phone, a session initiation protocol (SIP) phone, a laptop, a personal digital assistant (PDA), a satellite radio, a non-tower based station communication, a satellite mobile communication, a global positioning system, a multimedia device, a video device, a digital audio player (e.g., MP3 player), a camera, a game console, a drone, a flying vehicle, a narrowband internet of things device, a machine type communication device, a land vehicle, an automobile, a wearable device, or any other similar functional device.A person of skill in the art would further also be aware that the UE 201 can be referred to as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or by some other suitable terminology. The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and a packet switched service, in particular.

[0201] As one embodiment, the first node comprises the UE 201.

[0202] As one embodiment, the first node comprises the node 203.

[0203] As one embodiment, the second node comprises the UE 201.

[0204] As one embodiment, the second node belongs to the RAN 202.

[0205] As one embodiment, the second node comprises the node 203.

[0206] As one embodiment, the third node belongs to the core network 210.

[0207] As one embodiment, the third node comprises the node 211.

[0208] As one embodiment, the first node comprises the UE 201 and the second node comprises the node 203.

[0209] As one embodiment, the first node comprises the UE 201 and the second node belongs to the RAN 202.

[0210] As one embodiment, the first node comprises the node 203 and the second node comprises the UE 201.

[0211] As one embodiment, the first node belongs to the RAN 202 and the second node comprises the UE 201.

[0212] As one embodiment, the first node comprises the UE 201, the second node comprises the node 203, and the third node comprises the node 211.

[0213] As one embodiment, the first node comprises the node 203, the second node comprises the UE 201, and the third node comprises the node 211.

[0214] As one embodiment, the first node comprises the UE 201, the second node belongs to the RAN 202, and the third node belongs to the core network 210.

[0215] As one embodiment, the first node belongs to the RAN 202, the second node comprises the UE 201, and the third node belongs to the core network 210.

[0216] As one embodiment, the node 211 is a core network device.

[0217] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular link.

[0218] As one embodiment, the wireless link between the node 203 and the node 211 comprises a backhaul link.

[0219] As one embodiment, the core network device is a NAS node.

[0220] As one embodiment, the core network device comprises an intelligent function, the intelligent function comprising at least one of training or inference.

[0221] As one embodiment, the core network device includes an intelligence module.

[0222] As one embodiment, the core network device processes an AI / ML model.

[0223] Embodiment 3

[0224] Figure 3 is a diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and the control plane 300. Figure 3 shows three layers for the radio protocol architecture for the control plane 300: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering / de-ciphering, and header compression / de-compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and using RRC signaling to configure the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead. Also included in the L2 layer 355 in the user plane 350 is the SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support diverse service

[0225] As an embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node in the present application.

[0226] As an embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node in the present application.

[0227] As an embodiment, the first block of bits and the CRC bits of the first block of bits in the present application are generated at the PHY 301 or the PHY 351.

[0228] As an embodiment, the first signaling in the present application is generated at the NAS sublayer.

[0229] As an embodiment, the first signaling in the present application is generated at the AI / ML sublayer.

[0230] As an embodiment, the first signaling in the present application is generated at the RRC 306.

[0231] As an embodiment, the first signaling in the present application is generated at the MAC 302 or the MAC 352.

[0232] As an embodiment, the second signaling in the present application is generated at the NAS sublayer.

[0233] As an embodiment, the second signaling in the present application is generated at the AI / ML sublayer.

[0234] As an embodiment, the second signaling in the present application is generated at the RRC 306.

[0235] As an embodiment, the second signaling in the present application is generated at the MAC 302 or the MAC 352.

[0236] As an embodiment, the NAS sublayer is above the RRC 306 (not shown in FIG. 3).

[0237] As an embodiment, the NAS sublayer is above the RRC 306 (not shown in FIG. 3).

[0238] As an embodiment, the AI / ML sublayer is above the RRC 306 (not shown in FIG. 3).

[0239] As an embodiment, the AI / ML sublayer is above the RRC 306 (not shown in FIG. 3).

[0240] As an embodiment, the AI / ML sublayer is used to transmit data of AI / ML functions.

[0241] As one embodiment, the AI / ML sublayer is used to transport control signaling for AI / ML functions.

[0242] As one embodiment, the present application does not limit the name of the AI / ML sublayer.

[0243] Embodiment 4

[0244] Embodiment 4 shows a schematic diagram of a first communication device and a second communication device according to the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in an access network.

[0245] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and antennas 452.

[0246] The second communication device 410 includes a controller / processor 475, a memory 476, a receive processor 470, a transmit processor 416, a multi-antenna receive processor 472, a multi-antenna transmit processor 471, a transmitter / receiver 418, and antennas 420.

[0247] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper layer packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for retransmission of lost packets, and signaling to the first communication device 450. The transmit processor 416 and the multiple antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, and mapping of coded bits to modulation symbols based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multiple antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, to generate one or more spatial streams. The transmit processor 416 then maps to each spatial stream to the subcarriers, multiplexes with reference signals (e.g., pilots) in the time and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate a time-domain multicarrier symbol stream for the physical channel. The multiple antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multiple antenna transmit processor 471 into a radio frequency stream, and then provides the radio frequency stream to the corresponding antenna 420.

[0248] In transmissions from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and provides the recovered information at baseband as a stream of symbols to a receive processor 456. The receive processor 456 and a multiple access receiver processor 458 implement various signal processing functions of the Ll layer. The multiple access receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multiple access symbol streams from the receivers 454. The receive processor 456 converts the baseband multiple access symbol streams from the time-domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed from the received symbol streams, with the reference signals to be used for channel estimation and the data signals to be recovered after multiple access detection in the multiple access receiver processor 458 for any spatial streams destined for the first communication device 450. The symbols on each spatial stream are demodulated and recovered by the receive processor 456 and used to generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 410 on the physical channel. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In transmissions from the second communication device 410 to the first communication device 450, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing.

[0249] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, a data source 467 is used to provide upper layer data packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for error detection, retransmission of lost packets, and signaling to the second communication device 410. A transmit processor 468 performs modulation mapping, channel coding processing, and a multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 modulates the resulting spatial streams into multi-carrier / single-carrier symbol streams, which are then provided to different antennas 452 via transmitters 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency signal, and then provides the radio frequency signal to the antenna 452.

[0250] In the transmission from the first communication device 450 to the second communication device 410, the functions at the second communication device 410 are similar to the receive functions at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives a radio frequency signal through its respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 collectively implement the functionality of the L1 layer. A controller / processor 475 implements the functionality of the L2 layer. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the UE 450. Upper layer data packets from the controller / processor 475 can be provided to a core network.

[0251] As an embodiment, the first communication device 450 corresponds to the first node in the present application; the first communication device 450 comprises at least one processor and at least one memory including computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 450 at least to: receive on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; send first signaling; wherein the first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0252] As an embodiment, the first communication device 450 comprises a memory storing a computer readable program of instructions which, when executed by at least one processor, causes actions comprising: receiving on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; sending first signaling; wherein the first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0253] As an embodiment, the second communication device 410 comprises at least one processor and at least one memory including computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the second communication device 410 at least to: send on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; receive first signaling; wherein the first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0254] As an embodiment, the second communication device 410 corresponds to a second node in the present application; the second communication device 410 comprises: a memory storing a computer readable program, the computer readable program produces actions when executed by at least one processor, the actions comprise: sending on a first physical layer channel; wherein a first bit block and a CRC bit of the first bit block are carried by the first physical layer channel; receiving first signaling; wherein the first signaling is an AS signaling of a higher layer, or, the first signaling is a NAS signaling; the CRC bit of the first bit block is generated at a physical layer, and the first signaling comprises at least the CRC bit of the first bit block.

[0255] As an embodiment, the third communication device 490 corresponds to a third node in the present application; the second communication device 410 comprises: at least one processor and at least one memory, the at least one memory comprises computer program code; the at least one memory and the computer program code are configured to work with the at least one processor. The second communication device 410 at least: receives first signaling; wherein a sender of the first signaling receives on a first physical layer channel; wherein a first bit block and a CRC bit of the first bit block are carried by the first physical layer channel; wherein the first signaling is a NAS signaling; the CRC bit of the first bit block is generated at a physical layer, and the first signaling comprises at least the CRC bit of the first bit block.

[0256] As an embodiment, the third communication device 490 corresponds to a third node in the present application; the second communication device 410 comprises: a memory storing a computer readable program, the computer readable program produces actions when executed by at least one processor, the actions comprise: receiving first signaling; wherein a sender of the first signaling receives on a first physical layer channel; wherein a first bit block and a CRC bit of the first bit block are carried by the first physical layer channel; wherein the first signaling is a NAS signaling; the CRC bit of the first bit block is generated at a physical layer, and the first signaling comprises at least the CRC bit of the first bit block.

[0257] As an embodiment, at least one of the antenna 452, the receiver 454, the receiving processor 456, and the controller / processor 459 is used for receiving on a first physical layer channel.

[0258] As an embodiment, at least one of the antenna 420, the transmitter 418, the transmitting processor 416, and the controller / processor 475 is used for sending on a first physical layer channel.

[0259] As an embodiment, at least one of the antenna 452, the transmitter 454, the transmit processor 468, the controller / processor 459 is configured to transmit the first signaling.

[0260] As an embodiment, at least one of the antenna 420, the receiver 418, the receive processor 470, the controller / processor 475 is configured to receive the first signaling.

[0261] As an embodiment, at least one of the antenna 452, the receiver 454, the receive processor 456, the controller / processor 459 is configured to receive the second signaling.

[0262] As an embodiment, at least one of the antenna 420, the transmitter 418, the transmit processor 416, the controller / processor 475 is configured to transmit the second signaling.

[0263] As an embodiment, the first node in the present application comprises the first communication device 450.

[0264] As an embodiment, the second node in the present application comprises the second communication device 410.

[0265] As an embodiment, the third node in the present application comprises the second communication device 410.

[0266] Embodiment 5

[0267] Embodiment 5 illustrates a flow chart of wireless signal transmission according to an embodiment of the present application, as shown in FIG. 5. It is particularly explained that the sequence in the present example does not limit the sequence of signal transmission and the sequence of implementation in the present application.

[0268] For the first node U01, in step S5101, receiving on a first physical layer channel; wherein a first block of bits and a CRC bit of the first block of bits are carried by the first physical layer channel; in step S5102, transmitting first signaling.

[0269] For the second node N02, in step S5201, transmitting on the first physical layer channel; in step S5202, receiving the first signaling.

[0270] In embodiment 5, the first signaling is higher layer AS signaling; the CRC bit of the first block of bits is generated at a physical layer, and the first signaling comprises at least the CRC bit of the first block of bits.

[0271] As an embodiment, the first node U01 is a user equipment, and the second node N02 is a base station device.

[0272] As one embodiment, the first node U01 is a base station device, and the second node N02 is a user equipment.

[0273] As one embodiment, the second node N02 generates the first bit block.

[0274] As one embodiment, the second node N02 generates the first bit block and the CRC bits of the first bit block.

[0275] As one embodiment, the second node N02 first generates the first bit block and the CRC bits of the first bit block; then, the second node N02 transmits on the first physical layer channel.

[0276] As one embodiment, the second node N02 comprises at least one module in the AI / ML model in the attached FIG. 16.

[0277] As one embodiment, the second node N02 comprises an inference function in the attached FIG. 17.

[0278] As one embodiment, the second node N02 comprises a gNB in the attached FIG. 17.

[0279] As one embodiment, the second node N02 comprises a training function 1702 in the attached FIG. 17.

[0280] As one embodiment, the second node N02 comprises a management function 1703 in the attached FIG. 17.

[0281] As one embodiment, the above method is beneficial for reinforcement learning of the second node N02.

[0282] As one embodiment, the above method is beneficial for the second node N02 to train or infer AI / ML models.

[0283] As one embodiment, the above method is beneficial for the second node N02 to optimize AI / ML models.

[0284] As a non-limiting example, the second node N02 first generates at least one of the first bit block and the CRC bits of the first bit block based on an AI / ML model; then, the second node N02 transmits on the first physical layer channel; then, the first node U01 receives on the first physical layer channel; then, the first node U01 transmits the first signaling; then, the second node N02 receives the first signaling; then, the second node N02 performs reinforcement learning and / or training and / or inference of the AI / ML model with the data identified by the CRC bits of the first bit block included in the first signaling.

[0285] Embodiment 6

[0286] Embodiment 6 illustrates a wireless signal transmission flow chart according to another embodiment of the present application, as shown in FIG. 6. It is particularly noted that the sequence in this example does not limit the sequence of signal transmission and implementation in the present application.

[0287] For the first node U01, in step S6101, receiving on the first physical layer channel; wherein the first bit block and the CRC bits of the first bit block are carried by the first physical layer channel; in step S6102, transmitting the first signaling.

[0288] For the second node N02, in step S6201, transmitting on the first physical layer channel; in step S6202, receiving the first signaling; in step S6202, transmitting the first signaling.

[0289] For the third node N03, in step S6301, receiving the first signaling.

[0290] In embodiment 6, the first signaling is an AS signaling of a higher layer; the CRC bits of the first bit block are generated at the physical layer, and the first signaling includes at least the CRC bits of the first bit block.

[0291] As an example, after the second node N02 receives the first signaling, it forwards the first signaling to the third node N03.

[0292] As an example, the second node N02 forwards the first signaling to the third node N03 through an S1 interface.

[0293] As an example, the second node N02 forwards the first signaling to the third node N03 through a wired interface.

[0294] As an example, the second node N02 forwards the first signaling to the third node N03 through a wireless interface.

[0295] As an embodiment, the second node N02 encapsulates the first signaling in a container and sends the container to the third node N03.

[0296] As an embodiment, the first node U01 is a user equipment, the second node N02 is a base station equipment, and the third node N03 is a core network equipment.

[0297] As an embodiment, the first node U01 is a base station equipment, the second node N02 is a user equipment, and the third node N03 is a core network equipment.

[0298] As an embodiment, the second node N02 generates the first bit block.

[0299] As an embodiment, the second node N02 generates the first bit block and the CRC bits of the first bit block.

[0300] As an embodiment, the third node N03 generates the first bit block.

[0301] As a sub-embodiment, the third node N03 first sends the first bit block to the second node N02 (not shown in FIG. 6); then, the second node N02 sends on the first physical layer channel.

[0302] As an embodiment, the third node N03 generates the first bit block and the CRC bits of the first bit block.

[0303] As a sub-embodiment, the third node N03 first sends the first bit block and the CRC bits of the first bit block to the second node N02 (not shown in FIG. 6); then, the second node N02 sends on the first physical layer channel.

[0304] As an embodiment, the third node N03 comprises at least one module in the AI / ML model in FIG. 16.

[0305] As an embodiment, the third node N03 comprises an inference function in FIG. 17.

[0306] As an embodiment, the third node N03 comprises a gNB in FIG. 17.

[0307] As an embodiment, the third node N03 comprises a training function 1702 in FIG. 17.

[0308] As an embodiment, the third node N03 comprises a management function 1703 in FIG. 17.

[0309] As one embodiment, the above method is beneficial for reinforcement learning of the third node N03.

[0310] As one embodiment, the above method is beneficial for training or inference of AI / ML model by the third node N03.

[0311] As one embodiment, the above method is beneficial for optimization of AI / ML model by the third node N03.

[0312] As one non-limiting embodiment, the third node N03 generates at least one of the first bit block and the CRC bits of the first bit block based on AI / ML model; then, the third node N03 sends the first bit block and the CRC bits of the first bit block to the second node N02; then, the second node N02 sends on the first physical layer channel; then, the first node U01 receives on the first physical layer channel; then, the first node U01 sends first signaling; then, the second node N02 receives the first signaling; then, the second node N02 forwards the first signaling to the third node N03; then, the third node N03 uses information included in the first signaling and data identified by the CRC bits of the first bit block to perform reinforcement learning and / or training and / or inference of AI / ML model.

[0313] Embodiment 7

[0314] Embodiment 7 illustrates a wireless signal transmission flowchart according to yet another embodiment of the present application, as shown in FIG. 7. It is particularly stated that the sequence in this example does not limit the sequence of signal transmission and implementation in the present application.

[0315] For the first node U01, in step S7101, receiving on the first physical layer channel; wherein the first bit block and the CRC bits of the first bit block are carried by the first physical layer channel; in step S7102, sending first signaling.

[0316] For the second node N02, in step S7201, sending on the first physical layer channel.

[0317] For the third node N03, in step S7301, receiving the first signaling.

[0318] In embodiment 7, the first signaling is NAS signaling; the CRC bits of the first bit block are generated at the physical layer, and the first signaling includes at least the CRC bits of the first bit block.

[0319] As an embodiment, the first node U01 is a user equipment, the second node N02 is a base station equipment, and the third node N03 is a core network equipment.

[0320] As an embodiment, the first node U01 is a base station equipment, the second node N02 is a user equipment, and the third node N03 is a core network equipment.

[0321] As an embodiment, the second node N02 generates the first bit block.

[0322] As an embodiment, the second node N02 generates the first bit block and the CRC bits of the first bit block.

[0323] As an embodiment, the third node N03 generates the first bit block.

[0324] As a sub-embodiment, the third node N03 first sends the first bit block to the second node N02 (not shown in FIG. 6); then, the second node N02 sends on the first physical layer channel.

[0325] As an embodiment, the third node N03 generates the first bit block and the CRC bits of the first bit block.

[0326] As a sub-embodiment, the third node N03 first sends the first bit block and the CRC bits of the first bit block to the second node N02 (not shown in FIG. 6); then, the second node N02 sends on the first physical layer channel.

[0327] As an embodiment, the third node N03 includes at least one module in the AI / ML model in FIG. 16.

[0328] As an embodiment, the third node N03 includes an inference function in FIG. 17.

[0329] As an embodiment, the third node N03 includes a gNB in FIG. 17.

[0330] As an embodiment, the third node N03 includes a training function 1702 in FIG. 17.

[0331] As an embodiment, the third node N03 includes a management function 1703 in FIG. 17.

[0332] As an embodiment, the above method is beneficial to reinforcement learning of the third node N03.

[0333] As one embodiment, the above method is beneficial for the third node N03 to train or infer the AI / ML model.

[0334] As one embodiment, the above method is beneficial for the third node N03 to optimize the AI / ML model.

[0335] As one non-limiting embodiment, the third node N03 generates at least one of the first bit block and the CRC bits of the first bit block based on the AI / ML model; then, the third node N03 sends the first bit block and the CRC bits of the first bit block to the second node N02; then, the second node N02 sends on the first physical layer channel; then, the first node U01 receives on the first physical layer channel; then, the first node U01 sends the first signaling; then, the third node N03 receives the first signaling; then, the third node N03 performs reinforcement learning and / or training and / or inference on the AI / ML model using the information included in the first signaling and the data identified by the CRC bits of the first bit block.

[0336] Embodiment 8

[0337] Embodiment 8 illustrates a wireless signal transmission flowchart according to still another embodiment of the present application, as shown in FIG. 8. It is particularly pointed out that the sequence in this example does not limit the sequence of signal transmission and the sequence of implementation in the present application.

[0338] For the first node U01, in step S8101, the second signaling is received; in step S8102, the first signaling is sent.

[0339] For the second node N02, in step S8201, the second signaling is sent.

[0340] For the third node N03, in step S8301, the second signaling is sent.

[0341] In embodiment 8, the first signaling is triggered by the second signaling.

[0342] As one embodiment, the first signaling is a UEInformationResponse message; the second signaling is a UEInformationRequest message.

[0343] As one embodiment, the first signaling and the second signaling are both higher layer AS signaling.

[0344] As one embodiment, the first signaling and the second signaling are both NAS signaling.

[0345] As one embodiment, the first signaling being triggered by the second signaling means that the second signaling indicates sending the first signaling.

[0346] As one embodiment, the first signaling being triggered by the second signaling means that the second signaling schedules the first signaling.

[0347] As one embodiment, the first signaling being triggered by the second signaling means that the second signaling requests the first signaling.

[0348] As one embodiment, the first signaling being triggered by the second signaling means that a specified field in the second signaling indicates sending the first signaling.

[0349] As one embodiment, the first signaling being triggered by the second signaling means that a specified field in the second signaling is set to indicate sending the first signaling.

[0350] As one embodiment, the name of the specified field comprises req.

[0351] As one embodiment, the name of the specified field comprises request.

[0352] As one embodiment, the value of the specified field is true.

[0353] As one embodiment, the candidate of the value of the specified field comprises true and false.

[0354] As one embodiment, the first signaling is sent as a response to the second signaling being received.

[0355] As one embodiment, the first signaling is sent when the second signaling is received.

[0356] As one embodiment, the first signaling is sent as a response to the second signaling being received, if the second signaling comprises a specified field.

[0357] As one embodiment, the first signaling is sent as a response to the second signaling being received, if the second signaling comprises a specified field and the specified field is set to a specified value.

[0358] As one embodiment, the first node U01 sets the CRC bits of the first bit block in the first signaling before the first node U01 sends the first signaling.

[0359] Embodiment 9

[0360] Embodiment 9 illustrates a flowchart of setting of a first variable according to an embodiment of the present application, as shown in FIG. 9. It is particularly explained that the sequence in this example does not limit the sequence of signal transmission and implementation in the present application.

[0361] For the first node U01, in step S9101, receiving on a first physical layer channel; in step S9102, in response to said receiving on a first physical layer channel, setting said CRC bits of said at least said first block of bits in a first variable; in step S9103, receiving second signaling; in step S9104, in response to said receiving of second signaling, setting said first signaling.

[0362] In embodiment 9, said setting said first signaling comprises setting said CRC bits of said at least said first block of bits in said first variable in said first signaling.

[0363] As an embodiment, said first variable is used to store information related to an AI / ML model.

[0364] As an embodiment, said first variable is a UE variable.

[0365] As an embodiment, said first variable has a storage function.

[0366] As an embodiment, said first variable is implemented by software.

[0367] As an embodiment, said first variable is implemented by hardware.

[0368] As an embodiment, said first variable is maintained in NAS.

[0369] As an embodiment, said first variable is maintained in AS.

[0370] As an embodiment, said first variable is maintained in RRC sublayer.

[0371] As an embodiment, said setting said CRC bits of said at least said first block of bits in said first variable is in response to said receiving said CRC bits of said at least said first block of bits on said first physical layer channel.

[0372] As an embodiment, said setting said CRC bits of said at least said first block of bits in said first variable is in response to said receiving said CRC bits of said at least said first block of bits on said first physical layer channel.

[0373] As one embodiment, the first signaling is triggered by a first event.

[0374] Embodiment 10

[0375] Embodiment 10 illustrates a diagram of the first signaling being triggered by a first event according to one embodiment of the present application, as shown in FIG. 10.

[0376] In embodiment 10, the first signaling is triggered by a first event, and the first event depends on the first bit block.

[0377] As one embodiment, the first signaling is sent when the first event occurs.

[0378] As one embodiment, the first signaling is sent in response to the occurrence of the first event.

[0379] As one embodiment, the first signaling is sent in response to the occurrence of the first event.

[0380] As one embodiment, the first event depending on the first bit block means that the first bit block is a DCI (Downlink Control Information), and part of the bits in the first bit block is used to trigger the first signaling.

[0381] As one sub-embodiment, the first event includes part of the bits in the first bit block indicating that the first signaling is sent.

[0382] As one sub-embodiment, the first event includes part of the bits in the first bit block being set to a target value indicating that the first signaling is sent.

[0383] As one sub-embodiment, the number of the part of the bits in the first bit block is fixed.

[0384] As one sub-embodiment, the number of the part of the bits in the first bit block is variable.

[0385] As one sub-embodiment, the target value is all 1.

[0386] As one sub-embodiment, the target value is all 0.

[0387] As an embodiment, the first event depending on the first bit block means that the first event depends on a comparison between the first bit block and a bit block generated by the first node itself.

[0388] As an embodiment, the first signaling comprises the bit block generated by the first node itself.

[0389] As an embodiment, the first event comprises at least one different bit between the first bit block and a bit block generated by the first node itself.

[0390] As an embodiment, the first event comprises at least K1 different bits between the first bit block and a bit block generated by the first node itself; the K1 is a positive integer.

[0391] As an embodiment, the first event comprises a length difference between the first bit block and a bit block generated by the first node itself.

[0392] As an embodiment, the first event comprises at least one same bit between the first bit block and a bit block generated by the first node itself.

[0393] As an embodiment, the first event comprises at least K1 same bits between the first bit block and a bit block generated by the first node itself; the K1 is a positive integer.

[0394] As an embodiment, the first event comprises a length difference between the first bit block and a bit block generated by the first node itself.

[0395] As an embodiment, the first event depending on the first bit block means that the first bit block is a DCI, and the first event depends on a comparison between scheduling information comprised in the DCI and scheduling parameters determined by the first node itself.

[0396] As an embodiment, the first event comprises a difference between the scheduling information comprised in the DCI and the scheduling parameters determined by the first node itself.

[0397] As an embodiment, the first event comprises at least one different parameter between the scheduling information comprised in the DCI and the scheduling parameters determined by the first node itself.

[0398] As an embodiment, the first event comprises a difference between the scheduling information comprised in the DCI and the scheduling parameters determined by the first node itself.

[0399] As one sub-example, the first event comprises that the scheduling parameters indicated by the scheduling information comprised in the one DCI are same as the scheduling parameters determined by the first node itself.

[0400] As one sub-example, the first event comprises that there are at least one same parameter between the scheduling parameters indicated by the scheduling information comprised in the one DCI and the scheduling parameters determined by the first node itself.

[0401] As one sub-example, the first event comprises that the difference between the scheduling parameters indicated by the scheduling information comprised in the one DCI and the scheduling parameters determined by the first node itself does not exceed a threshold.

[0402] As one sub-example, the scheduling parameter is a power control parameter.

[0403] As one sub-example, the scheduling parameter is a time domain resource allocation parameter.

[0404] As one sub-example, the scheduling parameter is a frequency domain resource allocation parameter.

[0405] As one sub-example, the scheduling parameter is a redundancy version (RV).

[0406] As one sub-example, the scheduling parameter is a modulation and coding scheme (MCS).

[0407] As one sub-example, the scheduling parameter is a transmit power control (TPC).

[0408] As one sub-example, the scheduling parameter comprises at least one of a power control parameter or a time domain resource allocation parameter or a frequency domain resource allocation parameter or a RV or a MCS or a TPC.

[0409] As one example, the first event depending on the first bit block means that the first bit block comprises at least one transport block, and the first event depending on the comparison result between the at least one transport block and the bit block determined by the first node itself.

[0410] As one sub-example, the first event comprises that at least one of the at least one transport block is different from the comparison result between the bit block determined by the first node itself.

[0411] As a sub-example, the first event comprises a comparison result of at least one of the at least one transport block and the first node self-determined bit block being the same.

[0412] Embodiment 11

[0413] Embodiment 11 illustrates a diagram of the first signaling comprising the first identity according to one embodiment of the present application, as shown in FIG. 11.

[0414] In embodiment 11, the first signaling comprises the first identity, and the first identity indicates the first node; or the first signaling comprises at least part of bits in the first bit block.

[0415] As an embodiment, the first signaling comprises the first identity, and the first identity indicates the first node.

[0416] As an embodiment, the first identity indicating the first node means that the first identity is an identity of the first node in a RAN.

[0417] As an embodiment, the first identity indicating the first node means that the first identity is a C-RNTI of the first node.

[0418] As an embodiment, the first identity indicating the first node means that the first identity is an identity of the first node in a core network.

[0419] As an embodiment, the first identity indicating the first node means that the first identity is a SUPI (SUbscription Permanent Identifier) of the first node.

[0420] As an embodiment, the first identity indicating the first node means that the first identity is a PEI (Paging Early Indication) of the first node.

[0421] As an embodiment, the first identity indicating the first node means that the first identity is a GUTI (Globally Unique Temporary Identifier) of the first node.

[0422] As an embodiment, the first signaling comprises at least part of bits in the first bit block.

[0423] As an embodiment, the at least part of bits in the first bit block means all bits in the first bit block.

[0424] As one embodiment, the at least some bits in the first block of bits refer to only some bits in the first block of bits.

[0425] As one embodiment, the at least some bits in the first block of bits are contiguous in the first block of bits.

[0426] As one embodiment, the at least some bits in the first block of bits are non-contiguous in the first block of bits.

[0427] As one embodiment, the at least some bits in the first block of bits include at least the most significant bits of the first block of bits.

[0428] As one embodiment, the at least some bits in the first block of bits include at least the least significant bits of the first block of bits.

[0429] As one embodiment, the position of the at least some bits in the first block of bits in the first block of bits is predefined.

[0430] As one embodiment, the position of the at least some bits in the first block of bits in the first block of bits is indicated.

[0431] As one embodiment, the position of the at least some bits in the first block of bits in the first block of bits is configured.

[0432] As one embodiment, the number of the at least some bits in the first block of bits is predefined.

[0433] As one embodiment, the number of the at least some bits in the first block of bits is indicated.

[0434] As one embodiment, the number of the at least some bits in the first block of bits is configured.

[0435] As one embodiment, at least two of the at least some bits in the first block of bits are contiguous in the first block of bits.

[0436] As one embodiment, any two of the at least some bits in the first block of bits are non-contiguous in the first block of bits.

[0437] As one embodiment, the at least some bits in the first block of bits identify the first block of bits.

[0438] As one embodiment, the at least some bits in the first block of bits carry content in the first block of bits.

[0439] As an embodiment,

[0440] Embodiment 12

[0441] Embodiment 12 illustrates a schematic diagram of the first signaling including information of the first physical layer channel according to an embodiment of the present application, as shown in FIG. 12.

[0442] In embodiment 12, the first signaling includes the information of the first physical layer channel.

[0443] As an embodiment, the information of the first physical layer channel is a demodulation parameter of the first physical layer channel.

[0444] As an embodiment, the information of the first physical layer channel is an index of a RS sequence of a DMRS (Demodulation Reference Signal) of the first physical layer channel.

[0445] As an embodiment, the information of the first physical layer channel is a RS sequence of a DMRS of the first physical layer channel.

[0446] As an embodiment, the information of the first physical layer channel is a power control parameter of the first physical layer channel.

[0447] As an embodiment, the information of the first physical layer channel is a spatial parameter of the first physical layer channel.

[0448] As an embodiment, the spatial parameter of the first physical layer channel is an index of the first reference signal resource; the spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0449] As an embodiment, the information of the first physical layer channel is a scrambling parameter of the first physical layer channel.

[0450] As an embodiment, the information of the first physical layer channel is a codebook parameter of the first physical layer channel.

[0451] As an embodiment, the information of the first physical layer channel is a precoding parameter of the first physical layer channel.

[0452] Embodiment 13

[0453] Embodiment 13 illustrates a schematic diagram of the first signaling including a second identity according to an embodiment of the present application, as shown in FIG. 13.

[0454] In embodiment 13, the first signaling includes a second identity, the second identity indicating a first AI / ML model, an output of the first AI / ML model including at least one of the first bit block or the CRC bits of the first bit block.

[0455] As one embodiment, the first node receives the second identity before the first signaling is sent.

[0456] As one embodiment, the second identity is configured to the first AI / ML model.

[0457] As one embodiment, the second identity is assigned to the first AI / ML model.

[0458] As one embodiment, the second identity is indexed to the first AI / ML model.

[0459] As one embodiment, the second identity includes a positive integer.

[0460] As one embodiment, the second identity includes a non-negative integer.

[0461] As one embodiment, the second identity includes a string.

[0462] As one embodiment, the second identity includes a region identity.

[0463] As one embodiment, the second identity includes a region identity and a non-negative integer; the non-negative integer indicating the first AI / ML model within a range indicated by the region identity.

[0464] As one embodiment, the second identity includes a region identity and a type identity; the non-negative integer indicating the first AI / ML model within a range indicated by the region identity.

[0465] As one embodiment, the output of the first AI / ML model includes only one of the first bit block or the CRC bits of the first bit block.

[0466] As one embodiment, the output of the first AI / ML model includes both the first bit block or the CRC bits of the first bit block.

[0467] As one embodiment, the output of the first AI / ML model includes the first bit block.

[0468] As one embodiment, the output of the first AI / ML model includes the CRC bits of the first bit block.

[0469] As an embodiment, the output of the first AI / ML model comprises the first bit block and the CRC bits of the first bit block.

[0470] As an embodiment, the first AI / ML model is trained.

[0471] As an embodiment, the first AI / ML model is trained.

[0472] As an embodiment, the first AI / ML model is an AI / ML model.

[0473] As an embodiment, the first AI / ML model is deployed at the network side.

[0474] As an embodiment, the first AI / ML model is deployed at the UE side.

[0475] As an embodiment, the first AI / ML model is deployed at the network side and the UE side.

[0476] Embodiment 14

[0477] Embodiment 14 illustrates a diagram of the first signaling comprising measurement results for the first reference signal resource according to an embodiment of the present application, as shown in FIG. 14.

[0478] In embodiment 14, the first signaling comprises measurement results for the first reference signal resource, and the spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0479] As an embodiment, the first signaling comprises measurement results for the first reference signal resource when the first bit block is received.

[0480] As an embodiment, the first signaling comprises measurement results for the first reference signal resource when the first bit block is received.

[0481] As an embodiment, the first signaling comprises measurement results for the first reference signal resource when the first bit block is received.

[0482] As an embodiment, the measurement results are L1.

[0483] As an embodiment, the measurement results are L3.

[0484] As an embodiment, the measurement results are filtered.

[0485] As an embodiment, the measurement results are unfiltered.

[0486] As one embodiment, the spatial parameter of the first physical layer channel and the first reference signal resource being quasi co-located means that the spatial parameter of the first physical layer channel and the first reference signal resource are QCLed.

[0487] As one embodiment, the spatial parameter of the first physical layer channel and the first reference signal resource being quasi co-located means that the spatial parameter of the first physical layer channel can be derived from the spatial parameter of the first reference signal resource.

[0488] As one embodiment, the spatial parameter comprises a large scale fading parameter.

[0489] As one embodiment, the spatial parameter comprises a small scale fading parameter.

[0490] As one embodiment, the spatial parameter comprises a Doppler shift parameter.

[0491] As one embodiment, the spatial parameter comprises a delay parameter.

[0492] As one embodiment, the spatial parameter is a spatial filtering parameter.

[0493] As one embodiment, the spatial parameter is a spatial reception parameter.

[0494] As one embodiment, the spatial parameter is a spatial transmission parameter.

[0495] Embodiment 15

[0496] Embodiment 15 illustrates a schematic diagram of a protocol stack architecture according to one embodiment of the present application, as shown in FIG. 15. In the FIG. 15, the first node comprises a NAS sublayer, an RRC sublayer, a PDCP sublayer, an RLC sublayer, a MAC sublayer and a PHY layer; the second node comprises an RRC sublayer, a PDCP sublayer, an RLC sublayer, a MAC sublayer and a PHY layer; the third node comprises a NAS sublayer; wherein the first node comprises an RRC sublayer, a PDCP sublayer, an RLC sublayer, a MAC sublayer and a PHY layer terminated in the second node; the first node comprises a NAS sublayer terminated in the third node.

[0497] As one embodiment, the first physical layer channel is received; wherein the first bit block and the CRC bits of the first bit block are carried by the first physical layer channel; the first bit block and the CRC bits of the first bit block are generated at the PHY layer; the first signaling is transmitted; wherein the first signaling is an AS signaling of a higher layer; the CRC bits of the first bit block are generated at the physical layer, and the first signaling comprises at least the CRC bits of the first bit block.

[0498] As one sub-embodiment, the higher layer is one of the MAC sub-layer or the RLC sub-layer or the PDCP sub-layer or the RRC sub-layer.

[0499] As one sub-embodiment, the AS signaling of the higher layer is generated at the MAC sub-layer of the first node.

[0500] As one sub-embodiment, the AS signaling of the higher layer is generated at the RLC sub-layer of the first node.

[0501] As one sub-embodiment, the AS signaling of the higher layer is generated at the PDCP sub-layer of the first node.

[0502] As one sub-embodiment, the AS signaling of the higher layer is generated at the RRC sub-layer of the first node.

[0503] As one sub-embodiment, the AS signaling of the higher layer is generated at the MAC sub-layer of the second node.

[0504] As one sub-embodiment, the AS signaling of the higher layer is generated at the RLC sub-layer of the second node.

[0505] As one sub-embodiment, the AS signaling of the higher layer is generated at the PDCP sub-layer of the second node.

[0506] As one sub-embodiment, the AS signaling of the higher layer is generated at the RRC sub-layer of the second node.

[0507] As one embodiment, receiving on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; the first block of bits and the CRC bits of the first block of bits are generated at the PHY layer; sending a first signaling; wherein the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at the physical layer, the first signaling comprises at least the CRC bits of the first block of bits.

[0508] As one sub-embodiment, the first block of bits and the CRC bits of the first block of bits are generated at the PHY layer of the first node.

[0509] As one sub-embodiment, the first block of bits and the CRC bits of the first block of bits are generated at the PHY layer of the second node.

[0510] As one sub-embodiment, the NAS signaling is generated at the NAS sub-layer of the first node.

[0511] As a sub-embodiment, the NAS signaling is generated at the NAS sublayer of the third node.

[0512] As an embodiment, the NAS sublayer in the FIG. 15 can be replaced by the AI / ML sublayer, which realizes the similar function of the NAS sublayer; and the NAS signaling can be replaced by the signaling of the AI / ML sublayer, which realizes the similar function of the NAS signaling.

[0513] Embodiment 16

[0514] Embodiment 16 illustrates a schematic diagram of an AI / ML model according to an embodiment of the present application, as shown in FIG. 16. The FIG. 16 includes a first module, a second module, a third module, a fourth module, and a fifth module.

[0515] In the AI / ML model shown in the FIG. 16, the first module sends a first data set to the second module, the first module sends a second data set to the third module, the first module sends a third data set to the fifth module, the fifth module sends a first type of parameter group to the second module, the fifth module sends a second type of parameter group to the third module, the fifth module sends a third type of parameter group to the fourth module, the second module sends a fourth type of parameter group to the fourth module, and the fourth module sends a fifth type of parameter group to the third module.

[0516] As an embodiment, the first module, the second module, the third module, the fourth module, and the fifth module in an AI / ML model all belong to the first node.

[0517] The above method avoids air interface signaling interaction and shortens transmission delay.

[0518] As an embodiment, any one of the first module, the second module, the third module, the fourth module, and the fifth module in an AI / ML model does not belong to the first node.

[0519] The above method reduces the hardware complexity of the first node.

[0520] As an embodiment, at least one of the first module, the second module, the third module, the fourth module, and the fifth module in an AI / ML model belongs to the first node; and at least one of the first module, the second module, the third module, the fourth module, and the fifth module belongs to the network node.

[0521] The above method balances the hardware complexity and transmission delay of the first node.

[0522] As one embodiment, the first module is for data collection.

[0523] As one embodiment, the first module is responsible for data collection.

[0524] As one embodiment, the first module has data collection functionality.

[0525] As one embodiment, the second module has training functionality.

[0526] As one embodiment, the training functionality is for AI / ML model training.

[0527] As one embodiment, the training functionality is responsible for AI / ML model training.

[0528] As one embodiment, the training functionality has AI / ML model training functionality.

[0529] As one embodiment, the training functionality performs AI / ML model training.

[0530] As one embodiment, the second module performs validation.

[0531] As one embodiment, the second module performs testing.

[0532] As one embodiment, the second module generates AI / ML model performance metrics.

[0533] As one embodiment, the second module is responsible for data preparation.

[0534] As one embodiment, the data preparation includes at least one of data pre-processing or cleaning or formatting or transformation.

[0535] As one embodiment, the third module has inference functionality.

[0536] As one embodiment, the inference functionality is for inference.

[0537] As one embodiment, the inference functionality is responsible for inference.

[0538] As an embodiment, the fourth module is for AI / ML model storage.

[0539] As an embodiment, the fourth module has AI / ML model storage functionality.

[0540] As an embodiment, the fourth module is responsible for storing trained AI / ML models.

[0541] As an embodiment, the fourth module is responsible for storing trained AI / ML models that can be used to perform inference processing.

[0542] As an embodiment, the fifth module is for management.

[0543] As an embodiment, the fifth module is responsible for management.

[0544] As an embodiment, the fifth module has management functionality.

[0545] As an embodiment, the fifth module manages AI / ML models.

[0546] As an embodiment, the first dataset is training data.

[0547] As an embodiment, the first dataset is input to the second module.

[0548] As an embodiment, the first dataset includes the first bitblock.

[0549] As an embodiment, the second dataset is inference data.

[0550] As an embodiment, the second dataset is input to the third module.

[0551] As an embodiment, the second dataset includes the first bitblock.

[0552] As an embodiment, the third dataset is monitoring data.

[0553] As an embodiment, the third dataset is input to the fifth module.

[0554] As an embodiment, the third dataset includes the first bitblock.

[0555] As an embodiment, the first set of parameters includes monitoring output.

[0556] As one embodiment, the second type of parameter set includes a management instruction.

[0557] As one embodiment, the second type of parameter set is used for fine-tune operation of an inference function.

[0558] As one embodiment, the second type of parameter set includes an identification of an AI / ML model.

[0559] As one embodiment, the second type of parameter set is used for selecting an AI / ML model.

[0560] As one embodiment, the second type of parameter set is used for switching an AI / ML model.

[0561] As one embodiment, the second type of parameter set is used for activating / deactivating an AI / ML model.

[0562] As one embodiment, the second type of parameter set is used for reverting an AI / ML model.

[0563] As one embodiment, the third type of parameter set includes an AI / ML model transfer request.

[0564] As one embodiment, the third type of parameter set includes an AI / ML model delivery request.

[0565] As one embodiment, the fourth type of parameter set includes a trained AI / ML model.

[0566] As one embodiment, the fourth type of parameter set includes an updated AI / ML model.

[0567] As one embodiment, the fourth type of parameter set indicates an identification of an AI / ML model.

[0568] As one embodiment, the fifth type of parameter set includes an AI / ML model transfer.

[0569] As one embodiment, the fifth type of parameter set includes an AI / ML model delivery.

[0570] As one embodiment, the fifth type of parameter set indicates an identification of an AI / ML model.

[0571] As one embodiment, the first type of output is absent.

[0572] As one embodiment, the first type of output is present.

[0573] As one embodiment, the first type of output comprises the first bit block.

[0574] As one embodiment, the second module sends the first type of output to the fifth module.

[0575] As one embodiment, the first type of output comprises a monitoring output.

[0576] As one embodiment, the second type of output is absent.

[0577] As one embodiment, the second type of output is present.

[0578] As one embodiment, the second type of output comprises the first bit block.

[0579] As one embodiment, the third module sends the second type of output to the fifth module.

[0580] As one embodiment, the second type of output comprises an Inference Output.

[0581] As one embodiment, the second type of output is used by the fifth module to monitor the performance of the AI / ML model.

[0582] As one embodiment, the first data set in the AI / ML model is configured by a network.

[0583] As one embodiment, the first data set in the AI / ML model is determined by the first node.

[0584] As one embodiment, the first data set in the AI / ML model comprises storage data of the first node; the storage data can be from a network, can also be from a log of the first node, and can also be from other RAN nodes.

[0585] As one embodiment, the first data set in the AI / ML model comprises measurement information of the first node; the measurement information can be a mobile state of the first node, such as a moving speed, or a number of cells switched within a given time interval, etc.; the measurement information can also be a measurement result for a reference signal, such as a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0586] As one embodiment, the second dataset in the AI / ML model is configured by a network.

[0587] As one embodiment, the second dataset in the AI / ML model is determined by the first node.

[0588] As one embodiment, the second dataset in the AI / ML model includes stored data of the first node; the stored data can be from a network, can be from logs of the first node, and can be from other RAN nodes.

[0589] As one embodiment, the second dataset in the AI / ML model includes measurement information of the first node; the measurement information can be a mobility state of the first node, such as a moving speed, or a number of switched cells in a given time interval, etc.; the measurement information can also be a measurement result for a reference signal, such as a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0590] As one embodiment, the third dataset in the AI / ML model is configured by a network.

[0591] As one embodiment, the third dataset in the AI / ML model is determined by the first node.

[0592] As one embodiment, the third dataset in the AI / ML model includes stored data of the first node; the stored data can be from a network, can be from logs of the first node, and can be from other RAN nodes.

[0593] As one embodiment, the third dataset in the AI / ML model includes measurement information of the first node; the measurement information can be a mobility state of the first node, such as a moving speed, or a number of switched cells in a given time interval, etc.; the measurement information can also be a measurement result for a reference signal, such as a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0594] As one embodiment, the embodiment 16 is merely illustrative of the application capable of being used in an AI / ML model, and does not limit the application to be applied to non-AI / ML operations, and does not limit the application to be applied to other types of AI / ML models to achieve an effect equivalent to the AI / ML model shown in the embodiment 16.

[0595] Embodiment 17

[0596] Embodiment 17 illustrates a schematic diagram of intelligent function deployment of RAN (Radio Access Network) domain, according to an embodiment of the present application; as shown in FIG. 17. The gNB in Embodiment 17 can be replaced by eNB, or 6G base station, or other network device.

[0597] The intelligent functions of RAN domain include training (also referred to as ML training, or AI training, or AI / ML training) function, testing (also referred to as ML testing, or AI testing, or AI / ML testing) function, inference (also referred to as ML inference, or AI inference, or AI / ML inference) function, and the like. The training function, the testing function, and the inference function can be deployed independently, or can be co-located. The deployment of intelligent functions can be implemented by software, such as downloading and / or running of executable files; or can be implemented by software in combination with hardware, such as acceleration of specific computing units by hardware to improve operation speed or save power consumption.

[0598] For the training function, it can be deployed in a cross-domain management system, or a domain-specific management system; the domain-specific management system is used to manage RAN domain or CN (Core Network) domain. For example, the training function for MDA (Management Data Analytics) can be deployed in MDAF (MDA function); the training for network data analytics can be deployed in NWDAF (Network Data Analytics Function), i.e., the training function is MTLF (Model Training logical function).

[0599] For the inference function, it can also be deployed in a cross-domain management system, or a domain-specific management system; for example, the inference function is MDAF, or the inference function is AnLF (Analytics logical function) located in NWDAF.

[0600] Similarly, the testing function can also be deployed in a cross-domain management system, or a domain-specific management system.

[0601] In embodiment 17, the training function 1702 of the RAN domain is located in the management function 1703 of the RAN domain; while the inference function is located in the base station, i.e. the inference function 1704 is located in the gNB 1705, the inference function 1706 is located in the gNB 1707, and the ellipsis in the FIG. 17 represents other gNBs that are not shown and include other inference functions.

[0602] In the FIG. 17, the management of the inference functions of the plurality of base stations is completed by the RAN domain management function 1703, i.e. data interaction is performed with the RAN domain MnS (Management Service) consumer / cross-domain management 1701 (as shown by the dashed arrow 1708 in the FIG. 17).

[0603] Optionally, the management of the inference function can also be completed by the base station itself, i.e. each base station can independently perform data interaction with the RAN domain MnS consumer / cross-domain management 1701.

[0604] It should be noted that the embodiment 17 is only one non-limiting implementation; optionally, the training function of the RAN domain can also be deployed in the base station; or optionally, part of the base stations deploy the inference function and the training function of the RAN domain, while part of the base stations only deploy the inference function.

[0605] As one embodiment, one gNB (or base station) in the embodiment 17 is the second node of the present application.

[0606] As one embodiment, the node 203 in the FIG. 4 of the present application includes the RAN domain MnS consumer / cross-domain management 1701 in the FIG. 17.

[0607] As one embodiment, the node 203 in the FIG. 4 of the present application includes the training function 1702 in the FIG. 17.

[0608] As one embodiment, the node 203 in the FIG. 4 of the present application includes the management function 1703 in the FIG. 17.

[0609] As one embodiment, the node 203 in the FIG. 4 of the present application includes the inference function 1705 in the FIG. 17.

[0610] Embodiment 18

[0611] The embodiment 18 illustrates a schematic diagram of the deployment of the UE intelligence function according to one embodiment of the present application; as shown in the FIG. 18. The training function 1805 of the RAN domain in the FIG. 18 is optional.

[0612] The UE intelligence 1804 is deployed in the first node of the present application, and includes an inference function 1806; the inference function 1806 uses an AI / ML model (also referred to as an AI model, or an ML model, or an AI / ML model) for inference; an AI / ML model is usually trained before being used for AI / ML inference.

[0613] As an embodiment, the UE intelligence 1804 includes a RAN-domain training function 1805 that runs training data through an AI / ML model to derive a related loss, and adjusts parameters of the AI / ML model based on the calculated loss; the training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0614] The above embodiment can reduce the complexity of the base station, or save the air interface resources caused by reporting training data; however, the above embodiment puts higher requirements on the processing capability of the UE side.

[0615] Optionally, the UE intelligence 1804 further includes a CN-domain training function (not included in FIG. 18).

[0616] Optionally, the UE intelligence 1804 further includes an intelligent deployment function (not included in FIG. 18) for loading AI / ML models and data.

[0617] As an embodiment, the first node indicates whether the training function (RAN domain or CN domain) is supported through capability reporting, and the capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[0618] As an embodiment, the AI / ML model and related metadata are loaded by the first node from a network device or a remote server.

[0619] Optionally, the UE intelligence 1804 is an MnS (Management Service) producer that provides data to the CN-domain MnF (Management Function) 1801, and / or the RAN-domain MnF 1802, and / or the cross-domain management system 1803 for management or analysis (as shown by the double-headed arrow 1807).

[0620] Optionally, the UE intelligence function 1804 is a MnS consumer that loads data from the CN domain MnF 1801, and / or the RAN domain MnF 1802, and / or the cross-domain management system 1803 for AI / ML related management, such as management data requests, AI / ML model activations, and / or AI / ML model training, etc. (as indicated by the double arrow 1807).

[0621] As an embodiment, the AI / ML model is based on a neural network.

[0622] As an embodiment, the AI / ML model is based on a CNN (Conventional Neural Networks).

[0623] As an embodiment, the AI / ML model is based on a Transformer architecture.

[0624] As an embodiment, the UE 201 in FIG. 2 includes the inference function 1806 in FIG. 18.

[0625] As an embodiment, the first communication device 450 in FIG. 4 includes the inference function 1806 in FIG. 18.

[0626] As an embodiment, the first processor 2003 in FIG. 20 includes the inference function 1806 in FIG. 18.

[0627] As an embodiment, the third module in FIG. 16 includes the inference function 1806 in FIG. 18.

[0628] As an embodiment, the first node in the present application includes the inference function 1806 in FIG. 18.

[0629] As an embodiment, the first processor in the present application includes the inference function 1806 in FIG. 18.

[0630] As an embodiment, the second node in the present application includes the MnF 1802 in FIG. 18.

[0631] As an embodiment, the second node in the present application includes the RAN domain MnF 1802 in FIG. 18.

[0632] As an embodiment, the third node in the present application includes the MnF 1801 in FIG. 18.

[0633] As an example, the third node in the present application comprises the CN domain MnF 1801 in Figure 18.

[0634] As an example, the third node in the present application comprises the cross-domain management system 1803 in Figure 18.

[0635] As an example, the third node in the present application comprises the cross-domain management system 1803 in Figure 18.

[0636] As an example, the node 211 in Figure 4 in the present application comprises the CN domain MnF 1801 in Figure 18.

[0637] Embodiment 19

[0638] Embodiment 19 illustrates a flowchart based on artificial intelligence or machine learning, according to an embodiment of the present application; as shown in Figure 19. Figure 19 comprises a third operation, a fourth operation, a fifth operation, a sixth operation and a seventh operation. In Embodiment 19, the third operation and the fourth operation belong to a first phase, the fifth operation belongs to a second phase, the sixth operation belongs to a third phase, and the seventh operation belongs to a fourth phase. In Figure 19, the line with arrow indicates the order of the flow.

[0639] As an example, the third operation comprises AI / ML training, the fourth operation comprises AI / ML testing, the fifth operation comprises AI / ML emulation, the sixth operation comprises AI / ML entity loading, and the seventh operation comprises AI / ML inference.

[0640] As an example, the first phase comprises a training phase, the second phase comprises an emulation phase, the third phase comprises a deployment phase, and the fourth phase comprises an inference phase.

[0641] As an example, the first phase comprises AI / ML model training.

[0642] As an example, the first phase comprises AI / ML model training and AI / ML testing.

[0643] As an embodiment, the AI / ML model training includes initial training and re-training of one or a set of AI / ML entities.

[0644] As an embodiment, the AI / ML model training relies on training data.

[0645] As an embodiment, the AI / ML model training includes AI / ML entity validation.

[0646] As an embodiment, the AI / ML entity validation is used to evaluate the performance of the AI / ML entity.

[0647] As an embodiment, the AI / ML entity validation relies on validation data.

[0648] As an embodiment, if the result of AI / ML entity validation is not satisfactory, the AI / ML model will be re-trained.

[0649] As an embodiment, the AI / ML testing includes testing the validated AI / ML entity to evaluate the performance of the trained AI / ML model.

[0650] As an embodiment, if the result of AI / ML testing is satisfactory, the AI / ML entity proceeds to the next stage; otherwise, the AI / ML model will be re-trained.

[0651] As an embodiment, the AI / ML testing relies on testing data.

[0652] As an embodiment, the second stage includes AI / ML simulation, which simulates the inference of the AI / ML entity in a simulation environment.

[0653] As an embodiment, the AI / ML simulation is to evaluate the performance of the inference of the AI / ML entity in a simulation environment before using the AI / ML entity.

[0654] As an embodiment, the second stage is optional.

[0655] As an embodiment, the third stage includes AI / ML entity loading, which is to obtain the trained AI / ML entity to obtain the desired AI / ML inference function.

[0656] As an embodiment, the third stage is optional.

[0657] As one embodiment, the third stage is no longer needed when the training function and the inference function are co-located.

[0658] As one embodiment, the fourth stage comprises AI / ML inference.

[0659] Embodiment 20

[0660] Embodiment 20 illustrates a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application; as shown in FIG. 20. In FIG. 20, the processing apparatus 2000 in the first node comprises a first receiver 2001, a first transmitter 2002, a first processor 2003.

[0661] The first receiver 2001 receives on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0662] The first transmitter 2002 transmits a first signaling;

[0663] In embodiment 20, the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, and the first signaling comprises at least the CRC bits of the first block of bits.

[0664] As one embodiment, the first signaling comprises a first identity, the first identity indicating the first node; or the first signaling comprises at least part of the bits in the first block of bits.

[0665] As one embodiment, the first signaling comprises information of the first physical layer channel.

[0666] As one embodiment, the first signaling comprises a second identity, the second identity indicating a first AI / ML model, an output of the first AI / ML model comprising at least one of the first block of bits or the CRC bits of the first block of bits.

[0667] As one embodiment, the first signaling comprises a measurement result for a first reference signal resource, a spatial parameter of the first physical layer channel and the first reference signal resource being quasi co-located.

[0668] As one embodiment, the first receiver 2001 receives a second signaling; wherein the first signaling is triggered by the second signaling; the first signaling and the second signaling are both AS signaling of a higher layer, or the first signaling and the second signaling are both NAS signaling.

[0669] As one embodiment, the first processor 2003 sets the CRC bits of the at least the first block of bits in a first variable as the response to the receiving the response on the first physical layer channel; sets the first signaling as the response to the receiving the second signaling; wherein the setting the first signaling comprises setting the CRC bits of the at least the first block of bits in the first variable in the first signaling.

[0670] As one embodiment, the first signaling is triggered by a first event, the first event is dependent on the first block of bits.

[0671] As one embodiment, the first node is a user equipment.

[0672] As one embodiment, the first node is a base station equipment.

[0673] As one embodiment, the first node is a relay node equipment.

[0674] As one embodiment, the first receiver 2001 comprises at least one of the antenna 452 or the receiver 454 or the multi-antenna reception processor 458 or the reception processor 456 or the controller / processor 459 or the memory 460 or the data source 467 in Figure 4.

[0675] As one embodiment, the first receiver 2001 comprises at least the antenna 452 and the receiver 454 in Figure 4.

[0676] As one embodiment, the first transmitter 2002 comprises at least one of the antenna 452 or the transmitter 454 or the multi-antenna transmission processor 457 or the transmission processor 468 or the controller / processor 459 or the memory 460 or the data source 467 in Figure 4.

[0677] As one embodiment, the first transmitter 2002 comprises at least the antenna 452 and the transmitter 454 in Figure 4.

[0678] Embodiment 21

[0679] Embodiment 21 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application; as shown in Figure 21. In Figure 21, the processing apparatus 2100 in the second node comprises a second transmitter 2101 and a second receiver 2102.

[0680] The second transmitter 2101 transmits on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0681] The second receiver 2102 receives the first signaling;

[0682] In embodiment 21, the first signaling is an AS signaling of a higher layer, or the first signaling is a NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block.

[0683] As an embodiment, the first signaling includes a first identifier, and the first identifier indicates the first node; or the first signaling includes at least part of the bits in the first bit block.

[0684] As an embodiment, the first signaling includes information of the first physical layer channel.

[0685] As an embodiment, the first signaling includes a second identifier, and the second identifier indicates a first AI / ML model, and an output of the first AI / ML model includes at least one of the first bit block or the CRC bits of the first bit block.

[0686] As an embodiment, the first signaling includes a measurement result for a first reference signal resource, and a spatial parameter of the first physical layer channel and the first reference signal resource are quasi co-located.

[0687] As an embodiment, the second transmitter 2101 transmits a second signaling; wherein the first signaling is triggered by the second signaling; the first signaling and the second signaling are both AS signaling of a higher layer, or the first signaling and the second signaling are both NAS signaling.

[0688] As an embodiment, as a response to the reception on the first physical layer channel, a sender of the first signaling sets the CRC bits of at least the first bit block in a first variable; as a response to the reception of the second signaling, the sender of the first signaling sets the first signaling; wherein the setting of the first signaling includes setting the CRC bits of at least the first bit block in the first variable in the first signaling.

[0689] As an embodiment, the first signaling is triggered by a first event, and the first event depends on the first bit block.

[0690] As an embodiment, the second node is a user equipment.

[0691] As an embodiment, the second node is a base station device.

[0692] As an embodiment, the second node is a relay node device.

[0693] As one embodiment, the second node is a management node.

[0694] As one embodiment, the second transmitter 2101 comprises at least one of the antenna 420 or the transmitter 418 or the multi-antenna transmit processor 471 or the transmit processor 416 or the controller / processor 475 or the memory 476 in Figure 4 of this application.

[0695] As one embodiment, the second transmitter 2101 comprises at least the antenna 420 and the transmitter 418 in Figure 4 of this application.

[0696] As one embodiment, the second receiver 2102 comprises at least one of the antenna 420 or the receiver 418 or the multi-antenna receive processor 472 or the receive processor 470 or the controller / processor 475 or the memory 476 in Figure 4 of this application.

[0697] As one embodiment, the second receiver 2102 comprises at least the antenna 420 and the receiver 418 in Figure 4 of this application.

[0698] Embodiment 22

[0699] Embodiment 22 illustrates a structural block diagram of a processing apparatus in a third node according to an embodiment of the application; as shown in Figure 22. In Figure 22, the processing apparatus 2200 in the third node comprises a third receiver 2201.

[0700] The third receiver 2201 receives a first signaling; wherein the sender of the first signaling receives on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel;

[0701] In Embodiment 22, the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, the first signaling comprises at least the CRC bits of the first block of bits.

[0702] As one embodiment, the receiver of the first block of bits sends the first signaling.

[0703] As one embodiment, the receiver of the first block of bits sends the first signaling to a fourth node, the fourth node forwards the first signaling to the third node.

[0704] As one embodiment, the processing apparatus 2200 in the third node comprises a third transmitter 2202.

[0705] As an embodiment, the third transmitter 2202 transmits at least one of the first block of bits and the CRC bits of the first block of bits to the fourth node, which transmits on a first physical layer channel.

[0706] As an embodiment, the first signaling comprises a first identity, the first identity indicating the first node; or, the first signaling comprises at least part of the bits in the first block of bits.

[0707] As an embodiment, the first signaling comprises information of the first physical layer channel.

[0708] As an embodiment, the first signaling comprises a second identity, the second identity indicating a first AI / ML model, an output of the first AI / ML model comprising at least one of the first block of bits or the CRC bits of the first block of bits.

[0709] As an embodiment, the first signaling comprises a measurement result for a first reference signal resource, a spatial parameter of the first physical layer channel and the first reference signal resource being quasi co-located.

[0710] As an embodiment, the first signaling is triggered by a second signaling; a sender of the first signaling receives the second signaling; the first signaling and the second signaling are both AS signaling of a higher layer, or, the first signaling and the second signaling are both NAS signaling.

[0711] As an embodiment, as a response to the receiving on the first physical layer channel, the sender of the first signaling sets the CRC bits of at least the first block of bits in a first variable; as a response to the receiving of the second signaling, the sender of the first signaling sets the first signaling; wherein the setting the first signaling comprises setting the CRC bits of at least the first block of bits in the first variable in the first signaling.

[0712] As an embodiment, the first signaling is triggered by a first event, the first event depending on the first block of bits.

[0713] As an embodiment, the third node is a management node.

[0714] As an embodiment, the third transmitter 2202 comprises at least one of the antenna 420 or the transmitter 418 or the multi-antenna transmit processor 471 or the transmit processor 416 or the controller / processor 475 or the memory 476 in FIG. 4.

[0715] As one embodiment, the third transmitter 2202 includes at least the antenna 420 and the transmitter 418 in FIG.4 of this application.

[0716] As one embodiment, the third receiver 2201 includes at least one of the antenna 420 or the receiver 418 or the multi-antenna reception processor 472 or the reception processor 470 or the controller / processor 475 or the memory 476 in FIG.4 of this application.

[0717] As one embodiment, the third receiver 2201 includes at least the antenna 420 and the receiver 418 in FIG.4 of this application.

[0718] Those skilled in the art can understand that all or part of the steps of the above-mentioned method can be instructed by a program to complete the relevant hardware, and the program can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, or an optical disk, etc. Alternatively, all or part of the steps of the above-mentioned embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above-mentioned embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircrafts, aircrafts, small aircrafts, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers, and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, home base stations, relay base stations, gNB (NR Node B) NR Node B, TRP (Transmitter Receiver Point) and other wireless communication devices.

[0719] The above describes only the preferred embodiments of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A first node configured for wireless communication, the first node comprising: Comprising: a first receiver, receiving on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; a first transmitter, transmitting a first signaling; wherein the first signaling is an AS signaling of a higher layer, or, the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, the first signaling comprises at least the CRC bits of the first block of bits.

2. The first node of claim 1, characterized in that, the first signaling comprises a first identity, the first identity indicating the first node; or, the first signaling comprises at least part of bits in the first block of bits.

3. The first node of claim 1 or 2, wherein, the first signaling comprises information of the first physical layer channel.

4. The first node of any of claims 1 to 3, wherein, the first signaling comprises a second identity, the second identity indicating a first AI / ML model, an output of the first AI / ML model comprising at least one of the first block of bits or the CRC bits of the first block of bits.

5. The first node of any of claims 1 to 4, wherein, the first signaling comprises a measurement result for a first reference signal resource, a spatial parameter of the first physical layer channel and the first reference signal resource being quasi co-located.

6. The first node of any of claims 1 to 5, wherein, Comprising: the first receiver, receiving a second signaling; wherein the first signaling is triggered by the second signaling; the first signaling and the second signaling are both an AS signaling of a higher layer, or, the first signaling and the second signaling are both a NAS signaling.

7. The first node of claim 6, wherein, Comprising: a first processor, setting the CRC bits of at least the first block of bits in a first variable as a response to the receiving on the first physical layer channel; setting the first signaling as a response to the receiving the second signaling; wherein the setting the first signaling comprises setting the CRC bits of at least the first block of bits in the first variable in the first signaling.

8. The first node of any of claims 1-7, wherein, the first signaling is triggered by a first event, the first event depending on the first block of bits.

9. A second node configured for wireless communication, the second node comprising: Comprising: a second transmitter, transmitting on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; a second receiver, receiving a first signaling; wherein the first signaling is an AS signaling of a higher layer, or, the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, the first signaling comprises at least the CRC bits of the first block of bits.

10. A third node used for wireless communication, characterized in that, Comprising: a third receiver, receiving a first signaling; wherein a sender of the first signaling transmits on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; wherein the first signaling is a NAS signaling; the CRC bits of the first block of bits are generated at a physical layer, the first signaling comprises at least the CRC bits of the first block of bits.

11. A method in a first node used for wireless communication, characterized by, Comprising: receiving on a first physical layer channel; wherein a first block of bits and CRC bits of the first block of bits are carried by the first physical layer channel; transmitting a first signaling; The first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block.

12. A method in a second node used for wireless communication, characterized by, Comprise: The first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block. Comprise: The first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block.

13. A method in a third node used for wireless communication, characterized by, Comprise: The first signaling is AS signaling of a higher layer, or the first signaling is NAS signaling; the CRC bits of the first bit block are generated at a physical layer, and the first signaling includes at least the CRC bits of the first bit block. Comprise:

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