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

Abstract

The invention discloses a method and a device in a node used for wireless communication and artificial intelligence. The first node sends a first measurement report in the first cell; then receiving a first signaling and sending a first signal; the first measurement report comprises at least one of the channel quality of the first cell and the channel quality of a second cell; the first signaling is a response to the first measurement report; the first signal aims at the second cell; whether the first signaling includes a first domain dependent on the first measurement report; the first measurement report is generated based on the AI or not based on the AI; when the first signaling includes the first domain, a transmit power value of the first signal depends on the first domain of the first signaling. According to the invention, fusion of AI and communication is supported, the efficiency and reliability of a communication system are improved, and the adaptability of the communication system under different channel characteristics is enhanced.

Description

Technical Field

[0001] The present application relates to a signal transmission method and device in a wireless communication system, and in particular to a mobility management method and device. Background Art

[0002] The application scenarios of future wireless communication systems will become more and more diversified. In order to meet the performance requirements in different scenarios, 3GPP (3rd Generation Partner Project) is actively studying how to combine AI (Artificial Intelligence) / ML (Machine Learning) technology with mobile communications. The main application scenarios involve network automation, optimizing resource allocation, and improving service continuity for mobile users.

[0003] The mobility of user equipment (UE) is an important feature of wireless networks. To further enhance the mobility performance of UE, the L1 (Layer 1, Layer 1) / L2 (Layer 2, Layer 2) triggered mobility (L1 / L2 Triggered Mobility, LTM) introduced by 3GPP Rel-18 (Release-18) is an important research direction to reduce latency, overhead and interruption time; Rel-19 will further study the support for inter-cell handover (HandOver, HO) across centralized units (Centralized Unit, CU), and explore the feasibility of using AI / ML for beam prediction and UE mobility prediction.

[0004] Furthermore, AI / ML can achieve load balancing and energy saving by analyzing measured and predicted resource status information (such as physical resource block utilization of neighboring cells and service cells, number of active UEs, etc.); in addition, AI / ML can also optimize wireless resource management strategies by predicting the movement trajectory of UEs, so that the network can make resource allocation and switching decisions based on the expected movement path of UEs. Mobility management based on AI / ML not only helps to improve the accuracy and efficiency of switching, but also reduces switching interruption time and improves user experience. In the future, 3GPP will further deepen the application of AI / ML in mobility management and promote the deep integration of AI / ML with communication networks to enhance the intelligence level of the network, optimize mobility management, improve spectrum and energy efficiency, and provide users with more stable and efficient mobile communication services. Summary of the invention

[0005] In the NR (New Radio) system, network-controlled mobility can be applied to UEs in RRC_CONNECTED state. Specifically, the network configures measurement parameters and reporting parameters for the UE through higher-layer signaling. The RRC_CONNECTED UE performs measurements according to the measurement configuration and sends a measurement report when the conditions are met. After receiving the measurement report, the base station decides whether to switch the UE to other cells based on the measurement report. In the AI / ML scenario, the AI / ML model can predict the UE's mobile path through massive data, helping the base station to make better resource allocation and switching decisions. Therefore, the enhancement of mobility management based on AI / ML is an issue worthy of study.

[0006] In response to the above problems, the present application discloses a solution. It should be noted that, in the description of the above problems, the NR system is used as an example, and the present application is also applicable to scenarios such as the future 6G system, achieving technical effects similar to the NR system; further, although the original intention of the present application is for AI / ML scenarios, the present application can also be applied to other non-AI / ML scenarios; further, the use of a unified design scheme for different scenarios (such as other non-AI / ML scenarios, including but not limited to vehicle networking (Vehicle to Everything, V2X), capacity enhancement systems, short-range communication systems, NTN (Non Terrestrial Network, non-terrestrial network), IoT (Internet of Things, Internet of Things), URLLC (Ultra Reliable Low Latency Communication, ultra-robust low-latency communication) networks, etc.) can also help reduce hardware complexity and cost. In the absence of conflict, the embodiments and features in any node of the present application can be applied to any other node. In the absence of conflict, the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other.

[0007] In particular, the interpretation of the terms, nouns, functions, and variables in this application (if not otherwise specified) can refer to the definitions in the TS38 series and TS37 series in the technical specifications (TS) of 3GPP (the 3rd Generation Partnership Project). If necessary, reference can be made to TS38.211, TS38.212, TS38.213, TS38.214, TS38.215, TS38.300, TS38.304, TS38.305, TS38.321, TS38.331, TS37.355, and TS38.423 in the 3GPP technical standards to assist in the understanding of this application.

[0008] As an example, the interpretation of the terms in the present application refers to the definitions of the TS38 series of specification protocols of 3GPP.

[0009] As an example, the interpretation of the terms in the present application refers to the definitions of the TS37 series of specification protocols of 3GPP.

[0010] As an example, the interpretation of the terms in the present application refers to the definition of the TS40 series of specification protocols of 3GPP.

[0011] As an example, the interpretation of the terms in the present application refers to the definitions of the TS39 series of specification protocols of 3GPP.

[0012] As an example, the interpretation of the terms in the present application refers to the definitions in the Rel-17 version of the specification protocol of 3GPP.

[0013] As an example, the interpretation of the terms in the present application refers to the definitions in the Rel-18 version of the specification protocol of 3GPP.

[0014] As an example, the interpretation of the terms in the present application refers to the definitions in the Rel-19 version of the specification protocol of 3GPP.

[0015] As an example, the interpretation of the terms in the present application refers to the definitions in the Rel-20 version of the specification protocol of 3GPP.

[0016] The present application discloses a method for a first node in wireless communication and artificial intelligence, which includes:

[0017] Sending a first measurement report in a first cell;

[0018] receiving a first signal and sending a first signal;

[0019] Among them, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0020] As an embodiment, the problem to be solved by the present application includes: in an AI / ML scenario, how the first node determines the transmission power value of the first signal.

[0021] As an embodiment, the problem to be solved by the present application includes: power control in AI / ML scenarios.

[0022] As an embodiment, the problem to be solved by the present application includes: in AI / ML-based mobility management, how to determine the transmission power value of a signal sent to a destination cell.

[0023] As an embodiment, the characteristics of the above method include: in the present application, the first node receives the first signaling, and the transmission power value of the first signal depends on the first field of the first signaling, thereby solving the above problem.

[0024] As an embodiment, the characteristics of the above method include: the first node is a terminal.

[0025] As an embodiment, the characteristics of the above method include: the first cell is a source cell of the first node, and the second cell is a destination cell of the first node.

[0026] As an embodiment, the characteristics of the above method include: the generation method of the first measurement report includes whether the channel quality included in the first measurement report is generated based on AI.

[0027] As an embodiment, the characteristics of the above method include: the present application is applicable to mobility management under RRC_CONNECTED.

[0028] As an embodiment, the benefits of the above method include: This application supports the application of AI / ML in mobility management, promotes the deep integration of AI / ML and communication networks to enhance the intelligence level of the network, optimize mobility management, improve spectrum and energy efficiency, and provide users with more stable and efficient mobile communication services.

[0029] As an embodiment, the benefits of the above method include: enhancing power control of uplink wireless signals, ensuring reliable signal transmission and reducing terminal power consumption.

[0030] As an embodiment, the benefits of the above method include: being conducive to improving the mobility support of signals and improving the service quality of the system.

[0031] As an embodiment, the benefits of the above method include: generating measurement reports based on AI, which is conducive to predicting changes in channel quality in advance, reducing the probability of beam failure or connection interruption, optimizing wireless resource management strategies, and enabling the network to make resource allocation and switching decisions based on the UE's expected mobile path.

[0032] According to one aspect of the present application, the above method is characterized in that when the first measurement report is generated based on AI, the first signaling includes the first domain; when the first measurement report is not generated based on AI, the first signaling does not include the first domain.

[0033] As an embodiment, the characteristics of the above method include: the base station decides whether to limit the uplink transmission power of the UE when sending a signal to the destination cell when switching the UE according to whether the first measurement report is generated based on AI.

[0034] As an embodiment, the characteristics of the above method include: when the first measurement report is generated based on AI, the first signaling directly indicates through the first domain whether to limit the uplink transmission power when the UE sends a signal to the destination cell.

[0035] As an embodiment, the benefits of the above method include: being conducive to promoting the deep integration of mobile communication networks and AI.

[0036] As an embodiment, the benefits of the above method include: improving system performance, and increasing the efficiency and reliability of the communication system.

[0037] As an embodiment, the benefits of the above method include: achieving a balance between reducing signal interference and improving cell coverage.

[0038] According to one aspect of the present application, the above method is characterized in that the first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are respectively for the first cell and the second cell.

[0039] As an embodiment, the characteristics of the above method include: the first path loss is a downlink path loss of the first cell; and the second path loss is a downlink path loss of the second cell.

[0040] As an embodiment, the characteristics of the above method include: the first field included in the first signaling indicates whether the transmission power value of the first signal depends only on the second path loss of the first path loss and the second path loss.

[0041] As an embodiment, the benefits of the above method include: achieving a balance between reducing signal interference and improving cell coverage, especially reducing the interference of signals to the source cell during the handover process, and ensuring the communication quality of the UE in the source cell.

[0042] As an embodiment, the benefits of the above method include: ensuring the stability of the handover or LTM process and reducing the probability of communication interruption due to handover failure.

[0043] According to one aspect of the present application, the above method is characterized in that the first signaling includes the first field, the first field included in the first signaling indicates a first numerical value, and the transmission power value of the first signal depends on the first numerical value.

[0044] As an embodiment, the characteristics of the above method include: the first value is a power offset value.

[0045] As an embodiment, the characteristics of the above method include: the first value is a proportional coefficient.

[0046] As an embodiment, the benefits of the above method include: achieving a balance between reducing signal interference and improving cell coverage, especially reducing signal interference to the target cell during the handover process, and ensuring the communication quality of the UE in the target cell.

[0047] As an embodiment, the benefits of the above method include: ensuring the stability of the handover or LTM process and reducing the probability of communication interruption due to handover failure.

[0048] According to one aspect of the present application, the above method is characterized in that it includes:

[0049] receiving a first reference signal and a second reference signal;

[0050] The channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0051] As an embodiment, the problem to be solved by the present application includes: how to determine the channel quality of the first cell and the second channel quality of the second cell.

[0052] As an embodiment, the characteristics of the above method include: in the present application, the first node receives a first reference signal and a second reference signal, and determines the channel quality of the first cell and the second channel quality of the second cell according to the first reference signal and the second reference signal, respectively, thereby solving the above problem.

[0053] As an embodiment, the characteristics of the above method include: when the channel quality of the first cell is generated based on AI, the input of the AI ​​model reasoning stage includes the first reference signal, and the output includes part or all of the channel quality of the first cell; when the channel quality of the second cell is generated based on AI, the input of the AI ​​model reasoning stage includes the second reference signal, and the output includes part or all of the channel quality of the second cell.

[0054] As an embodiment, the characteristics of the above method include: the first measurement report is triggered by an event, and the event includes that the channel quality of the second cell is better than the channel quality of the first cell.

[0055] As an embodiment, the characteristics of the above method include: the first measurement report indicates that the channel quality of the second cell is better than the channel quality of the first cell.

[0056] As an embodiment, the characteristics of the above method include: the first measurement report is generated based on AI, and the output of the AI ​​includes an indication that the channel quality of the second cell is better than the channel quality of the first cell.

[0057] As an embodiment, the benefits of the above method include: compatibility with the current mobility management in the RRC_CONNECTED state and minor changes to the current standard.

[0058] According to one aspect of the present application, the above method is characterized in that the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0059] As an embodiment, the characteristics of the above method include: the first signaling configures LTM and initiates LTM preparation.

[0060] As an embodiment, the characteristics of the above method include: the first signaling includes LTM candidate configuration.

[0061] As an embodiment, the characteristics of the above method include: the first signaling triggers a handover of the Uu port.

[0062] As an embodiment, the benefits of the above method include: the present application is applicable to mobility management under RRC_CONNECTED, which is beneficial to improving the mobility support of signals and improving the service quality of the system.

[0063] As an embodiment, the benefits of the above method include: the present application is applicable to LTM and has the advantages of reducing latency, overhead and interruption time.

[0064] According to one aspect of the present application, the above method is characterized in that it includes:

[0065] receiving second signaling, wherein the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively;

[0066] Among them, at least one channel measurement value for the first cell is obtained by measuring the measurement object of the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

[0067] As an embodiment, the characteristics of the above method include: when the first measurement report is generated based on AI, the content of the first measurement report is generated based on AI.

[0068] As an embodiment, the characteristics of the above method include: the first measurement report includes at least one of at least one channel measurement value for the first cell or at least one channel measurement value for the second cell.

[0069] As an embodiment, the characteristics of the above method include: the input of the AI ​​model for generating the first measurement report includes at least one of the channel measurement values ​​for the first cell or at least one of the channel measurement values ​​for the second cell.

[0070] As an embodiment, the benefits of the above method include: reducing the impact of the ping-pong effect during cell switching.

[0071] As an embodiment, the benefits of the above method include: promoting the integration of AI and mobile networks while reducing the impact on current standards.

[0072] According to one aspect of the present application, the above method is characterized in that the first node is a terminal.

[0073] According to one aspect of the present application, the above method is characterized in that the first node has AI / ML capabilities.

[0074] According to one aspect of the present application, the above method is characterized in that the first node supports AI / ML-based measurement reporting.

[0075] According to one aspect of the present application, the above method is characterized in that the first node supports AI / ML-based mobility management.

[0076] The present application discloses a method for a second node in wireless communication and artificial intelligence, which includes:

[0077] receiving a first measurement report in a first cell;

[0078] Sending a first signal and receiving a first signal;

[0079] Among them, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0080] As an embodiment, the characteristics of the above method include: the second node is a base station.

[0081] According to one aspect of the present application, the above method is characterized in that when the first measurement report is generated based on AI, the first signaling includes the first domain; when the first measurement report is not generated based on AI, the first signaling does not include the first domain.

[0082] According to one aspect of the present application, the above method is characterized in that the first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are respectively for the first cell and the second cell.

[0083] According to one aspect of the present application, the above method is characterized in that the first signaling includes the first field, the first field included in the first signaling indicates a first numerical value, and the transmission power value of the first signal depends on the first numerical value.

[0084] According to one aspect of the present application, the above method is characterized in that it includes:

[0085] sending a first reference signal and a second reference signal;

[0086] The channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0087] According to one aspect of the present application, the above method is characterized in that the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0088] According to one aspect of the present application, the above method is characterized in that it includes:

[0089] Sending a second signaling, wherein the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively;

[0090] Among them, at least one channel measurement value for the first cell is obtained by measuring the measurement object of the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

[0091] According to one aspect of the present application, the above method is characterized in that the second node is a base station.

[0092] According to one aspect of the present application, the above method is characterized in that the second node is associated with multiple cells, and the multiple cells include the first cell and the second cell.

[0093] According to one aspect of the present application, the above method is characterized in that the second node manages the first cell and the second cell.

[0094] According to one aspect of the present application, the above method is characterized in that the first signal is received in the second cell.

[0095] According to one aspect of the present application, the above method is characterized in that the second reference signal is sent in the second cell.

[0096] The present application discloses a first node for wireless communication and artificial intelligence, which includes:

[0097] A first transmitter sends a first measurement report in a first cell;

[0098] A first receiver receives a first signaling;

[0099] The first transmitter sends a first signal;

[0100] Among them, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0101] The present application discloses a second node for wireless communication and artificial intelligence, which includes:

[0102] A second receiver receives a first measurement report in a first cell;

[0103] A second transmitter sends a first signaling;

[0104] The second receiver receives the first signal;

[0105] Among them, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0106] As an embodiment, compared with the traditional solution, the present application has the following advantages but not limited to:

[0107] This application supports the application of AI / ML in mobility management and promotes the deep integration of AI / ML with communication networks to enhance the intelligence level of the network, optimize mobility management, improve spectrum and energy efficiency, and provide users with more stable and efficient mobile communication services;

[0108] It is beneficial to improve the mobility support of signals and enhance the service quality of the system;

[0109] Enhance the power control of uplink wireless signals to ensure reliable signal transmission while reducing terminal power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0110] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0111] Figure 1 A flowchart showing first node transmission according to an embodiment of the present application is shown;

[0112] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0113] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0114] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0115] Figure 5 A first flow chart showing transmission between a first node and a second node according to an embodiment of the present application is shown;

[0116] Figure 6 A second flow chart showing transmission between a first node and a second node according to an embodiment of the present application;

[0117] Figure 7 A first schematic diagram showing a first field included in a first signaling according to an embodiment of the present application;

[0118] Figure 8 A second schematic diagram showing a first field included in a first signaling according to an embodiment of the present application;

[0119] Fig. 9 A schematic diagram of RAN domain AI / ML function deployment according to an embodiment of the present application is shown;

[0120] Fig.10 A schematic diagram showing the deployment of AI / ML functions of a UE according to an embodiment of the present application is shown;

[0121] Fig.11 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0122] Fig.12 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0123] Fig.13 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0124] Fig.14 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0125] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, including but not limited to the attached drawings. Figure 1 The embodiments and appendix Figure 5 -Attached Fig.14 The embodiments in Figure 5 The embodiments and appendix Figure 6 -Attached Fig.14 The embodiments in , etc.

[0126] Example 1

[0127] Embodiment 1 illustrates a flowchart of the first node transmission according to an embodiment of the present application, as shown in the attached Figure 1 As shown in the attached Figure 1 In the example, each box represents a step. In particular, the order of the steps in the box does not represent a specific time sequence between the steps.

[0128] In step 101 , the first node sends a first measurement report in a first cell; in step 102 , the first node receives a first signaling and sends a first signal.

[0129] In embodiment 1, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0130] As an embodiment, the first node is the first node in the present application.

[0131] As an embodiment, the AI ​​refers to: Artificial Intelligence.

[0132] As an embodiment, the AI ​​includes: Machine Learning.

[0133] As an embodiment, the AI ​​includes: Deep Learning.

[0134] As an embodiment, the receiving of the first signaling and the sending of the first signal in step 102 are completed separately.

[0135] As an embodiment, the receiving of the first signaling and the sending of the first signal in step 102 are respectively completed in two orthogonal time domain resources.

[0136] As a sub-embodiment of this embodiment, the two orthogonal time domain resources are two orthogonal time slots.

[0137] As a sub-embodiment of this embodiment, the two orthogonal time domain resources are two orthogonal OFDM symbol sets.

[0138] As an embodiment, the step 102 of the first node includes step 102A and step 102B, and the first node receives a first signaling in step 102A and then sends a first signal in step 102B.

[0139] As an embodiment, the first node sends the first measurement report in the first cell.

[0140] As an embodiment, the first measurement report is carried by a baseband signal.

[0141] As an embodiment, the first measurement report is carried by a radio frequency signal.

[0142] As an embodiment, the first measurement report is carried by a wireless signal.

[0143] As an embodiment, the first measurement report is transmitted via an RRC (Radio Resource Control) message.

[0144] As an embodiment, the first measurement report includes one or more RRC messages.

[0145] As an embodiment, the first measurement report includes one or more fields in an RRC message.

[0146] As an embodiment, the first measurement report includes one or more parts in an RRC message.

[0147] As an embodiment, the first measurement report is carried by SRB1 (Signal Radio Bearer 1).

[0148] As an embodiment, the first measurement report is carried by SRB3 (Signal Radio Bearer 3).

[0149] As an embodiment, the logical channel occupied by the first measurement report includes a DCCH (Dedicated Control Channel).

[0150] As an embodiment, the transmission channel occupied by the first measurement report includes UL-SCH (UpLink-Shared CHannel, uplink shared channel).

[0151] As an embodiment, sending the first measurement report in the first cell means: sending the first measurement report using air interface resources of the first cell.

[0152] As an embodiment, sending the first measurement report in the first cell means: sending the first measurement report in the air interface resources corresponding to the first cell.

[0153] As an embodiment, sending the first measurement report in the first cell means: sending the first measurement report in the air interface resources configured for the first cell.

[0154] As an embodiment, the air interface resources described in the present application include one or more of time domain resources, frequency domain resources, space domain resources and code domain resources.

[0155] As an embodiment, the air interface resources described in the present application include one or more of PUSCH (Physical Uplink Shared CHannel, physical uplink shared channel) occasions, PUCCH (Physical Uplink Control CHannel, physical uplink control channel) occasions, and PRACH (Physical Random Access CHannel, physical random access channel) occasions.

[0156] As an embodiment, the first cell is a camped cell where the first node is currently camped.

[0157] As an embodiment, the first cell is a current serving cell of the first node.

[0158] As an embodiment, the first cell is a source cell of the first node.

[0159] As an embodiment, the first cell corresponds to a carrier.

[0160] As an embodiment, the first cell corresponds to a PCI.

[0161] As an embodiment, the first cell corresponds to a ServCellIndex.

[0162] As an embodiment, the first cell corresponds to a ServCellId.

[0163] As an embodiment, the first cell corresponds to an SCellIndex.

[0164] As an embodiment, the first cell corresponds to a ServCellIdentity.

[0165] As an embodiment, the serving cell described in the present application includes a PCell (Primary Cell).

[0166] As an embodiment, the serving cell described in the present application includes a SCell (Secondary Cell).

[0167] As an embodiment, the service cell described in the present application includes a SpCell (Special Cell).

[0168] As an embodiment, the serving cell described in the present application includes a PSCell (Primary Secondary Cell, primary secondary cell)

[0169] As an embodiment, the service cell described in the present application includes a cell in an MCG (Master Cell group).

[0170] As an embodiment, the serving cell described in the present application includes a cell in a SCG (Secondary Cell group).

[0171] As an embodiment, the PCI mentioned in this application refers to: Physical Cell Identifier, physical cell identifier.

[0172] As an embodiment, the PCI mentioned in this application refers to: Physical Cell Identity, physical cell identity.

[0173] As an embodiment, the PCI mentioned in this application refers to: Physical-layer Cell Identity, physical layer cell identity.

[0174] As an embodiment, the PCI described in this application refers to: physCellId.

[0175] As an embodiment, the ServCellIndex described in the present application is a non-negative integer not greater than 31.

[0176] As an embodiment, the SCellIndex described in this application is a positive integer not greater than 31.

[0177] As an embodiment, the PhysCellId described in the present application is a non-negative integer not greater than 1007.

[0178] As an embodiment, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell.

[0179] As an embodiment, the first measurement report includes both the channel quality of the first cell and the channel quality of the second cell.

[0180] As an embodiment, the first measurement report includes the channel quality of the first cell.

[0181] As an embodiment, the first measurement report includes the channel quality of the second cell.

[0182] As an embodiment, the first measurement report indicates the second cell.

[0183] As an embodiment, the second cell is a cell outside the first node.

[0184] As an embodiment, the second cell is a neighbor cell of the cell in which the first node currently resides.

[0185] As an embodiment, the second cell is a neighboring cell of the service cell of the first node.

[0186] As an embodiment, the second cell is a target cell of the first node.

[0187] As an embodiment, the second cell corresponds to one carrier.

[0188] As an embodiment, the second cell corresponds to a PCI.

[0189] As an embodiment, the second cell corresponds to a ServCellIndex.

[0190] As an embodiment, the channel quality in the present application includes: cell channel.

[0191] As an embodiment, the channel quality in the present application includes: beam channel quality.

[0192] As an embodiment, the channel quality in the present application includes: cell channel quality ranking.

[0193] As an embodiment, the channel quality in the present application includes: one or more fields in a MeasResults IE (Information Element, information unit).

[0194] As an embodiment, the channel quality in the present application includes: MeasQuantityResults.

[0195] As an embodiment, the channel quality in the present application includes: RSRP (Reference Signal Received Power).

[0196] As an embodiment, the channel quality in the present application includes: RSRQ (Reference Signal Received Quality).

[0197] As an embodiment, the channel quality in the present application includes: SINR (Signal to Noise and Interference Ratio).

[0198] As an embodiment, the channel quality in the present application includes: SSB-Index.

[0199] As an embodiment, the channel quality in the present application includes: CSI-RS-Index.

[0200] As an embodiment, the channel quality in the present application includes: RSSI (Received Signal Strength Indication).

[0201] As an embodiment, the channel quality in the present application includes: channelOccupancy.

[0202] As an embodiment, the channel quality in the present application includes: RSSI-ResourceId.

[0203] As an embodiment, the channel quality in the present application includes: SRS-ResourceId.

[0204] As an embodiment, the channel quality in the present application includes: SRS (Sounding Resource Signal, sounding reference signal)-RSRP.

[0205] As an embodiment, the channel quality in the present application includes: CLI (Cross Link Interference)-RSSI.

[0206] As an embodiment, the channel quality in the present application includes: Delay.

[0207] As an embodiment, the channel quality in the present application includes: averageDelay.

[0208] As an embodiment, the channel quality in the present application includes: excessDelay.

[0209] As an embodiment, the first node receives the first signaling.

[0210] As an embodiment, the first signaling includes RRC signaling.

[0211] As an embodiment, the first signaling is transmitted via an RRC message.

[0212] As an embodiment, the first signaling includes one or more RRC messages.

[0213] As an embodiment, the first signaling includes one or more fields in an RRC message.

[0214] As an embodiment, the first signaling includes one or more parts in an RRC message.

[0215] As an embodiment, the first signaling includes dynamic signaling.

[0216] As an embodiment, the first signaling is transmitted via MAC (Medium Access Control) layer signaling.

[0217] As an embodiment, the first signaling is transmitted via MAC CE (Control Element).

[0218] As an embodiment, the first signaling includes MAC CE.

[0219] As an embodiment, the first signaling includes physical layer signaling.

[0220] As an embodiment, the first signaling includes DCI (Downlink Control Information).

[0221] As an embodiment, the first signaling is transmitted through a physical layer channel.

[0222] As an embodiment, the first signaling is one of an RRCReconfiguration message or an LTM Cellswitch command MAC CE.

[0223] As an embodiment, the first signaling is a response to the first measurement report.

[0224] As an embodiment, the first signaling is feedback for the first measurement report.

[0225] As an embodiment, the first signaling indicates that the first measurement report is correctly received by the second node in the present application.

[0226] As an embodiment, in response to receiving the first measurement report, the receiver of the first measurement report decides to send the first signaling.

[0227] As an embodiment, the receiver of the first measurement report sends the first signaling after receiving the first measurement report.

[0228] As an embodiment, after receiving the first measurement report, the receiver of the first measurement report decides to configure LTM (L1 / L2-Triggered Mobility) based on the first measurement report, and initiates LTM preparation.

[0229] As a sub-embodiment of this embodiment, the candidate cells of the LTM include the second cell.

[0230] As a sub-embodiment of this embodiment, the first signaling is used to configure the LTM.

[0231] As an embodiment, the receiver of the first measurement report decides to initiate an LTM process after receiving the first measurement report.

[0232] As a sub-embodiment of this embodiment, the first signaling belongs to the LTM process.

[0233] As an embodiment, after receiving the first measurement report, the receiver of the first measurement report decides to handover the first node based on the first measurement report.

[0234] As a sub-embodiment of this embodiment, the first signaling triggers the switching of the Uu port.

[0235] As an embodiment, the first signaling triggers switching of the first node from the first cell to the second cell.

[0236] As an embodiment, the first signaling indicates switching of the first node from the first cell to the second cell.

[0237] As an embodiment, the first node sends the first signal.

[0238] As an embodiment, the first signal is a baseband signal.

[0239] As an embodiment, the first signal is a radio frequency signal.

[0240] As an embodiment, the first signal is a wireless signal.

[0241] As an embodiment, the first signal is transmitted via an RRC message.

[0242] As an embodiment, the first signal includes one or more RRC messages.

[0243] As an embodiment, the first signal includes one or more fields in an RRC message.

[0244] As an embodiment, the first signal includes one or more parts of an RRC message.

[0245] As an embodiment, the first signal is transmitted through the MAC layer.

[0246] As an embodiment, the first signal is transmitted via MAC CE.

[0247] As an embodiment, the first signal is transmitted through a physical layer channel.

[0248] As an embodiment, the first signal is directed to the second cell.

[0249] As an embodiment, the meaning of the first signal for the second cell includes: the first node sends the first signal on the second cell.

[0250] As an embodiment, the meaning of the first signal to the second cell includes: the first node uses the air interface resources of the second cell to send the first signal.

[0251] As an embodiment, the meaning of the first signal to the second cell includes: the first node sends the first signal in the air interface resources configured in the second cell.

[0252] As an embodiment, the meaning of the first signal for the second cell includes: the first node sends the first signal in the air interface resources corresponding to the second cell.

[0253] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is for accessing the second cell.

[0254] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is a wireless signal sent during synchronization with the second cell.

[0255] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is a wireless signal in a RACH (Random Access CHannel) process initiated for the second cell.

[0256] As an embodiment, the meaning of the first signal to the second cell includes: the first signal is a RACH sent to the second cell.

[0257] As an embodiment, the meaning of the first signal to the second cell includes: the first signal is a PRACH (Physical Random Access CHannel) sent to the second cell.

[0258] As an embodiment, the meaning of the first signal to the second cell includes: the first signal is for establishing an RRC connection with the second cell.

[0259] As an embodiment, the meaning of the first signal to the second cell includes: the first signal is an RRCReconfigurationComplete message sent to the second cell.

[0260] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is a PUSCH (Physical Uplink Shared CHannel) sent to the second cell.

[0261] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is a PUCCH (Physical Uplink Control CHannel) sent to the second cell.

[0262] As an embodiment, the meaning of the first signal for the second cell includes: the first signal is an uplink signal sent by the first node to the second cell in a given time window, the given time window is after the first measurement report, the given time window is fixed, or the given time window is configured through RRC signaling.

[0263] As an embodiment, whether the first signaling includes the first domain depends on the first measurement report.

[0264] As an embodiment, whether the first signaling includes the first domain dependence of the first measurement report means: whether the first signaling includes the first domain dependence of the first measurement report generation method, and the generation method of the first measurement report is one of AI-based generation or not AI-based generation.

[0265] As a sub-embodiment of this embodiment, the first measurement report is generated based on AI, and the first signaling includes the first domain; or the first measurement report is generated not based on AI, and the first signaling does not include the first domain.

[0266] As an embodiment, whether the first signaling includes the first domain-dependent first measurement report means: whether the first signaling includes the first domain-dependent content included in the first measurement report, and the content included in the first measurement report is one of being generated based on AI or not generated based on AI.

[0267] As a sub-embodiment of this embodiment, the content included in the first measurement report is generated based on AI, and the first signaling includes the first domain; or the content included in the first measurement report is not generated based on AI, and the first signaling does not include the first domain.

[0268] As an embodiment, whether the first signaling includes the first domain-dependent first measurement report means: whether the first signaling includes the first domain-dependent content included in the first measurement report, whether the content included in the first measurement report includes a first information set or does not include the first information set, and the first information set at least includes probability information.

[0269] As a sub-embodiment of this embodiment, the first measurement report includes the first information set, and the first signaling includes the first field; or the first measurement report does not include the first information set, and the first signaling does not include the first field.

[0270] As a sub-embodiment of this embodiment, the first information set includes a time window.

[0271] As a sub-embodiment of this embodiment, the first information set includes a time instance.

[0272] As a sub-embodiment of this embodiment, the probability information is for the probability of RLF (Radio Link Failure).

[0273] As a sub-embodiment of this embodiment, the probability information is the probability in a time window.

[0274] As a sub-embodiment of this embodiment, the probability information is the probability in a time instance.

[0275] As a sub-embodiment of this embodiment, the probability information is confidence for the first measurement report.

[0276] As a sub-embodiment of this embodiment, the probability information is a CI (Confidence Interval) for the first measurement report.

[0277] As an embodiment, whether the first signaling includes the first field depends on the first measurement report, which means that the first measurement report is generated based on AI, and the first node determines that the first signaling includes the first field when decoding the first signaling.

[0278] As an embodiment, whether the first signaling includes the first domain depends on the first measurement report, which means that the first measurement report is generated based on AI, and when the first node decodes the first signaling, it determines the first signaling payload based on the fact that the first signaling includes the first domain.

[0279] As an embodiment, whether the first signaling includes the first field depends on the first measurement report, which means that the first measurement report is generated based on AI, and when the first node decodes the first signaling, it determines the number of bits occupied by the first signaling based on the fact that the first signaling includes the first field.

[0280] As an embodiment, whether the first signaling includes the first field depends on the first measurement report, which means that the first measurement report is generated based on AI, and when the first node decodes the first signaling, it determines the size of the first signaling based on the fact that the first signaling includes the first field.

[0281] As an embodiment, the first measurement report is generated based on AI or not generated based on AI.

[0282] As an embodiment, the first measurement report is generated based on AI.

[0283] As an embodiment, the first measurement report is generated based on AI, which means that part or all of the content included in the first measurement report is generated by prediction.

[0284] As an embodiment, the first measurement report is generated based on AI, which means that part or all of the content included in the first measurement report is generated by inferring.

[0285] As an embodiment, the first measurement report is generated based on AI, which means that part or all of the content included in the first measurement report is generated through an AI model.

[0286] As an embodiment, the first measurement report is generated based on AI, which means that the first node predicts the content of the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0287] As an embodiment, the first measurement report is generated based on AI, which means that the first node predicts sending the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0288] As an embodiment, the first measurement report is generated based on AI, which means that the first node predicts the current measurement results of the first cell and the second cell through an AI model based on the previous measurement results of the first cell and the second cell, and then generates the first measurement report and sends the first measurement report.

[0289] As an embodiment, the first measurement report is generated based on AI, which means that the first node predicts the future measurement results of the first cell and the measurement results of the second cell through an AI model based on the current measurement results of the first cell and the measurement results of the second cell, thereby generating the first measurement report and sending the first measurement report.

[0290] As an embodiment, the first measurement report is generated based on AI, which means that the first measurement report includes the channel quality of the first cell and the channel quality of the second cell, and at least one of the channel quality of the first cell and the channel quality of the second cell is generated based on AI.

[0291] As an embodiment, the first measurement report is generated based on AI, which means that the first measurement report is triggered by a single event, and the event that triggers the first node to send the first measurement report is based on AI.

[0292] As an embodiment, the first measurement report is not generated based on AI.

[0293] As an embodiment, the first measurement report is not generated based on AI, which means that generation of the first measurement report depends on measurement results for the first cell and measurement results for the second cell, and does not depend on predictions of an AI model.

[0294] As an embodiment, the first measurement report is not generated based on AI, which means that triggering the sending of the first measurement report depends on the measurement results of the first cell and the measurement results of the second cell, and does not depend on the prediction of the AI ​​model.

[0295] As an embodiment, the first measurement report is not generated based on AI, which means that the first measurement report is triggered by a single event, and the event that triggers the first node to send the first measurement report is not based on AI.

[0296] As an embodiment, when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0297] As an embodiment, the unit of the transmission power value of the first signal is dBm (deciBel relative to one milliwatt).

[0298] As an embodiment, the unit of the transmission power value of the first signal is mW (milliWatt).

[0299] As an embodiment, the unit of the transmission power value of the first signal is W (Watt, watt).

[0300] As an embodiment, the first domain included in the first signaling determines the upper limit of the transmission power value of the first signal.

[0301] As an embodiment, the first domain included in the first signaling indicates an upper limit of the transmission power value of the first signal.

[0302] As an embodiment, the first field included in the first signaling indicates a method for determining the transmission power value of the first signal.

[0303] As an embodiment, the first field included in the first signaling indicates whether the transmission power value of the first signal is scaled.

[0304] Example 2

[0305] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.

[0306] Attached Figure 2 A network architecture 200 is illustrated. The network architecture 200 is a network architecture for LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced), 5G system, 5G-Advanced and future 6G system. The network architecture for LTE, LTE-A, 5G system, 5G-Advanced and future 6G system is referred to as EPS (Evolved Packet System). The 5G NR or LTE network architecture may be referred to as 5GS (5G System) / EPS or some other suitable term; the 6G network architecture may be referred to as 6GS (6G System) / EPS or some other suitable term. The network architecture 200 may include one or more UEs 201, a RAN (Next Generation Radio Access Network) 202, a core network 210, an HSS (Home Subscriber Server) / UDM (Unified Data Management) 220 and an Internet service 230. . The network architecture 200 can be interconnected with other access networks, but for simplicity these entities / interfaces are not shown. Figure 2As shown, the network architecture 200 provides packet switching services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application can be extended to networks that provide circuit switching services. RAN 202 includes Node B 203 and other nodes 204. Node 203 provides user and control plane protocol terminations toward UE 201. Node 203 can be connected to other nodes 204 via an Xn interface (e.g., backhaul). Node 203 may also be referred to as a base station, a base transceiver station, a wireless base station, a wireless transceiver, a transceiver function, a Basic Service Set (BSS), an Extended Service Set (ESS), a TRP (Transmitter Receiver Point), or some other suitable terminology. Node 203 provides an access point to a core network 210 for UE 201; the core network 210 is a 5GC (5G Core Network, 5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC. Examples of UE 201 include cellular phones, smart phones, Session Initiation Protocol (SIP) phones, laptop computers, Personal Digital Assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband physical network devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 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 some other suitable term. Node 203 is connected to core network 210 via an S1 / NG interface.The core network 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF 213. MME / AMF / SMF 211 is a control node that handles signaling between UE 201 and 5G-CN / EPC 210. In general, MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF 212, which itself is connected to P-GW / UPF 213. P-GW provides UE IP address allocation and other functions. P-GW / UPF 213 is connected to Internet service 230. Internet service 230 includes operator-specific Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and packet switching services.

[0307] As an embodiment, the first node in the present application includes the UE 201.

[0308] As an embodiment, the second node in the present application includes the node 203.

[0309] As an embodiment, the node 203 is a macro cell base station.

[0310] As an embodiment, the node 203 is a micro cell base station.

[0311] As an embodiment, the node 203 is a pico cell base station.

[0312] As an embodiment, the node 203 is a home base station (Femtocell).

[0313] As an embodiment, the node 203 is a base station device that supports a large delay difference.

[0314] As an embodiment, the node 203 is a flying platform device.

[0315] As an embodiment, the node 203 is a satellite device.

[0316] As an embodiment, the node 203 is a test device (eg, a transceiver device simulating some functions of a base station, a signaling tester).

[0317] As an embodiment, the UE 201 includes a mobile phone.

[0318] As an embodiment, the UE 201 is a vehicle including a car.

[0319] As an embodiment, the wireless link from the UE 201 to the node 203 is an uplink, and the uplink is used to perform uplink transmission.

[0320] As an embodiment, the wireless link from the node 203 to the UE 201 is a downlink, and the downlink is used to perform downlink transmission.

[0321] As an embodiment, the wireless link between the node 203 and the UE 201 includes a cellular network link.

[0322] As an embodiment, the node 203 and the UE 201 are connected via a Uu air interface.

[0323] As an embodiment, the sender of the first measurement report includes the UE 201.

[0324] As an embodiment, the receiver of the first measurement report includes the node 203.

[0325] As an embodiment, the sender of the first signaling includes the node 203.

[0326] As an embodiment, the recipient of the first signaling includes the UE 201.

[0327] As an embodiment, the sender of the first signal includes the UE 201.

[0328] As an embodiment, the receiver of the first signal includes the node 203.

[0329] As an embodiment, the receiver of the first signal includes the node 204.

[0330] As an embodiment, the sender of the second signaling includes the node 203.

[0331] As an embodiment, the recipient of the second signaling includes the UE 201.

[0332] As an embodiment, the sender of the first reference signal includes the node 203.

[0333] As an embodiment, the receiver of the first reference signal includes the UE 201.

[0334] As an embodiment, the sender of the second reference signal includes the node 203.

[0335] As an embodiment, the sender of the second reference signal includes the node 204.

[0336] As an embodiment, the receiver of the second reference signal includes the UE 201.

[0337] As an embodiment, the UE 201 supports generating reports using AI / ML.

[0338] As an embodiment, the UE 201 supports generating a trained model or partial parameters in the model using training data.

[0339] As an embodiment, the UE 201 supports measurement reporting based on AI / ML.

[0340] As an embodiment, the UE 201 supports measurement reporting based on NN (Neural Networks).

[0341] As an embodiment, the UE 201 supports measurement reporting based on ANN (Artificial Neural Networks).

[0342] As an embodiment, the UE 201 supports measurement reporting based on CNN (Convolutional Neural Networks).

[0343] As an embodiment, the UE 201 supports Transformer-based measurement reporting.

[0344] As an embodiment, the UE 201 supports measurement reporting based on LSTM (Long Short-Term Memory).

[0345] As an embodiment, the UE 201 supports measurement reporting based on MLP (MultiLayer Perceptron).

[0346] As an embodiment, the UE 201 supports measurement reporting based on GAN (Generative Adversarial Nets).

[0347] As an embodiment, the UE 201 supports measurement reporting based on a lightweight neural network.

[0348] As a sub-embodiment of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet and SqueezeNet.

[0349] As an embodiment, the UE 201 supports a 5G system.

[0350] As an embodiment, the node 203 supports a 5G system.

[0351] As an embodiment, the UE 201 at least supports the 6G system.

[0352] As an embodiment, the node 203 at least supports the 6G system.

[0353] Example 3

[0354] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown.

[0355] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The wireless protocol architecture of the control plane 300 for a first communication node device (RSU (Road Side Unit) in UE or V2X (Vehicle to Everything), vehicle-mounted device or vehicle-mounted communication module) and a second node device (gNB, RSU in UE or V2X, vehicle-mounted device or vehicle-mounted communication module), or between two UEs is presented in three layers: Layer 1 (Layer 1, L1), Layer 2 (Layer 2, L2) and Layer 3 (Layer 3, L3). L1 is the lowest layer and implements various PHY (PHYsical layer) signal processing functions. L1 will be referred to as PHY 301 in this article. L2 305 is above PHY 301 and is responsible for the link between the first node device and the second node device, or between two UEs through PHY 301. L2305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides inter-zone mobility support for the first communication node device between the second communication node device. 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 caused by HARQ (Hybrid Automatic Repeat reQuest). The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in L3 in the control plane 300 is responsible for obtaining radio resources (ie, radio bearers) and configuring lower layers using RRC signaling between the second communication node device and the first communication node device.The wireless protocol architecture of the user plane 350 includes layer 1 (L1) and layer 2 (L2). The wireless protocol architecture for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in L2 355, the RLC sublayer 353 in L2 355, and the MAC sublayer 352 in L2 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce wireless transmission overhead. The L2 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS (Quality of Service) flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above L2 355, including a network layer (e.g., IP (Internet Protocol) layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0356] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0357] As an example, Figure 3 The wireless protocol architecture in is applicable to the second node in this application.

[0358] As an embodiment, the first measurement report is generated in the RRC 306.

[0359] As an embodiment, the first signal is generated by the RRC 306.

[0360] As an embodiment, the first signal is generated by the PHY 301 or the PHY 351 .

[0361] As an embodiment, the first signaling is generated in the RRC 306.

[0362] As an embodiment, the first signaling is generated by the MAC 302 or the MAC 352.

[0363] As an embodiment, the first signaling is generated by the PHY 301 or the PHY 351.

[0364] As an embodiment, the second signaling is generated in the RRC 306.

[0365] As an embodiment, the higher layer mentioned in this application refers to a layer above the physical layer.

[0366] As an embodiment, the higher layer described in the present application includes a MAC layer.

[0367] As an embodiment, the higher layer described in the present application includes an RRC layer.

[0368] Example 4

[0369] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0370] The first 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 an antenna 420 .

[0371] The second 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 an antenna 452.

[0372] In transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of L2. In DL, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for L1 (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, as well as mapping of signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-PSK, M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding on the coded and modulated symbols, including codebook-based precoding and non-codebook-based precoding and beamforming processing, to generate one or more parallel streams. The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., pilot) in the time domain and / or frequency domain, and then uses an Inverse Fast Fourier Transform (IFFT) to generate a physical channel carrying a time domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to different antennas 420.

[0373] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of L1. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, where the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any parallel stream with the second communication device 450 as the destination. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of L2. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above L2. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using ACKnowledgement (ACK) and / or negative ACKnowledgement (Negative ACKnowledgement, NACK) protocols to support HARQ operations.

[0374] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above L2. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 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 symbol stream, and then provides it to the antenna 452.

[0375] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the reception function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of L1. The controller / processor 475 implements the L2 functions. The controller / processor 475 can be associated with a memory 476 storing program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0376] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 450 device sends a first measurement report in at least a first cell; receives a first signaling, and sends a first signal; the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes a first domain depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first domain, the transmission power value of the first signal depends on the first domain of the first signaling.

[0377] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: sending a first measurement report in a first cell; receiving a first signaling, and sending a first signal.

[0378] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The first communication device 410 device receives a first measurement report in at least a first cell; sends a first signaling, and receives a first signal; the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes a first domain depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first domain, the transmit power value of the first signal depends on the first domain of the first signaling.

[0379] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: receiving a first measurement report in a first cell; sending a first signaling, and receiving a first signal.

[0380] As an embodiment, the first node in the present application includes the second communication device 450.

[0381] As an embodiment, the second node in the present application includes the first communication device 410.

[0382] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to send a first measurement report in a first cell; and at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive a first measurement report in the first cell.

[0383] As an embodiment, at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send a first signaling; and at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive a first signaling.

[0384] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to send a first signal; and at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive a first signal.

[0385] As a sub-embodiment of this embodiment, the first communication device 410 manages the first cell of the present application and the second cell of the present application.

[0386] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to send a first signal; a communication device other than the first communication device 410 is used to receive the first signal, and a communication device other than the first communication device 410 manages the second cell.

[0387] As an embodiment, at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send a second signaling; and at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive a second signaling.

[0388] As an embodiment, at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send a first reference signal; and at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive a first reference signal.

[0389] As an embodiment, at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send a second reference signal; and at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive a second reference signal.

[0390] As a sub-embodiment of this embodiment, the first communication device 410 manages the first cell of the present application and the second cell of the present application.

[0391] As an embodiment, a communication device other than the first communication device 410 is used to send a second reference signal, the communication device other than the first communication device 410 manages the second cell, and at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the second reference signal.

[0392] Example 5

[0393] Embodiment 5 illustrates a first flow chart of transmission between a first node and a second node according to an embodiment of the present application, as shown in the attached Figure 5 As shown in the attached Figure 5In the embodiment, the first node U1 communicates with the second node N2 via a wireless link; the steps in blocks F51 and F52 are optional. It should be noted that the sequence in this embodiment does not limit the signal transmission sequence and implementation sequence in this application.

[0394] For the first node U1, the second signaling is received in step S5110; the first reference signal and the second reference signal are received in step S5120; the first measurement report is sent in the first cell in step S510; the first signaling is received in step S511; and the first signal is sent in step S512.

[0395] For the second node N2, a second signaling is sent in step S5210; a first reference signal and a second reference signal are sent in step S5220; a first measurement report is received in the first cell in step S520; a first signaling is sent in step S521; and a first signal is received in step S522.

[0396] In embodiment 5, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0397] As an embodiment, the first node U1 is the first node in this application.

[0398] As an embodiment, the second node N2 is the second node in this application.

[0399] As an embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between a base station device and a user equipment.

[0400] As an embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between a relay node device and a user equipment.

[0401] As an embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between user equipments.

[0402] As an embodiment, the air interface between the second node N2 and the first node U1 includes one or more of a wireless interface between a TRP and a user equipment, a wireless interface between a CU (Centralized Unit) and a user equipment, or a wireless interface between a DU (Distributed Unit) and a user equipment.

[0403] As an embodiment, the second node N2 and the first node U1 communicate with each other via a Uu interface.

[0404] As an embodiment, the second node N2 is a base station maintaining a service cell of the first node U1.

[0405] As an embodiment, the second node N2 is a maintaining base station of the first cell.

[0406] As an embodiment, the second node N2 is a maintaining base station of the second cell.

[0407] As an embodiment, the second node N2 is a base station maintaining the first cell and the second cell.

[0408] As an embodiment, the first cell and the second cell correspond to the same CU.

[0409] As an embodiment, the first cell and the second cell correspond to the same DU.

[0410] As an embodiment, the first cell and the second cell correspond to different DUs of the same base station.

[0411] As an embodiment, the first cell corresponds to a source MAC entity of the first node U1, and the second cell corresponds to a destination MAC entity of the first node U1.

[0412] As an embodiment, the first cell is the PCell of the first node U1, and the second cell is the SCell of the first node U1.

[0413] As a sub-embodiment of this embodiment, the first measurement report triggers a change of the PCell and SCell of the first node U1.

[0414] As an embodiment, the first cell is a source PCell of the first node U1, and the second cell is a destination PCell of the first node U1.

[0415] As a sub-embodiment of this embodiment, the first measurement report triggers a change in the PCell of the first node U1.

[0416] As an embodiment, the first cell is a source cell of a cell switch, and the second cell is a candidate cell of the cell switch.

[0417] As an embodiment, the first cell is an LTM source cell of the first node U1, and the second cell is an LTM candidate cell of the first node U1.

[0418] As an embodiment, the second cell corresponds to an LTM-CandidateId.

[0419] As an embodiment, the second cell is a service cell of the first node U1.

[0420] As an embodiment, the second cell is not a current serving cell of the first node U1.

[0421] As an embodiment, the first measurement report includes a Measurement Report.

[0422] As an embodiment, the first measurement report includes a MeasurementReport message.

[0423] As an embodiment, the first measurement report includes a MeasResults IE.

[0424] As an embodiment, the first signaling is transmitted on the first cell.

[0425] As an embodiment, the first node U1 receives the first signaling on the first cell.

[0426] As an embodiment, the first signaling includes an RRCReconfiguration message.

[0427] As an embodiment, the first signaling includes LTM candidate configuration.

[0428] As an embodiment, the first signaling includes LTM-Config IE.

[0429] As an embodiment, the first signaling includes an LTM-Config IE, the LTM-Config IE includes a first field, and the transmission power value of the first signal depends on the first field of the first signaling.

[0430] As an embodiment, the first signaling includes LTM-Candidate IE.

[0431] As an embodiment, the first signaling includes an LTM-Candidate IE, the LTM-Candidate IE includes the first field, and the transmission power value of the first signal depends on the first field.

[0432] As a sub-embodiment of this embodiment, the one LTM-Candidate IE indicates the PCI of the second cell.

[0433] As an embodiment, the first signaling includes N LTM-Candidate IEs, the N LTM-Candidate IEs respectively include N power indication domains, one of the N power indication domains is the first domain, and the transmission power value of the first signal depends on the first domain; N is a positive integer greater than 1.

[0434] As a sub-embodiment of this embodiment, each of the N LTM-Candidate IEs includes a power indication field.

[0435] As a sub-embodiment of this embodiment, the N LTM-Candidate IEs respectively indicate N PCIs, the N PCIs include the PCI of the second cell, and the LTM-Candidate IE indicating the PCI of the second cell includes the first field.

[0436] As an embodiment, the first signaling is carried by SRB1.

[0437] As an embodiment, the first signaling is carried by SRB3.

[0438] As an embodiment, the logical channel occupied by the first signaling includes DCCH.

[0439] As an embodiment, the first signal is transmitted on the second cell.

[0440] As an embodiment, the first node U1 sends the first signal on the second cell.

[0441] As an embodiment, the first signal is feedback for the first signaling.

[0442] As an embodiment, the first signal indicates that the first signaling is correctly received.

[0443] As an embodiment, the first signal includes an RRCReconfigurationComplete message.

[0444] As an embodiment, the first signal is carried by SRB1.

[0445] As an embodiment, the first signal is carried by SRB3.

[0446] As an embodiment, the logical channel occupied by the first signal includes DCCH.

[0447] As an embodiment, the transmission channel occupied by the first signal includes UL-SCH.

[0448] As an embodiment, the physical layer channel occupied by the first signal includes PUSCH.

[0449] As an embodiment, the first signal includes UCI (Uplink Control Information, uplink control information).

[0450] As an embodiment, the first signal includes HARQ (Hybrid Automatic Repeat reQuest)-ACK (ACKnowledgment).

[0451] As an embodiment, the physical layer channel occupied by the first signal includes PUCCH.

[0452] As an embodiment, the first signaling is dynamic signaling.

[0453] As an embodiment, the first signaling is physical layer signaling.

[0454] As an embodiment, the first signaling is layer 1 signaling.

[0455] As an embodiment, the first signaling initiates an uplink TA (Timing Advance) acquisition process.

[0456] As an embodiment, the second cell is configured with a higher layer parameter EarlyUlSyncConfig, and the first signaling initiates an early TA acquisition process.

[0457] As an embodiment, the first signaling triggers a CFRA (Contention-Free Random Access, contention-free random access) process.

[0458] As an embodiment, the first signaling is a PDCCH (Physical Downlink ControlCHannel) Order.

[0459] As an embodiment, the first signaling includes DCI.

[0460] As an embodiment, the DCI format corresponding to the first signaling is DCI format 1_0.

[0461] As an embodiment, the CRC (Cyclic redundancy check) included in the first signaling is scrambled by C (Cell)-RNTI (Radio Network Temporary Identifier).

[0462] As a sub-embodiment of this embodiment, the C-RNTI is the C-RNTI of the first cell.

[0463] As an embodiment, the FDRA (Frequency Domain Resource Assignment) field included in the first signaling is all 1s.

[0464] As an embodiment, the second cell is configured with a higher layer parameter EarlyUlSyncConfig, and the Cell indicator field included in the first signaling indicates the second cell.

[0465] As an embodiment, the first signaling includes the first domain, the first domain included in the first signaling includes a first sub-domain and a second sub-domain, the first sub-domain is the SS / PBCH index domain, and the second sub-domain indicates whether the first signal depends on a reference signal other than the reference signal indicated by the SS / PBCH index domain.

[0466] As an embodiment, the physical layer channel occupied by the first signaling includes PDCCH.

[0467] As an embodiment, the transmission of the first signal depends on the first signaling.

[0468] As an embodiment, the transmission of the first signal is a response of the first node U1 to receiving the first signaling.

[0469] As an embodiment, in response to receiving the first signaling, the first node U1 sends the first signal.

[0470] As an embodiment, the first signal is used to acquire uplink synchronization.

[0471] As an embodiment, the first signal is used to acquire uplink synchronization with the second cell.

[0472] As an embodiment, the first signal is used to establish time alignment.

[0473] As an embodiment, the first signal is used for LTM.

[0474] As an embodiment, the first signal is used for early TA acquisition.

[0475] As an embodiment, the first signal is generated by a pseudo-random sequence.

[0476] As an embodiment, the first signal includes a ZC sequence (Zadoff-Chu sequence).

[0477] As an embodiment, the first signal is generated by a ZC sequence.

[0478] As an embodiment, the first signal is generated by a preamble sequence.

[0479] As an embodiment, the first signal includes a preamble.

[0480] As an embodiment, the first signal includes only one preamble.

[0481] As an embodiment, the preamble included in the first signal is allocated by the second node N2.

[0482] As an embodiment, the preamble included in the first signal is indicated by the second node N2.

[0483] As an embodiment, the first signal includes Msg1 (message 1).

[0484] As an example, Msg1 in the present application refers to Massage 1 or Msg 1 or MSG1.

[0485] As an embodiment, the first signal includes RACH.

[0486] As an embodiment, the first signal includes PRACH.

[0487] As an embodiment, the transmission channel occupied by the first signal includes RACH.

[0488] As an embodiment, the physical layer channel occupied by the first signal includes PRACH.

[0489] As an embodiment, the first measurement report is an L1 Measurement Report instance.

[0490] As an embodiment, the first measurement report includes an L1 Measurement Report (layer 1 measurement report).

[0491] As an embodiment, the first signaling instructs the first node to perform cell switching to the second cell.

[0492] As an embodiment, the first signaling is MAC layer signaling.

[0493] As an embodiment, the first signaling includes MAC CE.

[0494] As an embodiment, the first signaling includes LTM Cell switch command MAC CE.

[0495] As an embodiment, the first signaling includes the first field, the first field includes a bit, and the one bit indicates whether the transmission power value of the first signal depends on the first cell.

[0496] As an embodiment, the first signaling includes the first field, the first field includes multiple bits, and one bit indicates whether the transmission power value of the first signal depends on the power offset.

[0497] As an embodiment, the first signaling does not include the first field, and the bits of the first field are set to zero or set to a reserved value.

[0498] As an embodiment, the transmission channel occupied by the first signaling includes DL-SCH.

[0499] As an embodiment, the physical layer channel occupied by the first signaling includes PDSCH (Physical Downlink Shared CHannel, physical downlink shared channel).

[0500] As an embodiment, the step S511 is after the step S510; the step S521 is after the step S520.

[0501] As an embodiment, step S512 is after step S511; step S522 is after step S521.

[0502] As an example, Figure 5 The box 52 exists; the method applied to the first node in the present application includes: receiving a first reference signal and a second reference signal; the channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0503] As an embodiment, the first reference signal is sent in the first cell.

[0504] As an embodiment, the second reference signal is sent in the second cell.

[0505] As an embodiment, the first reference signal includes CSI-RS (channel state Information-Reference Signal).

[0506] As an embodiment, the first reference signal includes SSB.

[0507] As an embodiment, the second reference signal includes CSI-RS.

[0508] As an embodiment, the second reference signal includes SSB.

[0509] As an embodiment, the SSB described in this application refers to: Synchronization Signal Block.

[0510] As an embodiment, the SSB described in this application refers to: SS (Synchronization Signal) / PBCH (Physical Broadcast Channel) block, synchronization signal / physical broadcast channel block.

[0511] Typically, the reception timings of the PBCH, PSS (Primary Synchronization Signal) and SSS (Secondary Synchronization Signal) are in consecutive symbols and form an SS / PBCH block.

[0512] As an embodiment, the channel quality of the first cell is obtained by measuring the first reference signal.

[0513] As an embodiment, the channel quality of the second cell is obtained by measuring the second reference signal.

[0514] As an embodiment, when the channel quality of the first cell is generated based on AI, the input of the AI ​​model reasoning stage includes the first reference signal, and the output includes part or all of the channel quality of the first cell.

[0515] As an embodiment, when the channel quality of the second cell is generated based on AI, the input of the AI ​​model reasoning stage includes the second reference signal, and the output includes part or all of the channel quality of the second cell.

[0516] As an embodiment, the first measurement report is triggered by an event, and the event includes that the channel quality of the second cell is better than the channel quality of the first cell.

[0517] As an embodiment, the first measurement report indicates that the channel quality of the second cell is better than the channel quality of the first cell.

[0518] As an embodiment, the first measurement report is generated based on AI, and the output of the AI ​​includes an indication that the channel quality of the second cell is better than the channel quality of the first cell.

[0519] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the RSRP of the second cell is greater than the RSRP of the first cell.

[0520] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the RSRQ of the second cell is greater than the RSRQ of the first cell.

[0521] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the SINR of the second cell is greater than the SINR of the first cell.

[0522] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the sum of the RSRP of the second cell and a given offset value is greater than the RSRP of the first cell.

[0523] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the sum of the RSRQ of the second cell and a given offset value is greater than the RSRQ of the first cell.

[0524] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the sum of the SINR of the second cell and a given offset value is greater than the SINR of the first cell.

[0525] As an embodiment, the channel quality of the second cell is better than the channel quality of the first cell, which means that the second cell becomes better than the first cell taking into account the offset, and the offset includes at least one of a measurement-specific offset, a cell-specific offset, and an offset parameter for a given Event.

[0526] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the second cell corresponds to a neighboring cell, the first cell corresponds to a SpCell, and the neighboring cell and the SpCell satisfy Event A3.

[0527] As an embodiment, the channel quality of the second cell is better than the channel quality of the first cell, which means that the first cell is worse than a first threshold and the second cell is better than a second threshold.

[0528] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the second cell corresponds to a neighboring cell, the first cell corresponds to a SpCell, and the neighboring cell and the SpCell satisfy Event A5.

[0529] As an embodiment, the channel quality of the second cell is better than the channel quality of the first cell, which means that the second cell is better than the first cell taking the offset into consideration.

[0530] As an embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes: the second cell corresponds to a neighboring cell, the first cell corresponds to an SCell, and the neighboring cell and the SCell satisfy Event A6.

[0531] As an example, Figure 5 The box 52 exists, the step S5120 is before the step S510; the step S5220 is before the step S520.

[0532] As an example, Figure 5 The box 51 exists; the method applied to the first node in the present application includes: receiving a second signaling, the second signaling configuring the measurement object and the measurement time for the first cell and the second cell respectively; obtaining at least one channel measurement value for the first cell by measuring the measurement object of the first cell during the measurement time, and obtaining at least one channel measurement value for the second cell by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or the at least one channel measurement value for the second cell is used to generate the first measurement report.

[0533] As an embodiment, the second signaling includes higher layer signaling.

[0534] As an embodiment, the second signaling includes RRC signaling.

[0535] As an embodiment, the second signaling includes one or more fields in an RRC IE.

[0536] As an embodiment, the second signaling includes multiple RRC IEs.

[0537] As an embodiment, the second signaling includes one or more fields of each RRC IE in multiple RRC IEs.

[0538] As an embodiment, the second signaling includes one or more fields in the MeasurementReport IE.

[0539] As an embodiment, the second signaling includes one or more fields in the MeasConfig IE.

[0540] As an embodiment, the second signaling includes one or more fields in the MeasObjectEUTRA IE.

[0541] As an embodiment, the second signaling includes one or more fields in the MeasObjectNR IE.

[0542] As an embodiment, the second signaling includes one or more fields in the MeasWindowConfig IE.

[0543] As an embodiment, the unit of the measurement time is millisecond (ms).

[0544] As an embodiment, the unit of the measurement time is a time slot.

[0545] As an embodiment, the unit of the measurement time is a subframe.

[0546] As an embodiment, the measurement time is periodic.

[0547] As an embodiment, the measurement time is continuous.

[0548] As an embodiment, the measurement time is continuous within a cycle.

[0549] As an embodiment, the measurement object for the first cell is transmitted on the first cell.

[0550] As an embodiment, the measurement object for the first cell includes a reference signal transmitted in a reference signal resource, and the reference signal resource is at least one of a CSI-RS resource and an SSB.

[0551] As an embodiment, the measurement object for the first cell includes a reference signal, and the reference signal is at least one of a CSI-RS and an SSB.

[0552] As an embodiment, the measurement object for the first cell includes a reference signal received by the first node on the first cell, and the received reference signal is at least one of a CSI-RS and an SSB.

[0553] As an embodiment, the measurement object for the first cell includes a reference signal generated by the first node, and the generated reference signal includes at least one of CSI-RS, SSB, and SRS.

[0554] As an embodiment, the measurement object for the first cell includes DMRS (DeModulation Reference Signal).

[0555] As an embodiment, the measurement object for the first cell includes the first reference signal.

[0556] As an embodiment, the measurement object for the second cell is transmitted on the second cell.

[0557] As an embodiment, the measurement object for the second cell includes a reference signal transmitted in a reference signal resource, and the reference signal resource is at least one of a CSI-RS resource and an SSB.

[0558] As an embodiment, the measurement object for the second cell includes a reference signal, and the reference signal is at least one of a CSI-RS and an SSB.

[0559] As an embodiment, the measurement object for the second cell includes a reference signal received by the first node on the second cell, and the received reference signal is at least one of a CSI-RS and an SSB.

[0560] As an embodiment, the measurement object for the second cell includes a reference signal generated by the first node, and the generated reference signal includes at least one of CSI-RS, SSB, and SRS.

[0561] As an embodiment, the measurement object for the second cell includes DMRS.

[0562] As an embodiment, the measurement object for the first cell includes the second reference signal.

[0563] As an embodiment, when the first measurement report is generated based on AI, the input of the AI ​​model for generating the first measurement report includes at least one of the channel measurement values ​​for the first cell or at least one of the channel measurement values ​​for the second cell.

[0564] As an example, Figure 5 The box 51 exists, the step S5110 is before the step S510; the step S5210 is before the step S520.

[0565] As an example, Figure 5 The steps in box 51 and box 52 both exist, and step S5110 is before step S5120; step S5210 is before step S5220.

[0566] As an example, Figure 5 Both the steps in box 51 and the steps in box 52 exist, and the steps in box 51 are before the steps in box 52.

[0567] Example 6

[0568] Embodiment 6 illustrates a second flow chart of transmission between a first node and a second node according to an embodiment of the present application, as shown in the attached figure. Figure 5 As shown in the attached Figure 6In the embodiment, the first node U3 communicates with the second node N4 via a wireless link, and the first node U3 communicates with the third node N5 via a wireless link; the steps in blocks F61 and F62 are optional. It is particularly noted that the order in this embodiment does not limit the signal transmission order and implementation order in this application.

[0569] For the first node U3, the second signaling is received in step S6310; the first reference signal and the second reference signal are received in step S6320; the first measurement report is sent in the first cell in step S630; the first signaling is received in step S631; and the first signal is sent in step S632.

[0570] For the second node N4, a second signaling is sent in step S6410; a first reference signal is sent in step S6420; a first measurement report is received in the first cell in step S640; and a first signaling is sent in step S641.

[0571] For the third node N5, a second reference signal is sent in step S6520; and a first signal is received in step S650.

[0572] In embodiment 6, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0573] As an embodiment, the first node U3 is the first node in this application.

[0574] As an embodiment, the second node N4 is the second node in this application.

[0575] As an embodiment, the second node in the present application includes the second node N4 and the third node N5.

[0576] As an embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between a base station device and a user equipment.

[0577] As an embodiment, the air interface between the third node N5 and the first node U3 includes a wireless interface between a base station device and a user equipment.

[0578] As an embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between a relay node device and a user equipment.

[0579] As an embodiment, the air interface between the third node N5 and the first node U3 includes a wireless interface between a relay node device and a user equipment.

[0580] As an embodiment, the air interface between the second node N4 and the first node U3 includes a wireless interface between user equipments.

[0581] As an embodiment, the air interface between the third node N5 and the first node U3 includes a wireless interface between user equipments.

[0582] As an embodiment, the air interface between the second node N4 and the first node U3 includes one or more of a wireless interface between a TRP and a user equipment, a wireless interface between a CU and a user equipment, or a wireless interface between a DU and a user equipment.

[0583] As an embodiment, the air interface between the third node N5 and the first node U3 includes one or more of a wireless interface between TRP and the user equipment, a wireless interface between CU and the user equipment, or a wireless interface between DU and the user equipment.

[0584] As an embodiment, the second node N4 and the first node U3 communicate with each other via a Uu interface.

[0585] As an embodiment, the third node N5 and the first node U3 communicate with each other via a Uu interface.

[0586] As an embodiment, the second node N4 is a maintaining base station of the first cell.

[0587] As an embodiment, the third node N5 is a maintaining base station of the second cell.

[0588] As an embodiment, the second node N4 is a serving base station of the first cell.

[0589] As an embodiment, the second node N4 is a serving base station of the second cell.

[0590] As an embodiment, the second node N4 and the third node N5 are two different base stations.

[0591] As an embodiment, the second node N4 and the third node N5 are different DUs of the same base station.

[0592] As an embodiment, the second node N4 and the third node N5 are two different TRPs of the same DU.

[0593] As an embodiment, the second node N4 and the third node N5 are quasi-co-located.

[0594] As an embodiment, the second node N4 and the third node N5 are not quasi-co-located.

[0595] As an embodiment, the first cell corresponds to the source base station of the first node.

[0596] As an embodiment, the first cell corresponds to the source gNB of the first node.

[0597] As an embodiment, the second cell corresponds to the destination base station of the first node.

[0598] As an embodiment, the second cell corresponds to the target gNB of the first node.

[0599] As an embodiment, the first measurement report includes a Measurement Report.

[0600] As an embodiment, the first measurement report includes a MeasurementReport message.

[0601] As an embodiment, the first measurement report includes a MeasResults IE.

[0602] As an embodiment, the first signaling is transmitted on the first cell.

[0603] As an embodiment, the first node U1 receives the first signaling on the first cell.

[0604] As an embodiment, the first signaling triggers a handover of the Uu port.

[0605] As an embodiment, the first signaling includes an RRCReconfiguration message.

[0606] As an embodiment, the first node U3 does not read the system information of the second cell before accessing the second cell (without reading system information).

[0607] As an embodiment, the first signaling includes information required to access the second cell.

[0608] As an embodiment, the first signaling indicates the cell ID of the second cell.

[0609] As an embodiment, the ID described in this application refers to at least one of IDentification, IDentity, IDentifier and Index.

[0610] As an embodiment, the first signaling indicates the C-RNTI of the second cell.

[0611] As an embodiment, the first signaling indicates security algorithm identifiers (security algorithm identifiers) of the security algorithm selected by the third node N5.

[0612] As an embodiment, the first signaling indicates access to common RACH resources (commonRACH resources) of the second cell.

[0613] As an embodiment, the first signaling indicates access to dedicated RACH resources (dedicated RACH resources) of the second cell.

[0614] As an embodiment, the first signaling indicates system information of the second cell.

[0615] As an embodiment, the first signaling is carried by SRB1.

[0616] As an embodiment, the first signaling is carried by SRB3.

[0617] As an embodiment, the logical channel occupied by the first signaling includes DCCH.

[0618] As an embodiment, the first signal is transmitted on the second cell.

[0619] As an embodiment, the first node U3 sends the first signal on the second cell.

[0620] As an embodiment, the first signal is feedback for the first signaling.

[0621] As an embodiment, the first signal indicates that the first signaling is correctly received.

[0622] As an embodiment, the first signal includes an RRCReconfigurationComplete message.

[0623] As an embodiment, the first signal is carried by SRB1.

[0624] As an embodiment, the first signal is carried by SRB3.

[0625] As an embodiment, the logical channel occupied by the first signal includes DCCH.

[0626] As an embodiment, the transmission channel occupied by the first signal includes UL-SCH.

[0627] As an embodiment, the physical layer channel occupied by the first signal includes PUSCH.

[0628] As an embodiment, the physical layer channel occupied by the first signal includes PUCCH.

[0629] As an embodiment, the step S631 is after the step S630; the step S641 is after the step S640.

[0630] As an embodiment, step S632 is performed after step S631.

[0631] As an example, Figure 6 The box 62 exists; the method applied to the first node in the present application includes: receiving a first reference signal and a second reference signal; the channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0632] As an example, Figure 6 The box 62 exists; the step S6320 is attached Figure 5 The step S5120 in the box F52.

[0633] As an example, Figure 6 In the box 62, step S6320 exists, step S630 is before step S6420 is before step S640, and step S6520 is before step S650.

[0634] As an example, Figure 6 The box 62 exists; the step S6420 is before the step S6520.

[0635] As an example, Figure 6 The box 62 exists; the step S6420 is after the step S6520.

[0636] As an example, Figure 6The box 61 exists; the method applied to the first node in the present application includes: receiving a second signaling, the second signaling configuring the measurement object and the measurement time for the first cell and the second cell respectively; obtaining at least one channel measurement value for the first cell by measuring the measurement object of the first cell during the measurement time, and obtaining at least one channel measurement value for the second cell by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or the at least one channel measurement value for the second cell is used to generate the first measurement report.

[0637] As an example, Figure 6 The box 61 is attached Figure 5 The steps in box 51 described in.

[0638] As an example, Figure 6 The box 61 exists, the step S6310 is before the step S630; the step S6410 is before the step S640.

[0639] As an example, Figure 6 The steps in box 61 and box F62 exist simultaneously, the step S6310 is before the step S6320; the step S6410 is before the step S6420.

[0640] Example 7

[0641] Embodiment 7 illustrates a first schematic diagram of a first field included in a first signaling according to an embodiment of the present application, as shown in the attached figure. Figure 7 As shown in the attached Figure 7 In the embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time.

[0642] In Embodiment 7, the first path loss and the second path loss are for the first cell and the second cell respectively.

[0643] As an embodiment, the first path loss (PathLoss, PL) is the downlink path loss of the first cell; the second path loss is the downlink path loss of the second cell.

[0644] As an embodiment, the units of the first path loss and the second path loss are both dB (deciBel, decibel).

[0645] As an embodiment, the first path loss is estimated by the first node.

[0646] As an embodiment, the second path loss is estimated by the first node.

[0647] As an embodiment, the first node obtains the first path loss by measuring a third reference signal, and the third reference signal is transmitted on the first cell. The first node obtains the second path loss by measuring a fourth reference signal, and the fourth reference signal is transmitted on the second cell; the third reference signal is one of CSI-RS or SSB; the fourth reference signal is one of CSI-RS or SSB.

[0648] As an embodiment, the first measurement report is generated based on AI, and the first signaling includes the first domain.

[0649] As an embodiment, the content included in the first measurement report is used to determine that the first signaling includes the first domain.

[0650] As an embodiment, the first field included in the first signaling indicates that the transmission power value of the first signal depends on both the first path loss and the second path loss.

[0651] As a sub-embodiment of this embodiment, the transmit power value of the first signal depends on the larger one of the first path loss and the second path loss.

[0652] As a sub-embodiment of this embodiment, the transmit power value of the first signal depends on the smaller one of the first path loss and the second path loss.

[0653] As a sub-embodiment of this embodiment, the transmit power value of the first signal depends on a weighted average of the first path loss and the second path loss.

[0654] As a sub-embodiment of this embodiment, the transmit power value of the first signal depends on the sum of the first path loss and the second path loss.

[0655] As a sub-embodiment of this embodiment, the sending power value of the first signal depends on the smaller value of a first maximum power value and a first target power value, the first target power value is the smaller value of a first power value and a second power value, the first power value depends on the first path loss, and the second power value depends on the second path loss.

[0656] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is equal to the smaller value between the first maximum power value and the first target power value.

[0657] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is not greater than the smaller value between the first maximum power value and the first target power value.

[0658] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is a smaller value among the first maximum power value, the first target power value and the second maximum power value, and the second maximum power value is fixed or configurable.

[0659] As a subsidiary embodiment of this sub-embodiment, the first power value is linearly correlated with the first path loss.

[0660] As a subsidiary embodiment of this sub-embodiment, the first power value and the product of the first path loss and the first coefficient are linearly correlated.

[0661] As a subsidiary embodiment of this sub-embodiment, the first power value refers to an uplink transmission power value determined when the first node sends the first signal in the first cell.

[0662] As a subsidiary embodiment of this sub-embodiment, the second power value is linearly correlated with the second path loss.

[0663] As a subsidiary embodiment of this sub-embodiment, the second power value and the product of the second path loss and the second coefficient are linearly correlated.

[0664] As a subsidiary embodiment of this sub-embodiment, the second power value refers to an uplink transmission power value determined when the first node sends the first signal in the second cell.

[0665] As an embodiment, the first field included in the first signaling indicates that the transmission power value of the first signal depends on only one path loss.

[0666] As a sub-embodiment of this embodiment, the one path loss is the second path loss.

[0667] As an embodiment, the first field included in the first signaling indicates that the transmit power value of the first signal depends on only the second path loss of the first path loss and the second path loss.

[0668] As a sub-embodiment of this embodiment, the transmission power value of the first signal depends on a smaller value between a first maximum power value and a third power value, and the third power value depends on the second path loss.

[0669] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is not greater than the smaller value between the first maximum power value and the third power value.

[0670] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is equal to the smaller value between the first maximum power value and the third power value.

[0671] As a subsidiary embodiment of this sub-embodiment, the transmission power value of the first signal is a smaller value among the first maximum power value, the third power value and the third maximum power value, and the third maximum power value is fixed or configurable.

[0672] As a subsidiary embodiment of this sub-embodiment, the third power value is linearly correlated with the second path loss.

[0673] As a subsidiary embodiment of this sub-embodiment, the third power value is linearly correlated with the product of the second path loss and the second coefficient.

[0674] As a subsidiary embodiment of this sub-embodiment, the third power value refers to an uplink transmission power value determined when the first node sends the first signal in the second cell.

[0675] As an embodiment, in the present application, the first maximum power value is related to the capability of the first node.

[0676] As an embodiment, in the present application, the first maximum power value is related to the Category of the first node.

[0677] As an embodiment, the first maximum power value in the present application is the maximum transmission power value of the first node.

[0678] As an embodiment, the first maximum power value in the present application is the maximum output power (maximum output power) configured by the first node.

[0679] As an embodiment, the first maximum power value in the present application is for transmission opportunity i.

[0680] As an embodiment, the first maximum power value in this application is P CMAX,f,c (i), wherein f represents the carrier occupied by the first signal, and i represents the uplink transmission opportunity occupied by the first signal.

[0681] As an embodiment, the first maximum power value in the present application depends on P in the 3GPP (3rd Generation Partner Project) protocol. CMAX .

[0682] As an embodiment, the first maximum power value in the present application is P in the 3GPP specification protocol. CMAX .

[0683] As an embodiment, the first node sends the first signal in the i-th PUSCH opportunity, and the first power value in the present application is equal to

[0684] Wherein, c represents the first cell, b represents the BWP activated by the first cell, f represents a carrier, j represents a parameter set configuration index, μ represents the subcarrier spacing of the first signal, and q d represents the reference signal index of the activated downlink BWP, wherein l represents the PUSCH power control adjustment state index; O_PUSCH,b,f,c (j) is the expected power value of the first signal, the P O_PUDCH,b,f,c (j) depending on the expected power value of the first cell and the expected power value of the first node; is the resource bandwidth allocated to the first signal, Expressed in RB number; the α b,f,c (j) is the path loss compensation coefficient; the PL b,f,c (q d ) is the first path loss, and the unit of the first path loss is expressed in dB; the Δ TF,b,f,c (i) depends on the transmission format (TF) of the first signal; b,f,c (i,l) is the power adjustment state.

[0685] As an embodiment, the first node sends the first signal in the i-th PUCCH opportunity, and the first power value in the present application is equal to

[0686] Wherein, c represents the first cell, b represents the BWP activated by the first cell, f represents the carrier, j represents the parameter set configuration index, μ represents the subcarrier spacing of the first signal, and q d represents the reference signal index of the downlink BWP to be activated, wherein l represents the PUCCH power control adjustment state index; O_PUCCH,b,f,c (j) is the expected power value of the first signal, the P O_PUCCHbfc (j) depending on the expected power value of the first cell and the expected power value of the first node; is the resource bandwidth allocated to the first signal, Expressed in RB number; the α b,f,c (j) is the path loss compensation coefficient; the PL b,f,c (q d ) is the first path loss, and the unit of the first path loss is expressed in dB; the Δ F_PUCCH (F) a PUCCH format (PUCCHformat) dependent on the first signal transmission; the Δ TF,b,f,c (i) is the PUCCH transmission power adjustment component; b,f,c (i,l) is the power adjustment state.

[0687] As an embodiment, the first signal is PRACH, and the first power value in the present application is equal to P PRACH,target,f,c +PL b,f,c ;

[0688] Wherein, c represents the first cell, b represents the BWP activated by the first cell, and f represents a carrier; PRACH,target,f,c is the PRACH target received power, the P PRACH,target,f,c Provided by the higher layer parameter PREAMBLE_RECEIVED_TARGET_POWER; the PL b,f,c is the first path loss, and the unit of the first path loss is expressed in dB.

[0689] As an embodiment, the first node sends the first signal in the i-th PUSCH opportunity, and the second power value in the present application is equal to

[0690] Wherein, c represents the second cell, b represents the BWP activated by the second cell, f represents the carrier, j represents the parameter set configuration index, μ represents the subcarrier spacing of the first signal, and q d represents the reference signal index of the downlink BWP to be activated, wherein l represents the PUSCH power control adjustment state index; O_PUSCH,b,f,c (j) is the expected power value of the first signal, the P O_PUSCH,b,f,c (j) depending on the expected power value of the second cell and the expected power value of the first node; is the resource bandwidth allocated to the first signal, Expressed in RB number; the α b,f,c (j) is the path loss compensation coefficient; the PL b,f,c (q d ) is the second path loss, and the unit of the second path loss is expressed in dB; the Δ TF,b,f,c(i) depends on the transmission format of the first signal; b,f,c (i,l) is the power adjustment state.

[0691] As an embodiment, the first node sends the first signal in the i-th PUCCH opportunity, and the second power value in the present application is equal to

[0692] Wherein, c represents the second cell, b represents the BWP activated by the second cell, f represents the carrier, j represents the parameter set configuration index, μ represents the subcarrier spacing of the first signal, and q d represents the reference signal index of the downlink BWP to be activated, wherein l represents the PUCCH power control adjustment state index; O_PUCCH,b,f,c (j) is the expected power value of the first signal, the P O_PUCCH,b,f,c (j) depending on the expected power value of the second cell and the expected power value of the first node; is the resource bandwidth allocated to the first signal, Expressed in RB number; the α b,f,c (j) is the path loss compensation coefficient; the PL b,f,c (q d ) is the second path loss, and the unit of the second path loss is expressed in dB; the Δ F_PUCCH (F) a PUCCH format dependent on the first signal transmission; the Δ TF,b,f,c (i) is the PUCCH transmission power adjustment component; b,f,c (i,l) is the power adjustment state.

[0693] As an embodiment, the first signal is PRACH, and the second power value in this application is equal to P PRACH,target,f,c +PL b,f,c ;

[0694] Wherein, c represents the second cell, b represents the BWP activated by the second cell, and f represents a carrier; PRACH,target,f,c is the PRACH target received power, the P PRACH,target,f,c Provided by the higher layer parameter PREAMBLE_RECEIVED_TARGET_POWER; the PL b,f,c is the second path loss, and the unit of the second path loss is dB.

[0695] As an embodiment, the second power value in the present application is the third power value in the present application.

[0696] Example 8

[0697] Embodiment 8 illustrates a second schematic diagram of the first field included in the first signaling according to an embodiment of the present application, as shown in the attached figure. Figure 8 As shown in the attached Figure 8 In the embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates a first value.

[0698] In Embodiment 8, the transmission power value of the first signal depends on the first numerical value.

[0699] As an embodiment, the transmit power value of the first signal depends on the first value and the second path loss in the present application.

[0700] As an embodiment, the first value is a power offset value.

[0701] As an embodiment, the unit of the first value is dB.

[0702] As an embodiment, the first signaling is an RRC message, and the first signaling configures the first value.

[0703] As a sub-embodiment of this embodiment, the first value is configured to the first node.

[0704] As a sub-embodiment of this embodiment, the first value is configured for the second cell.

[0705] As a sub-embodiment of this embodiment, the first value is configured to the second reference signal in this application.

[0706] As a sub-embodiment of this embodiment, the first value is configured to the reference signal resource to which the second reference signal in this application belongs.

[0707] As a sub-embodiment of this embodiment, the first value is configured to the reference signal resource set to which the second reference signal in this application belongs.

[0708] As an embodiment, the first signaling is MAC CE or DCI, and the first field included in the first signaling indicates the first value.

[0709] As a sub-embodiment of this embodiment, the code point of the first field included in the first signaling indicates the first numerical value.

[0710] As a sub-embodiment of this embodiment, a higher layer configures a power offset value set, the first field included in the first signaling indicates the first numerical value from the numerical value set; the power offset value set includes at least one power offset value; the power offset value set is configured to the first node, or the power offset value set is configured to the second cell.

[0711] As an embodiment, the transmission power value of the first signal depends on the first numerical value and the third power value in the present application.

[0712] As an embodiment, the transmission power value of the first signal is not greater than the sum of the first value and the third power value in this application.

[0713] As an embodiment, the transmission power value of the first signal is equal to the sum of the first value and the third power value in the present application.

[0714] As an embodiment, the transmission power value of the first signal is not greater than the difference between the third power value in the present application and the first value.

[0715] As an embodiment, the transmission power value of the first signal is equal to the difference between the third power value in the present application and the first value.

[0716] As an embodiment, the first value is a scale value.

[0717] As an embodiment, the first numerical value is a number between 0 and 1.

[0718] As an embodiment, the first value is equal to 1.

[0719] As an embodiment, the first signaling is an RRC message, the first signaling configures the first value, the first value is configured to the first node, or the first value is configured to the second cell.

[0720] As an embodiment, the first signaling is MAC CE or DCI, a higher layer configures a proportional coefficient set, the first field included in the first signaling indicates the first value from the proportional coefficient set; the proportional coefficient set includes at least one proportional coefficient; the proportional coefficient set is configured to the first node, or the proportional coefficient set is configured to the second cell.

[0721] As an embodiment, the transmission power value of the first signal is not greater than the product of the third power value in the present application and the first value.

[0722] As an embodiment, the transmission power value of the first signal is equal to the product of the third power value in the present application and the first value.

[0723] Example 9

[0724] Embodiment 9 illustrates a schematic diagram of RAN domain AI / ML function deployment according to an embodiment of the present application, as shown in the attached Fig. 9 As shown in the attached Fig. 9 In this case, gNB can be replaced by network equipment such as eNB or 6G base station.

[0725] In Embodiment 9, the management of the ML reasoning functions of multiple base stations is completed by the RAN domain management function 902, that is, data interaction with the RAN domain MnS (Management Service) consumer / cross-domain management 901 (see attached Fig. 9 ). The RAN domain ML training function 903 is located in the RAN domain management function 902; and the ML reasoning function is located in the base station, that is, the AI / ML reasoning function 904 is located in the gNB 905, the AI / ML reasoning function 906 is located in the gNB 907, and so on.

[0726] AI / ML related functions include ML training function (also called AI training, or AI / ML training), ML testing function, ML inference function (also called AI inference, or AI / ML inference), etc. ML training function, ML testing function, and ML inference function can be deployed independently or co-located. The deployment of AI / ML related functions can be implemented through software, such as downloading and / or running executable files; it can also be implemented through a combination of software and hardware, such as accelerating specific computing units through hardware to increase computing speed or save power consumption.

[0727] For ML training functions, they can be deployed in a cross-domain management system or a domain-specific management system; the domain-specific management system is used to manage the RAN domain or the CN (Core Network) domain. For example, the ML training function for MDA (Management Data Analytics) can be deployed in MDAF (Management Data Analytic Function); ML training for network data analysis can be deployed in NWDAF (Network Data Analytics Function), that is, the ML training function is MTLF (Model Training Logical Function).

[0728] The ML reasoning function can also be deployed in a cross-domain management system or a domain-specific management system; for example, the ML reasoning function is MDAF, or the ML reasoning function is AnLF (Analytics Logical Function) located in NWDAF.

[0729] Similarly, ML testing capabilities can also be deployed in cross-domain management systems, or domain-specific management systems.

[0730] Optionally, the management of the ML reasoning function may also be performed by the base station itself, that is, each base station may independently interact with the RAN domain MnS consumer / cross-domain management 901 for data.

[0731] It should be noted that Example 9 is merely a non-restrictive implementation; optionally, the ML training function of the RAN domain may also be deployed in the base station; or optionally, some base stations deploy the ML reasoning function and the ML training function of the RAN domain, while some base stations only deploy the ML reasoning function.

[0732] As an embodiment, a gNB (or base station) in Embodiment 9 is the second node of the present application.

[0733] Example 10

[0734] Embodiment 10 illustrates a schematic diagram of the AI / ML function deployment of a UE according to an embodiment of the present application, as shown in the attached Fig.10 As shown in the attached Fig.10 In the example, the RAN domain ML training function 1004 is optional.

[0735] The UE function 1003 is deployed in the first node of the present application, and the UE function 1003 includes an AI / ML reasoning function 1005; the AI / ML reasoning function 1005 uses an ML model (also called an AI model) for reasoning; an ML model is usually trained before being used for AI / ML reasoning.

[0736] As an embodiment, the UE function 1003 includes a RAN domain ML training function 1004, and the RAN domain ML training function 1004 runs the training data through the ML model to derive relevant losses, and adjusts the parameters of the ML model based on the calculated losses; the ML training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0737] The above embodiments can reduce the complexity of the base station, or save air interface resources caused by reporting training data; however, the above embodiments place high demands on the processing capability of the UE side.

[0738] Optionally, the UE function 1003 also includes a CN domain ML training function ( Fig.10 not included).

[0739] Optionally, the UE function 1003 further includes an AI / ML deployment function: Fig.10 Not included, used to load ML models and data.

[0740] As an embodiment, the first node indicates whether the ML training function is supported (RAN domain or CN domain) through capability reporting, and the capability reporting is RRC signaling, or NAS (Non-Access Stratum) signaling.

[0741] As an embodiment, the ML model and related metadata are loaded by the first node from a network device or a remote server.

[0742] Optionally, the UE function 1003 is an MnS producer, providing data to the CN domain MnF (Management Function) and / or the RAN domain MnF and / or the cross-domain management system 1001 for management or analysis (as shown by the double arrow 1002).

[0743] Optionally, the UE function 1003 is an MnS consumer, loading data from the CN domain MnF and / or the RAN domain MnF and / or the cross-domain management system 1001 for AI / ML related management, such as management data requests, ML model activation, and / or ML training, etc. (as shown by the double arrow 1002).

[0744] As an embodiment, the first measurement report is generated based on AI, and the first measurement report in this application is obtained through reasoning of the AI / ML reasoning function 1005.

[0745] As an embodiment, the ML model is NN-based.

[0746] As an embodiment, the ML model is based on ANN.

[0747] As an embodiment, the ML model is based on CNN.

[0748] As an embodiment, the ML model is based on the Transformer architecture.

[0749] As an embodiment, the ML model is based on LSTM.

[0750] As an embodiment, the ML model is based on MLP.

[0751] As an embodiment, the ML model is based on GAN.

[0752] As an embodiment, the ML model is based on a lightweight neural network.

[0753] As a sub-embodiment of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet and SqueezeNet.

[0754] Embodiment 11

[0755] Embodiment 11 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application, as shown in the attached Fig.11 As shown in the attached Fig.11 In the invention, the processing system based on artificial intelligence or machine learning includes a first processor, a second processor, a third processor and a fourth processor.

[0756] In Example 11, the first processor sends a first data set to the second processor, and sends a second data set to the third processor; the second processor generates a target first-category parameter group based on the first data set, and the second processor sends the generated target first-category parameter group to the third processor; the third processor processes the second data set using the target first-category parameter group to obtain a first-category output, and optionally, the third processor sends the first-category output to the fourth processor. Fig.11 In the embodiment, the first type of feedback and the second type of feedback are optional; the second processor includes ML training function; and the third processor includes ML reasoning function.

[0757] As an embodiment, the fourth processor includes ML testing functionality.

[0758] As an embodiment, the fourth processor includes performance monitoring / evaluation of the ML model.

[0759] As an embodiment, the third processor sends the first type of feedback to the second processor; the first type of feedback is used to trigger recalculation or updating of the target first type parameter group, that is, triggering ML initial training or ML retraining.

[0760] As an embodiment, the fourth processor sends a second type of feedback to the first processor; the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the sending of the second data set.

[0761] As an embodiment, the first processor generates the first data set and the second data set based on measurement of a reference signal.

[0762] As an embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0763] As an embodiment, the first data set includes training data.

[0764] As an embodiment, the second processor is used to train an ML model, and the trained model is described by the target first-category parameter group.

[0765] As an embodiment, the second processor belongs to the first node; the above method avoids transferring the first data set to the second node.

[0766] As an embodiment, the second processor belongs to the second node; the above method supports joint training and optimizes system performance.

[0767] As an embodiment, the second processor belongs to the core network; the above method supports joint training of the entire network, further optimizing system performance.

[0768] As an embodiment, the second data set includes inference data.

[0769] As an embodiment, the first measurement report is generated based on AI, and the second data set includes the first reference signal.

[0770] As an embodiment, the first measurement report is generated based on AI, and the second data set includes the second reference signal.

[0771] As an embodiment, the first measurement report is generated based on AI, and the third processor belongs to the first node.

[0772] As an embodiment, the third processing machine constructs a model according to the target first-category parameter group, and then inputs the second data set into the constructed model to obtain the first-category output.

[0773] As an embodiment, the first measurement report is generated based on AI, and the first type of output includes the channel quality of the first cell.

[0774] As an embodiment, the first measurement report is generated based on AI, and the first type of output includes the channel quality of the second cell.

[0775] As an embodiment, the first measurement report is generated based on AI, and the first type of output includes channel quality of the first cell and the second cell.

[0776] As an embodiment, the first measurement report is generated based on AI, and the first type of output includes the first measurement report.

[0777] As an embodiment, the first measurement report is generated based on AI, and the first type of output triggers the first node to send the first measurement report.

[0778] As an embodiment, the first measurement report is generated based on AI, and the first measurement report includes part or all of the first type of output.

[0779] As an embodiment, the first measurement report is generated based on AI, and whether the first node sends the first measurement report depends on the first type of output.

[0780] As an embodiment, the third processing machine generates a restored data set according to the first type of output, and an error between the restored data set and the second data set is used to generate the first type of feedback.

[0781] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second processor will recalculate the target first type parameter group.

[0782] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.

[0783] As an embodiment, the target first-category parameter group includes: a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or one or more parameters of an activation function.

[0784] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.

[0785] Example 12

[0786] Embodiment 12 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application, as shown in the attached Fig.12 As shown in the attached Fig.12 In the embodiment, the first operation and the second operation belong to the first stage, the third operation belongs to the second stage, the fourth operation belongs to the third stage, and the fifth operation belongs to the fourth stage; the lines with arrows indicate the order of the process.

[0787] As an embodiment, the first operation includes AI / ML training, the second operation includes AI / ML testing, the third operation includes AI / ML emulation, the fourth operation includes AI / ML entity loading, and the fifth operation includes AI / ML inference.

[0788] As an embodiment, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an inference phase.

[0789] As an embodiment, the first stage includes AI / ML model training.

[0790] As an embodiment, the first stage includes AI / ML model training and AI / ML testing.

[0791] As an embodiment, the AI / ML model training includes initial training and re-training of one or a group of AI / ML entities.

[0792] As an embodiment, the AI / ML model training relies on training data.

[0793] As an embodiment, the AI / ML model training includes AI / ML entity validation.

[0794] As an embodiment, the AI / ML entity verification is used to evaluate the performance of the AI / ML entity.

[0795] As an embodiment, the AI / ML entity verification relies on verification data.

[0796] As an example, if the result of AI / ML entity verification does not meet expectations, the AI / ML model will be retrained.

[0797] As an embodiment, the AI / ML testing includes testing the verified AI / ML entity to estimate the performance of the trained AI / ML model.

[0798] As an example, if the result of the AI / ML test meets expectations, the AI / ML entity proceeds to the next stage; otherwise the AI / ML model will be retrained.

[0799] As an embodiment, the AI / ML testing relies on test data.

[0800] As an embodiment, the second stage includes AI / ML simulation, which performs reasoning of AI / ML entities in a simulation environment.

[0801] As an embodiment, the AI / ML simulation estimates the performance of AI / ML entity reasoning in a simulation environment before using the AI / ML entity.

[0802] As an embodiment, the second stage is optional.

[0803] As an embodiment, the third stage includes AI / ML entity loading, and the AI / ML entity loading is to obtain the trained AI / ML entity to obtain the desired AI / ML reasoning function.

[0804] As an embodiment, the third stage is optional.

[0805] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[0806] As an embodiment, the fourth stage includes AI / ML reasoning.

[0807] As an embodiment, the first measurement report is generated based on AI, and part or all of the first measurement report is generated in the fourth stage.

[0808] Example 13

[0809] Embodiment 13 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application, as shown in the attached figure. Fig.13 As shown in the attached Fig.13 In the embodiment, the processing device 1300 in the first node includes a first receiver 1301 and a first transmitter 1302.

[0810] In Embodiment 13, the first transmitter 1302 sends a first measurement report in a first cell; the first receiver 1301 receives a first signaling; and the first transmitter 1302 sends a first signal.

[0811] In Example 13, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0812] As an embodiment, when the first measurement report is generated based on AI, the first signaling includes the first domain; when the first measurement report is not generated based on AI, the first signaling does not include the first domain.

[0813] As an embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are for the first cell and the second cell respectively.

[0814] As an embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates a first numerical value, and the transmission power value of the first signal depends on the first numerical value.

[0815] As an embodiment, the first receiver 1301 receives a first reference signal and a second reference signal; the channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0816] As an embodiment, the first signaling is one of an RRCReconfiguration message or an LTM Cellswitch command MAC CE.

[0817] As an embodiment, the first receiver 1301 receives a second signaling, and the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; obtains at least one channel measurement value for the first cell by measuring the measurement object of the first cell during the measurement time, and obtains at least one channel measurement value for the second cell by measuring the measurement object of the second cell during the measurement time; when the generation method of the first measurement report is based on AI generation, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

[0818] As an embodiment, the first transmitter 1302 sends the first signal on the second cell.

[0819] As an embodiment, the physical layer channel occupied by the first signal is PUSCH.

[0820] As an embodiment, the physical layer channel occupied by the first signal is PUCCH.

[0821] As an embodiment, the physical layer channel occupied by the first signal is PRACH.

[0822] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the content of the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0823] As an embodiment, the first measurement report is generated based on AI, and the first node predicts sending the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0824] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the current measurement results of the first cell and the measurement results of the second cell through an AI model based on the previous measurement results of the first cell and the measurement results of the second cell, thereby generating the first measurement report and sending the first measurement report.

[0825] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the future measurement results of the first cell and the measurement results of the second cell through an AI model based on the current measurement results of the first cell and the measurement results of the second cell, thereby generating the first measurement report and sending the first measurement report.

[0826] As an embodiment, the first node is user equipment.

[0827] As an embodiment, the first node is a relay node device.

[0828] As an embodiment, the first receiver 1301 includes at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} in Example 4.

[0829] As an embodiment, the first transmitter 1302 includes at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} in Embodiment 4.

[0830] Embodiment 14

[0831] Embodiment 14 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application, as shown in the attached figure. Fig.14 As shown in the attached Fig.14 In the embodiment, the processing device 1400 in the second node includes a second transmitter 1401 and a second receiver 1402.

[0832] In Embodiment 14, the second receiver 1402 receives a first measurement report in a first cell; the second transmitter 1401 sends a first signaling; and the second receiver 1402 receives a first signal.

[0833] In Example 14, the first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

[0834] As an embodiment, when the first measurement report is generated based on AI, the first signaling includes the first domain; when the first measurement report is not generated based on AI, the first signaling does not include the first domain.

[0835] As an embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are for the first cell and the second cell respectively.

[0836] As an embodiment, the first signaling includes the first field, and the first field included in the first signaling indicates a first numerical value, and the transmission power value of the first signal depends on the first numerical value.

[0837] As an embodiment, the second transmitter 1401 sends a first reference signal and a second reference signal; the channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0838] As an embodiment, the first signaling is one of an RRCReconfiguration message or an LTM Cellswitch command MAC CE.

[0839] As an embodiment, the second transmitter 1401 sends a second signaling, and the second signaling configures the measurement object and measurement time for the first cell and the second cell respectively; obtains at least one channel measurement value for the first cell by measuring the measurement object of the first cell during the measurement time, and obtains at least one channel measurement value for the second cell by measuring the measurement object of the second cell during the measurement time; when the generation method of the first measurement report is based on AI generation, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

[0840] As an embodiment, the second receiver 1402 receives the first signal on the second cell.

[0841] As an embodiment, the second node is a base station maintaining the first cell and the second cell.

[0842] As an embodiment, the second node is associated with a plurality of cells, and the plurality of cells include the first cell and the second cell.

[0843] As an embodiment, the second node manages the first cell and the second cell.

[0844] As an embodiment, the physical layer channel occupied by the first signal is PUSCH.

[0845] As an embodiment, the physical layer channel occupied by the first signal is PUCCH.

[0846] As an embodiment, the physical layer channel occupied by the first signal is PRACH.

[0847] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the content of the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0848] As an embodiment, the first measurement report is generated based on AI, and the first node predicts sending the first measurement report through an AI model according to the measurement results, and sends the first measurement report.

[0849] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the current measurement results of the first cell and the measurement results of the second cell through an AI model based on the previous measurement results of the first cell and the measurement results of the second cell, thereby generating the first measurement report and sending the first measurement report.

[0850] As an embodiment, the first measurement report is generated based on AI, and the first node predicts the future measurement results of the first cell and the measurement results of the second cell through an AI model based on the current measurement results of the first cell and the measurement results of the second cell, thereby generating the first measurement report and sending the first measurement report.

[0851] As an embodiment, the second node is a base station device.

[0852] As an embodiment, the second node is user equipment.

[0853] As an embodiment, the second node is a TRP.

[0854] As an embodiment, the second transmitter 1401 includes at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} in Embodiment 4.

[0855] As an embodiment, the second receiver 1402 includes at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476} in Embodiment 4.

[0856] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment, transportation tools, vehicles, RSUs, wireless sensors, Internet cards, Internet of Things terminals, RFID (Radio Frequency Identification, Radio Frequency Identification Technology) terminals, NB-IoT (Narrow Band Internet of Things, Narrow Band Internet of Things) terminals, MTC (Machine Type Communication, Machine Type Communication) terminals, eMTC (enhanced MTC, enhanced MTC) terminals, data cards, Internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system equipment in this application include but are not limited to macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNB (evolved Node B), gNB, TRP, GNSS (Global Navigation Satellite System), relay satellites, satellite base stations, aerial base stations, RSU, drones, test equipment, such as transceivers that simulate some functions of base stations or signaling testers and other wireless communication equipment.

[0857] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.

Claims

1. A method for a terminal in wireless communication and artificial intelligence, characterized in that: include: Sending a first measurement report in a first cell; receiving a first signal and sending a first signal; The first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

2. The method according to claim 1, characterized in that When the first measurement report is generated based on AI, the first signaling includes the first field; when the first measurement report is not generated based on AI, the first signaling does not include the first field.

3. The method according to claim 1 or 2, characterized in that: The first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are for the first cell and the second cell respectively.

4. The method according to claim 1 or 2, characterized in that: The first signaling includes the first field, the first field included in the first signaling indicates a first value, and the transmission power value of the first signal depends on the first value.

5. The method according to any one of claims 1 to 4, characterized in that: include: receiving a first reference signal and a second reference signal; The channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

6. The method according to any one of claims 1 to 5, characterized in that: The first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

7. The method according to any one of claims 1 to 6, characterized in that: include: receiving second signaling, wherein the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; Among them, at least one channel measurement value for the first cell is obtained by measuring the measurement object of the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

8. A terminal, characterized in that: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 7.

9. A method for a base station in wireless communication and artificial intelligence, characterized in that: include: receiving a first measurement report in a first cell; Sending a first signal and receiving a first signal; The first measurement report includes at least one of the channel quality of the first cell or the channel quality of the second cell; the first signaling is a response to the first measurement report; the first signal is for the second cell; whether the first signaling includes the first field depends on the first measurement report; the first measurement report is generated based on AI or not; when the first signaling includes the first field, the transmission power value of the first signal depends on the first field of the first signaling.

10. The method according to claim 9, characterized in that When the first measurement report is generated based on AI, the first signaling includes the first field; when the first measurement report is not generated based on AI, the first signaling does not include the first field.

11. The method according to claim 9 or 10, characterized in that: The first signaling includes the first field, and the first field included in the first signaling indicates whether the transmission power value of the first signal depends on the first path loss and the second path loss at the same time; the first path loss and the second path loss are for the first cell and the second cell respectively.

12. The method according to claim 9 or 10, characterized in that: The first signaling includes the first field, the first field included in the first signaling indicates a first value, and the transmission power value of the first signal depends on the first value.

13. The method according to any one of claims 9 to 12, characterized in that include: sending a first reference signal and a second reference signal; The channel quality of the first cell depends on the reception of the first reference signal, and the channel quality of the second cell depends on the reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

14. The method according to any one of claims 9 to 13, characterized in that The first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

15. The method according to any one of claims 9 to 14, characterized in that include: Sending a second signaling, wherein the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; Among them, at least one channel measurement value for the first cell is obtained by measuring the measurement object of the first cell during the measurement time, and at least one channel measurement value for the second cell is obtained by measuring the measurement object of the second cell during the measurement time; when the first measurement report is generated based on AI, at least one of the at least one channel measurement value for the first cell or at least one channel measurement value for the second cell is used to generate the first measurement report.

16. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 9 to 15.

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