Method and apparatus used in node for wireless communication and artificial intelligence

Abstract

The present application discloses a method and apparatus used in a node for wireless communication and artificial intelligence (AI). The method comprises: a first node sending a first measurement report in a first cell; and then receiving first signaling, and sending a first signal. The first measurement report comprises at least one of channel quality of the first cell or channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is generated on the basis of AI or is not generated on the basis of AI; and when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling. The present application supports the fusion of AI and communication, improving the efficiency and reliability of communication systems, and enhancing the adaptability of communication systems under different channel characteristics.

Description

A method and apparatus in a node for wireless communication and artificial intelligence

[0001] The present application claims priority from the Chinese patent application No. 202410733617.8 filed on June 6, 2024, and entitled "A method and apparatus in a node for wireless communication and artificial intelligence", the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] The present application relates to a signal transmission method and apparatus in a wireless communication system, and in particular to a mobility management method and apparatus. BACKGROUND

[0003] The application scenarios of future wireless communication systems are increasingly 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 communication. The main application scenarios include network automation, optimizing resource allocation, and improving service continuity for mobile users, etc.

[0004] Mobility of user equipment (UE) is an important feature of wireless networks. In order to further enhance the mobility performance of the UE, the L1 (Layer 1) / L2 (Layer 2) triggered mobility (L1 / L2 Triggered Mobility, LTM) introduced in 3GPP Rel-18 (Release-18) is an important research direction to reduce latency, overhead and interruption time. Rel-19 will further study the support of inter-cell handover (HO) across centralized units (Centralized Unit, CU), and explore the feasibility of using AI / ML for beam prediction and UE mobility prediction.

[0005] Further, AI / ML can achieve load balancing and energy saving by analyzing and predicting resource state information such as physical resource block utilization of neighboring cells and serving cells, number of active UEs, etc.; in addition, AI / ML can also optimize wireless resource management strategies by predicting the moving trajectory of UEs, so that the network can allocate resources and make handover decisions according to the expected moving path of UEs. AI / ML-based mobility management not only helps to improve the accuracy and efficiency of handover, but also reduces the handover interruption time and improves user experience. In the future, 3GPP will further deepen the application of AI / ML in mobility management, promote the deep integration of AI / ML and communication networks, and improve the intelligent level of the network, optimize mobility management, and improve spectrum and energy efficiency, to provide more stable and efficient mobile communication services for users. SUMMARY

[0006] In the NR (New Radio) system, network-controlled mobility can be applied to UEs in the RRC_CONNECTED state; specifically, the network configures the UE with measurement parameters and reporting parameters through higher layer signaling, the RRC_CONNECTED UE performs measurement according to the measurement configuration, and sends a measurement report when the conditions are met, and the base station receives the measurement report and decides whether to hand over the UE to other cells based on the measurement report; in the AI / ML scenario, the AI / ML model can predict the moving path of the UE through massive data, helping the base station to make better resource allocation and handover decisions, so the enhancement of AI / ML-based mobility management is a problem worth studying.

[0007] To solve the above problems, a solution is disclosed in the present application. It should be noted that in the description of the above problems, the NR system is taken as an example, and the present application is also applicable to scenarios such as future 6G systems, achieving similar technical effects 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, a unified design scheme for different scenarios (such as other non-AI / ML scenarios, including but not limited to Vehicle to Everything (V2X), capacity enhancement systems, near-communication systems, NTN (Non Terrestrial Network), IoT (Internet of Things), URLLC (Ultra Reliable Low Latency Communication) networks, etc.) can also help to reduce hardware complexity and cost. In the case of no conflict, the embodiments in any node of the present application and the features in the embodiments can be applied to any other node. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0008] In particular, the explanation of the terminology, nouns, functions, and variables in the present application (if not specially stated) can refer to the definitions in TS38 series and TS37 series in the technical standards (Technical Specification, TS) of 3GPP (the 3rd Generation Partnership Project). If necessary, TS38.211, TS38.212, TS38.213, TS38.214, TS38.215, TS38.300, TS38.304, TS38.305, TS38.321, TS38.331, TS37.355, TS38.423 in the 3GPP technical standards can be referred to for the understanding of the present application.

[0009] As an embodiment, the explanation of the terminology in the present application is based on the definition of the specification agreement TS38 series of 3GPP.

[0010] As an embodiment, the explanation of the terminology in the present application is based on the definition of the specification agreement TS37 series of 3GPP.

[0011] As an embodiment, the explanation of the terminology in the present application is based on the definition of the specification agreement TS40 series of 3GPP.

[0012] As an embodiment, the interpretation of the terms in this application is referred to the definitions in the 3GPP specification protocol TS 38 series.

[0013] As an embodiment, the interpretation of the terms in this application is referred to the definitions in the 3GPP specification protocol Rel-17 version.

[0014] As an embodiment, the interpretation of the terms in this application is referred to the definitions in the 3GPP specification protocol Rel-18 version.

[0015] As an embodiment, the interpretation of the terms in this application is referred to the definitions in the 3GPP specification protocol Rel-19 version.

[0016] As an embodiment, the interpretation of the terms in this application is referred to the definitions in the 3GPP specification protocol Rel-20 version.

[0017] The present application discloses a method for a first node in wireless communication and artificial intelligence, comprising:

[0018] sending a first measurement report in a first cell;

[0019] receiving a first signaling and sending a first signal;

[0020] wherein the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0021] As an embodiment, the problem to be solved by the present application includes: how the first node determines the transmission power value of the first signal in the AI / ML scenario.

[0022] As an embodiment, the problem to be solved by the present application includes: power control in the AI / ML scenario.

[0023] As an embodiment, the problem to be solved by the present application includes: how to determine the transmission power value of the signal sent to the destination cell in AI / ML-based mobility management.

[0024] 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 domain of the first signaling, thereby solving the above problem.

[0025] As an embodiment, the method has the feature that the first node is a terminal.

[0026] As an embodiment, the method has the feature that the first cell is a source cell of the first node, and the second cell is a target cell of the first node.

[0027] As an embodiment, the method has the feature that the generation manner of the first measurement report includes whether the channel quality included in the first measurement report is generated based on AI.

[0028] As an embodiment, the method has the feature that the application is applicable to mobility management in RRC_CONNECTED.

[0029] As an embodiment, the method has the benefit that the application supports the application of AI / ML in mobility management, promotes the deep integration of AI / ML and communication networks, improves the intelligent level of the network, optimizes mobility management, improves spectrum and energy efficiency, and provides more stable and efficient mobile communication services for users.

[0030] As an embodiment, the method has the benefit that the power control of uplink wireless signals is enhanced, and the reliable transmission of signals is ensured while reducing the power consumption of terminals.

[0031] As an embodiment, the method has the benefit that the mobility support of signals is improved, and the service quality of the system is improved.

[0032] As an embodiment, the method has the benefit that the measurement report is generated based on AI, which is beneficial to predict the change of channel quality in advance, reduce the probability of beam failure or connection interruption, optimize the wireless resource management strategy, and enable the network to make resource allocation and handover decisions according to the expected movement path of the UE.

[0033] According to an aspect of the application, the method has the feature that when the first measurement report is generated based on AI, the first signaling includes the first field; and when the first measurement report is not generated based on AI, the first signaling does not include the first field.

[0034] As an embodiment, the method has the feature that the base station decides whether to limit the uplink transmission power of the UE when sending signals to the target cell when handing over the UE according to whether the first measurement report is generated based on AI.

[0035] As an embodiment, the method has the feature that when the first measurement report is generated based on AI, the first signaling directly indicates whether to limit the uplink transmission power of the UE when sending signals to the target cell through the first field.

[0036] As an embodiment, the above method has the benefit of facilitating the deep integration of mobile communication networks and AI.

[0037] As an embodiment, the above method has the benefit of improving system performance, efficiency and reliability of the communication system.

[0038] As an embodiment, the above method has the benefit of achieving a balance between reducing signal interference and improving cell coverage.

[0039] According to an 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.

[0040] As an embodiment, the above method has the benefit of facilitating the deep integration of mobile communication networks and AI.

[0041] As an embodiment, the above method has the benefit of improving system performance, efficiency and reliability of the communication system.

[0042] As an embodiment, the above method has the benefit of achieving a balance between reducing signal interference and improving cell coverage.

[0043] As an embodiment, the above method has the benefit of ensuring the stability of the handover or LTM process, reducing the probability of communication interruption due to handover failure.

[0044] According to an 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 a first value, and the transmission power value of the first signal depends on the first value.

[0045] As an embodiment, the above method has the benefit of facilitating the deep integration of mobile communication networks and AI.

[0046] As an embodiment, the above method has the benefit of improving system performance, efficiency and reliability of the communication system.

[0047] As an embodiment, the benefits of the above method include: obtaining 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 target cell UE.

[0048] 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 caused by handover failure.

[0049] According to an aspect of the present application, the above method is characterized by comprising:

[0050] receiving a first reference signal and a second reference signal;

[0051] wherein 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.

[0052] As an embodiment, the problem to be solved in the present application includes: how to determine the channel quality of the first cell and the second channel quality of the second cell.

[0053] As an embodiment, the features 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.

[0054] As an embodiment, the features of the above method include: when the channel quality of the first cell is generated based on AI, the input of the AI model inference 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 inference stage includes the second reference signal, and the output includes part or all of the channel quality of the second cell.

[0055] As an embodiment, the features of the above method include: the first measurement report is event triggered, and the event includes that the channel quality of the second cell is better than the channel quality of the first cell.

[0056] As an embodiment, the features 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.

[0057] As an embodiment, the method has the feature that the first measurement report is generated based on an AI, and an 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.

[0058] As an embodiment, the method has the benefit of being compatible with mobility management in the current RRC_CONNECTED state, and having small changes to the current standard.

[0059] According to an aspect of the present application, the method has the feature that the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0060] As an embodiment, the method has the feature that the first signaling configures an LTM and initiates LTM preparation.

[0061] As an embodiment, the method has the feature that the first signaling includes an LTM candidate configuration.

[0062] As an embodiment, the method has the feature that the first signaling triggers a handover of a Uu interface.

[0063] As an embodiment, the method has the benefit of being applicable to mobility management in the RRC_CONNECTED state, and being conducive to improving signal mobility support and improving the service quality of the system.

[0064] As an embodiment, the method has the benefit of being applicable to an LTM, and having the advantages of reducing latency, overhead, and interruption time.

[0065] According to an aspect of the present application, the method has the feature that it includes:

[0066] receiving second signaling that configures measurement objects and measurement times for the first cell and the second cell, respectively;

[0067] wherein at least one channel measurement value for the first cell is obtained through measurement of the measurement objects for the first cell in the measurement times, and at least one channel measurement value for the second cell is obtained through measurement of the measurement objects for the second cell in the measurement times; when the first measurement report is generated based on an 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.

[0068] As an embodiment, the method has the feature that when the first measurement report is AI-based, the content of the first measurement report is AI-based.

[0069] As an embodiment, the method has the feature that 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.

[0070] As an embodiment, the method has the feature that the input of the AI model that generates 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.

[0071] As an embodiment, the method has the benefit of reducing the impact of ping-pong effect during cell switching.

[0072] As an embodiment, the method has the benefit of promoting the integration of AI and mobile networks while reducing the impact on current standards.

[0073] According to an aspect of the present application, the method has the feature that the first node is a terminal.

[0074] According to an aspect of the present application, the method has the feature that the first node has AI / ML capability.

[0075] According to an aspect of the present application, the method has the feature that the first node supports AI / ML-based measurement reporting.

[0076] According to an aspect of the present application, the method has the feature that the first node supports AI / ML-based mobility management.

[0077] The present application discloses a method in a second node for wireless communication and artificial intelligence, comprising:

[0078] receiving a first measurement report in a first cell;

[0079] sending a first signaling and receiving a first signal;

[0080] wherein the first measurement report includes at least one of channel quality of the first cell or channel quality of a 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 AI-based or not AI-based; 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.

[0081] As an embodiment, the method further includes that the second node is a base station.

[0082] According to an aspect of the present application, the method further includes that the first signaling includes the first field when the first measurement report is generated based on AI; and the first signaling does not include the first field when the first measurement report is not generated based on AI.

[0083] According to an aspect of the present application, the method further includes 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 a first path loss and a second path loss simultaneously; the first path loss and the second path loss are respectively for the first cell and the second cell.

[0084] According to an aspect of the present application, the method further includes that the first signaling includes the first field, and 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.

[0085] According to an aspect of the present application, the method further includes that the first signaling includes the first field, and 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.

[0086] transmitting a first reference signal and a second reference signal;

[0087] wherein the channel quality of the first cell depends on reception of the first reference signal, and the channel quality of the second cell depends on reception of the second reference signal; and the channel quality of the second cell is better than the channel quality of the first cell.

[0088] According to an aspect of the present application, the method further includes that the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0089] According to an aspect of the present application, the method further includes that the first signaling includes the first field, and 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.

[0090] transmitting a second signaling, the second signaling configuring a measurement object and a measurement time for the first cell and the second cell respectively;

[0091] 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 when the first measurement report is generated based on AI.

[0092] According to an aspect of the present application, the above method is characterized in that the second node is a base station.

[0093] According to an aspect of the present application, the above method is characterized in that the second node is associated to a plurality of cells, the plurality of cells including the first cell and the second cell.

[0094] According to an aspect of the present application, the above method is characterized in that the second node manages the first cell and the second cell.

[0095] According to an aspect of the present application, the above method is characterized in that the first signal is received in the second cell.

[0096] According to an aspect of the present application, the above method is characterized in that the second reference signal is transmitted in the second cell.

[0097] The present application discloses a first node for wireless communication and artificial intelligence, comprising:

[0098] a first transmitter, transmitting a first measurement report in a first cell;

[0099] a first receiver, receiving a first signaling;

[0100] the first transmitter, transmitting a first signal;

[0101] The first measurement report includes at least one of a channel quality of the first cell or a channel quality of a 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 based on AI; when the first signaling includes the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0102] The present application discloses a second node for wireless communication and artificial intelligence, comprising:

[0103] a second receiver configured to receive a first measurement report in a first cell;

[0104] a second transmitter configured to transmit a first signaling;

[0105] the second receiver configured to receive a first signal;

[0106] wherein the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0107] As an embodiment, compared with the conventional scheme, the present application has the following advantages which are not limited to:

[0108] The present application supports the application of AI / ML in mobility management, promotes the deep integration of AI / ML and communication network, improves the intelligent level of the network, optimizes the mobility management, improves the spectrum and energy efficiency, and provides more stable and efficient mobile communication services for users;

[0109] It is beneficial to improve the mobility support of signals and improve the service quality of the system;

[0110] Enhance the power control of uplink wireless signals, ensure reliable signal transmission while reducing terminal power consumption. BRIEF DESCRIPTION OF DRAWINGS

[0111] Other features, objects and advantages of the present application will become more apparent from the following detailed description of non-limiting embodiments with reference to the attached drawings:

[0112] FIG. 1 shows a flowchart of a first node transmission according to an embodiment of the present application;

[0113] FIG. 2 shows a schematic diagram of a network architecture according to an embodiment of the present application;

[0114] FIG. 3 shows 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;

[0115] FIG. 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application;

[0116] FIG. 5 shows a first flowchart of a transmission between a first node and a second node according to an embodiment of the present application;

[0117] Figure 6 shows a second flow chart of transmissions between a first node and a second node according to an embodiment of the present application;

[0118] Figure 7 shows a first diagram of a first domain included in first signaling according to an embodiment of the present application;

[0119] Figure 8 shows a second diagram of a first domain included in first signaling according to an embodiment of the present application;

[0120] Figure 9 shows a diagram of AI / ML function deployment for a RAN according to an embodiment of the present application;

[0121] Figure 10 shows a diagram of AI / ML function deployment for a UE according to an embodiment of the present application;

[0122] Figure 11 shows a diagram of an AI / ML based processing system according to an embodiment of the present application;

[0123] Figure 12 shows a diagram of an AI / ML based processing system according to an embodiment of the present application;

[0124] Figure 13 shows a structural block diagram of a processing apparatus in a first node according to an embodiment of the present application;

[0125] Figure 14 shows a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application. DETAILED DESCRIPTION

[0126] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to flexibly combine the embodiments in different drawings without conflict, including but not limited to the embodiments in Figure 1 and the embodiments in Figures 5-14, the embodiments in Figure 5 and the embodiments in Figures 6-14, etc.

[0127] Embodiment 1

[0128] Embodiment 1 shows a flow chart of transmissions by a first node according to an embodiment of the present application, as shown in Figure 1. In Figure 1, each block represents a step. In particular, the order of steps in the blocks does not represent a specific time sequence between the steps.

[0129] The first node transmits a first measurement report in a first cell in step 101; receives first signaling and transmits a first signal in step 102.

[0130] In embodiment 1, the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a second cell; the first signaling is a response to the first measurement report; the first signal is directed to the second cell; whether the first signaling comprises a first domain depends on the first measurement report; the first measurement report is AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0131] As one embodiment, the first node is the first node in the present application.

[0132] As one embodiment, the AI refers to Artificial Intelligence.

[0133] As one embodiment, the AI comprises Machine Learning.

[0134] As one embodiment, the AI comprises Deep Learning.

[0135] As one embodiment, the receiving the first signaling and the transmitting the first signal in the step 102 are separately performed.

[0136] As one embodiment, the receiving the first signaling and the transmitting the first signal in the step 102 are respectively performed in two orthogonal time domain resources.

[0137] As one sub-embodiment of this embodiment, the two orthogonal time domain resources are two orthogonal time slots.

[0138] As one sub-embodiment of this embodiment, the two orthogonal time domain resources are two orthogonal sets of OFDM symbols.

[0139] As one embodiment, the step 102 of the first node comprises a step 102A and a step 102B, the first node receives the first signaling in the step 102A, and then transmits the first signal in the step 102B.

[0140] As one embodiment, the first node transmits the first measurement report in the first cell.

[0141] As one embodiment, the first measurement report is carried by a baseband signal.

[0142] As one embodiment, the first measurement report is carried by a radio frequency signal.

[0143] As one embodiment, the first measurement report is carried by a radio signal.

[0144] As one embodiment, the first measurement report is transmitted by a RRC (Radio Resource Control) message.

[0145] As one embodiment, the first measurement report comprises one or more RRC messages.

[0146] As one embodiment, the first measurement report comprises one or more fields in one RRC message.

[0147] As one embodiment, the first measurement report comprises one or more parts in one RRC message.

[0148] As one embodiment, the first measurement report is carried by SRB1 (Signal Radio Bearer 1).

[0149] As one embodiment, the first measurement report is carried by SRB3 (Signal Radio Bearer 3).

[0150] As one embodiment, a logical channel occupied by the first measurement report comprises a DCCH (Dedicated Control Channel).

[0151] As one embodiment, a transport channel occupied by the first measurement report comprises an UL-SCH (UpLink-Shared CHannel).

[0152] As one embodiment, the meaning of sending the first measurement report in the first cell comprises sending the first measurement report using air interface resources of the first cell.

[0153] As one embodiment, the meaning of sending the first measurement report in the first cell comprises sending the first measurement report in air interface resources corresponding to the first cell.

[0154] As one embodiment, the meaning of sending the first measurement report in the first cell comprises sending the first measurement report in air interface resources configured for the first cell.

[0155] As one embodiment, the air interface resources in the present application comprise one or more of time domain resources, frequency domain resources, space domain resources and code domain resources.

[0156] As one embodiment, the air interface resources described in this application include one or more of PUSCH (Physical Uplink Shared CHannel) occasions, PUCCH (Physical Uplink Control CHannel) occasions, and PRACH (Physical Random Access CHannel) occasions.

[0157] As one embodiment, the first cell is a cell that the first node is currently camped on.

[0158] As one embodiment, the first cell is a current serving cell of the first node.

[0159] As one embodiment, the first cell is a source cell of the first node.

[0160] As one embodiment, the first cell corresponds to a carrier.

[0161] As one embodiment, the first cell corresponds to a PCI.

[0162] As one embodiment, the first cell corresponds to a ServCellIndex.

[0163] As one embodiment, the first cell corresponds to a ServCellId.

[0164] As one embodiment, the first cell corresponds to a SCellIndex.

[0165] As one embodiment, the first cell corresponds to a ServCellIdentity.

[0166] As one embodiment, the serving cell described in this application includes a PCell (Primary Cell).

[0167] As one embodiment, the serving cell described in this application includes a SCell (Secondary Cell).

[0168] As one embodiment, the serving cell described in this application includes a SpCell (Special Cell).

[0169] As one embodiment, the serving cell in the present application comprises a PSCell (Primary Secondary Cell).

[0170] As one embodiment, the serving cell in the present application comprises a cell in a MCG (Master Cell group).

[0171] As one embodiment, the serving cell in the present application comprises a cell in a SCG (Secondary Cell group).

[0172] As one embodiment, the PCI in the present application refers to: Physical Cell Identifier.

[0173] As one embodiment, the PCI in the present application refers to: Physical Cell Identity.

[0174] As one embodiment, the PCI in the present application refers to: Physical-layer Cell Identity.

[0175] As one embodiment, the PCI in the present application refers to: physCellId.

[0176] As one embodiment, the ServCellIndex in the present application is a non-negative integer not greater than 31.

[0177] As one embodiment, the SCellIndex in the present application is a positive integer not greater than 31.

[0178] As one embodiment, the PhysCellId in the present application is a non-negative integer not greater than 1007.

[0179] As one embodiment, the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of the second cell.

[0180] As one embodiment, the first measurement report comprises both the channel quality of the first cell and the channel quality of the second cell.

[0181] As one embodiment, the first measurement report comprises the channel quality of the first cell.

[0182] As one embodiment, the first measurement report comprises the channel quality of the second cell.

[0183] As one embodiment, the first measurement report indicates the second cell.

[0184] As one embodiment, the second cell is a cell outside of the first node.

[0185] As one embodiment, the second cell is a neighbor cell of a cell in which the first node currently resides.

[0186] As one embodiment, the second cell is a neighbor cell of a serving cell of the first node.

[0187] As one embodiment, the second cell is a target cell of the first node.

[0188] As one embodiment, the second cell corresponds to one carrier.

[0189] As one embodiment, the second cell corresponds to one PCI.

[0190] As one embodiment, the second cell corresponds to one ServCellIndex.

[0191] As one embodiment, the channel quality in the present application includes: a cell channel.

[0192] As one embodiment, the channel quality in the present application includes: beam channel quality.

[0193] As one embodiment, the channel quality in the present application includes: a cell channel quality ranking.

[0194] As one embodiment, the channel quality in the present application includes: one or more fields in MeasResults IE (Information Element).

[0195] As one embodiment, the channel quality in the present application includes: MeasQuantityResults.

[0196] As one embodiment, the channel quality in the present application includes: RSRP (Reference Signal Received Power).

[0197] As one embodiment, the channel quality in the present application includes: RSRQ (Reference Signal Received Quality).

[0198] As an embodiment, the channel quality in the present application comprises: SINR (Signal to Noise and Interference Ratio).

[0199] As an embodiment, the channel quality in the present application comprises: SSB-Index.

[0200] As an embodiment, the channel quality in the present application comprises: CSI-RS-Index.

[0201] As an embodiment, the channel quality in the present application comprises: RSSI (Received Signal Strength Indication).

[0202] As an embodiment, the channel quality in the present application comprises: channelOccupancy.

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

[0204] As an embodiment, the channel quality in the present application comprises: SRS-ResourceId.

[0205] As an embodiment, the channel quality in the present application comprises: SRS (Sounding Resource Signal)-RSRP.

[0206] As an embodiment, the channel quality in the present application comprises: CLI (Cross Link Interference)-RSSI.

[0207] As an embodiment, the channel quality in the present application comprises: Delay.

[0208] As an embodiment, the channel quality in the present application comprises: averageDelay.

[0209] As an embodiment, the channel quality in the present application comprises: excessDelay.

[0210] As an embodiment, the first node receives the first signaling.

[0211] As an embodiment, the first signaling comprises RRC signaling.

[0212] As an embodiment, the first signaling is transmitted through an RRC message.

[0213] As one embodiment, the first signaling comprises one or more RRC messages.

[0214] As one embodiment, the first signaling comprises one or more fields in one RRC message.

[0215] As one embodiment, the first signaling comprises one or more parts in one RRC message.

[0216] As one embodiment, the first signaling comprises dynamic signaling.

[0217] As one embodiment, the first signaling is transmitted through MAC (Medium Access Control) layer signaling.

[0218] As one embodiment, the first signaling is transmitted through MAC CE (Control Element).

[0219] As one embodiment, the first signaling comprises a MAC CE.

[0220] As one embodiment, the first signaling comprises physical layer signaling.

[0221] As one embodiment, the first signaling comprises DCI (Downlink Control Information).

[0222] As one embodiment, the first signaling is transmitted through a physical layer channel.

[0223] As one embodiment, the first signaling is one of RRCReconfiguration message or LTM Cell switch command MAC CE.

[0224] As one embodiment, the first signaling is a response to the first measurement report.

[0225] As one embodiment, the first signaling is a feedback to the first measurement report.

[0226] As one embodiment, the first signaling indicates that the first measurement report is correctly received by the second node in the present application.

[0227] As one embodiment, as a response to the first measurement report, the recipient of the first measurement report decides to send the first signaling.

[0228] As one embodiment, the first signaling is sent by a receiver of the first measurement report after receiving the first measurement report.

[0229] As one embodiment, the first measurement report is received by a receiver of the first measurement report, and the receiver decides to configure LTM (L1 / L2-Triggered Mobility) based on the first measurement report after receiving the first measurement report, and initiates LTM preparation.

[0230] As one sub-embodiment of the embodiment, the candidate cell of the LTM includes the second cell.

[0231] As one sub-embodiment of the embodiment, the first signaling is used to configure the LTM.

[0232] As one embodiment, the first measurement report is received by a receiver of the first measurement report, and the receiver decides to initiate LTM procedure after receiving the first measurement report.

[0233] As one sub-embodiment of the embodiment, the first signaling belongs to the LTM procedure.

[0234] As one embodiment, the first measurement report is received by a receiver of the first measurement report, and the receiver decides to handover the first node based on the first measurement report after receiving the first measurement report.

[0235] As one sub-embodiment of the embodiment, the first signaling triggers the handover of the Uu interface.

[0236] As one embodiment, the first signaling triggers the handover of the first node from the first cell to the second cell.

[0237] As one embodiment, the first signaling indicates the handover of the first node from the first cell to the second cell.

[0238] As one embodiment, the first node sends the first signal.

[0239] As one embodiment, the first signal is a baseband signal.

[0240] As one embodiment, the first signal is a radio frequency signal.

[0241] As one embodiment, the first signal is a wireless signal.

[0242] As one embodiment, the first signal is transmitted through an RRC message.

[0243] As one embodiment, the first signal comprises one or more RRC messages.

[0244] As one embodiment, the first signal comprises one or more fields in one RRC message.

[0245] As one embodiment, the first signal comprises one or more parts in one RRC message.

[0246] As one embodiment, the first signal is transmitted through a MAC layer.

[0247] As one embodiment, the first signal is transmitted through a MAC CE.

[0248] As one embodiment, the first signal is transmitted through a physical layer channel.

[0249] As one embodiment, the first signal is for the second cell.

[0250] As one embodiment, the first signal for the second cell means that the first node transmits the first signal on the second cell.

[0251] As one embodiment, the first signal for the second cell means that the first node transmits the first signal using air interface resources of the second cell.

[0252] As one embodiment, the first signal for the second cell means that the first node transmits the first signal in air interface resources configured by the second cell.

[0253] As one embodiment, the first signal for the second cell means that the first node transmits the first signal in air interface resources corresponding to the second cell.

[0254] As one embodiment, the first signal for the second cell means that the first signal is for accessing the second cell.

[0255] As one embodiment, the first signal for the second cell means that the first signal is a wireless signal transmitted in a synchronization process of the second cell.

[0256] As one embodiment, the first signal for the second cell means that the first signal is a wireless signal in a RACH (Random Access CHannel) process initiated by the second cell.

[0257] As an embodiment, the first signal is intended for the second cell includes that the first signal is a RACH sent to the second cell.

[0258] As an embodiment, the first signal is intended for the second cell includes that the first signal is a PRACH (Physical Random Access CHannel) sent to the second cell.

[0259] As an embodiment, the first signal is intended for the second cell includes that the first signal is for establishing a RRC connection with the second cell.

[0260] As an embodiment, the first signal is intended for the second cell includes that the first signal is a RRCReconfigurationComplete message sent to the second cell.

[0261] As an embodiment, the first signal is intended for the second cell includes that the first signal is a PUSCH (Physical Uplink Shared CHannel) sent to the second cell.

[0262] As an embodiment, the first signal is intended for the second cell includes that the first signal is a PUCCH (Physical Uplink Control CHannel) sent to the second cell.

[0263] As an embodiment, the first signal is intended for the second cell includes that 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 by RRC signaling.

[0264] As an embodiment, whether the first signaling includes the first domain depends on the first measurement report.

[0265] As an embodiment, whether the first signaling includes the first domain depends on the intention of the first measurement report includes that whether the first signaling includes the first domain depends on a generation manner of the first measurement report, the generation manner of the first measurement report is one of based on AI generation or not based on AI generation.

[0266] As a sub-example of the example, the first measurement report is generated based on AI, and the first signaling includes the first domain; or the first measurement report is not generated based on AI, and the first signaling does not include the first domain.

[0267] As an example, whether the first signaling includes the first domain depends on content included in the first measurement report, the content included in the first measurement report being one of being generated based on AI or not being generated based on AI.

[0268] As a sub-example of the example, 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.

[0269] As an example, whether the first signaling includes the first domain depends on content included in the first measurement report, the content included in the first measurement report being one of including a first information set or not including the first information set, the first information set at least including probability information.

[0270] As a sub-example of the example, the first measurement report includes the first information set, and the first signaling includes the first domain; or the first measurement report does not include the first information set, and the first signaling does not include the first domain.

[0271] As a sub-example of the example, the first information set includes a time window.

[0272] As a sub-example of the example, the first information set includes a time instance.

[0273] As a sub-example of the example, the probability information is probability of RLF (Radio Link Failure).

[0274] As a sub-example of the example, the probability information is probability in a time window.

[0275] As a sub-example of the example, the probability information is probability in a time instance.

[0276] As one sub-example of the embodiment, the probability information is a confidence for the first measurement report.

[0277] As one sub-example of the embodiment, the probability information is a CI (Confidence Interval) for the first measurement report.

[0278] As one embodiment, whether the first signaling includes the first domain depending on the first measurement report includes that the first measurement report is generated based on AI, and the first node determines that the first signaling includes the first domain when decoding the first signaling.

[0279] As one embodiment, whether the first signaling includes the first domain depending on the first measurement report includes that the first measurement report is generated based on AI, and the first node determines the first signaling payload based on the first signaling including the first domain when decoding the first signaling.

[0280] As one embodiment, whether the first signaling includes the first domain depending on the first measurement report includes that the first measurement report is generated based on AI, and the first node determines the number of bits occupied by the first signaling based on the first signaling including the first domain when decoding the first signaling.

[0281] As one embodiment, whether the first signaling includes the first domain depending on the first measurement report includes that the first measurement report is generated based on AI, and the first node determines the size of the first signaling based on the first signaling including the first domain when decoding the first signaling.

[0282] As one embodiment, the first measurement report is generated based on AI or not generated based on AI.

[0283] As one embodiment, the first measurement report is generated based on AI.

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

[0285] As one embodiment, "the first measurement report is generated based on AI" means that part or all of the content included in the first measurement report is generated by inference.

[0286] As an embodiment, "the first measurement report is AI-generated" means that part or all of the content included in the first measurement report is generated by an AI model.

[0287] As an embodiment, "the first measurement report is AI-generated" means that the first node predicts the content of the first measurement report according to the measurement results by an AI model, and sends the first measurement report.

[0288] As an embodiment, "the first measurement report is AI-generated" means that the first node predicts sending the first measurement report according to the measurement results by an AI model, and sends the first measurement report.

[0289] As an embodiment, "the first measurement report is AI-generated" means that the first node predicts the current measurement results of the first cell and the second cell according to the previous measurement results of the first cell and the second cell by an AI model, and further generates the first measurement report, and sends the first measurement report.

[0290] As an embodiment, "the first measurement report is AI-generated" means that the first node predicts the future measurement results of the first cell and the second cell according to the current measurement results of the first cell and the second cell by an AI model, and further generates the first measurement report, and sends the first measurement report.

[0291] As an embodiment, "the first measurement report is AI-generated" 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 generation of the channel quality of the first cell and the channel quality of the second cell is AI-based.

[0292] As an embodiment, "the first measurement report is AI-generated" means that the first measurement report is triggered by a single event, and the event triggering the first node to send the first measurement report is AI-based.

[0293] As an embodiment, the first measurement report is not AI-generated.

[0294] As an embodiment, "the first measurement report is not AI-generated" means that the generation 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 an AI model.

[0295] As an embodiment, the meaning of "the first measurement report is not generated based on AI" includes that the sending of the first measurement report depends on the measurement result of the first cell and the measurement result of the second cell, and does not depend on the prediction of the AI model.

[0296] As an embodiment, the meaning of "the first measurement report is not generated based on AI" includes that the first measurement report is single event triggered, and the event triggering the first node to send the first measurement report is not based on AI.

[0297] As an embodiment, when the first signaling includes the first field, the sending power value of the first signal depends on the first field of the first signaling.

[0298] As an embodiment, the unit of the sending power value of the first signal is dBm (decibel relative to one milliwatt).

[0299] As an embodiment, the unit of the sending power value of the first signal is mW (milliwatt).

[0300] As an embodiment, the unit of the sending power value of the first signal is W (Watt).

[0301] As an embodiment, the first field included in the first signaling determines the upper limit of the sending power value of the first signal.

[0302] As an embodiment, the first field included in the first signaling indicates the upper limit of the sending power value of the first signal.

[0303] As an embodiment, the first field included in the first signaling indicates the determination manner of the sending power value of the first signal.

[0304] As an embodiment, the first field included in the first signaling indicates whether the sending power value of the first signal is scaled.

[0305] Embodiment 2

[0306] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG. 2.

[0307] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a network architecture for LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced), 5G systems, 5G-Advanced, and future 6G systems. The network architecture for LTE, LTE-A, 5G systems, 5G-Advanced, and future 6G systems is referred to as EPS (Evolved Packet System). The 5G NR or LTE network architecture can be referred to as 5GS (5G System) / EPS or some other suitable terminology; the 6G network architecture can be referred to as 6GS (6G System) / EPS or some other suitable terminology. The network architecture 200 can include one or more UEs 201, a RAN (Next Generation Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown in FIG. 2, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems providing circuit-switched services. The RAN 202 includes a Node B 203 and other Node Bs 204. The Node B 203 provides user and control plane protocol terminations toward the UE 201. The Node B 203 can be connected to the other Node Bs 204 via an Xn interface (e.g., backhaul). The Node B 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a Basic Service Set (BSS), an Extended Service Set (ESS), a TRP (Transmitter Receiver Point), or some other suitable terminology. The Node B 203 provides an access point to the core network 210 for a UE 201; the core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or alternatively, the core network 210 is a 6GC.Examples of a UE 201 include a cellular phone, a smart phone, a Session Initiation Protocol (SIP) phone, a laptop, a personal digital assistant (PDA), a satellite radio, a global positioning system, a multimedia device, a video device, a digital audio player (e.g., MP3 player), a camera, a game console, a drone, a flying vehicle, a narrowband physical web device, a machine type communication device, a land transport vehicle, a car, a wearable device, or any other similar functional device. Those skilled in the art will also The Node B 203 is connected to the core network 210 by an SI / NG interface. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that handles signaling between the UE 201 and the 5G-CN / EPC 210. The MME / AMF / SMF 211 generally provides bearer and connection management. All user Internet Protocol (IP) packets are transferred through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator- corresponding Internet Protocol services, which can specifically include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and packet switching services.

[0308] As one embodiment, the first node described in this application includes the UE 201.

[0309] As one embodiment, the second node described in this application comprises the Node B 203.

[0310] As one embodiment, the Node B 203 is a Macro Cell base station.

[0311] As one embodiment, the Node B 203 is a Micro Cell base station.

[0312] As one embodiment, the Node B 203 is a Pico Cell base station.

[0313] As one embodiment, the Node B 203 is a Femto Cell base station.

[0314] As one embodiment, the Node B 203 is a base station device that supports large latency difference.

[0315] As one embodiment, the Node B 203 is a flying platform device.

[0316] As one embodiment, the Node B 203 is a satellite device.

[0317] As one embodiment, the Node B 203 is a test device (e.g. a transceiver that simulates part of the functionality of a base station, a signaling tester).

[0318] As one embodiment, the UE 201 is a device comprising a mobile phone.

[0319] As one embodiment, the UE 201 is a device comprising a vehicle, such as a car.

[0320] As one embodiment, the wireless link from the UE 201 to the Node B 203 is an uplink, which is used to perform uplink transmission.

[0321] As one embodiment, the wireless link from the Node B 203 to the UE 201 is a downlink, which is used to perform downlink transmission.

[0322] As one embodiment, the wireless link between the Node B 203 and the UE 201 comprises a cellular network link.

[0323] As one embodiment, the Node B 203 and the UE 201 are connected through a Uu air interface.

[0324] As one embodiment, the sender of the first measurement report comprises the UE 201.

[0325] As one embodiment, the sender of the first signaling comprises the Node B 203.

[0326] As one embodiment, the sender of the first signaling comprises the Node B 203.

[0327] As one embodiment, the receiver of the first signaling comprises the UE 201.

[0328] As one embodiment, the sender of the first signal comprises the UE 201.

[0329] As one embodiment, the receiver of the first signal comprises the Node B 203.

[0330] As one embodiment, the receiver of the first signal comprises the Node B 204.

[0331] As one embodiment, the sender of the second signaling comprises the Node B 203.

[0332] As one embodiment, the receiver of the second signaling comprises the UE 201.

[0333] As one embodiment, the sender of the first reference signal comprises the Node B 203.

[0334] As one embodiment, the receiver of the first reference signal comprises the UE 201.

[0335] As one embodiment, the sender of the second reference signal comprises the Node B 203.

[0336] As one embodiment, the sender of the second reference signal comprises the Node B 204.

[0337] As one embodiment, the receiver of the second reference signal comprises the UE 201.

[0338] As one embodiment, the UE 201 supports generating reporting with AI / ML.

[0339] As one embodiment, the UE 201 supports generating trained model or part of parameters in model with training data.

[0340] As one embodiment, the UE 201 supports AI / ML based measurement reporting.

[0341] As one embodiment, the UE 201 supports NN (Neural Networks) based measurement reporting.

[0342] As one embodiment, the UE 201 supports ANN (Artificial Neural Networks)-based measurement reporting.

[0343] As one embodiment, the UE 201 supports CNN (Convolutional Neural Networks)-based measurement reporting.

[0344] As one embodiment, the UE 201 supports Transformer-based measurement reporting.

[0345] As one embodiment, the UE 201 supports LSTM (Long Short-Term Memory)-based measurement reporting.

[0346] As one embodiment, the UE 201 supports MLP (MultiLayer Perceptron)-based measurement reporting.

[0347] As one embodiment, the UE 201 supports GAN (Generative Adversarial Nets)-based measurement reporting.

[0348] As one embodiment, the UE 201 supports lightweight neural network-based measurement reporting.

[0349] As one sub-embodiment of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet, and SqueezeNet.

[0350] As one embodiment, the UE 201 supports a 5G system.

[0351] As one embodiment, the NodeB 203 supports a 5G system.

[0352] As one embodiment, the UE 201 supports at least a 6G system.

[0353] As one embodiment, the NodeB 203 supports at least a 6G system.

[0354] Embodiment 3

[0355] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to one embodiment of the present application, as shown in FIG. 3.

[0356] 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 3 shows the radio protocol architecture for the control plane 300 between a first communication node device (UE or RSU (Road Side Unit) in V2X (Vehicle to Everything), a vehicle mounted device or a vehicle mounted communication module) and a second node device (gNB, UE or RSU in V2X, a vehicle mounted device or a vehicle mounted communication module), or between two UEs, using three layers: Layer 1 (L1), Layer 2 (L2) and Layer 3 (L3). L1 is the lowest layer and implements various PHY (PHYsical layer) signal processing functions. L1 will be referred to as the PHY 301 herein. Layer 2 305 is above the PHY 301 and is responsible for the link between the first node device and the second node device, or between two UEs, through the PHY 301. Layer 2 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303 and a PDCP (Packet Data Convergence Protocol) sublayer 304, which are terminated 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 handover support for the first communication node device between second communication node devices. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ (Hybrid Automatic Repeat Request). The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second communication node device and the first communication node device.The radio protocol architecture of the user plane 350 includes Layer 1 (L1) and Layer 2 (L2), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the first communication node device and the second communication node device, 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 radio transmission overhead. Also included in L2 355 in the user plane 350 is the 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 diverse traffic types. Although not illustrated, the first communication node device can have several upper layers above L2 355, including a network layer (e.g., IP (Internet Protocol) layer) that terminates at the P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0357] As one embodiment, the radio protocol architecture in FIG. 3 is applicable to the first node in the present application.

[0358] As one embodiment, the radio protocol architecture in FIG. 3 is applicable to the second node in the present application.

[0359] As one embodiment, the first measurement report is generated at the RRC 306.

[0360] As one embodiment, the first signal is generated at the RRC 306.

[0361] As one embodiment, the first signal is generated at the PHY 301 or the PHY 351.

[0362] As one embodiment, the first signaling is generated at the RRC 306.

[0363] As one embodiment, the first signaling is generated at the MAC 302 or the MAC 352.

[0364] As one embodiment, the first signaling is generated at the PHY 301 or the PHY 351.

[0365] As one embodiment, the second signaling is generated at the RRC 306.

[0366] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0367] As one embodiment, the higher layer in this application includes the MAC layer.

[0368] As one embodiment, the higher layer in this application includes the RRC layer.

[0369] Embodiment 4

[0370] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 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.

[0371] 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.

[0372] 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.

[0373] In transmissions from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of L2. In DL, the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for 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 Ll (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450 and mapping onto signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-ary phase shift keying (M-PSK), M-ary quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding and beamforming processing, to generate one or more parallel streams. The transmit processor 416 then maps to each of the parallel streams to subcarriers, multiplexes the modulated symbols in time domain and / or frequency domain with reference signals (e.g., pilot) and then performs an inverse fast Fourier transform (IFFT) to generate time domain multicarrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time domain multicarrier symbol streams. Each transmitter 418 converts the baseband multicarrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency signals that are transmitted via the corresponding antennas 420.

[0374] In 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 respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband multi-carrier symbol stream that provides to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 implement various signal processing functions of the LI. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 converts the baseband multi-carrier symbol stream from the receive analog precoding / beamforming operation from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, where the reference signals will be used for channel estimation, and the data signals are recovered after multi-antenna detection in the multi-antenna receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an ACK and / or negative ACK (NACK) protocol to support HARQ operations.

[0375] 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 packets to a controller / processor 459. The data source 467 represents all protocol layers above L2. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial pre-coding including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 generates parallel streams of symbols that are modulated onto different carriers, and the modulated symbol streams are then provided to different antennas 452 via transmitters 454 after analog pre-coding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 converts a baseband symbol stream into a radio frequency signal that is transmitted via the corresponding antenna 452.

[0376] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 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 respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 together implement L1 functionality. A controller / processor 475 implements L2 functionality. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0377] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the second communication device 450 to perform: transmitting a first measurement report in a first cell; receiving a first signaling and transmitting a first signal; the first measurement report comprising at least one of a channel quality of the first cell or a channel quality of a second cell; the first signaling being a response to the first measurement report; the first signal being directed to the second cell; whether the first signaling comprises a first domain depending on the first measurement report; the first measurement report being AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depending on the first domain of the first signaling.

[0378] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes actions comprising: transmitting a first measurement report in a first cell; receiving a first signaling and transmitting a first signal.

[0379] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform: receiving a first measurement report in a first cell; transmitting a first signaling and receiving a first signal; the first measurement report comprising at least one of a channel quality of the first cell or a channel quality of a second cell; the first signaling being a response to the first measurement report; the first signal being directed to the second cell; whether the first signaling comprises a first domain depending on the first measurement report; the first measurement report being AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depending on the first domain of the first signaling.

[0380] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes actions comprising: receiving a first measurement report in a first cell; transmitting a first signaling and receiving a first signal.

[0381] As one embodiment, the first node in the present application comprises the second communication device 450.

[0382] As one embodiment, the second node described herein comprises the first communication device 410.

[0383] As one 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, the data source 467} is configured to transmit the first measurement report in the first cell; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the first measurement report in the first cell.

[0384] As one 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, the memory 476} is configured to transmit the first signaling; 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, the data source 467} is configured to receive the first signaling.

[0385] As one 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, the data source 467} is configured to transmit the first signal; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the first signal.

[0386] As one sub-embodiment of this embodiment, the first communication device 410 manages the first cell described herein and the second cell described herein.

[0387] As one 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, the data source 467} is configured to transmit the first signal; a communication device other than the first communication device 410 is configured to receive the first signal, the communication device other than the first communication device 410 manages the second cell.

[0388] As one 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, the memory 476} is configured to send the second signaling; 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, the data source 467} is configured to receive the second signaling.

[0389] As one 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, the memory 476} is configured to send the first reference signal; 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, the data source 467} is configured to receive the first reference signal.

[0390] As one 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, the memory 476} is configured to send the second reference signal; 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, the data source 467} is configured to receive the second reference signal.

[0391] As one subembodiment of this embodiment, the first communication device 410 manages the first cell as described herein and the second cell as described herein.

[0392] As one embodiment, a communication device other than the first communication device 410 is configured to send the 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 receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the second reference signal.

[0393] Embodiment 5

[0394] Embodiment 5 illustrates a first flowchart of transmissions between a first node and a second node according to an embodiment of the present application, as shown in FIG. 5. In FIG. 5, the first node U1 communicates with the second node N2 over a wireless link; the steps in blocks F51 and F52 are optional, respectively. In particular, the order in this embodiment does not limit the order of signal transmissions and the order of implementation in the present application.

[0395] 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 transmitted in the first cell in step S510; the first signaling is received in step S511; the first signal is transmitted in step S512.

[0396] For the second node N2, the second signaling is transmitted in step S5210; the first reference signal and the second reference signal are transmitted in step S5220; the first measurement report is received in the first cell in step S520; the first signaling is transmitted in step S521; the first signal is received in step S522.

[0397] In embodiment 5, the first measurement report includes at least one of a channel quality of the first cell or a 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 field depends on the first measurement report; the first measurement report is AI-based or not AI-based; when the first signaling includes the first field, a transmission power value of the first signal depends on the first field of the first signaling.

[0398] As one embodiment, the first node U1 is the first node in the present application.

[0399] As one embodiment, the second node N2 is the second node in the present application.

[0400] As one 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.

[0401] As one 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.

[0402] As one embodiment, the air interface between the second node N2 and the first node U1 includes a wireless interface between a user equipment and a user equipment.

[0403] As an embodiment, the air interface between the second node N2 and the first node U1 comprises 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.

[0404] As an embodiment, the second node N2 and the first node U1 communicate over a Uu interface.

[0405] As an embodiment, the second node N2 is a serving cell of the first node U1.

[0406] As an embodiment, the second node N2 is a serving cell of the first node U1.

[0407] As an embodiment, the second node N2 is a serving cell of the first node U1.

[0408] As an embodiment, the second node N2 is a serving cell of the first node U1.

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

[0410] As an embodiment, the first cell and the second cell correspond to the same DU.

[0411] As an embodiment, the first cell and the second cell correspond to different DUs of the same base station.

[0412] 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.

[0413] As an embodiment, the first cell is a PCell of the first node U1 and the second cell is a SCell of the first node U1.

[0414] As a sub-embodiment of this embodiment, the first measurement report triggers a change of PCell and SCell of the first node U1.

[0415] 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.

[0416] As a sub-embodiment of this embodiment, the first measurement report triggers a change of the PCell of the first node U1.

[0417] As one embodiment, the first cell is a source cell of a cell switch, and the second cell is a candidate cell of the cell switch.

[0418] As one 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.

[0419] As one embodiment, the second cell corresponds to an LTM-CandidateId.

[0420] As one embodiment, the second cell is a serving cell of the first node U1.

[0421] As one embodiment, the second cell is not a current serving cell of the first node U1.

[0422] As one embodiment, the first measurement report comprises a Measurement Report.

[0423] As one embodiment, the first measurement report comprises a MeasurementReport message.

[0424] As one embodiment, the first measurement report comprises a MeasResults IE.

[0425] As one embodiment, the first signaling is transmitted on the first cell.

[0426] As one embodiment, the first node U1 receives the first signaling on the first cell.

[0427] As one embodiment, the first signaling comprises an RRCReconfiguration message.

[0428] As one embodiment, the first signaling comprises an LTM candidate configuration.

[0429] As one embodiment, the first signaling comprises an LTM-Config IE.

[0430] As one embodiment, the first signaling comprises an LTM-Config IE, and a first field in the LTM-Config IE is used to determine the transmission power value of the first signaling.

[0431] As one embodiment, the first signaling comprises one LTM-Candidate IE.

[0432] As one embodiment, the first signaling comprises one LTM-Candidate IE, and the one LTM-Candidate IE comprises the first field, and the transmission power value of the first signal depends on the first field.

[0433] As one sub-embodiment of the embodiment, the one LTM-Candidate IE indicates the PCI of the second cell.

[0434] As one embodiment, the first signaling comprises N LTM-Candidate IEs, and the N LTM-Candidate IEs respectively comprise N power indication fields, one power indication field in the N power indication fields is the first field, and the transmission power value of the first signal depends on the first field; and the N is a positive integer greater than 1.

[0435] As one sub-embodiment of the embodiment, each LTM-Candidate IE in the N LTM-Candidate IEs comprises one power indication field.

[0436] As one sub-embodiment of the embodiment, the N LTM-Candidate IEs respectively indicate N PCIs, and the N PCIs comprise the PCI of the second cell, and the LTM-Candidate IE indicating the PCI of the second cell comprises the first field.

[0437] As one embodiment, the first signaling is carried by SRB1.

[0438] As one embodiment, the first signaling is carried by SRB3.

[0439] As one embodiment, the logical channel occupied by the first signaling comprises DCCH.

[0440] As one embodiment, the first signal is transmitted on the second cell.

[0441] As one embodiment, the first node U1 transmits the first signal on the second cell.

[0442] As one embodiment, the first signal is feedback for the first signaling.

[0443] As one embodiment, the first signal indicates that the first signaling is correctly received.

[0444] As one embodiment, the first signal comprises an RRCReconfigurationComplete message.

[0445] As one embodiment, the first signal is carried by SRB1.

[0446] As one embodiment, the first signal is carried by SRB3.

[0447] As one embodiment, a logical channel occupied by the first signal comprises a DCCH.

[0448] As one embodiment, a transport channel occupied by the first signal comprises an UL-SCH.

[0449] As one embodiment, a physical layer channel occupied by the first signal comprises a PUSCH.

[0450] As one embodiment, the first signal comprises UCI (Uplink Control Information).

[0451] As one embodiment, the first signal comprises a HARQ (Hybrid Automatic Repeat reQuest)-ACK (ACKnowledgment).

[0452] As one embodiment, a physical layer channel occupied by the first signal comprises a PUCCH.

[0453] As one embodiment, the first signaling is dynamic signaling.

[0454] As one embodiment, the first signaling is physical layer signaling.

[0455] As one embodiment, the first signaling is Layer 1 signaling.

[0456] As one embodiment, the first signaling initiates an uplink TA (Timing Advance) acquisition procedure.

[0457] As one embodiment, the second cell is configured with a higher layer parameter EarlyUlSyncConfig, and the first signaling initiates an early TA acquisition procedure.

[0458] As one embodiment, the first signaling triggers a CFRA (Contention-Free Random Access) procedure.

[0459] As one embodiment, the first signaling is a PDCCH (Physical Downlink Control CHannel) Order.

[0460] As one embodiment, the first signaling comprises a DCI.

[0461] As one embodiment, a DCI format of the first signaling is DCI format 1_0.

[0462] As one embodiment, a CRC (Cyclic redundancy check) of the first signaling is scrambled by a C (Cell)-RNTI (Radio Network Temporary Identifier).

[0463] As one sub-embodiment of the embodiment, the C-RNTI is a C-RNTI of the first cell.

[0464] As one embodiment, a FDRA (Frequency Domain Resource Assignment) field of the first signaling is all ones.

[0465] As one embodiment, the second cell is configured with a higher layer parameter EarlyUlSyncConfig, and a Cell indicator field of the first signaling indicates the second cell.

[0466] As one embodiment, the first signaling comprises the first field, the first signaling comprising the first field comprises a first subfield and a second subfield, the first subfield is a SS / PBCH index field, and the second subfield indicates whether the first signal depends on a reference signal other than a reference signal indicated by the SS / PBCH index field.

[0467] As one embodiment, a physical layer channel occupied by the first signaling comprises a PDCCH.

[0468] As one embodiment, transmission of the first signal depends on the first signaling.

[0469] As one embodiment, the transmission of the first signal is a response of the first node U1 to receiving the first signaling.

[0470] As one embodiment, the first node U1 transmits the first signal as a response to receiving the first signaling.

[0471] As one embodiment, the first signal is used for uplink synchronization acquisition.

[0472] As one embodiment, the first signal is used for uplink synchronization acquisition with the second cell.

[0473] As one embodiment, the first signal is used for establishing time alignment.

[0474] As one embodiment, the first signal is used for LTM.

[0475] As one embodiment, the first signal is used for early TA acquisition.

[0476] As one embodiment, the first signal is generated by a pseudo-random sequence.

[0477] As one embodiment, the first signal comprises a ZC sequence (Zadoff-Chu sequence).

[0478] As one embodiment, the first signal is generated by a ZC sequence.

[0479] As one embodiment, the first signal is generated by a preamble sequence.

[0480] As one embodiment, the first signal comprises a preamble.

[0481] As one embodiment, the first signal comprises only one preamble.

[0482] As one embodiment, the preamble comprised by the first signal is assigned by the second node N2.

[0483] As one embodiment, the preamble comprised by the first signal is indicated by the second node N2.

[0484] As one embodiment, the first signal comprises Msg1 (Message 1).

[0485] As one embodiment, the Msg1 in the present application refers to Massage 1 or Msg 1 or MSG1.

[0486] As one embodiment, the first signal comprises RACH.

[0487] As one embodiment, the first signal comprises a PRACH.

[0488] As one embodiment, the transmission channel occupied by the first signal comprises a RACH.

[0489] As one embodiment, the physical layer channel occupied by the first signal comprises a PRACH.

[0490] As one embodiment, the first measurement report is a L1 Measurement Report instance.

[0491] As one embodiment, the first measurement report comprises a L1 Measurement Report.

[0492] As one embodiment, the first signaling indicates the first node to perform a cell switch to the second cell.

[0493] As one embodiment, the first signaling is a MAC layer signaling.

[0494] As one embodiment, the first signaling comprises a MAC CE.

[0495] As one embodiment, the first signaling comprises a LTM Cell switch command MAC CE.

[0496] As one embodiment, the first signaling comprises the first field, the first field comprises one bit, the one bit indicates whether the transmission power value of the first signal depends on the first cell.

[0497] As one embodiment, the first signaling comprises the first field, the first field comprises one bit, the one bit indicates whether the transmission power value of the first signal depends on a power offset.

[0498] As one embodiment, the first signaling does not comprise the first field, the bits of the first field are set to zero or a reserved value.

[0499] As one embodiment, the transmission channel occupied by the first signaling comprises a DL-SCH.

[0500] As one embodiment, the physical layer channel occupied by the first signaling comprises a PDSCH (Physical Downlink Shared CHannel).

[0501] As one embodiment, the step S511 is after the step S510; the step S521 is after the step S520.

[0502] As an embodiment, the step S512 is after the step S511; the step S522 is after the step S521.

[0503] As an embodiment, the block F52 in the figure 5 exists; the method applied to the first node in the application comprises: 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, 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.

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

[0505] As an embodiment, the second reference signal is sent in the second cell.

[0506] As an embodiment, the first reference signal comprises CSI-RS (channel state Information-Reference Signal).

[0507] As an embodiment, the first reference signal comprises SSB.

[0508] As an embodiment, the second reference signal comprises CSI-RS.

[0509] As an embodiment, the second reference signal comprises SSB.

[0510] As an embodiment, the SSB in the application refers to: Synchronization Signal Block.

[0511] As an embodiment, the SSB in the application refers to: SS (Synchronization Signal) / PBCH (Physical Broadcast Channel) block.

[0512] Typically, the reception occasions of the PBCH, PSS (Primary Synchronization Signal) and SSS (Secondary Synchronization Signal) are in consecutive symbols, and form the SS / PBCH block.

[0513] As one embodiment, the channel quality of the first cell is obtained by measurements on the first reference signal.

[0514] As one embodiment, the channel quality of the second cell is obtained by measurements on the second reference signal.

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

[0516] As one embodiment, when the channel quality of the second cell is generated based on AI, the input of the AI model inference stage includes the second reference signal, and the output includes part or all of the channel quality of the second cell.

[0517] As one embodiment, the first measurement report is event triggered, and the event includes that the channel quality of the second cell is better than the channel quality of the first cell.

[0518] As one embodiment, the first measurement report indicates that the channel quality of the second cell is better than the channel quality of the first cell.

[0519] As one 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.

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

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

[0522] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the SINR of the second cell is greater than the SINR of the first cell.

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

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

[0525] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the sum of the SINR of the second cell and a given offset value is greater than the SINR of the first cell.

[0526] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the second cell becomes better than the first cell with consideration of an offset, the offset including at least one of a measurement-specific offset, a cell-specific offset, and an offset parameter for a given Event.

[0527] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the second cell corresponds to a neighbor cell, the first cell corresponds to a SpCell, and the neighbor cell and the SpCell satisfy Event A3.

[0528] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the first cell is worse than a first threshold value and the second cell is better than a second threshold value.

[0529] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the second cell corresponds to a neighbor cell, the first cell corresponds to a SpCell, and the neighbor cell and the SpCell satisfy Event A5.

[0530] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the second cell is better than the first cell with consideration of an offset.

[0531] As one embodiment, the meaning that the channel quality of the second cell is better than the channel quality of the first cell includes that the second cell corresponds to a neighbor cell, the first cell corresponds to a SCell, and the neighbor cell and the SCell satisfy Event A6.

[0532] As one embodiment, the block F52 in FIG. 5 exists, the step S5120 is before the step S510, and the step S5220 is before the step S520.

[0533] As an embodiment, the block F51 in FIG. 5 exists; the method applied to the first node in the present application comprises: receiving second signaling, the second signaling respectively configuring measurement objects and measurement time for the first cell and the second cell; obtaining at least one channel measurement value for the first cell by measurement of the measurement objects for the first cell in the measurement time, and obtaining at least one channel measurement value for the second cell by measurement of the measurement objects for the second cell in the measurement time; when the first measurement report is generated based on AI, 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 is used to generate the first measurement report.

[0534] As an embodiment, the second signaling comprises higher layer signaling.

[0535] As an embodiment, the second signaling comprises RRC signaling.

[0536] As an embodiment, the second signaling comprises one or more fields in one RRC IE.

[0537] As an embodiment, the second signaling comprises multiple RRC IEs.

[0538] As an embodiment, the second signaling comprises one or more fields in each RRC IE of multiple RRC IEs.

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

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

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

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

[0543] As an embodiment, the second signaling comprises one or more fields in MeasWindowConfig IE.

[0544] As an embodiment, the unit of the measurement time is millisecond (ms).

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

[0546] As one embodiment, the measurement time is in units of subframes.

[0547] As one embodiment, the measurement time is periodic.

[0548] As one embodiment, the measurement time is continuous.

[0549] As one embodiment, the measurement time is continuous within a period.

[0550] As one embodiment, the measurement object for the first cell is transmitted on the first cell.

[0551] As one embodiment, the measurement object for the first cell comprises a reference signal transmitted in a reference signal resource, the reference signal resource being at least one of a CSI-RS resource and an SSB.

[0552] As one embodiment, the measurement object for the first cell comprises a reference signal, the reference signal being at least one of a CSI-RS and an SSB.

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

[0554] As one embodiment, the measurement object for the first cell comprises a reference signal generated by the first node, the generated reference signal comprising at least one of a CSI-RS, an SSB, and an SRS.

[0555] As one embodiment, the measurement object for the first cell comprises a DMRS (DeModulation Reference Signal).

[0556] As one embodiment, the measurement object for the first cell comprises the first reference signal.

[0557] As one embodiment, the measurement object for the second cell is transmitted on the second cell.

[0558] As one embodiment, the measurement object for the second cell comprises a reference signal transmitted in a reference signal resource, the reference signal resource being at least one of a CSI-RS resource and an SSB.

[0559] As one embodiment, the measurement object for the second cell comprises a reference signal, the reference signal being at least one of a CSI-RS and an SSB.

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

[0561] As one embodiment, the measurement object for the second cell comprises a reference signal generated by the first node, the generated reference signal comprising at least one of a CSI-RS, an SSB, and an SRS.

[0562] As one embodiment, the measurement object for the second cell comprises a DMRS.

[0563] As one embodiment, the measurement object for the first cell comprises the second reference signal.

[0564] As one embodiment, when the first measurement report is generated based on an AI, an input of an AI model generating the first measurement report comprises at least one of at least one of the channel measurement value for the first cell or at least one of the channel measurement value for the second cell.

[0565] As one embodiment, the step S5110 in FIG. 5 exists, the step S5110 being before the step S510; the step S5210 being before the step S520.

[0566] As one embodiment, the steps in the block F51 and the block F52 in FIG. 5 both exist, the step S5110 being before the step S5120; the step S5210 being before the step S5220.

[0567] As one embodiment, the steps in the block F51 and the block F52 in FIG. 5 both exist, the step in the block F51 being before the step in the block F52.

[0568] Embodiment 6

[0569] Embodiment 6 illustrates a second flowchart of the transmission between the first node and the second node according to one embodiment of the present application, as shown in FIG. 5. In FIG. 6, the first node U3 communicates with the second node N4 through a wireless link, and the first node U3 communicates with the third node N5 through a wireless link; the steps in the block F61 and the block F62 are optional respectively. It is particularly pointed out that the order in this embodiment does not limit the order of the signal transmission and the order of the implementation in the present application.

[0570] 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 transmitted in the first cell in step S630; the first signaling is received in step S631; the first signal is transmitted in step S632.

[0571] For the second node N4, the second signaling is transmitted in step S6410; the first reference signal is transmitted in step S6420; the first measurement report is received in the first cell in step S640; the first signaling is transmitted in step S641.

[0572] For the third node N5, the second reference signal is transmitted in step S6520; the first signal is received in step S650.

[0573] In embodiment 6, the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is AI-based or not AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0574] As one embodiment, the first node U3 is the first node in the present application.

[0575] As one embodiment, the second node N4 is the second node in the present application.

[0576] As one embodiment, the second node in the present application comprises the second node N4 and the third node N5.

[0577] As one embodiment, the air interface between the second node N4 and the first node U3 comprises a wireless interface between a base station device and a user equipment.

[0578] As one embodiment, the air interface between the third node N5 and the first node U3 comprises a wireless interface between a base station device and a user equipment.

[0579] As one embodiment, the air interface between the second node N4 and the first node U3 comprises a wireless interface between a relay node device and a user equipment.

[0580] As one embodiment, the air interface between the third node N5 and the first node U3 comprises a wireless interface between a relay node device and a user equipment.

[0581] As one embodiment, the air interface between the second node N4 and the first node U3 comprises a wireless interface between user equipment and user equipment.

[0582] As one embodiment, the air interface between the third node N5 and the first node U3 comprises a wireless interface between user equipment and user equipment.

[0583] As one embodiment, the air interface between the second node N4 and the first node U3 comprises one or more of a wireless interface between a TRP and user equipment, a wireless interface between a CU and user equipment, or a wireless interface between a DU and user equipment.

[0584] As one embodiment, the air interface between the third node N5 and the first node U3 comprises one or more of a wireless interface between a TRP and user equipment, a wireless interface between a CU and user equipment, or a wireless interface between a DU and user equipment.

[0585] As one embodiment, the second node N4 and the first node U3 communicate over a Uu interface.

[0586] As one embodiment, the third node N5 and the first node U3 communicate over a Uu interface.

[0587] As one embodiment, the second node N4 is a maintaining base station of the first cell.

[0588] As one embodiment, the third node N5 is a maintaining base station of the second cell.

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

[0590] As one embodiment, the second node N4 is a serving base station of the second cell.

[0591] As one embodiment, the second node N4 and the third node N5 are two different base stations.

[0592] As one embodiment, the second node N4 and the third node N5 are different DUs of the same base station.

[0593] As one embodiment, the second node N4 and the third node N5 are two different TRPs of the same DU.

[0594] As one embodiment, the second node N4 and the third node N5 are quasi co-located.

[0595] As one embodiment, the second node N4 and the third node N5 are not quasi co-located.

[0596] As one embodiment, the first cell corresponds to a source base station of the first node.

[0597] As one embodiment, the first cell corresponds to a source gNB of the first node.

[0598] As one embodiment, the second cell corresponds to a target base station of the first node.

[0599] As one embodiment, the second cell corresponds to a target gNB of the first node.

[0600] As one embodiment, the first measurement report comprises Measurement Report.

[0601] As one embodiment, the first measurement report comprises Measurement Report message.

[0602] As one embodiment, the first measurement report comprises MeasResults IE.

[0603] As one embodiment, the first signaling is transmitted on the first cell.

[0604] As one embodiment, the first node U1 receives the first signaling on the first cell.

[0605] As one embodiment, the first signaling triggers handover of Uu interface.

[0606] As one embodiment, the first signaling comprises RRCReconfiguration message.

[0607] As one embodiment, the first node U3 accesses the second cell without reading system information of the second cell.

[0608] As one embodiment, the first signaling comprises information required for accessing the second cell.

[0609] As one embodiment, the first signaling indicates cell ID of the second cell.

[0610] As one embodiment, the ID in this application refers to at least one of IDentification, IDentity, IDentifier and InDex.

[0611] As one embodiment, the first signaling indicates a C-RNTI of the second cell.

[0612] As one embodiment, the first signaling indicates security algorithm identifiers of a security algorithm selected by the third node N5.

[0613] As one embodiment, the first signaling indicates common RACH resources for accessing the second cell.

[0614] As one embodiment, the first signaling indicates dedicated RACH resources for accessing the second cell.

[0615] As one embodiment, the first signaling indicates system information of the second cell.

[0616] As one embodiment, the first signaling is carried by SRB1.

[0617] As one embodiment, the first signaling is carried by SRB3.

[0618] As one embodiment, a logical channel occupied by the first signaling comprises a DCCH.

[0619] As one embodiment, the first signal is transmitted on the second cell.

[0620] As one embodiment, the first node U3 transmits the first signal on the second cell.

[0621] As one embodiment, the first signal is a feedback for the first signaling.

[0622] As one embodiment, the first signal indicates that the first signaling is correctly received.

[0623] As one embodiment, the first signal comprises an RRCReconfigurationComplete message.

[0624] As one embodiment, the first signal is carried by SRB1.

[0625] As one embodiment, the first signal is carried by SRB3.

[0626] As one embodiment, a logical channel occupied by the first signal comprises a DCCH.

[0627] As one embodiment, a transport channel occupied by the first signal comprises an UL-SCH.

[0628] As one embodiment, the physical layer channel occupied by the first signal comprises a PUSCH.

[0629] As one embodiment, the physical layer channel occupied by the first signal comprises a PUCCH.

[0630] As one embodiment, the step S631 is after the step S630; the step S641 is after the step S640.

[0631] As one embodiment, the step S632 is after the step S631.

[0632] As one embodiment, the block F62 in Fig. 6 exists; the method applied to the first node in the present application comprises: 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, 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.

[0633] As one embodiment, the block F62 in Fig. 6 exists; the step S6320 is the step S5120 in the block F52 in Fig. 5.

[0634] As one embodiment, the block F62 in Fig. 6 exists, the step S6320 is before the step S630; the step S6420 is before the step S640; the step S6520 is before the step S650.

[0635] As one embodiment, the block F62 in Fig. 6 exists; the step S6420 is before the step S6520.

[0636] As one embodiment, the block F62 in Fig. 6 exists; the step S6420 is after the step S6520.

[0637] As an embodiment, the block F61 in the FIG. 6 exists; the method applied to the first node in the present application comprises: receiving second signaling, the second signaling respectively configures measurement objects and measurement time for the first cell and the second cell; obtaining at least one channel measurement value for the first cell through measurement of the measurement objects in the measurement time for the first cell, and obtaining at least one channel measurement value for the second cell through measurement of the measurement objects in the measurement time for the second cell; 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 is used to generate the first measurement report when the first measurement report is generated based on AI.

[0638] As an embodiment, the block F61 in the FIG. 6 is the step in the block F51 in the FIG. 5.

[0639] As an embodiment, the block F61 in the FIG. 6 exists, and the step S6310 is before the step S630; the step S6410 is before the step S640.

[0640] As an embodiment, the steps in the block F61 and the block F62 in the FIG. 6 exist at the same time, and the step S6310 is before the step S6320; the step S6410 is before the step S6420.

[0641] Embodiment 7

[0642] Embodiment 7 illustrates a first diagram of a first field included in first signaling according to an embodiment of the present application, as shown in the FIG. 7. In the FIG. 7, 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 a first path loss and a second path loss at the same time.

[0643] In the embodiment 7, the first path loss and the second path loss are respectively for the first cell and the second cell.

[0644] As an embodiment, the first path loss (PL) is the downlink path loss of the first cell; and the second path loss is the downlink path loss of the second cell.

[0645] As an embodiment, the units of the first path loss and the second path loss are both deciBel (dB).

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

[0647] As one embodiment, the second path loss is estimated by the first node.

[0648] As one embodiment, the first node obtains the first path loss by measuring a third reference signal, the third reference signal being transmitted on the first cell, and obtains the second path loss by measuring a fourth reference signal, the fourth reference signal being transmitted on the second cell; the third reference signal is one of a CSI-RS or a SSB; the fourth reference signal is one of a CSI-RS or a SSB.

[0649] As one embodiment, the first measurement report is generated based on AI, and the first signaling comprises the first domain.

[0650] As one embodiment, the content comprised by the first measurement report is used to determine that the first signaling comprises the first domain.

[0651] As one embodiment, the first domain comprised by 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.

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

[0653] As one sub-embodiment of this embodiment, the transmission power value of the first signal depends on the smaller one of the first path loss and the second path loss.

[0654] As one sub-embodiment of this embodiment, the transmission power value of the first signal depends on a weighted average of the first path loss and the second path loss.

[0655] As one sub-embodiment of this embodiment, the transmission power value of the first signal depends on a sum of the first path loss and the second path loss.

[0656] As one sub-embodiment of this embodiment, the transmission power value of the first signal depends on the smaller one of a first maximum power value and a first target power value, the first target power value being the smaller one of a first power value and a second power value, the first power value depending on the first path loss, and the second power value depending on the second path loss.

[0657] As one sub-embodiment of this sub-embodiment, the transmission power value of the first signal is equal to the smaller one of the first maximum power value and the first target power value.

[0658] As an implementation example of the sub-embodiment, the transmission power value of the first signal is not greater than a smaller one of the first maximum power value and the first target power value.

[0659] As an implementation example of the sub-embodiment, the transmission power value of the first signal is a smaller one of the first maximum power value, the first target power value and a second maximum power value, the second maximum power value being fixed or configurable.

[0660] As an implementation example of the sub-embodiment, the first power value is linearly related to the first path loss.

[0661] As an implementation example of the sub-embodiment, the first power value is linearly related to a product of the first path loss and a first coefficient.

[0662] As an implementation example of the sub-embodiment, the first power value refers to an uplink transmission power value determined by the first node when transmitting the first signal in the first cell.

[0663] As an implementation example of the sub-embodiment, the second power value is linearly related to the second path loss.

[0664] As an implementation example of the sub-embodiment, the second power value is linearly related to a product of the second path loss and a second coefficient.

[0665] As an implementation example of the sub-embodiment, the second power value refers to an uplink transmission power value determined by the first node when transmitting the first signal in the second cell.

[0666] As an implementation example, the first domain included in the first signaling indicates that the transmission power value of the first signal depends on only one path loss.

[0667] As a sub-embodiment of the implementation example, the one path loss is the second path loss.

[0668] As an implementation example, the first domain included in the first signaling indicates that the transmission power value of the first signal depends on only the second path loss of the first path loss and the second path loss.

[0669] As a sub-embodiment of the implementation example, the transmission power value of the first signal depends on a smaller one of a first maximum power value and a third power value, the third power value depending on the second path loss.

[0670] As an implementation example of the sub-embodiment, the transmission power value of the first signal is not greater than a smaller one of the first maximum power value and the third power value.

[0671] As an implementation of the sub-embodiment, the transmission power value of the first signal is equal to the smaller one of the first maximum power value and the third power value.

[0672] As an implementation of the sub-embodiment, the transmission power value of the first signal is the smaller one of the first maximum power value, the third power value and a third maximum power value, the third maximum power value being fixed or configurable.

[0673] As an implementation of the sub-embodiment, the third power value is linearly related to the second path loss.

[0674] As an implementation of the sub-embodiment, the third power value is linearly related to the product of the second path loss and a second coefficient.

[0675] As an implementation of the sub-embodiment, the third power value is referred to an uplink transmission power value determined by the first node when transmitting the first signal in the second cell.

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

[0677] As an implementation, the first maximum power value in the present application is related to the Category of the first node.

[0678] As an implementation, the first maximum power value in the present application is the maximum transmission power value of the first node.

[0679] As an implementation, the first maximum power value in the present application is the maximum output power configured by the first node.

[0680] As an implementation, the first maximum power value in the present application is for transmission occasion i.

[0681] As an implementation, the first maximum power value in the present application is P CMAX,f,c (i), the f represents the carrier occupied by the first signal, and the i represents the uplink transmission occasion occupied by the first signal.

[0682] As an implementation, the first maximum power value in the present application is dependent on P CMAX .

[0683] As an embodiment, the first maximum power value in the present application is P CMAX .

[0684] As an embodiment, the first node transmits the first signal in the i-th PUSCH occasion, and the first power value in the present application is equal to

[0685] wherein the c represents the first cell, the b represents the BWP activated by the first cell, the f represents the carrier, the j represents the parameter set configuration index, the μ represents the subcarrier spacing of the first signal, the q d represents the reference signal index for the activated downlink BWP, and the l represents the PUSCH power control adjustment state index; the P O_PUSCH,b,f,c (j) is the expected power value of the first signal, and the P O_PUSCH,b,f,c (j) depends on the expected power value of the first cell and the expected power value of the first node; the P is the resource bandwidth allocated to the first signal, and the is expressed by the number of RBs; 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 dB; the Δ TF,b,f,c (i) depends on the transmission format (TF) of the first signal; the f b,f,c (i, l) is the power adjustment state.

[0686] As an embodiment, the first node transmits the first signal in the i-th PUCCH occasion, and the first power value in the present application is equal to

[0687] wherein the c represents the first cell, the b represents the BWP activated by the first cell, the f represents the carrier, the j represents the parameter set configuration index, the μ represents the subcarrier spacing of the first signal, the q d represents the reference signal index for the activated downlink BWP, and the l represents the PUCCH power control adjustment state index; the P O_PUCCH,b,f,c (j) is the expected power value of the first signal, and the P O_PUCCH,b,f,c(j) is dependent on the desired power value of the first cell and the desired power value of the first node; the is the resource bandwidth allocated to the first signal, the is expressed in the number of RBs; the b,f,c (j) is a path loss compensation coefficient; the PL b,f,c (q d ) is the first path loss, the unit of which is dB; the F_PUCCH (F) is dependent on the PUCCH format of the first signal transmission; the TF,b,f,c (i) is a PUCCH transmission power adjustment component; the g b,f,c (i, l) is a power adjustment state.

[0688] As an embodiment, the first signal is a PRACH, and in the present application, the first power value is equal to P PRACH,target,f,c + PL b,f,c ;

[0689] wherein the c represents the first cell, the b represents the BWP activated by the first cell, and the f represents a carrier; the P PRACH,target,f,c is a PRACH target received power, and the P PRACH,target,f,c is provided by a higher layer parameter PREAMBLE_RECEIVED_TARGET_POWER; the PL b,f,c is the first path loss, the unit of which is dB.

[0690] As an embodiment, the first node transmits the first signal in the i-th PUSCH occasion, and in the present application, the second power value is equal to

[0691] wherein the c represents the second cell, the b represents the BWP activated by the second cell, the f represents a carrier, the j represents a parameter set configuration index, the d μ represents the subcarrier spacing of the first signal, and the q O_PUSCH,b,f,c represents the reference signal index of the activated downlink BWP; the l represents the PUSCH power control adjustment state index; the P O_PUSCH,b,f,c (j) is the desired power value of the first signal, the P b,f,c (j) is dependent on the desired power value of the second cell and the desired power value of the first node; the is the resource bandwidth allocated to the first signal, the is expressed in the number of RBs; the b,f,c(q d ) is the second path loss, the unit of the second path loss is dB; the Δ TF,b,f,c (i) depends on the transmission format of the first signal; the f b,f,c (i, l) is the power adjustment state.

[0692] As an embodiment, the first node transmits the first signal in the i-th PUCCH occasion, and the second power value in the present application is equal to

[0693] Wherein, the c represents the second cell, the b represents the BWP activated by the second cell, the f represents the carrier, the j represents the parameter set configuration index, the μ represents the subcarrier spacing of the first signal, the q d represents the reference signal index of the activated downlink BWP, and the l represents the PUCCH power control adjustment state index; the P O_PUCCH,b,f,c (j) is the expected power value of the first signal, the P O_PUCCH,b,f,c (j) depends on the expected power value of the second cell and the expected power value of the first node; the is the resource bandwidth allocated to the first signal, the is expressed by the number of RBs; the α b,f,c (j) is the path loss compensation coefficient; the PL b,f,c (q d ) is the second path loss, the unit of the second path loss is dB; the Δ F_PUCCH (F) depends on the PUCCH format of the first signal transmission; the Δ TF,b,f,c (i) is the PUCCH transmission power adjustment component; the g b,f,c (i, l) is the power adjustment state.

[0694] As an embodiment, the first signal is PRACH, and the second power value in the present application is equal to P PRAAH,target,f,c + PL b,f,c ;

[0695] Wherein, the c represents the second cell, the b represents the BWP activated by the second cell, the f represents the carrier; the P PRACH,target,f,c is the PRACH target received power, the P PRACH,target,f,c is provided by the higher layer parameter PREAMBLE_RECEIVED_TARGET_POWER; the PL b,f,c is the second path loss, the unit of the second path loss is dB.

[0696] As an embodiment, the second power value described in the present application is the third power value described in the present application.

[0697] Embodiment 8

[0698] Embodiment 8 illustrates a second diagram of a first field included in a first signaling according to an embodiment of the present application, as shown in FIG. 8. In FIG. 8, the first signaling includes the first field, and the first field included in the first signaling indicates a first value.

[0699] In embodiment 8, the transmission power value of the first signal depends on the first value.

[0700] As an embodiment, the transmission power value of the first signal depends on the first value and the second path loss described in the present application.

[0701] As an embodiment, the first value is a power offset value.

[0702] As an embodiment, the unit of the first value is dB.

[0703] As an embodiment, the first signaling is an RRC message, and the first signaling configures the first value.

[0704] As a sub-embodiment of this embodiment, the first value is configured to the first node.

[0705] As a sub-embodiment of this embodiment, the first value is configured to the second cell.

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

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

[0708] As a sub-embodiment of this embodiment, the first value is configured to a reference signal resource set to which the second reference signal described in the present application belongs.

[0709] As an embodiment, the first signaling is a MAC CE or DCI, and the first field included in the first signaling indicates the first value.

[0710] As a sub-embodiment of this embodiment, a codepoint of the first field included in the first signaling indicates the first value.

[0711] As a sub-embodiment of the embodiment, a higher layer configures a set of power offset values, the first field included in the first signaling indicates the first value from the set of values; the set of power offset values includes at least one power offset value; the set of power offset values is configured to the first node, or the set of power offset values is configured to the second cell.

[0712] As an embodiment, the transmission power value of the first signal depends on the first value and the third power value in the present application.

[0713] 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 the present application.

[0714] 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.

[0715] 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.

[0716] 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.

[0717] As an embodiment, the first value is a scale value.

[0718] As an embodiment, the first value is a number between 0 and 1.

[0719] As an embodiment, the first value is equal to 1.

[0720] 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.

[0721] As an embodiment, the first signaling is a MAC CE or a DCI, a higher layer configures a set of scale coefficients, the first field included in the first signaling indicates the first value from the set of scale coefficients; the set of scale coefficients includes at least one scale coefficient; the set of scale coefficients is configured to the first node, or the set of scale coefficients is configured to the second cell.

[0722] 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.

[0723] As an example, the transmission power value of the first signal is equal to the product of the third power value in the present application multiplied by the first numerical value.

[0724] Embodiment 9

[0725] Embodiment 9 illustrates a schematic diagram of RAN-domain AI / ML function deployment according to an embodiment of the present application, as shown in FIG. 9. In FIG. 9, gNB can be replaced by eNB, or 6G base station, or other network device.

[0726] In embodiment 9, the management of ML inference functions of multiple base stations is completed by RAN-domain management function 902, i.e. data interaction with RAN-domain MnS (Management Service) consumer / cross-domain management 901 (as shown by the dashed arrow in FIG. 9). RAN-domain ML training function 903 is located in RAN-domain management function 902; while ML inference functions are located in base stations, i.e. AI / ML inference function 904 is located in gNB 905, AI / ML inference function 906 is located in gNB 907, and so on.

[0727] AI / ML related functions include ML training function (also referred to as AI training, or AI / ML training), ML testing function, ML inference function (also referred to as AI inference, or AI / ML inference), and the like. ML training function, ML testing function, and ML inference function can be independently deployed, or co-located deployed. The deployment of AI / ML related functions can be implemented through software, such as the download and / or running of executable files; or can be implemented through the combination of software and hardware, such as the acceleration of specific computing units through hardware to improve operation speed or save power consumption.

[0728] For ML training function, it can be deployed in a cross-domain management system, or a domain-specific management system, which is used to manage RAN domain or CN (Core Network) domain. For example, for MDA (Management Data Analytics) ML training function, it can be deployed in MDAF (Management Data Analytic Function); for network data analytics ML training, it can be deployed in NWDAF (NetWork Data Analytics Function), i.e. ML training function is MTLF (Model Training Logical Function).

[0729] For ML inference function, it can also be deployed in a cross-domain management system, or a domain-specific management system; for example, ML inference function is MDAF, or ML inference function is AnLF (Analytics Logical Function) in NWDAF.

[0730] Similarly, ML testing function can also be deployed in a cross-domain management system, or a domain-specific management system.

[0731] Optionally, the management of ML inference function can also be completed by the base station itself, i.e. each base station can independently interact with RAN domain MnS consumer / cross-domain management 901 for data.

[0732] It should be noted that embodiment 9 is only one non-limiting implementation; optionally, RAN domain ML training function can also be deployed in a base station; or optionally, part of the base stations deploy ML inference function and RAN domain ML training function, while part of the base stations only deploy ML inference function.

[0733] As an example, one gNB (or base station) in embodiment 9 is the second node of the application.

[0734] Embodiment 10

[0735] Embodiment 10 illustrates a schematic diagram of AI / ML function deployment of UE according to an embodiment of the application, as shown in FIG. 10. In FIG. 10, RAN domain ML training function 1004 is optional.

[0736] The UE function 1003 is deployed in the first node of the present application, and includes an AI / ML inference function 1005; the AI / ML inference function 1005 uses an ML model (also referred to as an AI model) for inference; one ML model is usually trained before being used for AI / ML inference.

[0737] As one embodiment, the UE function 1003 includes a RAN-domain ML training function 1004, which runs training data through an ML model to derive a related loss, and adjusts parameters of the ML model based on the calculated loss; the ML training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0738] The above embodiment can reduce the complexity of the base station, or save the air interface resources caused by reporting training data; however, the above embodiment puts forward higher requirements on the processing capability of the UE side.

[0739] Optionally, the UE function 1003 further includes a CN-domain ML training function (not included in FIG. 10).

[0740] Optionally, the UE function 1003 further includes an AI / ML deployment function (not included in FIG. 10), which is used to load ML models and data.

[0741] As one embodiment, the first node indicates whether the ML training function (RAN domain or CN domain) is supported through capability reporting, and the capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[0742] As one embodiment, the ML model and related metadata are loaded by the first node from a network device or a remote server.

[0743] Optionally, the UE function 1003 is an MnS producer, which provides 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-headed arrow 1002).

[0744] Optionally, the UE function 1003 is a MnS consumer that loads 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-headed arrow 1002).

[0745] As one embodiment, the first measurement report is AI generated, and the first measurement report in this application is obtained through the inference of the AI / ML inference function 1005.

[0746] As one embodiment, the ML model is based on a NN.

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

[0748] As one embodiment, the ML model is based on a CNN.

[0749] As one embodiment, the ML model is based on a Transformer architecture.

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

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

[0752] As one embodiment, the ML model is based on a GAN.

[0753] As one embodiment, the ML model is based on a lightweight neural network.

[0754] As one sub-embodiment of this embodiment, the lightweight neural network includes one or more of MobileNet, ShuffleNet, and SqueezeNet.

[0755] Embodiment 11

[0756] Embodiment 11 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application, as shown in FIG. 11. In FIG. 11, the artificial intelligence or machine learning based processing system includes a first processing machine, a second processing machine, a third processing machine, and a fourth processing machine.

[0757] In embodiment 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-type parameter group according to the first data set, and sends the generated target first-type parameter group to the third processor; the third processor processes the second data set by using the target first-type parameter group to obtain a first-type output, and optionally, the third processor sends the first-type output to the fourth processor. In FIG. 11, the first-type feedback and the second-type feedback are optional; the second processor comprises an ML training function; and the third processor comprises an ML inference function.

[0758] As an embodiment, the fourth processor comprises an ML test function.

[0759] As an embodiment, the fourth processor comprises performance monitoring / evaluation of the ML model.

[0760] As an embodiment, the third processor sends the first-type feedback to the second processor; the first-type feedback is used to trigger re-computation or update of the target first-type parameter group, i.e., trigger ML initial training or ML re-training.

[0761] As an embodiment, the fourth processor sends the second-type feedback to the first processor; the second-type feedback is used to generate the first data set or the second data set, or the second-type feedback is used to trigger sending of the first data set or sending of the second data set.

[0762] As an embodiment, the first processor generates the first data set and the second data set according to measurement of a reference signal.

[0763] As an embodiment, the third processor belongs to the first node, and the fourth processor belongs to the second node.

[0764] As an embodiment, the first data set comprises training data.

[0765] As an embodiment, the second processor is used to train an ML model, and the trained model is described by the target first-type parameter group.

[0766] As an embodiment, the second processor belongs to the first node; and the above method avoids passing the first data set to the second node.

[0767] As an embodiment, the second processor belongs to the second node; and the above method supports joint training and optimizes system performance.

[0768] As an embodiment, the second processor belongs to a core network; and the method supports joint training of the whole network, further optimizing the system performance.

[0769] As an embodiment, the second data set includes inference data.

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

[0771] As an embodiment, the first measurement report is generated based on AI, and the second data set includes the second reference signal.

[0772] As an embodiment, the first measurement report is generated based on AI, and the third processor belongs to the first node.

[0773] As an embodiment, the third processor constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

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

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

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

[0777] As an embodiment, the first measurement report is generated based on AI, and the first-type output includes the first measurement report.

[0778] As an embodiment, the first measurement report is generated based on AI, and the first-type output triggers the first node to send the first measurement report.

[0779] 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 output.

[0780] 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 output.

[0781] As an embodiment, the third processor generates a recovery data set according to the first type of output, and an error of the recovery data set and the second data set is used to generate the first type of feedback.

[0782] As an embodiment, the first type of feedback is used to reflect performance of the trained model; when the performance of the trained model cannot meet requirements, the second processor re-computes the target first type of parameter group.

[0783] As an embodiment, when the error is too large or the update is not performed for too long a time, the performance of the trained model is considered to not meet requirements.

[0784] As an embodiment, the target first type of parameter group includes one or more of a convolution kernel, a pool core, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[0785] As an embodiment, the target first type of parameter group includes one or more of a convolution kernel size, a convolution layer number, a convolution step, a pool core size, a pool core step, a pooling function, an activation function, or a feature map number.

[0786] Embodiment 12

[0787] Embodiment 12 illustrates an AI / ML based schematic diagram according to an embodiment of the present application, as shown in FIG. 12. In FIG. 12, the first operation and the second operation belong to a first stage, the third operation belongs to a second stage, the fourth operation belongs to a third stage, and the fifth operation belongs to a fourth stage; a line with an arrow indicates an order of a flow.

[0788] 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.

[0789] As an embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

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

[0791] As an embodiment, the first stage includes AI / ML model training and AI / ML testing.

[0792] As an embodiment, the AI / ML model training includes initial training and re-training of one or a set of AI / ML entities.

[0793] As an embodiment, the AI / ML model training relies on training data.

[0794] As an embodiment, the AI / ML model training includes AI / ML entity validation.

[0795] As an embodiment, the AI / ML entity validation is used to evaluate the performance of the AI / ML entity.

[0796] As an embodiment, the AI / ML entity validation relies on validation data.

[0797] As an embodiment, if the result of AI / ML entity validation does not meet expectations, the AI / ML model will be re-trained.

[0798] As an embodiment, the AI / ML testing includes testing the validated AI / ML entity to evaluate the performance of the trained AI / ML model.

[0799] As an embodiment, if the result of AI / ML testing meets expectations, the AI / ML entity proceeds to the next stage; otherwise, the AI / ML model will be re-trained.

[0800] As an embodiment, the AI / ML testing relies on testing data.

[0801] As an embodiment, the second stage includes AI / ML simulation, which simulates the inference of the AI / ML entity in a simulation environment.

[0802] As an embodiment, the AI / ML simulation estimates the performance of the inference of the AI / ML entity in a simulation environment before using the AI / ML entity.

[0803] As an embodiment, the second stage is optional.

[0804] As one embodiment, the third stage includes AI / ML entity loading for obtaining trained AI / ML entity for obtaining desired AI / ML inference functionality.

[0805] As one embodiment, the third stage is optional.

[0806] As one embodiment, the third stage is not needed when training functionality and inference functionality are co-located.

[0807] As one embodiment, the fourth stage includes AI / ML inference.

[0808] As one embodiment, the first measurement report is AI-generated, part or all of which is generated at the fourth stage.

[0809] Embodiment 13

[0810] Embodiment 13 illustrates a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application, as shown in FIG. 13. In FIG. 13, the processing apparatus in the first node 1300 includes a first receiver 1301 and a first transmitter 1302.

[0811] In embodiment 13, the first transmitter 1302 transmits a first measurement report in a first cell; the first receiver 1301 receives a first signaling; and the first transmitter 1302 transmits a first signal.

[0812] In embodiment 13, the first measurement report includes at least one of a channel quality of the first cell or a channel quality of a 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 AI-generated or not AI-generated; and when the first signaling includes the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0813] As one embodiment, when the first measurement report is AI-generated, the first signaling includes the first domain; and when the first measurement report is not AI-generated, the first signaling does not include the first domain.

[0814] As one embodiment, the first signaling includes the first domain, the first domain included in the first signaling indicating whether the transmission power value of the first signal depends on a first path loss and a second path loss simultaneously; the first path loss and the second path loss are for the first cell and the second cell respectively.

[0815] As an embodiment, the first signaling comprises the first field, and the first field comprised in the first signaling indicates a first value, and the transmission power value of the first signal depends on the first value.

[0816] 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; and the channel quality of the second cell is better than the channel quality of the first cell.

[0817] As an embodiment, the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0818] As an embodiment, the first receiver 1301 receives second signaling, and the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively; at least one channel measurement value for the first cell is obtained by measurement of the measurement object in the measurement time for the first cell, and at least one channel measurement value for the second cell is obtained by measurement of the measurement object in the measurement time for the second cell; and when the generation manner of the first measurement report is AI-based generation, 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 is used to generate the first measurement report.

[0819] As an embodiment, the first transmitter 1302 transmits the first signal on the second cell.

[0820] As an embodiment, the physical layer channel occupied by the first signal is a PUSCH.

[0821] As an embodiment, the physical layer channel occupied by the first signal is a PUCCH.

[0822] As an embodiment, the physical layer channel occupied by the first signal is a PRACH.

[0823] As an embodiment, the first measurement report is AI-based generation, and the first node predicts the content of the first measurement report according to the measurement result through an AI model, and transmits the first measurement report.

[0824] As an embodiment, the first measurement report is AI generated, the first node predicts the first measurement report according to the measurement result of the first cell and the measurement result of the second cell by an AI model, and sends the first measurement report.

[0825] As an embodiment, the first measurement report is AI generated, the first node predicts the first measurement report according to the measurement result of the first cell and the measurement result of the second cell by an AI model, and sends the first measurement report.

[0826] As an embodiment, the first measurement report is AI generated, the first node predicts the first measurement report according to the measurement result of the first cell and the measurement result of the second cell by an AI model, and sends the first measurement report.

[0827] As an embodiment, the first node is a user equipment.

[0828] As an embodiment, the first node is a relay node equipment.

[0829] 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, the data source 467} in embodiment 4.

[0830] As an embodiment, the first transmitter 1302 includes at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, the data source 467} in embodiment 4.

[0831] Embodiment 14

[0832] Embodiment 14 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application, as shown in FIG. 14. In FIG. 14, the processing device in the second node 1400 includes a second transmitter 1401 and a second receiver 1402.

[0833] 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.

[0834] In Embodiment 14, the first measurement report includes at least one of a channel quality of the first cell or a channel quality of a 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 AI-based or not AI-based; when the first signaling includes the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

[0835] As one embodiment, when the first measurement report is AI-based, the first signaling includes the first domain; when the first measurement report is not AI-based, the first signaling does not include the first domain.

[0836] As one embodiment, the first signaling includes the first domain, the first domain included in the first signaling indicates whether the transmission power value of the first signal depends on a first path loss and a second path loss simultaneously; the first path loss and the second path loss are for the first cell and the second cell respectively.

[0837] As one embodiment, the first signaling includes the first domain, the first domain included in the first signaling indicates a first numerical value, the transmission power value of the first signal depends on the first numerical value.

[0838] As one embodiment, the second transmitter 1401 transmits a first reference signal and a second reference signal; the channel quality of the first cell depends on reception of the first reference signal, the channel quality of the second cell depends on reception of the second reference signal; the channel quality of the second cell is better than the channel quality of the first cell.

[0839] As one embodiment, the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

[0840] As an embodiment, the second transmitter 1401 transmits second signaling, the second signaling configuring measurement objects and measurement time for the first cell and the second cell respectively; obtaining at least one channel measurement value for the first cell through measurement of the measurement objects in the measurement time for the first cell, obtaining at least one channel measurement value for the second cell through measurement of the measurement objects in the measurement time for the second cell; when the generation manner of the first measurement report is AI-based generation, 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 is used to generate the first measurement report.

[0841] As an embodiment, the second receiver 1402 receives the first signal on the second cell.

[0842] As an embodiment, the second node is a maintaining base station of the first cell and the second cell.

[0843] As an embodiment, the second node is associated to a plurality of cells, the plurality of cells including the first cell and the second cell.

[0844] As an embodiment, the second node manages the first cell and the second cell.

[0845] As an embodiment, the physical layer channel occupied by the first signal is PUSCH.

[0846] As an embodiment, the physical layer channel occupied by the first signal is PUCCH.

[0847] As an embodiment, the physical layer channel occupied by the first signal is PRACH.

[0848] As an embodiment, the first measurement report is AI-based generation, the first node predicts the content of the first measurement report through an AI model according to measurement results, and transmits the first measurement report.

[0849] As an embodiment, the first measurement report is AI-based generation, the first node predicts transmission of the first measurement report through an AI model according to measurement results, and transmits the first measurement report.

[0850] As an embodiment, the first measurement report is AI-based generation, the first node predicts current measurement results of the first cell and the second cell through an AI model according to previous measurement results of the first cell and the second cell, and further generates the first measurement report, and transmits the first measurement report.

[0851] As an embodiment, the first measurement report is generated based on AI, the first node predicts future measurement results of the first cell and the second cell according to current measurement results of the first cell and the second cell through an AI model, and then generates the first measurement report and sends the first measurement report.

[0852] As an embodiment, the second node is a base station device.

[0853] As an embodiment, the second node is a user equipment.

[0854] As an embodiment, the second node is a TRP.

[0855] 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, the memory 476} in Embodiment 4.

[0856] As an embodiment, the second receiver 1402 includes at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} in Embodiment 4.

[0857] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to related hardware, and the programs can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, an optical disk or the like. Alternatively, all or part of the steps of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebook computers, vehicle-mounted communication devices, vehicles, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID (Radio Frequency Identification) terminals, NB-IoT (Narrow Band Internet of Things) terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNB (evolved Node B), gNB, TRP, GNSS (Global Navigation Satellite System), relay satellites, satellite base stations, air base stations, RSUs, unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, and the like.

[0858] Those skilled in the art will understand that the application can be implemented by other specified forms without departing from the core or essential characteristics thereof. Therefore, the presently disclosed embodiments should in no way be considered as descriptive rather than limiting. The scope of the application is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and range of the claims are considered to be included therein.

Claims

1. A method for a node in wireless communication and artificial intelligence, comprising: transmitting a first measurement report in a first cell; receiving a first signaling and transmitting a first signal; wherein the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is AI-based or non-AI-based; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

2. The method of claim 1, wherein: when the first measurement report is AI-based, the first signaling comprises the first domain; when the first measurement report is non-AI-based, the first signaling does not comprise the first domain.

3. The method of claim 1 or 2, wherein: the first signaling comprises the first domain, the first domain comprised by the first signaling indicates whether the transmission power value of the first signal depends on a first path loss and a second path loss simultaneously; the first path loss and the second path loss are for the first cell and the second cell respectively.

4. The method of claim 1 or 2, wherein: the first signaling comprises the first domain, the first domain comprised by the first signaling indicates a first value, the transmission power value of the first signal depends on the first value.

5. The method of any one of claims 1-4, comprising: receiving a first reference signal and a second reference signal; wherein the channel quality of the first cell depends on reception of the first reference signal, the channel quality of the second cell depends on 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 of any one of claims 1-5, wherein: the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

7. The method of any one of claims 1-6, comprising: receiving a second signaling, the second signaling configures a measurement object and a measurement time for the first cell and the second cell respectively. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ The at least one channel measurement value for the first cell is obtained by measuring the measurement object in the measurement time for the first cell, and the at least one channel measurement value for the second cell is obtained by measuring the measurement object in the measurement time for the second cell; 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.

8. A terminal, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is configured to store computer program codes, the computer program codes comprising computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the terminal to perform the method according to any one of claims 1-7.

9. A method for a node in wireless communication and artificial intelligence, comprising: receiving a first measurement report in a first cell; sending a first signaling and receiving a first signal; wherein the first measurement report comprises at least one of a channel quality of the first cell or a channel quality of a 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 comprises a first domain depends on the first measurement report; the first measurement report is generated based on AI or not generated based on AI; when the first signaling comprises the first domain, a transmission power value of the first signal depends on the first domain of the first signaling.

10. The method of claim 9, wherein: when the first measurement report is generated based on AI, the first signaling comprises the first domain; when the first measurement report is not generated based on AI, the first signaling does not comprise the first domain.

11. The method of claim 9 or 10, wherein: the first signaling comprises the first domain, and the first domain comprised by the first signaling indicates whether the transmission power value of the first signal depends on a first path loss and a 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 of claim 9 or 10, wherein: the first signaling comprises the first domain, and the first domain comprised by the first signaling indicates a first numerical value, and the transmission power value of the first signal depends on the first numerical value.

13. The method of any one of claims 9-12, comprising: sending a first reference signal and a second reference signal; wherein the channel quality of the first cell depends on reception of the first reference signal, and the channel quality of the second cell depends on 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 of any one of claims 9-13, wherein the first signaling is one of an RRCReconfiguration message or an LTM Cell switch command MAC CE.

15. The method of any one of claims 9-14, comprising: transmitting second signaling that configures measurement objects and measurement times for the first cell and the second cell, respectively; wherein at least one channel measurement for the first cell is obtained from measurements of the measurement objects for the first cell at the measurement times, and at least one channel measurement for the second cell is obtained from measurements of the measurement objects for the second cell at the measurement times; and wherein at least one of the at least one channel measurement for the first cell or the at least one channel measurement for the second cell is used to generate the first measurement report when the first measurement report is generated based on an AI.

16. A base station, comprising: one or more processors and memory; the memory coupled to the one or more processors; the memory configured to store computer program code including computer instructions that, when executed by the one or more processors, cause the base station to perform the method of any one of claims 9-15. ​ ​ ​ ​ ​ ​

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