Method and apparatus in communication node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a communication node used for wireless communication. The communication node determines a first time interval; in the first cell selection process, the communication node selects a target cell on a first frequency; the communication node selects a target cell on a first frequency to depend on the first time interval; the target cell satisfies at least a cell selection criterion. According to the scheme provided by the invention, the frequency search times in the cell selection process are reduced, unnecessary measurement is avoided, and the cell selection efficiency is improved.

Description

Technical Field

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

[0002] When a UE (User Equipment) is in the RRC_IDLE state or the RRC_INACTIVE state, it resides in a serving cell through the cell selection process and the cell reselection process. The UE decides to perform cell selection based on whether there is prior information or uses stored information to perform cell selection.

[0003] With the continuous development of wireless communications, the demands are becoming increasingly diversified. Therefore, 3GPP (the 3rd Generation Partnership Project) will further enhance some key technologies in the future evolution. For example, it will apply AI (Artificial Intelligence) or ML (Machine Learning) to mobility to improve mobility performance; and further study Network Energy Saving (NES) to reduce the impact on the environment. Summary of the invention

[0004] In the traditional technology, during the cell selection process, the UE needs to scan all frequency bands of the system one by one, and determine the strongest cell on each frequency band according to cell selection criteria and other conditions. The applicant has found through research that the existing solutions have the problem of low cell search efficiency or waste of UE power consumption.

[0005] In view of the above problems, the present application provides a solution. In the description of the above problems, the NR system is used as an example. The present application is also applicable to scenarios such as LTE (Long-Term Evolution) or LTE-A (Long-Term Evolution Advanced) systems, and achieves technical effects similar to those of the NR system; further, although the present application provides a specific implementation method for cell selection, the present application can also be used in scenarios such as cell reselection to achieve technical effects similar to those of cell selection. Furthermore, adopting a unified design scheme for different scenarios also helps to reduce hardware complexity and cost. Furthermore, although the original intention of the present application is for the Uu air interface, the present application can also be used for the PC5 port to achieve technical effects similar to those of the Uu air interface. Furthermore, although the original intention of the present application is for the terminal and base station scenario, the present application is also applicable to V2X (Vehicle-to-Everything) scenarios, communication scenarios between terminals and relays, and relays and base stations, and achieves technical effects similar to those in terminal and base station scenarios. Furthermore, although the original intention of this application is for the terminal and base station scenario, this application is also applicable to the IAB (Integrated Access and Backhaul) communication scenario, and achieves similar technical effects in the terminal and base station scenario. Furthermore, although the original intention of this application is for the terrestrial network (TN) scenario, this application is also applicable to the non-terrestrial network (NTN) communication scenario, and achieves similar technical effects in the TN scenario. In addition, the use of a unified solution for different scenarios can also help reduce hardware complexity and costs.

[0006] As an example, the interpretation of the terms in the present application refers to the definition of the TS38 series of specification protocols of 3GPP.

[0007] As an example, the interpretation of the terms in the present application refers to the definition of the TS37 series of specification protocols of 3GPP.

[0008] It should be noted that, in the absence of conflict, the embodiments and features in any node of the present application can be applied to any other node. In the absence of conflict, the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other.

[0009] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0010] determining a first time interval; selecting a target cell on a first frequency during a first cell selection process;

[0011] The behavior of selecting a target cell on a first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0012] As an embodiment, the problem to be solved by the present application includes: how to improve the efficiency of cell selection as much as possible.

[0013] As an embodiment, the problem to be solved by the present application includes: how to avoid unnecessary measurements.

[0014] As an embodiment, the problem to be solved by the present application includes: how to reduce the number of frequency searches in the cell selection process.

[0015] As an embodiment, the characteristics of the above method include: selecting the target cell on the first frequency depends on the first time interval.

[0016] As an embodiment, the characteristics of the above method include: selecting a suitable cell on the first frequency depends on the first time interval.

[0017] As an embodiment, the above method is helpful to improve the efficiency of cell selection.

[0018] As an embodiment, the above method avoids unnecessary measurements.

[0019] As an embodiment, the above method is helpful to reduce the number of frequency searches in the cell selection process.

[0020] As an embodiment, the above method is conducive to AI / ML implementation.

[0021] As an embodiment, the above method is easy to implement.

[0022] As an embodiment, the above method has little impact on the UE.

[0023] According to one aspect of the present application, it is characterized in that the behavior of selecting a target cell on a first frequency depends on the first time interval, including: within the first time interval, the target cell needs to be the strongest cell on the first frequency; outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

[0024] As an embodiment, the characteristics of the above method include: in the process of selecting a target cell on a first frequency, whether the target cell needs to be the strongest cell on the first frequency depends on a first time interval.

[0025] As an embodiment, the above method is helpful to improve the efficiency of cell selection.

[0026] As an embodiment, the above method avoids unnecessary measurements.

[0027] As an embodiment, the above method is helpful to reduce the number of frequency searches in the cell selection process.

[0028] As an embodiment, the above method is easy to implement.

[0029] As an embodiment, the above method has little impact on UE.

[0030] According to one aspect of the present application, it is characterized by comprising:

[0031] The first processor determines a first frequency set, the first frequency set including at least the first frequency;

[0032] The behavior of selecting a target cell on a first frequency depends on the first frequency set, and the first time interval is associated with the first frequency set.

[0033] As an embodiment, the characteristics of the above method include: the first frequency set includes at least the first frequency.

[0034] As an embodiment, the characteristics of the above method include: selecting the target cell on the first frequency depends on the first frequency set.

[0035] As an embodiment, the characteristics of the above method include: the first time interval is associated with the first frequency set.

[0036] As an embodiment, the above method is conducive to AI / ML implementation.

[0037] As an embodiment, the above method is easy to implement.

[0038] As an embodiment, the above method has little impact on UE.

[0039] According to one aspect of the present application, it is characterized in that the first frequency set is a frequency set among the multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

[0040] As an embodiment, the above method is conducive to AI / ML implementation.

[0041] As an embodiment, the above method is easy to implement.

[0042] As an embodiment, the above method has little impact on the UE.

[0043] According to one aspect of the present application, it is characterized in that the first time interval is a time interval among multiple time intervals; and any time interval among the multiple time intervals is associated with a frequency set among the multiple frequency sets.

[0044] As an embodiment, the above method is conducive to AI / ML implementation.

[0045] As an embodiment, the above method is easy to implement.

[0046] As an embodiment, the above method has little impact on the UE.

[0047] According to one aspect of the present application, it is characterized by comprising:

[0048] The first processor starts the first time interval in conjunction with initiating the first cell selection process; and stops the first time interval in response to the behavior selecting a target cell on a first frequency while the first time interval is running.

[0049] As an embodiment, the above method is helpful to improve the efficiency of cell selection.

[0050] As an embodiment, the above method avoids unnecessary measurements.

[0051] As an embodiment, the above method is helpful to reduce the number of frequency searches in the cell selection process.

[0052] As an embodiment, the above method is conducive to AI / ML implementation.

[0053] As an embodiment, the above method is easy to implement.

[0054] As an embodiment, the above method has little impact on the UE.

[0055] According to one aspect of the present application, it is characterized by comprising:

[0056] The first processor receives first information, the first time interval being dependent on the first information;

[0057] The sender of the first information is the first node.

[0058] As an embodiment, the above method is conducive to AI / ML implementation.

[0059] As an embodiment, the above method is easy to implement.

[0060] As an embodiment, the above method has little impact on the UE.

[0061] According to one aspect of the present application, it is characterized by comprising:

[0062] the first processor detecting at least a first signal at the first frequency;

[0063] The behavior of selecting a target cell on a first frequency is dependent on measurements of the at least first signal.

[0064] As an embodiment, the above method is helpful to improve the efficiency of cell selection.

[0065] As an embodiment, the above method avoids unnecessary measurements.

[0066] As an embodiment, the above method is helpful to reduce the number of frequency searches in the cell selection process.

[0067] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0068] transmitting at least a first signal on a first frequency;

[0069] In which, during the first cell selection process, a receiver of the at least first signal selects a target cell on the first frequency; the behavior of selecting the target cell on the first frequency depends on the first time interval; the behavior of selecting the target cell on the first frequency depends on the measurement of the at least first signal; and the target cell satisfies at least the cell selection criteria.

[0070] According to one aspect of the present application, it is characterized in that the behavior of selecting a target cell on a first frequency depends on the first time interval, including: if the target cell is selected within the first time interval, the target cell needs to be the strongest cell on the first frequency; if the target cell is selected outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

[0071] According to one aspect of the present application, it is characterized in that the one receiver of the at least first signal determines a first frequency set, the first frequency set includes at least the first frequency; the behavior of selecting a target cell on the first frequency depends on the first frequency set, and the first time interval is associated with the first frequency set.

[0072] According to one aspect of the present application, it is characterized in that the first frequency set is a frequency set among the multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

[0073] According to one aspect of the present application, it is characterized in that the first time interval is a time interval among multiple time intervals; and any time interval among the multiple time intervals is associated with a frequency set among the multiple frequency sets.

[0074] According to one aspect of the present application, it is characterized in that, accompanying the initiation of the first cell selection process, the at least one receiver of the first signal starts the first time interval; when the first time interval is running, as a response to the behavior selecting the target cell on the first frequency, the at least one receiver of the first signal stops the first time interval.

[0075] According to one aspect of the present application, it is characterized in that the one receiver of the at least first signal receives first information, the first time interval depends on the first information; and the sender of the first information is the one receiver of the at least first signal.

[0076] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0077] The first processor determines a first time interval; and in a first cell selection process, selects a target cell on a first frequency;

[0078] The behavior of selecting a target cell on a first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0079] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0080] a second transmitter that transmits at least a first signal on a first frequency;

[0081] In which, during the first cell selection process, a receiver of the at least first signal selects a target cell on the first frequency; the behavior of selecting the target cell on the first frequency depends on the first time interval; the behavior of selecting the target cell on the first frequency depends on the measurement of the at least first signal; and the target cell satisfies at least the cell selection criteria.

[0082] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0083] -. It is conducive to selecting more appropriate parameters;

[0084] -. It is helpful to reduce the number of parameter selections;

[0085] -. It is conducive to improving the efficiency of cell selection;

[0086] -. It helps to avoid unnecessary measurements;

[0087] -. It is helpful to reduce the number of frequency searches during cell reselection;

[0088] -. It is conducive to realizing mobility based on AI or ML. BRIEF DESCRIPTION OF THE DRAWINGS

[0089] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0090] Figure 1 A flowchart of a cell selection process according to an embodiment of the present application is shown;

[0091] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0092] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0093] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0094] Figure 5 A wireless signal transmission flow chart according to an embodiment of the present application is shown;

[0095] Figure 6 A schematic diagram showing a first node selecting a target cell on a first frequency depending on a first time interval according to an embodiment of the present application is shown;

[0096] Figure 7 An example diagram showing a first time interval being associated with a first frequency set and a first node selecting a target cell on a first frequency depending on the first frequency set according to an embodiment of the present application;

[0097] Figure 8 An example diagram showing that the first frequency set is one of multiple frequency sets and any frequency set in the multiple frequency sets includes at least one frequency according to an embodiment of the present application;

[0098] Fig. 9 An example diagram showing that the first time interval is one of multiple time intervals and any time interval in the multiple time intervals is associated with one of multiple frequency sets according to an embodiment of the present application;

[0099] Fig.10 A schematic diagram of an artificial intelligence processing system according to another embodiment of the present application is shown;

[0100] Fig.11 An example diagram showing first time interval dependence on first information according to an embodiment of the present application is shown;

[0101] Fig.12 A schematic diagram of an artificial intelligence processing system according to an embodiment of the present application is shown;

[0102] Fig.13 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0103] Fig.14 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0104] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, unless there is a conflict, the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily.

[0105] Example 1

[0106] Embodiment 1 illustrates a flowchart of a cell selection process according to an embodiment of the present application, as shown in the attached figure. Figure 1 Attached Figure 1 In the figure, each box represents a step. It should be emphasized that the order of the boxes in the figure does not represent the temporal relationship between the steps represented.

[0107] In Example 1, the first node in the present application determines a first time interval in step 101; in step 102, during the first cell selection process, a target cell is selected at a first frequency; wherein the behavior of selecting a target cell at the first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0108] As an embodiment, the behavior of determining the first time interval refers to: selecting the first time interval.

[0109] As an embodiment, the behavior of determining the first time interval refers to: obtaining a current moment, and determining the first time interval according to the current moment.

[0110] As a sub-embodiment of the above embodiment, the current time is obtained according to GPS.

[0111] As a sub-embodiment of the above embodiment, the current time is obtained according to GNSS.

[0112] As a sub-embodiment of the above embodiment, the current time is obtained according to Greenwich Mean Time.

[0113] As a sub-embodiment of the above embodiment, the current time is obtained according to a timer.

[0114] As a sub-embodiment of the above embodiment, the current time is obtained according to a clock.

[0115] As a sub-embodiment of the above embodiment, the current time is obtained according to a satellite.

[0116] As a sub-embodiment of the above embodiment, the current moment is obtained by the UE.

[0117] As an embodiment, the behavior of determining the first time interval refers to: configuring the first time interval to the first node.

[0118] As an embodiment, the behavior of determining the first time interval refers to: the first node reading the stored information to obtain the first time interval.

[0119] As an embodiment, the behavior determining the first time interval means that the first node determines the first time interval through the output of an artificial intelligence processing system.

[0120] As an embodiment, the time domain length of the first time interval is predefined.

[0121] As an embodiment, the first time interval is periodic.

[0122] As an embodiment, the first time interval is one-time.

[0123] As an embodiment, the first time interval is predefined.

[0124] As an embodiment, the first time interval is preconfigured.

[0125] As an embodiment, the first time interval depends on the starting time of the first cell selection process.

[0126] As an embodiment, the first time interval is time dependent.

[0127] As an embodiment, the first time interval depends on GPS time.

[0128] As an embodiment, the first time interval depends on Greenwich Mean Time.

[0129] As an embodiment, the time domain length of the first time interval is preconfigured.

[0130] As an embodiment, the time domain start time of the first time interval is preconfigured.

[0131] As an embodiment, the time domain length unit of the first time interval depends on the frame structure.

[0132] As an embodiment, the time domain length unit of the first time interval is second (s).

[0133] As an embodiment, the time domain length unit of the first time interval is millisecond (ms).

[0134] As an embodiment, the time domain length unit of the first time interval is microseconds (μs).

[0135] As an embodiment, the first time interval is configured by RRC.

[0136] As an embodiment, the first time interval is determined by the first node.

[0137] As an embodiment, the first time interval is associated with first location information.

[0138] As a sub-embodiment of the above embodiment, the first location information includes an area.

[0139] As a sub-embodiment of the above embodiment, the first location information includes at least one cell.

[0140] As a sub-embodiment of the above embodiment, the first location information includes at least one of longitude or latitude.

[0141] As a sub-embodiment of the above embodiment, the first location information includes a reference point and a reference distance.

[0142] As a sub-embodiment of the above embodiment, only when the location of the first node belongs to the area determined by the first location information, the behavior selects the target cell on the first frequency depending on the first time interval.

[0143] As a sub-embodiment of the above embodiment, the starting time of the first time interval is associated with the first location information.

[0144] As a sub-embodiment of the above embodiment, the first location information is determined by the first node.

[0145] As a sub-embodiment of the above embodiment, the first location information is determined by the first node based on UE implementation.

[0146] As a sub-embodiment of the above embodiment, the first position information is obtained based on measurement.

[0147] As a sub-embodiment of the above embodiment, the first position information is obtained based on positioning.

[0148] As a sub-embodiment of the above embodiment, the first location information is obtained based on GPS.

[0149] As a sub-embodiment of the above embodiment, the first location information is obtained based on GNSS.

[0150] As a sub-embodiment of the above embodiment, the first location information is obtained based on a positioning function in a mobile communication system.

[0151] As a sub-embodiment of the above embodiment, the first location information is obtained based on a roadside unit (RSU).

[0152] As a sub-embodiment of the above embodiment, the first location information is pre-configured.

[0153] As a sub-embodiment of the above embodiment, the first location information is configured by RRC.

[0154] As an embodiment, the one time interval is one time interval among multiple time intervals.

[0155] As an embodiment, the multiple time intervals occur periodically.

[0156] As an embodiment, the first time interval is semi-statically configured.

[0157] As an embodiment, the multiple time intervals are determined by the first node.

[0158] As an embodiment, the multiple time intervals are continuous.

[0159] As an embodiment, the multiple time intervals are discontinuous.

[0160] As an embodiment, the phrase first cell selection process includes measurement of at least a first signal.

[0161] As an embodiment, the phrase measurement of at least the first signal includes measurement on a neighboring cell of the second node.

[0162] As an embodiment, the first signal is SSB.

[0163] As a sub-embodiment, the first signal is a single SSB.

[0164] As a sub-embodiment, the first signal is a plurality of SSBs.

[0165] As an embodiment, the SSB is SS (Synchronization Signals) / PBCH.

[0166] As an embodiment, the SSB is a Synchronization Signals Block.

[0167] As an embodiment, the first signal is PBCH.

[0168] As an embodiment, the first signal is CSI (Channel State Information)-RS.

[0169] As an embodiment, the first signal is TRS (CSI-RS for tracking).

[0170] As an embodiment, the first signal is a synchronization signal.

[0171] As an embodiment, the first signal is a downlink signal.

[0172] As an embodiment, the measurement is a received power measurement.

[0173] As an embodiment, the measurement is a reception quality measurement.

[0174] As an embodiment, the measuring includes receiving a first message.

[0175] As an embodiment, the measurement result of the measurement is RRSP (Reference Signal Received Power).

[0176] As an embodiment, the measured measurement result is RRSQ (Reference Signal Received Quality, reference signal received quality).

[0177] As an embodiment, the measurement result of the measurement is SINR (Signal to Interferenceplus Noise Ratio).

[0178] As an embodiment, the measurement result of the measurement is not filtered.

[0179] As an embodiment, the measurement result of the measurement is filtered by layer 1 (layer1, L1).

[0180] As an embodiment, the measurement result of the measurement is filtered by layer 3 (layer3, L3).

[0181] As an embodiment, the measurement result of the measurement is an L1 measurement result.

[0182] As an embodiment, the measurement result of the measurement is an L3 measurement result.

[0183] As an embodiment, the behavior of selecting a target cell on a first frequency includes: searching for cells on the first frequency.

[0184] As an embodiment, the behavior of selecting a target cell on a first frequency includes: finding that the target cell is a suitable cell on the first frequency.

[0185] As an embodiment, the behavior of selecting a target cell on the first frequency includes: selecting the target cell.

[0186] As an embodiment, the behavior of selecting a target cell on a first frequency includes: searching for cells on the first frequency, and finding that the target cell is a suitable cell on the first frequency, and selecting the target cell.

[0187] As an embodiment, the behavior of searching for cells on the first frequency includes: searching for the strongest cell (the strongest cell) on the first frequency; and the target cell is the strongest cell on the first frequency.

[0188] As an embodiment, the behavior of searching for cells on the first frequency includes: searching for the next strongest cell on the first frequency; and the target cell is the next strongest cell on the first frequency.

[0189] As an embodiment, the behavior of searching for cells on the first frequency includes: searching for the strongest or second strongest cell on the first frequency; and the target cell is the strongest or second strongest cell on the first frequency.

[0190] As an embodiment, the behavior of selecting a target cell on a first frequency depending on the first time interval means that selecting a target cell on a first frequency is related to the first time interval.

[0191] As an embodiment, the behavior of selecting a target cell on a first frequency depending on the first time interval means that: the time interval to which the behavior of selecting a target cell on a first frequency belongs belongs to the first time interval.

[0192] As an embodiment, the behavior of selecting a target cell on a first frequency depending on the first time interval means: performing the behavior of selecting a target cell on a first frequency within the first time interval.

[0193] As an embodiment, the behavior of selecting a target cell on a first frequency depending on the first time interval means that the time when the target cell is selected belongs to the first time interval.

[0194] As an embodiment, the first frequency is considered only when performing cell selection within the first time interval.

[0195] As an embodiment, the first frequency is considered when performing cell selection in at least the first time interval.

[0196] As an embodiment, the first frequency is considered when performing cell selection within the first time interval.

[0197] As an embodiment, the phrase that the target cell satisfies at least a cell selection criterion means that the target cell is a suitable cell.

[0198] As an embodiment, the phrase that the target cell satisfies at least a cell selection criterion means that the target cell is an acceptable cell.

[0199] As an embodiment, the phrase that the target cell satisfies at least a cell selection criterion means that: the operator of the cell is at least the operator to which the first node belongs or an equivalent operator; and the cell satisfies the cell selection criterion.

[0200] As an embodiment, the phrase that the target cell satisfies at least a cell selection criterion means: the cell satisfies the restriction of the PLMN in TS38.304; the cell satisfies the cell selection criterion.

[0201] As an embodiment, the at least cell selection criterion is a criterion for determining a suitable cell.

[0202] As an embodiment, the at least cell selection criterion is a criterion for determining an acceptable cell.

[0203] As an embodiment, the at least cell selection criterion is a cell selection criterion.

[0204] As an embodiment, the target cell is the first cell on the first frequency that satisfies at least the cell selection criterion.

[0205] As an embodiment, the target cell is one of a plurality of cells on the first frequency that satisfy at least the cell selection criterion.

[0206] As an embodiment, the target cell is any one of a plurality of cells on the first frequency that meet at least the cell selection criterion.

[0207] As an embodiment, the target cell is the strongest cell among a plurality of cells satisfying at least the cell selection criterion on the first frequency.

[0208] As an embodiment, the behavior satisfies the cell selection criterion, which means: satisfies the cell selection criterion S defined in TS38.304.

[0209] As an embodiment, the behavior satisfies the cell selection criterion depending on the cell selection reception level and the cell selection quality.

[0210] As an embodiment, the unit of the cell selection reception level is decibel (dB).

[0211] As an embodiment, the unit of the cell selection quality is decibel (dB).

[0212] As an embodiment, the cell selection reception level refers to a cell selection reception level value (Cellselection RX level value).

[0213] As an embodiment, the cell selection quality refers to a cell selection quality value (Cell selection quality value).

[0214] As an embodiment, the cell selection reception level is Srxlev.

[0215] As an embodiment, the cell selection reception level is Squal.

[0216] As an embodiment, the behavior satisfying the cell selection criterion means that the cell selection reception level value is greater than 0 and the cell selection quality value is greater than 0.

[0217] As an embodiment, the behavior satisfying the cell selection criteria means that Srxlev>0 and Squal>0.

[0218] As an embodiment, the definition of the cell selection reception level refers to TS38.304.

[0219] As an embodiment, the definition of the cell selection reception level value refers to TS38.304.

[0220] As an embodiment, the definition of the cell selection quality value refers to TS38.304.

[0221] As an embodiment, the definition of Srxlev refers to TS38.304.

[0222] As an embodiment, the definition of Squal refers to TS38.304.

[0223] As an embodiment, the first node has a first UE capability.

[0224] As a sub-embodiment of the above embodiment, the first UE capability includes network energy saving (Network Energy Saving, NES).

[0225] As a sub-embodiment of the above embodiment, the first UE capability includes supporting AI (Artificial Intelligence) or machine learning (Machine Learning).

[0226] As a sub-embodiment of the above embodiment, the first UE capability includes an AI or machine learning module.

[0227] As a sub-embodiment of the above embodiment, the first UE capability includes generating a trained model using training data or generating part of the parameters in the trained model using the trained data.

[0228] As an embodiment, the first node is not in RRC_CONNECTED state.

[0229] As an embodiment, the first node is in RRC_IDLE state.

[0230] As an embodiment, the first node is in RRC_INACTIVE state.

[0231] As an embodiment, the serving cell of the first node is an NR cell.

[0232] As an embodiment, the first node supports NTN, and the target cell of the first node is an NTN cell.

[0233] As an embodiment, the first node does not support NTN, or the target cell of the first node is not an NTN cell.

[0234] As an embodiment, the first node does not receive SIB19, or the SIB19 received by the first node does not include at least one of distanceThresh or referenceLocation, or the first node does not support location-based measurement initiation, or the first node does not obtain the location information of the first node.

[0235] Example 2

[0236] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 Attached Figure 2The network architecture 200 of the 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system is illustrated. The 5G NR / LTE / LTE-A network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable term. The 5GS / EPS 200 includes at least one of a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and an Internet service 230. The 5GS / EPS may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, 5GS / EPS provides packet switching services, but it will be readily understood by those skilled in the art that the various concepts presented throughout this application can be extended to networks or other cellular networks that provide circuit switching services. RAN includes node 203 and other nodes 204. Node 203 provides user and control plane protocol terminations toward UE 201. Node 203 can be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may 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 (transmitting receiving node) or some other suitable terminology. Node 203 provides an access point to 5GC / EPC 210 for UE 201. Examples of UE 201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term.Node 203 is connected to 5GC / EPC210 via an S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between UE201 and 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocal) packets are transmitted through S-GW / UPF212, which itself is connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and packet-switched streaming services.

[0237] As an embodiment, the UE201 corresponds to the first node in the present application.

[0238] As an embodiment, the UE 201 is a user equipment (User Equipment, UE).

[0239] As an embodiment, the UE201 is a base station device (BaseStation, BS).

[0240] As an embodiment, the UE 201 is a relay device.

[0241] As an embodiment, the UE201 is a gateway device.

[0242] As an embodiment, the node 203 corresponds to the second node in the present application.

[0243] As an embodiment, the node 203 is a base station device.

[0244] As an embodiment, the node 203 is a user equipment.

[0245] As an embodiment, the node 203 is a relay device.

[0246] As an embodiment, the node 203 is a gateway device.

[0247] Typically, the UE 201 is a user equipment, and the node 203 is a base station device.

[0248] Typically, the UE 201 is a user equipment, and the node 203 is a user equipment.

[0249] Typically, the UE 201 is a base station device, and the node 203 is a base station device.

[0250] As an embodiment, the user equipment supports transmission of a non-terrestrial network (NTN).

[0251] As an embodiment, the user equipment supports transmission of a terrestrial network (Terrestrial Network).

[0252] As an embodiment, the user equipment supports dual connection (DC) transmission.

[0253] As an embodiment, the user equipment includes an aircraft.

[0254] As an embodiment, the user equipment includes a vehicle-mounted terminal.

[0255] As an embodiment, the user equipment includes a vessel.

[0256] As an embodiment, the user equipment includes an Internet of Things terminal.

[0257] As an embodiment, the user equipment includes a terminal of the industrial Internet of Things.

[0258] As an embodiment, the user equipment includes a device supporting low-latency and high-reliability transmission.

[0259] As an embodiment, the user equipment includes a test device.

[0260] As an embodiment, the user equipment includes a signaling tester.

[0261] As an embodiment, the user equipment includes an IAB (Integrated Access and Backhaul)-MT.

[0262] As an embodiment, the user equipment supports generating reports using AI (Artificial Intelligence) or machine learning (Machine Learning).

[0263] As an embodiment, the user equipment supports generating a trained model using training data or generating partial parameters in the trained model using trained data.

[0264] As an embodiment, the user equipment supports determining the first time interval through training.

[0265] As an embodiment, the user equipment supports determining the first frequency set through training.

[0266] As an embodiment, the user equipment supports determining the first information through training.

[0267] As an embodiment, the user equipment supports the first information through training.

[0268] As an embodiment, the base station device supports transmission in a non-terrestrial network.

[0269] As an embodiment, the base station device supports transmission of a terrestrial network.

[0270] As an embodiment, the base station equipment includes a base transceiver station (Base Transceiver Station, BTS).

[0271] As an embodiment, the base station device includes a Node B (NodeB, NB).

[0272] As an embodiment, the base station device includes a gNB.

[0273] As an embodiment, the base station device includes an eNB.

[0274] As an embodiment, the base station device includes ng-eNB.

[0275] As an embodiment, the base station device includes en-gNB.

[0276] As an embodiment, the base station device includes a CU (Centralized Unit).

[0277] As an embodiment, the base station device includes a DU (Distributed Unit).

[0278] As an embodiment, the base station device includes a TRP (Transmitter Receiver Point).

[0279] As an embodiment, the base station device includes a macro cellular (Marco Cellular) base station.

[0280] As an embodiment, the base station device includes a micro cell base station.

[0281] As an embodiment, the base station device includes a pico cell (Pico Cell) base station.

[0282] As an embodiment, the base station device includes a home base station (Femtocell).

[0283] As an embodiment, the base station device includes a flying platform device.

[0284] As an embodiment, the base station device includes a satellite device.

[0285] As an embodiment, the base station device includes a testing device.

[0286] As an embodiment, the base station equipment includes a signaling tester.

[0287] As an embodiment, the base station device includes a gateway device.

[0288] As an embodiment, the base station device includes an IAB-node.

[0289] As an embodiment, the base station device includes an IAB-donor.

[0290] As an embodiment, the base station device includes an IAB-donor-CU.

[0291] As an embodiment, the base station device includes an IAB-donor-DU.

[0292] As an embodiment, the base station device includes an IAB-DU.

[0293] As an embodiment, the base station device includes IAB-MT.

[0294] As an embodiment, the base station device supports transmission based on Massive-MIMO.

[0295] As an embodiment, the base station device supports decompression of CSI using AI or deep learning.

[0296] Example 3

[0297] Embodiment 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to the present application, as shown in the attached Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture for the control plane 300 is shown in three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to as PHY 301 in this article. Layer 2 (L2 layer) 305 is above PHY 301 and includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides inter-zone mobility support. 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 various radio resources (e.g., resource blocks) in a cell. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and using RRC signaling to configure the lower layers. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). In the user plane 350, the radio protocol architecture is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead. The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356. The SDAP sublayer 356 is responsible for mapping between QoS flows and data radio bearers (DRBs) to support service diversity.

[0298] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0299] As an example, Figure 3The wireless protocol architecture in is applicable to the second node in this application.

[0300] As an embodiment, the first message in the present application is generated at a higher layer of the RRC306.

[0301] As an embodiment, the first message in the present application is generated in the RRC306.

[0302] As an embodiment, at least part of the first message in the present application is generated at a higher layer of the RRC306.

[0303] As an embodiment, at least part of the first message in the present application is generated in the RRC306.

[0304] Example 4

[0305] Embodiment 4 shows a schematic diagram of a first communication device and a second communication device according to the present application, as shown in the attached figure. Figure 4 shown. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 communicating with each other in an access network.

[0306] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0307] The second communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 and an antenna 420 .

[0308] In transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for retransmission of lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, as well as mapping of signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to a subcarrier, multiplexes it with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

[0309] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any spatial stream destined for the first communication device 450. The symbols on each spatial stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program codes and data. The memory 460 may be referred to as a computer-readable medium. In the transmission from the second communication device 410 to the second communication device 450, the controller / processor 459 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing.

[0310] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the second communication device 410 described in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocation, and implements L2 layer functions for user plane and control plane. The controller / processor 459 is also responsible for the retransmission of lost packets and signaling to the second communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated spatial stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0311] In the transmission from the first communication device 450 to the second communication device 410, the function at the second communication device 410 is similar to the reception function at the first communication device 450 described in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 storing program codes and data. The memory 476 can be referred to as a computer-readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides multiplexing between transport and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the UE 450. Upper layer packets from controller / processor 475 may be provided to the core network.

[0312] As an embodiment, the first communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor, and the first communication device 450 at least: determines a first time interval; determines a first frequency set, the first frequency set including at least a first frequency; starts the first time interval accompanied by initiating a first cell selection process; during the first cell selection process, detects at least a first signal on the first frequency and selects a target cell; when the first time interval is running, stops the first time interval as a response to selecting the target cell on the first frequency; wherein, selecting the target cell on the first frequency depends on the first time interval; the target cell satisfies at least a cell selection criterion.

[0313] As an embodiment, the first communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, the actions including: determining a first time interval; determining a first frequency set, wherein the first frequency set includes at least a first frequency; starting the first time interval accompanied by initiating a first cell selection process; during the first cell selection process, detecting at least a first signal on the first frequency and selecting a target cell; when the first time interval is running, stopping the first time interval as a response to selecting the target cell on the first frequency; wherein the selection of the target cell on the first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0314] As an embodiment, the second communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 410 at least: sends at least a first signal on a first frequency; wherein selecting a target cell on the first frequency depends on a first time interval; and the target cell satisfies at least a cell selection criterion.

[0315] As an embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: sending at least a first signal on a first frequency; wherein selecting a target cell on the first frequency depends on a first time interval; and the target cell satisfies at least a cell selection criterion.

[0316] As an embodiment, at least one of the antenna 452, the receiver 454, the receiving processor 456, and the controller / processor 459 is used to receive a first signal.

[0317] As an embodiment, at least one of the antenna 420, the transmitter 418, the transmit processor 416, and the controller / processor 475 is used to transmit a first signal.

[0318] As an embodiment, the first communication device 450 corresponds to the first node in this application.

[0319] As an embodiment, the second communication device 410 corresponds to the second node in this application.

[0320] As an embodiment, the first communication device 450 is a user equipment.

[0321] As an embodiment, the first communication device 450 is a base station device.

[0322] As an embodiment, the first communication device 450 is a relay device.

[0323] As an embodiment, the second communication device 410 is a user equipment.

[0324] As an embodiment, the second communication device 410 is a base station device.

[0325] As an embodiment, the second communication device 410 is a relay device.

[0326] Example 5

[0327] Embodiment 5 illustrates a wireless signal transmission flow chart according to an embodiment of the present application, as shown in the attached Figure 5 It is particularly noted that the order in this example does not limit the signal transmission order and implementation order in this application.

[0328] for First node U01 In step S5101, a first time interval is determined; in step S5102, a first frequency set is determined, the first frequency set including at least a first frequency; in step S5103, the first time interval is started along with initiating the first cell selection process; in step S5104, at least a first signal is detected on the first frequency during the first cell selection process; in step S5105, the target cell is selected on the first frequency; in step S5106, when the first time interval is running, the first time interval is stopped as a response to selecting the target cell on the first frequency.

[0329] for Second node N02 , in step S5201, at least the first signal is sent at the first frequency.

[0330] In Embodiment 5, the behavior of the first node U01 is to select the target cell on the first frequency depending on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0331] As an embodiment, the first node U01 and the second node N02 are connected wirelessly.

[0332] As an embodiment, the first node U01 and the second node N02 are connected via a wire.

[0333] As an embodiment, the first node U01 and the second node N02 are connected via a Uu port.

[0334] As an embodiment, the first node U01 and the second node N02 are connected via an IAB port.

[0335] As an embodiment, the first node U01 and the second node N02 are connected via a PC5 interface.

[0336] As an embodiment, step S5102 is optional.

[0337] As an embodiment, step S5102 exists.

[0338] As a sub-embodiment of the above embodiment, step S5101 is before step S5102.

[0339] As a sub-embodiment of the above embodiment, step S5101 is after step S5102.

[0340] As a sub-embodiment of the above embodiment, step S5101 and step S5102 are executed simultaneously.

[0341] As an embodiment, step S5102 does not exist.

[0342] As an embodiment, step S5103 is optional.

[0343] As an embodiment, step S5103 exists.

[0344] As a sub-embodiment of the above embodiment, if the step S5106 exists, the step S5103 exists.

[0345] As a sub-embodiment of the above embodiment, step S5106 exists.

[0346] As a sub-embodiment of the above embodiment, the absence of step S5106 means that the target cell is not selected on the first frequency.

[0347] As a sub-embodiment of the above embodiment, the meaning that the step S5106 does not exist includes: the target cell is not selected on any frequency in the first frequency set.

[0348] As a sub-embodiment of the above embodiment, the meaning that the step S5106 does not exist includes: the first time interval expires.

[0349] As an embodiment, step S5103 does not exist.

[0350] As an embodiment, the phrase determining a first frequency set means: the first node U01 determines a first frequency set.

[0351] As an embodiment, the phrase determining the first frequency set refers to: configuring the first frequency set to the first node U01.

[0352] As an embodiment, the phrase determining the first frequency set means: the first node U01 obtains the first frequency set from reading stored information.

[0353] As an embodiment, the phrase determining the first frequency set means: the first node U01 determines the first frequency set through the output of the artificial intelligence processing system.

[0354] As an embodiment, the phrase initiating a first cell selection process refers to: initiating cell selection.

[0355] As an embodiment, the phrase initiating a first cell selection process refers to: initiating cell selection using existing stored information.

[0356] As an embodiment, the phrase initiating the first cell selection process refers to: performing the first RF channels scanning for cell selection.

[0357] As an embodiment, the sentence "with the start of the first time interval, the first cell selection process is initiated" means: the start time of the first time interval is related to the initiation of the first cell selection process.

[0358] As an embodiment, the sentence "with the start of a first time interval, a first cell selection process is initiated" means: the start time of the first time interval is before the initiation of the first cell selection process.

[0359] As an embodiment, the sentence "with the start of a first time interval, a first cell selection process is initiated" means: the start time of the first time interval is after the initiation of the first cell selection process.

[0360] As an embodiment, the sentence "with the start of the first time interval, the first cell selection process is initiated" means: the start time of the first time interval and the initiation of the first cell selection process occur simultaneously.

[0361] As an embodiment, the at least first signal is the first signal.

[0362] As an embodiment, the at least first signal is a plurality of signals, and the first signal is one of the plurality of signals.

[0363] As an embodiment, the first frequency is the frequency of the downlink RS resources occupied by the at least first signal.

[0364] As an embodiment, the first frequency is the center frequency of the downlink RS resources occupied by the at least first signal.

[0365] As an embodiment, the downlink RS resource is a CSI-RS resource.

[0366] As an embodiment, the downlink RS resource is an SSB resource.

[0367] As an embodiment, the first signal at the first frequency is periodic.

[0368] As an embodiment, the first signal at the first frequency is semi-continuous.

[0369] As an embodiment, the first signal at the first frequency is one-time.

[0370] As an embodiment, the first signal at the first frequency is sent in a beam scanning manner.

[0371] As an embodiment, the first signal at the first frequency is sent in a digital beamforming manner.

[0372] As an embodiment, the first signal at the first frequency is sent in an omnidirectional transmission manner.

[0373] As an embodiment, the behavior of detecting at least a first signal at the first frequency refers to detecting the at least a first signal at the first frequency according to a default configuration.

[0374] As an embodiment, the behavior of detecting at least a first signal at the first frequency refers to detecting the at least a first signal at the first frequency according to a stored configuration.

[0375] As an embodiment, the behavior of detecting at least the first signal at the first frequency refers to detecting the at least the first signal at the first frequency by the received power of the at least the first signal.

[0376] As an embodiment, the act of detecting at least the first signal at the first frequency refers to detecting the at least the first signal at the first frequency by blind detection.

[0377] As an embodiment, the detecting means including receiving.

[0378] As an embodiment, the detection includes monitoring.

[0379] As an embodiment, the at least first signal is detected at the first frequency according to a default configuration.

[0380] As an embodiment, the at least first signal is detected at the first frequency according to a stored configuration.

[0381] As an embodiment, the first signal is detected by the received power of the at least first signal at the first frequency.

[0382] As an embodiment, the first signal is detected by the reception quality of the at least first signal at the first frequency.

[0383] As an embodiment, the first signal is detected by blind detection at the first frequency.

[0384] As an embodiment, the first node U01 selects a target cell on the first frequency before measuring the first signal.

[0385] As an embodiment, the first node U01 selects a target cell on the first frequency after measuring the first signal.

[0386] As an embodiment, the first node U01 measures the first signal at the first frequency.

[0387] As an embodiment, the first node U01 measures the first signal at the first frequency within a first time interval.

[0388] As an embodiment, the first node U01 starts measuring the first signal at the first frequency within a first time interval.

[0389] As an embodiment, the first node U01 completes the measurement of the first signal at the first frequency within a first time interval.

[0390] As an embodiment, the first node U01 can only measure the first signal at the first frequency within a first time interval.

[0391] As an embodiment, the phrase measuring the first signal includes decoding the information content carried by the first signal.

[0392] As an embodiment, the sentence “the first node U01 selects a target cell at the first frequency depending on at least the measurement of the first signal” means that the selection of the target cell at the first frequency by the first node U01 is related to the measurement result of the first signal.

[0393] As an embodiment, the sentence "the first node U01 selects a target cell at a first frequency depending on at least the measurement of a first signal" means that the selection of a target cell by the first node U01 at the first frequency is related to the measurement results of the first signal and a neighboring cell reference signal.

[0394] As an embodiment, the phrase as a response to selecting a target cell on a first frequency means: as long as at least one suitable cell is searched on the first frequency.

[0395] As an embodiment, the phrase as a response to selecting a target cell on a first frequency means: as long as at least one acceptable cell is searched on the first frequency.

[0396] As an embodiment, the phrase as a response to selecting a target cell on a first frequency means: as long as at least one cell satisfying at least a cell selection criterion is searched on the first frequency.

[0397] As an embodiment, the phrase as a response to selecting the target cell on the first frequency means: as long as camping on the target cell is successful.

[0398] As an embodiment, the phrase as a response to selecting a target cell on the first frequency means: as long as an RRC connection is successfully established on the target cell.

[0399] As an embodiment, the sentence "as a response to selecting a target cell on a first frequency, stopping the first time interval" means that the end of the first time interval is related to the behavior of selecting a target cell.

[0400] As an embodiment, the sentence "as a response to selecting a target cell on a first frequency, stopping the first time interval" means that the end of the first time interval and the behavior of selecting a target cell occur simultaneously.

[0401] As an embodiment, the sentence "as a response to selecting a target cell on a first frequency, stopping the first time interval" means that the end of the first time interval occurs before the behavior of selecting a target cell.

[0402] As an embodiment, the sentence "in response to selecting a target cell on a first frequency, stopping the first time interval" means that the end of the first time interval occurs later than the behavior of selecting a target cell.

[0403] As an embodiment, the sentence "in response to selecting a target cell on a first frequency, stopping the first time interval" means: the behavior of selecting the target cell triggers stopping the first time interval.

[0404] As an embodiment, the sentence "in response to selecting a target cell on a first frequency, stopping the first time interval" means: when the target cell is selected on the first frequency, stopping the first time interval.

[0405] Example 6

[0406] Embodiment 6 illustrates a schematic diagram of a first node selecting a target cell on a first frequency depending on a first time interval according to an embodiment of the present application, as shown in the attached figure. Figure 6 shown.

[0407] In Embodiment 6, the behavior of selecting a target cell on a first frequency depends on the first time interval, including: within the first time interval, the target cell needs to be the strongest cell on the first frequency; outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

[0408] As an embodiment, the strongest cell on the first frequency is the cell with the strongest signal strength on the first frequency.

[0409] As an embodiment, the strongest cell on the first frequency is a cell with the best signal quality on the first frequency.

[0410] As an embodiment, the signal strength is the received power of the signal.

[0411] As an embodiment, the signal strength is RSRP.

[0412] As an embodiment, the signal strength is a cell selection reception level.

[0413] As an embodiment, the signal quality is the reception quality of the signal.

[0414] As an embodiment, the signal quality is RSRQ.

[0415] As an embodiment, the signal quality is cell selection reception quality.

[0416] As an embodiment, the phrase that the target cell needs to be the strongest cell on the first frequency means that the first node only needs to search for the strongest cell on the first frequency.

[0417] As an embodiment, the phrase that the target cell does not need to be the strongest cell on the first frequency means that the first node may search for the second strongest cell on the first frequency.

[0418] As an embodiment, the phrase that the target cell does not need to be the strongest cell on the first frequency means that the first node may search for the strongest or second strongest cell on the first frequency.

[0419] As an embodiment, the phrase that the target cell does not need to be the strongest cell on the first frequency means that the first node can search for the first N1 cells on the first frequency sorted in descending order of strength; and N1 is a positive integer greater than 1.

[0420] As an embodiment, the N1 is configurable.

[0421] As an embodiment, the N1 is predefined.

[0422] As an embodiment, the N1 is related to the first time interval.

[0423] As a sub-embodiment of this embodiment, the longer the first time interval is, the larger the N1 is.

[0424] As a sub-embodiment of this embodiment, the longer the first time interval is, the smaller N1 is.

[0425] As an embodiment, the phrase that the target cell does not need to be the strongest cell on the first frequency means that: the first node can search for the first N2 cells on the first frequency sorted in descending order of signal quality; and N2 is a positive integer greater than 1.

[0426] As an embodiment, N2 is configurable.

[0427] As an embodiment, the N2 is predefined.

[0428] As an embodiment, the N2 is related to the first time interval.

[0429] As a sub-embodiment of this embodiment, the longer the first time interval is, the larger N2 is.

[0430] As a sub-embodiment of this embodiment, the longer the first time interval is, the smaller N2 is.

[0431] Example 7

[0432] Embodiment 7 illustrates an example diagram of a first time interval being associated with a first frequency set and a first node selecting a target cell on a first frequency depending on the first frequency set according to an embodiment of the present application, as shown in the attached figure. Figure 7 shown.

[0433] In Embodiment 7, the first time interval is associated with a first frequency set; and the selection of the target cell by the first node on the first frequency depends on the first frequency set.

[0434] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that a corresponding relationship between the first frequency set and the first time interval is predefined.

[0435] As an embodiment, the phrase "the first time interval is associated with the first frequency set" means: the first time interval is configured in the first frequency set.

[0436] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that the configuration of the correspondence between the first frequency set and the first time interval is one-time.

[0437] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that the configuration of the correspondence between the first frequency set and the first time interval is periodic.

[0438] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that the first frequency in the first frequency set is configured to the first time interval.

[0439] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that: the correspondence between the first frequency set and the first time interval is determined by the first node.

[0440] As an embodiment, the phrase “the first time interval is associated with the first frequency set” means that the correspondence between the first frequency set and the first time interval is determined by an output of an artificial intelligence system.

[0441] As an embodiment, when performing cell selection in the first time interval, the first frequency set is considered.

[0442] As an embodiment, when performing cell selection within the first time interval, the first frequency set is searched.

[0443] As an embodiment, when performing cell selection within the first time interval, the first node decides whether to search the first frequency set.

[0444] As an embodiment, when performing cell selection within the first time interval, the artificial intelligence system decides whether to search the first frequency set.

[0445] As an embodiment, when performing cell selection within the first time interval, the first node searches according to a predetermined order of one or more frequencies in the first frequency set.

[0446] As an embodiment, when performing cell selection within the first time interval, the first node searches in a random order of one or more frequencies in the first frequency set.

[0447] As an embodiment, when performing cell selection within the first time interval, the first node searches in descending order of priority of one or more frequencies in the first frequency set.

[0448] Example 8

[0449] Embodiment 8 illustrates an example diagram in which the first frequency set is one of multiple frequency sets and any frequency set in the multiple frequency sets includes at least one frequency according to an embodiment of the present application, as shown in the attached figure. Figure 8 shown.

[0450] In Embodiment 8, the first frequency set is a frequency set among multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

[0451] As an embodiment, the multiple frequency sets are preconfigured.

[0452] As an embodiment, the multiple frequency sets are predefined.

[0453] As an embodiment, the multiple frequency sets are determined by the first node.

[0454] As an embodiment, the multiple frequency sets are determined by the second node.

[0455] As an embodiment, the plurality of frequencies are determined by an output of an artificial intelligence processing system.

[0456] As an embodiment, the first frequency set is preconfigured.

[0457] As an embodiment, the first frequency set is determined by the first node.

[0458] As an embodiment, the first frequency set is determined by the second node.

[0459] As an embodiment, the first frequency set is determined by the output of an artificial intelligence processing system.

[0460] As an embodiment, the sentence “any frequency set among the multiple frequency sets includes at least one frequency” means: the number of frequencies in any frequency set among the multiple frequency sets is not less than one.

[0461] As an embodiment, the sentence “any frequency set in the multiple frequency sets includes at least one frequency” means that a minimum value of the number of frequencies in the multiple frequency sets is 1.

[0462] As an embodiment, the number of frequencies in a single frequency set has an upper limit of N3, where N3 is a positive integer.

[0463] As an embodiment, the N3 is preconfigured.

[0464] As an embodiment, the N3 is predefined.

[0465] As an embodiment, N3 is determined by the first node.

[0466] As an embodiment, N3 is determined by the second node.

[0467] As an embodiment, N3 is determined according to the capability of the first node.

[0468] As an embodiment, all frequencies in a single frequency set have a bandwidth and an upper limit of B1 kHz, where B1 is a positive integer.

[0469] As an embodiment, the B1 is pre-configured.

[0470] As an embodiment, the B1 is predefined.

[0471] As an embodiment, the B1 is determined by the first node.

[0472] As an embodiment, the B1 is determined by the second node.

[0473] As an embodiment, the B1 is determined according to the capability of the first node.

[0474] As an embodiment, one or more frequencies in a single frequency set are randomly arranged.

[0475] As an embodiment, a single frequency set includes an arrangement order of one or more frequencies.

[0476] As an embodiment, one or more frequencies in a single frequency set are arranged according to a predicted success rate of cell selection.

[0477] As an embodiment, one or more frequencies in a single frequency set are arranged according to predicted reference signal received power.

[0478] As an embodiment, one or more frequencies in a single frequency set are arranged according to predicted reference signal reception quality.

[0479] Example 9

[0480] Embodiment 9 illustrates an example diagram in which the first time interval is one of multiple time intervals and any time interval in the multiple time intervals is associated with one of the multiple frequency sets according to an embodiment of the present application, as shown in the attached figure. Fig. 9 shown.

[0481] In Embodiment 9, the first time interval is one of multiple time intervals; any time interval in the multiple time intervals is associated with one of the multiple frequency sets.

[0482] As an embodiment, the multiple time intervals are preconfigured.

[0483] As an embodiment, the multiple time intervals are predefined.

[0484] As an embodiment, the multiple time intervals are determined by the first node.

[0485] As an embodiment, the multiple time intervals are determined by the second node.

[0486] As an embodiment, any time interval among the multiple time intervals is associated with a frequency set among the multiple frequency sets.

[0487] As an embodiment, the association relationship is determined by the first node.

[0488] As an embodiment, the association relationship is determined by the second node.

[0489] As an embodiment, the association relationship is preconfigured.

[0490] As an embodiment, the association relationship is configured by an RRC message.

[0491] As an embodiment, the association relationship is determined by an artificial intelligence processing system.

[0492] As an embodiment, the first information is the input of an artificial intelligence processing system, and the association relationship is the output of the artificial intelligence processing system.

[0493] Example 10

[0494] Embodiment 10 illustrates a schematic diagram of an artificial intelligence processing system according to another embodiment of the present application, as shown in the attached Fig.10 Attached Fig.10 It includes a first module, a second module, a third module, a fourth module and a fifth module.

[0495] In Example 10, the first module sends a first data set to the second module, the first module sends a second data set to the third module, the first module sends a third data set to the fifth module, the fifth module sends a first type of parameter group to the second module, the fifth module sends a second type of parameter group to the third module, the fifth module sends a third type of parameter group to the fourth module, the second module sends a fourth type of parameter group to the fourth module, and the fourth module sends a fifth type of parameter group to the third module.

[0496] As an embodiment, the first module, the second module, the third module, the fourth module and the fifth module all belong to the first node.

[0497] The above method avoids air interface signaling interaction and shortens transmission delay.

[0498] As an embodiment, any one of the first module, the second module, the third module, the fourth module and the fifth module does not belong to the first node.

[0499] The above method reduces the hardware complexity of the first node.

[0500] As an embodiment, at least the first module among the first module, the second module, the third module, the fourth module and the fifth module belongs to the first node; and at least one module among the first module, the second module, the third module, the fourth module and the fifth module does not belong to the first node.

[0501] The above method balances the hardware complexity and transmission delay of the first node.

[0502] As an embodiment, the first module is used for data collection (Data Collection).

[0503] As an embodiment, the first module is responsible for data collection.

[0504] As an embodiment, the first module has a data collection function.

[0505] As an embodiment, the second module is used for model training (Model Training).

[0506] As an embodiment, the second module is responsible for model training.

[0507] As an embodiment, the second module has a model training function.

[0508] As an embodiment, the second module performs AI / ML model training.

[0509] As an embodiment, the second module performs validation.

[0510] As an embodiment, the second module performs testing.

[0511] As an embodiment, the second module generates model performance metrics.

[0512] As an embodiment, the second module is responsible for data preparation.

[0513] As an embodiment, the data preparation includes at least one of data pre-processing, cleaning, formatting, or transformation.

[0514] As an embodiment, the third module is used for inference.

[0515] As an embodiment, the third module has a reasoning function.

[0516] As an embodiment, the third module is responsible for reasoning.

[0517] As an embodiment, the fourth module is used for model storage (Model Storage).

[0518] As an embodiment, the fourth module has a model storage (Model Storage) function.

[0519] As an embodiment, the fourth module is responsible for storing the trained model.

[0520] As an embodiment, the fourth module is responsible for storing the trained model that can be used to perform reasoning processing.

[0521] As an embodiment, the fifth module is used for management.

[0522] As an embodiment, the fifth module is responsible for management.

[0523] As an embodiment, the fifth module has a management function.

[0524] As an embodiment, the first data set is training data (Training Data).

[0525] As an embodiment, the second data set is inference data.

[0526] As an embodiment, the third data set is monitoring data.

[0527] As an embodiment, the first parameter group includes monitoring output.

[0528] As an embodiment, the second type of parameter group includes management instructions.

[0529] As an embodiment, the second type of parameter group is used for fine-tuning operation of the inference function.

[0530] As an embodiment, the second parameter group includes an identifier of the model.

[0531] As an embodiment, the second type of parameter group is used to select a model.

[0532] As an embodiment, the second type of parameter group is used for switching models.

[0533] As an embodiment, the second type of parameter group is used to activate / deactivate the model.

[0534] As an embodiment, the second type of parameter group is used to fall back from AI-ML operation to non-AI-ML operation.

[0535] As an embodiment, the third type of parameter group includes a model transfer request (Model Transfer Request).

[0536] As an embodiment, the third parameter group includes a model delivery request (Model DeliveryRequest).

[0537] As an embodiment, the fourth parameter group includes a trained model (Trained Model).

[0538] As an embodiment, the fourth parameter group includes an updated model (Updated Model).

[0539] As an embodiment, the fourth type of parameter group indicates the identification of the model.

[0540] As an embodiment, the fifth parameter group includes model transfer.

[0541] As an embodiment, the fifth parameter group includes model delivery.

[0542] As an embodiment, the fifth type of parameter group indicates the identification of the model.

[0543] As an embodiment, the first type of output includes a monitoring output.

[0544] As an embodiment, the first type of output exists.

[0545] As an embodiment, the first type of output does not exist.

[0546] As an embodiment, the second type of output includes inference output.

[0547] As an embodiment, the second type of output is used by the fifth module to monitor the performance of the AI / ML model.

[0548] As an embodiment, the second type of output is used by the fifth module to monitor the performance of the AI / ML function.

[0549] As an embodiment, the second type of output exists.

[0550] As an embodiment, the second type of output does not exist.

[0551] As an embodiment, the artificial intelligence processing system generates or assists in generating at least one of the first time interval or the first frequency set.

[0552] As an embodiment, the fifth module generates or assists in generating at least one of the first time interval or the first frequency set.

[0553] As an embodiment, the third module generates or assists in generating at least one of the first time interval or the first frequency set.

[0554] As an embodiment, the second type of output includes at least one of the first time interval or the first frequency set.

[0555] As an embodiment, the artificial intelligence processing system generates or assists in generating at least one of the multiple time intervals or the multiple frequency sets.

[0556] As an embodiment, the fifth module generates or assists in generating at least one of the multiple time intervals or the multiple frequency sets.

[0557] As an embodiment, the third module generates or assists in generating at least one of the multiple time intervals or the multiple frequency sets.

[0558] As an embodiment, the second type of output includes at least one of the multiple time intervals or the multiple frequency sets.

[0559] As an embodiment, at least one of the first data set, the second data set, or the third data set includes a moving direction of the first node.

[0560] As an embodiment, at least one of the first data set, the second data set, or the third data set includes a moving speed of the first node.

[0561] As an embodiment, at least one of the first data set, the second data set, or the third data set includes the geographic location of the first node.

[0562] As an embodiment, at least one of the first data set, the second data set, or the third data set includes the first information.

[0563] As an embodiment, the phrase “the first time interval depends on the first information” means that the input of the artificial intelligence processing system depends on the first information, and the first time interval is the output of the artificial intelligence processing system.

[0564] As an embodiment, the embodiment 13 is only used to illustrate that the present application can be used in an artificial intelligence processing system. The embodiment does not limit the application of the present application to a non-artificial intelligence processing system, and the embodiment does not limit the application of the present application to other types of artificial intelligence processing systems to obtain and attach Fig.13 The artificial intelligence processing system shown has comparable effects.

[0565] Embodiment 11

[0566] Embodiment 11 illustrates an example diagram of a first time interval depending on first information according to an embodiment of the present application, as shown in the attached figure. Fig.11 shown.

[0567] In embodiment 11, the first time interval depends on the first information.

[0568] As an embodiment, the first time interval and the first frequency set depend on the first information.

[0569] As an embodiment, the multiple time intervals and the multiple frequency sets depend on the first information.

[0570] As an embodiment, the first information is an input of an artificial intelligence processing system, and the first time interval and the first frequency are outputs of the artificial intelligence processing system.

[0571] As a sub-embodiment of this embodiment, the first information is an input of the first module.

[0572] As a sub-embodiment of this embodiment, the first time interval is the output of the third module.

[0573] As a sub-embodiment of this embodiment, the first time interval and the first frequency set are outputs of the third module.

[0574] As a sub-embodiment of this embodiment, the multiple time intervals and the multiple frequency sets are outputs of the third module.

[0575] As an embodiment, the first information includes the first position.

[0576] As an embodiment, the first information includes historical measurement results of the first node based on a reference signal.

[0577] As an embodiment, the first information includes the measurement result of the first node based on SSB.

[0578] As an embodiment, the first information includes a measurement result of the first node based on CSI-RS.

[0579] As an embodiment, the first information includes a measurement result of the first node based on SRS.

[0580] As an embodiment, the first information includes a L1 reference signal received power (RSRP) measurement result of the first node.

[0581] As an embodiment, the first information includes a L1 reference signal received quality (RSRQ) measurement result of the first node.

[0582] As an embodiment, the first information includes a L3 reference signal received power (RSRP) measurement result of the first node.

[0583] As an embodiment, the first information includes a L3 reference signal received quality (RSRQ) measurement result of the first node.

[0584] As an embodiment, the first information includes a CQI measurement result of the first node.

[0585] As an embodiment, the first information includes the speed of the first node.

[0586] As an embodiment, the first information includes the location of the first node.

[0587] As an embodiment, the first information includes prior information of the first node.

[0588] As an embodiment, the prior information includes a historical movement trajectory stored by the first node.

[0589] As an embodiment, the historical movement trajectory is composed of multiple sets of data consisting of positioning information and time information.

[0590] As an embodiment, the historical movement trajectory is composed of multiple groups of data consisting of perception information and time information.

[0591] As an embodiment, the historical movement trajectory is generated by the first node.

[0592] As an embodiment, the historical mobile trajectory is generated by one or more gNBs.

[0593] As an embodiment, the historical mobile trajectory is generated by the first node and one or more of the gNBs.

[0594] As an embodiment, the historical movement trajectory is generated by one or more roadside units (RSUs).

[0595] As an embodiment, the historical movement trajectory is generated by the first node and one or more of the roadside units.

[0596] As an embodiment, the priori information of the first node includes historical access information of the cell stored by the first node.

[0597] As an embodiment, the cell historical access information includes frequency information.

[0598] As an embodiment, the cell historical access information includes time information.

[0599] As an embodiment, the cell historical access information includes measurement control information.

[0600] As an embodiment, the cell historical access information includes a first node registration area (registration area) update record.

[0601] As an embodiment, the cell historical access information includes a first node NAS registration update (NASregistrationupdate) record.

[0602] As an embodiment, the cell historical access information includes a first node RRC notification area update record.

[0603] Example 12

[0604] Embodiment 12 illustrates a schematic diagram of an artificial intelligence processing system according to an embodiment of the present application, as shown in the attached Fig.12 Attached Fig.12 It includes a first module, a second module, a third module and a fourth module.

[0605] In Example 12, the first module sends a first data set to the second module, the second module generates a target first-category parameter group based on the first data set, the second module sends the generated target first-category parameter group to the third module, the third module processes the second data set using the target first-category parameter group to obtain a first-category output, and then sends the first-category output to the fourth module.

[0606] As an embodiment, the first module, the second module, the third module and the fourth module all belong to the first node.

[0607] The above method avoids air interface signaling interaction and shortens transmission delay.

[0608] As an embodiment, any one of the first module, the second module, the third module and the fourth module does not belong to the first node.

[0609] The above method reduces the hardware complexity of the first node.

[0610] As an embodiment, at least the first module among the first module, the second module, the third module and the fourth module belongs to the first node; and at least one module among the first module, the second module, the third module and the fourth module does not belong to the first node.

[0611] The above method balances the hardware complexity and transmission delay of the first node.

[0612] As an embodiment, the first module is used for data collection (DataCollection).

[0613] As an embodiment, the first module generates at least one of the first data set or the second data set based on at least the first information.

[0614] As an embodiment, the first module sends the first information; the first module belongs to the first node.

[0615] As an embodiment, at least one of the first data set or the second data set is transmitted through the Uu port.

[0616] As an embodiment, at least one of the first data set or the second data set is transmitted through an interface between modules.

[0617] As an embodiment, at least one of the first data set or the second data set includes a moving direction of the first node.

[0618] As an embodiment, at least one of the first data set or the second data set includes a moving speed of the first node.

[0619] As an embodiment, at least one of the first data set or the second data set includes the geographic location of the first node.

[0620] As an embodiment, at least one of the first data set or the second data set includes the first information.

[0621] As an embodiment, the second module is used for model training (Model Training).

[0622] As an embodiment, the first data set is training data (Training Data), the second data set is inference data (Inference Data), the second module is used to train the model, and the trained model is described by the target first type parameter group.

[0623] As an embodiment, the third module is used for model inference.

[0624] As an embodiment, the third module constructs a model according to the target first-category parameter group, then inputs the second data set into the constructed model to obtain the first-category output, and then sends the first-category output to the fourth module.

[0625] As an embodiment, the third module calculates the error between the first type of output and actual data to determine the performance of the trained model; the actual data is the data received after the second data set and transmitted by the first module.

[0626] The above-mentioned embodiments are particularly suitable for prediction-related cell selection.

[0627] As an embodiment, the third module sends the first type of feedback to the second module, and the first type of feedback is used to trigger recalculation or updating of the target first type parameter group.

[0628] As an embodiment, the third module restores a reference data set based on the first type of output, and an error between the reference data set and the second data set is used to generate the first type of feedback.

[0629] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the second module will recalculate the target first type parameter group.

[0630] Typically, when the error is too large or has not been updated for too long, the performance of the trained model is considered unsatisfactory.

[0631] As an embodiment, the fourth module is an Actor.

[0632] As an embodiment, the fourth module receives the first type of output from the third module.

[0633] As an embodiment, the fourth module performs corresponding actions according to the first type of output.

[0634] As an embodiment, the fourth module sends a second type of feedback to the first module, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the second data set.

[0635] As an embodiment, the fourth module sends a second type of feedback to the first module, and the second type of feedback is used to trigger the execution of the first type of output.

[0636] As an embodiment, the first type of output includes the first time interval.

[0637] As an embodiment, the first type of output includes the multiple time intervals.

[0638] As an embodiment, the first type of output includes the first frequency set.

[0639] As an embodiment, the first type of output includes the multiple frequency sets.

[0640] As an embodiment, the first type of output includes the first time interval and the first frequency set.

[0641] As an embodiment, the first type of output includes the multiple time intervals and multiple first frequency sets.

[0642] As an embodiment, the phrase “the first time interval depends on the first information” means that the input of the artificial intelligence processing system depends on the first information, and the first time interval is the output of the artificial intelligence processing system.

[0643] As an embodiment, the embodiment 12 is only used to illustrate that the present application can be used in an artificial intelligence processing system. The embodiment does not limit the application of the present application to a non-artificial intelligence processing system, and the embodiment does not limit the application of the present application to other types of artificial intelligence processing systems to obtain and attach Fig.12 The artificial intelligence processing system shown has comparable effects.

[0644] Example 13

[0645] Embodiment 13 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig.13 As shown in the attached Fig.13 In the embodiment, the processing device 1300 in the first node includes a first receiver 1301 and a first processor 1302.

[0646] The first processor 1302 determines a first time interval; in a first cell selection process, selects a target cell on a first frequency;

[0647] In Embodiment 13, the behavior selects a target cell on a first frequency depending on the first time interval; and the target cell satisfies at least a cell selection criterion.

[0648] As an embodiment, the behavior of selecting a target cell on a first frequency depending on the first time interval includes: within the first time interval, the target cell needs to be the strongest cell on the first frequency; outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

[0649] As an embodiment, the first processor 1302 determines a first frequency set, which includes at least the first frequency; wherein the behavior of selecting a target cell on the first frequency depends on the first frequency set, and the first time interval is associated with the first frequency set.

[0650] As an embodiment, the first frequency set is a frequency set among the multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

[0651] As an embodiment, the first time interval is a time interval among multiple time intervals; any time interval among the multiple time intervals is associated with a frequency set among the multiple frequency sets.

[0652] As an embodiment, the first processor 1302 starts the first time interval along with initiating the first cell selection process; when the first time interval is running, the first time interval is stopped in response to the behavior selecting the target cell on the first frequency.

[0653] As an embodiment, the first processor 1302 receives first information, and the first time interval depends on the first information; wherein the sender of the first information is the first node.

[0654] As an embodiment, the first processor 1302 detects at least a first signal on the first frequency; wherein the behavior of selecting a target cell on the first frequency depends on the measurement of the at least first signal.

[0655] As an embodiment, the first processor 1302 includes a first transmitter.

[0656] As an embodiment, the first processor 1302 includes a receiver and a first transmitter.

[0657] As an embodiment, the receiver in the first processor 1302 is the first receiver 1301.

[0658] As an embodiment, the receiver in the first processor 1302 is not the first receiver 1301.

[0659] As an embodiment, the first receiver 1301 includes the attached Figure 4 At least one of the antenna 452 or the receiver 454 or the multi-antenna receive processor 458 or the receive processor 456 or the controller / processor 459 or the memory 460 or the data source 467.

[0660] As an embodiment, the first receiver 1301 includes the attached Figure 4 At least an antenna 452 and a receiver 454.

[0661] As an embodiment, the first transmitter includes the attached Figure 4 At least one of the antenna 452 or the transmitter 454 or the multi-antenna transmit processor 457 or the transmit processor 468 or the controller / processor 459 or the memory 460 or the data source 467.

[0662] As an embodiment, the first transmitter includes the attached Figure 4 At least antenna 452 and transmitter 454.

[0663] Embodiment 14

[0664] Embodiment 14 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.14 As shown in the attached Fig.14 In the embodiment, the processing device 1400 in the second node includes a second transmitter 1401.

[0665] The second transmitter 1401 sends at least a first signal on a first frequency.

[0666] In Example 14, during the first cell selection process, a receiver of the at least first signal selects a target cell at the first frequency; the behavior of selecting the target cell at the first frequency depends on the first time interval; the behavior of selecting the target cell at the first frequency depends on the measurement of the at least first signal; and the target cell satisfies at least the cell selection criteria.

[0667] As an embodiment, the behavior of selecting a target cell on a first frequency depends on the first time interval, including: if the target cell is selected within the first time interval, the target cell needs to be the strongest cell on the first frequency; if the target cell is selected outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

[0668] As an embodiment, the one receiver of the at least first signal determines a first frequency set, the first frequency set includes at least the first frequency; the behavior of selecting a target cell on the first frequency depends on the first frequency set, and the first time interval is associated with the first frequency set.

[0669] As an embodiment, the first frequency set is a frequency set among the multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

[0670] As an embodiment, the first time interval is a time interval among multiple time intervals; any time interval among the multiple time intervals is associated with a frequency set among the multiple frequency sets.

[0671] As an embodiment, accompanying the initiation of the first cell selection process, the one receiver of the at least first signal starts the first time interval; when the first time interval is running, as a response to the behavior selecting the target cell on the first frequency, the one receiver of the at least first signal stops the first time interval.

[0672] As an embodiment, the one receiver of the at least first signal receives first information, the first time interval depends on the first information; and the sender of the first information is the one receiver of the at least first signal.

[0673] As an embodiment, the second transmitter 1401 includes the attached Figure 4 At least one of the antenna 420 or the transmitter 418 or the multi-antenna transmit processor 471 or the transmit processor 416 or the controller / processor 475 or the memory 476.

[0674] As an embodiment, the second transmitter 1401 includes the attached Figure 4 At least antenna 420 and transmitter 418.

[0675] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment, wireless sensors, Internet cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication, Machine Type Communication) terminals, eMTC (enhanced MTC, enhanced MTC) terminals, data cards, Internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system devices in this application include but are not limited to macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B) NR Node B, TRP (Transmitter Receiver Point) and other wireless communication devices.

[0676] The above is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A first node used for wireless communication, characterized in that: include: A first processor determines a first time interval; In the first cell selection process, selecting a target cell on a first frequency; The behavior of selecting a target cell on a first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

2. The first node according to claim 1, characterized in that: The behavior of selecting a target cell on the first frequency depending on the first time interval includes: within the first time interval, the target cell needs to be the strongest cell on the first frequency; outside the first time interval, the target cell does not need to be the strongest cell on the first frequency.

3. The first node according to claim 1 or 2, characterized in that: include: The first processor determines a first frequency set, the first frequency set including at least the first frequency; The behavior of selecting a target cell on a first frequency depends on the first frequency set, and the first time interval is associated with the first frequency set.

4. The first node according to claim 3, characterized in that: The first frequency set is one frequency set among the multiple frequency sets; any frequency set among the multiple frequency sets includes at least one frequency.

5. The first node according to claim 4, characterized in that: The first time interval is one of a plurality of time intervals; any time interval of the plurality of time intervals is associated with one of the plurality of frequency sets.

6. The first node according to any one of claims 1 to 5, characterized in that: include: The first processor, along with initiating the first cell selection process, starts the first time interval; When the first time interval is running, the first time interval is stopped in response to the behavior selecting a target cell on a first frequency.

7. The first node according to any one of claims 1 to 6, characterized in that: include: The first processor receives first information, the first time interval being dependent on the first information; The sender of the first information is the first node.

8. The first node according to any one of claims 1 to 7, characterized in that: include: the first processor detecting at least a first signal at the first frequency; The behavior of selecting a target cell on a first frequency is dependent on measurements of the at least first signal.

9. A method in a first node for wireless communication, characterized in that: include: determining a first time interval; In the first cell selection process, selecting a target cell on a first frequency; The behavior of selecting a target cell on a first frequency depends on the first time interval; and the target cell satisfies at least a cell selection criterion.

10. A second node used for wireless communication, characterized in that: include: a second transmitter that transmits at least a first signal on a first frequency; In which, during the first cell selection process, a receiver of the at least first signal selects a target cell on the first frequency; the behavior of selecting the target cell on the first frequency depends on the first time interval; the behavior of selecting the target cell on the first frequency depends on the measurement of the at least first signal; and the target cell satisfies at least the cell selection criteria.

11. A method in a second node for wireless communication, characterized in that: include: transmitting at least a first signal on a first frequency; In which, during the first cell selection process, a receiver of the at least first signal selects a target cell on the first frequency; the behavior of selecting the target cell on the first frequency depends on the first time interval; the behavior of selecting the target cell on the first frequency depends on the measurement of the at least first signal; and the target cell satisfies at least the cell selection criteria.

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