Method and apparatus in node used for wireless communication
By mapping the quasi-co-address information indicated by MAC CE in DCI, the problem of determining the quasi-co-address information in the AI/ML beam management solution is solved, and efficient channel information reporting and system performance improvement is achieved.
Patent Information
- Application Number
- CN202410711295.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-01
- Publication Date
- 2025-04-15
AI Technical Summary
In an AI/ML-based beam management solution, how to determine the quasi-co-address information of the signal indicated by the MAC CE through DCI, and solve the redundant overhead problems caused by traditional measurement and reporting methods.
The determination of the quasi-co-address information for signal transmission is achieved by mapping the quasi-co-address information indicated by the MAC CE to different code points in the DCI.
It improves the accuracy and real-timeness of channel information reporting, reduces reporting overhead, saves signaling overhead, improves transmission flexibility and reliability, and improves the overall performance of the system.
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Figure CN119835780A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to a transmission method and device in a wireless communication system, and more particularly to a TCI (Transmission Configuration Indicator) scheme and device in a wireless communication system. Background Art
[0002] Multi-antenna technology is a key technology in 3GPP (3rd Generation Partner Project) LTE (Long-Term Evolution) system and NR (New Radio) system; multiple antennas are configured at communication nodes, such as base stations or UE (User Equipment) to obtain additional spatial freedom. Multiple antennas use beamforming to form beams pointing in a specific direction to improve communication quality. When multiple antennas belong to different TRPs (Transmitter Receiver Points) / panels, additional diversity gain can be obtained by using the spatial differences between different TRPs / panels. Since the beams formed by multiple antennas are relatively narrow, the communicating parties need to align the beams to provide communication quality. Starting from NRR (Release) 15, 3GPP introduced the concept of TCI (Transmission Configuration Indication) to assist in beam alignment between transmission nodes. In R17, the unified TCI architecture was introduced to unify the uplink and downlink beam processing, improve performance and reduce latency.
[0003] In traditional wireless communications, UE (User Equipment) obtains channel information by measuring downlink reference signals. The channel information includes, but is not limited to, one or more of CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator) or CQI (Channel quality indicator).
[0004] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios, and the improvement of system performance requirements, traditional measurement and reporting methods will bring a lot of redundant overhead. Therefore, in NR R (release) 18, the research on AI (Artificial Intelligence) / ML (Machine Learning) technology was established to explore its impact on system performance and system design. Compared with traditional processing methods, AI / ML has the characteristics of being based on training and requiring deployment. Summary of the invention
[0005] The applicant has found through research that when AI / ML functions are introduced, the existing beam management scheme needs to be enhanced. In response to the above problems, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as traditional beam management schemes. In addition, the use of a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional beam management schemes) also helps to reduce hardware complexity and cost. In the absence of conflict, the embodiments in the first node of the present application and the features in the embodiments can be applied to the second node, and vice versa. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.
[0006] As an example, the interpretation of the terms in the present application refers to the definitions of the TS38 series of specification protocols of 3GPP.
[0007] As an example, the interpretation of the terms in the present application refers to the definitions of the TS28 series of specification protocols of 3GPP.
[0008] The present application discloses a method in a first node used for wireless communication, characterized by comprising:
[0009] Receiving a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources;
[0010] receiving a first MAC CE;
[0011] sending a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;
[0012] receiving a first DCI;
[0013] receiving a first signal;
[0014] The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0015] As an embodiment, the problem to be solved by the present application includes: in an AI / ML-based beam management solution, how to determine the quasi-co-location information of the signal indicated by the MAC CE through the DCI.
[0016] As an embodiment, in the above method, the above problem is solved by mapping the quasi co-location information indicated by the MAC CE to different code points in the DCI.
[0017] As an embodiment, the characteristics of the above method include: the quasi-co-location information used for signal transmission is obtained based on training or AI
[0018] As an embodiment, the benefits of the above method include: improving the accuracy and real-time performance of channel information reporting and reducing reporting overhead.
[0019] As an embodiment, the benefits of the above method include: saving signaling overhead.
[0020] As an embodiment, the benefits of the above method include: improving the flexibility and reliability of transmission.
[0021] As an embodiment, the benefits of the above method include: improving the overall performance of the system.
[0022] As an embodiment, the benefits of the above method include: having good backward compatibility.
[0023] As an embodiment, the benefits of the above method include: selecting a suitable spatial filter to send a downlink signal.
[0024] According to one aspect of the present application, it is characterized in that the first node is a user equipment.
[0025] According to one aspect of the present application, it is characterized in that the first node is a relay node.
[0026] According to one aspect of the present application, it is characterized in that the quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
[0027] As an embodiment, the characteristic of the above method is that different quasi-co-location information is applied to signals transmitted in different time windows.
[0028] As an embodiment, the benefits of the above method include: improving the accuracy and real-time performance of channel information reporting and improving transmission reliability.
[0029] According to one aspect of the present application, it is characterized in that the first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
[0030] As an embodiment, the benefits of the above method include better adaptability to various application scenarios or terminals, and improved flexibility and adaptability.
[0031] According to one aspect of the present application, it is characterized in that the first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
[0032] As an embodiment, the above method has the advantages of good flexibility.
[0033] According to one aspect of the present application, it is characterized in that N1 CSIs are sent by the first node, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,
[0034] The first CSI is a CSI with the highest priority among the N1 CSIs;
[0035] Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs;
[0036] Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
[0037] As an embodiment, the benefits of the above method include: the UE sends multiple CSIs to report channel information, which provides more accurate channel information to the base station and improves system performance.
[0038] According to one aspect of the present application, it is characterized in that N2 CSIs are sent by the first node, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
[0039] As an embodiment, the benefits of the above method include better adaptability to various application scenarios or terminals, and improved flexibility and adaptability.
[0040] As an embodiment, the benefits of the above method include improving the accuracy of channel information reporting.
[0041] According to one aspect of the present application, it is characterized in that the generation of the first CSI is based on training or AI.
[0042] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).
[0043] As an embodiment, the benefits of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.
[0044] As an embodiment, the benefits of the above method include: improving the accuracy and real-time performance of channel information reporting.
[0045] According to one aspect of the present application, it is characterized by comprising:
[0046] A first operation is performed, wherein an input of the first operation depends on a measurement based on the first resource set; and the first CSI depends on an output of the first operation.
[0047] As an embodiment, the benefits of the above method include: improving the accuracy and real-time performance of channel information reporting.
[0048] According to one aspect of the present application, it is characterized in that the first operation is based on training or AI.
[0049] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).
[0050] As an embodiment, the benefits of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.
[0051] According to one aspect of the present application, it is characterized by comprising:
[0052] Deploy the first operation.
[0053] As an embodiment, the benefits of the above method include: sufficient freedom is reserved for the first node to adapt to various scenarios and terminals, and it has adaptability and flexibility.
[0054] As an embodiment, the benefits of the above method include: the training for the first operation may not be performed on the first node, thereby reducing the demand for processing capability and power consumption of the first node.
[0055] According to one aspect of the present application, it is characterized in that the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[0056] As an embodiment, the benefits of the above method include: reducing the overhead required to obtain channel information.
[0057] As an embodiment, the benefits of the above method include: reducing the measurement resources required to obtain channel information.
[0058] According to one aspect of the present application, it is characterized by comprising:
[0059] A reference signal is received in the first set of resources.
[0060] As an embodiment, the benefits of the above method include: good backward compatibility.
[0061] The present application discloses a method used in a second node of wireless communication, characterized by comprising:
[0062] Sending a first configuration information block, where the first configuration information block indicates a first resource set, and the first resource set includes one or more RS resources;
[0063] Sending a first MAC CE;
[0064] receiving a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;
[0065] Sending a first DCI;
[0066] sending a first signal;
[0067] The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0068] According to one aspect of the present application, it is characterized in that the second node is a base station.
[0069] According to one aspect of the present application, it is characterized in that the second node is a user equipment.
[0070] According to one aspect of the present application, it is characterized in that the second node is a relay node.
[0071] According to one aspect of the present application, it is characterized in that the quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
[0072] According to one aspect of the present application, it is characterized in that the first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
[0073] According to one aspect of the present application, it is characterized in that the first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
[0074] According to one aspect of the present application, it is characterized in that N1 CSIs are sent by the target receiver of the first configuration information block, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,
[0075] The first CSI is a CSI with the highest priority among the N1 CSIs;
[0076] Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs;
[0077] Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
[0078] According to one aspect of the present application, it is characterized in that N2 CSIs are sent by the target recipient of the first configuration information block, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
[0079] According to one aspect of the present application, it is characterized in that the generation of the first CSI is based on training or AI.
[0080] According to one aspect of the present application, it is characterized in that the target receiver of the first configuration information block performs a first operation, the input of the first operation depends on the measurement based on the first resource set; the first CSI depends on the output of the first operation.
[0081] According to one aspect of the present application, it is characterized in that the first operation is based on training or AI.
[0082] According to one aspect of the present application, it is characterized in that the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[0083] According to one aspect of the present application, it is characterized by comprising:
[0084] A reference signal is sent in the first resource set.
[0085] The present application discloses a terminal, characterized in that the terminal comprises: one or more processors and a memory;
[0086] The memory is coupled to the one or more processors, and is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the terminal to execute the method in the first node.
[0087] The present application discloses a base station, characterized in that the base station comprises: one or more processors and a memory;
[0088] The memory is coupled to the one or more processors, and is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to cause the base station to perform the method in the second node.
[0089] The present application discloses a first node used for wireless communication, characterized in that it includes:
[0090] A first receiver receives a first configuration information block, wherein the first configuration information block indicates a first resource set, wherein the first resource set includes one or more RS resources; receives a first MAC CE; receives a first DCI; and receives a first signal;
[0091] A first transmitter sends a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;
[0092] The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0093] The present application discloses a second node used for wireless communication, characterized in that it includes:
[0094] A second transmitter sends a first configuration information block, where the first configuration information block indicates a first resource set, where the first resource set includes one or more RS resources; sends a first MAC CE; sends a first DCI; and sends a first signal;
[0095] A second receiver receives a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;
[0096] The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0097] As an embodiment, compared with the traditional solution, this application has the following advantages:
[0098] Higher channel information accuracy and real-time performance, enhanced overall system performance;
[0099] Lower air interface overhead;
[0100] More flexible and diverse input information;
[0101] Greater flexibility and adaptability;
[0102] Enhanced reliability and robustness. BRIEF DESCRIPTION OF THE DRAWINGS
[0103] 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:
[0104] Figure 1 A flowchart of a first configuration information block, a first MAC CE, a first CSI, a first DCI, and a first signal according to an embodiment of the present application is shown;
[0105] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;
[0106] Figure 3A 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;
[0107] 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;
[0108] Figure 5 A flow chart showing transmission between a first node and a second node according to an embodiment of the present application;
[0109] Figure 6 A schematic diagram showing that quasi co-location information of a first signal depends on a first CSI according to an embodiment of the present application;
[0110] Figure 7 A schematic diagram showing the relationship between the first category value and T2 code points according to an embodiment of the present application;
[0111] Figure 8 A schematic diagram showing a first type of value mapped to a first code point of a target domain according to an embodiment of the present application is used to identify a reporting configuration of a first CSI;
[0112] Fig. 9 A schematic diagram of a first CSI according to an embodiment of the present application is shown;
[0113] Fig.10 A schematic diagram of a first CSI according to another embodiment of the present application is shown;
[0114] Fig.11 A schematic diagram showing that generation of a first CSI according to an embodiment of the present application is based on training or AI;
[0115] Fig.12 A schematic diagram showing a first node performing a first operation according to an embodiment of the present application is shown;
[0116] Fig.13 A schematic diagram showing a first operation according to an embodiment of the present application;
[0117] Fig.14 A schematic diagram showing a first node deploying a first operation according to an embodiment of the present application is shown;
[0118] Fig.15 A schematic diagram showing a second resource set according to an embodiment of the present application is shown;
[0119] Fig.16 A schematic diagram of receiving a reference signal in a first resource set according to an embodiment of the present application is shown.
[0120] Fig.17 A schematic diagram showing a first operation according to an embodiment of the present application is shown.
[0121] Fig.18 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;
[0122] Fig.19 A schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application is shown;
[0123] Fig. 20 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;
[0124] Fig.21 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION
[0125] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as but not limited to the attached drawings. Figure 1 The embodiments and appendix Figure 5 -Attached Fig.21 The embodiments in Figure 5 The embodiments and appendix Figure 6 -Attached Fig.21 The embodiments in , etc.
[0126] Example 1
[0127] Embodiment 1 illustrates a flowchart of a first configuration information block, a first MAC CE, a first CSI, a first DCI, and a first signal according to an embodiment of the present application, as shown in the attached Figure 1 As shown in the attached Figure 1 In the illustrated 100, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific time sequence between the steps.
[0128] In embodiment 1, the first node receives a first configuration information block in step 101; receives a first MAC CE in step 102; sends a first CSI in step 103; receives a first DCI in step 104; and receives a first signal in step 105; wherein the first configuration information block indicates a first resource set, the first resource set includes one or more RS resources; the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code points or the T2 code points, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points in the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code points, the quasi-co-location information of the first signal depends on the first CSI.
[0129] As an embodiment, the first configuration information block is carried by higher layer signaling.
[0130] As an embodiment, the first configuration information block is carried by RRC (Radio Resource Control) signaling.
[0131] As an embodiment, the first configuration information block is carried by an RRC IE (Information Element).
[0132] As an embodiment, the first configuration information block is carried by at least one RRC IE.
[0133] As an embodiment, the first configuration information block includes information in one or more fields in at least one RRC IE.
[0134] As an embodiment, the first configuration information block includes information in one or more fields of each RRC IE in multiple RRC IEs.
[0135] As an embodiment, the first configuration information block is an RRC IE.
[0136] As an embodiment, the first configuration information block belongs to the CSI-ReportConfig IE.
[0137] As an embodiment, the first configuration information block belongs to ServingCellConfig IE.
[0138] As an embodiment, the first configuration information block belongs to CSI-MeasConfig IE.
[0139] As an embodiment, the first configuration information block belongs to ServingCellConfigCommon IE.
[0140] As an embodiment, the first configuration information block belongs to ServingCellConfigCommonSIB IE.
[0141] As an embodiment, the first configuration information block includes part or all of the fields in the CSI-ReportConfig IE.
[0142] As an embodiment, the first configuration information block includes part or all of the fields in the ServingCellConfig IE.
[0143] As an embodiment, the first configuration information block includes part or all of the fields in the CSI-MeasConfig IE.
[0144] As an embodiment, the first configuration information block includes part or all of the fields in the ServingCellConfigCommon IE.
[0145] As an embodiment, the first configuration information block includes part or all of the fields in the ServingCellConfigCommonSIB IE.
[0146] As an embodiment, the resources in the first resource set include at least one of antenna ports, TCI (Transmission Configuration Indication) status, QCL (Quasi Co-Location) information, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.
[0147] As an embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and an RS resource set includes one or more RS resources.
[0148] As an embodiment, the first resource set includes at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.
[0149] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources.
[0150] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources.
[0151] As an embodiment, the first resource set includes at least one RS resource set for interference measurement; an RS resource set for interference measurement includes one or more RS resources.
[0152] As an embodiment, an RS resource set for channel measurement includes one or more RS resources, and any RS resource in the RS resource set for channel measurement is a CSI-RS resource or a synchronization signal resource.
[0153] As an embodiment, an RS resource set for interference measurement includes one or more RS resources.
[0154] As an embodiment, an RS resource set for interference measurement includes one or more RS resources, and any RS resource in the RS resource set for interference measurement is a CSI-IM resource or an NZP (non-zero power) CSI-RS resource for interference measurement.
[0155] As an embodiment, the first resource set includes one or more RS resources.
[0156] As an embodiment, the first resource set includes one or more downlink RS resources.
[0157] As an embodiment, the first resource set includes one or more RS resources, and any RS resource in the first resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.
[0158] As an embodiment, the synchronization signal resources include at least resources occupied by the synchronization signal.
[0159] As an embodiment, the synchronization signal resource is SSB (Synchronization Signal Block).
[0160] As an embodiment, the synchronization signal resource is a SS / PBCH (synchronization signal / physical broadcast channel) block resource.
[0161] As an embodiment, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set.
[0162] As an embodiment, the first configuration information block includes at least one resource configuration, and the at least one resource configuration indicates the first resource set.
[0163] As an embodiment, a resource configuration is used to configure CSI resources.
[0164] As an embodiment, a resource configuration is an IE CSI-ResourceConfig.
[0165] As an embodiment, a resource configuration is carried by RRC IE.
[0166] As an embodiment, a resource configuration is carried by a CSI-ResourceConfig IE.
[0167] As an embodiment, the first configuration information block indicates configuration information of the first resource set.
[0168] As an embodiment, the first configuration information block indicates an identifier of the first resource set.
[0169] As an embodiment, the name of the first MAC CE includes TCI States Activation / Deactivation.
[0170] As an embodiment, the name of the first MAC CE includes Unified TCI States.
[0171] As an embodiment, the name of the first MAC CE includes TCI States.
[0172] As an embodiment, the first MAC CE includes a CORESET Pool ID field, a Serving Cell ID field, a DLBWP ID field, a ULBWP ID field, a T i domain, and at least one of the TCI state ID domain.
[0173] As an embodiment, the first MAC CE includes at least one TCI state ID field.
[0174] As an embodiment, the TCI state ID field of the first MAC CE indicates the index of at least one TCI state.
[0175] As an embodiment, the index of the TCI state is TCI-StateId or TCI-UL-StateId.
[0176] As an embodiment, the index of the TCI state is TCI-StateId or TCI-UL-StateId-r17.
[0177] As an embodiment, the first MAC CE includes at least one T i domain.
[0178] As an embodiment, the T of the first MAC CE i The field indicates whether a TCI state is an activation state (status) or a deactivation state (status), and the TCI state is identified by TCI-StateId i.
[0179] As a sub-embodiment of the above embodiment, the T i When the TCI state identified by TCI-StateId i is activated, the TCI state of the first MAC CE is activated. i When the field is set to 0, the TCI state identified by TCI-StateId i is deactivated.
[0180] As a sub-embodiment of the above embodiment, the T iWhen the TCI state identified by TCI-StateId i is set to 1, the TCI state identified by TCI-StateId i shall be activated; the TCI state of the first MAC CE i When the field is set to 0, the TCI state identified by TCI-StateId i shall be deactivated.
[0181] As an embodiment, the first DCI includes DCI format 1_1.
[0182] As an embodiment, the first DCI includes DCI format 1_2.
[0183] As an embodiment, the first DCI is DCI format 1_1 or DCI format 1_2.
[0184] As an embodiment, the first DCI includes a target field, and the target field of the first DCI is a Transmission Configuration Indicator (TCI) field.
[0185] As an embodiment, the first DCI carries a TCI state indication (TCI State indication) and has no downlink assignment (DL assignment).
[0186] As an embodiment, the first DCI carries a TCI state indication (TCI State indication) and schedules PDSCH.
[0187] As an embodiment, the first DCI indicates scheduling information of the scheduled PDSCH.
[0188] As an embodiment, the scheduling information includes: one or more of time domain resources, frequency domain resources, MCS (Modulation and coding scheme), DMRS port, HARQ (Hybrid Automatic Repeat request) process number, RV (Redundancy Version) or NDI (New Data Indicator).
[0189] Typically, the target field is a Transmission Configuration Indicator field.
[0190] As an embodiment, the first CSI includes at least one CSI report.
[0191] As an embodiment, the first CSI includes predicted channel information.
[0192] As an embodiment, the first CSI includes predicted beam information.
[0193] As an embodiment, the first CSI includes at least one of CQI (Channel quality indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH block resource indicator (SS / PBCH Block Resource indicator, SSBRI), layer indication (Layer Indicator, LI), RI (Rank Indicator, rank indication), L1-RSRP (Layer 1 reference signal received power, layer 1 reference signal received power) or L1-SINR (Layer 1 signal-to-noise and interference ratio, layer 1 signal to noise ratio)
[0194] As an embodiment, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index and TDCP.
[0195] As an embodiment, the first CSI includes a channel matrix.
[0196] As an embodiment, the first CSI includes a feature vector.
[0197] As an embodiment, the first CSI includes an eigenvector and an eigenvalue.
[0198] As an embodiment, the first CSI includes precoding information.
[0199] As an embodiment, the first CSI includes non-codebook based precoding information.
[0200] As an embodiment, the first CSI is used to determine at least one precoding matrix.
[0201] As an embodiment, the first CSI indicates at least one precoding matrix.
[0202] As an embodiment, the precoding matrix is in spatial-frequency domain.
[0203] As an embodiment, the precoding matrix is an angular-delay domain projection.
[0204] As an embodiment, the first CSI includes information about relative phase, amplitude and / or coefficient between multiple antenna ports.
[0205] As an embodiment, the first CSI includes compressed CSI.
[0206] As an embodiment, the first CSI includes predicted / estimated CSI.
[0207] As an embodiment, the first resource set is used for channel measurement of the first CSI, and any RS resource in the first resource set used for the channel measurement of the first CSI is a CSI-RS resource or a synchronization signal resource.
[0208] As an embodiment, the first resource set is used for interference measurement of the first CSI, and any RS resource in the first resource set used for the interference measurement of the first CSI is a CSI-IM resource or an NZP (non-zero power) CSI-RS resource for interference measurement.
[0209] In one embodiment, the target domain further includes a code point other than the T1 code points and the T2 code points.
[0210] As an embodiment, the T2 code points are indicated to the first node by the sender of the first configuration information block.
[0211] As an embodiment, the T1 code points are indicated by the first MAC CE.
[0212] As an embodiment, the T2 code points are indicated by the first MAC CE.
[0213] As an embodiment, the T2 code points are predefined.
[0214] As an embodiment, the T2 code points are configurable.
[0215] As an embodiment, the T2 code points are the default.
[0216] As an embodiment, the T2 code points are default code points in the target domain.
[0217] As an embodiment, the T2 code points being the default code points in the target domain includes: the T2 code points being the minimum T2 code points in the target domain.
[0218] As an embodiment, the T2 code points being the default code points in the target domain includes: the T2 code points being the maximum T2 code points in the target domain.
[0219] As an embodiment, the T2 code points being the default code points in the target domain includes: the T2 code points are the smallest T2 code points other than the T1 code points among all the code points in the target domain.
[0220] As an embodiment, the T2 code points being the default code points in the target domain includes: the T2 code points are the largest T2 code points other than the T1 code points among all the code points in the target domain.
[0221] As an embodiment, the value of the target domain in the first DCI belongs to the T1 code points, including: the candidates for the value of the target domain in the first DCI include T1 values, and the T1 values correspond to the T1 code points in sequence.
[0222] As an embodiment, the value of the target domain in the first DCI belongs to the T1 code points, including: candidates for the value of the target domain in the first DCI include T1 values, and the T1 values are respectively equal to the T1 code points.
[0223] As an embodiment, the value of the target domain in the first DCI belongs to the T2 code points, including: the candidates for the value of the target domain in the first DCI include T2 values, and the T2 values correspond to the T2 code points in sequence.
[0224] As an embodiment, the value of the target domain in the first DCI belongs to the T2 code points, including: the candidates for the value of the target domain in the first DCI include T2 values, and the T2 values are respectively equal to the T2 code points.
[0225] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points of the target domain includes: the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points among the T1 code points and the T2 code points.
[0226] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points of the target domain includes: the first MAC CE does not indicate a TCI state for any of the T2 code points.
[0227] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points of the target domain means that: the first MAC CE indicates that T1 TCI state groups are respectively mapped to only T1 code points of the target domain, and any TCI state group of the T1 TCI state groups includes one or more TCI states.
[0228] As an embodiment, the first MAC CE indicates that at least one TCI state is mapped to each of only T1 code points of the target domain, which means that: the first MAC CE indicates that T1 TCI state groups are respectively mapped to only T1 code points of the target domain according to their ordinal positions in the T1 TCI state groups, and any TCI state group in the T1 TCI state groups includes one or more TCI states.
[0229] As an embodiment, the first signal is a PDSCH scheduled by the first DCI.
[0230] As an embodiment, the first signal is a first type signal.
[0231] As an embodiment, the quasi co-location information of the first signal includes: quasi co-location parameters of the first signal.
[0232] As an embodiment, the quasi-co-location information of the first signal includes: RS resources that are quasi-co-located with the first signal.
[0233] As an embodiment, the quasi-co-location information of the first signal includes: indicating a TCI state of an RS resource that is quasi-co-located with the first signal.
[0234] As an embodiment, the quasi-co-site information of the first signal includes: a TCI state of the first signal.
[0235] As an embodiment, the TCI state includes a TCI state identified by TCI-StateId.
[0236] As an embodiment, the TCI state includes a TCI state identified by TCI-StateId and a TCI state identified by TCI-UL-StateId.
[0237] As an embodiment, the TCI state includes a DL / joint TCI state.
[0238] As an embodiment, the TCI state includes a DL / joint TCI state and a UL TCI state.
[0239] As an embodiment, the TCI state indicates a quasi co-location relationship.
[0240] As an embodiment, the TCI state indicates one or more reference signal resources.
[0241] As an embodiment, the TCI state indicates at least one reference signal resource.
[0242] As an embodiment, any reference signal resource indicated by the TCI state is one of an SRS (Sounding Reference Signal) resource, a CSI-RS (Channel State Information Reference Signal) resource, or an SS / PBCH (Synchronization Signal / Physical Broadcast Channel) block resource.
[0243] As an embodiment, any reference signal resource indicated by the TCI state is a CSI-RS resource or a SS / PBCH block resource.
[0244] As an embodiment, the TCI state indicates at least one reference signal resource and a quasi-co-location (QCL) parameter corresponding to each reference signal resource.
[0245] As an embodiment, the TCI state indicates at least one reference signal resource and the type of quasi co-location parameter corresponding to each of the reference signal resources.
[0246] As an embodiment, the types of the quasi-co-location parameters include TypeA, TypeB, TypeC and TypeD.
[0247] As an embodiment, the quasi-co-location parameters of Type A include Doppler shift, Doppler spread, average delay, and delay spread.
[0248] As an embodiment, the quasi-co-location parameters of Type B include Doppler shift and Doppler spread.
[0249] As an embodiment, the quasi-co-location parameters of Type C include Doppler shift and average delay.
[0250] As an embodiment, the quasi-co-location parameter of Type D includes a spatial reception parameter (SpatialRxparameter).
[0251] As an embodiment, the specific definitions of TypeA, TypeB, TypeC and TypeD refer to Section 5.1.5 of 3GPP TS38.214.
[0252] As an embodiment, the quasi-co-site parameters include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial reception parameters (Spatial Rx parameter).
[0253] As an embodiment, the quasi-co-site parameters include Doppler shift and Doppler spread.
[0254] As an embodiment, the quasi-co-site parameters include Doppler shift and average delay.
[0255] As an embodiment, the quasi-co-location parameter includes a spatial reception parameter (Spatial Rx parameter).
[0256] As an embodiment, the quasi-co-location parameter includes at least one of a spatial transmission parameter or a spatial reception parameter.
[0257] As an embodiment, the quasi co-location parameter includes a spatial domain receive filter (Spatial Domain Receive Filter).
[0258] As an embodiment, the quasi co-location parameter includes a spatial domain filter (Spatial Domain Filter).
[0259] As an embodiment, the quasi co-location parameter includes at least one of a spatial domain transmit filter or a spatial domain receive filter.
[0260] As an embodiment, when the value of the target domain in the first DCI belongs to the T1 code point, the quasi co-location information of the first signal depends on the first MAC CE and includes: the quasi co-location information of the first signal is indicated by the first MAC CE.
[0261] As an embodiment, when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE and includes: the value of the target domain in the first DCI is the second code point, and the TCI state of the first signal is the TCI state of the second code point mapped to the target domain indicated by the first MAC CE.
[0262] As an embodiment, when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE and includes: the value of the target domain in the first DCI is a second code point, and the RS resources in the TCI state mapped to the second code point of the target domain indicated by the first signal and the first MAC CE have the same quasi-co-location parameters.
[0263] As an embodiment, when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE and includes: the value of the target domain in the first DCI is a second code point, and the RS resources in the TCI state mapped to the second code point of the target domain indicated by the first signal and the first MAC CE are quasi-co-located.
[0264] As an embodiment, the quasi co-location information of the first signal depends on the first CSI, including: the quasi co-location information of the first signal is indicated by the first CSI.
[0265] As an embodiment, the quasi-co-location information of the first signal depends on the first CSI and includes: the first CSI indicates at least one RS resource, and the first signal and the at least one RS resource indicated by the first CSI are quasi-co-located.
[0266] As an embodiment, the quasi-co-location information of the first signal depends on the first CSI and includes: the first CSI indicates at least one TCI state, and the first signal and the RS resources in the at least one TCI state indicated by the first CSI are quasi-co-located.
[0267] As an embodiment, the quasi co-location information of the first signal depends on the first CSI and includes: the first CSI indicates at least one beam, and the sending or receiving of the first signal adopts the at least one beam indicated by the first CSI.
[0268] Example 2
[0269] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.
[0270] Attached Figure 2The network architecture 200 is described. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted by 3GPP in the future evolution; the network architecture 200 may be called 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 may be called 6GS (6G System); the network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220 and Internet service 230. The network architecture 200 may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 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. The RAN includes a node 203. The RAN may also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 may be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The 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. The core network 210 is 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE201 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 UE201 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 the core network 210 via an S1 / NG interface. The core network 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / 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 the core network 210. Generally, MME / AMF / SMF211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, and S-GW / UPF212 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. The Internet service 230 includes the operator's corresponding Internet protocol service, which may specifically include the Internet, intranet, IMS (IP Multimedia Subsystem) and packet switching services.
[0271] As an embodiment, the first node includes the UE201.
[0272] As an embodiment, the second node includes the node 203.
[0273] As an embodiment, the wireless link between the UE 201 and the node 203 includes a cellular network link.
[0274] As an embodiment, the sender of the first configuration information block includes the node 203.
[0275] As an embodiment, the receiver of the first configuration information block includes the UE201.
[0276] As an embodiment, the sender of the first MAC CE includes the node 203.
[0277] As an embodiment, the receiver of the first MAC CE includes the UE201.
[0278] As an embodiment, the sender of the first DCI includes the node 203.
[0279] As an embodiment, the recipient of the first DCI includes the UE201.
[0280] As an embodiment, the sender of the first signal includes the node 203.
[0281] As an embodiment, the receiver of the first signal includes the UE201.
[0282] As an embodiment, the sender of the reference signal in the first resource set includes the node 203.
[0283] As an embodiment, the receiver of the reference signal in the first resource set includes the UE201.
[0284] As an embodiment, the sender of the first CSI includes the UE201.
[0285] As an embodiment, the receiver of the first CSI includes the node 203.
[0286] Example 3
[0287] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown.
[0288] 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 of the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs is shown with 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 PHY301 in this article. Layer 2 (L2 layer) 305 is above PHY301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides support for inter-zone mobility of the first communication node device between the second communication node device. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture used for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in 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, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).
[0289] As an example, Figure 3 The wireless protocol architecture is applicable to the first node.
[0290] As an example, Figure 3 The wireless protocol architecture is applicable to the second node.
[0291] As an embodiment, the higher layer in the present application refers to a layer above the physical layer.
[0292] As an embodiment, the first configuration information block is generated in the RRC sublayer 306.
[0293] As an embodiment, the first MAC CE is generated in the MAC sublayer 302 or the MAC sublayer 352.
[0294] As an embodiment, the first DCI is generated by the PHY301 or the PHY351.
[0295] As an embodiment, the first signal is generated by the PHY301 or the PHY351.
[0296] As an embodiment, the first CSI is generated in the MAC sublayer 302 or the MAC sublayer 352.
[0297] As an embodiment, the first CSI is generated by the PHY301 or the PHY351.
[0298] Example 4
[0299] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.
[0300] The first communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 and an antenna 420 .
[0301] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.
[0302] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, the 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 DL (DownLink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for 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 450, as well as constellation mapping 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 on the coded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing to generate one or more parallel The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to different antennas 420.
[0303] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of 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 parallel stream destined for the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using confirmation (ACK) and / or negative confirmation (NACK) protocols to support HARQ operations.
[0304] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.
[0305] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the reception function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.
[0306] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 device at least: receives a first configuration information block, the first configuration information block indicates a first resource set, the first resource set includes one or more RS resources; receives a first MAC CE; sends a first CSI, the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; receives a first DCI; receives a first signal; wherein the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code points or the T2 code points, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0307] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generates an action when executed by at least one processor, the action including: receiving a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receiving a first MAC CE; sending a first CSI, the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; receiving a first DCI; receiving a first signal; wherein the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points in the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code points, the quasi-co-location information of the first signal depends on the first CSI.
[0308] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, wherein the at least one memory includes computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The first communication device 410 device at least: sends a first configuration information block, the first configuration information block indicates a first resource set, the first resource set includes one or more RS resources; sends a first MAC CE; receives a first CSI, the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; sends a first DCI; sends a first signal; wherein the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code points or the T2 code points, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0309] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generates an action when executed by at least one processor, the action including: sending a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; sending a first MAC CE; receiving a first CSI, the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; sending a first DCI; sending a first signal; wherein the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points in the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code points, the quasi-co-location information of the first signal depends on the first CSI.
[0310] As an embodiment, the first node in the present application includes the second communication device 450.
[0311] As an embodiment, the second node in the present application includes the first communication device 410.
[0312] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first configuration information block; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first configuration information block.
[0313] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the reference signal in the first resource set; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the reference signal in the first resource set.
[0314] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first MAC CE; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first MAC CE.
[0315] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first DCI; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first DCI.
[0316] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signal; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first signal.
[0317] As an embodiment, at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive the first CSI; and at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to send the first CSI.
[0318] Example 5
[0319] Embodiment 5 illustrates a flow chart of transmission between a first node and a second node according to an embodiment of the present application; Figure 5 As shown in the attached Figure 5 In the embodiment, the second node U1 and the first node U2 are communication nodes transmitted via the air interface. Figure 5 In the process, the steps in box F51 to box F53 are respectively optional.
[0320] For the second node U1, a reference signal is sent in a first resource set in step S511; a first configuration information block is sent in step S5101; a first CSI is received in step S5102; a first MAC CE is sent in step S5103; a first DCI is sent in step S5104; and a first signal is sent in step S5105.
[0321] For the first node U2, a first operation is deployed in step S521; a reference signal is received in a first resource set in step S522; a first configuration information block is received in step S5201; a first operation is performed in step S523; a first CSI is sent in step S5202; a first MAC CE is received in step S5203; a first DCI is received in step S5204; and a first signal is received in step S5205.
[0322] In embodiment 5, the first configuration information block indicates a first resource set, the first resource set includes one or more RS resources; the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MACCE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0323] As an embodiment, the first node U2 is the first node in this application.
[0324] As an embodiment, the second node U1 is the second node in this application.
[0325] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a base station device and a user equipment.
[0326] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a relay node device and a user equipment.
[0327] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipments.
[0328] As an embodiment, the second node U1 is a base station maintaining a service cell of the first node U2.
[0329] As an example, Figure 5 The steps in box F51 in exist; the method in the first node used for wireless communication includes: deploying a first operation.
[0330] As an example, Figure 5 The steps in box F51 exist.
[0331] As an embodiment, the deployment of the first operation is earlier than the reception of the first configuration information block.
[0332] As an embodiment, the deployment of the first operation is later than the reception of the first configuration information block.
[0333] As an embodiment, the sending of the first CSI is earlier than the receiving of the first MAC CE.
[0334] As an embodiment, the sending of the first CSI is later than the receiving of the first MAC CE.
[0335] As an example, Figure 5 The step in box F52 in exists; the method in the first node used for wireless communication includes: receiving a reference signal in the first resource set.
[0336] As an example, Figure 5 The step in box F52 exists; the method in the second node used for wireless communication includes: sending a reference signal in the first resource set.
[0337] As an example, Figure 5 The steps in box F53 exist; the method in the first node used for wireless communication includes: performing a first operation.
[0338] As an embodiment, the first configuration information block is transmitted on a PDSCH (Physical Downlink Shared Channel).
[0339] As an embodiment, the first MAC CE is transmitted on PDSCH (Physical Downlink Shared Channel).
[0340] As an embodiment, the first DCI is transmitted on a PDCCH (Physical Downlink Control Channel).
[0341] As an embodiment, the first CSI is transmitted on PUCCH (Physical Uplink Control Channel).
[0342] As an embodiment, the first CSI is transmitted on PUSCH (Physical Uplink Shared Channel).
[0343] As an embodiment, the first signal is transmitted on a PDSCH (Physical Downlink Shared Channel).
[0344] As an embodiment, it includes:
[0345] A first transmitter sends a HARQ-ACK corresponding to the first DCI in a first physical channel;
[0346] The first signal is a first type signal that is no earlier than a reference time slot in the time domain, and the reference time slot is the first time slot that is later than the first physical channel by at least a reference time interval.
[0347] As an embodiment, the first physical channel includes transmission on PUSCH (Physical uplink shared channel).
[0348] As an embodiment, the first physical channel includes transmission on PUCCH (Physical uplink control channel).
[0349] Typically, the HARQ-ACK corresponding to the first DCI is a positive HARQ-ACK corresponding to the first DCI.
[0350] As an embodiment, the HARQ-ACK corresponding to the first DCI indicates that the first DCI is correctly received.
[0351] As an embodiment, the HARQ-ACK corresponding to the first DCI indicates that the PDSCH scheduled by the first DCI is correctly received.
[0352] As an embodiment, the positive HARQ-ACK corresponding to the first DCI indicates that the first DCI is correctly received.
[0353] As an embodiment, the positive HARQ-ACK corresponding to the first DCI indicates that the PDSCH scheduled by the first DCI is correctly received.
[0354] As an embodiment, the first type of signal is the DMRS of the PDSCH.
[0355] As an embodiment, the first type of signal is the DMRS of the PDCCH.
[0356] As an embodiment, the first type of signal is a non-periodic CSI-RS.
[0357] As an embodiment, the first type of signal is a downlink signal.
[0358] As an embodiment, the first type of signal is a downlink reference signal.
[0359] As an embodiment, the first type of signal is a non-periodic CSI-RS.
[0360] As an embodiment, the first signal is a DMRS of a PDSCH.
[0361] As an embodiment, the first signal is a DMRS of a PDCCH.
[0362] As an embodiment, the first signal is a non-periodic CSI-RS.
[0363] As an embodiment, the first signal is a downlink signal.
[0364] As an embodiment, the first signal is a downlink reference signal.
[0365] As an embodiment, the first signal is a non-periodic CSI-RS.
[0366] As an embodiment, the first signal is a first type signal that is no earlier than a reference time slot in the time domain, which means that the first signal is a first type signal that is located in a time slot that is no earlier than a reference time slot.
[0367] As an embodiment, the first signal is a first type signal that is no earlier than a reference time slot in the time domain, which means that the first signal is a first type signal that is located in a starting time slot that is no earlier than a reference time slot.
[0368] As an embodiment, the reference time slot is the first time slot that is later than the last time slot occupied by the first physical channel by at least a reference time interval.
[0369] As an embodiment, the unit of the reference time interval is a time slot.
[0370] As an embodiment, the reference time interval is a time length of a positive integer number of time slots.
[0371] As an embodiment, the reference time interval is beamAppTime.
[0372] As an embodiment, the reference time interval is reported by the first node.
[0373] As an embodiment, the reference time interval is indicated by a capability report of the first node.
[0374] Example 6
[0375] Embodiment 6 illustrates a schematic diagram of how the quasi co-location information of the first signal depends on the first CSI according to an embodiment of the present application; Figure 6 As shown. In embodiment 6, the quasi-co-location information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-location information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-location information of the first signal depends on the second information block.
[0376] As an embodiment, the quasi-co-location information of the first signal depends on the first information block and includes: the first information block indicates a first TCI state, and the first signal and the RS resources in the first TCI state are quasi-co-located; the quasi-co-location information of the first signal depends on the second information block and includes: the second information block indicates a second TCI state, and the first signal and the RS resources in the second TCI state are quasi-co-located.
[0377] As an embodiment, the quasi-co-location information of the first signal depends on the first information block and includes: the first information block indicates a first beam, and the first signal is sent or received using the first beam; the quasi-co-location information of the first signal depends on the second information block and includes: the second information block indicates a second beam, and the first signal is sent or received using the second beam.
[0378] As an embodiment, the quasi-co-location information of the first signal depends on the first information block and includes: the first information block indicates a first RS resource, and the first signal and the first RS resource are quasi-co-located; the quasi-co-location information of the first signal depends on the second information block and includes: the second information block indicates a second RS resource, and the first signal and the second RS resource are quasi-co-located.
[0379] As an embodiment, a given signal and a given RS resource are quasi-co-located, the given RS resource is an RS resource in a TCI state indicated by the first information block, and the given signal is the first signal.
[0380] As an embodiment, a given signal and a given RS resource are quasi-co-located, the given RS resource is an RS resource in a TCI state indicated by the second information block, and the given signal is the first signal.
[0381] As an embodiment, a given signal and a given RS resource are quasi-co-located, the given RS resource is the RS resource indicated by the first information block, and the given signal is the first signal.
[0382] As an embodiment, a given signal and a given RS resource are quasi-co-located, the given RS resource is the RS resource indicated by the second information block, and the given signal is the first signal.
[0383] As an embodiment, that a given signal and a given RS resource are quasi-co-located includes: an antenna port of the given signal and the given RS resource are quasi-co-located.
[0384] As an embodiment, the given signal and the given RS resource are quasi co-located including: the reception of the given signal and the reception of the given RS resource apply the same QCL (Quasi Co-Location) parameters.
[0385] As an embodiment, the given signal and the given RS resource are quasi-co-located including: the first node assumes that the reception of the given signal and the reception of the given RS resource apply the same QCL parameters.
[0386] As an embodiment, the given signal and the given RS resource are quasi-co-located including: the first node applies the same QCL parameters to receive the given signal and the given RS resource.
[0387] As an embodiment, the given signal and the given RS resource are quasi co-located including: the QCL parameter of the given RS resource is applied to the reception of the given signal.
[0388] As an embodiment, the QCL parameter of the given RS resource is applied to the reception of the given signal, including: the QCL parameter of the given RS resource is used to infer the QCL parameter of receiving the given signal.
[0389] As an embodiment, the QCL parameter of the given RS resource being applied to the reception of the given signal includes: the reception of the given signal and the reception of the given RS resource applying the same QCL parameter.
[0390] As an embodiment, the QCL parameter of the given RS resource being applied to the reception of the given signal includes: the first node applying the same QCL parameter to receive the given signal and the given RS resource.
[0391] As an embodiment, the QCL parameter of the given RS resource is applied to the reception of the given signal, including: the first node assumes that the reception of the given signal and the reception of the given RS resource apply the same QCL parameter.
[0392] As an embodiment, the first CSI is sent earlier than the first time slot.
[0393] As an embodiment, the first CSI is sent earlier than the second time slot.
[0394] As an embodiment, the first CSI is sent earlier than the reference time slot.
[0395] As an embodiment, the reference time slot is no later than the first time slot.
[0396] As an embodiment, the reference time slot is no later than the second time slot.
[0397] As an embodiment, the reference time slot is no later than the starting time slot of the first time window.
[0398] As an embodiment, the reference time slot is no later than the starting time slot of the second time window.
[0399] As an embodiment, the first time slot and the first time window overlap.
[0400] As an embodiment, the first time slot belongs to the first time window.
[0401] As an embodiment, the second time slot and the second time window overlap.
[0402] As an embodiment, the second time slot belongs to the second time window.
[0403] As an embodiment, the first time window includes one time slot or multiple consecutive time slots, and the second time window includes one time slot or multiple consecutive time slots.
[0404] As an embodiment, the number of time slots included in the first time window is the same as the number of time slots included in the second time window.
[0405] As an embodiment, the number of time slots included in the first time window is different from the number of time slots included in the second time window.
[0406] As an embodiment, the end time slot of the first time window and the start time slot of the second time window are two consecutive time slots.
[0407] As an embodiment, any time slot included in the first time window does not belong to the second time window.
[0408] As an embodiment, the end time slot of the first time window and the start time slot of the second time window are two consecutive time slots, the first time slot belongs to the first time window, and the second time slot belongs to the second time window.
[0409] As an embodiment, any time slot included in the first time window does not belong to the second time window, the first time slot belongs to the first time window, and the second time slot belongs to the second time window.
[0410] As an embodiment, the first signal belonging to the first time window in the time domain includes: the time domain resources occupied by the first signal belong to the first time window.
[0411] As an embodiment, the first signal belonging to a first time window in the time domain includes: the first time window includes the time slot occupied by the first signal.
[0412] As an embodiment, the first signal belonging to the second time window in the time domain includes: the time domain resources occupied by the first signal belong to the second time window.
[0413] As an embodiment, the first signal belonging to the second time window in the time domain includes: the second time window includes the time slot occupied by the first signal.
[0414] As an embodiment, the channel information includes beam information.
[0415] As an embodiment, the channel information includes predicted channel information.
[0416] As an embodiment, the channel information includes predicted beam information.
[0417] As an embodiment, the beam information includes a beam indication or an RS resource indication.
[0418] As an embodiment, the beam information includes beam indication and RSRP.
[0419] As an embodiment, the beam information includes RS resource indication and RSRP.
[0420] As an embodiment, the beam information includes one or more of beam indication, CRI (CSI-RS Resource Indicator, channel state information reference signal resource indicator), SS / PBCH block resource indicator (SS / PBCH Block Resource indicator, SSBRI), and RSRP (reference signal received power).
[0421] As an embodiment, the channel information includes one or more of beam indication, CRI (CSI-RS Resource Indicator, channel state information reference signal resource indicator), SS / PBCH block resource indicator (SS / PBCH Block Resource indicator, SSBRI), and RSRP (reference signal received power).
[0422] As an embodiment, the RS resource in the present application is a SS / PBCH (Synchronization Signal / Physical Broadcast CHannel) block resource or a CSI-RS (Channel State Information-Reference Signal) resource.
[0423] As an embodiment, the RS resource in the present application is an SSB (Synchronization Signal Block) resource or a CSI-RS resource.
[0424] Example 7
[0425] Embodiment 7 illustrates a schematic diagram of the relationship between the first type value and T2 code points according to an embodiment of the present application; Figure 7 As shown in the attached Figure 7 In the embodiment 7, the first MAC CE indicates that at least one first-class value is mapped to each of the T2 code points of the target domain, and the first-class value is different from the TCI state identifier.
[0426] As an embodiment, the first MAC CE indicates that at least one first category value is mapped to each of the T2 code points of the target domain, including: the first MAC CE indicates that T2 first category value groups are respectively mapped to the T2 code points of the target domain, and any first category value group of the T2 first category value groups includes at least one first category value.
[0427] As an embodiment, the first MAC CE indicates that at least one first category value is mapped to each of the T2 code points of the target domain, including: the first MAC CE indicates that T2 first category value groups are mapped to the T2 code points of the target domain in sequence, and any first category value group of the T2 first category value groups includes at least one first category value.
[0428] As an embodiment, the first MAC CE indicates that at least one first category value is mapped to each of the T2 code points of the target domain, including: the first MAC CE indicates that T2 first category value groups are respectively mapped to the T2 code points of the target domain according to their ordinal positions in the T2 first category value groups, and any first category value group among the T2 first category value groups includes at least one first category value.
[0429] As an embodiment, the TCI state identifier is TCI-StateId.
[0430] As an embodiment, the TCI state identifier is used to identify a TCI state.
[0431] As an embodiment, the first category value is the first category identifier in this application.
[0432] As an embodiment, the first type of value is used to identify RS resources.
[0433] As an embodiment, the first type of value is used to indicate the most recent CSI reporting.
[0434] As an embodiment, the first type of value is used to indicate a time slot earlier than the time slot where the first DCI is located.
[0435] As an embodiment, the first type of value includes one or more characters.
[0436] As an embodiment, the first type of value is an integer.
[0437] As an embodiment, the first type of value is a non-negative integer.
[0438] Example 8
[0439] Embodiment 8 illustrates a schematic diagram of a first type value of a first code point mapped to a target domain according to an embodiment of the present application being used to identify a reporting configuration of a first CSI; Figure 8 As shown in the attached Figure 8 In the embodiment 8, the first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is the first code point, and a first type of value of the first code point mapped to the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
[0440] As an embodiment, the first type of value is used to identify a CSI reporting configuration, including: the first type of value is CSI-ReportConfigId.
[0441] As an embodiment, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; the generation of CSI under at least one of the T2 CSI reporting configurations is training-based or AI-based.
[0442] As an embodiment, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; the generation of CSI under each of the T2 CSI reporting configurations is based on training or AI.
[0443] As an embodiment, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; at least one CSI reporting configuration among the T2 CSI reporting configurations indicates a first type of identifier.
[0444] As an embodiment, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; each of the T2 CSI reporting configurations indicates a first type of identifier.
[0445] As an embodiment, at least one first category value is mapped to the first code point of the target domain.
[0446] As an embodiment, at least one first-category value is mapped to the first code point of the target domain, and the at least one first-category value mapped to the first code point respectively identifies a CSI reporting configuration.
[0447] As an embodiment, a first category value of the first code point mapped to the target domain is used to identify the first configuration information block.
[0448] As an embodiment, a first category value of the first code point mapped to the target domain is used to identify the first configuration information block, and the first configuration information block is used to configure the first CSI.
[0449] As an embodiment, a first category value of the first code point mapped to the target domain is used to identify the first configuration information block, and the first configuration information block indicates the first resource set, and the first resource set is used for at least one of channel measurement or interference measurement of the first CSI.
[0450] As an embodiment, the first configuration information block is CSI-ReportConfig IE.
[0451] As an embodiment, the first configuration information block includes CSI-ReportConfig IE.
[0452] As an embodiment, the first configuration information block indicates the reporting amount included in the first CSI.
[0453] As an embodiment, the first configuration information block includes a reportQuantity field, and the field in the first configuration information block indicates a reported quantity (report quantity) included in the first CSI.
[0454] As an embodiment, the reporting amount included in the first CSI includes at least one of CQI (Channel quality indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RSResource Indicator), SS / PBCH block resource indication (SS / PBCHBlockResource indicator, SSBRI), layer indication (Layer Indicator, LI), RI (Rank Indicator, rank indication), L1-RSRP (Layer 1reference signal received power, Layer 1 reference signal received power) or L1-SINR (Layer 1signal-to-noise and interference ratio, Layer 1 signal-to-noise ratio).
[0455] Example 9
[0456] Embodiment 9 illustrates a schematic diagram of a first CSI according to an embodiment of the present application; Fig. 9 In Embodiment 9, N1 CSIs are sent by the first node, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,
[0457] The first CSI is a CSI with the highest priority among the N1 CSIs;
[0458] Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs;
[0459] Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
[0460] As an embodiment, the N1 CSIs are carried on the same physical channel.
[0461] As an embodiment, the N1 CSIs are carried on the same PUCCH.
[0462] As an embodiment, the N1 CSIs are carried on the same PUSCH.
[0463] As an embodiment, the N1 CSIs are carried on different physical channels.
[0464] As an embodiment, the N1 CSIs are carried on different PUCCHs or PUSCHs.
[0465] As an embodiment, the N1 CSIs are all generated based on training or AI.
[0466] As an embodiment, at least one CSI among the N1 CSIs is generated based on training or based on AI.
[0467] As an embodiment, the first CSI being the CSI with the highest priority among the N1 CSIs includes: the first CSI being the CSI with the smallest priority value among the N1 CSIs.
[0468] Typically, a CSI report is associated with a priority value.
[0469] As an embodiment, each of the N1 CSIs is associated with a priority value.
[0470] As an embodiment, the priority value of a CSI association is equal to 2·N cells ·M s y+N cells ·M s ·k+M s ·c+s.
[0471] As an embodiment, when the one CSI is a non-periodic CSI report carried by PUSCH, the y is equal to 0; when the one CSI is a semi-continuous CSI report carried by PUSCH, the y is equal to 1; when the one CSI is a semi-continuous CSI report carried by PUCCH, the y is equal to 2; when the one CSI is a periodic CSI report carried by PUCCH, the y is equal to 3.
[0472] As an embodiment, the k depends on whether the one CSI carries L1-RSRP or L1-SINR; when the one CSI carries L1-RSRP or L1-SINR, the k is equal to 0; when the one CSI carries no L1-RSRP or L1-SINR, the k is equal to 1.
[0473] As an embodiment, the c is the index of the serving cell where the CSI is located (serving cell index).
[0474] As an example, the N cells It is the value of the higher layer parameter maxNrofServingCells.
[0475] As an embodiment, the s is reportConfigID, and the reportConfigID identifies the reporting configuration of the CSI.
[0476] As an embodiment, the M s It is the value of the higher layer parameter maxNrofCSI-ReportConfigurations.
[0477] As an embodiment, the first CSI relying on a default value among the N1 CSI reporting configuration identifiers means that the first CSI is a CSI whose reporting configuration among the N1 CSIs is identified by the minimum value among the N1 CSI reporting configuration identifiers.
[0478] As an embodiment, the first CSI relying on a default value among the N1 CSI reporting configuration identifiers means that: the first CSI is a CSI whose reporting configuration among the N1 CSIs is identified by a maximum value among the N1 CSI reporting configuration identifiers.
[0479] Example 10
[0480] Embodiment 10 illustrates a schematic diagram of a first CSI according to another embodiment of the present application; Fig.10 In embodiment 10, N2 CSIs are sent by the first node, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
[0481] As an embodiment, N3 CSIs among the N2 CSIs are generated based on training or AI, and N3 is a positive integer not greater than N2; wherein,
[0482] The first CSI is a CSI with the highest priority among the N3 CSIs;
[0483] Alternatively, the first CSI is the CSI that is sent latest among the N3 CSIs;
[0484] Alternatively, N3 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N3 CSIs, and the first CSI depends on a default value among the N3 CSI reporting configuration identifiers.
[0485] Embodiment 11
[0486] Embodiment 11 illustrates a schematic diagram of generating a first CSI based on training or AI according to an embodiment of the present application; Fig.11 In embodiment 11, the generation of the first CSI is based on training or AI.
[0487] As an embodiment, the reporting amount included in the first CSI depends on whether the generation of the first CSI is based on training or AI.
[0488] As an embodiment, whether the first CSI includes the first reporting amount depends on whether the generation of the first CSI is based on training or AI; only when the generation of the first CSI is based on training or AI, the first CSI includes the first reporting amount.
[0489] As a sub-embodiment of the above embodiment, the first reported amount includes probability information.
[0490] As a sub-embodiment of the above embodiment, the first reported amount includes confidence information.
[0491] As a sub-embodiment of the above embodiment, the first reported amount includes a beam indication.
[0492] As an embodiment, whether the first CSI includes the second reporting amount depends on whether the generation of the first CSI is based on training or AI; when the generation of the first CSI is based on training or AI, the first CSI does not include the second reporting amount; when the generation of the first CSI is not based on training or AI, the first CSI includes the second reporting amount.
[0493] As a sub-embodiment of the above embodiment, the second reporting amount is based on a codebook.
[0494] As a sub-embodiment of the above embodiment, the second reported amount includes PMI.
[0495] As a sub-embodiment of the above embodiment, the second reported amount includes CQI.
[0496] As an embodiment, the probability information indicates the probability that the corresponding beam is the optimal one or more beams.
[0497] As an embodiment, the probability information indicates the probability that the corresponding RS resource is the optimal one or more RS resources.
[0498] As an embodiment, the confidence information indicates accuracy.
[0499] As an embodiment, the confidence information indicates the accuracy of RSRP.
[0500] As an embodiment, the confidence information indicates the accuracy of the differential RSRP.
[0501] As an embodiment, the benefits of the above method include: improving the accuracy and reliability of channel information reporting and enhancing the overall performance of the system.
[0502] As an embodiment, whether the first CSI is based on a codebook depends on whether the generation of the first CSI is based on training or based on AI; when the generation of the first CSI is based on training or based on AI, the first CSI is not based on the codebook; when the generation of the first CSI is not based on training or based on AI, the first CSI is based on the codebook.
[0503] As an embodiment, when the generation of the first CSI is based on training or AI, the reporting quantity included in the first CSI belongs to a first reporting quantity set; when the generation of the first CSI is not based on training or AI, the reporting quantity included in the first CSI belongs to a second reporting quantity set; the first reporting quantity set includes one or more reporting quantities; the second reporting quantity set includes one or more reporting quantities; one reporting quantity in the first reporting quantity set does not belong to the second reporting quantity set.
[0504] As an embodiment, the reported amount in the present application includes at least one or more of resource indication, beam indication, PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, or confidence information.
[0505] As an embodiment, when the generation of the first CSI is based on training or AI, the first CSI does not belong to the CSI defined in 3GPP Rel-18 and earlier versions.
[0506] As an embodiment, when the generation of the first CSI is based on training or AI, the first CSI includes predicted channel or beam information, or compressed CSI.
[0507] As an embodiment, when the generation of the first CSI is based on training or AI, the first CSI includes CSI based on artificial intelligence or machine learning.
[0508] As an embodiment, when the generation of the first CSI is based on training or AI, the first CSI includes CSI generated based on a neural network.
[0509] As an embodiment, when the generation of the first CSI is based on training or AI, the first CSI includes CSI generated based on CNN (Conventional Neural Networks).
[0510] As an embodiment, the generation of the first CSI is based on training or AI, including: the generation of the first CSI uses an AI model.
[0511] As an embodiment, the generation of the first CSI is training-based or AI-based, including: the first CSI includes information based on artificial intelligence or machine learning.
[0512] As an embodiment, the generation of the first CSI is based on training or AI, including: the first CSI includes information generated based on a neural network.
[0513] As an embodiment, the generation of the first CSI is based on training or AI, including: the first CSI includes information generated based on CNN (Conventional Neural Networks).
[0514] As an embodiment, the generation of the first CSI is training-based or AI-based and includes: the first configuration information block indicates a first type of identifier.
[0515] As an embodiment, the generation of the first CSI is training-based or AI-based and includes: the first configuration information block indicates a first type of identifier, and the first operation is associated with the first type of identifier indicated by the first configuration information block.
[0516] As an embodiment, the generation of the first CSI is based on training or AI, including: the generation of the first CSI is associated with a first type of identifier.
[0517] As an embodiment, the generation of the first CSI is associated with the first type of identifier, including: the generation of the first CSI includes the target receiver of the first configuration information block performing a first operation, the input of the first operation depends on the measurement based on the first resource set, the first CSI depends on the output of the first operation, and the first operation is associated with the first type of identifier.
[0518] As an embodiment, the generation of the first CSI is associated with the first type of identifier, including: the generation of the first CSI uses an AI model identified by the first type of identifier.
[0519] As an embodiment, the generation of the first CSI is associated with the first type of identifier, including: an AI entity identified by the first type of identifier generates the first CSI.
[0520] As an embodiment, the generation of the first CSI is associated with the first type of identifier, including: the first CSI is generated by an AI entity, and the first type of identifier is used to identify the AI entity or function.
[0521] As an embodiment, the generation of the first CSI is associated with the first type of identifier, including: the generation of the first CSI belongs to an AI function, and the first type of identifier is used to identify the AI function.
[0522] As an embodiment, the first type identifier is a non-negative integer.
[0523] As an embodiment, the first type of identifier is a character string.
[0524] As an embodiment, the first type of identification is used to identify the AI model.
[0525] As an embodiment, the first type of identification is used to identify an AI entity.
[0526] As an embodiment, the first type of identification is used to identify the AI function.
[0527] As an embodiment, the benefits of the above method include that an AI entity or function is identified by the first type of identifier, which simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.
[0528] As an embodiment, the first type of identifier is a model identifier.
[0529] As an embodiment, the first type of identifier is used to identify an AI model.
[0530] As an embodiment, the first type of identifier is used by the first node to determine an AI model.
[0531] As an embodiment, the first type of identifier is used by the first node to determine the AI model adopted by the first operation.
[0532] As an embodiment, the benefits of the above method include identifying an AI model / entity / function through the first type of identifier, simplifying the design and unifying the understanding of different AI entities / functions among multiple nodes.
[0533] As an embodiment, the first type of identifier is used to identify or indicate a resource set.
[0534] As an embodiment, the first type of identifier is used to identify or indicate a resource set, and measurements on the resource set are used to obtain a training data set.
[0535] As an embodiment, the first type of identifier is used to identify or indicate a resource set.
[0536] As an embodiment, the first type of identifier is used to identify or indicate a training data set.
[0537] As an embodiment, the benefits of the above method include that by identifying an AI training or an AI training data set to identify the inferences generated by this AI training or AI training data set, a consensus is established between different AI functions, further simplifying the design.
[0538] As an embodiment, generation of the first CSI is based on training or AI, and the first node is not required to measure the second set of resources.
[0539] As an embodiment, generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.
[0540] As an embodiment, generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.
[0541] As an embodiment, generation of the first CSI is based on training or AI, and only the first resource set of the first resource set and the second resource set is used for measurement.
[0542] As an embodiment, the generation of the first CSI is based on training or AI, and the first CSI includes the output of the first operation.
[0543] As an embodiment, the generation of the first CSI is based on training or AI, and the first CSI includes a post-processed output of the first operation.
[0544] As an embodiment, the generation of the first CSI is based on training or AI, and the first CSI includes a truncated and / or quantized output of the first operation.
[0545] Example 12
[0546] Embodiment 12 illustrates a schematic diagram of a first node performing a first operation according to an embodiment of the present application; Fig.12 In embodiment 12, the first node performs a first operation, an input of the first operation depends on a measurement based on the first resource set; and the first CSI depends on an output of the first operation.
[0547] As an embodiment, the generation of the first CSI is training-based or AI-based and includes: the first node performs a first operation, the input of the first operation depends on the measurement based on the first resource set; the first CSI depends on the output of the first operation.
[0548] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the input of the first operation depends on the channel measurement obtained based on the first resource set.
[0549] As an embodiment, the first resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the input of the first operation depends on the interference measurement obtained based on the first resource set.
[0550] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the input of the first operation depends on the channel measurement and interference measurement obtained based on the first resource set.
[0551] As an embodiment, the input of the first operation depends on the measurement based on the first resource set, including: the measurement based on the first resource set is used to generate the input of the first operation.
[0552] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the channel measurement obtained based on the first resource set is used to generate the input of the first operation.
[0553] As an embodiment, the first resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the interference measurement obtained based on the first resource set is used to generate the input of the first operation.
[0554] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input of the first operation depends on the measurement based on the first resource set, including: the channel measurement and interference measurement obtained based on the first resource set are used to generate the input of the first operation.
[0555] As an embodiment, the channel measurement obtained based on the first resource set refers to: the channel measurement obtained based on at least one reference signal transmitted in the first resource set.
[0556] As an embodiment, the channel measurement obtained based on the first resource set refers to: the channel measurement obtained in the first resource set.
[0557] As an embodiment, the interference measurement obtained based on the first resource set refers to: interference measurement obtained based on at least one reference signal transmitted in the first resource set.
[0558] As an embodiment, the interference measurement obtained based on the first resource set refers to: interference measurement obtained in the first resource set.
[0559] As an embodiment, the channel measurement obtained based on the first resource set includes a channel matrix (channelmatrix).
[0560] As an embodiment, the channel measurement obtained based on the first resource set includes a raw channel matrix.
[0561] As an embodiment, the channel measurement obtained based on the first resource set includes an eigenvector.
[0562] As an embodiment, the channel measurement obtained based on the first resource set includes an eigenvector and an eigenvalue.
[0563] As an embodiment, the channel measurement obtained based on the first resource set includes one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss and RSRP.
[0564] As an embodiment, the interference measurement obtained based on the first resource set includes at least one of interference power, interference variance or interference power spectral density.
[0565] As an embodiment, the interference measurement obtained based on the first resource set includes an interference channel matrix.
[0566] As an embodiment, the interference measurement obtained based on the first resource set includes an interference covariance matrix.
[0567] As an embodiment, the interference measurement obtained based on the first resource set includes an interference characteristic vector.
[0568] As an embodiment, the interference measurement obtained based on the first resource set includes an interference characteristic vector and an interference characteristic value.
[0569] As an embodiment, the interference measurement obtained based on the first resource set includes an interference beam.
[0570] Generally speaking, how the first node determines the input of the first operation based on the measurement of the first resource set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:
[0571] As an embodiment, the input of the first operation includes channel measurements obtained based on the first set of resources.
[0572] As an embodiment, the input of the first operation includes channel measurement and interference measurement obtained based on the first resource set.
[0573] As an embodiment, the input of the first operation includes interference measurement obtained based on the first set of resources.
[0574] As an embodiment, the interference measurement includes: one or more of interference power, interference variance or interference power spectrum density.
[0575] As an embodiment, the input of the first operation includes a channel impulse response obtained based on measurement of the first set of resources.
[0576] As an embodiment, the input of the first operation includes a channel matrix obtained based on measurement of the first set of resources.
[0577] As an embodiment, the input of the first operation includes eigenvectors and eigenvalues of a channel matrix obtained based on measurements of the first set of resources.
[0578] As an embodiment, the input of the first operation includes a matrix or a vector obtained by preprocessing a channel matrix obtained based on measurements of the first resource set.
[0579] As an embodiment, the channel matrix is in spatial-frequency domain.
[0580] As an embodiment, the channel matrix is in angular-delay domain projection.
[0581] As an embodiment, the preprocessing includes one or more of quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, transformation from spatial domain to angular domain, transformation from angular domain to spatial domain, transformation from frequency domain to time domain and transformation from time domain to frequency domain, truncation, padding, mapping, and labeling.
[0582] As an embodiment, the preprocessing includes one or more of matrix decomposition, matrix transformation or projection.
[0583] As an embodiment, the preprocessing includes quantization.
[0584] As an embodiment, the preprocessing includes DFT.
[0585] As an embodiment, the preprocessing includes one or more of quantization, transformation from spatial domain to angular domain, transformation from angular domain to spatial domain, transformation from frequency domain to time domain, and transformation from time domain to frequency domain.
[0586] As an embodiment, the preprocessing includes truncation and / or padding.
[0587] As an embodiment, the preprocessing includes mapping.
[0588] As an embodiment, the preprocessing includes mapping to vectors.
[0589] As an embodiment, the preprocessing includes labeling.
[0590] As an embodiment, the label refers to marking with a label.
[0591] As an embodiment, the first CSI includes the output of the first operation.
[0592] As an embodiment, the first CSI includes a post-processed output of the first operation.
[0593] As an embodiment, the first CSI includes a truncated and / or quantized output of the first operation.
[0594] As an embodiment, the output of the first operation is used to generate the first CSI.
[0595] As an embodiment, the output of the first operation is used to generate the first CSI after post-processing.
[0596] As an embodiment, the output of the first operation is truncated and / or quantized and then used to generate the first CSI.
[0597] As an embodiment, part or all of the output of the first operation is used to generate the first CSI after post-processing.
[0598] As an embodiment, part or all of the output of the first operation is truncated and / or quantized and then used to generate the first CSI.
[0599] As an embodiment, the first CSI indicates at least one resource in the first resource set.
[0600] As an embodiment, the first resource set includes at least one RS resource; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one RS resource in the first resource set.
[0601] As an embodiment, the first resource set includes at least one beam; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one beam in the first resource set.
[0602] As an embodiment, the first resource set includes one or more beams; the first CSI indicates at least one resource in the first resource set, including: the first CSI indicates at least one beam in the first resource set.
[0603] As an embodiment, the first resource set includes one or more vectors; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one vector in the first resource set.
[0604] As an embodiment, the first resource set includes one or more matrices; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one matrix in the first resource set.
[0605] As an embodiment, the first resource set includes one or more DFT vectors; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one DFT vector in the first resource set.
[0606] As an embodiment, the first resource set includes one or more codebooks; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one codebook in the first resource set.
[0607] As an embodiment, the first resource set includes one or more antenna ports; the first CSI indicates at least one resource in the first resource set, including: the first CSI indicates at least one antenna port in the first resource set.
[0608] As an embodiment, the first operation performs spatial beam prediction for the second resource set based on the measurement of the first resource set.
[0609] As an embodiment, the benefits of the above method include reducing RS overhead and reducing feedback delay.
[0610] As an embodiment, the first operation predicts channel information for the second resource set based on the measurement of the first resource set.
[0611] As an embodiment, the channel information in the present application includes beam information.
[0612] As an embodiment, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.
[0613] As an embodiment, the benefits of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.
[0614] As an embodiment, the first operation performs temporal channel information prediction for the second resource set based on historical measurements of the first resource set.
[0615] As an embodiment, the benefits of the above method include reducing the channel information feedback delay and improving the real-time performance of channel information acquisition.
[0616] As an embodiment, the input of the first operation also includes the second resource set.
[0617] Embodiment 13
[0618] Embodiment 13 illustrates a schematic diagram of a first operation according to an embodiment of the present application; Fig.13 In Example 13, the first operation is based on training or AI.
[0619] As an embodiment, the measurement based on the first resource set includes channel information before compression, and the output of the first operation includes channel information after compression.
[0620] As an embodiment, the above method has the following benefits: it is suitable for channel compression and saves feedback overhead.
[0621] As an embodiment, the measurement based on the first resource set includes channel information obtained by measurement, and the output of the first operation includes predicted channel information.
[0622] As an embodiment, the measurement based on the first resource set includes channel information obtained by measurement, and the output of the first operation includes spatial beam prediction.
[0623] As an embodiment, the measurement based on the first resource set includes channel information obtained by measurement, and the output of the first operation includes spatial beam prediction for the second resource set.
[0624] As an embodiment, the resources in the second resource set include at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.
[0625] As an embodiment, the benefits of the above method include: reducing RS overhead and reducing feedback delay.
[0626] As an embodiment, the channel information in the present application includes beam information.
[0627] As an embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes predicted channel information.
[0628] As an embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes predicted channel information.
[0629] As an embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction.
[0630] As an embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction for the second resource set.
[0631] As an embodiment, the benefits of the above method include: reducing the channel information feedback delay and improving the real-time performance of channel information acquisition.
[0632] As an embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes channel information after a period of time.
[0633] As an embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes future channel information.
[0634] As an embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes future channel information.
[0635] As an embodiment, the benefits of the above method include: improving CSI accuracy and real-time performance, and reducing RS overhead.
[0636] As an embodiment, the measurement based on the first resource set includes incomplete channel information, and the output of the first operation includes complete channel information.
[0637] As an embodiment, the benefits of the above method include: reducing RS overhead and improving the accuracy and completeness of CSI.
[0638] As an embodiment, the measurement based on the first resource set includes channel information of P1 antenna ports, and the output of the first operation includes channel information of P2 antenna ports, and the P1 and the P2 are positive integers greater than 1 respectively, and the P1 is less than the P2.
[0639] As a sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.
[0640] As a sub-embodiment of the above embodiment, the P2 antenna ports belong to the second resource set.
[0641] As an embodiment, the measurement based on the first resource set includes channel information of first frequency domain resources, and the output of the first operation includes channel information of second frequency domain resources, and the second frequency domain resources include frequency domain resources that do not belong to the first frequency domain resources.
[0642] As a sub-embodiment of the above embodiment, the first frequency domain resources are a proper subset of the second frequency domain resources.
[0643] As an embodiment, the first operation is based on training.
[0644] As an embodiment, the first operation is obtained through training.
[0645] As an embodiment, the training for obtaining the first operation is performed by the first node.
[0646] As an embodiment, the training for obtaining the first operation is performed by a sender of the first configuration information block.
[0647] As an embodiment, the training for obtaining the first operation is performed by a sender of the first resource set.
[0648] As an embodiment, the training for obtaining the first operation is performed by an MDA function (Management Data Analytics Function).
[0649] As an embodiment, the training for obtaining the first operation is performed by a MDAS (Management Data Analytics Service) producer.
[0650] As an embodiment, the training for obtaining the first operation is performed by NWDAF (Network Data Analytics Function).
[0651] As an embodiment, the training for obtaining the first operation is performed by a core network.
[0652] As an embodiment, the training for obtaining the first operation is performed by an AI training producer.
[0653] As an embodiment, a performer of training for obtaining the first operation is different from a sender of the first configuration information block.
[0654] As an embodiment, a performer of training for obtaining the first operation is different from a sender of the first set of resources.
[0655] As an embodiment, the first operation includes inference.
[0656] As an embodiment, the first operation includes AI (Artificial Intelligence).
[0657] As an embodiment, the first operation is inference.
[0658] As an embodiment, the first operation is AI inference.
[0659] As an embodiment, the first operation includes AI inference for CSI.
[0660] As an embodiment, the first operation includes AI inference for beam prediction.
[0661] As an embodiment, the benefits of the above method include: improving the performance of CSI (including beam) measurement and reporting, including more accurate CSI, lower reference signal overhead and reporting overhead, thereby improving the overall system performance.
[0662] As an embodiment, the first operation is AI inference for CSI.
[0663] As an embodiment, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.
[0664] As an embodiment, the CSI prediction includes beam prediction.
[0665] As an embodiment, the benefits of the above method include: more accurate and complete CSI, lower reference signal overhead, and improved real-time performance of CSI.
[0666] As an embodiment, the first operation is based on an AI model.
[0667] As an embodiment, the first operation includes an AI entity.
[0668] As an embodiment, the first operation includes AI inferring an entity.
[0669] As an embodiment, the first operation includes an AI entity for inference.
[0670] As an embodiment, the first operation includes a portion of an AI entity.
[0671] As an embodiment, the first operation includes a part of an AI entity for inference.
[0672] As an embodiment, the first operation includes an AI entity for CSI.
[0673] As an embodiment, the first operation includes an AI entity for beam prediction.
[0674] As an embodiment, the first operation includes an AI entity for CSI prediction, estimation or compression.
[0675] As an embodiment, the first operation includes inference of an AI entity for CSI.
[0676] As an embodiment, the first operation includes inference of an AI entity for CSI prediction, estimation, or compression.
[0677] As an embodiment, the first operation is performed by an AI entity.
[0678] As an embodiment, the first operation is performed by an AI entity deployed on the first node.
[0679] As an embodiment, the first operation is performed by an AI function.
[0680] As an embodiment, the first operation is performed by an AI function deployed on the first node.
[0681] As an embodiment, the AI function includes an AI inference function.
[0682] As an embodiment, the AI function includes an AI training function.
[0683] As an embodiment, the AI function includes an AI management function.
[0684] As an embodiment, the first operation is performed by the physical layer of the first node.
[0685] As an embodiment, the first operation is performed by a higher layer of the first node.
[0686] As an embodiment, the first operation requires deployment.
[0687] As an embodiment, the first operation is obtained by loading.
[0688] As an embodiment, the first operation is obtained by loading from a serving cell of the first node.
[0689] As an embodiment, the first operation is obtained from maintaining base station loading of a serving cell of the first node.
[0690] As an embodiment, the first operation is obtained by loading from the core network.
[0691] As an embodiment, the first operation is based on artificial intelligence or machine learning.
[0692] As an embodiment, the first operation is based on a neural network.
[0693] As an embodiment, the first operation includes neural network-based CSI compression.
[0694] As an embodiment, the first operation includes an encoder for CSI compression based on a neural network.
[0695] As an embodiment, the first operation includes CNN-based CSI compression.
[0696] As an embodiment, the first operation includes a CNN-based CSI compression encoder.
[0697] As an embodiment, the output of the first operation is non-codebook based.
[0698] As an embodiment, the output of the first operation does not belong to the CSI defined in 3GPP Rel-18, nor does it belong to the CSI defined in versions before 3GPP Rel-18.
[0699] As an embodiment, the output of the first operation is based on artificial intelligence or machine learning.
[0700] As an embodiment, the output of the first operation is based on a neural network.
[0701] As an embodiment, the output of the first operation is based on CNN.
[0702] As an embodiment, the output of the first operation includes CSI.
[0703] As an embodiment, the output of the first operation includes predicted beam information.
[0704] As an embodiment, the output of the first operation includes beam indication and RSRP.
[0705] As an embodiment, the output of the first operation includes RS resource indication and RSRP.
[0706] As an embodiment, the output of the first operation includes resource indication and RSRP.
[0707] As an embodiment, the output of the first operation includes one or more of a beam indication, a CRI (CSI-RS Resource Indicator, channel state information reference signal resource indicator), a SS / PBCH block resource indicator (SS / PBCH Block Resource indicator, SSBRI), or a RSRP (reference signal received power, reference signal received power).
[0708] As an embodiment, the output of the first operation includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index and TDCP.
[0709] As an embodiment, the output of the first operation includes a channel impulse response.
[0710] As an embodiment, the output of the first operation includes small-scale characteristics.
[0711] As an embodiment, the output of the first operation includes one or more of delay spread, Doppler spread, Doppler shift, average delay and average gain.
[0712] As an embodiment, the output of the first operation includes a channel matrix.
[0713] As an embodiment, the output of the first operation includes a first CSI.
[0714] As an embodiment, the first CSI includes predicted or estimated CSI.
[0715] As an embodiment, the first CSI includes predicted beam information.
[0716] As an embodiment, in the above method, the first operation is used for beam prediction, CSI prediction or estimation to reduce RS overhead and / or improve CSI accuracy / completeness.
[0717] As an embodiment, the first node is a consumer.
[0718] As an embodiment, the first node is a consumer of an AI function.
[0719] As an embodiment, the first node is a user of AI inference.
[0720] As an embodiment, the first node is an AI trained user.
[0721] As an embodiment, the first node is a MnS (Management Service) user.
[0722] As an embodiment, the first node is a producer of AI inference.
[0723] As an embodiment, the first node is a producer of AI training.
[0724] As an embodiment, the first operation includes preprocessing.
[0725] As an embodiment, the preprocessing includes DFT (Discrete Fourier Transform).
[0726] As an embodiment, the preprocessing includes one or more of matrix decomposition, matrix transformation and projection.
[0727] As an embodiment, the preprocessing includes one or more of quantization, transformation from spatial domain to angular domain, transformation from angular domain to spatial domain, transformation from frequency domain to time domain, and transformation from time domain to frequency domain.
[0728] As an embodiment, the preprocessing includes truncation and / or padding.
[0729] As an embodiment, the preprocessing includes mapping.
[0730] As an embodiment, the preprocessing includes mapping to vectors.
[0731] As an embodiment, the preprocessing includes labeling.
[0732] As an embodiment, the label refers to marking with a label.
[0733] As an embodiment, the first operation includes post-processing.
[0734] As an embodiment, the post-processing includes DFT.
[0735] As an embodiment, the post-processing includes quantization.
[0736] As an embodiment, the post-processing includes one or more of a transformation from the angle domain to the spatial domain, a transformation from the spatial domain to the angle domain, a transformation from the time domain to the frequency domain, and a transformation from the frequency domain to the time domain.
[0737] As an embodiment, the post-processing includes truncation and / or padding.
[0738] As an embodiment, the first operation includes one or more of convolution, pooling, cascading and activation.
[0739] As an embodiment, the first operation includes a fully connected layer.
[0740] As an embodiment, the first operation includes a pooling layer.
[0741] As an embodiment, the first operation includes at least one convolutional layer.
[0742] As an embodiment, the first operation includes at least one encoding layer.
[0743] As an embodiment, a coding layer includes at least one convolutional layer and one pooling layer.
[0744] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into an output.
[0745] As an embodiment, part or all of the convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function and number of feature maps of the first operation are obtained through training.
[0746] As an embodiment, part or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function and parameters of the activation function of the first operation are obtained through training.
[0747] Embodiment 14
[0748] Embodiment 14 illustrates a schematic diagram of a first node deploying a first operation according to an embodiment of the present application; Fig.14 In Embodiment 14, the first processor deploys the first operation.
[0749] As an embodiment, the deployment includes obtaining the first operation.
[0750] As an embodiment, the deploying includes obtaining an AI entity.
[0751] As an embodiment, the deploying includes obtaining an AI entity that performs the first operation.
[0752] As an embodiment, the deploying includes obtaining an AI entity including an AI function for performing the first operation.
[0753] As an embodiment, the deploying includes loading the first operation.
[0754] As an embodiment, the deploying includes making a request to load the first operation.
[0755] As an example, Fig.15 The request in is a request made by the first node to load the first operation.
[0756] As an example, Fig.15 The response in is a response to the request for loading the first operation made by the first node.
[0757] As an embodiment, the first node is connected Fig.15 The first operation is obtained in response to the above.
[0758] As an embodiment, the first operation is obtained by loading from a serving cell of the first node.
[0759] As an embodiment, the first operation is obtained by loading from a base station maintaining a service cell of the first node.
[0760] As an embodiment, the first operation is obtained by loading from the core network.
[0761] As an embodiment, the first operation is obtained by loading from a first producer.
[0762] As an embodiment, the first producer attaches Fig.15 The response in provides the first operation to the first node.
[0763] As an embodiment, the deployment is performed by an AI function.
[0764] As an embodiment, the deployment is completed by an AI function deployed on the first node.
[0765] As an embodiment, the deployment is performed by an AI deployment function.
[0766] As an embodiment, the deployment is completed by an AI deployment function deployed on the first node.
[0767] As an embodiment, the deployment is performed by AI inference function.
[0768] As an embodiment, the deployment is accomplished by an AI inference function deployed on the first node.
[0769] As an embodiment, the deployment is performed by an AI entity.
[0770] As an embodiment, the deployment is completed by an AI entity deployed on the first node.
[0771] As an embodiment, the deployment is completed by an AI entity having a deployment function.
[0772] As an embodiment, the deployment is completed by an AI entity with deployment function deployed on the first node.
[0773] As an embodiment, the deployment is performed by an AI entity having an inference function.
[0774] As an embodiment, the deployment is completed by an AI entity with inference function deployed on the first node.
[0775] As an embodiment, the deploying includes obtaining the first operation from a first producer.
[0776] As an embodiment, the deploying includes making a request to a first producer to load the first operation.
[0777] As an embodiment, the deploying includes loading the first operation from a first producer.
[0778] As an embodiment, the first producer generates and provides an AL entity.
[0779] As an embodiment, the first producer generates and provides AL functionality.
[0780] As an embodiment, the first producer is the producer of the first operation.
[0781] As an embodiment, the first producer includes an AL entity producer.
[0782] As an embodiment, the first producer includes an AL function producer.
[0783] As an embodiment, the first producer includes an AL deployment producer.
[0784] As an embodiment, the first producer includes an AL loading producer.
[0785] As an embodiment, the first producer includes an AL training producer.
[0786] As an embodiment, the first producer includes an AL inference producer.
[0787] As an embodiment, the first producer includes a producer of deployment of an AL entity.
[0788] As an embodiment, the first producer includes a loaded producer of an AL entity.
[0789] As an embodiment, the first producer includes a MnS (Management Service) producer.
[0790] As an embodiment, the sender of the first configuration information block is the first producer.
[0791] As an embodiment, the sender of the first configuration information block is different from the first producer.
[0792] As an embodiment, the training for obtaining the first operation is performed by the first producer.
[0793] As an embodiment, a performer of the training for obtaining the first operation is different from the first producer.
[0794] As an embodiment, the AI includes ML (Machine Learning).
[0795] Embodiment 15
[0796] Embodiment 15 illustrates a schematic diagram of a second resource set according to an embodiment of the present application; Fig.15 In embodiment 15, the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[0797] As an embodiment, the first node is not required to measure the second set of resources.
[0798] As an embodiment, the first resource set is used for measurement, and the second resource set is used for prediction.
[0799] As an embodiment, only the first resource set among the first resource set and the second resource set is used for measurement.
[0800] As an embodiment, that only the first resource set among the first resource set and the second resource set is used for measurement includes: that only the first resource set among the first resource set and the second resource set is used for measurement by the first node.
[0801] As an embodiment, the fact that only the first resource set among the first resource set and the second resource set is used for measurement includes: the first resource set is used by the first node for measurement, and the first node is not required to measure the second resource set.
[0802] As an embodiment, the first operation performs spatial beam prediction for the second resource set based on the measurement of the first resource set.
[0803] As an embodiment, the benefits of the above method include: reducing RS overhead and reducing feedback delay.
[0804] As an embodiment, the first operation predicts channel information for the second resource set based on the measurement of the first resource set.
[0805] As an embodiment, the channel information in the present application includes beam information.
[0806] As an embodiment, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.
[0807] As an embodiment, the benefits of the above method include: reducing beam feedback delay and improving the real-time performance of beam acquisition.
[0808] As an embodiment, the first operation performs temporal channel information prediction for the second resource set based on historical measurements of the first resource set.
[0809] As an embodiment, the benefits of the above method include: reducing the channel information feedback delay and improving the real-time performance of channel information acquisition.
[0810] As an embodiment, generation of the first CSI is based on training or AI, and the first node is not required to measure the second set of resources.
[0811] As an embodiment, generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.
[0812] As an embodiment, generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.
[0813] As an embodiment, generation of the first CSI is based on training or AI, and only the first resource set of the first resource set and the second resource set is used for measurement.
[0814] As an embodiment, that only the first resource set among the first resource set and the second resource set is used for measurement includes: that only the first resource set among the first resource set and the second resource set is used for measurement by the first node.
[0815] As an embodiment, the fact that only the first resource set among the first resource set and the second resource set is used for measurement includes: the first resource set is used by the first node for measurement, and the first node is not required to measure part or all of the resources in the second resource set.
[0816] As an embodiment, the first node is not required to measure the second resource set, including: the first node does not measure part or all of the resources in the second resource set.
[0817] As an embodiment, the first node is not required to measure the second resource set including: whether the first node measures part or all of the resources in the second resource set is implementation-related or independently determined by the first node.
[0818] As an embodiment, the second resource set includes the first resource set and resources outside the first resource set.
[0819] As an embodiment, the first resource set includes one or more RS resources, the second resource set includes one or more RS resources, and the second resource set includes the first resource set and RS resources outside the first resource set.
[0820] As an embodiment, the number of resources included in the first resource set is less than the number of resources included in the second resource set.
[0821] As an embodiment, the number of RS resources included in the first resource set is less than the number of RS resources included in the second resource set.
[0822] As an embodiment, the second resource set includes resources that do not belong to the first resource set.
[0823] As an embodiment, the second resource set includes antenna ports that do not belong to the first resource set.
[0824] As an embodiment, the second resource set includes resources that do not belong to the first resource set, and the resources in the second resource set include at least one of antenna ports, TCI status, QCL information, frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.
[0825] As an embodiment, the second resource set includes at least one RS resource.
[0826] As an embodiment, the second resource set includes at least one beam.
[0827] As an embodiment, the second resource set includes one or more beams.
[0828] As an embodiment, the second resource set includes one or more vectors.
[0829] As an embodiment, the second resource set includes one or more matrices.
[0830] As an embodiment, the second resource set includes one or more codebooks.
[0831] As an embodiment, the second resource set includes one or more DFT vectors.
[0832] As an embodiment, the second resource set includes one or more DFT codebooks.
[0833] As an embodiment, the second resource set includes one or more antenna ports.
[0834] As an embodiment, the second resource set includes at least one training data set.
[0835] As an embodiment, the second resource set is used to train an AI model.
[0836] As an embodiment, the second resource set includes one or more RS (Reference Signal) resource sets, and one RS resource set includes one or more RS resources.
[0837] As an embodiment, the second resource set includes at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.
[0838] As an embodiment, the second resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources.
[0839] As an embodiment, the second resource set includes at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources.
[0840] As an embodiment, the second resource set includes at least one RS resource set for interference measurement; an RS resource set for interference measurement includes one or more RS resources.
[0841] As an embodiment, the second resource set includes one or more RS resources.
[0842] As an embodiment, the second resource set includes one or more downlink RS resources.
[0843] As an embodiment, the second resource set includes one or more RS resources, and any RS resource in the second resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.
[0844] As an embodiment, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the second resource set.
[0845] As an embodiment, the first configuration information block includes at least one resource configuration, and the at least one resource configuration indicates the second resource set.
[0846] As an embodiment, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.
[0847] As an embodiment, the first configuration information block includes at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.
[0848] As an embodiment, the first configuration information block indicates a resource configuration, and the one resource configuration indicates the first resource set and the second resource set.
[0849] As an embodiment, the first configuration information block indicates two resource configurations, and the two resource configurations respectively indicate the first resource set and the second resource set.
[0850] As an embodiment, the first configuration information block indicates configuration information of the second resource set.
[0851] As an embodiment, the first configuration information block indicates an identifier of the second resource set.
[0852] As an embodiment, the first configuration information block is used to indicate the second resource set from a reference resource set.
[0853] As an embodiment, the first configuration information block indicates a first identifier, and the second resource set depends on the first identifier.
[0854] As an embodiment, the second resource set being dependent on the first identifier includes: the first identifier is used to identify the second resource set.
[0855] As an embodiment, the second resource set depends on the first identifier, including: the first identifier is used to identify a reference resource set, and the reference resource set includes the second resource set.
[0856] As an embodiment, the second resource set depends on the first identifier, including: the first identifier is used to identify a reference resource set, the reference resource set includes the second resource set, and the first configuration information block is used to indicate the second resource set from the reference resource set.
[0857] As an embodiment, the information outside the first configuration information block.
[0858] As an embodiment, the information outside the first configuration information block indicating the second resource set includes higher-layer parameters.
[0859] As an embodiment, the information outside the first configuration information block indicating the second resource set includes RRC parameters.
[0860] As an embodiment, the information outside the first configuration information block indicating the second resource set includes part or all of a field of an RRC IE.
[0861] As an embodiment, the information outside the first configuration information block indicating the second resource set includes MAC CE.
[0862] As an embodiment, the information outside the first configuration information block indicating the second resource set includes DCI (downlink control information).
[0863] The generation of the first CSI is based on training or AI
[0864] As an embodiment, the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[0865] As an embodiment, the generation method of the first CSI is training-based or AI-based, the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[0866] As an embodiment, whether the resources indicated by the first CSI belong to the first resource set depends on whether the generation method of the first CSI is training-based or AI-based; when the generation method of the first CSI is training-based or AI-based, the resources indicated by the first CSI belong to a second resource set, and the second resource set includes resources that do not belong to the first resource set; when the generation method of the first CSI is not training-based or AI-based, the resources indicated by the first CSI belong to the first resource set.
[0867] As an embodiment, whether the RS resources indicated by the first CSI belong to the first resource set depends on whether the generation method of the first CSI is training-based or AI-based; when the generation method of the first CSI is training-based or AI-based, the RS resources indicated by the first CSI belong to a second resource set, and the second resource set includes RS resources that do not belong to the first resource set; only when the generation method of the first CSI is not training-based or AI-based, the RS resources indicated by the first CSI belong to the first resource set.
[0868] As an embodiment, the input of the first operation also includes the second resource set.
[0869] As an embodiment, the first CSI indicates at least one resource in the second resource set.
[0870] As an embodiment, the second resource set includes at least one RS resource; the first CSI indicates at least one resource in the second resource set includes: the first CSI indicates at least one RS resource in the second resource set.
[0871] As an embodiment, the second resource set includes at least one beam; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one beam in the second resource set.
[0872] As an embodiment, the second resource set includes one or more beams; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one beam in the second resource set.
[0873] As an embodiment, the second resource set includes one or more vectors; the first CSI indicating at least one resource in the second resource set includes: the first CSI indicating at least one vector in the second resource set.
[0874] As an embodiment, the second resource set includes one or more matrices; the first CSI indicating at least one resource in the second resource set includes: the first CSI indicating at least one matrix in the second resource set.
[0875] As an embodiment, the second resource set includes one or more DFT vectors; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one DFT vector in the second resource set.
[0876] As an embodiment, the second resource set includes one or more codebooks; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one codebook in the second resource set.
[0877] As an embodiment, the second resource set includes one or more antenna ports; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one antenna port in the second resource set.
[0878] Example 16
[0879] Embodiment 16 illustrates a schematic diagram of receiving a reference signal in a first resource set according to an embodiment of the present application; Fig.16 In embodiment 16, the first receiver receives a reference signal in the first resource set.
[0880] As an embodiment, a reference signal is received in each resource in the first resource set.
[0881] As an embodiment, the resources in the first resource set are CSI-RS resources, and CSI-RS is received in each CSI-RS resource in the first resource set.
[0882] As an embodiment, the resources in the first resource set are SSB resources, and SSB is received in each SSB resource in the first resource set.
[0883] As an embodiment, a reference signal is received in each transmission opportunity of any resource in the first resource set.
[0884] As an embodiment, the first CSI is triggered by the second DCI.
[0885] As an embodiment, the second DCI includes a CSI request field, and the CSI request field in the second DCI indicates the first configuration information block, and the first configuration information block is used to configure the first CSI.
[0886] As an embodiment, the second DCI includes a CSI request field, and the CSI request field in the second DCI indicates the first resource set.
[0887] As an embodiment, the second DCI is used to trigger the first resource set.
[0888] As an embodiment, the second DCI is used to trigger the first resource set, including: the second DCI includes a CSI request field, the CSI request field in the second DCI indicates a CSI trigger state, and the first resource set is associated with the CSI trigger state.
[0889] Embodiment 17
[0890] Embodiment 17 illustrates a schematic diagram of a first operation according to an embodiment of the present application; Fig.17 In Example 17, the first operation includes K1 sub-operations, and K1 is a positive integer not greater than 1. Fig.17 In the example, the K1 sub-operations are respectively represented as sub-operation #0, ..., sub-operation #(K1-1).
[0891] As an embodiment, each of the K1 sub-operations is based on training.
[0892] As an embodiment, at least one of the K1 sub-operations is based on training.
[0893] As an embodiment, each training-based sub-operation in the K1 sub-operations is based on the same executor of the training.
[0894] As an embodiment, two of the K1 sub-operations are based on different executors of the training.
[0895] As an embodiment, at least one sub-operation among the K1 sub-operations needs to be deployed.
[0896] As an embodiment, at least one of the K1 sub-operations needs to be loaded.
[0897] As an embodiment, all the sub-operations that need to be loaded in the K1 sub-operations are loaded from the same producer.
[0898] As an embodiment, two of the K1 sub-operations that need to be loaded are loaded from different producers.
[0899] As an embodiment, at least one of the K1 sub-operations is not based on training.
[0900] As an embodiment, at least one of the K1 sub-operations is based on a codebook for precoding defined in 3GPP R18 or a version prior to 3GPP R18.
[0901] As an embodiment, one or more of the K1 sub-operations are AI-based.
[0902] As an embodiment, one or more of the K1 sub-operations include inference.
[0903] As an embodiment, one or more of the K1 sub-operations include AI inference.
[0904] As an embodiment, one or more of the K1 sub-operations include AI inference for CSI.
[0905] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).
[0906] As an embodiment, one or more of the K1 sub-operations include preprocessing.
[0907] As an embodiment, one or more of the K1 sub-operations include post-processing.
[0908] As an embodiment, there are two sub-operations in the K1 sub-operations that are serial, as shown in the attached Fig.17 All sub-operations in (a), sub-operation #2 to sub-operation #(K1-1) in 17(b), and sub-operation #0 to sub-operation #(K1-4) in 17(c).
[0909] As an embodiment, two sub-operations are serial, which means that the output of one of the two sub-operations is used as the input of the other sub-operation of the two sub-operations.
[0910] As an embodiment, there are two sub-operations in the K1 sub-operations that are parallel, as shown in the attached Fig.17 (b) Sub-operation #0 and sub-operation #1, attached Fig.17 Sub-operation #(K1-3) and sub-operation #(K1-2) in (c).
[0911] As an embodiment, two sub-operations are parallel, which means that the outputs of the two sub-operations are commonly used as the input of another sub-operation.
[0912] As an embodiment, the K1 sub-operations include one or more of convolution, pooling, cascading or activation.
[0913] As an embodiment, there is a sub-operation among the K1 sub-operations including a fully connected layer.
[0914] As an embodiment, there is a sub-operation among the K1 sub-operations including a pooling layer.
[0915] As an embodiment, there is a sub-operation among the K1 sub-operations including at least one convolutional layer.
[0916] As an embodiment, there is a sub-operation among the K1 sub-operations that includes at least one encoding layer.
[0917] As an embodiment, there are two sub-operations among the K1 sub-operations, each of which includes a fully connected layer and at least one encoding layer.
[0918] As an embodiment, a coding layer includes at least one convolutional layer and one pooling layer.
[0919] Embodiment 18
[0920] Embodiment 18 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.18 Attached Fig.18 (a) comprising a third processor, a fourth processor and a fifth processor, Fig.18 (b) includes a third processor, a fourth processor, a fifth processor and a sixth processor.
[0921] In Example 18(a), the third processor sends a first data set to the fourth processor and a second data set to the fifth processor; the fourth processor generates a target first-category parameter group based on the first data set, and the fourth processor sends the generated target first-category parameter group to the fifth processor; the fifth processor processes the second data set using the target first-category parameter group to obtain a first-category output. Fig.18 (a),The first type of feedback is optional.
[0922] In Example 18(b), the third processor sends a first data set to the fourth processor and a second data set to the fifth processor; the fourth processor generates a target first-category parameter group based on the first data set, and the fourth processor sends the generated target first-category parameter group to the fifth processor; the fifth processor processes the second data set using the target first-category parameter group to obtain a first-category output, and the fifth processor sends the first-category output to the sixth processor. Fig.18 (b), the first type of feedback and the second type of feedback are optional.
[0923] As an example, Fig.18 In (a), the fifth processor sends the first type of output to the second node in the present application.
[0924] As an example, Fig.18 (a) A single-side AI model is used for beam prediction or channel information prediction, and the fifth processor performs the first operation, where the first operation is used for beam prediction or channel information prediction.
[0925] As an embodiment, the AI includes ML (Machine Learning) inference.
[0926] As an embodiment, the fifth processor performs the first operation.
[0927] As an embodiment, the fifth processor sends the first type of feedback to the fourth processor, and the first type of feedback is used to trigger recalculation or update of the target first type parameter group.
[0928] As an embodiment, the sixth processor sends a second type of feedback to the third processor, 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 sending of the second data set.
[0929] As an embodiment, the third processor generates the first data set and the second data set based on measurements of a first type of wireless signal, where the first type of wireless signal includes a downlink RS.
[0930] As an embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.
[0931] As an embodiment, the first CSI belongs to the first category of output.
[0932] As an embodiment, the second data set includes the input of the first operation.
[0933] As an embodiment, the second data set includes information obtained based on the first configuration and the M1 configurations.
[0934] As an embodiment, the first data set includes training data (Training Data).
[0935] As an embodiment, the fourth processor is a producer of the first operation.
[0936] As an embodiment, the fourth processor includes an AI training producer.
[0937] As an embodiment, the fourth processor includes an AI training function.
[0938] As an embodiment, the fourth processor is used for model training, and the trained model is described by the target first type parameter group.
[0939] As an embodiment, the fourth processor belongs to the first node.
[0940] The above embodiment avoids transferring the first data set to the second node.
[0941] As an embodiment, the fourth processor belongs to the second node.
[0942] The above embodiments support joint training and optimize system performance.
[0943] As an embodiment, the fourth processor belongs to the core network.
[0944] The above embodiments support joint training of the entire network, further optimizing system performance.
[0945] As an embodiment, the second data set includes inference data.
[0946] As an embodiment, the fifth processor includes an AI inference producer.
[0947] As an embodiment, the fifth processor includes an AI inference function.
[0948] As an embodiment, the fifth processor belongs to the first node.
[0949] As an embodiment, the fifth processing machine constructs a model according to the target first-category parameter group, and then inputs the second data set into the constructed model to obtain the first-category output.
[0950] As an embodiment, the first operation is described by the target first type parameter group.
[0951] As an embodiment, the target first-category parameter group is used to construct the first operation.
[0952] As an embodiment, the fifth processing machine generates a restored data set according to the first type of output, and an error between the restored data set and the second data set is used to generate the first type of feedback.
[0953] 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 fourth processor will recalculate the target first type parameter group.
[0954] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.
[0955] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.
[0956] As an embodiment, the target first-category parameter group includes: one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or parameters of an activation function.
[0957] Embodiment 19
[0958] Embodiment 19 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.19 Attached Fig.19Including a third operation, a fourth operation, a fifth operation, a sixth operation and a seventh operation. In Example 19, the third operation and the fourth operation belong to the first stage, the fifth operation belongs to the second stage, the sixth operation belongs to the third stage, and the seventh operation belongs to the fourth stage. Fig.19 In the diagram, the lines with arrows indicate the sequence of the processes.
[0959] As an embodiment, the third operation includes AI training, the fourth operation includes AI testing, the fifth operation includes AI emulation, the sixth operation includes AI entity loading, and the seventh operation includes AI inference.
[0960] As an embodiment, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an emulation phase.
[0961] As an embodiment, the first stage includes AI model training.
[0962] As an embodiment, the first stage includes AI model training and AI testing.
[0963] As an embodiment, the AI includes ML (Machine Learning) inference.
[0964] As an embodiment, the AI model training includes initial training and re-training of one or a group of AI entities.
[0965] As an embodiment, the AI model training relies on training data.
[0966] As an embodiment, the AI model training includes AI entity validation.
[0967] As an embodiment, the AI entity verification is used to evaluate the performance of the AI entity.
[0968] As an embodiment, the AI entity verification relies on verification data.
[0969] As an embodiment, if the result of the AI entity verification does not meet expectations, the AI model will be retrained.
[0970] As an embodiment, the AI testing includes testing the verified AI entity to estimate the performance of the trained AI model.
[0971] As an embodiment, if the result of the AI test meets expectations, the AI entity proceeds to the next stage; otherwise the AI model will be retrained.
[0972] As an embodiment, the AI test relies on test data.
[0973] As an embodiment, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.
[0974] As an embodiment, the AI simulation is to estimate the performance of AI entity inference in a simulation environment before using the AI entity.
[0975] As an embodiment, the second stage is optional.
[0976] As an embodiment, the third stage includes AI entity loading, and the AI entity loading is to obtain the trained AI entity to obtain the desired AI inference function.
[0977] As an embodiment, the third stage is optional.
[0978] As an example, when the training function and the inference function are co-located, the third stage is no longer needed.
[0979] As an embodiment, the fourth stage includes AI inference.
[0980] As an embodiment, the seventh operation includes the first operation.
[0981] Embodiment 20
[0982] Embodiment 20 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig. 20 As shown in the attached Fig. 20 In the embodiment, the processing device 2000 in the first node includes a first receiver 2001 and a first transmitter 2002.
[0983] As an embodiment, the first node is user equipment.
[0984] As an embodiment, the first node is a relay node device.
[0985] As an embodiment, the first receiver 2001 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Embodiment 4.
[0986] As an embodiment, the first transmitter 2002 includes at least one of {antenna 452, receiver / transmitter 454, receive processor 456, transmit processor 468, multi-antenna receive processor 458, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Example 4.
[0987] As an embodiment, the processing device 1400 in the first node includes a first processor, and the first processor includes at least one of {antenna 452, receiver / transmitter 454, receiving processor 456, transmitting processor 468, multi-antenna receiving processor 458, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467} in Example 4.
[0988] As an embodiment, the first processor includes the first transmitter 2002.
[0989] The first receiver 2001 receives a first configuration information block, where the first configuration information block indicates a first resource set, where the first resource set includes one or more RS resources; receives a first MAC CE; receives a first DCI; and receives a first signal.
[0990] The first transmitter 2002 sends a first CSI, and the first resource set is used for at least one of channel measurement or interference measurement of the first CSI.
[0991] In embodiment 20, the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[0992] As an embodiment, the quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
[0993] As an embodiment, the first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
[0994] As an embodiment, the first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
[0995] As an embodiment, N1 CSIs are sent by the first node, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,
[0996] The first CSI is a CSI with the highest priority among the N1 CSIs;
[0997] Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs;
[0998] Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
[0999] As an embodiment, N2 CSIs are sent by the first node, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
[1000] As an embodiment, the generation of the first CSI is based on training or AI.
[1001] As an embodiment, it includes:
[1002] The first processor executes a first operation, wherein an input of the first operation depends on a measurement based on the first resource set; and the first CSI depends on an output of the first operation.
[1003] As an embodiment, the first operation is training-based or AI-based.
[1004] As an embodiment, it includes:
[1005] The first processor deploys the first operation.
[1006] As an embodiment, the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[1007] As an embodiment, it includes:
[1008] The first receiver 2001 receives a reference signal in the first resource set.
[1009] As an embodiment, the first receiver 2001 receives a reference signal in the first resource set, and the first resource set includes one or more RS resources.
[1010] As an embodiment, the first operation is training-based or AI-based.
[1011] As an embodiment, the first operation requires deployment.
[1012] As an embodiment, the first operation is obtained by loading.
[1013] Embodiment 21
[1014] Embodiment 21 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.21 As shown in the attached Fig.21 In the embodiment, the processing device 2100 in the second node includes a second transmitter 2101 and a second receiver 2102.
[1015] As an embodiment, the second node is a base station device.
[1016] As an embodiment, the second node is user equipment.
[1017] As an embodiment, the second node is a relay node device.
[1018] As an embodiment, the second transmitter 2101 includes at least one of {antenna 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.
[1019] As an embodiment, the second receiver 2102 includes at least one of {antenna 420, receiver 418, receiving processor 470, multi-antenna receiving processor 472, controller / processor 475, memory 476} in Embodiment 4.
[1020] The second transmitter 2101 sends a first configuration information block, where the first configuration information block indicates a first resource set, where the first resource set includes one or more RS resources; sends a first MAC CE; sends a first DCI; and sends a first signal.
[1021] The second receiver 2102 receives a first CSI, and the first resource set is used for at least one of channel measurement or interference measurement of the first CSI.
[1022] In embodiment 21, the first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
[1023] As an embodiment, the quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
[1024] As an embodiment, the first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
[1025] As an embodiment, the first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
[1026] As an embodiment, N1 CSIs are sent by a target receiver of the first configuration information block, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,
[1027] The first CSI is a CSI with the highest priority among the N1 CSIs;
[1028] Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs;
[1029] Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
[1030] As an embodiment, N2 CSIs are sent by the target recipient of the first configuration information block, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
[1031] As an embodiment, the generation of the first CSI is based on training or AI.
[1032] As an embodiment, it includes:
[1033] The target receiver of the first configuration information block performs a first operation, wherein an input of the first operation depends on a measurement based on the first resource set; and the first CSI depends on an output of the first operation.
[1034] As an embodiment, the first operation is training-based or AI-based.
[1035] As an embodiment, it includes:
[1036] The target recipient of the first configuration information block deploys the first operation.
[1037] As an embodiment, the first CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.
[1038] As an embodiment, it includes:
[1039] The second transmitter 2101 sends a reference signal in the first resource set.
[1040] As an embodiment, the second transmitter 2101 sends a reference signal in the first resource set.
[1041] As an embodiment, the first operation is training-based or AI-based.
[1042] As an embodiment, the first operation requires deployment.
[1043] As an embodiment, the first operation is obtained by loading.
[1044] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment, transportation tools, vehicles, RSUs, wireless sensors, Internet cards, Internet of Things terminals, RFID 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 equipment in this application include but are not limited to macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNB, gNB, TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, aerial base stations, RSU (Road Side Unit), drones, test equipment, such as wireless communication equipment such as transceivers or signaling testers that simulate some functions of base stations.
[1045] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.
Claims
1. A method in a first node for wireless communication, characterized in that: include: Receiving a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receiving a first MAC CE; sending a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; receiving a first DCI; receiving a first signal; The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
2. The method in the first node according to claim 1, characterized in that: The quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
3. The method in the first node according to claim 1 or 2, characterized in that: The first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
4. The method in the first node according to claim 3, characterized in that: The first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
5. The method in the first node according to any one of claims 1 to 4, characterized in that: N1 CSIs are sent by the first node, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein, The first CSI is a CSI with the highest priority among the N1 CSIs; Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs; Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
6. The method in the first node according to any one of claims 1 to 4, characterized in that: N2 CSIs are sent by the first node, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
7. The method in the first node according to any one of claims 1 to 6, characterized in that: The generation of the first CSI is based on training or AI.
8. The method in the first node according to any one of claims 1 to 7, characterized in that: include: performing a first operation, an input of the first operation depending on a measurement based on the first set of resources; The first CSI depends on an output of the first operation.
9. The method in the first node according to any one of claims 1 to 8, characterized in that: The first operation is training-based or AI-based.
10. A terminal, characterized in that: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 9.
11. A method in a second node for wireless communication, characterized in that: include: Sending a first configuration information block, where the first configuration information block indicates a first resource set, and the first resource set includes one or more RS resources; Sending a first MAC CE; receiving a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; Sending a first DCI; Sending a first signal; The first DCI includes a target domain, the target domain includes at least one bit, the target domain includes T1 code points and T2 code points, any code point of the T1 code points does not belong to the T2 code points, the value of the target domain in the first DCI belongs to the T1 code point or the T2 code point, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-location information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-location information of the first signal depends on the first CSI.
12. The method in the second node according to claim 11, characterized in that: The quasi-co-site information of the first signal depends on the first CSI, including: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-site information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-site information of the first signal depends on the second information block.
13. The method in the second node according to claim 11 or 12, characterized in that: The first MAC CE indicates that at least one first type value is mapped to each of the T2 code points of the target domain, and the first type value is different from the TCI state identifier.
14. The method in the second node according to claim 13, characterized in that: The first type of value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is a first code point, and a first type of value mapped to the first code point of the target domain is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.
15. The method in the second node according to any one of claims 11 to 14, characterized in that: N1 CSIs are sent by a target receiver of the first configuration information block, the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein, The first CSI is a CSI with the highest priority among the N1 CSIs; Alternatively, the first CSI is the CSI that is sent latest among the N1 CSIs; Alternatively, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.
16. The method in the second node according to any one of claims 11 to 14, characterized in that: N2 CSIs are sent by the target recipient of the first configuration information block, the first CSI is one of the N2 CSIs, N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.
17. The method in the second node according to any one of claims 11 to 16, characterized in that: The generation of the first CSI is based on training or AI.
18. The method in the second node according to any one of claims 11 to 17, characterized in that: include: A target receiver of the first configuration information block performs a first operation, an input of the first operation relying on a measurement based on the first resource set; The first CSI depends on an output of the first operation.
19. The method in the second node according to any one of claims 11 to 18, characterized in that: The first operation is training-based or AI-based.
20. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 11 to 19.
Citation Information
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Method for node used in wireless communication, and apparatus
WO2025246897A1