NWDAF XR Analysis

Abstract

An apparatus comprising: means for receiving, from a network function consumer, a request for analytics related to at least one extended reality feature; means for determining analytics related to the at least one extended reality feature; and means for sending, to the network function consumer, the analytics related to the at least one extended reality feature; wherein the analytics related to the at least one extended reality feature is based on at least one of: analytics determined when the at least one extended reality feature is activated, or analytics determined when the at least one extended reality feature is deactivated.

Description

Technical Field

[0001] The example and non-limiting example embodiments described generally relate to communication, and more specifically to NWDAF XR analysis. Background Technology

[0002] It is known that communication devices provide extended reality functionality within communication networks. Summary of the Invention

[0003] According to one aspect, an apparatus includes components for receiving from a network function consumer a request for analysis related to at least one extended reality feature; components for determining the analysis related to at least one extended reality feature; and components for transmitting the analysis related to at least one extended reality feature to the network function consumer; wherein the analysis related to at least one extended reality feature is based on at least one of the following: analysis determined when at least one extended reality feature is activated, or analysis determined when at least one extended reality feature is deactivated.

[0004] According to one aspect, an apparatus includes components for transmitting a request to a network data analysis function for analysis related to at least one extended reality feature; and components for receiving the analysis related to at least one extended reality feature from the network data analysis function; wherein the analysis related to at least one extended reality feature is based on at least one of the following: analysis determined when at least one extended reality feature is activated, or analysis determined when at least one extended reality feature is deactivated.

[0005] According to one aspect, an apparatus includes components for receiving from a network data analysis function a request for data relating to at least one user equipment that is activated or deactivated by at least one extended reality feature; and components for transmitting to the network data analysis function the data relating to at least one user equipment that is activated or deactivated by at least one extended reality feature; wherein the data relating to at least one user equipment that is activated or deactivated by at least one extended reality feature is configured to generate analysis relating to at least one extended reality feature.

[0006] According to one aspect, an apparatus includes components for receiving from a network data analysis function a user equipment identifier for at least one extended reality feature being activated or deactivated; and components for transmitting to the network data analysis function at least one or more of the following: a list of user equipment identifiers for at least one extended reality feature being activated, or a list of user equipment identifiers for at least one extended reality feature being deactivated; wherein at least one or more of the following are configured to generate analysis related to at least one extended reality feature: a list of user equipment identifiers for at least one extended reality feature being activated, or a list of user equipment identifiers for at least one extended reality feature being deactivated.

[0007] According to one aspect, an apparatus includes components for implementing at least one extended reality application when at least one extended reality feature of at least one extended reality application is activated; components for implementing at least one extended reality application when at least one extended reality feature of at least one extended reality application is deactivated; components for transmitting data associated with implementing at least one extended reality application when at least one extended reality feature is activated to a network data analysis function; and components for transmitting data associated with implementing at least one extended reality application when at least one extended reality feature is deactivated to a network data analysis function. Attached Figure Description

[0008] The foregoing aspects and other features are explained in the following description taken in conjunction with the accompanying drawings.

[0009] Figure 1 This is an example architecture configured to run the examples described in this article.

[0010] Figure 2 The process for determining service experiences with XR features and service experience improvements is illustrated.

[0011] Figure 3 This is a block diagram of a possible non-limiting system that can be implemented using the example embodiments described.

[0012] Figure 4 A representation of an example of a non-volatile memory medium for storing instructions that execute the examples described herein is shown.

[0013] Figure 5 This is an example method based on the examples described in this article.

[0014] Figure 6 This is an example method based on the examples described in this article.

[0015] Figure 7 This is an example method based on the examples described in this article.

[0016] Figure 8This is an example method based on the examples described in this article.

[0017] Figure 9 This is an example method based on the examples described in this article.

[0018] Detailed Implementation of Example Examples The examples described herein relate to the planned Release 19 (Rel-19) Extended Reality and Media Services (XRM) and enablers for the planned Network Analysis Phase 4 (eNA_Ph4) study for Rel. 19. Specifically, the examples described herein extend the Network Data Analysis Function (NWDAF) analysis to evaluate the effectiveness of Extended Reality (XR) features defined in Rel. 18 and potentially enhanced in Rel. 19, as well as new features introduced in Rel. 19 and subsequent 3GPP releases.

[0019] Figure 1 This is an example architecture configured to run the examples described herein. XR analysis 30 is determined by NWDAF230 in 5GC, not necessarily in RAN 60. NWDAF230 and NFs (e.g., NF260, SMF 42, AMF 44, AF250, PCF220, etc.), from which NWDAF230 obtains data (e.g., via link 65) to determine analysis, can run in standalone computing hardware (HW), or more likely run and / or instantiate as virtualization functions in data center / cloud 50. The dashed box used to represent data center or cloud 50 indicates that it is optional for NWDAF230 and NFs (260, 42, 44, 250, 220) to run within data center or cloud 50. The role of RAN 60, including RAN node 170, is that OA&M data from RAN 60 (transmitted via link 368) can be used as a data source for the analysis generated by XR analysis 30.

[0020] The architecture 10 includes at least one processor 70 (e.g., an FPGA and / or a CPU), one or more memories 80 (including computer program code 90) having instructions for performing the methods described herein, wherein the at least one memory 80 and the computer program code 90 are configured, together with the at least one processor 70, to cause the NWDAF 230 and NF (260, 42, 44, 250, 220) to operate circuits, processes, components, modules, or functions to perform the examples described herein. The memory 80 may be non-transient memory, transient memory, volatile memory (e.g., RAM), or non-volatile memory (e.g., ROM). The UE 110 is configured via link 71 to provide data, including the NWDAF 230, to functions in a data center or cloud 50. The NWDAF230 can run messages and signaling as described in this article, for example, see reference. Figure 2 The described messages and signaling. RAN Node 170 configuration and UE reference. Figure 3 To provide a more detailed description.

[0021] Network Data Analysis Function (NWDAF) 230 is a 5GC network function comprised of one or more of the Model Training Logic Function (MTLF) and Analysis Logic Function (AnLF). Any 5GC NF can request analysis (statistics and / or prediction) from an NWDAF containing an AnLF. 3GPP TS23.288 defines the analyses that can be provided by the NWDAF. Examples include slice load level, observed service experience, NF load, network performance, UE mobility, UE communication, user data congestion, and QoS sustainability analysis. For each analysis, 3GPP defines the content of the analysis consumer request, the input data used to determine the analysis, the analysis output, and the process. It also defines the method of data collection (i.e., directly from a data source, using DCCF, or using both DCCF and MFAF) and the data source used to determine the analysis (e.g., from an NF, OA&M, a UE via an AF, ADRF, or RAN). However, 3GPP does not define the internal AI / ML processing within the NWDAF required to determine the analysis.

[0022] The XR features relevant to the examples described herein are described in Section 5.37 of TS23.501, including PDU set processing, L4S ECN marking for the RAN or UPF, policy control enhancements supporting XR multimodal services, and UE power saving management. They are summarized below.

[0023] PDU Set Processing Rel. 18 (see TS 23.501) specifies the PDU set processing mechanism, where a PDU set is one or more PDUs (e.g., video frames or video slices for XR services) carrying a payload of an information unit generated at the application layer. For downlink XR traffic, PDU set detection and determination of PDU set-related parameters are performed by the PSA UPF. Subsequently, the UPF provides the RAN with PDU set information via parameters in the extended header of each packet transmitted in the GTP tunnel between the UPF and the NG-RAN. By doing so, the RAN understands the application layer characteristics and can adjust its processing and packet handling accordingly. In Rel. 18, PDU set processing is performed in the NG-RAN based on the information received in the GTP-U header extension and new QoS parameters applicable to the PDU group forming the PDU set. These parameters are the PDU set error rate (PSER), the PDU set delay budget (PSDB), and the PDU set integrated processing indicator (PSIHI). The PSIHI indicates whether the application requires all PDUs in the PDU set to process application layer information. The UE also supports PDU set processing for uplink PDUs. The UE identifies PDUs belonging to the PDU set and adjusts their processing accordingly.

[0024] L4S markup The Low Latency, Low Loss, and Scalable Throughput (L4S) ECN bit marking is used to indicate congestion in 5GS and is specified in 3GPP TS23.501 in Rel.18: L4S is described in IETF RFC 9330

[159] , IETF RFC 9331

[160] , and IETF RFC 9332

[161] . 5GS exposes congestion information by marking the ECN bit in the IP header of user plane IP packets sent between the UE and the application server. This can trigger application layer rate adaptation on L4S-enabled hosts.

[0025] In 5GS, the L4S ECN tag is enabled per QoS flow in both the uplink and / or downlink directions and can be used for both GBR and non-GBR QoS flows. The L4S ECN tag in the IP header is supported in NG-RAN or PSA UPF.

[0026] QoS parameters determine the QoS provided by 5GS and include parameters such as packet error rate, packet delay budget, and guaranteed stream bit rate. QoS streams are the finest-grained QoS forwarding processes in a 5G system. QoE is the subscriber's quality of experience. QoE can be related to or unrelated to QoS attributes. The L4S tag is the same as the L4S ECN tag.

[0027] PCC Enhancement for Multimodal Services A multimodal service consists of several data streams (named multimodal streams) that are related to each other and may originate from different sources. Each data stream (monomodal data) can be considered as a type of data (e.g., audio, video, location, haptic data) associated with the same communication service. These data streams are expected to be closely related and require strong application coordination to deliver multimodal application data correctly. To achieve this, the application (AF) can simultaneously provide service requirements for each media that constitutes the multimodal service, a multimodal service ID to identify the associated media component, and QoS monitoring requirements for the multiple IP data streams associated with the multimodal service.

[0028] Accordingly, AF provides 5GS with QoS monitoring requirements for multiple IP data flows associated with multimodal services. 5GS provides QoS monitoring as defined in Clause 5.45 of TS 23.501. The QoS monitoring provided by 5GS includes monitoring UL and DL packet delay, round-trip time, congestion, and data rate packet delay variations.

[0029] PCF can use this information (PCC enhancement and multimodal service information) to derive PCC rules and apply QoS policies to data streams that are part of a specific multimodal application.

[0030] UE power saving management The 5G Core (5GC) can provide traffic assistance information to the RAN to help the RAN configure the UE connectivity mode DRX to save UE power. The assistance information consists of UL and / or DL ​​media periodicity and N6 jitter information associated with the DL periodicity. Both are provided via the 5GC control plane (SMF to RAN). The assistance information also includes a data burst end indication that the UPF can insert into the GTP-U header of the DL UP PDU. The RAN can determine the end of the data burst by examining the GTP-U header information sent by the UPF.

[0031] This paper describes new analyses or enhancements to existing analyses to determine the effectiveness of XRM features first defined in 3GPP Rel. 18 and potentially enhanced in Rel. 19, as well as new features introduced in Rel. 19 and subsequent 3GPP releases. Currently, there is no mechanism to determine the effectiveness of XRM features other than monitoring KPIs, which include simple metrics such as congestion information (i.e., the percentage of congestion level), UL and DL data rate information, and round-trip latency for the same UE / PDU session.

[0032] Release 18 XRM has introduced several features to bring application awareness to 5GS. As previously described, these features include PDU set processing, L4S ECN marking by the RAN or UPF, enhanced policy control for supporting XR multimodal services, and UE power-saving management. The goal of these features is to improve subscriber QoE, QoS, and increase capacity utilization for a given QoS / QoE. However, there is currently no mechanism to determine whether these enhancements actually improve the user experience (e.g., do PDU set processing or L4S actually have a positive overall effect on subscriber QoE?). The examples described in this paper address this issue. In particular, 3GPP does not provide a means to evaluate the effectiveness of XR features in improving subscriber QoE. QoS can be a factor in QoE. QoE is the quality of the subscriber's experience and can be measured using MoS (Mean Opinion Score) or a similar metric.

[0033] The example described in this paper introduces a novel "XR Feature" NWDAF analysis, which evaluates the benefits provided by individual features or combinations of features introduced for XR. Benefits are determined by comparing the analysis when a feature is activated (on) with the same analysis when the same feature is deactivated. For example, a first set of analyses determined during a period when one or more features are activated is compared with a second set of analyses determined during a period when one or more features are deactivated. The analysis may include, for example, one or more of the following: "XR Feature Service Experience Analysis" and / or "XR Feature QoS Sustainability Analysis" and / or "XR Feature Congestion Analysis".

[0034] "XR Feature Service Experience Analysis" provides statistics and predictions for QoE (i.e., service experience). It compares the QoE when XR features are "enabled" with the QoE when XR features are "disabled".

[0035] "XR Feature QoS Sustainability Analysis" indicates the degree to which the desired QoS can be maintained. It compares the QoS sustainability when XR features or combinations of XR features are "on" with the QoS sustainability when XR features or combinations of XR features are "off".

[0036] "XR Feature Congestion Analysis" indicates user plane congestion for the application. It compares the congestion analysis when XR features or combinations of XR features are "on" with the congestion analysis when XR features or combinations of XR features are "off".

[0037] Note that these analyses can be used to assess capacity improvements by comparing the capacity of equivalent analyses obtained with features on and off.

[0038] The previously described items, namely L4S, UE power saving management, and PDU set processing, are features. XR feature service experience analysis evaluates the impact of these features on subscriber service experience. Similarly, XR feature sustainability analysis evaluates whether the features improve the sustainability of QoS, etc. When evaluating whether XR features are beneficial, it can be assumed that the QoS and PCC rules in the PCF are constant.

[0039] XR feature analysis can be based on enhancements to various existing analyses, such as "Observed Service Experience," "QoS Sustainability," "User Data Congestion," and "Redundant Transmission Experience Related" analyses, or it can be defined individually using one or more new analysis IDs (e.g., a new analysis ID for "XR Featured Service Experience" analysis). New analysis IDs can be introduced in 3GPP TS 23.288 (currently there are approximately 19 NWDAF analysis IDs, which will be added to them). In either case, the following standardized analysis outputs can be provided (and specified in TS 23.288). These new analyses directly correspond to the enhancements defined for Rel. 18 in Clause 5.37 of TS23.501 for high data rate low latency services, XR, and interactive media services.

[0040] Analysis output from NWDAF (1-2): 1. Service experience, QoS sustainability, congestion analysis, and / or capacity improvement with one or more of the following XR features: PDU set processing, L4S features with L4S marking in the RAN, L4S features with L4S marking in the UPF, congestion information exposed to the AF via the exposed interface, enhancements for multimodal services (enabling the same QoS for synchronous delivery services), use of auxiliary parameters (jitter and EoDB) provided for improved UE power savings (DRX), policy control using round-trip delay requirements, separate UL PDB or DL ​​PDB, AF packet delay variation (jitter) requirements for UL, DL, or RT (i.e., consistent support for low latency requirements), and monitoring results.

[0041] 2. Service experience, QoS sustainability, congestion analysis, and / or capacity improvement depend on the access technology used for XR access.

[0042] The effectiveness of the analytical outputs is evaluated by referring to the analysis output description from NWDAF. This includes improving QoE. The output of the service experience analysis is the MoS score, which directly evaluates QoE.

[0043] Analytics can be provided for a single application, a specified set of applications, or all applications. Analytics can also be provided in combination with XR features. For example, it can provide one or more of the following: PDU set processing and L4S service experience, QoS sustainability, and capacity improvement.

[0044] Consumers who are being analyzed may indicate one or more of the following (1-6) in their requests or subscriptions: 1. XR features—one or more of PDU set processing, L4S, enhancements for multimodal services, UE power saving management and round-trip delay-based policy control, etc., to determine service experience and / or service experience improvements.

[0045] 2. For the indicated feature, "Feature Off / On" or "Feature Improvement". This determines whether to provide feature "Off" and feature "On" analysis, or only provide "Improvement" (i.e., the difference between "Off" and "On").

[0046] 3. Number of UEs.

[0047] 4. Objectives of the Analysis Report – The objectives of the analysis report may be one or more of the following (i-iii): i) to report the UE or group of UEs or "any UE" targeted by the analysis when the specified XR feature is active; ii) to report the UE or group of UEs or "any UE" targeted by the analysis when the specified XR feature is inactive; iii) to consider the UE, group of UEs or "any UE" used for the analysis.

[0048] 5. To determine the application type or application group for analysis, per DNN / S-NSSAI, for a given access (3GPP access, non-3GPP), it means that the performance of XR features can be evaluated for specific networks (DNNs—e.g., Internet, enterprise, etc.) and network slices—e.g., URLLC, eMBB, gaming, etc.

[0049] Note: 5GS can determine which of the specified XR features (if any) are active for the UE by querying the PCF or SMF.

[0050] 6. XR feature-specific parameters as described in this article.

[0051] The new features for data collection provided by 5GS NF include (1-3): 1. Features (such as PDU set processing) for the UE ID of its activity are provided by one or more of PCF 220, SMF 42 or UE 110.

[0052] 2. The time period of the characteristic activity can be provided by PCF 220, SMF 42 or UE 110.

[0053] 3. Additional data specific to XR features—see example in section 7.

[0054] Note that these are parameters in addition to the existing parameters specified by the consumer and the data obtained by NWDAF for analysis—see Section 6 of TS23.288.

[0055] The explanatory process of the method described in this paper based on evaluating the service experience of XR features is as follows: Figure 2 As shown in the image. Specifically, Figure 2 This diagram illustrates the process for identifying and improving service experiences with XR features. The diagram is based on TS23.288. Figure 6 The diagram .4.4-1, "The process by which NWDAF provides service experience for applications," has been modified accordingly. Similar processes can be modified for other XR feature analyses.

[0056] This process allows consumers to request an analysis assessing the impact of one or more XR features (see the previously described list) on subscriber QoE. This can include, for example (1-5): 1) PDU set processing, 2) L4S features, where L4S labeling is performed by the RAN and / or UPF, 3) enhancements to XR multimodal services, 4) improved UE power savings (DRX), 5) etc. (see the previously described list). QoS is one of the factors that can affect QoE. Observed service experience analysis measures QoE.

[0057] Consumers may include a list of application IDs requesting service experience or service experience improvements, or specify "any" application ID. Consumers may further request that the target of the analytics report be one or more UEs, a group of UEs, or "any UE".

[0058] Figure 2 An example signaling exchange is shown, which takes place between NF (consumer) 210, PCF 220, NWDAF 230, NEF240, AF 250 and NF (network data provider) 260. Figure 2 The process shown in the figure is described as follows: 1 (201). Consumer NF 210 sends an analytics request / subscription to NWDAF 230 (Analytics ID = XR feature service experience, XR feature (e.g., PDU set processing, L4S, etc.), application ID, service experience or service experience improvement indicator and UE, a group of UEs or "any UE").

[0059] Therefore, as Figure 2As shown, at 201, NF consumer 210 sends an Nnwdaf_AnalyticsInfo_Request message or an Nnwdaf_AnalyticsSubscription_Subscribe message to NWDAF 230, where Analytics ID = XR Feature Service Experience, and new parameters are sent along with the message.

[0060] 2a-b (202-a, 202-b). At 202-a, NWDAF 230 subscribes to / queries PCF 220 to determine the UE-IDs that the App-ID is using and the XR feature status. At 202-b, PCF 220 provides NWDAF 230 with one of at least two lists: a list of UE-IDs whose XR features are active for the App.ID and a list of UE-IDs whose XR features are inactive for the App.ID.

[0061] Therefore, as Figure 2 As shown, at 202-a, NWDAF 230 sends an Npcf_PolicyAuthorization subscribe message or an Npcf_EventExposure subscribe message to PCF 220, where event_ID = XR feature, and App-ID is optionally provided in the message. At 202-b, PCF 220 sends an Npcf_policyControlNotify message or an Npcf_EventExposure notify message to NWDAF 230, where UE-ID, one or more App-IDs, and one or more XR features are provided in the message.

[0062] 3a (203-a-1, 203-a-2). At 203-a-1, NWDAF 230 subscribes to service data in Table 6.4.2-1 of TS 23.288 from AF 250 by calling the Nnef_EventExposure_Subscribe or Naf_EventExposure_Subscribe service (Event ID = XR feature service experience information, application ID, event filtering information), and the target of the event report = UEs with active XR features and / or UEs with inactive XR features.

[0063] Therefore, as Figure 2As shown, at 203-a-1, NWDAF 230 sends a Naf_EventExposure_Subscribe message to NEF 240 and AF 250, where EventID = XR feature service experience information. At 203-a-2, AF 250 and NEF 240 respond to the message sent at 203-a-1 by sending a response to NWDAF 230. The response may be one or more notifications, including data to determine service experience analysis, with or without active XR features.

[0064] 3b (203-b-1, 203-b-2). NWDAF subscribes to network data from 5GC NF in Table 6.4.2-2 of TS23.288 by calling the Nnf_EventExposure_Subscribe service operation.

[0065] Therefore, as Figure 2 As shown, at 203-b-1, NWDAF 230 sends an Nnf_EventExposure_Subscribe message with an EventID to NF (Network Data Provider) 260. At 203-b-2, NF (Network Data Provider) 260 sends an Nnf_EventExposure_Notify message to NWDAF 230, including data to determine service experience analysis, whether or not it has active XR features.

[0066] 3c (203-c). Using this data, NWDAF 230 estimates the service experience of XR features (the service experience when XR features are enabled and the service experience when XR features are disabled, or the difference between the service experiences). Therefore, as Figure 2 As shown, at 203-c, NWDAF 230 derives a request analysis for XR features.

[0067] 4 (204). NWDAF 230 provides data analysis, i.e., observed XR feature service experience (which may be a series of values), to consumer NF 210 via Nnwdaf_AnalyticsInfo_Request response message or Nnwdaf_AnalyticsSubscription_Notify message, depending on the service used in step 1 (201), indicating how the QoS parameters used satisfy the service MoS agreed between MNO and end user or between MNO and external ASP.

[0068] Therefore, as Figure 2As shown, at 204, NWDAF 230 sends an Nnwdaf_AnalyticsInfo_Request Response message or an Nnwdaf_AnalyticsSubscription_Notify message to NF (consumer) 210, wherein the message contains an estimated service experience with one or more XR features and a service experience improvement with one or more XR features.

[0069] Additional feature-specific "analysis filter" information provided by the consumer to the NWDAF 230 (e.g., via interface 65) or input data that can be used to determine the aforementioned service experience and characteristics may include (1-6): 1) PDU set processing, which may include (ae): a. Protocol description, b. PSDB and PSER values ​​for the PDU set, c. QoS flows enabled for PDU set processing, d. PSDB and PSER monitoring information (indicating when PSDB and PSER are not met and when they are met, requiring knowledge of the actual latency generated by the PDU set), e. The number of UEs using the PDU set and PDU-based processing services (which may be application-specific).

[0070] 2) L4S processing, which may include (ae): a. QoS flows enabled for L4S marking, b. UL and / or DL ​​congestion information based on L4S marking (according to TS23.501 5.37.4), c. the time spent applying data rate adjustments for UL and DL based on L4S marking, d. the latency of L4S activation and L4S inactivation, e. L4S marking performed in RAN or UPF.

[0071] 3) Multimodal processing, which may include (ac): a. Single UE or multi-UE multimodal processing, b. QoS flow enabled for multimodal services, c. Multimodal service ID.

[0072] 4) Power saving enhancement (including UE power saving management), which may include (ac): a. receiving QoS streams indicated by EoDB, b. receiving QoS streams with periodicity and N6 jitter, c. periodicity and jitter information.

[0073] 5) Round-trip delay, UL PDB, DL PDB, which may include (ad): a. QoS stream with receive round-trip delay requirements, b. round-trip requirements, c. allocated UL and DL PDBs, d. QoS performance information.

[0074] 6) Use of group delay variation (jitter) requirements, which may include AF jitter requirements and jitter monitoring results.

[0075] The examples described in this article can be applied to 3GPP XR solutions and can be standardized features of Rel. 19 or in subsequent 3GPP releases. The use of this feature can be demonstrated by consumers using the new NWDAF analytics.

[0076] Figure 2 The signaling shown is a message sent from the consumer to the producer. Figure 2 The signaling and messages shown can also be referred to as service operations.

[0077] Go to Figure 3 This diagram illustrates a possible, non-limiting example of a configuration in 5G, 6G, and higher versions. It shows a User Equipment (UE) 110, a Radio Access Network (RAN) node 170, and a network element 190. Figure 3 In the example, User Equipment (UE) 110 wirelessly communicates with Wireless Network 100. The UE is a wireless device that can access Wireless Network 100. UE 110 includes one or more processors 120, one or more memories 125, and one or more transceivers 130 interconnected via one or more buses 127. Each of the one or more transceivers 130 includes a receiver Rx 132 and a transmitter Tx 133. The one or more buses 127 may be an address bus, a data bus, or a control bus, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, optical fiber, or other optical communication devices. The one or more transceivers 130 are connected to one or more antennas 128. The one or more memories 125 include computer program code 123. UE 110 includes a module 140, which includes one or both of portions 140-1 and / or 140-2, which can operate in a variety of ways. Module 140 may operate in hardware as module 140-1, such as as part of one or more processors 120. Module 140-1 may also operate as an integrated circuit or via other hardware, such as a programmable gate array. In another example, module 140 may operate as module 140-2, which runs as computer program code 123 and is executed by one or more processors 120. For example, one or more memories 125 and computer program code 123 may be configured to perform one or more of the operations described herein with the user device 110 using one or more processors 120. UE 110 communicates with RAN node 170 via wireless link 111.

[0078] In this example, RAN node 170 is a base station that provides access to wireless network 100 for wireless devices such as UE 110. RAN node 170 can be, for example, a 5G base station, also known as a New Radio (NR) or 6G base station. In 5G and 6G, RAN node 170 can be an NG-RAN node, which is defined as a gNB or ng-eNB. A gNB is a node that provides NR user plane and control plane protocol termination to the UE and is connected to the 5GC (such as, for example, network element 190) via an NG interface (such as connection 131). An ng-eNB is a node that provides E-UTRA user plane and control plane protocol termination to the UE and is connected to the 5GC or 6G core network via an NG interface (such as connection 131). An NG-RAN node can include multiple gNBs, which can also include a central unit (CU) (gNB-CU) 196 and a distributed unit (DU) (gNB-DU), of which DU 195 is shown. Note that DU 195 can include or be coupled to and control a radio unit (RU). gNB-CU 196 is a logical node that hosts the Radio Resource Control (RRC), SDAP, and PDCP protocols of the gNB, or controls the RRC and PDCP protocols of the en-gNB that control the operation of one or more gNB-DUs. gNB-CU 196 terminates the F1 interface connected to gNB-DU 195. The F1 interface is shown as reference 198, although reference 198 also shows links between remote elements of RAN node 170 and centralized elements of RAN node 170, such as the link between gNB-CU 196 and gNB-DU 195. gNB-DU 195 is a logical node hosting the RLC, MAC, and PHY layers of the gNB or en-gNB, the operation of which is partially controlled by gNB-CU 196. One gNB-CU 196 supports one or more cells. A cell can be supported by one gNB-DU 195, or a cell can be supported / shared by multiple DUs under RAN sharing. gNB-DU 195 terminates the F1 interface 198 connected to gNB-CU 196. Note that DU 195 is thought to include transceiver 160, for example as part of RU, but some examples may have transceiver 160 as part of a separate RU, for example under the control of DU 195 and connected to DU 195.

[0079] RAN node 170 includes one or more processors 152, one or more memories 155, one or more network interfaces (N / WI / F) 161, and one or more transceivers 160 interconnected via one or more buses 157. Each of the one or more transceivers 160 includes a receiver Rx 162 and a transmitter Tx 163. The one or more transceivers 160 are connected to one or more antennas 158. The one or more memories 155 include computer program code 153. CU 196 may include processor 152, one or more memories 155, and network interfaces 161. Note that DU 195 may also contain its own memory and processor and / or other hardware, but these are not shown.

[0080] RAN node 170 includes module 150, which comprises one or both of portions 150-1 and / or 150-2, and can operate in a variety of ways. Module 150 can operate in hardware as module 150-1, such as as part of one or more processors 152. Module 150-1 can also operate as an integrated circuit or via other hardware, such as a programmable gate array. In another example, module 150 can operate as module 150-2, which runs as computer program code 153 and is executed by one or more processors 152. For example, one or more memories 155 and computer program code 153 are configured, together with one or more processors 152, to enable RAN node 170 to perform one or more operations described herein. Note that the functionality of module 150 can be distributed, such as distributed between DU 195 and CU 196, or operate only in DU 195.

[0081] The one or more network interfaces 161 communicate over a network, for example via links 176 and 131. Two or more gNBs 170 may communicate using, for example, link 176. The link 176 may be wired, wireless, or a combination of both, and may operate, for example, an Xn interface for 5G, or other suitable interfaces for other standards.

[0082] The one or more buses 157 may be address buses, data buses, or control buses, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, optical fiber or other optical communication equipment, wireless channels, etc. For example, the one or more transceivers 160 may operate as a Remote Radio Headend (RRH) 195 or Distributed Unit (DU) 195 for 5G gNB operation, wherein other elements of the RAN node 170 may be physically located in a different location from the RRH / DU 195, and the one or more buses 157 may be partially operated as, for example, fiber optic cables or other suitable network connections to connect other elements of the RAN node 170 (e.g., Central Unit (CU), gNB-CU 196) to the RRH / DU 195. Reference numeral 198 also indicates those suitable network links.

[0083] A RAN node / gNB may include one or more TRPs, and the methods described herein can be applied to such TRPs. Figure 3 The RAN node 170 is shown to include TRP 51 and TRP 52 in addition to the TRP represented by transceiver 160. Similar to transceiver 160, TRP 51 and TRP 52 may each include a transmitter and a receiver. RAN node 170 may host or include... Figure 3 Other TRPs not shown in the diagram.

[0084] In NR, relay nodes are referred to as Integrated Access and Backhaul nodes. The mobile terminal portion of an IAB node facilitates backhaul (parent link) connections. In other words, the mobile terminal portion includes the functionality to carry UE functions. The distributed unit portion of an IAB node facilitates so-called access link (sub-link) connections (i.e., for access link UEs, and for backhaul to other IAB nodes in the case of multi-hop IABs). In other words, the distributed unit portion is responsible for certain base station functions. IAB scenarios can follow a so-called decoupled architecture, where the central unit hosts higher-layer protocols for the UE and terminates at the control plane and user plane interfaces of the 5G core network.

[0085] Note that the description herein indicates that a "cell" performs a function, but it should be clear that the equipment forming the cell can perform the function. The cell constitutes part of a base station. That is, each base station can have multiple cells. For example, for a single carrier frequency and associated bandwidth, there can be three cells, each covering one-third of a 360-degree area, such that the coverage area of ​​a single base station is approximately elliptical or circular. Furthermore, each cell can correspond to a single carrier, and a base station can use multiple carriers. Therefore, if each carrier has three 120-degree cells and two carriers, the base station has a total of six cells.

[0086] Wireless network 100 may include network element 190, which may include core network functions and provide connectivity to another network (e.g., a telephone network and / or a data communication network (e.g., the Internet)) via link 181. Such core network functions for 5G may include location management functions (LMF) and / or access and mobility management functions (AMF) and / or user plane functions (UPF) and / or session management functions (SMF) and / or network data analysis functions (NWDAF) and / or MME (Mobility Management Entity) / SGW (Serving Gateway) functions. Such core network functions may include SON (Self-Organizing / Self-Optimizing Network) functions. These are merely example functions that can be supported by network element 190, and note that both 5G and 6G functions can be supported. RAN node 170 is coupled to network element 190 via link 131. Link 131 may operate as, for example, an NG interface for 5G, or other suitable interfaces for other standards. Network element 190 includes one or more processors 175, one or more memories 171, and one or more network interfaces (N / WI / F) 180, which are interconnected via one or more buses 185. The one or more memories 171 include computer program code 173. The computer program code 173 may include SON and / or MRO functions 172.

[0087] Wireless network 100 can perform network virtualization, which is the process of combining hardware and software network resources and network functions into a single software-based management entity or virtual network. Network virtualization involves platform virtualization, often combined with resource virtualization. Network virtualization is classified as external virtualization (combining many networks or parts of networks into virtual units) or internal virtualization (providing network-like functionality to a software container on a single system). Note that the virtualized entity created by network virtualization still uses hardware (such as processors 152 or 175 and memories 155 and 171) to operate to some extent, and this virtualized entity produces technical effects.

[0088] Computer-readable storage devices 125, 155, and 171 can be of any type suitable for the local technical environment and can operate using any suitable data storage technology, such as semiconductor-based memory devices, flash memory, magnetic storage devices and systems, optical storage devices and systems, non-transient memory, transient memory, fixed memory, and removable memory. Computer-readable storage devices 125, 155, and 171 can be components for performing storage functions. Processors 120, 152, and 175 can be of any type suitable for the local technical environment and can include one or more of general-purpose computers, special-purpose computers, microprocessors, digital signal processors (DSPs), and processors based on multi-core processor architectures, as non-limiting examples. Processors 120, 152, and 175 can be components for performing functions, such as controlling UE 110, RAN node 170, network element 190, and other functions described herein.

[0089] Generally, various example embodiments of user equipment 110 may include, but are not limited to: cellular phones (e.g., smartphones), tablet computers, personal digital assistants (PDAs) with wireless communication capabilities, portable computers with wireless communication capabilities, image capture devices (e.g., digital cameras) with wireless communication capabilities, gaming devices with wireless communication capabilities, music storage and playback devices with wireless communication capabilities, internet devices that allow wireless internet access and browsing, tablet computers with wireless communication capabilities, head-mounted displays (e.g., those running virtual / augmented / mixed reality), and portable units or terminals combining these functions. UE 110 may also be a vehicle (e.g., an automobile), or a UE installed in a vehicle, a UAV (e.g., a drone), or a UE installed in a UAV. User equipment 110 may be a terminal device, such as a mobile phone, mobile device, sensor device, etc., which may or may not be used by a user.

[0090] UE 110, RAN node 170, and / or network element 190 (and associated memory, computer program code, and modules) can be configured to (e.g., partially) run the methods described herein. Therefore, Figure 3 The computer program code 123, module 140-1, module 140-2, and other components / features of UE 110 can run the user equipment-related aspects of the examples described herein. Similarly, Figure 3 The computer program code 153, module 150-1, module 150-2 and other elements / features of the RAN node 170 can run the gNB / TRP related aspects of the examples described herein. Figure 3 The computer program code 173 and other components / features of network element 190 can be configured to run the network element-related aspects of the examples described herein.

[0091] Figure 4 The diagram illustrates non-volatile memory media 400a (e.g., a computer / optical disc (CD) or digital versatile optical disc (DVD)), 400b (e.g., a Universal Serial Bus (USB) memory stick), and 400c (e.g., cloud storage for downloading instructions and / or parameters 402 or receiving email transmission instructions and / or parameters 402), which store instructions and / or parameters 402 that, when executed by a processor, allow the processor to perform one or more steps of the methods described herein. Instructions and / or parameters 402 may represent non-transient computer-readable media.

[0092] Figure 5 This is example method 500, based on the example embodiments described herein. At 510, the method includes receiving a request from a network function consumer for analysis related to at least one extended reality feature. At 520, the method includes determining the analysis related to at least one extended reality feature. At 530, the method includes transmitting the analysis related to at least one extended reality feature to the network function consumer. At 540, the method includes wherein the analysis related to at least one extended reality feature is based on at least one of the following: analysis determined when at least one extended reality feature is activated, or analysis determined when at least one extended reality feature is deactivated. Method 500 can be performed in conjunction with NWDAF 230.

[0093] Figure 6 This is example method 600, based on the example embodiments described herein. At 610, the method includes transmitting a request to a network data analysis function for analysis related to at least one extended reality feature. At 620, the method includes receiving analysis related to at least one extended reality feature from the network data analysis function. At 630, the method includes wherein the analysis related to at least one extended reality feature is based on at least one of the following: analysis determined when at least one extended reality feature is activated, or analysis determined when at least one extended reality feature is deactivated. Method 600 can be performed in conjunction with NF (Consumer) 210.

[0094] Figure 7This is example method 700, based on the example embodiments described herein. At 710, the method includes receiving a request from a network data analysis function for data related to at least one user device that is activated or deactivated by at least one extended reality feature. At 720, the method includes transmitting the data related to at least one user device that is activated or deactivated by at least one extended reality feature to the network data analysis function. At 730, the method includes wherein the data related to at least one user device that is activated or deactivated by at least one extended reality feature is configured to generate analysis related to at least one extended reality feature. Method 700 can be performed in conjunction with NEF 240 or AF 250.

[0095] Figure 8 This is an example method 800 based on the example embodiments described herein. At 810, the method includes receiving a request from a network data analysis function for user equipment identifiers for at least one extended reality feature being activated or deactivated. At 820, the method includes transmitting to the network data analysis function at least one or more of the following: a list of user equipment identifiers for at least one extended reality feature being activated, or a list of user equipment identifiers for at least one extended reality feature being deactivated. At 830, the method includes wherein at least one or more of the following are configured to generate analysis related to at least one extended reality feature: a list of user equipment identifiers for at least one extended reality feature being activated, or a list of user equipment identifiers for at least one extended reality feature being deactivated. Method 800 can be performed in conjunction with PCF 220 or SMF 42.

[0096] Figure 9 This is example method 900, based on the example embodiments described herein. At 910, the method includes implementing at least one extended reality application when at least one extended reality feature of at least one extended reality application is activated. At 920, the method includes implementing at least one extended reality application when at least one extended reality feature of at least one extended reality application is deactivated. At 930, the method includes transmitting to a network data analysis function data associated with implementing at least one extended reality application when at least one extended reality feature is activated. At 940, the method includes transmitting to a network data analysis function data associated with implementing at least one extended reality application when at least one extended reality feature is deactivated. Method 900 can be performed with UE 110.

[0097] The following examples are provided and described in this article.

[0098] Example 1. An apparatus comprising: components for receiving from a network function consumer a request for analysis relating to at least one extended reality feature; components for determining the analysis relating to the at least one extended reality feature; and components for transmitting the analysis relating to the at least one extended reality feature to the network function consumer; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0099] Example 2. The apparatus according to Example 1 further includes: a component for determining the analysis associated with the at least one extended reality feature by comparing the analysis determined when the at least one extended reality feature is activated with the analysis determined when the at least one extended reality feature is deactivated.

[0100] Example 3. The apparatus according to any one of Examples 1 to 2 further includes: a component for determining the analysis associated with the at least one extended reality feature by comparing the analysis determined during a time period when the at least one extended reality feature is activated and the analysis determined during the time period when the at least one extended reality feature is deactivated.

[0101] Example 4. An apparatus according to any one of Examples 1 to 3, wherein the at least one Extended Reality feature is associated with one or more of the following: Protocol Data Unit Set processing, or low latency, low loss and scalable throughput, or congestion information exposed to application functions via an exposed interface, or multimodal service, or user equipment power saving management, or policy control based on round-trip latency requirements, or application function packet latency requirements.

[0102] Example 5. The apparatus according to any one of Examples 1 to 4, wherein the extended reality feature service experience analysis includes one or more of the following: the extended reality feature service experience analysis including statistics or predictions of experience quality, or the extended reality feature service quality sustainability analysis indicating the degree to which service quality can be maintained, or the extended reality feature congestion analysis indicating user-plane congestion for an application, or an enhancement of existing analysis.

[0103] Example 6. The apparatus according to any one of Examples 1 to 5 further includes: components for transmitting a request to a policy control function or a session management function for a user equipment identifier that is activated or deactivated for the at least one extended reality feature; and components for receiving from the policy control function or the session management function at least one or more of the following: a list of user equipment identifiers for which the at least one extended reality feature is activated, or a list of user equipment identifiers for which the at least one extended reality feature is deactivated; wherein the analysis associated with the at least one extended reality feature is determined based on at least one or more of the following: a list of user equipment identifiers for which the at least one extended reality feature is activated, or a list of user equipment identifiers for which the at least one extended reality feature is deactivated.

[0104] Example 7. The apparatus according to any one of Examples 1 to 6 further includes: components for transmitting a request to a policy control function or a session management function for a user device identifier that is activated or deactivated for the at least one extended reality feature; and components for receiving from the policy control function or the session management function at least one or more of the following: a list of user device identifiers that are activated for the at least one extended reality feature, or a list of user device identifiers that are deactivated for the at least one extended reality feature; wherein the analysis associated with the at least one extended reality feature is determined based on at least one or more of the following: a list of user device identifiers that are activated for the at least one extended reality feature, or a list of user device identifiers that are deactivated for the at least one extended reality feature.

[0105] Example 8. The apparatus according to Example 6 or 7, wherein: the request is transmitted to the policy control function using the Npcf service, or to the session management function using the Nsmf service; and one or more of the lists are received from the policy control function using the Npcf service, or from the session management function using the Nsmf service.

[0106] Example 9. In the apparatus according to Example 6 or 7, the list of user device identifiers in which the at least one extended reality feature is activated, or the list of user device identifiers in which the at least one extended reality feature is deactivated, is supplemented with information relating to the time when the at least one extended reality feature is activated or deactivated for at least one user device.

[0107] Example 10. The apparatus according to any one of Examples 1 to 9 further includes: components for transmitting a request to a network exposure function or an application function for data related to at least one user equipment that is activated or deactivated by the at least one extended reality feature; and components for receiving the data related to the at least one user equipment that is activated or deactivated by the at least one extended reality feature from the network exposure function or the application function; wherein the analysis related to the at least one extended reality feature is determined based on the data related to the at least one user equipment that is activated or deactivated by the at least one extended reality feature.

[0108] Example 11. The apparatus according to Example 10, wherein: the request for data related to the at least one user device for which the at least one extended reality feature is activated or deactivated is transmitted to the network exposure function using the Nnef service, or to the application function using the Naf service; and the data related to the at least one user device for which the at least one extended reality feature is activated or deactivated is received from the network exposure function using the Nnef service, or from the application function using the Naf service.

[0109] Example 12. An apparatus according to any one of Examples 1 to 11, wherein the request received from the network function consumer for the analysis related to the at least one extended reality feature includes a subscription request for the analysis related to the at least one extended reality feature.

[0110] Example 13. The apparatus according to any one of Examples 1 to 12, wherein the analysis associated with the at least one extended reality feature is determined based on at least one target user device.

[0111] Example 14. The apparatus according to Example 13, wherein the request received from the network function consumer for the analysis related to the at least one extended reality feature includes the at least one target user device.

[0112] Example 15. An apparatus according to any one of Examples 13 to 14, wherein the at least one target user equipment includes one or more of the following: at least one designated user equipment, a designated group of user equipment, or any user equipment; or at least one designated user equipment, a designated group of user equipment, or any user equipment activated for the at least one extended reality feature; or at least one designated user equipment, a designated group of user equipment, or any user equipment deactivated for the at least one extended reality feature.

[0113] Example 16. The apparatus according to any one of Examples 1 to 15, wherein the analysis associated with the at least one extended reality feature is determined based on an application type or a set of applications.

[0114] Example 17. The apparatus according to Example 16, wherein the request received from the network function consumer for the analysis related to the at least one extended reality feature includes the application type or the set of applications.

[0115] Example 18. An apparatus according to any one of Examples 16 to 17, wherein the analysis associated with the at least one extended reality feature is determined based on auxiliary information selected by data network name or by a single network slice for the application type or the set of applications for a given access.

[0116] Example 19. The apparatus according to Example 18, wherein the given access includes 3GPP access or non-3GPP access.

[0117] Example 20. An apparatus according to any one of Examples 1 to 19, wherein: the request for the analysis associated with the at least one extended reality feature is received from the network function consumer using the Nnwdaf service; and the analysis associated with the at least one extended reality feature is transmitted to the network function consumer using the nnwdaf service.

[0118] Example 21. An apparatus comprising: components for transmitting a request to a network data analysis function for an analysis relating to at least one extended reality feature; and components for receiving the analysis relating to the at least one extended reality feature from the network data analysis function; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0119] Example 22. The apparatus according to Example 21, wherein the analysis associated with the at least one extended reality feature is based on the following comparison: the analysis determined when the at least one extended reality feature is activated, and the analysis determined when the at least one extended reality feature is deactivated.

[0120] Example 23. An apparatus according to any one of Examples 21 to 22, wherein the analysis associated with the at least one extended reality feature is based on the following comparison: the analysis determined when the at least one extended reality feature is activated during a time period, and the analysis determined when the at least one extended reality feature is deactivated during the time period.

[0121] Example 24. An apparatus according to any one of Examples 21 to 23, wherein the at least one Extended Reality feature is associated with one or more of the following: Protocol Data Unit Set Processing, or low latency, low loss and scalable throughput, or congestion information exposed to application functions via an exposed interface, or multimodal service, or user equipment power saving management, or policy control based on round-trip latency requirements, or application function packet latency requirements.

[0122] Example 25. An apparatus according to any one of Examples 21 to 24, wherein the analysis associated with the at least one extended reality feature includes one or more of the following: an extended reality feature service experience analysis including statistics or predictions of experience quality, or an extended reality feature service quality sustainability analysis indicating the extent to which service quality can be maintained, or an extended reality feature congestion analysis indicating user-plane congestion for an application, or an enhancement of existing analysis.

[0123] Example 26. An apparatus according to any one of Examples 21 to 25, wherein the request transmitted to the network data analysis function for the analysis related to the at least one extended reality feature includes a subscription request for the analysis related to the at least one extended reality feature.

[0124] Example 27. The apparatus according to any one of Examples 21 to 26, wherein the analysis associated with the at least one extended reality feature is based on at least one target user device.

[0125] Example 28. The apparatus according to Example 27, wherein the request transmitted to the network data analysis function for the analysis relating to the at least one extended reality feature includes the at least one target user device.

[0126] Example 29. An apparatus according to any one of Examples 27 to 28, wherein the at least one target user equipment comprises one or more of the following: at least one designated user equipment, a designated group of user equipment, or any user equipment; or at least one designated user equipment, a designated group of user equipment, or any user equipment activated for the at least one extended reality feature; or at least one designated user equipment, a designated group of user equipment, or any user equipment deactivated for the at least one extended reality feature.

[0127] Example 30. The apparatus according to any one of Examples 21 to 29, wherein the analysis associated with the at least one extended reality feature is based on an application type or a set of applications.

[0128] Example 31. The apparatus according to Example 30, wherein the request transmitted to the network data analysis function for the analysis related to the at least one extended reality feature includes the application type or the set of applications.

[0129] Example 32. An apparatus according to any one of Examples 30 to 31, wherein the analysis associated with the at least one extended reality feature is based on selecting auxiliary information for the application type or the set of applications for a given access, either by data network name or by a single network slice.

[0130] Example 33. The apparatus according to Example 32, wherein the given access includes 3GPP access or non-3GPP access.

[0131] Example 34. An apparatus according to any one of Examples 21 to 33, wherein: the request for analysis related to the at least one extended reality feature is transmitted to the network data analysis function using the Nnwdaf service; and the analysis related to the at least one extended reality feature is received from the network data analysis function using the Nnwdaf service.

[0132] Example 35. An apparatus comprising: components for receiving, from a network data analysis function, a request for data relating to at least one user device that is activated or deactivated by at least one extended reality feature; and components for transmitting, to the network data analysis function, the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature; wherein the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature is configured to generate analysis relating to the at least one extended reality feature.

[0133] Example 36. The apparatus according to Example 35 further includes: components for forwarding the request to an application function for data related to the at least one user device in which at least one extended reality feature is activated or deactivated; and components for receiving the data related to the at least one user device in which at least one extended reality feature is activated or deactivated from the application function.

[0134] Example 37. The apparatus according to any one of Examples 35 to 36 further includes: components for receiving from a network exposure function the request for data associated with the at least one user device having at least one extended reality feature activated or deactivated; wherein the request for data associated with the at least one user device having at least one extended reality feature activated or deactivated is indirectly received from the network data analysis function via the network exposure function; and components for transmitting to the network exposure function the data associated with the at least one user device having at least one extended reality feature activated or deactivated; The data associated with the at least one user device whose at least one extended reality feature is activated or deactivated is indirectly transmitted to the network data analysis function via the network exposure function.

[0135] Example 38. An apparatus according to any one of Examples 35 to 37, wherein: the request for data related to the at least one user device for which the at least one extended reality feature is activated or deactivated is received from the network data analysis function using a Naf service; and the data related to the at least one user device for which the at least one extended reality feature is activated or deactivated is transmitted to the network data analysis function using the Naf service.

[0136] Example 39. An apparatus comprising: components for receiving from a network data analysis function a request for user device identifiers for at least one extended reality feature being activated or deactivated; and components for transmitting to the network data analysis function at least one or more of the following: a list of user device identifiers for which the at least one extended reality feature is activated, or a list of user device identifiers for which the at least one extended reality feature is deactivated; wherein at least one or more of the following are configured to generate the analysis associated with the at least one extended reality feature: the list of user device identifiers for which the at least one extended reality feature is activated, or the list of user device identifiers for which the at least one extended reality feature is deactivated.

[0137] Example 40. The apparatus of Example 39 further includes: components for receiving from the network data analysis function the request for activated or deactivated user equipment identifiers for the at least one extended reality feature relative to the application identifier; and components for transmitting to the network data analysis function at least one or more of the following: the list of user equipment identifiers activated for the at least one extended reality feature relative to the application identifier, or the list of user equipment identifiers deactivated for the at least one extended reality feature relative to the application identifier; wherein the following are configured to generate the analysis associated with the at least one extended reality feature: the list of user equipment identifiers activated for the at least one extended reality feature relative to the application identifier, or the list of user equipment identifiers deactivated for the at least one extended reality feature relative to the application identifier.

[0138] Example 41. The apparatus according to Example 39 or 40, wherein: the request is received from the network data analysis function using an Npcf service or an Nsmf service; and one or more of the lists are transmitted to the network data analysis function using an Npcf service or an Nsmf service.

[0139] Example 42. In the apparatus of Example 39 or 40, the list of user device identifiers in which the at least one extended reality feature is activated, or the list of user device identifiers in which the at least one extended reality feature is deactivated, is supplemented with information relating to the time when the at least one extended reality feature is activated or deactivated for at least one user device.

[0140] Example 43. An apparatus comprising: components for implementing the at least one extended reality application when at least one extended reality feature of the at least one extended reality application is activated; components for implementing the at least one extended reality application when the at least one extended reality feature of the at least one extended reality application is deactivated; components for transmitting data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated to a network data analysis function; and components for transmitting data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated to the network data analysis function.

[0141] Example 44. The apparatus according to Example 43, wherein the data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated, and the data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated, are configured to be used with the network data analysis function to generate analysis. The analysis is determined when the at least one extended reality feature of the at least one extended reality application is activated, or when the at least one extended reality feature of the at least one extended reality application is deactivated.

[0142] Example 45. The apparatus according to any one of Examples 43 to 44 further includes: means for transmitting to the network data analysis function the data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated during a first time period; and means for transmitting to the network data analysis function the data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated during a second time period.

[0143] Example 46. The apparatus according to any one of Examples 43 to 45 further includes: maintaining an application identifier associated with the at least one extended reality application; wherein the application identifier associated with the at least one extended reality application is configured to be used with the network data analysis function to generate the analysis determined when the at least one extended reality feature of the at least one extended reality application is activated, or when the at least one extended reality feature of the at least one extended reality application is deactivated.

[0144] Example 47. An apparatus according to any one of Examples 43 to 46, wherein the user equipment includes the apparatus.

[0145] Example 48. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to at least: receive from a network function consumer a request for analysis related to at least one extended reality feature; determine the analysis related to the at least one extended reality feature; and transmit the analysis related to the at least one extended reality feature to the network function consumer; wherein the analysis related to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0146] Example 49. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to at least: transmit a request to a network data analysis function for analysis related to at least one extended reality feature; and receive the analysis related to the at least one extended reality feature from the network data analysis function; wherein the analysis related to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0147] Example 50. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to at least: receive from a network data analysis function a request for data relating to at least one user device with at least one extended reality feature activated or deactivated; and transmit to the network data analysis function the data relating to the at least one user device with at least one extended reality feature activated or deactivated; wherein the data relating to the at least one user device with at least one extended reality feature activated or deactivated is configured to generate analysis relating to the at least one extended reality feature.

[0148] Example 51. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to at least: receive from a network data analysis function a request for user device identifiers for at least one extended reality feature being activated or deactivated; and transmit to the network data analysis function at least one or more of the following: a list of user device identifiers for which the at least one extended reality feature is activated, or a list of user device identifiers for which the at least one extended reality feature is deactivated; wherein at least one or more of the following are configured to generate the analysis associated with the at least one extended reality feature: the list of user device identifiers for which the at least one extended reality feature is activated, or the list of user device identifiers for which the at least one extended reality feature is deactivated.

[0149] Example 52. An apparatus comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to at least: implement the at least one extended reality application when at least one extended reality feature of the at least one extended reality application is activated; implement the at least one extended reality application when the at least one extended reality feature of the at least one extended reality application is deactivated; transmit to a network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated; and transmit to the network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated.

[0150] Example 53. A method comprising: receiving from a network function consumer a request for analysis relating to at least one extended reality feature; determining the analysis relating to the at least one extended reality feature; and transmitting the analysis relating to the at least one extended reality feature to the network function consumer; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0151] Example 54. A method comprising: transmitting a request to a network data analysis function for analysis relating to at least one extended reality feature; and receiving the analysis relating to the at least one extended reality feature from the network data analysis function; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0152] Example 55. A method comprising: receiving from a network data analysis function a request for data relating to at least one user device that is activated or deactivated by at least one extended reality feature; and transmitting to the network data analysis function the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature; wherein the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature is configured to generate analysis relating to the at least one extended reality feature.

[0153] Example 56. A method comprising: receiving from a network data analysis function a request for user device identifiers for at least one extended reality feature being activated or deactivated; and transmitting to the network data analysis function at least one or more of the following: a list of user device identifiers for which the at least one extended reality feature is activated, or a list of user device identifiers for which the at least one extended reality feature is deactivated; wherein at least one or more of the following are configured to generate the analysis associated with the at least one extended reality feature: the list of user device identifiers for which the at least one extended reality feature is activated, or the list of user device identifiers for which the at least one extended reality feature is deactivated.

[0154] Example 57. A method comprising: implementing the at least one extended reality application when at least one extended reality feature of the at least one extended reality application is activated; implementing the at least one extended reality application when the at least one extended reality feature of the at least one extended reality application is deactivated; transmitting to a network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated; and transmitting to the network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated.

[0155] Example 58. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: receiving from a network function consumer a request for analysis relating to at least one extended reality feature; determining the analysis relating to the at least one extended reality feature; and transmitting the analysis relating to the at least one extended reality feature to the network function consumer; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0156] Example 59. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: transmitting a request to a network data analysis function for analysis relating to at least one extended reality feature; and receiving from the network data analysis function the analysis relating to the at least one extended reality feature; wherein the analysis relating to the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

[0157] Example 60. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: receiving from a network data analysis function a request for data relating to at least one user device that is activated or deactivated by at least one extended reality feature; and transmitting to the network data analysis function the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature; wherein the data relating to the at least one user device that is activated or deactivated by the at least one extended reality feature is configured to generate analysis relating to the at least one extended reality feature.

[0158] Example 61. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: receiving from a network data analysis function a request for user device identifiers for at least one extended reality feature being activated or deactivated; and transmitting to the network data analysis function at least one or more of the following: a list of user device identifiers for which the at least one extended reality feature is activated, or a list of user device identifiers for which the at least one extended reality feature is deactivated; wherein at least one or more of the following are configured to generate the analysis associated with the at least one extended reality feature: the list of user device identifiers for which the at least one extended reality feature is activated, or the list of user device identifiers for which the at least one extended reality feature is deactivated.

[0159] Example 62. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: implementing the at least one extended reality application when at least one extended reality feature of the at least one extended reality application is activated; implementing the at least one extended reality application when the at least one extended reality feature of the at least one extended reality application is deactivated; transmitting to a network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated; and transmitting to the network data analysis function data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated.

[0160] References to "computer," "processor," etc., should be understood to encompass not only computers with different architectures, such as single / multiprocessor architectures and sequential or parallel architectures, but also special-purpose circuits, such as field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), signal processing devices, and other processing circuits. References to computer programs, instructions, code, etc., should be understood to encompass the software or firmware used in programmable processors, such as the programmable content of hardware devices, whether it is instructions for the processor or configuration settings for fixed-function devices, gate arrays, or programmable logic devices, etc.

[0161] The memory described herein can be operated using any suitable data storage technology, such as semiconductor-based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, non-transient memory, transient memory, fixed memory, and removable memory. The memory may include a database for storing data.

[0162] As used herein, the term "circuit" may refer to: (a) the operation of hardware circuitry, such as operation in analog and / or digital circuitry; and (b) a combination of circuitry and software (and / or firmware), such as (if applicable): (i) a combination of processors or (ii) a portion of processor / software, including digital signal processors, software, and memory, which work together to enable a device to perform various functions; and (c) a circuit, such as a microprocessor or a portion of a microprocessor, which requires software or firmware to operate, even if the software or firmware is not actually present. As a further example, as used herein, the term "circuit" will also cover the operation of a processor (or multiple processors) or a portion of a processor and its accompanying software and / or firmware. The term "circuit" will also cover, for example, baseband integrated circuits or application processor integrated circuits for mobile phones, or similar integrated circuits in servers, cellular network equipment, or other network equipment, if applicable.

[0163] It should be understood that the foregoing description is illustrative only. Various alternatives and modifications can be devised by those skilled in the art. For example, features recited in the dependent claims can be combined with each other in any suitable combination. Furthermore, features from the different example embodiments described above can be selectively combined to form new example embodiments. Therefore, this specification is intended to cover all such alternatives, modifications, and variations falling within the scope of the appended claims.

[0164] The following abbreviations and acronyms, which can be found in the instruction manual and / or accompanying drawings, are given below (the abbreviations and acronyms may be appended / combined with each other or with other characters, using, for example, dashes, hyphens, forward slashes, letters or numbers, and may not be case-sensitive): 3GPP Third Generation Partnership Project 5G (Fifth Generation) 5GC 5G Core Network 5GS 5G system 6G sixth generation ADRF analysis and data repository functionality AF application functions AI (Artificial Intelligence) AMF Access and Mobility Management Functions AnLF Analysis Logic Function ASIC (Application-Specific Integrated Circuit) ASP application service provider CD Compact / Computer Optical Disc CPU (Central Processing Unit) CU (Centralized Unit) DCCF Data Collection Coordination Function DL downlink DNN Data Network Name DRX discontinuous reception DSP Digital Signal Processor DU Distributed Unit DVD Digital Multifunction Disc ECN Explicit Congestion Notification eMBB Enhanced Mobile Broadband eNA_Ph4 Network Analysis Enabler Phase 4 EN-DC E-UTRAN New Radio – Dual Connectivity The en-gNB is a node that provides NR user plane and control plane protocol termination to the UE and acts as a secondary node in the EN-DC. EoDB data burst ends E-UTRA evolved UMTS terrestrial radio access E-UTRAN E-UTRA Network Interface between F1 CU and DU FPGA (Field Programmable Gate Array) GBR guarantees bit rate gNB 5G / NR base station, which is a node that provides NR user plane and control plane protocol termination to the UE and connects to the 5GC via the NG interface. GPRS General Packet Radio Service GTP GPRS Tunneling Protocol GTP-U GTP User Data Tunnel Protocol HW Hardware KPIs (Key Performance Indicators) IAB Integration Access and Backhaul ID identifier IETF Internet Engineering Task Force I / F interface I / O Input / Output IP Internet Protocol L4S: Low latency, low loss, and scalable throughput LMF location management function MAC Media Access Control MFAF Messaging Framework Adapter Functionality ML Machine Learning MME (Mobility Management Entity) MoS Average Opinion Score MNO mobile network operator MRO Mobility Robustness Optimization MTLF model training logic function N6 provides an interface for connecting the User Plane Function (UPF) to any other external (or internal) network or service platform. NAF Service-Based Interface for AF NCE Network Control Components NEF Network Exposure Function NF Network Functions ng or NG, next generation ng-eNB, the next generation of eNB NG-RAN (Next Generation Radio Access Network) Nnef is a service-based interface for NEF. NNF defines interfaces for NWDAF, used to request subscription to data delivery for a specific context, unsubscribe from data delivery, and request specific data reports for a specific context. Nnwdaf is a service-based interface presented by NWDAF. NPCF is a service-based interface presented by PCF. NR New Radio NSMF is a service-based interface presented by SMF. N / W network NWDAF Network Data Analysis Function OAM, OA&M operation, management and maintenance PCC Policy and Billing Control PCF policy control function PDA (Personal Digital Assistant) PDB Packet Delay Budget PDCP (Packet Data Convergence Protocol) PDU Protocol Data Unit PHY physical layer PSA PDU Session Anchor PSDB PDU Set Delay Budget PSER PDU set error rate PSIHI PDU Collection Comprehensive Processing Indicator QoE (Quality of Experience) QoS (Quality of Service) RAM (Random Access Memory) RAN (Radio Access Network) Rel version RFC Request for Comments RLC Wireless Link Control ROM (Read-Only Memory) RRC (Radio Resource Control) RU wireless unit RT round trip Rx receiver, or receiver, or receive Regarding SA systems (e.g., SA2) SDAP Service Data Adaptation Protocol SGW Service Gateway SMF Session Management Function S-NSSAI Single-Network Slice Selection Auxiliary Information SON self-organizing / self-optimizing network TRP Sending and Receiving Points TS Technical Specifications Tx (transmission), or sender, or transmission UAV (Unmanned Aerial Vehicle) UE (User Equipment) (e.g., wireless, typically mobile devices) UI (User Interface) UL uplink UMTS (Universal Mobile Telecommunications System) UP (User Plane) UPF user plane function URLLC (Ultra-Reliable and Low-Latency Communications) USB Universal Serial Bus UTRAN (Universal Radio Access Network) Xn Network interface between NG-RAN nodes XR (Extended Reality) XRM (Extended Reality and Media Services)

Claims

1. An apparatus comprising: A component for receiving requests from network function consumers for analysis related to at least one extended reality feature; Components for determining the analysis associated with the at least one extended reality feature; as well as Components for transmitting the analysis related to the at least one extended reality feature to the network function consumer; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

2. The apparatus according to claim 1, further comprising: A component for determining the analysis associated with the at least one extended reality feature by comparing the analysis determined when the at least one extended reality feature is activated with the analysis determined when the at least one extended reality feature is deactivated.

3. The apparatus according to any one of claims 1 to 2, further comprising: A component for determining the analysis associated with the at least one extended reality feature by comparing the analysis determined when the at least one extended reality feature is activated during a time period and the analysis determined when the at least one extended reality feature is deactivated during the same time period.

4. The apparatus according to any one of claims 1 to 3, wherein the at least one extended reality feature is associated with one or more of the following: Protocol data unit set processing, or Low latency, low loss, and scalable throughput, or Congestion information exposed to application functions via the exposed interface, or Multimodal services, or User equipment power saving management, or Policy control based on round-trip delay requirements, or Application function grouping latency requirements.

5. The apparatus according to any one of claims 1 to 4, wherein the extended reality feature service experience analysis comprises one or more of the following: This includes statistical or predictive analysis of extended reality features related to service experience quality, or... An extended reality characteristic indicating the extent to which service quality can be maintained; service quality sustainability analysis, or Indicates extended reality features of congestion analysis for user plane congestion of an application, or Enhancements to existing analysis.

6. The apparatus according to any one of claims 1 to 5, further comprising: A component for transmitting a request to a policy control function or session management function for a user equipment identifier that indicates the activation or deactivation of the at least one extended reality feature; as well as A component for receiving at least one or more of the following from the policy control function or the session management function: a list of user device identifiers in which the at least one extended reality feature is activated, or a list of user device identifiers in which the at least one extended reality feature is deactivated; The analysis relating to the at least one Extended Reality feature is determined based on at least one or more of the following: a list of user device identifiers in which the at least one Extended Reality feature is activated, or a list of user device identifiers in which the at least one Extended Reality feature is deactivated.

7. The apparatus according to any one of claims 1 to 6, further comprising: A component for transmitting a request to a policy control function or session management function for the user equipment identifier of the at least one extended reality feature to be activated or deactivated for the application identifier. as well as A component for receiving at least one or more of the following from the policy control function or the session management function: a list of user device identifiers that are activated by the at least one extended reality feature for the application identifier, or a list of user device identifiers that are deactivated by the at least one extended reality feature for the application identifier; The analysis relating to the at least one Extended Reality feature is determined based on at least one or more of the following: a list of user device identifiers for which the at least one Extended Reality feature is activated for the application identifier, or a list of user device identifiers for which the at least one Extended Reality feature is deactivated for the application identifier.

8. The apparatus according to claim 6 or 7, wherein: The request is transmitted to the policy control function using the Npcf service, or to the session management function using the Nsmf service; as well as One or more of the lists are received from the policy control function using the Npcf service, or from the session management function using the Nsmf service.

9. The apparatus of claim 6 or 7, wherein the list of user device identifiers in which the at least one extended reality feature is activated, or the list of user device identifiers in which the at least one extended reality feature is deactivated, is supplemented with information relating to the time when the at least one extended reality feature is activated or deactivated for at least one user device.

10. The apparatus according to any one of claims 1 to 9, further comprising: A component for transmitting a request to a network exposure function or application function for data relating to at least one user device that is activated or deactivated by the at least one extended reality feature; as well as A component for receiving data from the network exposure function or the application function related to the activation or deactivation of the at least one user device of the at least one extended reality feature; The analysis relating to the at least one Extended Reality feature is determined based on the data associated with the at least one user device in which the at least one Extended Reality feature is activated or deactivated.

11. The apparatus according to claim 10, wherein: The request for data related to the at least one user device in which the at least one extended reality feature is activated or deactivated is transmitted to the network exposure function using the Nnef service, or to the application function using the Naf service; as well as The data associated with the at least one user device whose at least one extended reality feature is activated or deactivated is received from the network exposure function using the Nnef service, or from the application function using the Naf service.

12. The apparatus of any one of claims 1 to 11, wherein the request received from the network function consumer for the analysis related to the at least one extended reality feature includes a subscription request for the analysis related to the at least one extended reality feature.

13. The apparatus according to any one of claims 1 to 12, wherein the analysis associated with the at least one extended reality feature is determined based on at least one target user device.

14. The apparatus of claim 13, wherein the request received from the network function consumer for the analysis relating to the at least one extended reality feature includes the at least one target user equipment.

15. The apparatus according to any one of claims 13 to 14, wherein the at least one target user equipment comprises one or more of the following: At least one specified user equipment, a specified group of user equipment, or any user equipment, or At least one designated user device, a designated group of user devices, or any user device activated for the at least one extended reality feature, or At least one specified user device, a specified group of user devices, or any user device that is deactivated for the at least one Extended Reality feature.

16. The apparatus according to any one of claims 1 to 15, wherein the analysis associated with the at least one extended reality feature is determined based on application type or a set of applications.

17. The apparatus of claim 16, wherein the request received from the network function consumer for the analysis related to the at least one extended reality feature includes the application type or the set of applications.

18. The apparatus of any one of claims 16 to 17, wherein the analysis associated with the at least one extended reality feature is determined based on auxiliary information selected by data network name or by individual network slice for the application type or set of applications for a given access.

19. The apparatus of claim 18, wherein the given access includes 3GPP access or non-3GPP access.

20. The apparatus according to any one of claims 1 to 19, wherein: The request for the analysis associated with the at least one extended reality feature is received from the network function consumer using the Nnwdaf service; as well as The analysis associated with the at least one extended reality feature is transmitted to the network function consumer using the nnwdaf service.

21. An apparatus comprising: A component for transmitting requests to network data analysis functions for analysis related to at least one extended reality feature; as well as A component for receiving the analysis related to the at least one extended reality feature from the network data analysis function; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

22. The apparatus of claim 21, wherein the analysis associated with the at least one extended reality feature is based on the following comparison: the analysis determined when the at least one extended reality feature is activated, and the analysis determined when the at least one extended reality feature is deactivated.

23. The apparatus according to any one of claims 21 to 22, wherein the analysis associated with the at least one extended reality feature is based on the following comparison: the analysis determined when the at least one extended reality feature is activated during a time period, and the analysis determined when the at least one extended reality feature is deactivated during the time period.

24. The apparatus according to any one of claims 21 to 23, wherein the at least one extended reality feature is associated with one or more of the following: Protocol data unit set processing, or Low latency, low loss, and scalable throughput, or Congestion information exposed to application functions via the exposed interface, or Multimodal services, or User equipment power saving management, or Policy control based on round-trip delay requirements, or Application function grouping latency requirements.

25. The apparatus according to any one of claims 21 to 24, wherein the analysis associated with the at least one extended reality feature includes one or more of the following: This includes statistical or predictive analysis of extended reality features related to service experience quality, or... An extended reality characteristic indicating the extent to which service quality can be maintained; service quality sustainability analysis, or Indicates extended reality features of congestion analysis for user plane congestion of an application, or Enhancements to existing analysis.

26. The apparatus of any one of claims 21 to 25, wherein the request transmitted to the network data analysis function for the analysis relating to the at least one extended reality feature includes a subscription request for the analysis relating to the at least one extended reality feature.

27. The apparatus according to any one of claims 21 to 26, wherein the analysis associated with the at least one extended reality feature is based on at least one target user device.

28. The apparatus of claim 27, wherein the request transmitted to the network data analysis function for analysis relating to the at least one extended reality feature includes the at least one target user equipment.

29. The apparatus according to any one of claims 27 to 28, wherein the at least one target user equipment comprises one or more of the following: At least one specified user equipment, a specified group of user equipment, or any user equipment, or At least one specified user device, a specified group of user devices, or any user device in which the at least one Extended Reality feature is activated, or At least one specified user device, a specified group of user devices, or any user device in which the at least one Extended Reality feature is deactivated.

30. The apparatus according to any one of claims 21 to 29, wherein the analysis associated with the at least one extended reality feature is based on an application type or a set of applications.

31. The apparatus of claim 30, wherein the request transmitted to the network data analysis function for the analysis relating to the at least one extended reality feature includes the application type or the set of applications.

32. The apparatus of any one of claims 30 to 31, wherein the analysis associated with the at least one extended reality feature is based on auxiliary information selected by data network name or by individual network slice for the application type or the set of applications for a given access.

33. The apparatus of claim 32, wherein the given access includes 3GPP access or non-3GPP access.

34. The apparatus according to any one of claims 21 to 33, wherein: The request for the analysis associated with the at least one extended reality feature is transmitted to the network data analysis function using the Nnwdaf service; and The analysis relating to the at least one extended reality feature is received from the network data analysis function using the Nnwdaf service.

35. An apparatus comprising: A component for receiving, from a network data analysis function, a request for data relating to at least one user device that is activated or deactivated by at least one extended reality feature; as well as Components for transmitting data related to the activation or deactivation of the at least one user device of the at least one extended reality feature to the network data analysis function; The data associated with the at least one user device for which the at least one extended reality feature is activated or deactivated is configured to generate analysis related to the at least one extended reality feature.

36. The apparatus of claim 35, further comprising: A component for forwarding the request to an application function for data related to at least one user device that has been activated or deactivated by at least one extended reality feature; as well as A component for receiving data from the application function related to the at least one user device that is activated or deactivated by the at least one extended reality feature.

37. The apparatus according to any one of claims 35 to 36, further comprising: A component for receiving, from a network exposure function, the request for data relating to at least one user device that has been activated or deactivated by at least one extended reality feature; The request for data related to the at least one user device in which the at least one extended reality feature is activated or deactivated is indirectly received from the network data analysis function via the network exposure function; as well as Components for transmitting data related to the activation or deactivation of the at least one user equipment in relation to the network exposure function; The data associated with the at least one user device whose at least one extended reality feature is activated or deactivated is indirectly transmitted to the network data analysis function via the network exposure function.

38. The apparatus according to any one of claims 35 to 37, wherein: The request for data related to the at least one user device in which the at least one extended reality feature is activated or deactivated is received from the network data analysis function using the Naf service; as well as The data associated with the at least one user device whose at least one extended reality feature is activated or deactivated is transmitted to the network data analysis function using the Naf service.

39. An apparatus comprising: A component for receiving, from a network data analysis function, a request for a user equipment identifier indicating that at least one extended reality feature has been activated or deactivated; as well as Components for transmitting at least one or more of the following to the network data analysis function: a list of user equipment identifiers in which the at least one extended reality feature is activated, or a list of user equipment identifiers in which the at least one extended reality feature is deactivated; Wherein at least one or more of the following are configured to generate the analysis associated with the at least one Extended Reality feature: the list of user device identifiers in which the at least one Extended Reality feature is activated, or the list of user device identifiers in which the at least one Extended Reality feature is deactivated.

40. The apparatus of claim 39, further comprising: A component for receiving from the network data analysis function the request for the activation or deactivation of the user equipment identifier for the application identifier of the at least one extended reality feature; as well as Components for transmitting at least one or more of the following to the network data analysis function: the list of user equipment identifiers for which the at least one extended reality feature is activated for the application identifier, or the list of user equipment identifiers for which the at least one extended reality feature is deactivated for the application identifier; The following are configured to generate the analysis associated with the at least one extended reality feature: the at least one extended reality feature for the list of user device identifiers activated by the application identifier, or the at least one extended reality feature for the list of user device identifiers deactivated by the application identifier.

41. The apparatus according to claim 39 or 40, wherein: The request is received from the network data analysis function using the NPCF service or the NSMF service; and One or more of the lists are transmitted to the network data analysis function using the Npcf service or the Nsmf service.

42. The apparatus of claim 39 or 40, wherein the list of user device identifiers in which the at least one extended reality feature is activated, or the list of user device identifiers in which the at least one extended reality feature is deactivated, is supplemented with information relating to the time when the at least one extended reality feature is activated or deactivated for at least one user device.

43. An apparatus comprising: Components for implementing the at least one extended reality application when at least one extended reality feature of the at least one extended reality application is activated; Components for implementing the at least one extended reality application when the at least one extended reality feature of the at least one extended reality application is deactivated; Components for transmitting data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is activated to network data analysis functions; as well as A component for transmitting data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is deactivated to the network data analysis function.

44. The apparatus of claim 43, wherein the data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated, and the data associated with implementing the at least one extended reality application when the at least one extended reality feature is deactivated, are configured to be used with the network data analysis function to generate analysis, wherein the analysis is determined when the at least one extended reality feature of the at least one extended reality application is activated, or when the at least one extended reality feature of the at least one extended reality application is deactivated.

45. The apparatus according to any one of claims 43 to 44, further comprising: Components for transmitting data associated with implementing the at least one extended reality application when the at least one extended reality feature is activated during the first time period to the network data analysis function; as well as A component for transmitting data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is deactivated during the second time period to the network data analysis function.

46. ​​The apparatus according to any one of claims 43 to 45, further comprising: Maintain the application identifier associated with the at least one extended reality application; The application identifier associated with the at least one extended reality application is configured to be used with the network data analysis function to generate the analysis determined when the at least one extended reality feature of the at least one extended reality application is activated, or when the at least one extended reality feature of the at least one extended reality application is deactivated.

47. The apparatus according to any one of claims 43 to 46, wherein the user equipment includes the apparatus.

48. An apparatus comprising: At least one processor; as well as At least one memory, the at least one memory storing instructions, the instructions, when executed by the at least one processor, cause the device to at least: Receive requests from network function consumers for analysis related to at least one extended reality feature; The analysis is determined in relation to the at least one extended reality feature; as well as The analysis related to the at least one extended reality feature is transmitted to the network function consumer; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

49. An apparatus comprising: At least one processor; as well as At least one memory, the at least one memory storing instructions, the instructions, when executed by the at least one processor, cause the device to at least: Transmit a request to the network data analysis function for analysis related to at least one extended reality feature; as well as Receive the analysis related to the at least one extended reality feature from the network data analysis function; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

50. An apparatus comprising: At least one processor; as well as At least one memory, the at least one memory storing instructions, the instructions, when executed by the at least one processor, cause the device to at least: Receive requests from the network data analysis function for data related to at least one user device that has been activated or deactivated with at least one extended reality feature; as well as Transmit the data related to the at least one user device that is activated or deactivated by the at least one extended reality feature to the network data analysis function; The data associated with the at least one user device for which the at least one extended reality feature is activated or deactivated is configured to generate analysis related to the at least one extended reality feature.

51. An apparatus comprising: At least one processor; as well as At least one memory, the at least one memory storing instructions, the instructions, when executed by the at least one processor, cause the device to at least: Receive a request from the network data analysis function for a user equipment identifier that is activated or deactivated for at least one extended reality feature; as well as Transmit at least one or more of the following to the network data analysis function: a list of user equipment identifiers in which the at least one extended reality feature is activated, or a list of user equipment identifiers in which the at least one extended reality feature is deactivated; At least one or more of the following are configured to generate the analysis associated with the at least one Extended Reality feature: the list of user device identifiers in which the at least one Extended Reality feature is activated, or the list of user device identifiers in which the at least one Extended Reality feature is deactivated.

52. An apparatus comprising: At least one processor; as well as At least one memory, the at least one memory storing instructions, the instructions, when executed by the at least one processor, cause the device to at least: The at least one extended reality application is implemented when at least one extended reality feature of at least one extended reality application is activated; The at least one extended reality application is implemented when the at least one extended reality feature of the at least one extended reality application is deactivated; Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is activated to the network data analysis function; as well as Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is deactivated to the network data analysis function.

53. A method comprising: Receive requests from network function consumers for analysis related to at least one extended reality feature; The analysis is determined in relation to the at least one extended reality feature; as well as The analysis related to the at least one extended reality feature is transmitted to the network function consumer; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

54. A method comprising: Transmit a request to the network data analysis function for analysis related to at least one extended reality feature; as well as Receive the analysis related to the at least one extended reality feature from the network data analysis function; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

55. A method comprising: Receive requests from the network data analysis function for data related to at least one user device that has been activated or deactivated with at least one extended reality feature; as well as Transmit the data related to the at least one user device that is activated or deactivated by the at least one extended reality feature to the network data analysis function; The data associated with the at least one user device for which the at least one extended reality feature is activated or deactivated is configured to generate analysis related to the at least one extended reality feature.

56. A method comprising: Receive a request from the network data analysis function for a user equipment identifier that is activated or deactivated for at least one extended reality feature; as well as Transmit at least one or more of the following to the network data analysis function: a list of user equipment identifiers in which the at least one extended reality feature is activated, or a list of user equipment identifiers in which the at least one extended reality feature is deactivated; At least one or more of the following are configured to generate the analysis associated with the at least one Extended Reality feature: the list of user device identifiers in which the at least one Extended Reality feature is activated, or the list of user device identifiers in which the at least one Extended Reality feature is deactivated.

57. A method comprising: The at least one extended reality application is implemented when at least one extended reality feature of at least one extended reality application is activated; The at least one extended reality application is implemented when the at least one extended reality feature of the at least one extended reality application is deactivated; Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is activated to the network data analysis function; as well as Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is deactivated to the network data analysis function.

58. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: Receive requests from network function consumers for analysis related to at least one extended reality feature; The analysis that determines the at least one extended reality feature; and The analysis related to the at least one extended reality feature is transmitted to the network function consumer; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

59. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: Transmit a request to the network data analysis function for analysis related to at least one extended reality feature; and Receive the analysis related to the at least one extended reality feature from the network data analysis function; The analysis associated with the at least one extended reality feature is based on at least one of the following: the analysis determined when the at least one extended reality feature is activated, or the analysis determined when the at least one extended reality feature is deactivated.

60. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: Receive requests from the network data analysis function for data related to at least one user device that has been activated or deactivated with at least one extended reality feature; as well as Transmit the data related to the at least one user device that is activated or deactivated by the at least one extended reality feature to the network data analysis function; The data associated with the at least one user device for which the at least one extended reality feature is activated or deactivated is configured to generate analysis related to the at least one extended reality feature.

61. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: Receive a request from the network data analysis function for a user equipment identifier that indicates at least one extended reality feature has been activated or deactivated; and Transmit at least one or more of the following to the network data analysis function: a list of user equipment identifiers in which the at least one extended reality feature is activated, or a list of user equipment identifiers in which the at least one extended reality feature is deactivated; At least one or more of the following are configured to generate the analysis associated with the at least one Extended Reality feature: the list of user device identifiers in which the at least one Extended Reality feature is activated, or the list of user device identifiers in which the at least one Extended Reality feature is deactivated.

62. A computer-readable medium comprising instructions stored thereon for performing at least the following operations: The at least one extended reality application is implemented when at least one extended reality feature of at least one extended reality application is activated; The at least one extended reality application is implemented when the at least one extended reality feature of the at least one extended reality application is deactivated; Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is activated to the network data analysis function; as well as Transmit data associated with the implementation of the at least one extended reality application when the at least one extended reality feature is deactivated to the network data analysis function.

Images