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6.3.1 Solution Description
According to the key issue #3, there is a need for EDGE application enablement layer enhance to support energy saving. The services procedures and information flows introduced in 3GPP TS 23.558 [8] for edge services, can be enhanced to support the energy saving requirements. The procedure for EAS discovery as specifie...
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8.5.3.2 EAS discovery request
Table 8.5.3.2-1 describes information elements for the EAS discovery request. Table 8.5.3.2-2 provides further detail about the EAS Discovery Filter information element. Table 8.5.3.2-1: EAS discovery request Information element Status Description Requestor identifier M The ID of the requestor (e.g. EECID) UE I...
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8.2.4 EAS Profile
An EAS Profile includes information about an EAS used to describe services and service characteristics offered. NOTE: Information elements in the EAS Profile are provided by the ASP. Table 8.2.4-1: EAS Profile Information element Status Description EASID M The identifier of the EAS EAS Endpoint M Endpoint ...
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6.3.2 Architecture impacts
Editor’s Note: The architecture impacts of the solution is FFS.
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6.3.3 Solution evaluation
Editor’s Note: The evaluation of the solution is FFS. 6.4 Solution #4: Support of AIMLE client selection based on energy consumption
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6.4.1 Solution Description
This solution addresses Key Issue #4 – open issue #3 on how to use energy consumption information for AIMLE client selection. The solution proposes enhancements to the ML model information management procedure, and to procedures involving AIMLE client selection, to enable the storage and use of energy consumption infor...
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6.4.1.1 Impact to ML model information management
The ML model information management procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.11.4.1 ML model information storage request
Table 8.11.4.1-1 describes the information flow from the AIMLE server to the ML repository or from the AIMLE client/VAL server to the AIMLE server as a request for the ML model information storage. Table 8.11.4.1-1: ML model information storage request Information element Status Description Requestor Identity M ...
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6.4.1.2 Impact to AIMLE client registration
The AIMLE client registration procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.7.2.2 AIMLE client registration
Pre-conditions: 1. The AIMLE client has been pre-configured or has discovered the address (e.g., URI) of the AIMLE server. 2. The AIMLE client has been pre-configured with an AIMLE client profile. Figure 8.7.2.2-1: AIMLE client registration 1. The AIMLE client sends an AIMLE client registration request to the...
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8.7.3.2 AIMLE client registration request
Table 8.7.3.2-1 shows the request sent by an AIMLE client to an AIMLE server for the AIMLE client registration request. Table 8.7.3.2-1: AIMLE client registration request Information element Status Description Requestor identifier M The identifier of the requestor. List of supported profiles M Supported AIML ...
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6.4.1.3 Impact to AIMLE client discovery
The AIMLE client selection procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.8.3.1 AIMLE client discovery request
Table 8.8.3.1-1 shows the request sent by a VAL server to an AIMLE server for the AIMLE client discovery procedure. Table 8.8.3.1-1: AIMLE client discovery request Information element Status Description Requestor identity M The identifier of the requestor (e.g., VAL server). AIMLE client discovery criteria M ...
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6.4.1.4 Impact to AIMLE client selection
The AIMLE client selection procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.9.2.1 AIMLE client selection
Pre-conditions: 1. AIMLE clients that support AI/ML operations have registered with the AIMLE server and included their AIMLE client profiles and optionally a list of supported services. 2. The AIMLE server can access a ML repository to obtain AIMLE client profiles and supported services associated with the AIMLE cli...
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6.4.1.5 Impact to AIMLE client selection subscription
The AIMLE client selection subscription procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.13.2.2 AIMLE client selection subscription and notification
Figure 8.13.2.2-1: AIMLE client selection subscription and notification 1. A VAL server sends an AIMLE client selection subscription request to the AIMLE Server. The AIMLE client selection subscription request includes information as described in Table 8.13.3-1 which includes selection criteria. 2. The AIMLE server...
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6.4.1.6 Impact to AIMLE client participation
The AIMLE client participation procedure and information flows in 3GPP TS 23.482 [10] are enhanced (highlighted in bold italics) as follows.
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8.10.3.1 AIMLE client participation request
Table 8.10.3.1-1 shows the request sent by the AIMLE server to each AIMLE client selected for AIMLE client participation procedure. Table 8.10.3.1-1: AIMLE client participation request Information element Status Description Requestor identity M The identifier of the requestor. AIMLE client set identifier M An...
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6.4.2 Architecture impacts
This clause will provide the architecture impacts of the solution and possible new SA6 capabilities and interfaces.
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6.4.3 Solution evaluation
This clause will provide an evaluation of the solution. The evaluation should include the descriptions of the impacts to existing architectures. 6.5 Solution #5: AIMLE Enhancement of Considering Renewable Energy
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6.5.1 Solution Description
The proposed solution solve the problem listed in KI#1 and KI#4, and proposes to consider renewable energy in AIMLE. As indicated in 3GPP TS 28.310 [4], the renewable energy and renewable energy factor have the following definitions: Renewable energy: energy from renewable non-fossil sources. NOTE 15: This definitio...
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6.5.2 Architecture impacts
In this solution, it doesn’t change the overall architecture of Application enablement architecture of AIMLE in section 5 of 3GPP TS 23.482 [10]. But the following enhancements are added: - The FL member can register itself of the new capability that support renewable energy supply. - The subscriber can be notified w...
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6.5.3 Procedure
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6.5.3.1 Procedure of FL member registration procedure
This procedure is the same as the procedure in section 8.4.2 of 3GPP TS 23.482 [10] with the following enhancement:
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8.4.2 Procedure on FL member registration
Figure 8.4.2-1 illustrates the procedure where the registration of a candidate FL member happens via the ML repository, serving as AIML service registry. Figure 8.4.2-1: Procedure for registration on FL member registry 1. The candidate FL member (e.g., VAL server via AIMLE server or AIMLE server) sends an FL m...
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6.5.3.2 Procedure of FL-related event subscription of renewable energy
This procedure is the same as the procedure in section 8.5.2 of 3GPP TS 23.482 [10] with the following enhancement:
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8.5.2 Procedure on subscription for FL related events
This procedure, as illustrated in Figure 8.5.2-1, describes the subscription for events related to FL member availability. Pre-conditions: 1. The AIMLE server has the authorization to subscribe for the FL-related events (events described in clause 8.5.4). Figure 8.5.2-1: Procedure for FL-related event subscriptio...
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6.5.3.3 Procedure of member selection during ML model training considering renewable energy
This procedure is the same as the procedure in section 8.3.2 of 3GPP TS 23.482 [10] with the following enhancement:
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8.3.2 Procedure for ML model training
Figure 8.3.2-1 illustrates the procedure for AIMLE server to support ML model training based on the request from the VAL server. Figure 8.3.2-1: ML model training 1. The VAL server sends an ML model training request to AIMLE server, requesting to assist in its ML model training. This request consists of ML model in...
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6.5.4 Solution evaluation
Editor’s Note: This part is for further update in the future. 6.6 Solution #6: Support of ADAE analytics for AI/ML energy consumption
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6.6.1 Solution Description
This solution addresses Key Issue #4 – open issue #1 on how to collect and use energy consumption data. The solution proposes a new ADAE service procedure in 3GPP TS 23.436 [11] to support AI/ML energy consumption analytics.
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6.6.1.1 Procedure
Figure 6.6.1.1-1 illustrates the procedure for a consumer (e.g., VAL server, AIMLE server) to subscribe for AI/ML energy consumption analytics generated from data collected from VAL UEs while the VAL UEs are performing AI/ML operations. Pre-conditions: 1. ADAE Client (ADAEC) is connected to the ADAE Server (ADAES). ...
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6.6.1.2 Information flows
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6.6.1.2.1 AI/ML energy consumption analytics subscription request
Table 6.6.1.2.1-1 describes the information flow from the consumer (e.g. VAL server, AIMLE server) as a request or update request for AI/ML energy consumption analytics. Table 6.6.1.2.1-1: AI/ML energy consumption analytics subscription request Information element Status Description Requestor ID M The identifier...
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6.6.1.2.2 AI/ML energy consumption analytics subscription response
Table 6.6.1.2.2-1 describes the information elements for the AI/ML energy consumption analytics subscription response from the ADAES to the consumer. Table 6.6.1.2.2-1: AI/ML energy consumption analytics subscription response Information element Status Description Result M The result of the analytics subscriptio...
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6.6.1.2.3 AI/ML energy consumption analytics notification
Table 6.6.1.2.3-1 describes the information flow from the ADAES to the consumer (e.g. VAL Server, AIMLE Server) as a notification for the AI/ML energy consumption analytics. Table 6.6.1.2.3-1: AI/ML energy consumption analytics notification Information element Status Description Subscription ID M The identifier ...
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6.6.1.2.4 AI/ML energy consumption data collection subscription request
Table 6.6.1.2.4-1 describes information elements for the AI/ML energy consumption data collection subscription request from the ADAES to the ADAEC. Table 6.6.1.2.4-1: AI/ML energy consumption data collection subscription request Information element Status Description Requestor ID M The identifier of the consumer...
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6.6.1.2.5 AI/ML energy consumption data collection subscription response
Table 6.6.1.2.5-1 describes information elements for the AI/ML energy consumption data collection subscription response from the ADAEC to the ADAES. Table 6.6.1.2.5-1: AI/ML energy consumption data collection subscription response Information element Status Description Result M The result of the AI/ML energy con...
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6.6.1.2.6 AI/ML energy consumption data notification
Table 6.6.1.2.6-1 describes information elements for the AI/ML energy consumption data notification from the ADAEC to the ADAES. Table 6.6.1.2.6-1: AI/ML energy consumption data collection notification Information element Status Description Subscription ID M The identifier for the subscription. Data Collection ...
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6.6.2 Architecture impacts
This clause will provide the architecture impacts of the solution and possible new SA6 capabilities and interfaces.
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6.6.3 Solution evaluation
This clause will provide an evaluation of the solution. The evaluation should include the descriptions of the impacts to existing architectures. 6.7 Solution #7: ADAES Support for AIMLE client energy sustainability analytics
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6.7.1 Solution Description
This solution introduces a new analytics event for “AIMLE client energy sustainability analytics” as requested from the Consumer who can be the VAL Server or AIMLE server to the ADAES. These analytics may be used for predicting whether an AI/ML client at the VAL UE can be considered a candidate in a ML training or infe...
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6.7.2 Architecture impacts
This clause will provide the architecture impacts of the solution and possible new SA6 capabilities and interfaces.
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6.7.3 Solution evaluation
This clause will provide an evaluation of the solution. The evaluation should include the descriptions of the impacts to existing architectures. 6.8 Solution #8: Network Slice Energy Optimization based on Energy Saving VAL Server Policy
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6.8.1 Solution Description
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6.8.1.0 General
This solution does not add new procedure. Instead, it proposes introducing a new VAL server policy in clause 9.5, 'Network slice optimization based on VAL server policy', 3GPP TS 23.435 [13]. The new policies enable NSCE server performs slice modifications based on monitoring energy-related information, such as energy ...
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6.8.1.1 Procedure
Figure 6.8.1.1-1 outlines the procedure, where Steps 1-4 represent existing operations. Step 5 introduces a new function in which the NSCE server monitors energy-related information for a network slice. Step 6 involves the NSCE server taking action to adjust the slice, either to conserve energy or to encourage the use ...
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6.8.1.2 Information Flows
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6.8.1.2.1 General
The following information flows are specified for VAL server policy.
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6.8.1.2.2 Policy of Reducing Energy Consumption
Table 6.8.1.2.2-1 shows the request sent by a consumer to an NSCE server for VAL server policy provisioning procedure. Table 6.8.1.2.2-1: Policy of reducing energy consumption Information element Status Description Policy O Reduce Energy Consumption >Area of interest M The service area for which the policy pr...
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6.8.1.2.3 Policy of Promoting renewable energy consumption
Table 6.8.1.2.3-1 shows the request sent by a consumer to an NSCE server for VAL server policy provisioning procedure. Table 6.8.1.2.3-1: Policy of Promoting renewable energy consumption Information element Status Description Policy O Promote renewable energy usage >Area of interest M The service area for whi...
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6.8.2 Architecture impacts
Editor’s Note: The architecture impacts of the solution is FFS.
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6.8.3 Solution evaluation
Editor’s Note: The evaluation of the solution is FFS. 6.9 Solution #9: Enhancements to ADAE DN Energy Efficiency Analytics
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6.9.1 Solution Description
In 3GPP TS 23.436 [11], the DN Energy Efficiency analytics, ADAES provides analytics on the energy consumption /efficiency of an edge platform (including the EESs / EASs). The DN energy analytics is performed per DNN/ DNAI and may be used to trigger the application server migration to different cloud. The analytics are...
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8.18 Procedure for supporting DN Energy Efficiency analytics
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8.18.1 General
This clause describes the procedure for DN energy consumption/efficiency analytics, where the analytics are performed based on data collected from one or more DNs and A-ADRF.
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8.18.2 Procedure
Figure 8.18.2-1 illustrates the procedure for DN energy efficiency analytics enablement solution. Pre-conditions: 1. Data producers (e.g. A-ADRF, EAS, EES) may be pre-configured with data producer profiles (as in Table 8.2.4.8-1) for the data they can provide. ADAES has discovered available data producers and their ...
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8.18.3 Information flows
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8.18.3.1 General
The following information flows are specified for DN energy analytics based on clause 8.18.2.
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8.18.3.2 DN energy analytics request/subscription request
Table 8.18.3.2-1 describes information elements for the DN energy analytics request/subscription request from the VAL server to the ADAE server. Table 8.18.3.2-1: DN energy analytics request/subscription request Information element Status Description Analytics Consumer ID M The identifier of the analytics consum...
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8.18.3.3 DN energy analytics response/notification
Table 8.18.3.3-1 describes information elements for the DN energy analytics response/notification request from the VAL server to the ADAE server to the VAL server (or to the notification endpoints provided in the request/subscription request). Table 8.18.3.3-1: DN energy analytics response/notification Information el...
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8.18.3.4 Response to DN energy analytics request
Table 8.18.3.4-1 describes information elements for the ADAES responses to the analytics request to the consumer (e.g. VAL server). Table 8.18.3.4-1: Response to DN energy analytics request Information element Status Description Successful response (NOTE) O (NOTE) Indicates that the request was successful. > S...
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6.9.2 Architecture impacts
Editor’s Note: The architecture impacts of the solution is FFS.
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6.9.3 Solution evaluation
Editor’s Note: The evaluation of the solution is FFS. 6.10 Solution #10: Support of energy saving for location services
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6.10.1 Solution description
This solution addresses the KI#6. The following are the procedures to introduce how LMS subscribes the energy related information analysis from ADAES (clause 6.10.1.1) and how LMS utilizes the obtained energy related information analysis to reduce the energy consumption for the location services (clause 6.10.1.2).
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6.10.1.1 Procedure of LMS subscription for the energy related information analysis
Figure 6.10.1.1-1 illustrates the high-level procedure of the LMS subscription for the energy related information analysis. The LMS may subscribe to the ADAES for the analysis of energy related information. Figure 6.10.1.1-1: Procedure of LMS subscription for the energy related information analysis 1. LMS may ...
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6.10.1.2 Procedure of LMS adjusting the location reporting configuration to save the energy
Figure 6.10.1.2-1 illustrates the high-level procedure of LMS adjusting the location reporting configuration to save the energy consumption. Figure 6.10.1.2-1: Procedure of LMS adjusting the location reporting configuration to save the energy 1. Similar with step 1 of clause 9.3.5 in 3GPP TS 23.434 [14], the VA...
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6.10.2 Architecture Impacts
This solution has no impact on the existing architecture.
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6.10.3 Solution evaluation
This clause provides an evaluation of the solution. The evaluation should include the descriptions of the impacts to existing architectures. 6.x Solution #x: <Title> Provide a suitable title for the solution. 6.x.1 Solution Description This clause will provide the description of the solution. Each solution should c...
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7 Overall Evaluation
This clause will provide evaluation of different solutions.
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8 Conclusions
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8.1 General conclusions
This clause will provide general conclusions for the study. 8.2 Conclusions of key issue #x This clause will provide conclusions for the specific key issue. Annex A (informative): Change history Change history Date Meeting TDoc CR Rev Cat Subject/Comment New version 2025-08 SA6#68 TR skeleto...
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1 Scope
The present document investigates further enhancements to the capabilities of IMS data channel (DC), specifically in the areas of ADC establishment in alerting phase, IMS capability exposure and dynamic configuration of MDC2 endpoints.
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2 References
The following documents contain provisions which, through reference in this text, constitute provisions of the present document. - References are either specific (identified by date of publication, edition number, version number, etc.) or non‑specific. - For a specific reference, subsequent revisions do not apply. -...
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3 Definitions of terms, symbols and abbreviations
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3.1 Terms
For the purposes of the present document, the terms given in TR 21.905 [1] and the following apply. A term defined in the present document takes precedence over the definition of the same term, if any, in TR 21.905 [1]. Definition format (Normal) <defined term>: <definition>. example: text used to clarify abstract r...
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3.2 VOID
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3.3 Abbreviations
For the purposes of the present document, the abbreviations given in TR 21.905 [1] and the following apply. An abbreviation defined in the present document takes precedence over the definition of the same abbreviation, if any, in TR 21.905 [1]. A2P Application to Person ADC Application Data Channel API Application P...
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4 Architectural Assumptions and Requirements
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4.1 Architectural Assumptions
The following Architectural Assumptions are applicable to this Study: - The IMS and IMS DC architecture defined in TS 23.228 [2] is used as the basis for any enhancements. - An AS may be trusted or untrusted. - The functionality of existing standardized APIs (e.g. OMA APIs) exposing MMTEL services may be used where ...
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5 Key Issues
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5.1 Key Issue #1: ADC establishment in alerting phase for early media
This key issue will investigate how to support IMS application data channel establishment in alerting phase to provide early media for a normal IMS DC session. This Key Issue will study: - Whether and how the capability of supporting ADC establishment in alerting phase is exchanged between UE and IMS network. - How ...
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5.2 Key Issue #2: Enhancements to capability exposure framework for eMMTel services
This Key Issue will investigate how to enhance IMS capability exposure framework to expose IMS capability for eMMTel services (voice/video) and related events besides Data Channel, supporting IMS session establishment, modification and release to enable eMMTel services that may require enhancing audio/video services wi...
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5.3 Key Issue #3: Supporting dynamic configuration of MDC2 endpoints
This Key Issue will investigate whether and how to define interfaces between DCSF and NEF/AF to complete existing P2A/P2A2P Data Channel procedures by specifying DC3/DC4 interfaces to enable dynamic configuration of MDC2 endpoints. This Key Issue will study: - the services and information elements that are exposed vi...
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6 Solutions
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6.0 Mapping of Solutions to Key Issues
Table 6.0-1: Mapping of Solutions to Key Issues Key Issues Solutions KI#1 KI#2 KI#3 #1 X #2 X #3 X #4 X #5 X #6 X #7 X #8 X #9 X 10 X 11 X 12 X 13 X 14 X 15 X 16 X 17 X
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6.1 Solution #1: ADC establishment in alerting phase initiated by the UE
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6.1.0 High-level solution Principles
This solution addresses Key Issue #1: DC establishment in alerting phase for early media. The solution reuses Rel-19 TS 23.228 [2] with the addition that - Based on the UE request (via a specific root URL) , the DSCF sends to the UE(s) an application list related with the alerting phase- The calling party receive BD...
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6.1.1 Description
This solution provides a procedure on how to establish a P2A ADC in alerting phase. Editor's note: Current version of the solution supports P2A ADC establishment in alerting phase. it is FFS whether it can support other forms of ADC, i.e. P2A2P and P2P.
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6.1.2 Procedure
The pre-condition of ADC establishment in alerting phase is the capability negotiation during the IMS registration phase on whether the UE supports the DC in alerting phase. Based on the IMS DC capability negotiation defined in clause AC.7.0 of TS 23.228 [2], when the UE supporting DC in alerting phase and the UE is a...
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6.1.3 Impacts on Services, Entities and Interfaces
The solution has the following impacts: UE: - supporting retrieving DC application list and DC application for alerting phase; this includes providing a specific URL to get from DCSF the application list for alerting phase, - supporting ADC establishment in alerting phase. IMS AS: - supporting negotiation of ADC i...
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6.2 Solution #2: Support for NW initiated data channel application in early media session with subscription
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6.2.1 High level principles
This solution has the following high level principles, in order to support IMS data channel application in early media session: - Data Channel Application in Alerting Phase (DCAP) service can be configured by the user and stored in the HSS as part of the subscription data. - IMS AS triggers the application data chann...
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6.2.2 Description
This is a solution for Key issue #1 " DC establishment in alerting phase for early media". The user of UE#2 is able to subscribe to the Data Channel Application in Alerting Phase (DCAP) service, including activate (or de-activate) the service and update the settings, e.g. to change by configuration the active data cha...
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6.2.3 Procedures
The overall procedures of data channel establishment in early media phase are illustrated in figure 6.2.3-1. Figure 6.2.3-1: ADC establishment in early media phase 0. The user of UE#2 subscribes Data Channel Application in Alerting Phase (DCAP) service to his/her serving IMS network. The data channel application to...
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6.2.4 Impacts to Services, Entities and Interfaces
UE: - Indicates supporting of early media session in SIP INVITE message, as specified in existing specification, e.g. TS 24.229 [6]. - Supports application data channel in the early session. - Notifies user the requested data channel application in early session. HSS: - Supports management of user subscription for...
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6.3 Solution #3: IMS ADC establishment during alerting phase when initial INVITE does have BDC offer
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6.3.0 High-level solution Principles
The main principle of this solution for support of application data channel establishment during alerting phase of normal IMS DC session as follows: - The calling party will receive bootstrap data channel offer from the terminating network during alerting phase. - The calling party will establish the bootstrap data c...
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6.3.1 Description
This paper proposes solution for supporting application data channel establishment during alerting phase when calling party has offered bootstrap data channel in the initial INVITE. In this proposal, the calling party and the called party will establish bootstrap data channel(s), download application or application li...