| 2026-06-13 | Work Programme | Version 2.3.3 |
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Work Item Reference | ETSI Doc. Number |
STF | Technical Body in Charge |
Standard Not Ready For Download |
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| DGR/ISC-008 | GR ISC 008 | ISAC | |||||
| Current Status (Click to View Full Schedule) |
Latest Version |
Cover Date | Standstill | Creation Date | |||
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View Standstill Information | 2025-12-18 | |||||
| Rapporteur | Technical Officer | Harmonised Standard | |||||
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Gordon Young
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Gabriele Perrone
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No | |||||
| Title |
Integrated Sensing And Communications (ISAC) AIML and Data Handling AIML and Data Handling for ISAC |
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Scope and Field of Application |
In general for AIML or Data Framework for 3GPP 6G ISAC, solutions should capture enhancements addressing the above areas for efficient 6G network performance with secure, robust and accurate sensing results, covering aspects such as data acquisition, data processing, data fusion and data compression (including e.g. AI or semantic compression techniques). 1) Identify the key issues regarding enhanced 6G ISAC operation - relating to 6G system sensing data handling and processing through adoption of AIML or advanced data processing techniques (e.g. multi-modal data fusion, handling of ISAC related data volume). - Use of processed sensing data to enhance 6G systems e.g. data for 6G system AI model training, enhanced AI security - Trigger of AI processing (e.g. prior processing or events or triggers e.g. including as a result of computation, AI or environmental triggers) 2) Study potential solutions for the identified key issues, clarify aspects of the respective solutions that address the key issues. Solutions should where possible consider compatibility with a current understanding of 6G architectural considerations for ISAC deployment as appropriate. - Capture solution framework required for the proposed solutions including details pertaining to the solution which demonstrate relation to ISAC in 6G system, or ISAC with AI frameworks e.g. not generic or general vertical behaviour for said solutions. - Capture key benefits and where identified, related dependency aspects or associated requirements that are necessary to deliver or maintain the identified benefits for ISAC 3) For the identified solutions capture as appropriate aspects for AIML model management (specific to sensing) and/or related sensing data handling solution management, including high data volumes e.g. Semantic compression, AI data compression, etc.. In particular capture aspects specifically related to ISAC in 6G adoption, including but not limited to, – AIML model lifetime management – AIML model performance monitoring, – AIML model version control, verification, updating and distribution, – Training data – e.g. data set identification, validation – Data handling solution management e.g. Semantic Knowledge base management 4) Identify protocol enablers including e.g. QoS enablers, as required to support adoption of proposed solutions for ISAC in 6G, including but not limited to: – For sensing data or results and applicable associated sensing data for solutions to ensure sensing service operations and sensing performance (e.g. at decoder), e.g. data modality including data types and data formats, synchronisation requirements, QoS parameters – External exposure e.g. API requirements |
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Supporting Organizations |
Anritsu EMEA Ltd, EURECOM, Mitsubishi Electric RCE, AUMOVIO, Vestel, Apple France, HUAWEI TECH. GmbH, InterDigital, Europe, Ltd., Turk Telekomunikasyon A.S., Barkhausen Institut, Beijing Xiaomi Mobile Software | ||||||
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Keywords | Projects | Clusters | Frequencies | Mandates | Directives | ||||||||||
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6G AI data management data processing ISAC |
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| Official Journal |
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| Remarks |
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