Problem
Research questions and friction points this paper is trying to address.
6G ISAC
end-to-end sensing
sensing orchestration
QoS requirements
SESO-ISAC: Service-Aware End-to-End Sensing Orchestration for 6G ISAC
🤖 AI Summary
本文提出SESO-ISAC框架，针对6G ISAC服务需求，通过端到端感知操作的协同配置与动态评估，优化服务质量。
📝 Abstract
Unlike conventional communication services, 6G Integrated Sensing and Communication (ISAC) services require complete end-to-end sensing operations, from data collection to processing, result generation, and exposure. In this article, we propose SESO-ISAC, a service-aware end-to-end sensing orchestration framework that maps a sensing service request to a complete sensing configuration under the sensing execution context. Rather than treating sensing configuration decisions independently, SESO-ISAC captures their interdependence across the end-to-end sensing operation, evaluates candidate configurations according to the applicable QoS requirements, and re- evaluates the selected configuration as the sensing execution context changes. Through two representative case studies, we show that the preferred sensing configuration depends on the overall performance across the applicable QoS dimensions and can change during operation.
Innovation
Methods, ideas, or system contributions that make the work stand out.
SESO-ISAC
end-to-end sensing orchestration
service-aware
sensing execution context
QoS requirements
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