SESO-ISAC：面向6G ISAC的服务感知端到端感知编排
SESO-ISAC: Service-Aware End-to-End Sensing Orchestration for 6G ISAC
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中文总结 AI 辅助
提出SESO-ISAC框架，实现6G ISAC服务感知的端到端感知编排，通过捕捉配置间依赖并动态评估，优化整体QoS性能。
中文摘要 AI 辅助
与传统的通信服务不同，6G集成感知与通信（ISAC）服务需要完整的端到端感知操作，涵盖从数据采集、处理、结果生成到结果暴露的全过程。在本文中，我们提出了SESO-ISAC，一种服务感知的端到端感知编排框架，该框架在感知执行上下文下将感知服务请求映射为完整的感知配置。SESO-ISAC并非独立地做出感知配置决策，而是捕捉端到端感知操作中配置之间的相互依赖关系，根据适用的服务质量（QoS）要求评估候选配置，并在感知执行上下文变化时重新评估所选配置。通过两个代表性案例研究，我们表明，优选的感知配置取决于适用QoS维度上的整体性能，并且可能在操作过程中发生变化。
英文摘要
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.
发表机构
- LG Electronics（LG电子）
- Korea University（韩国大学）
机构由 AI 辅助整理，请以论文原文为准。
