发表机构
Commonwealth Cyber Initiative, Virginia Tech（弗吉尼亚理工大学联邦网络倡议）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文分析ISAC切片性能，考虑SAC和CAS及资源分配与传感器密度，通过模拟揭示感知分辨率、需求和部署的影响，为设计提供见解。
AI 中文摘要
集成感知与通信（ISAC）将使6G网络能够通过共享基础设施和频谱资源提供感知和通信服务。然而，网络切片将这些服务视为具有不同目标和性能要求的独立切片，将不可避免地错过集成它们所带来的新兴价值。通过考虑感知辅助通信（SAC）和通信辅助感知（CAS），这两种方式在服务之间建立了相互依赖关系，我们可以观察到为支持每个切片而配置的资源之间的权衡，并最终观察到ISAC切片的性能。因此，本文提出了一个ISAC切片框架的性能分析，该框架考虑了资源分配和传感器密度，以及SAC和CAS，其配置旨在实现特定于切片的服务级别协议（SLA）满意度。跨不同带宽分配、传感器部署和需求场景的数值模拟表明，ISAC切片性能从根本上受到感知分辨率的限制，受需求影响，并随传感器部署而扩展。这些发现为未来ISAC切片机制的设计提供了见解。
英文摘要
Integrated Sensing and Communication (ISAC) will allow 6G networks to provide both sensing and communication services through shared infrastructure and spectrum resources. However, network slicing that views these services as distinct slices with distinct objectives and performance requirements will inevitably miss the emergent value of integrating them. By considering Sensing-Assisted Communication (SAC) and Communication-Assisted Sensing (CAS), which create interdependencies between services, we can observe trade-offs in resources dimensioned to support each slice and, ultimately, the ISAC slicing performance. As such, this paper proposes a performance analysis of an ISAC slicing framework that accounts for resource allocation and sensor density, as well as SAC and CAS, dimensioned to achieve slice-specific Service-Level Agreement (SLA) satisfaction. Numerical simulations, across different bandwidth allocations, sensor deployments, and demand scenarios, show that ISAC slicing performance is fundamentally constrained by sensing resolution, shaped by demand, and scaled by sensor deployment. These findings provide insights for the design of future ISAC slicing mechanisms.
CommentsPaper accepted to be published in the IEEE ISAC 2026 conference. 6 pages, 4 figures, 1 table
