Isac slicing performance shaped by sensing resolution and sensor deployment
Performance Analysis of ISAC Slicing with Sensing-Assisted Communication and Communication-Assisted Sensing
Networking and Internet Architecture
Summary
Modern networks aim to handle both sensing (like detecting objects) and communication (like phone calls) using the same resources. This paper looks at how mixing these two services affects how well they work together, especially when they help each other out. The authors study how splitting resources for sensing and communication impacts overall network performance and find that the detail level of sensing and the number of sensors greatly influence the results. Their findings help guide future network designs that combine sensing and communication efficiently.
What this means in practice
- •For network operators: Optimize resource distribution in 6G networks to meet different sensing and communication service agreements by balancing sensor deployment and bandwidth.
- •For telecommunications infrastructure planners: Design sensor deployments and bandwidth allocations that improve joint sensing and communication performance in integrated 6G systems.
Authors
Daniel Campos, Jacek Kibilda
Abstract
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.