On the Performance Tradeoff of an ISAC System with Finite Blocklength
Xiao Shen, Na Zhao, and Yuan Shen

TL;DR
This paper analyzes the fundamental performance tradeoff between sensing and communication in a SISO ISAC system with finite blocklength, deriving bounds and asymptotic behavior to guide system design.
Contribution
It introduces the rate-error tradeoff as a key metric, derives bounds, and analyzes the asymptotic behavior of the tradeoff in finite blocklength ISAC systems.
Findings
Achievability and converse bounds for the rate-error tradeoff are established.
The performance tradeoff diminishes as blocklength increases, approaching zero asymptotically.
Simulation results validate the theoretical bounds and asymptotic analysis.
Abstract
Integrated sensing and communication (ISAC) has been proposed as a promising paradigm in the future wireless networks, where the spectral and hardware resources are shared to provide a considerable performance gain. It is essential to understand how sensing and communication (S\&C) influences each other to guide the practical algorithm and system design in ISAC. In this paper, we investigate the performance tradeoff between S\&C in a single-input single-output (SISO) ISAC system with finite blocklength. In particular, we present the system model and the ISAC scheme, after which the rate-error tradeoff is introduced as the performance metric. Then we derive the achievability and converse bounds for the rate-error tradeoff, determining the boundary of the joint S\&C performance. Furthermore, we develop the asymptotic analysis at large blocklength regime, where the performance tradeoff…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Stability and Control of Uncertain Systems · Energy Harvesting in Wireless Networks
