Advanced Closed-Loop Method with Limited Feedback for ISAC

TL;DR

This paper presents SSF, a limited-feedback framework for 6G ISAC networks that improves sensing quality and key performance metrics while maintaining communication efficiency through adaptive feedback mechanisms.

Contribution

Introduction of SSF, a novel limited-feedback approach that enhances sensing capabilities and robustness in ISAC systems without compromising communication performance.

Findings

SSF significantly improves sensing quality.

SSF enhances probability of detection, latency, and power efficiency.

SSF provides robust, low-overhead feedback for diverse ISAC applications.

Abstract

6G wireless networks are poised to seamlessly integrate communication, computing, localization, and sensing functionalities, ensuring high reliability and trustworthiness. This paper introduces Smart Sensing Feedback (SSF), a limited-feedback framework designed to enhance sensing capabilities while maintaining communication performance. SSF adapts the concept of retransmission from communication to sensing. Specifically, we focus on downlink (DL) bistatic sensing, where the User Equipment (UE) performs measurements from reflected sensing signals and provides feedback to the network (NW). In sensing services, UE reporting can vary significantly due to dynamic factors such as target characteristics, environmental conditions, and UE status. Our results demonstrate that SSF significantly improves sensing quality while preserving communication efficiency. Additionally, it enhances key performance metrics such as probability of detection, latency, and power consumption. These improvements underscore SSF's ability to deliver robust, low-overhead feedback and adaptability to support a wide range of ISAC applications.