Keynote Speaker

Talk Title: 

Sensing With Random Communication Signals

Abstract

To maximize the efficiency of wireless resource utilization, 6G integrated sensing and communication (ISAC) systems must exploit the inherently random communication data payloads to serve both sensing and communication functions. Thistalk provides a comprehensive technical overview of signal processing methodologies for sensing with random communication signals. We begin by revisiting the deterministic-random tradeoff (DRT), highlighting the necessity for specialized processing techniques tailored to random ISAC signals. Building upon this foundation, we review the core signal models and processing pipelines underpinning communication-centric ISAC systems. A particular focus is given to analyzing the average squared auto-correlation function (ACF) of random ISAC signals, a key performance metric for multi-target ranging tasks. Drawing insights from these theoretical results, we outline the design principles for three critical components: modulation schemes, constellation design, and pulse shaping filters. The overarching goal is to enhance sensing capability without compromising communication efficiency, or to enable a scalable tradeoff between the two. The talk concludes by highlighting open challenges and future research directions for advancing sensing with communication signals in 6G-era networks.