Integrated Sensing and Communication Mechanism Based on B5G/6G Reference Signals

Integrated Sensing and Communication (ISAC) is a key enabler for 6G, aiming to equip wireless networks with sensing capabilities to support applications, such as intelligent transportation and digital twins. However, the present reference signal (RS)-based ISAC mechanisms are unable to strike a balance among sensing accuracy, coverage, and communication quality of service (QoS). This paper investigates the ISAC schemes based on B5G/6G RSs.. Firstly, we propose a multi-signal fusion and cooperative architecture to overcome sparse signal placement and enhance sensing coverage and resolution without degrading communication quality. On this basis, we develop robust parameter estimation algorithms to address challenges including low signal-to-noise ratio (SNR), limited observation samples, and range-velocity ambiguity, significantly improving sensing performance. This demonstrates the feasibility of efficient RS-based ISAC strategies, providing a technically viable and theoretically sound approach for the integration of communication and sensing in 6G.