Scalable joint design for repeater-assisted ISAC

Develop scalable signal-processing and resource-allocation frameworks for repeater-assisted integrated sensing and communication that jointly account for coupled hardware effects, communication and sensing objectives, channel tracking, training overhead, and computational complexity.

Background

Repeater-assisted integrated sensing and communication systems amplify useful signals together with thermal noise, clutter, interference, and hardware distortion. Their operation is further coupled with repeater activation and gain, duplexing, access-point precoding and combining, synchronization, channel training, and the choice of whether access points and repeaters support communication, sensing, or both.

User mobility and target dynamics require continuous tracking of access-point–repeater–user and access-point–repeater–target channels. At the same time, dense repeater deployments increase training overhead and computational complexity. The paper therefore identifies the need for scalable frameworks that jointly handle these effects rather than optimizing communication, sensing, hardware, and network components independently.