Rotatable Antenna-Enabled Integrated Sensing, Communication, and Computing

Abstract

Integrated sensing, communication, and computing (ISCC) is a promising paradigm for future sixth-generation (6G) networks. However, existing ISCC systems rely on fixed-antenna architectures, which limit spatial degrees-of-freedom (DoFs) and adaptability in dynamic wireless environments. In this paper, we investigate a rotatable antenna (RA)-enabled ISCC system, where antenna boresight directions can be flexibly adjusted to enhance communication and sensing performance. We consider an uplink RA-ISCC framework with vehicle terminals, a sensing target, an RA-equipped base station, and a mobile edge computing (MEC) server. We aim to minimize the maximum latency among vehicles by jointly optimizing MEC computing resources, receive beamforming, probing covariance, and RA pointing. To solve the resulting non-convex problem, we develop an alternating optimization framework, where variables are updated via onedimensional search, MMSE-based beamforming, closed-form covariance design, and fractional programming with successive convex approximation. Simulation results show that the proposed scheme significantly reduces maximum latency compared with benchmark schemes.