RSMA-Enabled Integrated Sensing, Communication, and Computation for IoT: Joint Transceiver Beamforming and Power Allocation

This letter proposes a rate-splitting multiple access (RSMA)-enabled integrated sensing, communication, and computation (ISCC) framework for the Internet of Things (IoT), in which a tri-functional base station (BS) simultaneously supports target detection, data transmission, and edge computing. By jointly optimizing the transceiver beamforming at the BS and the power allocation for uplink user equipment, a weighted sum of minimum user rates (WSMR) maximization problem is formulated to capture the fundamental trade-offs among these capabilities. To tackle the non-convex problem, an efficient two-layer iterative algorithm is developed, incorporating sequential rank-one constraint relaxation (SROCR), linear constrained minimum variance (LCMV), and surrogate-based optimization procedure (SBOP). Numerical results validate the effectiveness of the proposed algorithm and further demonstrate its superiority in suppressing inter-functionality and inter-user interference compared to baseline schemes.