Integration of Sensing, Communication, and Computing: A Multi-Objective Sensing Edge Computing Design in Power loT

With the large-scale development of the power internet of things (PloT), the demand for data collection and processing is also increasing rapidly. Integrated sensing and communication (ISAC) is the key to problem-solving. In this paper, we consider ISAC devices capable of simultaneously sensing multiple targets and offloading the collected sensing data to mobile edge servers (MEC) for edge computing. To this end, we propose a joint optimization problem that maximizes the total computation rate by optimizing radar sensing beamforming, offloading transmission beamforming, and computation rate. Due to the coupling of variables, the optimization problem becomes non-convex. To address this, we perform quadratic transformations on non-convex constraints and introduce residuals to improve the convergence speed of the algorithm. Simulation results demonstrate that the proposed algorithm achieves higher computation rate compared to baseline algorithms.