Integrating Sensing, Energy, and Communication in 6G Wireless Networks

This paper proposes a framework for integrating sensing, energy, and communication (ISEAC) in a single system. Specifically, the base station (BS) transmits the same signals to the information receivers (IRs), energy harvesting receivers (ERs), and sensing nodes. We aim to optimize the transmission beamforming to minimize the Cramér-Rao bound (CRB) while guaranteeing the performance of the IRs and ERs. We then solve this optimization problem by employing the semidefinite relaxation (SDR) method and Gaussian randomization algorithm. We provide a suboptimal solution with the closed-form solution for the special case with a single IR and a single ER. Finally, simulation results demonstrate the effectiveness of the proposed optimal beamforming design.