Power Minimization for Integrated Sensing, Communication, and Power Transmission Systems

As the Internet of Things (IoT) continue to advance, the integration of massive devices into wireless networks for communication, sensing, and energy harvesting tasks is becoming increasingly prevalent. This trend has led to the emergence of Integrated Sensing, Communication, and Power Transmission (ISCPT) systems. However, with the proliferation of functionalities within these systems, power consumption has become a critical concern. In this letter we aim to minimize power consumption by optimizing transmit beamforming while ensuring quality of service (QoS), meeting the Cramér–Rao bound (CRB) for radar target sensing accuracy, subject to energy harvesting constraints. To solve the non-convex problem, semidefinite relaxation (SDR) is proposed. Numerical results show that our proposed algorithm can reduce power consumption and satisfy the QoS and CRB constraints.