Joint beamforming design for full-duplex wireless powered over-the-air computation systems with self-energy recycling

For over-the-air computation (AirComp) systems, energy-constrained sensors become a bottleneck to improve the performances. To address this issue, in this letter, a full-duplex (FD) wireless powered AirComp system with self-energy recycling is proposed, where all the nodes operate in the FD mode and the sensors can harvest energy from the hybrid access point (HAP)' signal and it's own transmit signal by self-energy recycling. A joint beamforming design problem is formulated and an effective iterative algorithm is proposed to solve the non-convex optimization problem, aiming to minimize the computation mean square error at the HAP under the transmit power constraints of the HAP and sensors. Simulation results are presented to demonstrate the effectiveness of the proposed scheme. For over-the-air computation (AirComp) systems, energy-constrained sensors become a bottleneck to improve the performances. To address this issue, in this letter, we propose a full-duplex (FD) wireless powered AirComp system with self-energy recycling, where all the nodes operate in the FD mode and the sensors can harvest energy from the hybrid access point (HAP)' signal and it's own transmit signal by self-energy recycling. We formulate a joint beamforming design problem and propose an effective iterative algorithm to solve the non-convex optimization problem, aiming to minimize the computation mean square error at the HAP under the transmit power constraints of the HAP and sensors. image