On the Robust design for IoT-based Wireless Information and Power Transmission network

This work investigates the robust beamforming for a multi-antenna internet of things (IoT) system using wireless information and power transmission (WIPT), given that imperfect channel state information (CSI) assumption is accounted.In particular, we investigate the problem of maximizing the worst-case energy harvested, taking into account the quality of service (QoS) constraint of user rate. The proposed problem is naturally a nonconvex problem, which is hard to tackle directly. On one hand, we rely on a classical method, that is semidefinite programming problem (SDP), to handle this by transforming the original nonconvex optimization problem with infinite number of constraints to a relaxed convex one. On the other hand, we propose another algorithm using Symbiotic Organisms Search (SOS) approach that can effciently solve the formulated problem. In the end, numerical results are provided to verify the effectiveness of the SDP-based algorithm in comparison with that of the SOS-based algorithm.