Traditional simultaneous wireless information and power transfer (SWIPT) with power splitting assumes perfect channel state information (CSI), which is difficult to obtain especially in the massive multiple-input-multiple-output (MIMO) regime. In this letter, we consider a mixed-timescale joint beamforming and power splitting (MJBP) scheme to maximize general utility functions under a power constraint in the downlink of a massive MIMO SWIPT IoT network. In this scheme, the transmit digital beamformer is adapted to the imperfect CSI, while the receive power splitters are adapted to the long-term channel statistics only due to the consideration of hardware limit and signaling overhead. The formulated optimization problem is solved using a mixed-timescale online stochastic successive convex approximation (MO-SSCA) algorithm. Simulation results reveal significant gain over the baselines.
@article{arxiv.1908.07408,
title = {Mixed-Timescale Beamforming and Power Splitting for Massive MIMO Aided SWIPT IoT Network},
author = {Xihan Chen and Hei Victor Cheng and An Liu and Kaiming Shen and Min-Jian Zhao},
journal= {arXiv preprint arXiv:1908.07408},
year = {2019}
}
Comments
An extended version of a manuscript submitted to IEEE WCL