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arXiv · 1801.10430

Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems with Wireless Energy Harvesting

Zhengyu Zhu·Sai Huang·Zheng Chu·Fuhui Zhou·Di Zhang·Inkyu Lee
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Abstract

In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information (CSI). In this system, a distributed antenna port with multiple antennas supports a set of mobile stations who can decode information and harvest energy simultaneously via a power splitter. To design robust transmit beamforming vectors and the power splitting (PS) factors in the presence of CSI errors, we maximize the average worst-case signal-to-interference-plus- noise ratio (SINR) while achieving individual energy harvesting constraint for each mobile station. First, we develop an efficient algorithm to convert the max-min SINR problem to a set of "dual" min-max power balancing problems. Then, motivated by the penalty function method, an iterative algorithm based on semi-definite programming (SDP) is proposed to achieve a local optimal rank-one solution. Also, to reduce the computational complexity, we present another iterative scheme based on the Lagrangian method and the successive convex approximation (SCA) technique to yield a suboptimal solution. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms.

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Zhengyu Zhu, Sai Huang, Zheng Chu, Fuhui Zhou, Di Zhang, Inkyu Lee. 2018-01-31. Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems with Wireless Energy Harvesting. https://doi.org/10.1109/jsyst.2018.2793903

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