Robust Beamforming for Wireless Information and Power Transmission
Zhengzheng Xiang, Meixia Tao

TL;DR
This paper proposes a robust beamforming method for multi-antenna wireless systems that simultaneously transmits information and power, optimizing energy harvesting under imperfect channel knowledge with an efficient SDP-based solution.
Contribution
It introduces a novel robust beamforming approach that guarantees performance under channel uncertainties and proves the relaxation is tight, enabling optimal solutions.
Findings
The proposed algorithm maximizes worst-case energy harvesting.
The relaxation approach yields rank-one solutions, ensuring optimality.
Simulation results confirm the effectiveness of the method.
Abstract
In this letter, we study the robust beamforming problem for the multi-antenna wireless broadcasting system with simultaneous information and power transmission, under the assumption of imperfect channel state information (CSI) at the transmitter. Following the worst-case deterministic model, our objective is to maximize the worst-case harvested energy for the energy receiver while guaranteeing that the rate for the information receiver is above a threshold for all possible channel realizations. Such problem is nonconvex with infinite number of constraints. Using certain transformation techniques, we convert this problem into a relaxed semidefinite programming problem (SDP) which can be solved efficiently. We further show that the solution of the relaxed SDP problem is always rank-one. This indicates that the relaxation is tight and we can get the optimal solution for the original…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · Antenna Design and Analysis
