Linear Precoder Design for SWIPT in MIMO Broadcasting Systems with Discrete Input Signals: Manifold Optimization Approach
In this paper, we investigate the design of linear precoders for simultaneously wireless information and power transfer (SWIPT) in a multi-input multi-output (MIMO) broadcasting system with discrete input signals. The considered system model consists of one base station (BS), one information receiver (IR), and one energy receiver (ER). The design objective is to maximize the input-output mutual information of the IR subject to the power constraint and the harvested energy requirement for the ER. We derive the structure of the optimal linear precoder by using manifold optimization, and propose an algorithm to find the optimal precoder. Simulation results show that the proposed algorithm can achieve better performance than the time sharing scheme and the Gaussian optimal precoder when Gaussian inputs are replaced by discrete input signals.
A. Lu et al., "Linear Precoder Design for SWIPT in MIMO Broadcasting Systems with Discrete Input Signals: Manifold Optimization Approach," IEEE Transactions on Communications, vol. 65, no. 7, pp. 2877 - 2888, Institute of Electrical and Electronics Engineers (IEEE), Jul 2017.
The definitive version is available at https://doi.org/10.1109/TCOMM.2017.2695598
Electrical and Computer Engineering
National Natural Science Foundation (China)
Ministry of Science and Technology of the People's Republic of China. 863 Program
National Science and Technology Major Project of China
Huawei Cooperation Project
National Science Foundation (U.S.)
Keywords and Phrases
Energy transfer; MIMO systems; Optimization; Signal encoding; Broadcasting systems; Energy requirements; Information and power transfers; Linear precoder designs; Multi input multi output; Mutual informations; Optimization approach; Precoder design; Structural optimization; Discrete input signals; Manifold optimization; Multi-input multi-output (MIMO); Simultaneously wireless information and power transfer (SWIPT)
International Standard Serial Number (ISSN)
Article - Journal
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2017