Linear Precoder Design for SWIPT in MIMO Broadcasting Systems with Discrete Input Signals: Manifold Optimization Approach
Abstract
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.
Recommended Citation
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
Department(s)
Electrical and Computer Engineering
Sponsor(s)
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)
0090-6778
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jul 2017
Comments
The work of A.-A. Lu and X. Q. Gao was supported in part by National Natural Science Foundation of China under Grants 61320106003, 61471113, 61521061 and 61631018, the China High-Tech 863 Plan under Grants 2015AA01A701 and 2014AA01A704, National Science and Technology Major Project of China under Grant 2014ZX03003006-003, and the Huawei Cooperation Project. The work of Y. R. Zheng and C. Xiao was supported in part by USA National Science Foundation under Grants ECCS-1231848, ECCS-1408316 and ECCS-1539316.