Mutual Information Maximization for SWIPT AF MIMO Relay Systems with Non-linear EH Models and Imperfect Channel State Information

Lee, J.B.; Rong, Yue; Gopal, L.; Chiong, Choo W. R.

doi:10.1109/TVT.2022.3172521

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Access Status

Open access

Authors

Lee, J.B.

Rong, Yue

Gopal, L.

Chiong, Choo W. R.

Date

2022

Type

Journal Article

Metadata

Show full item record

Citation

Lee, J.B. and Rong, Y. and Gopal, L. and W.R. Chiong, C. 2022. Mutual Information Maximization for SWIPT AF MIMO Relay Systems with Non-linear EH Models and Imperfect Channel State Information. IEEE Transactions on Vehicular Technology. 71 (8): pp. 8503-8518.

Source Title

IEEE Transactions on Vehicular Technology

DOI

10.1109/TVT.2022.3172521

ISSN

0018-9545

Faculty

Faculty of Science and Engineering

School

School of Elec Eng, Comp and Math Sci (EECMS)

Remarks

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

URI

http://hdl.handle.net/20.500.11937/88923

Collection

Curtin Research Publications

Abstract

In this paper, we investigate a two-hop simultaneous wireless information and power transfer (SWIPT) amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay communication system with an energy-limited relay node. The relay node harvests energy based on the radio-frequency (RF) signal transmitted from the source node through the time-switching (TS) protocol and fully uses the harvested energy to precode and forward the information to the destination node. The non-linear energy harvesting models are considered at the relay node. With the consideration of the channel estimation error, the joint optimization of the TS factor, source and relay precoding matrices is proposed with robustness against the channel state information (CSI) mismatch to maximize the mutual information (MI) between the source and destination nodes. The optimal structure for the source and relay precoding matrices is derived to simplify the transceiver optimization problem. Numerical simulations show that the system performance provided by the proposed algorithms with robustness is better than the non-robust algorithm.