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Robust Beamforming Designs in Secure MIMO SWIPT IoT Networks With a Nonlinear Channel Model

Authors
Zhu, ZhengyuWang, NingHao, WanmingWang, ZhongyongLee, Inkyu
Issue Date
1-2월-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Array signal processing; Robustness; Internet of Things; Wireless communication; Transmitters; Communication system security; Jamming; Internet of Things; nonlinear energy harvesting; physical-layer security; robust beamforming; simultaneous wireless information and power transfer
Citation
IEEE INTERNET OF THINGS JOURNAL, v.8, no.3, pp.1702 - 1715
Indexed
SCIE
SCOPUS
Journal Title
IEEE INTERNET OF THINGS JOURNAL
Volume
8
Number
3
Start Page
1702
End Page
1715
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/49631
DOI
10.1109/JIOT.2020.3014933
ISSN
2327-4662
Abstract
In this article, we study a robust beamforming design for multiuser multiple-input-multiple-output secrecy networks with simultaneous wireless information and power transfer (SWIPT). In this system, an access point, multiple Internet-of-Things (IoT) devices under the nonlinear energy harvesting (EH) model with a help of one cooperative jammer (CJ). We employ artificial noise (AN) generation to facilitate efficient wireless energy transfer and secure transmission. To achieve EH fairness, we aim to maximize the minimum harvested energy among users subject to secrecy rate constraint and total transmit power constraint in the presence of channel estimation errors. By incorporating a norm-bounded channel uncertainty model, the original robust problem is transformed into a two-layer optimization problem, where the inner layer problem is reformulated as semidefinite programming (SDP) and the outer layer problem is solved by a one-dimensional (1-D) line search algorithm. In addition, in order to reduce computational complexity, we propose an algorithm based on sequential parametric convex approximation (SPCA). Finally, simulation results show that the proposed SPCA method achieves the same performance as the two-layer algorithm with much lower complexity.
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Lee, In kyu
공과대학 (전기전자공학부)
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