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Hybrid Precoding for an Adaptive Interference Decoding SWIPT System With Full-Duplex IoT Devices

delete2020-02-01
delete27
PRE
AI
赵雄文 (Xiongwen Zhao)
Y
Yu Zhang *
S
Suiyan Geng
F
Fei Du
Z
Zhenyu Zhou
L
Liuqing Yang
DOI:10.1109/JIOT.2019.2953312delete
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Abstract

Abstract

En 中文
In this article, a simultaneous wireless information and power transfer (SWIPT) system with full-duplex (FD) Internet of Things (IoT) nodes is considered and investigated. We induce the adaptive interference decoding (AID) strategy as well as the switch and inverter structure with antenna selection (SIAS)-based hybrid precoding scheme to the SWIPT system. A joint optimization of hybrid precoder, decoding rule, and power splitting (PS) ratio problem is formulated to minimize the total transmission power, while satisfying the data rate and harvested energy constraints. As it is a nonconvex problem, we propose a suboptimal solution with three stages. In the first stage, a search algorithm which can reduce the complexity of exhaustive search is proposed to decide the sending mode of each node. In the second stage, we utilize the semidefinite relaxation (SDR) approach to find the optimal digital precoder and PS ratios. In the last stage, we propose an alternate minimization algorithm to obtain the hybrid precoding vectors. The simulation results show that our proposed suboptimal solutions can achieve a better performance in terms of power consumption and outage probability compared with those for treating interference as noise (IAN) systems and the digital precoding schemes. Both AID strategy and SIAS-based hybrid precoding are beneficial to the FD SWIPT system. Moreover, the self-interference causes little effect on the system performance as long as it can be eliminated up to 30 dB, which can be easily achieved by the antenna separation technique.
Keywords:
Adaptive interference decoding (AID)
alternating minimization
full-duplex (FD)
hybrid precoding
semidefinite relaxation (SDR)
simultaneous wireless information and power transfer (SWIPT)
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Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

N
north china electric power university
Scholars:
2.5W
Papers: 1.7W
Citations: 16
C
Colorado State University
Scholars:
8.2K
Papers: 5.7K
Citations: 2.6W