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

Xiongwen Zhao, Yu Zhang, Suiyan Geng, Fei Du, Zhenyu Zhou, Liuqing Yang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number8897674
Pages (from-to)1164-1177
Number of pages14
JournalIEEE Internet of Things Journal
Volume7
Issue number2
DOIs
StatePublished - Feb 2020
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received June 9, 2019; revised September 12, 2019 and October 22, 2019; accepted November 6, 2019. Date of publication November 13, 2019; date of current version February 11, 2020. This work was supported in part by the National Nature Science Foundation of China under Grant 61771194, in part by the Key Program of Beijing Municipal Natural Science Foundation under Grant 17L20052, and in part by the Beijing Municipal Science and Technology Commission under Grant Z181100003218007. (Corresponding author: Yu Zhang.) X. Zhao, Y. Zhang, S. Geng, F. Du, and Z. Zhou are with the School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China (e-mail: zhaoxw@ncepu.edu.cn; zhyu16@163.com; gsuiyan@ncepu.edu.cn; 827740952@qq.com; zhenyuzhou@ncepu.edu.cn).

Keywords

  • Adaptive interference decoding (AID)
  • alternating minimization
  • full-duplex (FD)
  • hybrid precoding
  • semidefinite relaxation (SDR)
  • simultaneous wireless information and power transfer (SWIPT)

Fingerprint Dive into the research topics of 'Hybrid Precoding for an Adaptive Interference Decoding SWIPT System with Full-Duplex IoT Devices'. Together they form a unique fingerprint.

Cite this