Transceiver design of optimum wirelessly powered full-duplex MIMO iot devices

Jiang Xue*, Sudip Biswas, Ali Cagatay Cirik, Huiqin Du, Yang Yang, Tharmalingam Ratnarajah, Mathini Sellathurai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In this paper, we investigate the energy harvesting (EH) technique and accordingly design transceivers for a $K$ link multiple-input multiple-output interference channel. Each link consists of two full-duplex (FD) Internet of Things (IoT) nodes exchanging information simultaneously in a bi-directional communication channel. All the nodes suffer from interference, in particular strong self-interference and inter-node interference, due to operating in FD mode and simultaneous transmission at each link, respectively. Further, we divide the received signal at each node into two parts. While one part of the signal is used for information decoding, the other part is used for EH. We jointly design the transmit and receive beamforming vectors and receiver power splitting ratios by minimizing the total transmission power of the system, subject to both signal-To-interference-plus-noise ratio and EH threshold constraints. Furthermore, the case of multiple-input single-output interference channel is also included for the sake of comparison. We also revisit the above problems for the case when the available channel state information (CSI) at the transmitters is imperfect, where the errors of the CSI are assumed to be norm bounded. Simulation results show that the EH technique can harvest enough energy to support power consumption limited IoT devices by aiding in recharging their respective batteries.

Original languageEnglish
Pages (from-to)1955-1969
Number of pages15
JournalIEEE Transactions on Communications
Issue number5
Early online date5 Feb 2018
Publication statusPublished - 1 May 2018

Keywords / Materials (for Non-textual outputs)

  • Beamforming
  • Energy harvesting
  • Full-duplex
  • MIMO interference channels
  • Power splitting
  • Self-interference


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