Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design
From MaRDI portal
Publication:6334832
arXiv2002.06193MaRDI QIDQ6334832
Author name not available (Why is that?)
Publication date: 13 February 2020
Abstract: We propose a multiple-input multiple-output (MIMO)-based full-duplex (FD) scheme that enables wireless devices to simultaneously transmit information and harvest energy using the same time-frequency resources. In this scheme, for a MIMO point-to-point set up, the energy transmitting device simultaneously receives information from the energy harvesting device. Furthermore, the self-interference (SI) at the energy harvesting device caused by the FD mode of operation is utilized as a desired power signal to be harvested by the device. For implementation-friendly antenna selection and MIMO precoding at both the devices, we propose two methods: (i) a sub-optimal method based on relaxation, and (ii) a hybrid deep reinforcement learning (DRL)-based method, specifically, a deep deterministic policy gradient (DDPG)-deep double Q-network (DDQN) method. Finally, we study the performance of the proposed system under the two implementation methods and compare it with that of the conventional time switching-based simultaneous wireless information and power transfer (SWIPT) method. Findings show that the proposed system gives a significant improvement in spectral efficiency compared to the time switching-based SWIPT. In particular, the DRL-based method provides the highest spectral efficiency. Furthermore, numerical results show that, for the considered system set up, the number of antennas in each device should exceed three to mitigate self-interference to an acceptable level.
Has companion code repository: https://github.com/makrout/DRL-Antenna-Clustering-SWIPT
This page was built for publication: Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6334832)
