@inproceedings{37faa3c695504f53b48e6cc25304634f,
title = "Mixed-Time Scale Based Adaptive Mode Switching for Dual Mode SWIPT",
abstract = "In this paper, we implement transmitter-oriented dual mode simultaneous wireless information and power transfer (SWIPT) system in which two types (single/multi-tone) of communication mode are adopted to achieve the benefit of each communication mode. Duty-cycling operation is introduced for low-power consuming IoT devices to be self-powered. We propose a mixed-time scale based adaptive mode switching (MS) algorithm, in which a transmitter updates the MS threshold in long-term scale with deep recurrent neural networks (RNN) while deciding communication mode in short-term scale. The proposed algorithm enables the realization of battery-free IoT network.",
keywords = "Adaptive mode switching (MS), deep learning, dual mode SWIPT, duty-cycling operation, nonlinear energy harvesting",
author = "Park, \{Jong Jin\} and Moon, \{Jong Ho\} and Lee, \{Kang Yoon\} and Kim, \{Dong In\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Wireless Power Transfer Conference, WPTC 2019 ; Conference date: 18-06-2019 Through 21-06-2019",
year = "2019",
month = jun,
doi = "10.1109/WPTC45513.2019.9055621",
language = "English",
series = "2019 IEEE Wireless Power Transfer Conference, WPTC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "228--231",
booktitle = "2019 IEEE Wireless Power Transfer Conference, WPTC 2019",
}