Xiang, Luping and Cui, Jingwen and Hu, Jie and Yang, Kun and Hanzo, Lajos (2023) Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design. IEEE Transactions on Vehicular Technology, 72 (8). pp. 11047-11052. DOI https://doi.org/10.1109/tvt.2023.3262624
Xiang, Luping and Cui, Jingwen and Hu, Jie and Yang, Kun and Hanzo, Lajos (2023) Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design. IEEE Transactions on Vehicular Technology, 72 (8). pp. 11047-11052. DOI https://doi.org/10.1109/tvt.2023.3262624
Xiang, Luping and Cui, Jingwen and Hu, Jie and Yang, Kun and Hanzo, Lajos (2023) Polar Coded Integrated Data and Energy Networking: A Deep Neural Network Assisted End-to-End Design. IEEE Transactions on Vehicular Technology, 72 (8). pp. 11047-11052. DOI https://doi.org/10.1109/tvt.2023.3262624
Abstract
Wireless sensors are everywhere. To address their energy supply, we proposed an end-to-end design for polar-coded integrated data and energy networking (IDEN), where the conventional signal processing modules, such as modulation/demodulation and channel decoding, are replaced by deep neural networks (DNNs). Moreover, the input-output relationship of an energy harvester (EH) is also modelled by a DNN. By jointly optimising both the transmitter and the receiver as an autoencoder (AE), we minimize the bit-error-rate (BER) and maximize the harvested energy of the IDEN system, while satisfying the transmit power budget constraint determined by the normalization layer in the transmitter. Our simulation results demonstrate that the DNN aided end-to-end design conceived outperforms its conventional model-based counterpart both in terms of the harvested energy and the BER.
Item Type: | Article |
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Uncontrolled Keywords: | deep neural network (DNN); end-to-end learning; Integrated data and energy networking (IDEN); polar code; wireless energy transfer (WET) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 10 Jul 2023 14:56 |
Last Modified: | 03 Sep 2023 00:12 |
URI: | http://repository.essex.ac.uk/id/eprint/35948 |
Available files
Filename: Polar_IDET.pdf