Lei, Yushi and Liu, Yusha and Hu, Jie and Yang, Kun (2025) Hypernetwork-Aided Channel Estimation for Integrated Data and Energy Transfer. IEEE Transactions on Vehicular Technology, 74 (2). pp. 3401-3406. DOI https://doi.org/10.1109/tvt.2024.3471668
Lei, Yushi and Liu, Yusha and Hu, Jie and Yang, Kun (2025) Hypernetwork-Aided Channel Estimation for Integrated Data and Energy Transfer. IEEE Transactions on Vehicular Technology, 74 (2). pp. 3401-3406. DOI https://doi.org/10.1109/tvt.2024.3471668
Lei, Yushi and Liu, Yusha and Hu, Jie and Yang, Kun (2025) Hypernetwork-Aided Channel Estimation for Integrated Data and Energy Transfer. IEEE Transactions on Vehicular Technology, 74 (2). pp. 3401-3406. DOI https://doi.org/10.1109/tvt.2024.3471668
Abstract
Integrated data and energy transfer (IDET) is an important component of future communication networks due to its characteristic to provide continuous and reliable wireless power to battery-limited devices. In order to get full advantages of IDET technology in future communication networks and realize efficient beamforming design, the base station (BS) must obtain accurate downlink channel state information (CSI). In this work, we propose an energy harvesting (EH) aided channel estimation scheme using a novel deep learning (DL) architecture in an end-to-end training mode. This architecture simultaneously obtains CSI from both an energy harvester and a data decoder at an IDET receiver. By designing a hypernetwork-aided deep neural network (DNN), we achieve more accurate channel estimation, while effectively reducing the pilot overhead in channel estimation. Simulation results show that compared to the state of the art, our EH aided channel estimation scheme attains a lower normalized mean square error (NMSE).
Item Type: | Article |
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Uncontrolled Keywords: | Channel estimation; Estimation; Receivers; Vectors; Downlink; Wireless sensor networks; Energy exchange; Accuracy; Uplink; Training; Energy harvesting (EH) aided channel estimation; hypernetwork; integrated data and energy transfer (IDET) |
Divisions: | 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: | 01 Apr 2025 15:53 |
Last Modified: | 01 Apr 2025 15:57 |
URI: | http://repository.essex.ac.uk/id/eprint/39536 |
Available files
Filename: Hypernetwork-Aided_Channel_Estimation_for_Integrated_Data_and_Energy_Transfer.pdf