Chen, Linlin and Wu, Xiaofang and Wang, Xin and Qi, Wen and Hong, Xuemin and Shi, Jianghong and Hu, Jie and Yang, Kun (2021) Performance Tradeoff Analysis of Hybrid Signaling SWIPT Systems with Nonlinear Power Amplifiers. Electronics, 10 (11). p. 1364. DOI https://doi.org/10.3390/electronics10111364
Chen, Linlin and Wu, Xiaofang and Wang, Xin and Qi, Wen and Hong, Xuemin and Shi, Jianghong and Hu, Jie and Yang, Kun (2021) Performance Tradeoff Analysis of Hybrid Signaling SWIPT Systems with Nonlinear Power Amplifiers. Electronics, 10 (11). p. 1364. DOI https://doi.org/10.3390/electronics10111364
Chen, Linlin and Wu, Xiaofang and Wang, Xin and Qi, Wen and Hong, Xuemin and Shi, Jianghong and Hu, Jie and Yang, Kun (2021) Performance Tradeoff Analysis of Hybrid Signaling SWIPT Systems with Nonlinear Power Amplifiers. Electronics, 10 (11). p. 1364. DOI https://doi.org/10.3390/electronics10111364
Abstract
Simultaneous wireless information and power transfer (SWIPT) is a promising technology to achieve wide-area energy transfer by sharing the same radio frequency (RF) signal and infrastructure of legacy wireless communication systems. To enlarge the effective range of energy transfer in practice, it is desirable to have a hybrid signaling SWIPT scheme, which combines a high-power multitone energy signal with a low-power broadband information signal. This paper presents a systematic study on the performance of hybrid signaling SWIPT systems with memoryless nonlinear transmitter power amplifiers (PAs). Using PA efficiency and signal-to-noise-and-distortion ratio (SNDR) as the metrics to measure the efficiency of energy transfer and information transmission, respectively, we derive the tradeoff between these two metrics for two PA classes, two nonlinear PA models, and two SNDR definitions. Our results reveal insights into the fundamental performance tradeoff inherent in SWIPT systems using hybrid signaling schemes.
Item Type: | Article |
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Uncontrolled Keywords: | SWIPT; SNDR; energy conversion efficiency; nonlinear PA |
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: | 21 Sep 2021 09:30 |
Last Modified: | 23 Sep 2022 19:46 |
URI: | http://repository.essex.ac.uk/id/eprint/31129 |
Available files
Filename: electronics-10-01364.pdf
Licence: Creative Commons: Attribution 3.0