Differential Chaos Shift Keying-Based Wireless Power Transfer With Nonlinearities

被引:7
作者
Mukherjee, Priyadarshi [1 ]
Psomas, Constantinos [1 ]
Krikidis, Ioannis [1 ]
机构
[1] Univ Cyprus, Dept Elect & Comp Engn, CY-1678 Nicosia, Cyprus
基金
欧洲研究理事会;
关键词
Differential chaos shift keying; wireless power transfer; nonlinear energy harvesting; Nakagami-m fading channel; WAVE-FORM DESIGN; DCSK; INFORMATION; MODULATION; STRATEGIES; SELECTION; SYSTEMS;
D O I
10.1109/JSTSP.2021.3086734
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we investigate conventional communication-based chaotic waveforms in the context of wireless power transfer (WPT). Particularly, we present a differential chaos shift keying (DCSK)-based WPT architecture, that employs an analog correlator at the receiver, in order to boost the energy harvesting (EH) performance. We take into account the nonlinearities of the EH process and derive closed-form analytical expressions for the harvested direct current (DC) under a generalized Nakagami-m block fading model. We show that, in this framework, both the peak-to-average-power-ratio of the received signal and the harvested DC, depend on the parameters of the transmitted waveform. Furthermore, we investigate the case of deterministic unmodulated chaotic waveforms and demonstrate that, in the absence of a correlator, modulation does not affect the achieved harvested DC. On the other hand, it is shown that for scenarios with a correlator-aided receiver, DCSK significantly outperforms the unmodulated case. Based on this observation, we propose a novel DCSK-based signal design, which further enhances the WPT capability of the proposed architecture; corresponding analytical expressions for the harvested DC are also derived. Our results demonstrate that the proposed architecture and the associated signal design, can achieve significant EH gains in DCSK-based WPT systems. Furthermore, we also show that, even by taking into account the nonlinearities at the transmitter amplifier, the proposed chaotic waveform performs significantly better in terms of EH, when compared with the existing multisine signals.
引用
收藏
页码:1185 / 1197
页数:13
相关论文
共 33 条
[1]   Feedback Enhances Simultaneous Wireless Information and Energy Transmission in Multiple Access Channels [J].
Amor, Selma Belhadj ;
Perlaza, Samir M. ;
Krikidis, Ioannis ;
Poor, H. Vincent .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2017, 63 (08) :5244-5265
[2]  
[Anonymous], 2020, Ericsson Mobility Report Q4 2019 Update
[3]  
[Anonymous], 2012, P IEEE MTT S INT MIC
[4]   Asymmetric Modulation Design for Wireless Information and Power Transfer With Nonlinear Energy Harvesting [J].
Bayguzina, Ekaterina ;
Clerckx, Bruno .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (12) :5529-5541
[5]   Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems [J].
Boshkovska, Elena ;
Ng, Derrick Wing Kwan ;
Zlatanov, Nikola ;
Schober, Robert .
IEEE COMMUNICATIONS LETTERS, 2015, 19 (12) :2082-2085
[6]   SWIPT Schemes for Carrier Index Differential Chaos Shift Keying Modulation: A New Look at the Inactive Carriers [J].
Cheng, Guixian ;
Xu, Weikai ;
Chen, Chen ;
Wang, Lin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) :2557-2570
[7]   Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs [J].
Clerckx, Bruno ;
Zhang, Rui ;
Schober, Robert ;
Ng, Derrick Wing Kwan ;
Kim, Dong In ;
Poor, H. Vincent .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (01) :4-33
[8]   On the Beneficial Roles of Fading and Transmit Diversity in Wireless Power Transfer With Nonlinear Energy Harvesting [J].
Clerckx, Bruno ;
Kim, Junghoon .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (11) :7731-7743
[9]   Wireless Information and Power Transfer: Nonlinearity, Waveform Design, and Rate-Energy Tradeoff [J].
Clerckx, Bruno .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (04) :847-862
[10]   Waveform Design for Wireless Power Transfer [J].
Clerckx, Bruno ;
Bayguzina, Ekaterina .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (23) :6313-6328