DCSK-based Waveform Design for Self-sustainable RIS-aided Noncoherent SWIPT

TL;DR

This paper presents a novel DCSK-based waveform design for RIS-aided SWIPT systems, optimizing energy harvesting and information transfer by analyzing the impact of RIS configuration, channel conditions, and waveform parameters.

Contribution

It introduces a differential chaos shift keying (DCSK) waveform design for self-sustainable RIS-aided SWIPT, including analytical expressions and trade-offs for energy harvesting and data transmission.

Findings

Performance depends on channel, waveform, and RIS elements.

More RIS elements in IT mode are not always better.

A trade-off exists between BER and harvested power.

Abstract

This paper investigates the problem of transmit waveform design in the context of a chaotic signal-based self-sustainable reconfigurable intelligent surface (RIS)-aided system for simultaneous wireless information and power transfer (SWIPT). Specifically, we propose a differential chaos shift keying (DCSK)-based RIS-aided point-to-point set-up, where the RIS is partitioned into two non-overlapping surfaces. The elements of the first sub-surface perform energy harvesting (EH), which in turn, provide the required power to the other sub-surface operating in the information transfer (IT) mode. In this framework, by considering a generalized frequency-selective Nakagami-m fading scenario as well as the nonlinearities of the EH process, we derive closed-form analytical expressions for both the bit error rate (BER) at the receiver and the harvested power at the RIS. Our analysis demonstrates, that both these performance metrics depend on the parameters of the wireless channel, the transmit waveform design, and the number of reflecting elements at the RIS, which switch between the IT and EH modes, depending on the application requirements. Moreover, we show that, having more reflecting elements in the IT mode is not always beneficial and also, for a given acceptable BER, we derive a lower bound on the number of RIS elements that need to be operated in the EH mode. Furthermore, for a fixed RIS configuration, we investigate a trade-off between the achievable BER and the harvested power at the RIS and accordingly, we propose appropriate transmit waveform designs. Finally, our numerical results illustrate the importance of our intelligent DCSK-based waveform design on the considered framework.