Harnessing Chaotic Signals for Wireless Information and Power Transfer

TL;DR

This paper explores the use of multi-dimensional chaotic signals, specifically Lorenz and Henon systems, for enhancing wireless power transfer and simultaneous wireless information and power transfer (SWIPT) in 6G networks, including novel receiver architectures and waveform designs.

Contribution

It introduces a generalized WPT performance analysis of chaotic signals, proposes a DCSK-based receiver architecture for energy harvesting, and designs DCSK waveforms for multi-antenna SWIPT systems.

Findings

Chaotic signals outperform benchmark schemes in WPT performance.

Proposed DCSK-based receiver enhances energy harvesting efficiency.

Waveform designs optimize the rate-energy trade-off in SWIPT architectures.

Abstract

Chaotic dynamical systems have attracted considerable attention due to their inherent randomness and high sensitivity to initial conditions, which makes them ideal for secure wireless communications. Beyond security, these same characteristics also make chaotic signals particularly effective for wireless power transfer (WPT) applications. On the other hand, connectivity along with self-sustainability are the two cornerstones of the upcoming sixth generation (6G) standard for radio communications. Consequently, with the massive increase in wireless devices and sensors, the concept of self-sustainable wireless networks is becoming more relevant. The aspect of WPT to the widely spread wireless devices and simultaneous wireless information and power transfer (SWIPT) among these devices will play a crucial role in the 6G communication systems. In this context, it has been experimentally observed that chaotic signals result in better WPT performance as compared to the existing benchmark schemes. Hence, in this paper, we characterize the generalized WPT performance of the multi-dimensional chaotic signals and present the use case of the Lorenz and the Henon chaotic systems. Moreover, we provide a novel differential chaos shift keying (DCSK)-based WPT receiver architecture ideal for enhanced energy harvesting (EH). Furthermore, we propose DCSK-based transmit waveform designs for multi-antenna SWIPT architectures and investigate the impact of the rate-energy trade-off. Our goal is to explore these aspects of the chaotic signals and discuss their relevance in the context of both WPT and SWIPT.