Noise Modulation over Wireless Energy Transfer: JEIH-Noise Mod

TL;DR

This paper introduces a novel noise modulation technique for IoT devices that enables simultaneous wireless energy transfer and data communication by embedding information into Gaussian noise, improving energy harvesting and decoding efficiency.

Contribution

It proposes a new noise modulation scheme that embeds data into Gaussian noise for simultaneous energy transfer and communication in IoT devices, with analytical and simulation validation.

Findings

Outperforms conventional modulation schemes in energy harvesting.

Enables data decoding via mean-based detection.

Effective under Rician fading channels.

Abstract

This letter presents an innovative energy harvesting (EH) and communication scheme for Internet of Things (IoT) devices by utilizing the emerging noise modulation (Noise-Mod) technique. Our proposed approach embeds information into the mean value of real Gaussian noise samples, enabling simultaneous power transfer and data transmission. We analyze our system under the Rician fading channels with path loss and derive the bit error probability (BEP) expression. Our simulation results demonstrate that the proposed scheme outperforms conventional modulation schemes in terms of energy harvesting capability across various channel conditions. This scheme offers a novel solution by directly embedding data into the noise-modulated signal to enable information decoding through mean-based detection. Furthermore, it increases energy harvesting capability thanks to the utilized Gaussian waveform.