A Stacked Autoencoder Method for the PAPR Reduction in VLC Systems

The visible light communication (VLC) system can provide data communication function as well as lighting. It is widely used in automated and sustainable smart farming for its energy efficiency, reliability, security without degrading the crops growth compared to radio frequency communication. A novel peak to average power ratio (PAPR) reduction method is applied based on stacked autoencoder network in VLC systems. The deep learning network is trained by a combined loss function. Simulation results reveal that the VLC system achieves a distinct PAPR reduction and shows an improved bit error ratio performance. The system can be easily implemented and controlled in the existing infrastructure. This research provides a basis for the feasibility of deep learning theory in the design of optical communication system.

I. Introduction

Currently, poly house farming has substituted for traditional farming for it can reduce the dependency on rainfall and environmental conditions [1, 2]. But studies demonstrate that the use of electromagnetic devices influences the growth and quality of crops. To solve this problem, the visible light communication (VLC) is considered as one of the most promising method for wireless communication by using visible light spectrum [3, 4]. As LED has the advantages of fast response speed and high optical power. VLC is suitable for the indoor high speed transmission which can be used in smart farm. Light-emitting diode (LED) has higher energy efficiency than the traditional light source. At the same time, it has short response time, fast modulation speed and is not easy to be detected by the human eye. It can provide data communication function when it is illuminated. Transmission also significantly reduces the BER by using MIMO and OFDM technology, and becomes the mainstream of short-distance wireless communication and indoor environment update technology. Therefore, the research on indoor VLC communication and LED lighting energy saving is of great significance.