Abstract

For indoor visible light communication (VLC), much work has been done when the noise is independent of the input signal. However, less effort is made when the VLC system suffers from the input-dependent noise. Considering the input-dependent noise, this paper focuses on the performance analysis and optimization for indoor VLC system. The Lambertian emission-based channel model and on-off keying modulation are employed. According to the system model, the bit error rate (BER) with a closed-form expression is derived. To enhance the system performance, an optimization problem that minimizes the BER by tilting the receiver plane is formulated. By solving the problem, the optimal tilting angle of the receiver is obtained. Simulation results verify the derived expression of BER. It is also shown that the BER is strongly affected by the input-dependent noise. Moreover, the optimal tilting angles for the receiver at any position are obtained, which can provide some insights for practical system design.

Highlights

  • In the past 10 years, the visible light communications (VLC) has gained substantial attention [1]

  • The VLC is mainly used for the intelligent transportation system [3, 4]

  • Much researchers concentrate on the indoor VLC

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Summary

Introduction

In the past 10 years, the visible light communications (VLC) has gained substantial attention [1]. In VLC, the light-emitting diodes (LEDs) are often employed as the transmitter, while the photodiodes (PDs) are used as the receiver. The illumination and communication in VLC can be implemented at the same time. VLC has become one of the most promising candidates for indoor wireless access in the forthcoming fifth generation (5G) communications [2]. The VLC can be implemented in both outdoor and indoor scenarios. The VLC is mainly used for the intelligent transportation system [3, 4]. Much researchers concentrate on the indoor VLC. A fundamental analysis for VLC is provided in [5]. In [6], the channel capacity bounds of VLC are derived by considering the

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