Investigation of the Scattering Noise in Underwater Optical Wireless Communications

In underwater optical wireless communications (UOWC), scattering of the propagating light beam results in both intensity and phase variations, which limit the transmission link range and channel bandwidth, respectively. Scattering of photons while propagating through the channel is a random process, which results in the channel-dependent scattering noise. In this work, we introduce for the first time an analytical model for this noise and investigate its effect on the bit error rate performance of the UOWC system for three types of waters and a range of transmission link spans. We show that, for a short range of un-clear water or a longer range of clear water, the number of photons experiencing scattering is high, thus leading to the increased scattering noise. The results demonstrate that the FEC limit of 3×10−3 and considering the scattering noise, the maximum link spans are 51.5, 20, and 4.6 m for the clear, coastal, and harbor waters, respectively

The Channel Impulse Response of SIMO Underwater Optical Wireless Communication Link based on Monte Carlo Simulation

In underwater optical wireless communications (UOWC)the channel impulse response is essential in characterizing the link. In this paper we investigate the impulse response of the single input multiple output UOWC link using Monte Carlo simulation for different types of waters. We simulate the bit error rate (BER)performance for the proposed intensity modulation direct detection SIMO UOWC links for multiple receivers with a linear combining scheme by considering absorption, scattering, turbulence and all major noise sources. We show that, the clear, coastal and harbor waters display the best to the worth BER performance, respectively

A Complete Model for Underwater Optical Wireless Communications System

In this paper, we propose a system model by considering turbulence, scattering and absorption effects and noises including shot noise, thermal noise and background noise, for underwater optical wireless communications. The results are shown for the three different types of water by considering the different effects in the model. The results are shown for the eye diagrams as well as the bit error rates over a range of transmission span