Year-end Sale % OFF 
Abstract
Free space optical communication (FSO) is widely deployed to transmit high data rates for rapid communication traffic increase. Asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) modulation is a very efficient FSO communication technique in terms of transmitted optical power. However, its performance is limited by atmospheric turbulence. When the channel includes strong turbulence or is non-deterministic, the bit error rate (BER) increases. To reach optimal performance, the ACO-OFDM decoder needs to know accurate channel state information (CSI). We propose novel detection using different deep learning (DL) algorithms. Our DL models are compared with minimum mean square error (MMSE) detection methods in different turbulent channels and improve performance especially for non-stationary and non-deterministic channels. Our models yield performance very close to that of the MMSE estimator when the channel is characterized by weak or strong turbulence and is stationary. However, when the channel is non-stationary and variable, our DL model succeeds in improving the performance of the system and decreasing the signal to noise ratio (SNR) by more than 8 dB compared to that of the MMSE estimator, and it succeeds in recovering the received data without needing to know accurate CSI. Our DL decoders also show notable speed and energy efficiency improvement.
Highlights
Free space optical (FSO) communication has been widely used due to its capability to transmit with high data rates [1,2], supporting the rapid increase in the amount of traffic passing through communication networks [3,4]
FSO communication is faster than radio frequency (RF); in FSO communication, there is no need for a spectrum license as in RF; and in FSO, there no need to use complicated security methods as in RF, because the data is transmitted along line of sight (LOS) paths and the wavelength is very small, Appl
We demonstrate that the use of deep learning (DL) algorithms for recovering the transmitted data in ACO-OFDM modulated signals can be an effective solution for FSO through turbulent channels, thereby improving the performance of the communication system
Summary
Free space optical (FSO) communication has been widely used due to its capability to transmit with high data rates [1,2], supporting the rapid increase in the amount of traffic passing through communication networks [3,4]. FSO enables transmission with high data rates as in optical fibers, but in FSO communication, the data is transmitted by light in free space through the air and not by cable. This increases the flexibility of the networks compared to optical fiber networks, and it leads to dynamic wireless network capabilities, as well as decreasing the energy consumption of the communication networks, which is a very important consideration in our world.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
