What is it about?
Channel capacity is a fundamental measure of the maximum amount of information which can be conveyed through a channel reliably. During transmission, the transmitted Free Space Optics signal is exposed to various effects such as atmospheric turbulence and misalignment between the transmitter and receiver (pointing error). One of the more effective ways to reduce the impact of these detrimental effects is the use of adaptive transmission. We have shown the use of different adaptive transmission algorithms in order to increase the reliability and capacity of the channel.
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Why is it important?
We have carried out a detailed analysis of channel capacity for different atmospheric turbulence strengths by using different adaptive transmission algorithms. The analysis was performed for IM/DD and heterodyne detection. The obtained analytical results were confirmed by Monte Carlo simulation. Also, the approximation for high SNR values is given. From the presented results, important conclusions can be drawn: how the strength of atmospheric turbulence affects the capacity, which algorithm has the advantage of a certain turbulence strength, which detection is better and when it is more practical to use.
Perspectives
During the writing of this paper, I had the opportunity to cooperate with coauthors that are highly appreciated in their scientific field. On the other hand, I had the opportunity to improve my knowledge in channel modeling and numerical mathematics. The work is very detailed and the results obtained in it can be practically applied. I hope that the work will be interesting to the readers and that I will be given the opportunity to apply the results in practice.
Marko Smilic
Faculty of Natural Sciences and Mathematics, University of Priština
Read the Original
This page is a summary of: Comparison of adaptive algorithms for free space optical transmission in Malaga atmospheric turbulence channel with pointing errors, IET Communications, March 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-com.2018.5666.
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