Performance Analysis of Free Space Optical Networks Using the Beta-Average Recursive Estimator
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Performance Analysis of Free Space Optical Networks Using the Beta‑Average Recursive Estimator Haroun Errachid Adardour1,2 · Samir Kameche2
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The present paper aims to investigate and analyze the performance of a point-to-point optical network under a free-space optical (FSO) communication system. Free-space optical communication is a sophisticated technique that has been employed as a channel model of optical wireless communication to transfer large amounts of data at high speeds. However, two important issues, that could affect the source of the FSO link, have been added. The first one is related to chromatic dispersion which is attributed to the chirping phenomenon of the optical signal; the second issue concerns the secondary jamming power that can be generated by some Radio Frequencies from base stations. It is important to note that the effects of atmospheric turbulence, misalignment fading, and atmospheric attenuation as well as geometric losses were also taken into account. The purpose of this research work is to overcome these effects, in order to increase the data transmission rate from 1.25 to 50 Gbps in the proposed system. Consequently, a very efficient solution is suggested to correct these problems and to make the FSO link more reliable using the Beta-Average Recursive Estimator. In addition, the numerical results obtained are presented for the purpose of validating our proposal through the evaluation of the performance of a transmission link in terms of the bit error rate and Q-factor. In the end, the resulting conclusions are listed, explained and discussed. Keywords Cognitive radio networks · BER performance · Q-factor measurement · Freespace optical communication
* Haroun Errachid Adardour h.adardour@univ‑chlef.dz Samir Kameche samir.kameche@univ‑tlemcen.dz 1
Department of Electronics, Faculty of Technology, University Hassiba Benbouali-Chlef, Chlef, Algeria
2
STIC Laboratory, Department of Telecommunications, Faculty of Technology, University Abou Bekr Balkaid-Tlemcen, Post Box 230, Pole Chetouane, 13000 Tlemcen, Algeria
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H. E. Adardour, S. Kameche
1 Motivation and Related Work In the last few years, the use of new technologies in the field of wireless communications and applications has produced congestion on the wireless spectrum. In that event, one may say that there are simply no empty bandwidths within the wireless spectrum to satisfy all users’ needs [1]. Fortunately, it is possible to address this wireless network congestion and the actual wireless spectrum shortage can easily be solved using the cognitive radio (CR) technology [2, 3]. This engineering science is relatively recent; unfortunately, it still encounters a number of barriers and constraints, such as the data throughput rate, transmission security, transmission bandwidth, quality of service and so on [4–6]. In order to overcome these problems, a new promising candidate for the next generation wireless networks ha
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