Capacity estimation of optical wireless communication systems over moderate to strong turbulence channels

Nistazakis, Hector E.; Tombras, George S.; Tsigopoulos, A.D.; Karagianni, Evangelia A.; Fafalios, Michael E.

doi:10.1109/jcn.2009.6391352

Cited by 32 publications

(35 citation statements)

References 12 publications

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“…Thus, from [3,14,36], and using the expression (10), we reach a conclusion of the following closed form mathematical expression for the FSO's average capacity, as a function of the transmitted power and the the attenuation parameters due to the fog and the scintillation effect: …”

Section: Average Channel Capacitymentioning

confidence: 92%

“…where k = 2π/λ is the wave number, λ is the wavelength, L stands for the link length and C 2 n represents the refractive index structure parameter, and it is proportional to the atmospheric turbulence strength [36]. The Rytov variance represents the normalized irradiance variance or the scintillation index and characterizes the turbulence strength as follows [3,37]:…”

Section: Channel Modelmentioning

confidence: 99%

“…More specifically, the instantaneous electrical signal-to-noise ratio (SNR) at the receiver, γ, behaves as a random variable and is given as [36]:…”

Section: Channel Modelmentioning

confidence: 99%

“…with K B being the Boltzmann constant, T abs being the absolute system temperature, F n is the photodiode noise figure, R L the load resistor [36], I D , is the dark current on photodetector [40], RIN the relative intensity noise process and a typical value is −130 dB/Hz, and q e is the electron charge, whereas I ph = P r η is the average receiver photocurrent [31]. Furthermore, it should be mentioned here that another significant performance mitigation factor of the FSO link, is the background, or the ambient noise, and is caused by the background radiation, which is collected by the lens of the receiver of the optical system in addition to the information signal [4,[41][42][43][44][45].…”

Section: Channel Modelmentioning

confidence: 99%

“…In practice, this metric represents the practical capacity, i.e., the maximum data rate, which can be supported by the optical channel under the specific circumstances. The average capacity C is given as [13,36]:…”

Section: Average Channel Capacitymentioning

confidence: 99%

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An Accurate Computational Tool for Performance Estimation of FSO Communication Links over Weak to Strong Atmospheric Turbulent Channels

et al. 2017

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Abstract:The terrestrial optical wireless communication links have attracted significant research and commercial worldwide interest over the last few years due to the fact that they offer very high and secure data rate transmission with relatively low installation and operational costs, and without need of licensing. However, since the propagation path of the information signal, i.e., the laser beam, is the atmosphere, their effectivity affects the atmospheric conditions strongly in the specific area. Thus, system performance depends significantly on the rain, the fog, the hail, the atmospheric turbulence, etc. Due to the influence of these effects, it is necessary to study, theoretically and numerically, very carefully before the installation of such a communication system. In this work, we present exactly and accurately approximate mathematical expressions for the estimation of the average capacity and the outage probability performance metrics, as functions of the link's parameters, the transmitted power, the attenuation due to the fog, the ambient noise and the atmospheric turbulence phenomenon. The latter causes the scintillation effect, which results in random and fast fluctuations of the irradiance at the receiver's end. These fluctuations can be studied accurately with statistical methods. Thus, in this work, we use either the lognormal or the gamma-gamma distribution for weak or moderate to strong turbulence conditions, respectively. Moreover, using the derived mathematical expressions, we design, accomplish and present a computational tool for the estimation of these systems' performances, while also taking into account the parameter of the link and the atmospheric conditions. Furthermore, in order to increase the accuracy of the presented tool, for the cases where the obtained analytical mathematical expressions are complex, the performance results are verified with the numerical estimation of the appropriate integrals. Finally, using the derived mathematical expression and the presented computational tool, we present the corresponding numerical results, using common parameter values for realistic terrestrial free space optical communication systems.

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Section: Average Channel Capacitymentioning

confidence: 92%

Section: Channel Modelmentioning

confidence: 99%

“…More specifically, the instantaneous electrical signal-to-noise ratio (SNR) at the receiver, γ, behaves as a random variable and is given as [36]:…”

Section: Channel Modelmentioning

confidence: 99%

Section: Channel Modelmentioning

confidence: 99%

Section: Average Channel Capacitymentioning

confidence: 99%

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An Accurate Computational Tool for Performance Estimation of FSO Communication Links over Weak to Strong Atmospheric Turbulent Channels

et al. 2017

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Improved transmission length in the presences of ambient noise and scintillation effect using duobinary modulation in 40 Gbps free space optical channel

Manzoor

et al. 2020

Micro & Optical Tech Letters

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Free space optical (FSO) communication has gained significant popularity in recent years due to large bandwidth, license‐free spectrum, high data rates, less power consumption, and low mass requirements. However, system performance strongly depends on atmospheric conditions and ambient noise. In this letter, the duobinary modulation technique is applied and the system performance is investigated in the presence of ambient noise. The system is evaluated on the basis of Q‐factor, eye diagram, input power, transmission distance, and bit error rate. A significant improvement is observed in the presence of noise while using duobinary modulation. This study exploits extensive simulations to investigate the performance of the system. All simulations are performed for a single link of FSO communication network having a data rate of 40 Gbps in the Optisystem simulator and ambient noise is created using LEDs. After the exhaustive set of simulations, a significant improvement in transmission length is observed. It is also observed that at low input power, doubinary modulation provides better results when compared with on‐off keying (OOK) format. Scintillation effect has also be observed for doubinary modulation and compared with OOK modulation format. It is concluded that doubinary modulation provides better results in the presence of low and moderate scintillation.

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Disaster management using free space optical communication system

Jeyaseelan

Kumar

Caroline³

2019

Photon Netw Commun

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Capacity estimation of optical wireless communication systems over moderate to strong turbulence channels

Cited by 32 publications

References 12 publications

An Accurate Computational Tool for Performance Estimation of FSO Communication Links over Weak to Strong Atmospheric Turbulent Channels

An Accurate Computational Tool for Performance Estimation of FSO Communication Links over Weak to Strong Atmospheric Turbulent Channels

Improved transmission length in the presences of ambient noise and scintillation effect using duobinary modulation in 40 Gbps free space optical channel

Disaster management using free space optical communication system

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