BER Performance of FSO Links over Unified Channel Model for Pointing Error Models

Jung, Kug-Jin; Nam, Sung Sik; Ko, Young-Chai; Alouini, Mohamed‐Slim

doi:10.1109/iccw.2018.8403735

Cited by 8 publications

(7 citation statements)

References 7 publications

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“…The pointing error is the angle between the transmitting optical axes with and without wavefront aberrations [12]. It is the result of fluctuation of the transmitter, receiver, and other communication modules over the channel, and is generally modeled by Beckman, Rayleigh, Rician, Hoyt, Gaussian, or single-sided and shifted Gaussian distributions 1 [13]- [15]. Atmospheric 1 The pointing error is characterized by its vertical and horizontal components.…”

Section: Introductionmentioning

confidence: 99%

“…Atmospheric 1 The pointing error is characterized by its vertical and horizontal components. The Rayleigh distribution has been shown to be suitable to situations where the vertical and horizontal components of the displacement have the same variance and mean [13]. Similarly, the single-sided Gaussian distribution can be used to model pointing errors when only one direction is affected by a displacement of zero-mean.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the single-sided Gaussian distribution can be used to model pointing errors when only one direction is affected by a displacement of zero-mean. The Rician distribution is employed when both horizontal and vertical distributions have zero-means with the same variance, while Hoyt models pointing errors for zero-means horizontal and vertical displacement with different variances [13].…”

Section: Introductionmentioning

confidence: 99%

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Symbolic Meta-Modeling of RIS-Assisted FSO Communication Channels

Ndjiongue¹,

Ngatched²,

Dobre³

et al. 2023

Preprint

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<p>This paper derives symbolic models for end-to-end RIS-assisted FSO systems built on the fading model's probability density functions (PDFs) characterizing the sub-channels. We study some of the most popular models and derive closed-form expressions of PDFs, cumulative distributions, and moment-generating functions that are further exploited to analyze systems’ performance. By comparing scenarios in which the sub-channels are similar and different, we provide a clear understanding of how the overall RIS-assisted FSO channel behaves, along with comparative results based on commonly used models.</p>

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Symbolic Meta-Modeling of RIS-Assisted FSO Communication Channels

Ndjiongue¹,

Ngatched²,

Dobre³

et al. 2023

Preprint

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“…In the literature, several channel models have been adopted for OWC including the Gamma-Gamma, exponential and Rician [13], [18], [19]. Moreover, the random pointing error in OWC are typically modeled as Rician [20]- [22]. The Rician channel model is of particular interest because it is also widely adopted in wireless communications systems, such as massive multiple-input multipleoutput (MIMO) systems [23]- [27], and satellite/drone to ground channels [28], [29].…”

Section: Introductionmentioning

confidence: 99%

Error Rate Analysis of Amplitude-Coherent Detection Over Rician Fading Channels With Receiver Diversity

Al‐Jarrah

Park

Al-Dweik

et al. 2020

IEEE Trans. Wireless Commun.

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Amplitude-coherent (AC) detection is an efficient detection technique that can simplify the receiver design while providing reliable symbol error rate (SER). Therefore, this work considers AC detector design and SER analysis using M -ary amplitude shift keying (MASK) modulation over Rician fading channels. More specifically, we derive the optimum, near-optimum and a suboptimum AC detectors and compare their SER to the coherent, noncoherent and the heuristic AC detectors. Moreover, the analytical SER of the heuristic detector is derived using two different approaches for single and multiple receiving antennas. One of the derived expressions is expressed in terms of a single integral that can be evaluated numerically, while the second approach gives a closed-form analytical expression for the SER, which is also used to derive a simple formula for the asymptotic SER at high signal-to-noise ratios (SNRs).The obtained analytical and simulation results show that the SER of the AC and coherent MASK detectors are comparable, particularly for high values of the Rician K-factor, and small number of receiving antennas. Moreover, the obtained results show that the SER of the optimal AC detector is equivalent to that of the coherent detector.However, the optimal AC detector complexity is prohibitively high, particularly at high SNRs. In most of the scenarios, the heuristic AC detector significantly outperforms the optimum noncoherent detector, except for the binary ASK case at low SNRs. Moreover, the obtained results show that the heuristic AC detector is immune to phase noise, and thus, it outperforms the coherent detector in scenarios where system is subject to considerable phase noise.keywords: Optical wireless communications (OWC), free space optics (FSO), non-coherent, semi-coherent, amplitudecoherent, Rician, Ricean, receiver diversity, phase noise. the channel gain, which can be obtained blindly and efficiently for single and multicarrier modulation schemes [30].The channel phase information is not required, which is the main factor that contributes to the complexity reduction of the detector. The optimum, suboptimum and a heuristic detectors are derived in Rayleigh fading channels, and the performance of the heuristic detector is evaluated with and without perfect knowledge of the channel gain in [1] and [30], respectively. The optimum amplitudes of the transmitted MASK symbols are then derived for multibranch detectors in [31]. However, the Rayleigh fading model is limited to wireless applications with no line-of-sight (LoS) signal component. Therefore, applying the AC detector and evaluating its performance in a more general channel model is indispensable.Consequently, this paper considers applying the AC detection technique to communications system in Rician fading channels with single and multiple receiving antennas. More specifically, the optimum AC detector is derived, and its SER is compared with the optimum coherent and noncoherent MASK detectors. Moreover, the SER of the heuristic detector [1] is derived usin...

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“…Log‐normal and gamma—gamma/Rician are studied in [2] while gamma–gamma/Raylight is shown in [11]. Additionally, [12] analysed the bit error rate (BER) performance of FSO links over the gamma–gamma channel with various PE models.…”

Section: Introductionmentioning

confidence: 99%