A Novel Mirror-Aided Non-Imaging Receiver for Indoor $2\times 2$ MIMO-Visible Light Communication Systems

Park, Kihong; Oubei, Hassan M.; Alheadary, Wael G.; Ooi, Boon S.; Alouini, Mohamed‐Slim

doi:10.1109/twc.2017.2712689

Cited by 17 publications

(12 citation statements)

References 31 publications

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“…Next, we study the accuracy of the proposed statistical models for 2D and 3D systems in (16) and (20), respectively. For the simulation results, we plot the histogram of h g given by (11) and (17) for 2D and 3D systems, respectively. Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

Intelligent Reflecting Surfaces for Free Space Optical Communications

Najafi

Schober

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we investigate the use of intelligent reflecting surfaces (IRSs) (i.e., smart mirrors) to relax the lineof-sight requirement of free space optical (FSO) systems. We characterize the impact of the physical parameters of the IRS, such as its size, position, and orientation, on the quality of the end-to-end FSO channel. In addition, we develop a statistical channel model for the geometric and the misalignment losses which accounts for the random movements of the IRS, transmitter, and receiver due to building sway. This model can be used for performance analysis of IRS-based FSO systems. Our analytical results shows that depending on the angle between the beam direction and the IRS plane, building sway for the IRS has either a smaller or larger impact on the quality of the end-to-end FSO channel than building sway for the transmitter and receiver. Furthermore, our simulation results validate the accuracy of the developed channel model and offer insight for system design.

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Section: Simulation Resultsmentioning

confidence: 99%

Intelligent Reflecting Surfaces for Free Space Optical Communications

Najafi

Schober

2019

2019 IEEE Global Communications Conference (GLOBECOM)

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“…Therefore, the correlation between channels from different APs can be reduced [8]. A thin-lens imaging detector can partially or completely separate different APs with small distortion, but has a narrower FOV in comparison to non-imaging detectors [27] It is apparent that the divergence of channels from different APs is increased with the aid of a lens. Moreover, the lens can be added at the transmitter side if LED array is deployed, to improve the channel divergence between LEDs in an LED array [28].…”

Section: Optical Multiple-input-multiple-output (A) System Model Of Omentioning

confidence: 99%

Networked multiple-input-multiple-output for optical wireless communication systems

Hanzo

Chen

2020

Phil. Trans. R. Soc. A.

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“…In [19], Al-Ghamdi and Elmirghani studied the effect of adjusting triangular pyramid fly-eye angle diversity receivers' field of view (FoV) on the received signalto-noise ratio and the delay spread. In [20], Park et al considered a 2x2 multi-input multioutput VLC system and proposed a new receiver structure where a double-sided mirror is used to enhance the received light from one transmitter direction and block it from the other aiming at channel capacity improvement. In [21], Chen et al proposed and optimized an anglediversity based receiver to reduce the signal-to-interference plus noise ratio fluctuations at the VLC receivers plane for a multicell VLC indoor system for different LED layouts and diversity combining techniques.…”

Section: Introductionmentioning

confidence: 99%