Capacity Results of an Optical Intensity Channel With Input-Dependent Gaussian Noise

Moser, Stefan M.

doi:10.1109/tit.2011.2169541

Cited by 115 publications

(91 citation statements)

References 20 publications

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“…This can be well modeled as Gaussian and independent of the transmit signals [2], [11], [25], [35], [36]. This independence is reasonable in scenarios with strong ambient light and/or thermal noise [36], [37].…”

Section: A Channel Modelmentioning

confidence: 86%

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Capacity Bounds for the Gaussian IM-DD Optical Multiple-Access Channel

Chaaban

Al-Ebraheemy

Al-Naffouri

et al. 2017

IEEE Trans. Wireless Commun.

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Abstract-Optical wireless communications (OWC) is a promising technology for closing the mismatch between the growing number of connected devices and the limited wireless network capabilities. Similar to downlink, uplink can also benefit from OWC for establishing connectivity between such devices and an optical access point. In this context, the incoherent intensitymodulation and direct-detection (IM-DD) scheme is desirable in practice. Hence, it is important to understand the fundamental limits of communication rates over an OWC uplink employing IM-DD, i.e., the channel capacity. This uplink, modeled as a Gaussian multiple-access channel (MAC) for indoors OWC, is studied in this paper, under the IM-DD constraints which form the main difference with the standard Gaussian MAC commonly studied in the radio-frequency context. Capacity region outer and inner bounds for this channel are derived. The bounds are fairly close at high signal-to-noise ratio (SNR), where a truncatedGaussian input distribution achieves the capacity region within a constant gap. Furthermore, the bounds coincide at low SNR showing the optimality of on-off keying combined with successive cancellation decoding in this regime. At moderate SNR, an optimized uniformly-spaced discrete input distribution achieves fairly good performance.

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Section: A Channel Modelmentioning

confidence: 86%

“…Alternatively, it can be incorporated by using a Gaussian channel with input-dependent noise model similar to [37]. …”

Section: Discussionmentioning

confidence: 99%

Capacity Bounds for the Gaussian IM-DD Optical Multiple-Access Channel

Chaaban

Al-Ebraheemy

Al-Naffouri

et al. 2017

IEEE Trans. Wireless Commun.

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“…At the receiver side, the signal is disturbed by several sources of noise, such as ambient light and thermal noise. The resulting channel can be modeled as a Poisson channel [3] or an additive Gaussian noise channel [4], [5] depending on the regime of operation, the latter being more common in regimes with high received signal power. In this A. Chaaban is with the School of Engineering, University of British Columbia, Kelowna, BC Canada V1V 1V7.…”

Section: Introductionmentioning

confidence: 99%

“…In this context, the capacity of the singleinput single-output (SISO) IM-DD channel has been studied in [4], [11], [12]. The SISO IM-DD channel with input-dependent (relative intensity) Gaussian noise has been studied in [5]. The capacity of multi-user SISO IM-DD channels has been studied in [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Low-SNR Asymptotic Capacity of MIMO Optical Intensity Channels with Peak and Average Constraints

Chaaban

Rezki

Alouini

2018

IEEE Trans. Commun.

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Abstract-The low-SNR asymptotic capacity of the multipleinput multiple-output (MIMO) optical intensity channel is studied under both average and peak intensity constraints. We focus on low SNR, which can be modeled as the scenario where both constraints proportionally vanish, or where the peak constraint is held constant while the average constraint vanishes. A capacity upper bound is derived, and is shown to be tight at low SNR under both scenarios. The capacity achieving input distribution at low SNR is shown to be a maximally-correlated vectorbinary input distribution. Consequently, the low-SNR capacity of the channel is characterized. As a byproduct, it is shown that for a channel with peak intensity constraints only, or with peak intensity constraints and individual (per aperture) average intensity constraints, a simple scheme composed of coded onoff keying, spatial repetition, and maximum-ratio combining is optimal at low SNR.

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“…For these reasons, interest in OWC has increased recently [5]- [10]. Focus has been towards studying the performance of OWC systems employing intensity modulation and direct detection (IM-DD), established by modulating light intensity at the source and using an intensity detector at the destination.…”

Section: Introductionmentioning

confidence: 99%