On Capacity of Downlink Underwater Wireless Optical MIMO Systems With Random Sea Surface

Zhang, Huihui; Dong, Yuhan; Hui, Like

doi:10.1109/lcomm.2015.2484355

Cited by 39 publications

(15 citation statements)

References 11 publications

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“…Temporal dispersion arising from multiple scattering events may result in inter‐symbol interference (ISI), further limiting the link range and/or capacity [11, 15]. This necessitates the deployment of efficient techniques that improves the quality of UWOC links, such as efficient modulation and coding schemes [16–20], optical amplification [21, 22] and spatial diversity (SD) [22, 23].…”

Section: Introductionmentioning

confidence: 99%

“…Multiple‐input–multiple‐output (MIMO) systems using multiple LED sources and photo‐diode (PD) detectors are also attractive for visible light communication (VLC) as they offer a capacity gain proportional to the number of parallel single‐input–single‐output (SISO) channels [26]. Recent research works have also revealed that SD can indeed offer significant system performance enhancements comparing to conventional SISO schemes [22, 23, 27].…”

Section: Introductionmentioning

confidence: 99%

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Performance of underwater optical wireless communication with multi‐pulse pulse‐position modulation receivers and spatial diversity

Peppas

Boucouvalas

Ghassemloy

2017

IET Optoelectronics

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance of underwater optical wireless communication with multi‐pulse pulse‐position modulation receivers and spatial diversity

Peppas

Boucouvalas

Ghassemloy

2017

IET Optoelectronics

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“…In this regard, the connectivity is also closely related to the link reliability that is mainly affected by the pointing errors and misalignment of the optical transceivers. Pointing and alignment errors are generally caused by random movements of the sea surface [15], [16], depth depended variations and deep currents [17], and oceanic turbulence [18]. Therefore, there is a dire need for a accurate pointing, acquisition, and tracking (PAT) mechanisms of optical transceivers to sustain reliable singlehop links.…”

mentioning

confidence: 99%

Performance Analysis of Connectivity and Localization in Multi-Hop Underwater Optical Wireless Sensor Networks

Saeed

Çelik

Alouini

et al. 2019

IEEE Trans. on Mobile Comput.

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Underwater optical wireless links have limited range and intermittent connectivity due to the hostile aquatic channel impairments and misalignment between the optical transceivers. Therefore, multi-hop communication can expand the communication range, enhance network connectivity, and provide a more precise network localization scheme. In this regard, this paper investigates the connectivity of underwater optical wireless sensor networks (UOWSNs) and its impacts on the network localization performance. Firstly, we model UOWSNs as randomly scaled sector graphs where the connection between sensors is established by point-to-point directed links. Thereafter, the probability of network connectivity is analytically derived as a function of network density, communication range, and optical transmitters' divergence angle. Secondly, the network localization problem is formulated as an unconstrained optimization problem and solved using the conjugate gradient technique. Numerical results show that different network parameters such as the number of nodes, divergence angle, and transmission range significantly influence the probability of a connected network. Furthermore, the performance of the proposed localization technique is compared to well-known network localization schemes and the results show that the localization accuracy of the proposed technique outperforms the literature in terms of network connectivity, ranging error, and number of anchors.

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“…In order to implement these link configurations, it is necessary to use suitable projection system that employ lens groups. In order to expand the UOWC covered area and improve the system performance, various transmission schemes can be used [107][108][109][110][111][112][113].…”

Section: The Transmitter (Tx)mentioning

confidence: 99%

Underwater Optical Wireless Communications: Overview

Spagnolo

Cozzella

Leccese

2020

Sensors

236

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Underwater Optical Wireless Communication (UOWC) is not a new idea, but it has recently attracted renewed interest since seawater presents a reduced absorption window for blue-green light. Due to its higher bandwidth, underwater optical wireless communications can support higher data rates at low latency levels compared to acoustic and RF counterparts. The paper is aimed at those who want to undertake studies on UOWC. It offers an overview on the current technologies and those potentially available soon. Particular attention has been given to offering a recent bibliography, especially on the use of single-photon receivers.

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On Capacity of Downlink Underwater Wireless Optical MIMO Systems With Random Sea Surface

Cited by 39 publications

References 11 publications

Performance of underwater optical wireless communication with multi‐pulse pulse‐position modulation receivers and spatial diversity

Performance of underwater optical wireless communication with multi‐pulse pulse‐position modulation receivers and spatial diversity

Performance Analysis of Connectivity and Localization in Multi-Hop Underwater Optical Wireless Sensor Networks

Underwater Optical Wireless Communications: Overview

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