On the Development of Modular Optical Wireless Elements (MOWE)

Kaadan, Asaad; Refai, Hazem H.; LoPresti, Peter G.

doi:10.1109/glocomw.2015.7414194

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…The communication UAVs link is also known as the “air-to-air (A2A)” problem [ 27 , 56 , 60 , 61 , 62 ]. With the development of optical wireless technology in the field of UAVs, more and more researchers realize that a single UAV cannot accomplish tasks independently.…”

Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

“…In addition, in [ 62 ], the researchers also used the gamma-gamma logarithmic distribution atmospheric turbulence model to compare UAVs, the downlink of ground-to-UAV channel, and UAV-to-ground channel models of the uplink. In the case of low turbulence, the output power of the model is far from the Monte-Carlo simulation value, but in the case of moderate or strong turbulence, the output power value is in line with the simulation value.…”

Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

“…In order to further improve the link performance between UAVs, the researchers carried out a modular design on the optical wireless components. Specifically, the research team at the University of Oklahoma used multiple electrical interconnected optical components to form an optical wireless array, mainly planar, hemispherical, and spherical [ 62 ]. This flat or curved terminal formed by components has the advantages of low price, light weight, easy assembly, and scalability, and the modules form a continuous surface in a specific polygon, and each module can exist independently as a transceiver.…”

Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

“… Optical module and experiment scene: ( a ) modular wireless optical elements concept [ 62 ]; ( b ) triangular 10-module flat receiver array test [ 62 ]; and ( c ) developed optical antenna prototype [ 79 ]. …”

Section: Figurementioning

confidence: 99%

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Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Ding

Mei

Chih‐Lin

et al. 2020

Sensors

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With the continuous maturity of unmanned aerial vehicles (UAV) in materials, communications, and other related technologies, the UAV industry has developed rapidly in recent years. In order to cope with the diversified emerging business forms, the explosive growth of the scale of data traffic, number of terminal connections, high reliability, low-latency, and high transmission rate provided by the fifth generation (5G) network will inject new vitality into the development of the UAVs industry. In this paper, optical wireless technology is introduced into the UAV platform, combining theory with practical applications. We explain many research advances and key technologies in the four aspects of “air, space, earth, and sea” to achieve a strong and broadband communication link. This discussion focuses on link modeling, parameter optimization, experimental testing, and the status quo of UAVs in different application scenarios with optical wireless link configurations. At the same time, based on the current situation of UAV optical wireless technology, the technical problems and the research direction in the future are also discussed.

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Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

Section: Unmanned Aerial Vehicles (Uavs) Optical Wireless Communicmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

See 2 more Smart Citations

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Ding

Mei

Chih‐Lin

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Due to the lack of accurate node location information, it is unrealistic to determine the path of the AUV in advance to provide location services for all sensor nodes. This requires real-time dynamic adjustment of the AUV, and precise positioning algorithms for path planning [117]. Obviously, if the underwater robot can access all the sensor nodes in the network, the life cycle of the network will be maximized.…”

Section: Comparative Analysis and Research Prospectsmentioning

confidence: 99%

Overview of Vehicle Optical Wireless Communications

et al. 2020

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Effective information transmission between vehicles has become one of the solutions to improve road safety. Based on the huge advantages of optical wireless data transmission technology, this paper summarizes the research status of unmanned vehicles in optical wireless communication (OWC). The article not only studies the actual progress of building optical links through an unmanned vehicle, connecting air communication, ground communication, and underwater communication into a unified wireless network, and realizing the fast, stable, large-capacity data transmission system. The technical challenges of unmanned vehicle OWC are also discussed and its future development has prospected. INDEX TERMS optical wireless communication, communication and networking, unmanned aerial vehicles, ground operated vehicles, autonomous underwater vehicle

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Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery Using Unsupervised Machine Learning

2020

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Multiuser free-space optical communication (FSOC) is beginning to draw a significant attention for its ability to support increased system network capacity while using single receiving photodiode and satisfying size, weight, and power (SWaP) constraints imposed by space-and aerial-based mobile communication. Despite these advantages, support of multiuser capabilities cause increased system complexity due to accommodating heterogenous users communications with varying transmission and data rate requirements. Machine learning (ML) has recently been considered as a promising approach for introducing cognition into the network to mitigate some of the complexity. A cognitive method based on unsupervised ML was derived for estimating the number of users communicating and sharing time and bandwidth resources with a single-node receiver. A weighted clustering approach was introduced and experimentally validated when users received with similar amplitude information that results in underestimation. Obtained results confirmed that the proposed methodology was able to accurately differentiate the number of simultaneously transmitting users with accuracy greater than 92%-even in the presence of moderate atmospheric turbulence. An experimental analysis was conducted to determine data size and receiver sampling rate requirements for accurate estimation. Furthermore, an empirical model was derived to evaluate the effect of preamble signal length given a particular sampling rate on the accuracy of the estimation. The model was validated for up-to four users.

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On the Development of Modular Optical Wireless Elements (MOWE)

Cited by 6 publications

References 19 publications

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Overview of Vehicle Optical Wireless Communications

Cognitive Multi-Point Free Space Optical Communication: Real-Time Users Discovery Using Unsupervised Machine Learning

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