On the Performance of UAV-enabled Multihop V2V FSO systems over generalized α -μ Channels

Dautov, Kassen; Arzykulov, Sultangali; Nauryzbayev, Galymzhan; Kızılırmak, Refik Çağlar

doi:10.1109/coconet.2018.8476910

Cited by 11 publications

(10 citation statements)

References 24 publications

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“…The communications performance of UAVs as relays in 5G networks is evaluated [129]. Compared to fixed facilities, UAVs are less affected by atmospheric fading, are more likely to establish long-term LOS links with vehicles, and have relatively reliable A2G connection channels [130]. Second, UAVs can be flexibly deployed within the three dimensional (3D) and move around freely.…”

Section: ) Integration Of Rat In Iowcmentioning

confidence: 99%

Relay-Assisted Technology in Optical Wireless Communications: A Survey

et al. 2020

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When the distance between the source and the target is long, the signal will be affected by atmospheric turbulence, weather conditions and obstacles, which cannot support the information transmission. One of the existing solutions is to use relay-assisted technology (RAT). It makes the communications between the source and the destination possible under better channel conditions by setting up relay between the source and the destination. There are few comprehensive articles about relay-assisted technology in OWC. To fill this gap, this paper introduces the RAT of indoor optical wireless communications (IOWC), outdoor optical wireless communications (OOWC) and underwater optical wireless communications (UOWC) in different application scenarios, which has a better effect than direct communication between source and destination. The relay protocols, channel models, modulation techniques under three relay modes are reviewed. Finally, challenges of RAT in OWC are put forward and potential solutions are also given.

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Section: ) Integration Of Rat In Iowcmentioning

confidence: 99%

Relay-Assisted Technology in Optical Wireless Communications: A Survey

et al. 2020

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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%

“… ( a ) A typical A2A free space optical (FSO) link [ 61 ] and ( b ) schematic 2D of a UAV–UAV FSO system [ 27 ]. …”

Section: Figurementioning

confidence: 99%

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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“…Recently, unmanned aerial vehicles (UAVs) have received attention to serve as an aerial relay to enhance the coverage of geographical regions with high user density and heavy traffic loads [10], [11], which are also known as (a.k.a.) hot-spots.…”

Section: Introductionmentioning

confidence: 99%

UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

Arzykulov

Çelik

Nauryzbayev

et al. 2022

IEEE Trans. Cogn. Commun. Netw.

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Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been recognized as a promising technique to overcome spectrum scarcity and massive connectivity issues envisioned in next-generation wireless networks. This paper investigates the deployment of an unmanned aerial vehicle (UAV) as a relay that fairly serves many secondary users in a hot-spot region. The UAV deployment algorithm must jointly account for user clustering, channel assignment, and resource allocation sub-problems. We propose a solution methodology that obtains user clustering and channel assignment based on the optimal resource allocations for a given UAV location. This paper is the first to jointly derive closed-form optimal power and time allocations for generic cluster sizes of CCR-NOMA networks. Derivations consider many practical limitations, such as hardware impairments, imperfect channel estimates, and interference temperature constraints. Compared to numerical benchmarks, proposed solutions reach optimal max-min fair data rate by consuming and spending much less transmission power and computational time. The proposed clustering uses the optimal data rates and channel assignment approaches based on a linear bottleneck assignment (LBA) algorithm. Numerical results show that the LBA achieves 100% accuracy in more than five orders of magnitude less time than the optimal integer linear programming benchmark.

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On the Performance of UAV-enabled Multihop V2V FSO systems over generalized α -μ Channels

Cited by 11 publications

References 24 publications

Relay-Assisted Technology in Optical Wireless Communications: A Survey

Relay-Assisted Technology in Optical Wireless Communications: A Survey

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation

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