Performance Analysis of a UAV-Assisted RF/FSO Relaying Systems for Internet of Vehicles

Xu, Guanjun; Song, Zhaohui

doi:10.1109/jiot.2021.3051211

Cited by 32 publications

(17 citation statements)

References 37 publications

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“…It is also to be noted by considering UAV, the combined channel gain and its statistics such as probability density function (PDF) and cumulative distribution function (CDF) will be entirely different. • Moreover, in recent works [28], [29] related to UAVbased mixed FSO/RF communication systems, non-zero boresight pointing error and the link interruption due to AoA fluctuations have been ignored in the FSO channel model and analysis. • Further, it is of practical significance to carry out the asymptotic analysis to derive the diversity gain and get more insights into the system performance.…”

Section: A Motivationsmentioning

confidence: 99%

“…2) Average SER: In a similar way, by applying [36, eq. (07.34.06.0040.01)] on (28), the asymptotic SER expression can be written as…”

Section: Asymptotic Analysismentioning

confidence: 99%

“…In [27], the performance of a UAV-based FSO system employing prepare and measure continuous-variable quantum key distribution (CV-QKD) protocol based on Gaussian modulation of quantum coherent states (GMCS) under collective attacks was investigated in terms of outage probability, quantum bit error rate (QBER), and secret key rate (SKR). In [28] and [29], the authors carried out the comprehensive performance analysis of UAV-based mixed FSO/RF system models for internet of vehicles (IoV) and space ground integrated network (SAGIN) scenarios, respectively. The atmospheric turbulence of FSO link in [28] and [29] is modeled using Málaga distribution and the RF link is modeled using κ-µ and shadowed Rician distributions, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…In [28] and [29], the authors carried out the comprehensive performance analysis of UAV-based mixed FSO/RF system models for internet of vehicles (IoV) and space ground integrated network (SAGIN) scenarios, respectively. The atmospheric turbulence of FSO link in [28] and [29] is modeled using Málaga distribution and the RF link is modeled using κ-µ and shadowed Rician distributions, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Performance Analysis of Hovering UAV-Based FSO Communication System

Singh

Swaminathan

2022

IEEE Photonics J.

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Unmanned-aerial-vehicle (UAV)-based communications are expected to play an important role in the future generation wireless communication networks. It is a promising solution to enhance the wireless connectivity of devices without infrastructure. As compared to the terrestrial communications, UAVs offer various advantages such as line-of-sight (LoS) connectivity, dynamic deployment and flexible reconfiguration. Further, free space optics (FSO) communication is considered as a possible solution to enable UAV-based communication links due to its cost effective and high bandwidth nature. However, despite offering large bandwidth, UAV-based FSO links are marred by atmospheric path loss, atmospheric turbulence, non-zero boresight pointing errors, and angle-of-arrival (AoA) fluctuations. In this paper, the performance of a hovering UAV-based FSO communication system is investigated. The closed-form expressions for outage probability, average symbol error rate (SER), and ergodic capacity are derived taking into account both heterodyne (HD) and direct detection (DD) techniques for ground-to-UAV (G2U), UAV-to-UAV (U2U), and UAV-to-ground (U2G) links over the generalized Málaga distribution. Moreover, the asymptotic expressions for the above performance metrics are also derived to get the diversity gain of the system.

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Section: A Motivationsmentioning

confidence: 99%

“…2) Average SER: In a similar way, by applying [36, eq. (07.34.06.0040.01)] on (28), the asymptotic SER expression can be written as…”

Section: Asymptotic Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comprehensive Performance Analysis of Hovering UAV-Based FSO Communication System

Singh

Swaminathan

2022

IEEE Photonics J.

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“…Further, in (Singya et al, 2020), ASER performance of various higher order complex QAM schemes is obtained for a mixed RF/FSO system with outdated channel state information. In (Xu and Song, 2021) and (Xu and Song, 2020), hybrid RF/FSO based communication systems are considered, where RF link is characterized with κ − μ distribution and the FSO link is characterized with the Mdistribution with pointing error impairments. For performance analysis, outage probability, asymptotic outage probability, ergodic capacity, and ABER results are obtained.…”

Section: Introductionmentioning

confidence: 99%

Mixed FSO/RF Based Multiple HAPs Assisted Multiuser Multiantenna Terrestrial Communication

Singya

Alouini

2022

Front. Comms. Net.

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In this work, a mixed free-space optics (FSO)/radio-frequency (RF) based multiple serial high altitude platforms (HAPs) assisted multiuser multiantenna terrestrial communication system is considered. For the considered multi-hop system, earth station to HAP and HAP to HAP links are assumed as FSO links, and HAP to terrestrial mobile users (MUs) link is assumed as RF link. At the FSO detector both the heterodyne detection and intensity modulation direct detection techniques are considered. Atmospheric turbulence of the ES to HAP FSO link is modeled with Gamma-Gamma fading along with the pointing error impairments. As HAP situates in the stratosphere, negligible atmospheric turbulence exists at HAP altitude (20 km), hence, only pointing error is considered for the inter HAP links. Further, the HAP consists of multiantenna array to provide high data-rates to the terrestrial users via RF links, considered to be Nakagami-m distributed. The intermediate HAPs perform selective decode-and-forward relaying and opportunistic user scheduling is performed for the best user selection. For the performance analysis, analytical expression of overall outage probability is obtained and the impact of various selection parameters like pointing error, FSO detection type, MU selection, number of antennas, and RF fading severity are observed on the outage performance. Asymptotic outage probability is also derived to obtain the diversity order of the considered communication system. Further, considering various modulation schemes, a generalized average bit-error-rate expression is derived and the impact of pointing error, FSO detection type, MU selection, number of antennas, and RF fading severity are observed on its performance. Finally, derived results are validated through Monte-Carlo simulations.

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A 4 × 20 Gbps inter-satellite optical wireless communication system based on orbital angular momentum multiplexing: performance evaluation

Armghan,

Alsharari,

Aliqab

et al. 2024

Opt Quant Electron

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Performance Analysis of a UAV-Assisted RF/FSO Relaying Systems for Internet of Vehicles

Cited by 32 publications

References 37 publications

Comprehensive Performance Analysis of Hovering UAV-Based FSO Communication System

Comprehensive Performance Analysis of Hovering UAV-Based FSO Communication System

Mixed FSO/RF Based Multiple HAPs Assisted Multiuser Multiantenna Terrestrial Communication

A 4 × 20 Gbps inter-satellite optical wireless communication system based on orbital angular momentum multiplexing: performance evaluation

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