Investigation on the UAV-To-Satellite Optical Communication Systems

Li, Mi; Hong, Yifeng; Zeng, Cheng; Song, Yuejiang; Zhang, Xuping

doi:10.1109/jsac.2018.2864419

Cited by 71 publications

(42 citation statements)

References 23 publications

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“…As the performance of radar systems is limited by target scintillations, the application of MIMO techniques to synthetic aperture radars (SARs) can also greatly improve the resolution and sensitivity as well as detection and estimation performance of NTN-based applications for the IIoT by exploiting the diversity of target scattering [64]. Data rates in the multigigabit regime can be achieved using free-space-optical (FSO) inter-satellite, inter-platform, satellite-to-platform, satellite-to-ground, and platform-to-ground connections [65,66]. Additionally, non-orthogonal multiple access (NOMA) represents a promising solution to facilitate the evolution of mMTC and improve the spectral efficiency by enabling non-orthogonal data transmission and exploiting successive interference cancellation (SIC) [42].…”

Section: State Of the Art In Wireless Communication And Networking Tementioning

confidence: 99%

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Michailidis

Potirakis

Kanatas

2020

IoT

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During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped with strategically placed sensors and actuators. This paper justifies why non-terrestrial networks (NTNs) will bring the IIoT vision closer to reality by providing improved data acquisition and massive connectivity to sensor fields in large and remote areas. NTNs are engineered to utilize satellites, airships, and aircrafts, which can be employed to extend the radio coverage and provide remote monitoring and sensing services. Additionally, this paper describes indicative delay-tolerant massive IIoT and delay-sensitive mission-critical IIoT applications spanning a large number of vertical markets with diverse and stringent requirements. As the heterogeneous nature of NTNs and the complex and dynamic communications scenarios lead to uncertainty and a high degree of variability, conventional wireless communication technologies cannot sufficiently support ultra-reliable and low-latency communications (URLLC) and offer ubiquitous and uninterrupted interconnectivity. In this regard, this paper sheds light on the potential role of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), in the provision of challenging NTN-based IIoT services and provides a thorough review of the relevant research works. By adding intelligence and facilitating the decision-making and prediction procedures, the NTNs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics with significantly lower complexity compared to typical optimization methods.

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Section: State Of the Art In Wireless Communication And Networking Tementioning

confidence: 99%

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Michailidis

Potirakis

Kanatas

2020

IoT

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“…Considering the storage and long transmission of UAVs, Mi Li et al from Nanjing University proposed to construct an optical wireless link between UAVs and satellites. UAVs are used as communication relays to first send data to satellites and then to ground stations, to improve the overall performance of data return [ 46 ]. The communication link is mainly affected by the Doppler effect, pointing error, and atmospheric turbulence effect.…”

Section: Unmanned Aerial Vehicle (Uav)-satellite Optical Wireless mentioning

confidence: 99%

“…When a UAV is used as a communication terminal, the UAV and artificial satellites cannot stay relatively still, so researchers must fully consider the Doppler effect introduced by the relative motion between the two. Specifically, Figure 3 shows the schematic diagram of optical downlink, uplink, and Doppler effect between the UAV and artificial satellites [ 46 ]. In terms of uplink, Mi Li et al obtained the joint probability distribution of beam center deviation caused by pointing error and beam drift effect by convolution.…”

Section: Unmanned Aerial Vehicle (Uav)-satellite Optical Wireless mentioning

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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“…In addition, the inhomogeneities in pressure and temperature changes in the atmosphere causes turbulence resulting in the variations in refractive index. Thus, the optical signal arriving at the receiver fluctuates [1][2][3][4]. To improve the performance of the receiver, the coherent detection in the receiver can be employed.…”

Section: Introductionmentioning

confidence: 99%

Phase Offset Tracking for Free Space Digital Coherent Optical Communication System

Huang

Wang

et al. 2019

Applied Sciences

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The coherent receiving method can improve the sensitivity of an optical signal receiver for free space optical communication system effectively. To implement coherent receiving, the phase offset between the local laser in the receiver and the received optical signal through the atmosphere needs to be measured and estimated. The commonly used algorithm is the Viterbi-Viterbi phase offset estimation method (VVPE) and this method always produces great errors especially with low SNR (signal to noise ratio). To improve the estimation performance, we present a new method combing the VVPE with the Kalman filter (VVPE-KF) to estimate the phase offset. This method can lower the estimation error by no less than 60%, when the SNR is low. To verify the performance of this new method, the constant parameter channel and atmosphere turbulence channel are employed to evaluate the algorithm. The impact of the atmosphere turbulence intensity on the tracking error is discussed.

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Investigation on the UAV-To-Satellite Optical Communication Systems

Cited by 71 publications

References 23 publications

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

Phase Offset Tracking for Free Space Digital Coherent Optical Communication System

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