Network Topology Reconfiguration for FSO-Based Fronthaul/Backhaul in 5G+ Wireless Networks

Gu, Zhiqun; Zhang, Jiawei; Bai, Lin; Sun, Xiang

doi:10.1109/access.2018.2880880

Cited by 49 publications

(42 citation statements)

References 30 publications

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“…However, one of the inherent difficulties for FSO communication is the requirement for a reliable LoS. In (Gu et al, 2018), the authors first proposed a greedy algorithm to optimize the network sum rate and overall power cost and to obtain the policies for connecting path and routing. Moreover, two network reconfiguration solutions to deal with the link failure and dynamic traffic demand changement were proposed, respectively.…”

Section: Free-space Opticalmentioning

confidence: 99%

A Survey on Integrated Access and Backhaul Networks

2021

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Benefiting from the usage of the high-frequency band, utilizing part of the large available bandwidth for wireless backhauling is feasible without considerable performance sacrifice. In this context, integrated access and backhaul (IAB) has been proposed by the Third Generation Partnership Project (3GPP) to reduce the expenses related to the deployment of fiber optics for 5G and beyond networks. In this paper, first, a brief introduction of IAB based on the 3GPP release is presented. Then, the existing research on IAB networks based on 3GPP specifications and possible non-3GPP research extensions are surveyed. The research on non-3GPP extensions includes the integration of IAB networks with other advanced techniques beyond the currently defined protocol stacks, such as the integration of IAB to cache-enabled, optical communication transport, and non-terrestrial networks. Finally, the challenges and opportunities related to the development and commercialization of the IAB networks are discussed.

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Section: Free-space Opticalmentioning

confidence: 99%

A Survey on Integrated Access and Backhaul Networks

2021

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“…2 UAV-assisted backhaul networks have been dealt in Google's Loon project [24] as well as in report for future aerial communication networks [25]. Furthermore, FSOC-based backhauling in wireless networks has been covered in various works [26], [27].…”

Section: )mentioning

confidence: 99%

A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time

Lee

Park

et al. 2020

IEEE Trans. Wireless Commun.

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In this work, we address the trajectory optimization of a fixed-wing unmanned aerial vehicle (UAV) using free space optical communication (FSOC). Here, we focus on maximizing the flight time of the UAV by considering practical constraints for wireless UAV communication, including limited propulsion energy and required data rates. We find optimized trajectories in various atmospheric environments (e.g., moderate-fog and heavy-fog conditions), while also considering the channel characteristics of FSOC. In addition to maximizing the flight time, we consider the energy efficiency maximization and operation-time minimization problem to find the suboptimal solutions required to meet those constraints.Furthermore, we introduce a low-complexity approach to the proposed framework. In order to address the optimization problem, we conduct a bisection method and sequential programming and introduce a new feasibility check algorithm. Although our design considers suboptimal solutions owing to the nonconvexity of the problems, our simulations indicate that the proposed scheme exhibits a gain of approximately 44.12% in terms of service time when compared to the conventional scheme. Free space optical communication (FSOC), wireless communications with an unmanned aerial vehicle (UAV), UAV-mounted FSOC, flight time maximization, trajectory design. I. INTRODUCTION Recently, unmanned aerial vehicles (UAVs) have attracted a great deal of attention in the area of wireless communication networks. Owing to their mobility and flexibility, UAVs can be dispatched as a mobile entity in a network. It can provide new opportunities in various communication applications and have the capability to complement conventional fixed networks. UAV-assisted communications can efficiently support already existing terrestrial communication infrastructure, including data offloading at a hot spot [1], [2]. For example, in case of a catastrophic event, UAV-mounted infrastructures can temporarily support service recovery initiatives and local interim communication facilities for potentially damaged infrastructures [3]. In addition, UAV-assisted relaying can help to extend base station connectivity, from one station to another, in situations where the nodes are widely scattered and/or obstacles such as hills or large buildings are present [4].Principally, we envision that most future networks will be highly user-centric, increasing the user demand information due to an exponential increase in the internet of things (IoT), fifth-generation (5G) mobile networks, and beyond-5G wireless networks. Accordingly, UAVmounted fronthaul and backhaul frameworks have been considered as a promising approach to handle unexpected or temporarily large amounts of information that is commonly required by user terminals [5], [6]. By leveraging the UAV-mounted fronthaul and backhaul links, large-scale projects are now underway in several research groups and information technology companies,including Global Access to the Internet for All (GAIA) [7], Project Loon by Google [8], and...

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“…In addition, in recent years, due to the improvement of image sensor technology, researchers have also tried to use the camera as a receiving element of the optical wireless link. In [ 126 ], the communication performance of the ground sensor based on OWC technology to set up the optical transmission link between the UAV under the background radiation such as sunlight was studied. In this study, the transmission power at the ground end is fixed, the communication performance is analyzed by calculating the optical power at the receiving end, and the OWC link can achieve a bit rate in Gb/s by measuring the data.…”

Section: Unmanned Aerial Vehicles (Uav) Ground Terminal Optical Wimentioning

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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Network Topology Reconfiguration for FSO-Based Fronthaul/Backhaul in 5G+ Wireless Networks

Cited by 49 publications

References 30 publications

A Survey on Integrated Access and Backhaul Networks

A Survey on Integrated Access and Backhaul Networks

A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time

Frontier Progress of Unmanned Aerial Vehicles Optical Wireless Technologies

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