Towards 6G with Connected Sky: UAVs and Beyond

Mozaffari, Mohammad; Lin, Xingqin; Hayes, Stephen

doi:10.48550/arxiv.2103.01143

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…In addition, providing efficient connectivity for flying UAVs face several challenges, such as interference routing and mobility issues (I. U. Khan et al, 2020), Sidelobe and Antenna tilt (Mozaffari et al, 2021). Vehicle to Everything (Amin et al, 2015).…”

Section: Future Research Directions For Fanetsmentioning

confidence: 99%

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

Pasandideh

Costa

Kunst

et al. 2023

Journal of Field Robotics

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Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and form flying ad hoc networks (FANETs) to perform many different missions, ranging from delivery tasks to agriculture applications. Recently, FANETs have been integrated with different technologies, such as artificial intelligence (AI), virtual reality, and Internet of Things. Such new avenues for the use of UAVs directly impact the research on FANETs and cause some major challenges, such as security and physical layer issues, resource management, and UAV positioning issues that need to be addressed. Several researchers have been working for the last few years to propose AI and machine learning (ML)‐based solutions for different use cases in UAV‐based networks. They present the limitations of the existing research work and highlight some possible future works on FANETs. However, exhibiting the trends in the UAV research papers in a quantitative manner is still required to motivate researchers to rethink the research on FANETs. Therefore, this study covers more than 170 scientific publications extracted from five trusted academic databases published from 2013 to 2021 to provide a thorough overview of the main research and development statistics in the area of FANETs, the open challenges existing in this area and the ML‐based solutions to solve these challenges. In addition, the investigation of emerging technologies integrated with FANETs, as well as the simulation tools employed for evaluating FANETs' performance are discussed. Moreover, the future research directions in the area of FANETs are considered within a prospective vision discussion.

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Section: Future Research Directions For Fanetsmentioning

confidence: 99%

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

Pasandideh

Costa

Kunst

et al. 2023

Journal of Field Robotics

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“…Apart from only increasing communication speed and capacity of WI UAV [37], some of other interesting WI UAV-related enhancements goals in Rel-18 also known as "6G and beyond drones" are RAN enhancements for the remote control of drones, rogue drone detection to improve the situational awareness of first responders, Internet of drones or a connected sky with drones [38], marine communication drone [39] etc. Moreover, with a recent inspiring example, the NASA's perseverance rover carrying a drone helicopter landed on Mars on February 18, 2021, interplanetary drone communications and networking will be considered on the path to 6G and beyond [38], [40].…”

Section: B Wireless Connectivity Standardizationmentioning

confidence: 99%

6G NR-U Based Wireless Infrastructure UAV: Standardization, Opportunities, Challenges and Future Scopes

et al. 2022

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Providing ubiquitous connectivity for people and equipment with a wide range of service conditions is regarded as the major design goal of 6G networks. Moreover, the future 6G networks need to be extremely flexible to enable reliable and low-latency access for the dynamic number of mobile user equipment. The current base stations (BSs) and remote relay antennas are mostly, on the other hand, installed at fixed geographic locations based on long-term traffic patterns with little re-deployment flexibility. For most 6G applications, where dynamic data traffic occurs in both spatial and temporal domains, such rigid radio access networks (RANs) are unable to maintain ubiquitous connectivity. On the other hand, the rapid advancement of unmanned aerial vehicle (UAV) technology is creating a unique opportunity for the cellular operator to realize flying wireless infrastructure called wireless infrastructure UAV (WI UAV). WI UAV supports wireless connectivity and can stir itself to improve spectral efficiency, coverage, and quality of service of the end-users. This paper introduces 6G new radio in the unlicensed band (NR-U)-based WI UAV that can be used as a base station, relay, or data collector/disseminator. UAV are categorized based on their characteristics, applications, and operations. Further, this paper discusses various regulatory and standardization initiatives for integrating UAVs into the cellular network. Non-standalone NR-U network architecture is designed and explained for WI UAV. Several opportunities and design challenges of NR-U for the WI UAV are discussed and future scopes of WI UAVs are presented.

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“…[11]- [14], is that only a few (maybe only one) UAVs exist in a large area. However, as predicted by Federal Aviation Administration (FAA), the number of commercial UAV fleets can reach up to 1.6 millions by 2024 [15], [16]. In [17], a typical use case of cellular-connected UAVs is recognized as the package delivery, e.g.…”

Section: Introductionmentioning

confidence: 99%

On the Scheduling and Power Control for Uplink Cellular-Connected UAV Communications

Cai¹,

Kovács²,

Wigard³

et al. 2021

Preprint

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Cellular connected unmanned aerial vehicle (UAV) has been identified as a promising paradigm and attracted a surge of research interest recently. Although the nearly line-of-sight (LoS) channels are favorable to receive higher powers, UAVs can in turn cause severe interference to each other and to any other users in the same frequency band. In this contribution, we focus on the uplink communications of cellular-connected UAVs. To cope with the severe interference among UAV-UEs, several different scheduling and power control algorithms are proposed to optimize the spectrum efficiency (SE) based on the geometrical programming (GP) principle together with the successive convex approximation (SCA) technique. The proposed schemes include maximizing the sum SE of UAVs, maximizing the minimum SE of UAVs, etc., applied in the frequency domain and/or the time domain.Moreover, the quality of service (QoS) constraint and the uplink single-carrier (SC) constraint are also considered.The performances of these power and resource allocation algorithms are evaluated via extensive simulations in both full buffer transmission mode and bursty traffic mode. Numerical results show that the proposed algorithms can effectively enhance the uplink SEs of cellular-connected UAVs.

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Towards 6G with Connected Sky: UAVs and Beyond

Cited by 3 publications

References 6 publications

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives

6G NR-U Based Wireless Infrastructure UAV: Standardization, Opportunities, Challenges and Future Scopes

On the Scheduling and Power Control for Uplink Cellular-Connected UAV Communications

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