Challenges of aeronautical data networks

Erturk, M. Cenk; Haque, Jamal; Arslan, Hüseyin

doi:10.1109/aero.2010.5446920

Cited by 13 publications

(9 citation statements)

References 6 publications

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“…On the other hand, aircraft based Aeronautical Data Networks (ADN) and in-flight Internet through aeronautical ad-hoc networking (AANET) is considered as promising solutions for future wireless communication architecture by NASA, FAA, EU, etc. [23]. AANET offers muti-hop and ad-hoc networking between aircraft, in addition to direct communication links with ground stations and satellite terminal.…”

Section: B Air-air Communicationsmentioning

confidence: 99%

“…The same concept was further extended when the programs lead by National Aeronautics and Space Administration (NASA), Federal Aviation Administration (FAA), EUROCONTROL and Networking the Sky for Civil Aeronautical Communications (NEWSKY) presented the idea of aeronautical networks. The aeronautical networks could assure a low delay and cost-effective data network to an aeronautical platform [23]. However, the performance of all these aeronautical networks was limited by the scarcity of interference free spectrum for seamless communication.…”

Section: E In-flight Infotainment Systemsmentioning

confidence: 99%

“…In [21], the need for the cognitive radio for aeronautical communication systems is highlighted, and the architecture for the spectrum sensing based cognitive aeronautical communication network is presented. In [23], various issues of the physical layer of the aeronautical communication network, not specific to cognitive radio, are discussed. In particular, the topology, connectivity, and robustness issues for the aeronautical communication links from the perspective Turkey airspace are discussed.…”

Section: A Related Workmentioning

confidence: 99%

“…On the other hand in this work, all three operating modes, including underlay and overlay modes, are considered, and an exhaustive survey of the cognitive radio for aeronautical communication systems along with the open problems in the physical layer of the network are presented. Aeronautical communication and cognitive radio based networks are the focus of [23] and [25], respectively. On the other hand, this paper focuses on the aeronautical cognitive radio based networks.…”

Section: A Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Cognitive Radio for Aeronautical Communications: A Survey

et al. 2016

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Novel Air Traffic Management (ATM) strategies are proposed through the Next Generation Air Transportation (NextGen) and Single European Sky for ATM Research (SESAR) projects to improve the capacity of the airspace and to meet the demands of the future air traffic. The implementation of the proposed solutions leads to increasing use of wireless data for aeronautical communications. Another emerging trend is the unmanned aerial vehicles. The unmanned aerial systems (UASs) need reliable wireless data link and dedicated spectrum allocation for its operation. On-board broadband connectivity also needs dedicated spectrum to satisfy the quality of service (QoS) requirements of the users. With the growing demand, the aeronautical spectrum is expected to be congested. However, the studies revealed that the aeronautical spectrum is underutilized due to the static spectrum allocation strategy. The aeronautical communication systems such as air-air and airground communication systems, inflight infotainment systems, wireless avionics intra-communications (WAIC), and UAS can benefit significantly from the introduction of cognitive radio based transmission schemes. This article summarizes the current trends in aeronautical spectrum management followed by the major applications and contributions of cognitive radio in solving the spectrum scarcity crisis in the aeronautical domain. Also, to cope with the evolving technological advancement, researchers have prioritized the issues in the case of cognitive radio that needs to be addressed depending on the domain of operation. The proposed cognitive aeronautical communication systems should also be compliant with the Aeronautical Radio Incorporated (AR-INC) and Aerospace Recommended Practice (ARP) standards. An overview of these standards and the challenges that need immediate attention to make the solution feasible for a largescale operation, along with the future avenues of research is also furnished.

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Section: B Air-air Communicationsmentioning

confidence: 99%

Section: E In-flight Infotainment Systemsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

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Cognitive Radio for Aeronautical Communications: A Survey

et al. 2016

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“…Especially, combined with the development of data link in recent years, the airborne network based on wireless ad hoc network has played an important role in the field of aviation communication. The unmanned aerial vehicle (UAV) as the main body of UAV airborne network not only has the characteristics of traditional wireless ad hoc networks, such as dynamic topology, multi hop communication, distributed architecture and so on, but also has many other advantages, such as maneuvering speed, coverage is large in scale and the node energy [2]. This makes the UAV airborne network play a crucial role in monitoring air target tracking, space situation perception and interaction, no human machine automatic anti-collision, air land and sea collaborative operations and emergency rescue and other fields [3].…”

Section: Introductionmentioning

confidence: 99%

UAV 3D Mobility Model Based on Density Change Product

Wang¹,

Di²,

Wang³

et al. 2016

Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

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Abstract-The network performance of UAV airborne is closely relied on the movement of the mobile nodes which is decided by the mobility mode. And the selection of mobility model and its parameters is of great significance to the simulation results. Based on the three-dimensional Gauss Markova mobility model (3D-GMM), this paper expand GM by using visit density and the changeable trend, and propose a new three-dimensional Gauss Markova mobility model based on density change product (3D-DGMM). The results show that 3D_DGMM can simulate the movement of UAVs well and have higher event capture rate compared to 3D-GMM.

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UAV 3D Mobility Model Oriented to Dynamic and Uncertain Environment

Wang

Dai

et al. 2018

Algorithms and Architectures for Parallel Processing

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Challenges of aeronautical data networks

Cited by 13 publications

References 6 publications

Cognitive Radio for Aeronautical Communications: A Survey

Cognitive Radio for Aeronautical Communications: A Survey

UAV 3D Mobility Model Based on Density Change Product

UAV 3D Mobility Model Oriented to Dynamic and Uncertain Environment

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