Aeronautical Ad-Hoc Networking for the internet-above-the-clouds
Aeronautical Ad-Hoc Networking for the internet-above-the-clouds
The engineering vision of relying on the “smart sky” for supporting air traffic and the “internet-above-the-clouds” for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of air-to-ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking among commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of mobile ad hoc networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements, and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling, and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements, and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security, and interference, is reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multiobjective optimization algorithms are outlined.
868-911
Zhang, Jiankang
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Chen, Taihai
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Zhong, Shida
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Wang, Jingjing
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Zhang, Wenbo
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Zuo, Xin
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Maunder, Robert
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Hanzo, Lajos
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Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Taihai
c5107a09-2235-4adf-b71b-c1e4a3534732
Zhong, Shida
53d7aec0-58ef-4673-921b-86e22269675a
Wang, Jingjing
365655a4-47b5-4aec-89a9-83cf7467b467
Zhang, Wenbo
949b3fcf-0a51-4575-b6de-b4029bfbaf3f
Zuo, Xin
fb5e0bb2-65bf-4d9e-b9a3-6a2c39823c3a
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang, Chen, Taihai, Zhong, Shida, Wang, Jingjing, Zhang, Wenbo, Zuo, Xin, Maunder, Robert and Hanzo, Lajos
(2019)
Aeronautical Ad-Hoc Networking for the internet-above-the-clouds.
Proceedings of the IEEE, 107 (5), .
(doi:10.1109/JPROC.2019.2909694).
Abstract
The engineering vision of relying on the “smart sky” for supporting air traffic and the “internet-above-the-clouds” for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical ad hoc networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of air-to-ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking among commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of mobile ad hoc networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements, and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling, and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements, and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security, and interference, is reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multiobjective optimization algorithms are outlined.
Text
AANET 2019 4 2 accepted version full
- Accepted Manuscript
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Accepted/In Press date: 2 April 2019
e-pub ahead of print date: 9 May 2019
Identifiers
Local EPrints ID: 429663
URI: http://eprints.soton.ac.uk/id/eprint/429663
ISSN: 0018-9219
PURE UUID: aaa24392-6419-46da-b555-d917d05147fc
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Date deposited: 03 Apr 2019 16:30
Last modified: 18 Mar 2024 03:14
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Author:
Jiankang Zhang
Author:
Taihai Chen
Author:
Shida Zhong
Author:
Jingjing Wang
Author:
Wenbo Zhang
Author:
Xin Zuo
Author:
Robert Maunder
Author:
Lajos Hanzo
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