Cui, J., Ng, S.X., Liu, D., Zhang, J., Nallanathan, A. and Hanzo, L., 2021. Multiobjective Optimization for Integrated Ground-Air-Space Networks: Current Research and Future Challenges. IEEE Vehicular Technology Magazine, 16 (3), 88-98.
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Abstract
With space and aerial platforms deployed at different altitudes, integrated ground-air-space (IGAS) networks will have multiple vertical layers, hence forming a three-dimensional (3D) structure. These 3D IGAS networks integrating both aerial and space platforms into terrestrial communications constitute a promising architecture for building fully connected global next generation networks (NGNs). This article presents a systematic treatment of 3D networks from the perspective of multi-objective optimization. Given the inherent features of these 3D links, the resultant 3D networks are more complex than conventional terrestrial networks. To design 3D networks accommodating the diverse performance requirements of NGNs, this article provides a multi-objective optimization framework for 3D networks in terms of their diverse performance metrics. We conclude by identifying a range of future research challenges in designing 3D networks and by highlighting a suite of potential solutions.
Item Type: | Article |
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ISSN: | 1556-6072 |
Additional Information: | Funding Agency: Engineering and Physical Sciences Research Council projects EP-N004558-1 EP-P034284-1 EP-P034284-1 EP-P003990-1 COALESCE of the Royal Society Global Challenges Research Fund Grant and the European Research Council Advanced Fellow Grant QuantCom; |
Uncontrolled Keywords: | Three-dimensional displays; Optimization; Next generation networking; Space vehicles; Satellites; Planetary orbits; Nonhomogeneous media |
Group: | Faculty of Science & Technology |
ID Code: | 35562 |
Deposited By: | Symplectic RT2 |
Deposited On: | 01 Jun 2021 10:28 |
Last Modified: | 14 Mar 2022 14:27 |
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