The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds
Open accessAbstract
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.
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Cites
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006) · Computer Networks · doi:10.1016/j.comnet.2006.05.001 · Cited by 6,356
Optical Communication in Space: Challenges and Mitigation Techniques
Kaushal, H., & Kaddoum, G. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2603518 · Cited by 1,927
Cache in the air: exploiting content caching and delivery techniques for 5G systems
Wang, X., Chen, M., Taleb, T., Ksentini, A., & Leung, V. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6736753 · Cited by 1,063 · cited 1×
“As a further development of the buffer-aided idea, “Cache in the air” [233] can cache popular video/audio contents in intermediate servers, such as local servers, gateways, or routers.”
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Cited by
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Self-citationA Comprehensive Survey on UAV Communication Channel Modeling
Yan, C., Fu, L., Zhang, J., & Wang, J. (2019) · IEEE Access · doi:10.1109/access.2019.2933173 · Cited by 395
Self-citationFederated Learning Assisted Multi-UAV Networks
Zhang, H., & Hanzo, L. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3028011 · Cited by 156
Self-citationXu, C., Xiang, L., An, J., Dong, C., Sugiura, S., Maunder, R. G., Yang, L.-L., & Hanzo, L. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3203895 · Cited by 90
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Metadata
- Authors
- Zhang, J., Chen, T., Zhong, S., Wang, J., Zhang, W., Zuo, X., Maunder, R. G., & Hanzo, L.
- Venue
- Proceedings of the IEEE
- Published
- 2019-05
- Volume
- 107
- Issue
- 5
- Pages
- 868-911
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2936200124
- Cited by
- 168
- References
- 3
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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