The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities
Open accessAbstract
The ever increasing mobile data demands have posed significant challenges in the current radio access networks, while the emerging computation- heavy Internet of Things applications with varied requirements demand more flexibility and resilience from the cloud/edge computing architecture. In this article, to address the issues, we propose a novel air-ground integrated mobile edge network (AGMEN), where UAVs are flexibly deployed and scheduled, and assist the communication, caching, and computing of the edge network. Specifically, we present the detailed architecture of AGMEN, and investigate the benefits and application scenarios of drone cells, and UAV-assisted edge caching and computing. Furthermore, the challenging issues in AGMEN are discussed, and potential research directions are highlighted.
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Cites
Chen, M., Mozaffari, M., Saad, W., Yin, C., Debbah, M., & Hong, C. S. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2680898 · Cited by 742
Cited by
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Li, B., Fei, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2887086 · Cited by 1,377
Blockchain for internet of things: a survey
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920987 · Cited by 1,246
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
Azari, M. M., Solanki, S., Chatzinotas, S., Kodheli, O., Sallouha, H., Colpaert, A., Mendoza Montoya, J. F., Pollin, S., Haqiqatnejad, A., Mostaani, A., et al. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3199901 · Cited by 668
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
Li, M., Cheng, N., Gao, J., Wang, Y., Zhao, L., & Shen, X. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2968343 · Cited by 508
Self-citationWu, Y., Ni, K., Zhang, C., Qian, L. P., & Tsang, D. H. K. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2875337 · Cited by 292
Metadata
- Authors
- Cheng, N., Xu, W., Shi, W., Zhou, Y., Lu, N., Zhou, H., & Shen, X.
- Venue
- IEEE Communications Magazine
- Published
- 2018-08
- Volume
- 56
- Issue
- 8
- Pages
- 26-32
- ISSN
- 0163-6804 (ISSN-L)
- 1558-1896
- OpenAlex
- W2963857659
- Cited by
- 323
- References
- 1
- FWCI
- 32.98
- Type
- journal article
- Language
- en
- Open access
- green
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- Cheng, N., Xu, W., Shi, W., Zhou, Y., Lu, N., Zhou, H., & Shen, X. (2018). Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2018.1701092
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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