Joint Dynamic Resource Allocation and Trajectory Optimization for UAV-Assisted Mobile Edge Computing in Internet of Vehicles
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46846-9_28
Reference13 articles.
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3. Hu, H., Song, W., Wang, Q., Hu, R.Q., Zhu, H.: Energy efficiency and delay tradeoff in an MEC-enabled mobile IoT network. IEEE Internet Things J. 9(17), 15942–15956 (2022)
4. Jeong, S., Simeone, O., Kang, J.: Mobile edge computing via a UAV-mounted cloudlet: optimization of bit allocation and path planning. IEEE Trans. Veh. Technol. 67(3), 2049–2063 (2017)
5. Kawamoto, Y., Nishiyama, H., Kato, N., Ono, F., Miura, R.: Toward future unmanned aerial vehicle networks: architecture, resource allocation and field experiments. IEEE Wirel. Commun. 26(1), 94–99 (2018)
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