Joint Optimization of Task Offloading and Resource Allocation for UAV-Assisted Edge Computing: A Stackelberg Bilayer Game Approach
Author:
Affiliation:
1. College of Electronic Information Engineering, Changchun University of Science and Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/9/E107.D_2023EDP7261/_pdf
Reference18 articles.
1. [1] X. Lyu, W. Ni, H. Tian, R.P. Liu, X. Wang, G.B. Giannakis, and A. Paulraj, “Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information,” IEEE J. Sel. Areas Commun., vol.35, no.11, pp.2606-2615, Nov. 2017. 10.1109/jsac.2017.2760186
2. [2] G. Xie, Z. Wang, and Y. Liu, “Joint Task Partition and Resource Allocation for Multiuser Cooperative Mobile Edge Computing,” Wirel. Commun. Mob. Comput., vol.2022, pp.1-13, 2022. 10.1155/2022/5143640
3. [3] Y. Mao, C. You, J. Zhang, K. Huang, and K.B. Letaief, “A Survey on Mobile Edge Computing: The Communication Perspective,” IEEE Commun. Surv. Tutor., vol.19, no.4, pp.2322-2358, 2017. 10.1109/comst.2017.2745201
4. [4] Z. Shah, U. Javed, M. Naeem, S. Zeadally, and W. Ejaz, “Mobile Edge Computing (MEC)-Enabled UAV Placement and Computation Efficiency Maximization in Disaster Scenario,” IEEE Trans. Veh. Technol., vol.72, no.10, pp.13406-13416, Oct. 2023. 10.1109/tvt.2023.3274107
5. [5] G. Mitsis, E.E. Tsiropoulou, and S. Papavassiliou, “Data Offloading in UAV-Assisted Multi-Access Edge Computing Systems: A Resource-Based Pricing and User Risk-Awareness Approach,” Sensors, vol.20, no.8, p.2434, Jan. 2020. 10.3390/s20082434
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