The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems
Open accessAbstract
Mobile-edge computing (MEC) and wireless power transfer are two promising techniques to enhance the computation capability and to prolong the operational time of low-power wireless devices that are ubiquitous in Internet of Things. However, the computation performance and the harvested energy are significantly impacted by the severe propagation loss. In order to address this issue, an unmanned aerial vehicle (UAV)-enabled MEC wireless-powered system is studied in this paper. The computation rate maximization problems in a UAV-enabled MEC wireless powered system are investigated under both partial and binary computation offloading modes, subject to the energy-harvesting causal constraint and the UAV's speed constraint. These problems are non-convex and challenging to solve. A two-stage algorithm and a three-stage alternative algorithm are, respectively, proposed for solving the formulated problems. The closed-form expressions for the optimal central processing unit frequencies, user offloading time, and user transmit power are derived. The optimal selection scheme on whether users choose to locally compute or offload computation tasks is proposed for the binary computation offloading mode. Simulation results show that our proposed resource allocation schemes outperform other benchmark schemes. The results also demonstrate that the proposed schemes converge fast and have low computational complexity.
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Energy-Efficient UAV Communication With Trajectory Optimization
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Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Zeng, T., Semiari, O., Mozaffari, M., Chen, M., Saad, W., & Bennis, M. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC) · doi:10.1109/icc40277.2020.9148776 · Cited by 218
Chen, M., Saad, W., & Yin, C. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2891629 · Cited by 176
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles
Zeng, T., Semiari, O., Chen, M., Saad, W., & Bennis, M. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3183996 · Cited by 131
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Metadata
- Authors
- Zhou, F., Wu, Y., Hu, R. Q., & Qian, Y.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2018-09
- Volume
- 36
- Issue
- 9
- Pages
- 1927-1941
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W2964052915
- Cited by
- 851
- References
- 34
- FWCI
- 75.06
- Type
- journal article
- Language
- en
- Open access
- green
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