The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
Open accessAbstract
In this paper, we consider the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation and location planning in a mobile edge computing (MEC) network with multiple unmanned aerial vehicles (UAVs). To solve the nonconvex problem, we propose a low-complexity algorithm with solving three subproblems iteratively. For the user association subproblem, the compressive sensing based algorithm is accordingly is proposed. For the computation capacity allocation subproblem, the optimal solution is obtained in closed form. For the location planning subproblem, the optimal solution is effectively obtained via one-dimensional search method. To obtain a feasible solution for this iterative algorithm, a fuzzy c-means clustering based algorithm is proposed. Numerical results show that the proposed algorithm achieves better performance than conventional approaches.
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Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Antenna theory, analysis, and design
Croswell, W. (1982) · IEEE Antennas and Propagation Society Newsletter · doi:10.1109/map.1982.27654 · Cited by 8,565
FCM: The fuzzy c-means clustering algorithm
Bezdek, J. C., Ehrlich, R., & Full, W. (1984) · Computers & Geosciences · doi:10.1016/0098-3004(84)90020-7 · Cited by 6,608
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Optimal LAP Altitude for Maximum Coverage
Al-Hourani, A., Kandeepan, S., & Lardner, S. (2014) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2014.2342736 · Cited by 3,161
Energy-Efficient UAV Communication With Trajectory Optimization
Zeng, Y., & Zhang, R. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2688328 · Cited by 2,164
Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
Wu, Q., Zeng, Y., & Zhang, R. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2789293 · Cited by 1,978
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
You, C., Huang, K., Chae, H., & Kim, B.-H. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2633522 · Cited by 1,503
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2531652 · Cited by 1,126
Cited by
Resource Scheduling in Edge Computing: A Survey
Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
“in [50] considered a UAV-enabled mobile edge computing (MEC) network, where the computation tasks from MUs can be processed by”
BackgroundTerahertz Band: The Last Piece of RF Spectrum Puzzle for Communication Systems
Elayan, H., Amin, O., Shihada, B., Shubair, R. M., & Alouini, M.-S. (2020) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2019.2953633 · Cited by 535
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future
Karabulut Kurt, G., Khoshkholgh, M. G., Alfattani, S., Ibrahim, A., Darwish, T. S. J., Alam, M. S., Yanikomeroglu, H., & Yongacoglu, A. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3066905 · Cited by 538
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System
Zhan, C., Hu, H., Sui, X., Liu, Z., & Niyato, D. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993260 · Cited by 283
Spinelli, F., & Mancuso, V. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3037674 · Cited by 253
Metadata
- Authors
- Yang, Z., Pan, C., Wang, K., & Shikh-Bahaei, M.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-09
- Volume
- 18
- Issue
- 9
- Pages
- 4576-4589
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2961269959
- Cited by
- 451
- References
- 53
- FWCI
- 42.28
- Type
- journal article
- Language
- en
- Open access
- green
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- Yang, Z., Pan, C., Wang, K., & Shikh-Bahaei, M. (2019). Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2019.2927313
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