Joint User Association and Deployment Optimization for Energy-Efficient Heterogeneous UAV-Enabled MEC Networks

Zihao Han; Ting Zhou; Tianheng Xu; Honglin Hu

doi:10.3390/e25091304

journal article Open Access Sep 07, 2023

Joint User Association and Deployment Optimization for Energy-Efficient Heterogeneous UAV-Enabled MEC Networks

Zihao Han Ting Zhou

Tianheng Xu

Honglin Hu

Entropy Vol. 25 No. 9 pp. 1304 · MDPI AG

View at Publisher Save 10.3390/e25091304

Abstract

Unmanned aerial vehicles (UAVs) providing additional on-demand communication and computing services have become a promising technology. However, the limited energy supply of UAVs, which constrains their service duration, has emerged as an obstacle in UAV-enabled networks. In this context, a novel task offloading framework is proposed in UAV-enabled mobile edge computing (MEC) networks. Specifically, heterogeneous UAVs with different communication and computing capabilities are considered and the energy consumption of UAVs is minimized via jointly optimizing user association and UAV deployment. The optimal transport theory is introduced to analyze the user association sub-problem, and the UAV deployment for each sub-region is determined by a dragonfly algorithm (DA). Simulation results show that the energy consumption performance is significantly improved by the proposed algorithm.

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References

23

[1]

Xu "Intelligent Spectrum Sensing: When Reinforcement Learning Meets Automatic Repeat Sensing in 5G Communications" IEEE Wirel. Commun. (2020) 10.1109/mwc.001.1900246

[2]

Yang "Joint coded caching and BS sleeping strategy to reduce energy consumption in 6G edge networks" Internet Things (2023) 10.1016/j.iot.2023.100915

[3]

Lu "Secure NOMA-Based UAV-MEC Network towards a Flying Eavesdropper" IEEE Trans. Commun. (2022) 10.1109/tcomm.2022.3159703

[4]

Ding "Online Edge Learning Offloading and Resource Management for UAV-Assisted MEC Secure Communications" IEEE J. Sel. Top. Signal Process. (2023) 10.1109/jstsp.2022.3222910

[5]

Qiu "Multiple UAV-Mounted Base Station Placement and User Association with Joint Fronthaul and Backhaul Optimization" IEEE Trans. Commun. (2020) 10.1109/tcomm.2020.3001136

[6]

Zhu "Fairness-aware task loss rate minimization for multi-UAV enabled mobile edge computing" IEEE Wirel. Commun. Lett. (2023) 10.1109/lwc.2022.3218035

[7]

Mozaffari "Optimal Transport Theory for Cell Association in UAV-Enabled Cellular Networks" IEEE Commun. Lett. (2017) 10.1109/lcomm.2017.2710306

[8]

Wang "Task Offloading and Trajectory Scheduling for UAV-Enabled MEC Networks: An Optimal Transport Theory Perspective" IEEE Wirel. Commun. Lett. (2022) 10.1109/lwc.2021.3122957

[9]

Sun "Secure and Energy-Efficient UAV Relay Communications Exploiting Collaborative Beamforming" IEEE Trans. Commun. (2022) 10.1109/tcomm.2022.3184160

[10]

Bera "QoE Analysis in Cache-Enabled Multi-UAV Networks" IEEE Trans. Veh. Technol. (2020) 10.1109/tvt.2020.2985933

[11]

Luo "User-Centric UAV Deployment and Content Placement in Cache-Enabled Multi-UAV Networks" IEEE Trans. Veh. Technol. (2022) 10.1109/tvt.2022.3152246

[12]

Kandeepan "Optimal LAP Altitude for Maximum Coverage" IEEE Wirel. Commun. Lett. (2014) 10.1109/lwc.2014.2342736

[13]

Han, Z., Zhou, T., Xu, T., and Hu, H. (2023). Joint User Association and Deployment Optimization for Delay-minimized UAV-aided MEC Networks. IEEE Wirel. Commun. Lett., early access. 10.1109/lwc.2023.3294749

[14]

Mozaffari "Beyond 5G With UAVs: Foundations of a 3D Wireless Cellular Network" IEEE Trans. Wirel. Commun. (2019) 10.1109/twc.2018.2879940

[15]

Sun "Joint Computation Offloading and Trajectory Planning for UAV-Assisted Edge Computing" IEEE Trans. Wirel. Commun. (2021) 10.1109/twc.2021.3067163

[16]

Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery

Joshuah K. Stolaroff, Constantine Samaras, Emma R. O’Neill et al.

Nature Communications 2018 10.1038/s41467-017-02411-5

[17]

Villani, C. (2003). Topics in Optimal Transportation, AMS. 10.1090/gsm/058

[18]

Crippa "Optimum and equilibrium in a transport problem with queue penalization effect" Adv. Calc. Var. (2009) 10.1515/acv.2009.009

[19]

Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems

Seyedali Mirjalili

Neural Computing and Applications 2016 10.1007/s00521-015-1920-1

[20]

Traspadini "Real-Time HAP-Assisted Vehicular Edge Computing for Rural Areas" IEEE Wirel. Commun. Lett. (2023) 10.1109/lwc.2023.3238851

[21]

Galkin "A Stochastic Model for UAV Networks Positioned Above Demand Hotspots in Urban Environments" IEEE Trans. Veh. Technol. (2019) 10.1109/tvt.2019.2916429

[22]

Mok, J., Lee, Y., Ko, S., Choi, I., and Choi, H.S. (2017, January 19–22). Gaussian-mixture based potential field approach for UAV collision avoidance. Proceedings of the 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Kanazawa, Japan. 10.23919/sice.2017.8105744

[23]

Cui "A Hybrid Improved Dragonfly Algorithm for Feature Selection" IEEE Access (2020) 10.1109/access.2020.3012838

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Metrics

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Citations

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References

Details

Published: Sep 07, 2023
Vol/Issue: 25(9)
Pages: 1304
License: View

Authors

Z

Zihao Han

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; University of Chinese Academy of Sciences, Beijing 100049, China

T

Ting Zhou

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China; School of Microelectronics, Shanghai University, Shanghai 200444, China

T

Tianheng Xu

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

H

Honglin Hu

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China

Funding

Science and Technology Commission Foundation of Shanghai Award: 21511101400

Program of Shanghai Academic/Technology Research Leader Award: 21511101400

Cite This Article

Zihao Han, Ting Zhou, Tianheng Xu, et al. (2023). Joint User Association and Deployment Optimization for Energy-Efficient Heterogeneous UAV-Enabled MEC Networks. Entropy, 25(9), 1304. https://doi.org/10.3390/e25091304

Joint User Association and Deployment Optimization for Energy-Efficient Heterogeneous UAV-Enabled MEC Networks

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