Computing Task Offloading and Resource Allocation in UAV-Enabled Backscatter Communications

LI Bin; YANG Rongrong

doi:10.11999/JEIT221062

Volume 45 Issue 7

Jul. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(7): 2334-2341

LI Bin, YANG Rongrong. Computing Task Offloading and Resource Allocation in UAV-Enabled Backscatter Communications[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2334-2341. doi: 10.11999/JEIT221062

Citation:

LI Bin, YANG Rongrong. Computing Task Offloading and Resource Allocation in UAV-Enabled Backscatter Communications[J]. Journal of Electronics & Information Technology, 2023, 45(7): 2334-2341. doi: 10.11999/JEIT221062

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Computing Task Offloading and Resource Allocation in UAV-Enabled Backscatter Communications

doi: 10.11999/JEIT221062

LI Bin^,,
YANG Rongrong

1.
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China

Funds: The National Natural Science Foundation of China (62101277), The National Natural Science Foundation of Jiangsu Province (BK20200822)

Received Date: 2022-08-12
Rev Recd Date: 2022-11-26

Available Online: 2022-11-30

Publish Date: 2023-07-10

Abstract

Abstract

In order to alleviate problem of users’ energy shortage in edge computing networks, a computing task offloading and resource allocation scheme in Unmanned Aerial Vehicle (UAV)-assisted backscatter communication network is proposed. Firstly, a problem for minimizing the total energy consumption of UAV is formulated by the joint design of UAV trajectory, calculation frequency of users, task offloading ratio, the transmission power of the UAV and users, backscattering time allocation and active communication time allocation. Then, through alternate iteration method, the original non-convex problem is divided into two subproblems which are solved by the successive convex approximation method. Numerical results demonstrate that the proposed algorithm reduces effectively the UAV energy consumption and has good convergence performance.
- Backscatter communication,
- Unmanned Aerial Vehicle (UAV),
- Mobile Edge Computing (MEC),
- Wireless powered communication network,
- Computation offloading

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References(17)

References

[1]	LIU Yaqiong, PENG Mugen, SHOU Guochu, et al. Toward edge intelligence: Multiaccess edge computing for 5G and internet of things[J]. IEEE Internet of Things Journal, 2020, 7(8): 6722–6747. doi: 10.1109/JIOT.2020.3004500
[2]	徐勇军, 杨浩克, 叶迎晖, 等. 反向散射通信网络资源分配综述[J]. 物联网学报, 2021, 5(3): 56–69. doi: 10.11959/j.issn.2096-3750.2021.00215 XU Yongjun, YANG Haoke, YE Yinghui, et al. A survey on resource allocation in backscatter communication networks[J]. Chinese Journal on Internet of Things, 2021, 5(3): 56–69. doi: 10.11959/j.issn.2096-3750.2021.00215
[3]	MALIK R and VU M. Energy-efficient joint wireless charging and computation offloading in MEC systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(5): 1110–1126. doi: 10.1109/JSTSP.2021.3098963
[4]	XU Yongjun, GU Bowen, HU R Q, et al. Joint computation offloading and radio resource allocation in MEC-based wireless-powered backscatter communication networks[J]. IEEE Transactions on Vehicular Technology, 2021, 70(6): 6200–6205. doi: 10.1109/TVT.2021.3077094
[5]	LI Baogang, SI Fuqiang, ZHAO Wei, et al. Wireless powered mobile edge computing with NOMA and user cooperation[J]. IEEE Transactions on Vehicular Technology, 2021, 70(2): 1957–1961. doi: 10.1109/TVT.2021.3051651
[6]	YE Yinghui, SHI Liqin, CHU Xiaoli, et al. Resource allocation in backscatter-assisted wireless powered MEC networks with limited MEC computation capacity[J]. IEEE Transactions on Wireless Communications, 2022, 21(12): 10678-10694.
[7]	叶迎晖, 施丽琴, 卢光跃. 反向散射辅助的无线供能通信网络中用户能效公平性研究[J]. 通信学报, 2020, 41(7): 84–94. doi: 10.11959/j.issn.1000-436x.2020133 YE Yinghui, SHI Liqin, and LU Guangyue. User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network[J]. Journal on Communications, 2020, 41(7): 84–94. doi: 10.11959/j.issn.1000-436x.2020133
[8]	SHI Liqin, YE Yinghui, ZHENG Gan, et al. Computational EE fairness in backscatter-assisted wireless powered MEC networks[J]. IEEE Wireless Communications Letters, 2021, 10(5): 1088–1092. doi: 10.1109/LWC.2021.3058295
[9]	XU Sai, DU Yanan, LIU Jiajia, et al. Intelligent reflecting surface based backscatter communication for data offloading[J]. IEEE Transactions on Communications, 2022, 70(6): 4211–4221. doi: 10.1109/TCOMM.2022.3170629
[10]	陈新颖, 盛敏, 李博, 等. 面向6G的无人机通信综述[J]. 电子与信息学报, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789 CHEN Xinying, SHENG Min, LI Bo, et al. Survey on unmanned aerial vehicle communications for 6G[J]. Journal of Electronics &Information Technology, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789
[11]	GUO Hongzhi and LIU Jiajia. UAV-enhanced intelligent offloading for Internet of things at the edge[J]. IEEE Transactions on Industrial Informatics, 2020, 16(4): 2737–2746. doi: 10.1109/TII.2019.2954944
[12]	YUAN Xiaopeng, YANG Tianyu, HU Yulin, et al. Trajectory design for UAV-enabled multiuser wireless power transfer with nonlinear energy harvesting[J]. IEEE Transactions on Wireless Communications, 2021, 20(2): 1105–1121. doi: 10.1109/TWC.2020.3030773
[13]	卢为党, 詹悦者, 花俏枝, 等. 基于无人机无线能量传输的边缘计算系统能耗优化方法研究[J]. 电子与信息学报, 2022, 44(3): 899–905. doi: 10.11999/JEIT211314 LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, et al. Energy consumption optimization in UAV wireless power transfer based mobile edge computing system[J]. Journal of Electronics &Information Technology, 2022, 44(3): 899–905. doi: 10.11999/JEIT211314
[14]	YANG Haohang, YE Yinghui, CHU Xiaoli, et al. Energy efficiency maximization for UAV-enabled hybrid backscatter-harvest-then-transmit communications[J]. IEEE Transactions on Wireless Communications, 2022, 21(5): 2876–2891. doi: 10.1109/TWC.2021.3116509
[15]	TRAN D H, CHATZINOTAS S, and OTTERSTEN B. Throughput maximization for backscatter-and cache-assisted wireless powered UAV technology[J]. IEEE Transactions on Vehicular Technology, 2022, 71(5): 5187–5202. doi: 10.1109/TVT.2022.3155190
[16]	LUO Weiran, SHEN Yanyan, YANG Bo, et al. Joint 3-D trajectory and resource optimization in multi-UAV-enabled IoT networks with wireless power transfer[J]. IEEE Internet of Things Journal, 2021, 8(10): 7833–7848. doi: 10.1109/JIOT.2020.3041303
[17]	DU Yao, YANG Kun, WANG Kezhi, et al. Joint resources and workflow scheduling in UAV-enabled wirelessly-powered MEC for IoT systems[J]. IEEE Transactions on Vehicular Technology, 2019, 68(10): 10187–10200. doi: 10.1109/TVT.2019.2935877