Resource Rllocation for UAV-assisted D2D Communications with Energy Harvesting

WANG Qianzhu; HU Hongrui; XU Yongjun; ZHANG Haibo; ZHOU Jihua; CHEN Li

doi:10.11999/JEIT210491

Volume 44 Issue 3

Mar. 2022

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 976-986

WANG Qianzhu, HU Hongrui, XU Yongjun, ZHANG Haibo, ZHOU Jihua, CHEN Li. Resource Rllocation for UAV-assisted D2D Communications with Energy Harvesting[J]. Journal of Electronics & Information Technology, 2022, 44(3): 976-986. doi: 10.11999/JEIT210491

Citation:

WANG Qianzhu, HU Hongrui, XU Yongjun, ZHANG Haibo, ZHOU Jihua, CHEN Li. Resource Rllocation for UAV-assisted D2D Communications with Energy Harvesting[J]. Journal of Electronics & Information Technology, 2022, 44(3): 976-986. doi: 10.11999/JEIT210491

Citation:

PDF( 3907 KB)

Resource Rllocation for UAV-assisted D2D Communications with Energy Harvesting

doi: 10.11999/JEIT210491

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts & Telecommunications, Xi’ an 710121, China
3.
Aerospace New Generation Communications Co., Ltd, Chongqing 401332, China

Funds: The National Natural Science Foundation of China (61601071), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Shaanxi Key Laboratory of Information Communication Network and Security (ICNS201904), The Chongqing Entrepreneurship and Innovation Program for the Returned Overseas Chinese Scholars (CX2020095)

Received Date: 2021-06-01
Accepted Date: 2022-02-16
Rev Recd Date: 2022-02-13

Available Online: 2022-02-23

Publish Date: 2022-03-28

Abstract

Abstract

In order to utilize better the surrounding radio-frequency energy and improve the operation lifetime of Device-to-Device (D2D) communications as well as the spectrum efficiency of Unmanned Aerial Vehicle (UAV) communication, a resource allocation algorithm is proposed for UAV-D2D networks with energy harvesting. Considering the constraints of the maximum transmit power and the mobility of the UAV, the minimum rate requirements of both cellular users and D2D users, a multivariable coupling resource allocation problem is formulated to maximize the sum rates of both cellular users and D2D users. The mixed-integer nonlinear programming problem is transformed into a convex optimization problem by using the successive convex approximation and variable substitution methods, where the closed-form solutions are obtained by the using Lagrange dual method. Simulation results demonstrate that the proposed algorithm has good convergence performance and higher system capacity.
- Unmanned Aerial Vehicle (UAV),
- Device to Device (D2D),
- Energy harvesting,
- Resource allocation

FullText(HTML)

References(27)

References

[1]	MOZAFFARI M, SAAD W, BENNIS M, et al. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems[J]. IEEE Communications Surveys & Tutorials, 2019, 21(3): 2334–2360. doi: 10.1109/COMST.2019.2902862
[2]	ZENG Yong, ZHANG Rui, and LIM T J. Wireless communications with unmanned aerial vehicles: Opportunities and challenges[J]. IEEE Communications Magazine, 2016, 54(5): 36–42. doi: 10.1109/MCOM.2016.7470933
[3]	ZHANG Haijun, ZHANG Jianmin, and LONG Keping. Energy efficiency optimization for NOMA UAV network with imperfect CSI[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(12): 2798–2809. doi: 10.1109/JSAC.2020.3005489
[4]	XU Yongjun, GUI Guan, GACANIN H, et al. A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges[J]. IEEE Communications Surveys & Tutorials, 2021, 23(2): 668–695. doi: 10.1109/COMST.2021.3059896
[5]	ZHAO Nan, LU Weidang, SHENG Min, et al. UAV-assisted emergency networks in disasters[J]. IEEE Wireless Communications, 2019, 26(1): 45–51. doi: 10.1109/MWC.2018.1800160
[6]	WANG Feiran, XU Chen, SONG Lingyang, et al. Energy-efficient resource allocation for device-to-device underlay communication[J]. IEEE Transactions on Wireless Communications, 2015, 14(4): 2082–2092. doi: 10.1109/TWC.2014.2379653
[7]	徐勇军, 刘子腱, 李国权, 等. 基于NOMA的无线携能D2D通信鲁棒能效优化算法[J]. 电子与信息学报, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175 XU Yongjun, LIU Zijian, LI Guoquan, et al. Robust energy efficiency optimization algorithm for NOMA-based D2D communication with simultaneous wireless information and power transfer[J]. Journal of Electronics &Information Technology, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175
[8]	XU Yongjun, XIE Hao, LIANG Chengchao, et al. Robust secure energy-efficiency optimization in SWIPT-aided heterogeneous networks with a nonlinear energy-harvesting model[J]. IEEE Internet of Things Journal, 2021, 8(19): 14908–14919. doi: 10.1109/JIOT.2021.3072965
[9]	ZHANG Haijun, FENG Mengting, LONG Keping, et al. Energy efficient resource management in SWIPT enabled heterogeneous networks with NOMA[J]. IEEE Transactions on Wireless Communications, 2020, 19(2): 835–845. doi: 10.1109/TWC.2019.2948874
[10]	HUANG Jun, XING Congcong, and GUIZANI M. Power allocation for D2D communications with SWIPT[J]. IEEE Transactions on Wireless Communications, 2020, 19(4): 2308–2320. doi: 10.1109/TWC.2019.2963833
[11]	YANG H H, LEE J, and QUEK T Q S. Heterogeneous cellular network with energy harvesting-based D2D communication[J]. IEEE Transactions on Wireless Communications, 2016, 15(2): 1406–1419. doi: 10.1109/TWC.2015.2489651
[12]	ZHONG Xijian, GUO Yan, LI Ning, et al. Joint optimization of relay deployment, channel allocation, and relay assignment for UAVs-aided D2D networks[J]. IEEE/ACM Transactions on Networking, 2020, 28(2): 804–817. doi: 10.1109/TNET.2020.2970744
[13]	WANG Haichao, WANG Jinlong, DING Guoru, et al. Resource allocation for energy harvesting-powered D2D communication underlaying UAV-assisted networks[J]. IEEE Transactions on Green Communications and Networking, 2018, 2(1): 14–24. doi: 10.1109/TGCN.2017.2767203
[14]	JI Jiequ, ZHU Kun, NIYATO D, et al. Joint trajectory design and resource allocation for secure transmission in cache-enabled UAV-relaying networks with D2D communications[J]. IEEE Internet of Things Journal, 2021, 8(3): 1557–1571. doi: 10.1109/JIOT.2020.3013647
[15]	JI Jiequ, ZHU Kun, NIYATO D, et al. Probabilistic cache placement in UAV-assisted networks with D2D connections: Performance analysis and trajectory optimization[J]. IEEE Transactions on Communications, 2020, 68(10): 6331–6345. doi: 10.1109/TCOMM.2020.3006908
[16]	HUANG Wenhuan, YANG Zhaohui, PAN Cunhua, et al. Joint power, altitude, location and bandwidth optimization for UAV with underlaid D2D communications[J]. IEEE Wireless Communications Letters, 2019, 8(2): 524–527. doi: 10.1109/LWC.2018.2878706
[17]	WANG Baoji, ZHANG Rongqing, CHEN Chen, et al. Graph-based file dispatching protocol with D2D-enhanced UAV-NOMA communications in large-scale networks[J]. IEEE Internet of Things Journal, 2020, 7(9): 8615–8630. doi: 10.1109/JIOT.2020.2994549
[18]	HUQ K M S, MUMTAZ S, ZHOU Zhenyu, et al. Energy-efficiency maximization for D2D-enabled UAV-aided 5G networks[C]. 2020 IEEE International Conference on Communications, Dublin, Ireland, 2020: 1–6.
[19]	LIU Xiaonan, LI Zan, ZHAO Nan, et al. Transceiver design and multihop D2D for UAV IoT coverage in disasters[J]. IEEE Internet of Things Journal, 2019, 6(2): 1803–1815. doi: 10.1109/JIOT.2018.2877504
[20]	NGUYEN H T, TUAN H D, DUONG T Q, et al. Joint D2D assignment, bandwidth and power allocation in cognitive UAV-enabled networks[J]. IEEE Transactions on Cognitive Communications and Networking, 2020, 6(3): 1084–1095. doi: 10.1109/TCCN.2020.2969623
[21]	XIE Lifeng, XU Jie, and ZHANG Rui. Throughput maximization for UAV-enabled wireless powered communication networks[J]. IEEE Internet of Things Journal, 2019, 6(2): 1690–1703. doi: 10.1109/JIOT.2018.2875446
[22]	NGUYEN M N, NGUYEN L D, DUONG T Q, et al. Real-time optimal resource allocation for embedded UAV communication systems[J]. IEEE Wireless Communications Letters, 2019, 8(1): 225–228. doi: 10.1109/LWC.2018.2867775
[23]	ZHANG Jing, ZHANG Yanxia, XIANG Lin, et al. Robust energy-efficient transmission for wireless-powered D2D communication networks[J]. IEEE Transactions on Vehicular Technology, 2021, 70(8): 7951–7965. doi: 10.1109/TVT.2021.3095626
[24]	BOSHKOVSKA E, NG D W K, ZLATANOV N, et al. Robust resource allocation for MIMO wireless powered communication networks based on a non-linear EH model[J]. IEEE Transactions on Communications, 2017, 65(5): 1984–1999. doi: 10.1109/TCOMM.2017.2664860
[25]	徐勇军, 谷博文, 陈前斌, 等. 基于能效最大的无线供电反向散射网络资源分配算法[J]. 通信学报, 2020, 41(10): 202–210. doi: 10.11959/j.issn.1000-436x.2020132 XU Yongjun, GU Bowen, CHEN Qianbin, et al. Energy efficiency maximization resource allocation algorithm in wireless-powered backscatter communication network[J]. Journal on Communications, 2020, 41(10): 202–210. doi: 10.11959/j.issn.1000-436x.2020132
[26]	BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge, UK: Cambridge University Press, 2004.
[27]	XU Yongjun, HU Yuan, LI Guoquan, et al. Robust resource allocation for heterogeneous wireless network: A worst-case optimisation[J]. IET Communications, 2018, 12(9): 1064–1071. doi: 10.1049/iet-com.2017.0626