Robust Resource Allocation Algorithm in MU-MISO Backscatter Communication Systems with Eavesdroppers

XU Yongjun; XU Ran; ZHOU Jihua; CHEN Liang; HUANG Dong

doi:10.11999/JEIT221508

Volume 46 Issue 1

Jan. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(1): 204-212

XU Yongjun, XU Ran, ZHOU Jihua, CHEN Liang, HUANG Dong. Robust Resource Allocation Algorithm in MU-MISO Backscatter Communication Systems with Eavesdroppers[J]. Journal of Electronics & Information Technology, 2024, 46(1): 204-212. doi: 10.11999/JEIT221508

Citation:

XU Yongjun, XU Ran, ZHOU Jihua, CHEN Liang, HUANG Dong. Robust Resource Allocation Algorithm in MU-MISO Backscatter Communication Systems with Eavesdroppers[J]. Journal of Electronics & Information Technology, 2024, 46(1): 204-212. doi: 10.11999/JEIT221508

Citation:

PDF( 1798 KB)

Robust Resource Allocation Algorithm in MU-MISO Backscatter Communication Systems with Eavesdroppers

doi: 10.11999/JEIT221508

XU Yongjun^{1, 2
,
,},
XU Ran¹,
ZHOU Jihua²,
CHEN Liang²,
HUANG Dong³

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Chongqing Jinmei Communication Co. LTD., Chongqing 400030, China
3.
Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, GuiZhou University, Guiyang 550025, China

Funds: The National Natural Science Foundation of China (62271094), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601), The Key Fund of Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009)

Received Date: 2022-12-05
Rev Recd Date: 2023-09-24

Available Online: 2023-10-18

Publish Date: 2024-01-17

Abstract

Abstract

Focusing on the problems of inaccurate channel estimation and easy eavesdropping of information in backscatter communication systems, a robust resource allocation algorithm for Multi-User Multi-Input Single-Output (MU-MISO) backscatter communication systems based on user eavesdropping is proposed to improve the transmission robustness and information security of the systems. Firstly, considering the constraints on the maximum power of the base station, time allocation, channel uncertainties, energy collection, and security rate, a robust resource allocation problem for MU-MISO backscatter communication systems is established. Secondly, based on the nonlinear energy harvesting model and the bounded spherical uncertainty model, the original NP-hard problem is transformed into a deterministic one by using the variable relaxation and S-Procedure methods, and then it is transformed into a convex optimization problem by using successive convex approximation, semi-positive definite relaxation and block coordinate descent methods. Simulation results show that the proposed algorithm has higher system capacity and lower outage probability compared with the traditional non-robust algorithm.
- Backscatter communication,
- Physical layer security,
- Nonlinear energy harvesting model,
- Robust resource allocation

FullText(HTML)

References(25)

References

[1]	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
[2]	VAN HUYNH N, HOANG D T, LU Xiao, et al. Ambient backscatter communications: A contemporary survey[J]. IEEE Communications Surveys & Tutorials, 2018, 20(4): 2889–2922. doi: 10.1109/COMST.2018.2841964
[3]	LONG Ruizhe, LIANG Yingchang, GUO Huayan, et al. Symbiotic radio: A new communication paradigm for passive internet of things[J]. IEEE Internet of Things Journal, 2020, 7(2): 1350–1363. doi: 10.1109/JIOT.2019.2954678
[4]	WANG Pu, YAN Zheng, WANG Ning, et al. Resource allocation optimization for secure multidevice wirelessly powered backscatter communication with artificial noise[J]. IEEE Transactions on Wireless Communications, 2022, 21(9): 7794–7809. doi: 10.1109/TWC.2022.3162137
[5]	YANG Haohang, YE Yinghui, and CHU Xiaoli. Max-min energy-efficient resource allocation for wireless powered backscatter networks[J]. IEEE Wireless Communications Letters, 2020, 9(5): 688–692. doi: 10.1109/LWC.2020.2965942
[6]	XIAO Sa, GUO Huayan, and LIANG Yinghchang. Resource allocation for full-duplex-enabled cognitive backscatter networks[J]. IEEE Transactions on Wireless Communications, 2019, 18(6): 3222–3235. doi: 10.1109/TWC.2019.2912203
[7]	KE Feng, PENG Yiming, PENG Yingru, et al. Resource allocation for MIMO full-duplex backscatter assisted wireless-powered communication network with finite alphabet inputs[J]. IEEE Transactions on Communications, 2021, 69(2): 1275–1289. doi: 10.1109/TCOMM.2020.3035233
[8]	YE Yinghui, SHI Liqin, HU R Q, et al. Energy-efficient resource allocation for wirelessly powered backscatter communications[J]. IEEE Communications Letters, 2019, 23(8): 1418–1422. doi: 10.1109/LCOMM.2019.2920834
[9]	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
[10]	ZHUANG Yuandong, LI Xi, JI Hong, et al. Optimal resource allocation for RF-powered underlay cognitive radio networks with ambient backscatter communication[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 15216–15228. doi: 10.1109/TVT.2020.3037152
[11]	XU Yongjun and GUI Guan. Optimal resource allocation for wireless powered multi-carrier backscatter communication networks[J]. IEEE Wireless Communications Letters, 2020, 9(8): 1191–1195. doi: 10.1109/LWC.2020.2985010
[12]	YANG Gang, YUAN Dongdong, LIANG Yingchang, et al. Optimal resource allocation in full-duplex ambient backscatter communication networks for wireless-powered IoT[J]. IEEE Internet of Things Journal, 2019, 6(2): 2612–2625. doi: 10.1109/JIOT.2018.2872515
[13]	LI Dong. Backscatter communication via harvest-then-transmit relaying[J]. IEEE Transactions on Vehicular Technology, 2020, 69(6): 6843–6847. doi: 10.1109/TVT.2020.2991227
[14]	WANG Pu, YAN Zheng, and ZENG Kai. BCAuth: Physical layer enhanced authentication and attack tracing for backscatter communications[J]. IEEE Transactions on Information Forensics and Security, 2022, 17: 2818–2834. doi: 10.1109/TIFS.2022.3195407
[15]	LI Xinrui, WANG Wei, ZHANG Miao, et al. Robust secure beamforming for SWIPT-aided relay systems with full-duplex receiver and imperfect CSI[J]. IEEE Transactions on Vehicular Technology, 2020, 69(2): 1867–1878. doi: 10.1109/TVT.2019.2961449
[16]	LI Dong. Backscatter communication powered by selective relaying[J]. IEEE Transactions on Vehicular Technology, 2020, 69(11): 14037–14042. doi: 10.1109/TVT.2020.3029340
[17]	ZHOU Shaoqing, XU Wei, WANG Kezhi, et al. Ergodic rate analysis of cooperative ambient backscatter communication[J]. IEEE Wireless Communications Letters, 2019, 8(6): 1679–1682. doi: 10.1109/LWC.2019.2936196
[18]	XU Yongjun, ZHAO Xiaohui, and LIANG Yingchang. Robust power control and beamforming in cognitive radio networks: A survey[J]. IEEE Communications Surveys & Tutorials, 2015, 17(4): 1834–1857. doi: 10.1109/COMST.2015.2425040
[19]	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
[20]	WANG Shaohang and WANG Baoyun. Robust secure transmit design in MIMO channels with simultaneous wireless information and power transfer[J]. IEEE Signal Processing Letters, 2015, 22(11): 2147–2151. doi: 10.1109/LSP.2015.2464791
[21]	WANG Feng, XU Jie, and DING Zhiguo. Multi-antenna NOMA for computation offloading in multiuser mobile edge computing systems[J]. IEEE Transactions on Communications, 2019, 67(3): 2450–2463. doi: 10.1109/TCOMM.2018.2881725
[22]	BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
[23]	LUO Zhiquan, MA W K, SO A M C, et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010, 27(3): 20–34. doi: 10.1109/MSP.2010.936019
[24]	BIBBY J. Axiomatisations of the average and a further generalisation of monotonic sequences[J]. Glasgow Mathematical Journal, 1974, 15(1): 63–65. doi: 10.1017/S0017089500002135
[25]	LU Yang, XIONG Ke, FAN Pingyi, et al. Coordinated beamforming with artificial noise for secure SWIPT under non-linear EH model: Centralized and distributed designs[J]. IEEE Journal on Selected Areas in Communications, 2018, 36(7): 1544–1563. doi: 10.1109/JSAC.2018.2824759