Abstract
Physical layer security (PLS) has attracted increasing attention as an alternative to cryptography-based techniques for maritime wireless communications (Liu et al., IEEE J. Sel. Areas Commun. 39(10), 2992–3005 (2021)). For instance, secure communication services in (Liu et al., IEEE J. Sel. Areas Commun. 39(10), 2992–3005 (2021); Shi et al., China Commun. 17(3), 26–35 (2020)) exploit the wireless channel features to address eavesdropping without relying on shared secret keys. So far, a variety of approaches have been reported to improve security in wireless communication systems, which can be used in maritime wireless communications, e.g., cooperative relaying strategies (Duan et al., IEEE Trans. Green Commun. Netw. 4(1), 139–151 (2020); Yang et al., IEEE Trans. Veh. Technol. 64(9), 4215–4229 (2015)), artificial noise-assisted beamforming (Wang et al., IEEE Trans. Inf. Forensics Secur. 12(6), 1470–1482 (2017); Wang et al., IEEE Trans. Wireless Commun. 14(1), 94–106 (2015)), and cooperative jamming (Nakai and Sugiura, IEEE Trans. Inf. Forensics Secur. 14(2), 431–444 (2019); Liu et al., in Proceedings of the 13th International Conference on Wireless Communications and and Signal Processing (WCSP), Changsha, China, Dec. 2021). However, employing a large number of antennas and relays in PLS systems incurs excessive hardware costs and high system complexity. Moreover, cooperative jamming and transmitting artificial noise require extra transmit power to guarantee transmission and thus raise challenges to implement in maritime wireless communication systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Y. Liu, C. X. Wang, H. Chang, Y. He, J. Bian, A novel non-stationary 6G UAV channel model for maritime communications. IEEE J. Sel. Areas Commun. 39(10), 2992–3005 (2021)
Y. Shi, L. Zheng, W. Lin, X. Ma, Spatial-modulated physical-layer network coding based on block Markov superposition transmission for maritime relay communications. China Commun. 17(3), 26–35 (2020)
R. Duan, J. Wang, H. Zhang, Y. Ren, L. Hanzo, Joint multicast beamforming and relay design for maritime communication systems. IEEE Trans. Green Commun. Netw. 4(1), 139–151 (2020)
T. Yang, H. Liang, N. Cheng, R. Deng and X. Shen, Efficient scheduling for video transmissions in maritime wireless communication networks. IEEE Trans. Veh. Technol. 64(9), 4215–4229 (2015)
W. Wang, K. C. Teh and K. H. Li, Artificial noise aided physical layer security in multi-antenna small-cell networks. IEEE Trans. Inf. Forensics Secur. 12(6), 1470–1482 (2017)
H. Wang, T. Zheng, X. Xia, Secure MISO wiretap channels with multiantenna passive eavesdropper ship: Artificial noise vs. artificial fast fading. IEEE Trans. Wireless Commun. 14(1), 94–106 (2015)
R. Nakai, S. Sugiura, Physical layer security in buffer-state-based max-ratio relay selection exploiting broadcasting with cooperative beamforming and jamming. IEEE Trans. Inf. Forensics Secur. 14(2), 431–444 (2019)
K. Liu, P. Li, C. Liu, L. Xiao and L. Jia, UAV-aided anti-jamming maritime communications: A deep reinforcement learning approach, in Proceedings of the 13th International Conference on Wireless Communications and and Signal Processing (WCSP), Changsha, China, Dec. 2021
Q. Wu, R. Zhang, Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 58(1), 106–112 (2020)
J. Zhao, A survey of intelligent reflecting surfaces (IRSs): Towards 6G wireless communication networks, 2019. [Online]. Available: https://arxiv.org/abs/1907.04789
H. Han. et al., Intelligent reflecting surface aided network: Power control for physical-layer broadcasting, in Proceedings of the IEEE International Conference on Communications (ICC), Dublin, Ireland, Jul. 2020
C. Huang, A. Zappone, G.C. Alexandropoulos, M. Debbah, C. Yuen, Reconfigurable intelligent surfaces for energy efficiency in wireless communication. IEEE Trans. Wireless Commun. 18(8), 4157–4170 (2019)
Q. Wu, R. Zhang, Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming. IEEE Trans. Wireless Commun. 18(11), 5394–5409 (2019)
M. Cui, G. Zhang, R. Zhang, Secure wireless communication via intelligent reflecting surface. IEEE Wireless Commun. Lett. 8(5), 1410–1414 (2019)
H. Shen, W. Xu, S. Gong, Z. He, C. Zhao, Secrecy rate maximization for intelligent reflecting surface assisted multi-antenna communications. IEEE Commun. Lett. 23(9), 1488–1492 (2019)
X. Yu, D. Xu, R. Schober, Enabling secure wireless communications via intelligent reflecting surfaces, in Proceedings of the IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, Dec. 2019
Q. Wu, R. Zhang, Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts. IEEE Trans. Commun. 68(3), 1838–1851 (2020)
Z. Chu, W. Hao, P. Xiao, J. Shi, Intelligent reflecting surface aided multi-antenna secure transmission. IEEE Wireless Commun. Lett. 9(1), 108–112 (2020)
B. Feng, Y. Wu, M. Zheng, Secure transmission strategy for intelligent reflecting surface enhanced wireless system, in Proceedings of the 11th International Conference on Wireless Communications and Signal Processing (WCSP), Xi’an, China, Dec. 2019
J. Chen, Y. Liang, Y. Pei, H. Guo, Intelligent reflecting surface: A programmable wireless environment for physical layer security. IEEE Access 7, 82599–82612 (2019)
X. Yu, D. Xu, Y. Sun, D.W.K. Ng, R. Schober, Robust and secure wireless communications via intelligent reflecting surfaces. IEEE J. Sel. Areas Commun. 38(11), 2637–2652 (2020)
X. Guan, Q. Wu, R. Zhang, Intelligent reflecting surface assisted secrecy communication: Is artificial noise helpful or not? IEEE Wireless Commun. Lett. 9(6), 778–782 (2020)
L. Dong, H. Wang, Secure MIMO transmission via intelligent reflecting surface. IEEE Wireless Commun. Lett. 9(6), 787–790 (2020)
W. Jiang, Y. Zhang, J. Wu, W. Feng, Y. Jin, Intelligent reflecting surface assisted secure wireless communications with multiple-transmit and multiple-receive antennas. IEEE Access 8, 86659–86673 (2020)
D. Xu, X. Yu, Y. Sun, D.W.K. Ng, R. Schober, Resource allocation for secure IRS-assisted multiuser MISO systems, in Proceedings of the IEEE Globecom Workshops (GC Wkshps), Waikoloa, HI, Dec. 2019
C. Huang, G.C. Alexandropoulos, C. Yuen, et al., Indoor signal focusing with deep learning designed reconfigurable intelligent surfaces, in Proceedings of the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2019
A. Taha, M. Alrabeiah, A. Alkhateeb, Enabling large intelligent surfaces with compressive sensing and deep learning. IEEE Access 9, 44,304–44,321 (2021)
K. Feng, Q. Wang, X. Li, C. Wen, Deep reinforcement learning based intelligent reflecting surface optimization for MISO communication systems. IEEE Wireless Commun. Lett. 9(5), 745–749 (2020)
C. Huang, R. Mo, C. Yuen, Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning. IEEE J. Sel. Areas Commun. 38(8), 1839–1850 (2020)
C. Li, W. Zhou, K. Yu, L. Fan, J. Xia, Enhanced secure transmission against intelligent attacks. IEEE Access 7, 53596–53602 (2019)
L. Xiao, G. Sheng, S. Liu, H. Dai, M. Peng, J. Song, Deep reinforcement learning-enabled secure visible light communication against eavesdropping. IEEE Trans. Commun. 67(10), 6994–7005 (2019)
M. Wiering, M. Otterlo, Reinforcement Learning: Stateof-the-Art (Springer Berlin, Heidelberg, 2014)
H.L. Yang, A. Alphones, C. Chen, W.D. Zhong, X.Z. Xie, Learning-based energy-efficient resource management by heterogeneous RF/VLC for ultra-reliable low-latency industrial IoT networks. IEEE Trans. Ind. Inf. 16(8), 5565–5576 (2020)
X. He, R. Jin, H. Dai, Deep PDS-learning for privacy-aware offloading in MEC-enabled IoT. IEEE Internet Things J. 6(3), 4547–4555 (2019)
N. Mastronarde, M. van der Schaar, Joint physical-layer and systemlevel power management for delay-sensitive wireless communications. IEEE Trans. Mobile Comput. 12(4), 694–709 (2013)
T. Schaul, J. Quan, I. Antonoglou, D. Silver, Prioritized experience replay, in Proceedings of the 4th International Conference on Learning Representations (ICLR), San Juan, Colorado, May. 2016
H. Gacanin, M. Di Renzo, Wireless 2.0: Towards an intelligent radio environment empowered by reconfigurable meta-surfaces and artificial intelligence. IEEE Veh. Technol. Mag. 15(4), 74–82 (2020)
C.W. Huang, et al., Holographic MIMO surfaces for 6G wireless networks: Opportunities, challenges, and trends. IEEE Wireless Commun. 27(5), 118–125 (2020)
F.B. Mismar, B.L. Evans, A. Alkhateeb, Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination. IEEE Trans. Commun. 68(3), 1581–1592 (2020)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Xiao, L., Yang, H., Zhuang, W., Min, M. (2023). Learning-Based Intelligent Reflecting Surface-Aided Secure Maritime Communications. In: Reinforcement Learning for Maritime Communications. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-031-32138-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-32138-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-32137-5
Online ISBN: 978-3-031-32138-2
eBook Packages: Computer ScienceComputer Science (R0)