[en] This survey explores the transformative role of
reconfigurable intelligent surface (RIS) technologies in vehicular communication systems. It begins by introducing key RIS
concepts and classifying them into passive, active, and hybrid
types, with particular focus on beyond diagonal RIS (BD-RIS)
and its various architectural designs. The study then delves into
the evolution of vehicular communication technologies, followed
by channel modeling and strategies to ensure long-term system
adaptability. The survey further investigates key technological
advancements, such as advanced channel modeling and estimation techniques, strategies for optimizing network sum-rate and
energy efficiency (EE), and enhancing security within vehicular
networks through RIS. Additionally, it examines the integration
of RIS with vehicular edge computing (VEC) frameworks,
its potential in unmanned aerial vehicle (UAV) supported
networks, and its application in visible light communication
(VLC) systems. The analysis also considers the synergy between RIS and mmWave technologies. Then, a comprehensive
performance assessment is conducted to evaluate the impact of
these advancements in RIS-based vehicular networks. The aim
is to thoroughly elaborate, compare, and evaluate the literature
concerning network scenarios, RIS details, methodologies, and
optimization objectives. Conclusively, the research highlights
key findings and charts future research directions, pinpointing
imminent technical challenges and emerging areas for further
exploration in the rapidly evolving landscape of vehicular
communications.
Disciplines :
Computer science
Author, co-author :
Deng, Min; School of Computer and Information Science, Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
Ahmed, Manzoor; School of Computer and Information Science, Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
Wahid, Abdul; College of Computer Science and Technology, Qingdao University, Qingdao, China
Soofi, Aized Amin; Department of Computer Science, National University of Modern Languages Faisalabad, Pakistan
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Xu, Fang; School of Computer and Information Science, Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
Asif, Muhammad; School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China
Han, Zhu; Department of Electrical and Computer Engineering at the University of Houston, Houston, TX, USA
External co-authors :
yes
Language :
English
Title :
Reconfigurable Intelligent Surfaces Enabled Vehicular Communications: A Comprehensive Survey of Recent Advances and Future Challenges
Original title :
[en] Reconfigurable Intelligent Surfaces Enabled Vehicular Communications: A Comprehensive Survey of Recent Advances and Future Challenges
Publication date :
14 October 2024
Journal title :
IEEE Transactions on Intelligent Vehicles
ISSN :
2379-8904
eISSN :
2379-8858
Publisher :
Institute of Electrical and Electronics Engineers (IEEE)
W. U. Khan et al., “Rate splitting multiple access for next generation cognitive radio enabled LEO satellite networks,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8423–8435, Nov. 2023.
W. U. Khan, A. Ihsan, T. N. Nguyen, Z. Ali, and M. A. Javed, “NOMA-enabled backscatter communications for green transportation in automotive-industry 5.0,” IEEE Trans. Ind. Informat., vol. 18, no. 11, pp. 7862–7874, Nov. 2022.
Z. Wang, C. Lv, and F.-Y. Wang, “A new era of intelligent vehicles and intelligent transportation systems: Digital twins and parallel intelligence,” IEEE Trans. Intell. Veh., vol. 8, no. 4, pp. 2619–2627, Apr. 2023.
J. Liu et al., “RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey,” IEEE Internet Things J., vol. 9, no. 11, pp. 8315–8338, Jun. 2022.
A. Mehta et al., “Securing the future: A comprehensive review of security challenges and solutions in advanced driver assistance systems,” IEEE Access, vol. 12, pp. 643–678, 2024.
W. U. Khan, F. Jameel, N. Kumar, R. Jäntti, and M. Guizani, “Backscatterenabled efficient V2X communication with non-orthogonal multiple access,” IEEE Trans. Veh. Technol., vol. 70, no. 2, pp. 1724–1735, Feb. 2021.
M. Weber, T. Weiss, F. Gechter, and R. Kriesten, “Approach for improved development of advanced driver assistance systems for future smart mobility concepts,” Auton. Intell. Syst., vol. 3, no. 2, Feb. 2023, Art. no. 2.
W. U. Khan, M. A. Javed, T. N. Nguyen, S. Khan, and B. M. Elhalawany, “Energy-efficient resource allocation for 6G backscatter-enabled NOMA IoV networks,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 7, pp. 9775–9785, Jul. 2022.
F. Jameel, W. U. Khan, N. Kumar, and R. Jäntti, “Efficient power-splitting and resource allocation for cellular V2X communications,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 6, pp. 3547–3556, Jun. 2021.
S. Raza, S. Wang, M. Ahmed, M. R. Anwar, M. A. Mirza, and W. U. Khan, “Task offloading and resource allocation for IoV using 5G NR-V2X communication,” IEEE Internet Things J., vol. 9, no. 13, pp. 10397–10410, Jul. 2022.
M. A. Mirza et al., “MCLA task offloading framework for 5G-NR-V2X-based heterogeneous VECNs,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 12, pp. 14329–14346, Dec. 2023.
R. Chen, S. Sun, Y. Liu, X. Hu, Y. Hui, and N. Cheng, “Proactive effects of C-V2X-based vehicle-infrastructure cooperation on the stability of heterogeneous traffic flow,” IEEE Internet Things J., vol. 11, no. 5, pp. 9184–9197, Mar. 2024.
A. Boualouache and T. Engel, “A survey on machine learning-based misbehavior detection systems for 5G and beyond vehicular networks,” IEEE Commun. Surveys Tuts., vol. 25, no. 2, pp. 1128–1172, Secondquarter 2023.
W. Mao, O. U. Akgul, B. Cho, Y. Xiao, and A. Ylä-Jääski, “On-demand vehicular fog computing for beyond 5G networks,” IEEE Trans. Veh. Technol., vol. 72, no. 12, pp. 15237–15253, Dec. 2023.
W. U. Khan, M. A. Jamshed, E. Lagunas, S. Chatzinotas, X. Li, and B. Ottersten, “Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 11, pp. 12961–12972, Nov. 2023.
Q. Liu, R. Luo, H. Liang, and Q. Liu, “Energy-efficient joint computation offloading and resource allocation strategy for ISAC-aided 6G V2X networks,” IEEE Trans. Green Commun. Netw., vol. 7, no. 1, pp. 413–423, Mar. 2023.
M. Ahmed et al., “A survey on vehicular task offloading: Classification, issues, and challenges,” J. King Saud Univ.- Comput. Inf. Sci., vol. 34, no. 7, pp. 4135–4162, 2022.
H. Poddar, S. Ju, D. Shakya, and T. S. Rappaport, “A tutorial on NYUSIM: Sub-terahertz and millimeter-wave channel simulator for 5G, 6G and beyond,” IEEE Commun. Surveys Tuts., vol. 26, no. 2, pp. 824–857, Secondquarter 2024.
N. A. Alhaj et al., “Integration of hybrid networks, AI, ultra massive-MIMO, THz frequency, and FBMC modulation towards 6G requirements: A review,” IEEE Access, vol. 12, pp. 483–513, 2024.
L. Wang et al., “Joint user association and transmission scheduling in integrated mmWave access and terahertz backhaul networks,” IEEE Trans. Veh. Technol., vol. 72, no. 12, pp. 15930–15940, Dec. 2023.
S. Kim, J. Park, J. Moon, and B. Shim, “Fast and accurate terahertz beam management via frequency-dependent beamforming,” IEEE Trans. Wireless Commun., vol. 23, no. 3, pp. 1699–1712, Mar. 2024.
A. M. Elbir, W. Shi, A. K. Papazafeiropoulos, P. Kourtessis, and S. Chatzinotas, “Terahertz-band channel and beam split estimation via array perturbation model,” IEEE Open J. Commun. Soc., vol. 4, pp. 892–907, 2023.
Y. Zhu, B. Mao, and N. Kato, “On a novel high accuracy positioning with intelligent reflecting surface and unscented Kalman filter for intelligent transportation systems in B5G,” IEEE J. Sel. Areas Commun., vol. 42, no. 1, pp. 68–77, Jan. 2024.
J. Su et al., “Semantic communication-based dynamic resource allocation in D2D vehicular networks,” IEEE Trans. Veh. Technol., vol. 72, no. 8, pp. 10784–10796, Aug. 2023.
P. Papadimitratos, A. d. L. Fortelle, K. Evenssen, R. Brignolo, and S. Cosenza, “Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation,” IEEE Commun. Mag., vol. 47, no. 11, pp. 84–95, Nov. 2009.
K. Zheng, Q. Zheng, P. Chatzimisios, W. Xiang, and Y. Zhou, “Heterogeneous vehicular networking: A survey on architecture, challenges, and solutions,” IEEE Commun. Surveys Tuts, vol. 17, no. 4, pp. 2377–2396, Fourthquarter 2015.
H. Khelifi et al., “Named data networking in vehicular ad hoc networks: State-of-the-art and challenges,” IEEE Commun. Surveys Tuts., vol. 22, no. 1, pp. 320–351, Firstquarter 2020.
A. Tassi, M. Egan, R. J. Piechocki, and A. R. Nix, “Modeling and design of millimeter-wave networks for highway vehicular communication,” IEEE Trans. Veh. Technol., vol. 66, no. 12, pp. 10676–10691, Dec. 2017.
M. Almekhlafi, M. A. Arfaoui, C. Assi, and A. Ghrayeb, “A low complexity passive beamforming design for reconfigurable intelligent surface (RIS) in 6G networks,” IEEE Trans. Veh. Technol., vol. 72, no. 5, pp. 6309–6321, May 2023.
Z. Zhang, T. Jiang, and W. Yu, “Localization with reconfigurable intelligent surface: An active sensing approach,” IEEE Trans. Wireless Commun., vol. 23, no. 7, pp. 7698–7711, Jul. 2024.
B. Rana, S.-S. Cho, and I.-P. Hong, “Review paper on hardware of reconfigurable intelligent surfaces,” IEEE Access, vol. 11, pp. 29614–29634, 2023.
H. V. Cheng and W. Yu, “Degree-of-freedom of modulating information in the phases of reconfigurable intelligent surface,” IEEE Trans. Inf. Theory, vol. 70, no. 1, pp. 170–188, Jan. 2024.
J. A. Hodge, K. V. Mishra, B. M. Sadler, and A. I. Zaghloul, “Index-modulated metasurface transceiver design using reconfigurable intelligent surfaces for 6G wireless networks,” IEEE J. Sel. Topics Signal Process., vol. 17, no. 6, pp. 1248–1263, Nov. 2023.
M. Eskandari, H. Huang, A. V. Savkin, and W. Ni, “Model predictive control-based 3D navigation of a RIS-equipped UAV for LoS wireless communication with a ground intelligent vehicle,” IEEE Trans. Intell. Veh., vol. 8, no. 3, pp. 2371–2384, Mar. 2023.
S. Han, F.-Y. Wang, G. Luo, L. Li, and F. Qu, “Parallel surfaces: Service-oriented V2X communications for autonomous vehicles,” IEEE Trans. Intell. Veh., vol. 8, no. 11, pp. 4536–4545, Nov. 2023.
H. Niu et al., “Active RIS assisted rate-splitting multiple access network: Spectral and energy efficiency tradeoff,” IEEE J. Sel. Areas Commun., vol. 41, no. 5, pp. 1452–1467, May 2023.
G. C. Alexandropoulos, N. Shlezinger, I. Alamzadeh, M. F. Imani, H. Zhang, and Y. C. Eldar, “Hybrid reconfigurable intelligent metasurfaces: Enabling simultaneous tunable reflections and sensing for 6G wireless communications,” IEEE Veh. Technol. Mag., vol. 19, no. 1, pp. 75–84, Mar. 2024.
H. Jiang, B. Xiong, H. Zhang, and E. Basar, “Hybrid far-and near-field modeling for reconfigurable intelligent surface assisted V2V channels: A sub-array partition based approach,” IEEE Trans. Wireless Commun., vol. 22, no. 11, pp. 8290–8303, Nov. 2023.
X. Gu, G. Zhang, W. Duan, J. Choi, M. Wen, and P.-H. Ho, “RIS-V2V communications: The way to mitigate doppler shifts and multipath spread,” IEEE Wireless Commun. Lett., vol. 13, no. 3, pp. 746–750, Mar. 2024.
L. Yang et al., “Covert transmission and secrecy analysis of RS-RIS-NOMA-aided 6G wireless communication systems,” IEEE Trans. Veh. Technol., vol. 72, no. 8, pp. 10659–10670, Aug. 2023.
F. Zhou, X. Li, M. Alazab, R. H. Jhaveri, and K. Guo, “Secrecy performance for RIS-based integrated satellite vehicle networks with a UAV relay and MRC eavesdropping,” IEEE Trans. Intell. Veh., vol. 8, no. 2, pp. 1676–1685, Feb. 2023.
W. U. Khan et al., “Opportunities for physical layer security in UAV communication enhanced with intelligent reflective surfaces,” IEEE Wireless Commun., vol. 29, no. 6, pp. 22–28, Dec. 2022.
Y.-C. Liang, R. Long, Q. Zhang, J. Chen, H. V. Cheng, and H. Guo, “Large intelligent surface/antennas (LISA): Making reflective radios smart,” J. Commun. Inf. Netw., vol. 4, no. 2, pp. 40–50, Jun. 2019.
M. Di Renzo et al., “Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come,” EURASIP J. Wireless Commun. Netw., vol. 2019, no. 1, pp. 1–20, 2019.
S. Gong et al., “Toward smart wireless communications via intelligent reflecting surfaces: A contemporary survey,” IEEE Commun. Surveys Tuts., vol. 22, no. 4, pp. 2283–2314, Fourthquarter 2020.
S. Kisseleff, W. A. Martins, H. Al-Hraishawi, S. Chatzinotas, and B. Ottersten, “Reconfigurable intelligent surfaces for smart cities: Research challenges and opportunities,” IEEE Open J. Commun. Soc., vol. 1, pp. 1781–1797, 2020.
M. A. Elmossallamy, H. Zhang, L. Song, K. G. Seddik, Z. Han, and G. Y. Li, “Reconfigurable intelligent surfaces for wireless communications: Principles, challenges, and opportunities,” IEEE Trans. Cogn. Commun. Netw., vol. 6, no. 3, pp. 990–1002, Sep. 2020.
Q. Wu, S. Zhang, B. Zheng, C. You, and R. Zhang, “Intelligent reflecting surface-aided wireless communications: A tutorial,” IEEE Trans. Commun., vol. 69, no. 5, pp. 3313–3351, May 2021.
W. Long, R. Chen, M. Moretti, W. Zhang, and J. Li, “A promising technology for 6G wireless networks: Intelligent reflecting surface,” J. Commun. Inf. Netw., vol. 6, no. 1, pp. 1–16, Mar. 2021.
S. Kisseleff, S. Chatzinotas, and B. Ottersten, “Reconfigurable intelligent surfaces in challenging environments: Underwater, underground, industrial and disaster,” IEEE Access, vol. 9, pp. 150214–150233, 2021.
X. Yuan, Y.-J. A. Zhang, Y. Shi, W. Yan, and H. Liu, “Reconfigurable-intelligent-surface empowered wireless communications: Challenges and opportunities,” IEEE Wireless Commun., vol. 28, no. 2, pp. 136–143, Apr. 2021.
J. Wang et al., “Interplay between RIS and AI in wireless communications: Fundamentals, architectures, applications, and open research problems,” IEEE J. Sel. Areas Commun., vol. 39, no. 8, pp. 2271–2288, Aug. 2021.
S. Zhang, M. Li, M. Jian, Y. Zhao, and F. Gao, “AIRIS: Artificial intelligence enhanced signal processing in reconfigurable intelligent surface communications,” China Commun., vol. 18, no. 7, pp. 158–171, Jul. 2021.
Y. Liu et al., “Reconfigurable intelligent surfaces: Principles and opportunities,” IEEE Commun. Surveys Tuts., vol. 23, no. 3, pp. 1546–1577, thirdquarter 2021.
H. Zhang, B. Di, K. Bian, Z. Han, H. V. Poor, and L. Song, “Toward ubiquitous sensing and localization with reconfigurable intelligent surfaces,” Proc. IEEE, vol. 110, no. 9, pp. 1401–1422, Sep. 2022.
E. Björnson, H. Wymeersch, B. Matthiesen, P. Popovski, L. Sanguinetti, and E. d. Carvalho, “Reconfigurable intelligent surfaces: A signal processing perspective with wireless applications,” IEEE Signal Process. Mag., vol. 39, no. 2, pp. 135–158, Mar. 2022.
B. Zheng, C. You, W. Mei, and R. Zhang, “A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications,” IEEE Commun. Surveys Tuts., vol. 24, no. 2, pp. 1035–1071, Secondquarter 2022.
S. Aboagye, A. R. Ndjiongue, T. M. N. Ngatched, O. A. Dobre, and H. V. Poor, “RIS-assisted visible light communication systems: A tutorial,” IEEE Commun. Surveys Tuts., vol. 25, no. 1, pp. 251–288, Firstquarter 2023.
H. Zhang and B. Di, “Intelligent omni-surfaces: Simultaneous refraction and reflection for full-dimensional wireless communications,” IEEE Commun. Surveys Tuts., vol. 24, no. 4, pp. 1997–2028, Fourthquarter 2022.
K. Faisal and W. Choi, “Machine learning approaches for reconfigurable intelligent surfaces: A survey,” IEEE Access, vol. 10, pp. 27343–27367, 2022.
Y. Zhu, B. Mao, and N. Kato, “Intelligent reflecting surface in 6G vehicular communications: A survey,” IEEE Open J. Veh. Technol., vol. 3, pp. 266–277, 2022.
W. Song, S. Rajak, S. Dang, R. Liu, J. Li, and S. Chinnadurai, “Deep learning enabled IRS for 6G intelligent transportation systems: A comprehensive study,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 11, pp. 12973–12990, Nov. 2023.
S. K. Das et al., “Comprehensive review on ML-based RIS-enhanced IoT systems: Basics, research progress and future challenges,” Comput. Netw., vol. 224, Apr. 2023, Art. no. 109581.
M. Ahmed et al., “A survey on STAR-RIS: Use cases, recent advances, and future research challenges,” IEEE Internet Things J., vol. 10, no. 16, pp. 14689–14711, Aug. 2023.
F. Naaz, A. Nauman, T. Khurshaid, and S.-W. Kim, “Empowering the vehicular network with RIS technology: A state-of-the-art review,” Sensors, vol. 24, no. 2, 2024, Art. no. 337.
W. U. Khan et al., “Learning-based resource allocation for backscatter-aided vehicular networks,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 10, pp. 19676–19690, Oct. 2022.
Q. Wu and R. Zhang, “Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,” IEEE Commun. Mag., vol. 58, no. 1, pp. 106–112, Jan. 2020.
A. Ihsan, W. Chen, M. Asif, W. U. Khan, Q. Wu, and J. Li, “Energy-efficient IRS-aided NOMA beamforming for 6G wireless communications,” IEEE Trans. Green Commun. Netw., vol. 6, no. 4, pp. 1945–1956, Dec. 2022.
A. Mahmood, T. X. Vu, W. U. Khan, S. Chatzinotas, and B. Ottersten, “Optimizing computational and communication resources for MEC network empowered UAV-RIS communication,” in Proc. 2022 IEEE Globecom Workshops, 2022, pp. 974–979.
E. Basar, M. D. Renzo, J. D. Rosny, M. Debbah, M.-S. Alouini, and R. Zhang, “Wireless communications through reconfigurable intelligent surfaces,” IEEE Access, vol. 7, pp. 116753–116773, 2019.
W. U. Khan et al., “Integration of NOMA with reflecting intelligent surfaces: A multi-cell optimization with SiC decoding errors,” IEEE Trans. Green Commun. Netw., vol. 7, no. 3, pp. 1554–1565, Sep. 2023.
R. Su, L. Dai, J. Tan, M. Hao, and R. MacKenzie, “Capacity enhancement for reconfigurable intelligent surface-aided wireless network: From regular array to irregular array,” IEEE Trans. Veh. Technol., vol. 72, no. 5, pp. 6392–6403, May 2023.
W. Khalid, M. A. U. Rehman, T. V. Chien, Z. Kaleem, H. Lee, and H. Yu, “Reconfigurable intelligent surface for physical layer security in 6G-IoT: Designs, issues, and advances,” IEEE Internet Things J., vol. 11, no. 2, pp. 3599–3613, Jan. 2024.
H. Tuan, A. A. Nasir, Y. Chen, E. Dutkiewicz, and H. Poor, “Quantized RIS-aided multi-user secure beamforming against multiple eavesdroppers,” IEEE Trans. Inf. Forensics Secur., vol. 18, pp. 4695–4706, 2023.
Y. Zhang, W. Xia, H. Zhao, G. Zheng, S. Lambotharan, and L. Yang, “Performance analysis of RIS-assisted cell-free massive MIMO systems with transceiver hardware impairments,” IEEE Trans. Commun., vol. 71, no. 12, pp. 7258–7272, Dec. 2023.
T. V. Chien, L. T. Tu, W. Khalid, H. Yu, S. Chatzinotas, and M. D. Renzo, “RIS-assisted wireless communications: Long-term versus short-term phase shift designs,” IEEE Trans. Commun., vol. 72, no. 2, pp. 1175–1190, Feb. 2024.
M. Katwe, K. Singh, B. Clerckx, and C.-P. Li, “Improved spectral efficiency in STAR-RIS aided uplink communication using rate splitting multiple access,” IEEE Trans. Wireless Commun., vol. 22, no. 8, pp. 5365–5382, Aug. 2023.
C. Pan et al., “Intelligent reflecting surface aided MIMO broadcasting for simultaneous wireless information and power transfer,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1719–1734, Aug. 2020.
R. Zhang, K. Xiong, Y. Lu, P. Fan, D. W. K. Ng, and K. B. Letaief, “Energy efficiency maximization in RIS-assisted SWIPT networks with RSMA: A PPO-based approach,” IEEE J. Sel. Areas Commun., vol. 41, no. 5, pp. 1413–1430, May 2023.
Y. Chen, Y. Wang, J. Zhang, P. Zhang, and L. H. Hanzo, “Reconfigurable intelligent surface (RIS)-aided vehicular networks: Their protocols, resource allocation, and performance,” IEEE Veh. Technol. Mag., vol. 17, no. 2, pp. 26–36, Jun. 2022. [Online]. Available: https://api.semanticscholar.org/CorpusID:247291886
X. Liu, Y. Yu, F. Li, and T. S. Durrani, “Throughput maximization for RIS-UAV relaying communications,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 10, pp. 19569–19574, Oct. 2022.
X. Tang et al., “Secure communication with UAV-enabled aerial RIS: Learning trajectory with reflection optimization,” IEEE Trans. Intell. Veh., early access, Oct. 12, 2023, doi: 10.1109/TIV.2023.3323973.
B. Ji, S. Wang, G. Zhang, J. Liu, and S. Mumtaz, “Performance analysis of RIS-assisted V2V communication under multipath interference,” Veh. Commun., vol. 45, Feb. 2024, Art. no. 100696.
X. Yuan, S. Hu, W. Ni, X. Wang, and A. Jamalipour, “Deep reinforcement learning-driven reconfigurable intelligent surface-assisted radio surveillance with a fixed-wing UAV,” IEEE Trans. Inf. Forensics Secur., vol. 18, pp. 4546–4560, 2023.
M. Chen, R. Zeng, Z. Zhang, and H. Wang, “Multiple-RIS-aided vibrio foraging optimization positioning algorithm under Internet of Vehicles environment,” IEEE Trans. Intell. Veh., vol. 9, no. 1, pp. 2390–2398, Jan. 2024.
M. Ahmed et al., “Active reconfigurable intelligent surfaces: Expanding the frontiers of wireless communication-A survey,” IEEE Commun. Surveys Tuts., vol. 27, no. 2, pp. 839–869, Apr. 2025.
X. Yue, M. Song, C. Ouyang, Y. Liu, T. Li, and T. Hou, “Exploiting active RIS in NOMA networks with hardware impairments,” IEEE Trans. Veh. Technol., vol. 73, no. 6, pp. 8207–8221, Jun. 2024.
J. Lončar and Z. Šipuš, “Challenges in design of power-amplifying active metasurfaces,” in Proc. 2020 Int. Symp. ELMAR, Zadar, Croatia, Oct. 2020, pp. 9–12.
K. Zhi, C. Pan, H. Ren, K. K. Chai, and M. Elkashlan, “Active RIS versus passive RIS: Which is superior with the same power budget?,” IEEE Commun. Lett., vol. 26, no. 5, pp. 1150–1154, May 2022.
R. P. Sankar and S. P. Chepuri, “Beamforming in hybrid RIS assisted integrated sensing and communication systems,” in Proc. 2022 30th Eur. Signal Process. Conf., 2022, pp. 1082–1086.
H. Li, S. Shen, and B. Clerckx, “Beyond diagonal reconfigurable intelligent surfaces: From transmitting and reflecting modes to single-, group-, and fully-connected architectures,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2311–2324, Apr. 2023.
Y. Liu et al., “STAR: Simultaneous transmission and reflection for 360°coverage by intelligent surfaces,” IEEE Wireless Commun., vol. 28, no. 6, pp. 102–109, Dec. 2021.
P. Bo, W. Tu, X. Tu, F. Qu, and F.-Y. Wang, “Dual RIS-aided parallel intelligence surface for IoAMVSs: A co-design approach for 3C problems,” IEEE Trans. Intell. Veh., early access, Jan. 2, 2024, doi: 10.1109/TIV.2023.3348996.
X. Yu, V. Jamali, D. Xu, D. W. K. Ng, and R. Schober, “Smart and reconfigurable wireless communications: From IRS modeling to algorithm design,” IEEE Wireless Commun., vol. 28, no. 6, pp. 118–125, Dec. 2021.
C. Han, M. Dianati, R. Tafazolli, R. Kernchen, and X. Shen, “Analytical study of the IEEE 802.11 p MAC sublayer in vehicular networks,” IEEE Trans. Intell. Transp. Syst., vol. 13, no. 2, pp. 873–886, Jun. 2012.
A. Zekri and W. Jia, “Heterogeneous vehicular communications: A comprehensive study,” Ad Hoc Netw., vol. 75, pp. 52–79, Jun. 2018.
S. Abdelhamid, H. S. Hassanein, and G. Takahara, “Vehicle as a resource (VaaR),” IEEE Netw., vol. 29, no. 1, pp. 12–17, Jan./Feb. 2015.
M. Ahmed et al., “Vehicular communication network enabled CAV data offloading: A review,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 8, pp. 7869–7897, Aug. 2023.
I. A. Abbasi and A. S. Khan, “A review of vehicle to vehicle communication protocols for VANETs in the urban environment,” Future Internet, vol. 10, no. 2, pp. 14–28, Feb. 2018.
C. Silva, L. Silva, L. Santos, J. Sarubbi, and A. Pitsillides, “Broadening understanding on managing the communication infrastructure in vehicular networks: Customizing the coverage using the delta network,” Future Internet, vol. 11, no. 1, pp. 1–19, Jan. 2019.
K. Bian, G. Zhang, and L. Song, “Toward secure crowd sensing in vehicle-to-everythingnetworks,”IEEENetw.,vol.32,no.2,pp. 126–131, Mar./Apr. 2018.
W. U. Khan, M. A. Javed, S. Zeadally, E. Lagunas, and S. Chatzinotas, “Intelligent and secure radio environments for 6G vehicular aided hetnets: Key opportunities and challenges,” IEEE Commun. Standards Mag., vol. 7, no. 3, pp. 32–39, Sep. 2023.
S. Park, B. Kim, H. Yoon, and S. Choi, “RA-eV2V: Relaying systems for LTE-V2V communications,” J. Commun. Netw., vol. 20, no. 4, pp. 396–405, Aug. 2018.
A. Bazzi, B. M. Masini, A. Zanella, and I. Thibault, “On the performance of IEEE 802.11 p and LTE-V2V for the cooperative awareness of connected vehicles,” IEEE Trans. Veh. Technol., vol. 66, no. 11, pp. 10419–10432, Nov. 2017.
M. Noor-A-Rahim, G. M. N. Ali, H. Nguyen, and Y. L. Guan, “Performance analysis of IEEE 802.11 p safety message broadcast with and without relaying at road intersection,” IEEE Access, vol. 6, pp. 23786–23799, 2018.
F. Cunha et al., “Data communication in VANETs: Protocols, applications and challenges,” Ad Hoc Netw., vol. 44, pp. 90–103, Jul. 2016.
J. He, Z. Tang, Z. Fan, and J. Zhang, “Enhanced collision avoidance for distributed LTE vehicle to vehicle broadcast communications,” IEEE Commun. Lett., vol. 22, no. 3, pp. 630–633, Mar. 2018.
K. Zhang, Y. Mao, S. Leng, Y. He, and Y. Zhang, “Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading,” IEEE Veh. Technol. Mag., vol. 12, no. 2, pp. 36–44, Jun. 2017.
J. Santa, A. F. Gómez-Skarmeta, and M. Sánchez-Artigas, “Architecture and evaluation of a unified V2V and V2I communication system based on cellular networks,” Comput. Commun., vol. 31, no. 12, pp. 2850–2861, Jul. 2008.
W. U. Khan, F. Jameel, G. A. S. Sidhu, M. Ahmed, X. Li, and R. Jäntti, “Multiobjective optimization of uplink NOMA-enabled vehicle-to-infrastructure communication,” IEEE Access, vol. 8, pp. 84467–84478, 2020.
N. Cheng, N. Lu, N. Zhang, X. S. Shen, and J. W. Mark, “Vehicular WiFi offloading: Challenges and solutions,” Veh. Commun., vol. 1, no. 1, pp. 13–21, Jan. 2014.
R. Morabito, V. Cozzolino, A. Y. Ding, N. Beijar, and J. Ott, “Consolidate IoT edge computing with lightweight virtualization,” IEEE Netw., vol. 32, no. 1, pp. 102–111, Jan./Feb. 2018.
K. Yang, S. Ou, and H.-H. Chen, “On effective offloading services for resource-constrained mobile devices running heavier mobile internet applications,” IEEE Commun. Mag., vol. 46, no. 1, pp. 56–63, Jan. 2008.
A. Pitsillides, C. Douligeris, V. Vassiliou, G. Heijenk, and J. C. d. Oliveira, “The 11th annual mediterranean ad hoc networking workshop (med-hocnet 2012),” Jun. 2012.
A. Ashok, P. Steenkiste, and F. Bai, “Enabling vehicular applications using cloud services through adaptive computation offloading,” in Proc. 6th Int. Workshop Mobile Cloud Comput. Serv.. Paris, France: ACM, Sep. 2015, pp. 1–7.
E. Uhlemann, “Introducing connected vehicles [connected vehicles],” IEEE Veh. Technol. Mag., vol. 10, no. 1, pp. 23–31, Mar. 2015.
B. Gallagher, H. Akalsuka, and H. Suzuki, “Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods,” IEEE Veh. Technol. Mag., vol. 1, no. 4, pp. 4–24, Dec. 2006.
G. Karagiannis et al., “Vehicular networking: A survey and tutorial on requirements, architectures, challenges, standards and solutions,” IEEE Commun. Surveys Tuts., vol. 13, no. 4, pp. 584–616, Fourthquarter 2011.
J. J. Anaya, E. Talavera, F. Jiménez, J. G. Zato, N. Gómez, and J. E. Naranjo, “Geonetworking based V2V mesh communications over WSN,” in Proc. 16th Int. IEEE Conf. Intell. Transp. Syst.. The Hague, Netherlands, Oct. 2013, pp. 2421–2426.
E. D. L. Zhang, “Vehicle stability control system of emergency brake on split-mu road,” in Proc. 9th Int. Conf. Intell. Hum.- Mach. Syst. Cybern., Hangzhou, China, Aug. 2017, pp. 252–255.
R. A. Uzcategui, A. J. D. Sucre, and G. Acosta-Marum, “Wave: A tutorial,” IEEE Commun. Mag., vol. 47, no. 5, pp. 126–133, May 2009.
D. Jiang and L. Delgrossi, “IEEE 802.11 p: Towards an international standard for wireless access in vehicular environments,” in Proc. IEEE Veh. Technol. Conf., May 2008, pp. 2036–2040.
D. Eckhoff, “Simulation of privacy-enhancing technologies in vehicular ad-hoc networks,” Ph.D. dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Mar. 2016.
J. B. Kenney, “Dedicated short-range communications (DSRC) standards in the United States,” Proc. IEEE, vol. 99, no. 7, pp. 1162–1182, Jul. 2011.
W. Liang, Z. Li, H. Zhang, S. Wang, and R. Bie, “Vehicular ad hoc networks: Architectures, research issues, methodologies, challenges, and trends,” Int. J. Distrib. Sensor Netw., vol. 11, no. 8, pp. 102–113, Aug. 2015.
K. A. Rahman and K. E. Tepe, “Towards a cross-layer based MAC for smooth V2V and V2I communications for safety applications in DSRC/WAVE based systems,” in Proc. IEEE Intell. Veh. Symp. Proc., Dearborn, MI, USA, Jun. 2014, pp. 969–973.
R. Jurgen, V2V/V2I Communications for Improved Road Safety and Efficiency. Warrendale, PA, USA: SAE Int., 2012.
D. Dahlgren et al., “Centralized facility and intelligent on-board vehicle platform for collecting, analyzing and distributing information relating to transportation infrastructure and conditions,” .U.S. Patent 7,421,334, Sep. 2008.
M. El-Said, S. Mansour, and A. Arendsen, “DSRC performance analysis in foggy environment for intelligent vehicles system,” Int. J. Recent Innov. Trends Comput. Commun., vol. 5, pp. 807–812, May 2017.
F. J. Martinez, C.-K. Toh, J.-C. Cano, C. T. Calafate, and P. Manzoni, “Emergency services in future intelligent transportation systems based on vehicular communication networks,” IEEE Intell. Transp. Syst. Mag., vol. 2, no. 2, pp. 6–20, Summer 2010.
M. Kovac and A. Leskova, “Innovative applications of cars connectivity network–way to intelligent vehicle,” J. Syst. Integration, vol. 3, no. 4, pp. 51–60, Oct. 2012.
K. Dresner and P. Stone, “A multiagent approach to autonomous intersection management,” J. Artif. Intell. Res., vol. 31, pp. 591–656, Mar. 2008.
J. J. Anaya, P. Merdrignac, O. Shagdar, F. Nashashibi, and J. E. Naranjo, “Vehicle to pedestrian communications for protection of vulnerable road users,” in Proc. IEEE Intell. Veh. Symp. Proc., Dearborn, MI, USA, Jun. 2014, pp. 1037–1042.
S. Andrews, “Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications and cooperative driving,” in Handbook of Intelligent Vehicles, vol. 2, London, Springer, 2012, pp. 1121–1144.
C. Campolo, A. Molinaro, and R. Scopigno, “From today’s VANETs to tomorrow’s planning and the bets for the day after,” Veh. Commun., vol. 2, no. 3, pp. 158–171, Jul. 2015.
M. Lukuc, “Light vehicle driver acceptance clinics preliminary results,” Nat. Highway Traffic Saf. Admin., Tech. Rep., May 2012.
H. Seo, K.-D. Lee, S. Yasukawa, Y. Peng, and P. Sartori, “LTE evolution for vehicle-to-everything services,” IEEE Commun. Mag., vol. 54, no. 6, pp. 22–28, Jun. 2016.
G. Araniti, C. Campolo, M. Condoluci, A. Iera, and A. Molinaro, “LTE for vehicular networking: A survey,” IEEE Commun. Mag., vol. 51, no. 5, pp. 148–157, May 2013.
D. Astely, E. Dahlman, G. Fodor, S. Parkvall, and J. Sachs, “LTE release 12 and beyond [accepted from open call],” IEEE Commun. Mag., vol. 51, no. 7, pp. 154–160, Jul. 2013.
J. Yang, B. Pelletier, and B. Champagne, “Enhanced autonomous resource selection for LTE-based V2V communication,” in Proc. IEEE Veh. Netw. Conf., Columbus, OH, USA, Dec. 2016, pp. 1–6.
C. Hoymann et al., “LTE release 14 outlook,” IEEE Commun. Mag., vol. 54, no. 6, pp. 44–49, Jun. 2016.
G. Cecchini, A. Bazzi, B. M. Masini, and A. Zanella, “Performance comparison between IEEE 802.11 p and LTE-V2V in-coverage and out-of-coverage for cooperative awareness,” in Proc. IEEE Veh. Netw. Conf., Torino, Italy, Nov. 2017, pp. 109–114.
K. Abboud, H. A. Omar, and W. Zhuang, “Interworking of DSRC and cellular network technologies for V2X communications: A survey,” IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 9457–9470, Dec. 2016.
M. Boban, A. Kousaridas, K. Manolakis, J. Eichinger, and W. Xu, “Connected roads of the future: Use cases, requirements, and design considerations for vehicle-to-everything communications,” IEEE Veh. Technol. Mag., vol. 13, no. 3, pp. 110–123, Sep. 2018.
F. Mei, S. Liu, J. Wang, Y. Ge, and T. Feng, “Negotiation-free encryption for securing vehicular unicasting communication,” Appl. Sci., vol. 9, no. 6, Jan. 2019, Art. no. 1121.
J.-K. Choi et al., “Challenges of LTE high-speed railway network to coexist with LTE public safety network,” in Proc. 17th Int. Conf. Adv. Commun. Technol., Seoul, South Korea, Jul. 2015, pp. 543–547.
D. Jia and D. Ngoduy, “Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication,” Transp. Res. Part B: Methodol., vol. 90, pp. 172–191, Aug. 2016.
F. Arena and G. Pau, “An overview of vehicular communications,” Future Internet, vol. 11, no. 2, Feb. 2019, Art. no. 27.
X. Wang, S. Mao, and M. X. Gong, “An overview of 3GPP cellular vehicle-to-everything standards,” GetMobile: Mobile Comput. Commun., vol. 21, no. 3, pp. 19–25, Nov. 2017.
Y. Shibata, A. Sakuraba, G. Sato, and N. Uchida, “IoT based wide area road surface state sensing and communication system for future safety driving,” in Proc. Int. Conf. Adv. Inf. Netw. Appl., Matsue, Japan, Mar. 2019, pp. 1123–1132.
J. Wang, Y. Shao, Y. Ge, and R. Yu, “A survey of vehicle to everything (V2X) testing,” Sensors, vol. 19, no. 2, Jan. 2019, Art. no. 334.
T. Inoue, “5G NR release 16 and millimeter wave integrated access and backhaul,” in Proc. 2020 IEEE Radio Wireless Symp., Jan. 2020, pp. 56–59.
G. Naik, B. Choudhury, and J.-M. Park, “IEEE 802.11 bd & 5G NR V2X: Evolution of radio access technologies for V2X communications,” IEEE Access, vol. 7, pp. 70169–70184, 2019.
K. Ganesan, J. Lohr, P. B. Mallick, A. Kunz, and R. Kuchibhotla, “NR sidelink design overview for advanced V2X service,” IEEE Internet Things Mag., vol. 3, no. 1, pp. 26–30, Mar. 2020.
A. Bhowal and S. Aïssa, “RIS-aided communications in indoor and outdoor environments: Performance analysis with a realistic channel model,” IEEE Trans. Veh. Technol., vol. 71, no. 12, pp. 13356–13360, Dec. 2022.
Q. Wu and R. Zhang, “Intelligent reflecting surface enhanced wireless network: Joint active and passive beamforming design,” IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5394–5409, Nov. 2019.
H. Wang, L. Xu, Z. Yan, and T. A. Gulliver, “Low-complexity MIMO-FBMC sparse channel parameter estimation for industrial Big Data communications,” IEEE Trans. Ind. Informat., vol. 17, no. 5, pp. 3422–3430, May 2021.
E. Björnson, L. Sanguinetti, and M. Debbah, “Reconfigurable intelligent surfaces: Three myths and two critical questions,” IEEE Commun. Mag., vol. 58, no. 12, pp. 90–96, Dec. 2020.
D.TseandP.Viswanath,FundamentalsofWirelessCommunication.New York, NY, USA: Cambridge Univ. Press, 2005.
Z. Yigit, E. Basar, and I. Altunbas, “Low complexity adaptation for reconfigurable intelligent surface-based MIMO systems,” IEEE Commun. Lett., vol. 24, no. 12, pp. 2946–2950, Dec. 2020.
E. Basar, “Reconfigurable intelligent surfaces for doppler effect and multipath fading mitigation,” Front. Commun. Netw., vol. 2, 2021, Art. no. 672857.
A. Goldsmith, Wireless Communications. New York, NY, USA: Cambridge Univ. Press, 2005.
E. Björnson, Ö. Özdogan, and E. G. Larsson, “Intelligent reflecting surface versus decode-and-forward: How large surfaces are needed to beat relaying?,” IEEE Wireless Commun. Lett., vol. 9, no. 2, pp. 244–248, Feb. 2020.
C. Huang et al., “Multi-hop RIS-empowered terahertz communications: A DRL-based hybrid beamforming design,” IEEE J. Sel. Areas Commun., vol. 39, no. 6, pp. 1663–1677, Jun. 2021.
R. Liu et al., “Sustainable wireless networks via reconfigurable intelligent surfaces (RISs): Overview of the ETSI ISG RIS,” 2024, arXiv:2406.05647.
L. Kong, J. He, Y. Ai, S. Chatzinotas, and B. Ottersten, “Channel modeling and analysis of reconfigurable intelligent surfaces assisted vehicular networks,” in Proc. 2021 IEEE Int. Conf. Commun. Workshops, Montreal, QC, Canada, Jun. 2021, pp. 1–6.
Z. Huang, B. Zheng, and R. Zhang, “Roadside IRS-aided vehicular communication: Efficient channel estimation and low-complexity beamforming design,” IEEE Trans. Wireless Commun., vol. 22, no. 9, pp. 5976–5989, Sep. 2023.
Z. Huang et al., “Transforming fading channel from fast to slow: Intelligent refracting surface aided high-mobility communication,” IEEE Trans. Wireless Commun., vol. 21, no. 7, pp. 4989–5003, Jul. 2022.
S. Liu, N. Ma, Y. Zhao, and M. Li, “A novel 3D geometry-based channel model for IRS-aided V2V communication systems in urban traffic merging areas,” in Proc. 2023 IEEE Wireless Commun. Netw. Conf., 2023, pp. 1–6.
L. Xie, X. Yu, and S. Song, “Intelligent reflecting surface-aided maneuvering target sensing: True velocity estimation,” in Proc. 2022 Int. Symp. Wireless Commun. Syst., Hangzhou, China, Oct. 2022, pp. 1–6.
A. Al-Hilo, M. Samir, M. Elhattab, C. Assi, and S. Sharafeddine, “Reconfigurable intelligent surface enabled vehicular communication: Joint user scheduling and passive beamforming,” IEEE Trans. Veh. Technol., vol. 71, no. 3, pp. 2333–2345, Mar. 2022.
W. Jiang and H. D. Schotten, “Intelligent reflecting vehicle surface: A novel IRS paradigm for moving vehicular networks,” in Proc. 2022-2022 IEEE Mil. Commun. Conf., 2022, pp. 793–798.
M. Q. Hamdan and K. A. Hamdi, “When federated learning and mobile intelligent reflecting surfaces assist V2V communications,” in Proc. 2022 IEEE 95th Veh. Technol. Conf., Helsinki, Finland, Jun. 2022, pp. 1–5.
D. Dampahalage, K. S. Manosha, N. Rajatheva, and M. Latva-aho, “Intelligent reflecting surface aided vehicular communications,” in Proc. 2020 IEEE Globecom Workshops, Taipei, Taiwan, Dec. 2020, pp. 1–6.
M. W. Shabir, T. N. Nguyen, J. Mirza, B. Ali, and M. A. Javed, “Transmit and reflect beamforming for max-min SINR in IRS-aided MIMO vehicular networks,” IEEE Trans. Intell. Transp. Syst., vol. 24, no. 1, pp. 1099–1105, Jan. 2023.
D. Tagliaferri, M. Mizmizi, R. A. Ayoubi, G. G. Gentili, and U. Spagnolini, “Conformal intelligent reflecting surfaces for 6G V2V communications,” in Proc. 2022 1st Int. Conf. 6G Netw., Paris, France, Jul. 2022, pp. 1–8.
Q. Ding, J. Luo, H. Shi, and T. Fu, “RIS-aided hybrid precoder design with anti-blocking scheme in high-speed railway,” IEEE Trans. Veh. Technol., vol. 72, no. 3, pp. 3335–3344, Mar. 2023.
J. Feng, P. Zhang, L. Huang, and G. Qian, “Reconfigurable intelligent surface aided DFRC vehicular networks,” in Proc. 6th World Conf. Comput. Commun. Technol., Chengdu, China, Jan. 2023, pp. 1–6.
K. Wang, C.-T. Lam, and B. K. Ng, “IRS-aided predictable high-mobility vehicular communication with doppler effect mitigation,” in Proc. IEEE 93rd Veh. Technol. Conf., Helsinki, Finland, Apr. 2021, pp. 1–6.
Y. Chen, Y. Wang, J. Zhang, and Z. Li, “Resource allocation for intelligent reflecting surface aided vehicular communications,” IEEE Trans. Veh. Technol., vol. 69, no. 10, pp. 12321–12326, Oct. 2020.
P. Saikia, S. Pala, K. Singh, S. K. Singh, and W.-J. Huang, “Proximal policy optimization for RIS-assisted full duplex 6G-V2X communications,” IEEE Trans. Intell. Veh., vol. 9, no. 7, pp. 5134–5149, Jul. 2024.
A. A. Salem, M. Rihan, L. Huang, and A. Benaya, “Intelligent reflecting surface assisted hybrid access vehicular communication: NOMA or OMA contributes the most?,” IEEE Internet Things J., vol. 9, no. 19, pp. 18854–18866, Oct. 2022.
Q. Pan, J. Wu, J. Nebhen, A. K. Bashir, Y. Su, and J. Li, “Artificial intelligence-based energy efficient communication system for intelligent reflecting surface-driven VANETs,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 10, pp. 19714–19726, Oct. 2022.
Y. Chen, Y. Wang, Z. Wang, and P. Zhang, “Robust beamforming for active reconfigurable intelligent omni-surface in vehicular communications,” IEEE J. Sel. Areas Commun., vol. 40, no. 10, pp. 3086–3103, Oct. 2022.
F. Xu et al., “Beyond encryption: Exploring the potential of physical layer security in UAV networks,” J. King Saud Univ.-Comput. Inf. Sci., vol. 35, 2023, Art. no. 101717.
A. Murugesan and A. Govindasamay, “Secrecy capacity analysis of reconfigurable intelligent surface based vehicular networks,” Int. Arab J. Inf. Technol., vol. 19, no. 3, pp. 336–341, May 2022.
A. U. Makarfi, K. M. Rabie, O. Kaiwartya, X. Li, and R. Kharel, “Physical layer security in vehicular networks with reconfigurable intelligent surfaces,” in Proc. IEEE 91st Veh. Technol. Conf., Antwerp, Belgium, May 2020, pp. 1–6.
M. A. Shawky et al., “RIS-Enabled secret key generation for secured vehicular communication in the presence of denial-of-service attacks,” Sensors, vol. 23, no. 8, Apr. 2023, Art. no. 4104.
M. A. Shawky et al., “Reconfigurable intelligent surface-assisted cross-layer authentication for secure and efficient vehicular communications,” Mar. 2023, arXiv:2303.08911.
X. Zhang, H. Xing, W. Zang, Z. Jin, and Y. Shen, “Cybertwin-driven multi-intelligent reflecting surfaces aided vehicular edge computing leveraged by deep reinforcement learning,” in Proc. IEEE 96th Veh. Technol. Conf., 2022, pp. 1–7.
Y. Zhu, B. Mao, and N. Kato, “A dynamic task scheduling strategy for multi-access edge computing in IRS-aided vehicular networks,” IEEE Trans. Emerg. Topics Comput., vol. 10, no. 4, pp. 1761–1771, Oct.–Dec. 2022.
K. Fang, B. Yang, H. Zhu, Z. Lin, and Z. Wang, “Two-way reliable forwarding strategy of RIS symbiotic communications for vehicular named data networks,” IEEE Internet Things J., vol. 10, no. 22, pp. 19385–19398, Nov. 2023.
X. Yuan, J. Chen, N. Zhang, J. Ni, F. R. Yu, and V. C. Leung, “Digital twin-driven vehicular task offloading and IRS configuration in the internet of vehicles,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 12, pp. 24290–24304, Dec. 2022.
M. Laroui, H. Moungla, H. Afifi, M. Y. Selim, and A. E. Kamal, “Intelligent reflecting surface aided vehicular edge computing,” in Proc. 2022 IEEE Glob. Commun. Conf., 2022, pp. 5577–5582.
S. Jaffry, “Intelligent reflecting surface aided wireless energy transfer and mobile edge computing for public transport vehicles,” Feb. 2021, arXiv:2102.08672.
Y. Yu, X. Liu, and V. C. Leung, “Fair downlink communications for RIS-UAV enabled mobile vehicles,” IEEE Wireless Commun. Lett., vol. 11, no. 5, pp. 1042–1046, May 2022.
Y. Cao, S. Xu, J. Liu, and N. Kato, “Toward smart and secure V2X communication in 5G and beyond: A UAV-enabled aerial intelligent reflecting surface solution,” IEEE Veh. Technol. Mag., vol. 17, no. 1, pp. 66–73, Mar. 2022.
M. Karthiga, D. Deepa, K. Chandraprabha, U. Venkateshkumar, and L. Priya, “UAV and vehicular communication with hardware impairments in multiple RIS system,” in Proc. Smart Technol., Commun. Robot., Sathyamangalam, India, Dec. 2022, pp. 1–5.
K. Heimann, B. Sliwa, M. Patchou, and C. Wietfeld, “Modeling and simulation of reconfigurable intelligent surfaces for hybrid aerial and ground-based vehicular communications,” in Proc. 24th Int. ACM Conf. Model., Anal. Simul. Wireless Mobile Syst., Nov. 2021, pp. 67–74.
L. Zhan, H. Zhao, W. Zhang, J. Lin, and X. Zhao, “Performance analysis and node selection of intelligent reflecting surface-aided visible light communication for parallel vehicles,” Wireless Commun. Mobile Comput., vol. 2022, Feb. 2022, Art. no. 1462960.
G. Singh, A. Srivastava, and V. A. Bohara, “Visible light and reconfigurable intelligent surfaces for beyond 5G V2X communication networks at road intersections,” IEEE Trans. Veh. Technol., vol. 71, no. 8, pp. 8137–8151, Aug. 2022.
L. Zhan, H. Zhao, W. Zhang, and J. Lin, “An optimal scheme for the number of mirrors in vehicular visible light communication via mirror array-based intelligent reflecting surfaces,” Photonics, vol. 9, no. 3, Feb. 2022, Art. no. 129.
T. Pal, G. Singh, V. A. Bohara, and A. Srivastava, “Optical IRS aided B5G V2V solution for road safety applications,” Nov. 2022, arXiv:2211.10611.
S. Pan, X. Zhang, and D. K. Sung, “Intelligent reflecting surface-aided centralized scheduling for mmWave V2V networks,” in Proc. 2022 Int. Conf. Comput. Commun. Netw., Honolulu, HI, USA, Jul. 2022, pp. 1–10.
F. S. Woon and C. Y. Leow, “Intelligent reflecting surfaces aided millimetre wave blockage prediction for vehicular communication,” in Proc. IEEE 6th Int. Symp. Telecommun. Technol., Johor Bahru, Malaysia, Nov. 2022, pp. 11–15.
C. Chen et al., “Joint design of phase shift and transceiver beamforming for intelligent reflecting surface assisted millimeter-wave high-speed railway communications,” IEEE Trans. Veh. Technol., vol. 72, no. 5, pp. 6253–6267, May 2023.
Y. Chen, Y. Wang, and L. Jiao, “Robust transmission for reconfigurable intelligent surface aided millimeter wave vehicular communications with statistical CSI,” IEEE Trans. Wireless Commun., vol. 21, no. 2, pp. 928–944, Feb. 2022.
X. Zheng, W. Cheng, and J. Wang, “Position-aided on/off states judgment for 1-Bit RIS assisted V2V MmWave communication,” in Proc. GLOBECOM 2022-2022 IEEE Glob. Commun. Conf., Rio de Janeiro, Brazil, Dec. 2022, pp. 3211–3216.
M. Alsenwi, M. Abolhasan, and J. Lipman, “Intelligent and reliable millimeter wave communications for RIS-aided vehicular networks,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 11, pp. 21582–21592, Nov. 2022.
N. Agrawal, A. Bansal, K. Singh, and C.-P. Li, “Performance evaluation of RIS-assisted UAV-enabled vehicular communication system with multiple non-identical interferers,” IEEE Trans. Intell. Transp. Syst., vol. 23, no. 7, pp. 9883–9894, Jul. 2022.
A. Bansal, N. Agrawal, and K. Singh, “Rate-splitting multiple access for UAV-based RIS-enabled interference-limited vehicular communication system,” IEEE Trans. Intell. Veh., vol. 8, no. 1, pp. 936–948, Jan. 2023.
N. Mensi and D. B. Rawat, “On the performance of partial RIS selection vs. partial relay selection for vehicular communications,” IEEE Trans. Veh. Technol., vol. 71, no. 9, pp. 9475–9489, Sep. 2022.
V. K. Chapala, A. Malik, and S. M. Zafaruddin, “RIS-assisted vehicular network with direct transmission over double-generalized gamma fading channels,” in Proc. 2022 IEEE 95th Veh. Technol. Conf., Helsinki, Finland, Aug. 2022, pp. 1–6.
V. K. Chapala and S. M. Zafaruddin, “RIS-assisted multihop FSO/RF hybrid system for vehicular communications over generalized fading,” 2021, arXiv:2112.12944.
M. H. N. Shaikh, K. Rabie, X. Li, T. Tsiftsis, and G. Nauryzbayev, “On the performance of dual RIS-assisted V2I communication under Nakagamim fading,” in Proc. 2022 IEEE 96th Veh. Technol. Conf., London, U.K., Sep. 2022, pp. 1–5.
K. Li, S. Zhou, and G. Tan, “Performance analysis of a reconfigurable-intelligent-surfaces-assisted V2V communication system,” Electronics, vol. 12, no. 11, May 2023, Art. no. 2383.
F. R. Ghadi, M. Kaveh, and D. Martín, “Performance analysis of RIS/STAR-IOS-Aided V2V NOMA/OMA communications over composite fading channels,” IEEE Trans. Intell. Veh., vol. 9, no. 1, pp. 279–286, Jan. 2024.
M. Mizmizi, R. A. Ayoubi, D. Tagliaferri, K. Dong, G. G. Gentili, and U. Spagnolini, “Conformal metasurfaces: A novel solution for vehicular communications,” IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2804–2817, Apr. 2023.
A. Girdher, A. Bansal, and A. Dubey, “Second-order statistics for IRS-assisted multiuser vehicular network with co-channel interference,” IEEE Trans. Intell. Veh., vol. 8, no. 2, pp. 1800–1812, Feb. 2023.
L. Wei, C. Huang, G. C. Alexandropoulos, C. Yuen, Z. Zhang, and M. Debbah, “Channel estimation for RIS-empowered multi-user MISO wireless communications,” IEEE Trans. Commun., vol. 69, no. 6, pp. 4144–4157, Jun. 2021.
Z. Wang, L. Liu, and S. Cui, “Channel estimation for intelligent reflecting surface assisted multiuser communications,” in Proc. 2020 IEEE Wireless Commun. Netw. Conf., Seoul, South Korea, May 2020, pp. 1–6.
H. Wang, P. Xiao, and X. Li, “Channel parameter estimation of mmWave MIMO system in urban traffic scene: A training channel-based method,” IEEE Trans. Intell. Transp. Syst., vol. 25, no. 1, pp. 754–762, Jan. 2024.
S. Zhang and R. Zhang, “Intelligent reflecting surface aided multiple access: Capacity region and deployment strategy,” in Proc. IEEE 21st Int. Workshop Signal Process. Adv. Wireless Commun., Atlanta, GA, USA, May 2020, pp. 1–5.
L. Zhao et al., “Vehicular computation offloading for industrial mobile edge computing,” IEEE Trans. Ind. Informat., vol. 17, no. 11, pp. 7871–7881, Nov. 2021.
M. A. Javed, T. N. Nguyen, J. Mirza, J. Ahmed, and B. Ali, “Reliable communications for cybertwin-driven 6G IoVs using intelligent reflecting surfaces,” IEEE Trans. Ind. Informat., vol. 18, no. 11, pp. 7454–7462, Nov. 2022.
H. Wang, F. H. Memon, X. Wang, X. Li, N. Zhao, and K. Dev, “Machine learning-enabled MIMO-FBMC communication channel parameter estimation in IIoT: A distributed CS approach,” Digit. Commun. Netw., vol. 9, no. 2, pp. 306–312, 2023.
