The Key Technologies in Collaborative Communication for Internet of Vehicles Systems
DOI:
https://doi.org/10.54691/m40k4v95Keywords:
Internet of Vehicles Systems; The Key Technologies in Collaborative Communication; Reconfigurable Intelligent Surfaces.Abstract
Collaborative communication technology in the Internet of Vehicles (IoV) is a key component of intelligent transportation systems and has garnered widespread attention in recent years. It involves information sharing between vehicles, vehicles and infrastructure, vehicles and pedestrians, and vehicles and networks, aiming to enhance traffic management and optimization. With the advancement of 5G and the upcoming 6G technologies, IoV systems face demands for low latency, high reliability, and security, and the standardization process continues to deepen. Physical Layer Security (PLS) leverages channel characteristics to enhance communication confidentiality, addressing the limitations of traditional encryption techniques. Reconfigurable Intelligent Surfaces (IRS), as an emerging technology, optimize communication performance by dynamically adjusting signal reflections, particularly improving system performance in signal-degraded environments. Furthermore, resource optimization strategies, such as deep learning and algorithm optimization, further enhance the communication efficiency and reliability of IoV systems. In the future, the integration of these technologies will drive the development of IoV towards more efficient, intelligent, and secure systems.
Downloads
References
[1] Noor-A-Rahim Md, Liu Z, Lee H, et.al. 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities[J]. Proceedings of the IEEE, 2022, 110(6): 712-734.
[2] Abolade O, Okandeji A, Oke A, et al. Overhead effects of data encryption on TCP throughput across IPSEC secured network[J]. Scientific African, 2021, 13: e00855.
[3] Sánchez J D V, Urquiza-Aguiar L, Paredes M C P, et al. Survey on physical layer security for 5G wireless networks[J]. Annals of Telecommunications, 2021, 76(3-4): 155-174.
[4] Wu Q, Zhang S, Zheng B, et.al. Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial[J]. IEEE Transactions on Communications, 2021, 69(5): 3313-3351.
[5] Sehla K, Nguyen T M T, Pujolle G, et.al. Resource Allocation Modes in C-V2X: From LTE-V2X to 5G-V2X[J]. IEEE Internet of Things Journal, 2022, 9(11): 8291-8314.
[6] Jameel F, Javed M A, Zeadally S, et.al. Secure Transmission in Cellular V2X Communications Using Deep Q-Learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10): 17167-17176.
[7] Garcia M H C, Molina-Galan A, Boban M, et.al. A Tutorial on 5G NR V2X Communications[J]. IEEE Communications Surveys Tutorials, 2021, 23(3): 1972-2026.
[8] 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Study on LTE-based V2X Services; (Release 14), 3GPP TR 36.885 V14.0.0, 2016.
[9] 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Architecture enhancements for V2X services; (Release 15), 3GPP TR 23.285 V15.1.0, 2019.
[10] Cao X, Liu L, Cheng Y, et.al. Towards Energy-Efficient Wireless Networking in the Big Data Era: A Survey[J]. IEEE Communications Surveys & Tutorials, 2018, 20(1): 303-332.
[11] Jameel F, Khan W U, Kumar N, et.al. Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(6): 3547-3556.
[12] Liang L, Ye H, Li G Y. Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(10): 2282-2292.
[13] Sun G, Zhang Y, Yu H, et.al. Intersection Fog-Based Distributed Routing for V2V Communication in Urban Vehicular Ad Hoc Networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(6): 2409-2426.
[14] Tian J, Liu Q, Zhang H, et.al. MultiAgent Deep-Reinforcement-Learning-Based Resource Allocation for Heterogeneous QoS Guarantees for Vehicular Networks[J]. IEEE Internet of Things Journal, 2022, 9(3): 1683-1695.
[15] Wang P, Di B, Zhang H, et.al. Cellular V2X Communications in Unlicensed Spectrum: Harmonious Coexistence with VANET in 5G Systems[J]. IEEE Transactions on Wireless Communications, 2018, 17(8): 5212-5224.
[16] Chen Y, Wang Y, Zhang J, et.al. Resource Allocation for Intelligent Reflecting Surface Aided Vehicular Communications[J]. IEEE Transactions on Vehicular Technology, 2020, 69(10): 12321-12326.
[17] Zhang G, Ng H F, Wen W, et.al. 3D Mapping Database Aided GNSS Based Collaborative Positioning Using Factor Graph Optimization[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(10): 6175-6187.
[18] Lin J, Yang P, Zhang N, et.al. Low-Latency Edge Video Analytics for On-Road Perception of Autonomous Ground Vehicles[J]. IEEE Transactions on Industrial Informatics, 2023, 19(2): 1512-1523.
[19] Xiong H, Yao T, Wang H, et.al. A Survey of Public-Key Encryption With Search Functionality for Cloud-Assisted IoT[J]. IEEE Internet of Things Journal, 2022, 9(1): 401-418.
[20] Chhikara P, Tekchandani R, Kumar N, et.al. An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices[J]. IEEE Internet of Things Journal, 2021, 8(16): 12597-12609.
[21] Zhang N, Ai Y, Zhang D, et.al. Advances and Challenges in Physical Layer Security: A Comprehensive Review[C]//2023 International Conference on Ubiquitous Communication (Ucom). 2023: 83-87.
[22] Kumar Megha S, Ramanathan R, Jayakumar M. Key less physical layer security for wireless networks: A survey[J]. Engineering Science and Technology, an International Journal, 2022, 35: 101260.
[23] Jorswieck E, Tomasin S, Sezgin A. Broadcasting Into the Uncertainty: Authentication and Confidentiality by Physical-Layer Processing[J]. Proceedings of the IEEE, 2015, 103(10): 1702-1724.
[24] Oggier F, Solé P, Belfiore J C. Lattice Codes for the Wiretap Gaussian Channel: Construction and Analysis[J]. IEEE Transactions on Information Theory, 2016, 62(10): 5690-5708.
[25] Li M, Ti G, Liu Q. Secure Beamformer Designs in MU-MIMO Systems With Multiuser Interference Exploitation[J]. IEEE Transactions on Vehicular Technology, 2018, 67(9): 8288-8301.
[26] Ruby R, Pham Q V, Wu K, et.al. Enhancing Secrecy Performance of Cooperative NOMA-Based IoT Networks via Multiantenna-Aided Artificial Noise[J]. IEEE Internet of Things Journal, 2022, 9(7): 5108-5127.
[27] Jameel F, Wyne S, Kaddoum G, et.al. A Comprehensive Survey on Cooperative Relaying and Jamming Strategies for Physical Layer Security[J]. IEEE Communications Surveys & Tutorials, 2019, 21(3): 2734-2771.
[28] Pham T V, Pham A T. Energy Efficient Artificial Noise-Aided Precoding Designs for Secured Visible Light Communication Systems[J]. IEEE Transactions on Wireless Communications, 2021, 20(1): 653-666.
[29] Wang H, Ju Y, Zhang N, et.al. Resisting Malicious Eavesdropping: Physical Layer Security of mmWave MIMO Communications in Presence of Random Blockage[J]. IEEE Internet of Things Journal, 2022, 9(17): 16372-16385.
[30] Yerrapragada A K, Eisman T, Kelley B. Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications[J]. IEEE Open Journal of the Communications Society, 2021, 2: 2232-2242.
[31] Wang C, Li Z, Xia X G, et.al. Physical Layer Security Enhancement Using Artificial Noise in Cellular Vehicle-to-Everything (C-V2X) Networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 15253-15268.
[32] Jangsher S, Al-Dweik A, Iraqi Y, et.al. Group Secret Key Generation Using Physical Layer Security for UAV Swarm Communications[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(6): 8550-8564.
[33] Sheng Z, Tuan H D, Nasir A A, et al. Secure UAV-Enabled Communication Using Han–Kobayashi Signaling[J]. IEEE Transactions on Wireless Communications, 2020, 19(5): 2905-2919.
[34] He M, Ni J, He Y, et.al. Low-Complexity Phased-Array Physical Layer Security in Millimeter-Wave Communication for Cybertwin-Driven V2X Applications[J]. IEEE Transactions on Vehicular Technology, 2022, 71(5): 4573-4583.
[35] Ai Y, deFigueiredo F A P, Kong L, et.al. Secure Vehicular Communications Through Reconfigurable Intelligent Surfaces[J]. IEEE Transactions on Vehicular Technology, 2021, 70(7): 7272-7276.
[36] Hamamreh J M, Furqan H M, Arslan H. Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey[J]. IEEE Communications Surveys & Tutorials, 2019, 21(2): 1773-1828.
[37] Leung-Yan-Cheong S, Hellman M. The Gaussian wire-tap channel[J]. IEEE Transactions on Information Theory, 1978, 24(4): 451-456.
[38] Barros J, D. Rodrigues M R. Secrecy Capacity of Wireless Channels[C]//2006 IEEE International Symposium on Information Theory. 2006: 356-360.
[39] Wang L, Liu J, Chen M, et.al. Optimization-Based Access Assignment Scheme for Physical-Layer Security in D2D Communications Underlaying a Cellular Network[J]. IEEE Transactions on Vehicular Technology, 2018, 67(7): 5766-5777.
[40] Wang W, Teh K C, Li K H. Enhanced Physical Layer Security in D2D Spectrum Sharing Networks[J]. IEEE Wireless Communications Letters, 2017, 6(1): 106-109.
[41] Liu Y, Wang W, Chen H H, et.al. Secrecy Rate Maximization via Radio Resource Allocation in Cellular Underlaying V2V Communications[J]. IEEE Transactions on Vehicular Technology, 2020, 69(7): 7281-7294.
[42] Chen Y, Zhang B, Hu J, et.al. Analysis on Energy Efficiency of Large Scale Intelligent Reflecting Surface-Enabled Networks[J]. IEEE Communications Letters, 2023, 27(10): 2802-2806.
[43] Sun H, Zhao Z, Cheng H, et.al. IRS-Assisted RF-Powered IoT Networks: System Modeling and Performance Analysis[J]. IEEE Transactions on Communications, 2023, 71(4): 2425-2440.
[44] Peng Q, Wu Q, Chen G, et.al. Hybrid Active-Passive IRS Assisted Energy-Efficient Wireless Communication[J]. IEEE Communications Letters, 2023, 27(8): 2202-2206.
[45] Tang J, Peng Z, So D K C, et.al. Energy Efficiency Optimization for a Multiuser IRS-Aided MISO System With SWIPT[J]. IEEE Transactions on Communications, 2023, 71(10): 5950-5962.
[46] Kang Z, You C, Zhang R. Active-Passive IRS aided Wireless Communication: New Hybrid Architecture and Elements Allocation Optimization[J]. IEEE Transactions on Wireless Communications, 2024: 1-1.
[47] Ur Rehman H, Bellili F, Mezghani A, et.al. Joint Active and Passive Beamforming Design for IRS-Assisted Multi-User MIMO Systems: A VAMP-Based Approach[J]. IEEE Transactions on Communications, 2021, 69(10): 6734-6749.
[48] Khan W U, Lagunas E, Ali Z, et.al. Opportunities for Physical Layer Security in UAV Communication Enhanced with Intelligent Reflective Surfaces[J]. IEEE Wireless Communications, 2022, 29(6): 22-28.
[49] Huang Z, Zheng B, Zhang R. Transforming Fading Channel from Fast to Slow: IRS-Assisted High-Mobility Communication[M]. 2021.
[50] Wang X, Shu F, Shi W, et.al. Beamforming Design for IRS-Aided Decode-and-Forward Relay Wireless Network[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 198-207.
[51] Shi X, Deng N, Zhao N, et.al. Coverage Enhancement in Millimeter-Wave Cellular Networks via Distributed IRSs[J]. IEEE Transactions on Communications, 2023, 71(2): 1153-1167.
[52] Xu X, Ren H, Bao J, et.al. An Enhanced Interference Alignment Strategy With MIL Criterion and RCG Algorithm for IRS-Assisted Multiuser MIMO[J]. IEEE Communications Letters, 2023, 27(3): 1001-1005.
[53] Li Z, Chen W, Wu Q, et al. Joint Beamforming Design and Power Splitting Optimization in IRS-Assisted SWIPT NOMA Networks[M]. 2021.
[54] Thomas A, Deka K, Sharma S, et al. IRS-Assisted OTFS System: Design and Analysis[J]. IEEE Transactions on Vehicular Technology, 2023, 72(3): 3345-3358.
[55] Yang Y, Zheng B, Zhang S, et.al. Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization[J]. IEEE Transactions on Communications, 2020, 68(7): 4522-4535.
[56] Evmorfos S, Petropulu A P, Poor H V. Actor-Critic Methods for IRS Design in Correlated Channel Environments: A Closer Look Into the Neural Tangent Kernel of the Critic[J]. IEEE Transactions on Signal Processing, 2023, 71: 4029-4044.
[57] Sweta S, Dubey A, Nguyen V L. Efficient IRS-Aided Rate Optimizations for Dual Functional Radar and Communications[J]. IEEE Communications Letters, 2024, 28(1): 39-42.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Scientific Journal of Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






