The role of vehicular applications in the design of future 6G infrastructures

ICT Express - Tập 9 - Trang 556-570 - 2023
Jorge Gallego-Madrid1, Ramon Sanchez-Iborra1, Jordi Ortiz2, Jose Santa3
1Department of Information and Communication Engineering, University of Murcia, 30100 Murcia, Spain
2University Center of Defense at the Spanish Air Force Academy, 30729 San Javier, Spain
3Technical University of Cartagena, 30202 Cartagena, Spain

Tài liệu tham khảo

Saad, 2020, A vision of 6G wireless systems: Applications, trends, technologies, and open research problems, IEEE Netw., 34, 134, 10.1109/MNET.001.1900287 Qadir, 2022, Towards 6G internet of things: Recent advances, use cases, and open challenges, ICT Express Nguyen, 2022, 6G internet of things: A comprehensive survey, IEEE Internet Things J., 9, 359, 10.1109/JIOT.2021.3103320 3GPP, 2022 3GPP, 2022 3GPP, 2022 Abdel Hakeem, 2022, Vision and research directions of 6G technologies and applications, J. King Saud Univ. - Comput. Inform. Sci., 34, 2419 Dang, 2020, What should 6G be?, Nat. Electron., 3, 20, 10.1038/s41928-019-0355-6 Nguyen, 2022, 6G Internet of Things: A Comprehensive Survey, IEEE Internet Things J., 9, 359, 10.1109/JIOT.2021.3103320 Lu, 2020, 6G: A survey on technologies, scenarios, challenges, and the related issues, J. Ind. Inform. Integr., 19 Mahmoud, 2021, 6G: A comprehensive survey on technologies, applications, challenges, and research problems, Trans. Emerg. Telecommun. Technol., 32 Bhat, 2021, 6G Ecosystem: Current Status and Future Perspective, IEEE Access, 9, 43134, 10.1109/ACCESS.2021.3054833 Ji, 2021, Several Key Technologies for 6G: Challenges and Opportunities, IEEE Commun. Stand. Mag., 5, 44, 10.1109/MCOMSTD.001.2000038 Salameh, 2022, From 5G to 6G—Challenges, Technologies, and Applications, Future Internet, 14, 117, 10.3390/fi14040117 Yaacoub, 2020, A Key 6G Challenge and Opportunity—Connecting the Base of the Pyramid: A Survey on Rural Connectivity, Proc. IEEE, 108, 533, 10.1109/JPROC.2020.2976703 Vaezi, 2022, Cellular, Wide-Area, and Non-Terrestrial IoT: A Survey on 5G Advances and the Road Toward 6G, IEEE Commun. Surv. Tutor., 24, 1117, 10.1109/COMST.2022.3151028 Imoize, 2021, 6G Enabled Smart Infrastructure for Sustainable Society: Opportunities, Challenges, and Research Roadmap, Sensors, 21, 1709, 10.3390/s21051709 Yeh, 2022, Perspectives on 6G wireless communications, ICT Express Kirubasri, 2021, A Recent Survey on 6G Vehicular Technology, Applications and Challenges, 1 A. Mourad, R. Yang, P.H. Lehne, A. de la Oliva, Towards 6G: Evolution of Key Performance Indicators and Technology Trends, in: 2020 2nd 6G Wireless Summit (6G SUMMIT), 2020, pp. 1–5, http://dx.doi.org/10.1109/6GSUMMIT49458.2020.9083759. Guo, 2022, Vehicular intelligence in 6G: Networking, communications, and computing, Veh. Commun., 33 Noor-A-Rahim, 2022, 6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities, Proc. IEEE, 110, 712, 10.1109/JPROC.2022.3173031 3GPP, 2021 G. Kirubasri, S. Sankar, D. Pandey, B.K. Pandey, H. Singh, R. Anand, A Recent Survey on 6G Vehicular Technology, Applications and Challenges, in: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO, 2021, pp. 1–5, http://dx.doi.org/10.1109/ICRITO51393.2021.9596147. Moya Osorio, 2022, Towards 6G-enabled internet of vehicles: Security and privacy, IEEE Open J. Commun. Soc., 3, 82, 10.1109/OJCOMS.2022.3143098 SAE, 2021 Khan, 2022, Level-5 autonomous driving—Are we there yet? A review of research literature, ACM Comput. Surv., 55, 10.1145/3485767 Hakak, 2023, Autonomous vehicles in 5G and beyond: A survey, Veh. Commun., 39 Santa, 2022, Evaluation platform for 5G vehicular communications, Veh. Commun., 38 Chen, 2023, Key technologies related to C-V2X applications, 235 Khalife, 2023, Differential framework for submeter-accurate vehicular navigation with cellular signals, IEEE Trans. Intell. Vehicles, 8, 732, 10.1109/TIV.2022.3187957 Lee, 2022, Design of V2X-based vehicular contents centric networks for autonomous driving, IEEE Trans. Intell. Transp. Syst., 23, 13526, 10.1109/TITS.2021.3125358 Balkus, 2022, A survey of collaborative machine learning using 5G vehicular communications, IEEE Commun. Surv. Tutor., 24, 1280, 10.1109/COMST.2022.3149714 R. Fukatsu, K. Sakaguchi, Automated Driving with Cooperative Perception Using Millimeter-wave V2I Communications for Safe and Efficient Passing Through Intersections, in: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1–5, http://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9449017. Shen, 2022, P-16.7: Discussion on design of intelligent cockpit system in 5g communication era, SID Symp. Digest Tech. Pap., 53, 1069, 10.1002/sdtp.16195 J. Yang, A. Andersson, S. Sanders, 5G-NR Latency Field Performance for Immersive Live Video, in: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1–5, http://dx.doi.org/10.1109/VTC2022-Spring54318.2022.9860479. Daw, 2023, On enhancing semi-persistent scheduling in 5G NR V2X to support emergency communication services in highly congested scenarios, 245 Giuliano, 2023, TEZE: A system to enhance safety in highway tunnels as a new smartphone-based emergency call paradigm, Electronics, 12, 10.3390/electronics12020333 J. Santa, L. Bernal-Escobedo, R. Sanchez-Iborra, On-board unit to connect personal mobility vehicles to the IoT, in: 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), vol. 175, Leuven, Belgium, (ISSN: 18770509) 2020, pp. 173–180, http://dx.doi.org/10.1016/j.procs.2020.07.027. Sanchez-Iborra, 2022, TinyML-Based Fall Detection for Connected Personal Mobility Vehicles, Comput. Mater. Continua, 71, 3869, 10.32604/cmc.2022.022610 Sodhro, 2021, Toward 6G Architecture for Energy-Efficient Communication in IoT-Enabled Smart Automation Systems, IEEE Internet Things J., 8, 5141, 10.1109/JIOT.2020.3024715 Sanchez-Iborra, 2020, TinyML-enabled frugal smart objects: Challenges and opportunities, IEEE Circuits Syst. Mag., 20, 4, 10.1109/MCAS.2020.3005467 Malik, 2022, Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities, IEEE Internet Things J., 9, 14572, 10.1109/JIOT.2021.3068056 Chen, 2022, Efficient Multi-Vehicle Task Offloading for Mobile Edge Computing in 6G Networks, IEEE Trans. Veh. Technol., 71, 4584, 10.1109/TVT.2021.3133586 Prathiba, 2022, Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X, IEEE Trans. Netw. Sci. Eng., 9, 3234, 10.1109/TNSE.2021.3103124 S. Hegde, L. Shi, N.J. Hernández Marcano, R. Shrivastava, O. Blume, R.H. Jacobsen, Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications, in: 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1–5, http://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9449009. Liu, 2021, 5G-V2X based traffic safety warning system through mobile sensor and wireless communication, J. Phys. Conf. Ser., 2083, 10.1088/1742-6596/2083/2/022025 Kashevnik, 2020, Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention, IEEE Trans. Intell. Transp. Syst., 21, 2427, 10.1109/TITS.2019.2918328 Khan, 2019, A Comprehensive Survey of Driving Monitoring and Assistance Systems, Sensors, 19, 2574, 10.3390/s19112574 Ray, 2022, A review on TinyML: State-of-the-art and prospects, J. King Saud Univ. Comput. Inform. Sci., 34, 1595 Hamdi, 2022, Task offloading in vehicular fog computing: State-of-the-art and open issues, Future Gener. Comput. Syst., 133, 201, 10.1016/j.future.2022.03.019 Banafaa, 2023, 6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities, Alex. Eng. J., 64, 245, 10.1016/j.aej.2022.08.017 Meng, 2023, DTUAV: a novel cloud–based digital twin system for unmanned aerial vehicles, SIMULATION, 99, 69, 10.1177/00375497221109575 Osama, 2022, Ultra-reliable low-latency communications: Unmanned aerial vehicles assisted systems, Information, 13, 10.3390/info13090430 Skirnewskaja, 2022, Automotive holographic head-up displays, Adv. Mater., 34, 10.1002/adma.202110463 Chen, 2019, Holographic Augmented Reality Head Up Display for Vehicle Application, SID Symp. Digest Tech. Pap., 50, 680, 10.1002/sdtp.13010 Wang, 2023, City-scale holographic traffic flow data based on vehicular trajectory resampling, Sci. Data, 10, 57, 10.1038/s41597-022-01850-0 Jiang, 2022, Holographic traffic signal control system based on multi-source data fusion, 56 Moioli, 2021, Neurosciences and wireless networks: The potential of brain-type communications and their applications, IEEE Commun. Surv. Tutor., 23, 1599, 10.1109/COMST.2021.3090778 Patil, 2018, Wireless Power Transfer for Vehicular Applications: Overview and Challenges, IEEE Trans. Transp. Electrif., 4, 3, 10.1109/TTE.2017.2780627 Lee, 2020, Wireless Power Transfer System for an Autonomous Electric Vehicle, 467 Sousa, 2018, New Perspectives for Vehicle-to-Vehicle (V2V) Power Transfer, 5183 Hemavathi, 2022, A study on trends and developments in electric vehicle charging technologies, J. Energy Storage, 52, 10.1016/j.est.2022.105013 Do, 2022, Performance Analysis of Clustering Car-Following V2X System With Wireless Power Transfer and Massive Connections, IEEE Internet Things J., 9, 14610, 10.1109/JIOT.2021.3070744 Bonafini, 2022, End-to-end performance assessment of a 3D network for 6G connectivity on mars surface, Comput. Netw., 213, 10.1016/j.comnet.2022.109079 Zhao, 2022, ELITE: An intelligent digital twin-based hierarchical routing scheme for softwarized vehicular networks, IEEE Trans. Mob. Comput., 1 Zhao, 2022, SPIDER: A social computing inspired predictive routing scheme for softwarized vehicular networks, IEEE Trans. Intell. Transp. Syst., 23, 9466, 10.1109/TITS.2021.3122438 Aznar-Poveda, 2021, Simultaneous data rate and transmission power adaptation in V2V communications: A deep reinforcement learning approach, IEEE Access, 9, 122067, 10.1109/ACCESS.2021.3109422 Shahjalal, 2022, Enabling technologies for AI empowered 6G massive radio access networks, ICT Express Ahammed, 2022, A vision on the artificial intelligence for 6G communication, ICT Express Liyanage, 2022, A survey on zero touch network and service management (ZSM) for 5G and beyond networks, J. Netw. Comput. Appl., 203, 10.1016/j.jnca.2022.103362 Li, 2021, Multi-domain solutions for the deployment of private 5G networks, IEEE Access, 9, 106865, 10.1109/ACCESS.2021.3100120 Gupta, 2022, Tactile based intelligence touch technology in IoT configured WCN in B5G/6G-A survey, IEEE Access, 1 Shastri, 2022, A review of millimeter wave device-based localization and device-free sensing technologies and applications, IEEE Commun. Surv. Tutor., 24, 1708, 10.1109/COMST.2022.3177305 Rahman, 2023, On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives, Future Gener. Comput. Syst., 138, 61, 10.1016/j.future.2022.08.004 Zhao, 2022, Intelligent content caching strategy in autonomous driving toward 6G, IEEE Trans. Intell. Transp. Syst., 23, 9786, 10.1109/TITS.2021.3114199 Abdel Hakeem, 2022, Security requirements and challenges of 6G technologies and applications, Sensors, 22 Zhang, 2021, A many-objective optimization based intelligent intrusion detection algorithm for enhancing security of vehicular networks in 6G, IEEE Trans. Veh. Technol., 70, 5234, 10.1109/TVT.2021.3057074 Campos, 2022, Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges, Comput. Netw., 203, 10.1016/j.comnet.2021.108661 Alimi, 2021, Towards a sustainable green design for next-generation networks, Wirel. Pers. Commun., 121, 1123, 10.1007/s11277-021-09062-2