5G NR-V2X: Toward Connected and Cooperative Autonomous Driving

Network Slicing in 5G: Survey and Challenges

Foukas, X., Patounas, G., Elmokashfi, A. M., & Marina, M. K. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600951 · Cited by 1,173 · see citing works

Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey

Busari, S. A., Huq, K. M. S., Mumtaz, S., Dai, L., & Rodrı́guez, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2787460 · Cited by 732 · see citing works

IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications

Naik, G., Choudhury, B., & Park, J.-M. J. (2019) · IEEE Access · doi:10.1109/access.2019.2919489 · Cited by 581 · see citing works

Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions

Morocho-Cayamcela, M. E., Lee, H., & Lim, W. (2019) · IEEE Access · doi:10.1109/access.2019.2942390 · Cited by 421 · see citing works

Toward Intelligent Vehicular Networks: A Machine Learning Framework

Liang, L., Ye, H., & Li, G. Y. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2872122 · Cited by 273 · see citing works

An overview of channel coding for 5G NR cellular communications

Bae, J. H., Abotabl, A. A., Lin, H.-P., Song, K.-B., & Lee, J. (2019) · APSIPA Transactions on Signal and Information Processing · doi:10.1017/atsip.2019.10 · Cited by 160 · see citing works

6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., & Poor, H. V. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3173031 · Cited by 737 · see citing works

The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System

Gohar, A., & Nencioni, G. (2021) · Sustainability · doi:10.3390/su13095188 · Cited by 325 · see citing works

Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain

Biswas, A., & Wang, H.-C. (2023) · Sensors · doi:10.3390/s23041963 · Cited by 289 · see citing works

Autonomous vehicles in 5G and beyond: A survey

Hakak, S., Gadekallu, T. R., Maddikunta, P. K. R., Ramu, S. P., Parimala, M., de Alwis, C., & Liyanage, M. (2022) · Vehicular Communications · doi:10.1016/j.vehcom.2022.100551 · Cited by 240 · see citing works

URLLC and eMBB in 5G Industrial IoT: A Survey

Khan, B. S., Jangsher, S., Ahmed, A., & Al‐Dweik, A. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3189013 · Cited by 222 · see citing works

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio, D. P. M., Ahmad, I., Sánchez, J. D. V., Gurtov, A., Scholliers, J., Kutila, M., & Porambage, P. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3143098 · Cited by 185 · see citing works

Vehicle-to-everything (V2X) in the autonomous vehicles domain – A technical review of communication, sensor, and AI technologies for road user safety

Yusuf, S. A., Khan, A. A., & Souissi, R. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100980 · Cited by 192 · see citing works

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Abdelkader, G., Elgazzar, K., & Khamis, A. M. (2021) · Sensors · doi:10.3390/s21227712 · Cited by 164 · see citing works

Positioning in 5G and 6G Networks—A Survey

Mogyorósi, F., Revisnyei, P., Pašić, A., Papp, Z., Törös, I., Varga, P., & Pašíć, A. (2022) · Sensors · doi:10.3390/s22134757 · Cited by 133 · see citing works

Roadside Unit Deployment in Internet of Vehicles Systems: A Survey

Guerna, A., Bitam, S., & Calafate, C. T. (2022) · Sensors · doi:10.3390/s22093190 · Cited by 129 · see citing works

A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

Katare, D., Perino, D., Nurmi, J., Warnier, M., Janssen, M., & Ding, A. Y. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3302474 · Cited by 119 · see citing works

Mobile edge computing for V2X architectures and applications: A survey

Bréhon–Grataloup, L., Kacimi, R., & Beylot, A. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.108797 · Cited by 108 · see citing works

Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity

Tera, S. P., Chinthaginjala, R., Pau, G., & Kim, T. H. (2024) · IEEE Access · doi:10.1109/access.2024.3523327 · Cited by 105 · see citing works

6G: The Intelligent Network of Everything

Pennanen, H., Hänninen, T., Tervo, O., Tölli, A., & Latva‐aho, M. (2024) · IEEE Access · doi:10.1109/access.2024.3521579 · Cited by 116 · see citing works

Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach

Xu, X., Liu, K., Dai, P., Jin, F., Ren, H., Zhan, C., & Guo, S. (2022) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2022.102780 · Cited by 91 · see citing works

Cooperative Deep Reinforcement Learning Enabled Power Allocation for Packet Duplication URLLC in Multi-Connectivity Vehicular Networks

Xue, J., Yu, K., Zhang, T., Zhou, H., Zhao, L., & Shen, X. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3347580 · Cited by 78 · see citing works

LoRa Architecture for V2X Communication: An Experimental Evaluation with Vehicles on the Move

Haque, K. F., Abdelgawad, A., Yanambaka, V. P., & Yelamarthi, K. (2020) · Sensors · doi:10.3390/s20236876 · Cited by 65 · see citing works

5G System Overview for Ongoing Smart Applications: Structure, Requirements, and Specifications

Attar, H. H., Issa, H., Ababneh, J., Abbasi, M., Solyman, A., Khosravi, M. R., & Agieb, R. S. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/2476841 · Cited by 62 · see citing works

Towards C-V2X Enabled Collaborative Autonomous Driving

He, Y., Wu, B., Dong, Z., Wan, J., & Shi, W. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3299844 · Cited by 60 · see citing works

Exploring the key technologies and applications of 6G wireless communication network

Li, P.-F., Fan, J.-X., & Wu, J.-H. (2025) · iScience · doi:10.1016/j.isci.2025.112281 · Cited by 59 · see citing works

Bringing webassembly to resource-constrained iot devices for seamless device-cloud integration

Li, B., Fan, H., Gao, Y. C., & Dong, W. (2022) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3498361.3538922 · Cited by 45 · see citing works

Traffic flow digital twin generation for highway scenario based on radar-camera paired fusion

Li, Y., & Zhang, W. (2023) · Scientific Reports · doi:10.1038/s41598-023-27696-z · Cited by 41 · see citing works

Hybrid mmWave-Li-Fi 5G Architecture for Reconfigurable Variable Latency and Data Rate Communications

Lau, I., Ekpo, S., Zafar, M., Ijaz, M., & Gibson, A. (2023) · IEEE Access · doi:10.1109/access.2023.3270777 · Cited by 41 · see citing works

V2X Sidelink Localization of Connected Automated Vehicles

Decarli, N., Guerra, A., Giovannetti, C., Guidi, F., & Masini, B. M. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3322853 · Cited by 42 · see citing works

Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey

Nurcahyani, I., & Lee, J. W. (2021) · Sensors · doi:10.3390/s21196542 · Cited by 40 · see citing works

Resource allocation in V2X communication: State-of-the-art and research challenges

Nair, A. R., & Tanwar, S. (2024) · Physical Communication · doi:10.1016/j.phycom.2024.102351 · Cited by 39 · see citing works

UAV-Aided Positioning Systems for Ground Devices: Fundamental Limits and Algorithms

Liang, T., Zhang, T., Yang, J., Feng, D., & Zhang, Q. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3144234 · Cited by 39 · see citing works

Cellular V2X Communications in the Presence of Big Vehicle Shadowing: Performance Analysis and Mitigation

Nguyen, H., Noor‐A‐Rahim, M., Guan, Y. L., & Pesch, D. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3212704 · Cited by 38 · see citing works

Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Kose, A., Lee, H., Foh, C. H., & Dianati, M. (2021) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2021.3112533 · Cited by 36 · see citing works

Hierarchical Federated Learning in Multi-Hop Cluster-Based VANETs

HaghighiFard, M. S., & Çöleri, S. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3569179 · Cited by 30 · see citing works

RLSS: A Reinforcement Learning Scheme for HD Map Data Source Selection in Vehicular NDN

Wu, F., Yang, W., Lu, J., Lyu, F., Ren, J., & Zhang, Y. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3128636 · Cited by 28 · see citing works

Autonomous driving under V2X environment: state-of-the-art survey and challenges

Yang, X., Shi, Y., Xing, J., & Liu, Z. (2022) · Intelligent Transportation Infrastructure · doi:10.1093/iti/liac020 · Cited by 27 · see citing works

Quantum Key Distribution for V2I communications with software‐defined networking

Stavdas, A., Kosmatos, E. A., Maple, C. R., Hugues-Salas, E., Epiphaniou, G., Fowler, D. S., Razak, S. A., Matrakidis, C., Yuan, H., & Lord, A. (2023) · IET Quantum Communication · doi:10.1049/qtc2.12070 · Cited by 26 · see citing works

5G enabled smart cities: A real-world evaluation and analysis of 5G using a pilot smart city application

Banerjee, A., Costa, B., Forkan, A. R. M., Kang, Y., Carrillo, F. M., McCarthy, C. D., Ghaderi, ‬., Georgakopoulos, D., & Jayaraman, P. P. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101326 · Cited by 25 · see citing works

Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges

Dulaj, K., Alhammadi, A., Shayea, I. A. M., El‐Saleh, A. A., & Alnakhli, M. A. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3564361 · Cited by 30 · see citing works

SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems

Puligheddu, C., Ashdown, J., Chiasserini, C. F., & Restuccia, F. (2023) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom53939.2023.10228870 · Cited by 25 · see citing works

Cooperative Lidar Sensing for Pedestrian Detection: Data Association Based on Message Passing Neural Networks

Tedeschini, B. C., Brambilla, M., Barbieri, L., Balducci, G., & Nicoli, M. (2023) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2023.3304002 · Cited by 24 · see citing works

Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications

Khan, N., & Çöleri, S. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3424398 · Cited by 23 · see citing works

Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things

Nyangaresi, V. O., Ahmad, M., Alkhayyat, A. H., & Feng, W. (2022) · Expert Systems · doi:10.1111/exsy.13126 · Cited by 23 · see citing works

5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey

Zhou, B., Liu, Z., & Su, H. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3420084 · Cited by 21 · see citing works

Task Offloading Based on the Fusion of Model- and Data-Driven Intelligence for Vehicular Edge Computing Networks

Huang, X., Chen, Y., Liu, Z., Zhao, S., Li, Z., Chen, R., & Guan, Q. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3546304 · Cited by 21 · see citing works

V2X Wireless Technology Identification Using Time–Frequency Analysis and Random Forest Classifier

Skiribou, C., & Elbahhar, F. (2021) · Sensors · doi:10.3390/s21134286 · Cited by 21 · see citing works

When Cryptography Needs a Hand: Practical Post-Quantum Authentication for V2V Communications

Twardokus, G., Bindel, N., Rahbari, H., & McCarthy, S. (2024) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2024.24267 · Cited by 21 · see citing works

Towards 6G vehicular networks: Vision, technologies, and open challenges

Lang, P., Tian, D., Han, X., Zhang, P., Duan, X., Zhou, J., & Leung, V. C. M. (2024) · Computer Networks · doi:10.1016/j.comnet.2024.110916 · Cited by 22 · see citing works

Age of Processing-Based Data Offloading for Autonomous Vehicles in MultiRATs Open RAN

Ndikumana, A., Nguyen, K. K., & Cheriet, M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3192098 · Cited by 20 · see citing works

A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network

Javed, F., Khan, Z. A., Rizwan, S., Shahzadi, S., Chaudhry, N. R., & Iqbal, M. (2023) · Sensors · doi:10.3390/s23135817 · Cited by 20 · see citing works

A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation

Zhang, X., Zhang, H., Tang, H., Liang, L., Cheng, L., Chen, X., Ding, W., & Zhang, X.-P. S. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3422506 · Cited by 19 · see citing works

Optimizing Autonomous Vehicle Communication through an Adaptive Vehicle-to-Everything (AV2X) Model: A Distributed Deep Learning Approach

Osman, R. A. (2023) · Electronics · doi:10.3390/electronics12194023 · Cited by 20 · see citing works

OTFCS-Modulated Waveform Design for Joint Grant-Free Random Access and Positioning in C-V2X

Ma, Y., Ma, G., Ai, B., Liu, J., Wang, N., & Zhong, Z. D. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3322796 · Cited by 19 · see citing works

Deep Reinforcement Learning Based Resource Allocation with Radio Remote Head Grouping and Vehicle Clustering in 5G Vehicular Networks

Park, H., & Lim, Y. (2021) · Electronics · doi:10.3390/electronics10233015 · Cited by 19 · see citing works

The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems

Chukhno, N., Chukhno, O., Moltchanov, D., Gaydamaka, A., Samuylov, A. K., Molinaro, A., Koucheryavy, Y. A., Iera, A., & Araniti, G. (2022) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2022.3206595 · Cited by 18 · see citing works

Mobility-Aware Proactive Flow Setup in Software-Defined Mobile Edge Networks

Zeng, Y. W., Ye, B., Tang, B., Lu, S., Xu, F., Guo, S., & Qu, Z. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3238396 · Cited by 18 · see citing works

Designing a 6G Testbed for Location: Use Cases, Challenges, Enablers and Requirements

Khatib, E. J., Alvarez-Merino, C. S., Luo-Chen, H. Q., & Barco, R. (2023) · IEEE Access · doi:10.1109/access.2023.3240775 · Cited by 18 · see citing works

Explainable AI-Aided Feature Selection and Model Reduction for DRL-Based V2X Resource Allocation

Khan, N., Abdallah, A., Celik, A., Eltawil, A. M., & Coleri, S. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3554655 · Cited by 20 · see citing works

$\text{Omni-CNN}$: A Modality-Agnostic Neural Network for mmWave Beam Selection

Salehi, B., Roy, D., Jian, T., Dick, C., Ioannidis, S., & Chowdhury, K. R. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3351053 · Cited by 17 · see citing works

A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications

Chen, L., He, Y., Yu, F. R., Pan, W., & Ming, Z. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3356796 · Cited by 17 · see citing works

Evaluation and Comparison of 5G, WiFi, and Fusion With Incomplete Maps for Indoor Localization

Alvarez-Merino, C. S., Khatib, E. J., Luo-Chen, H. Q., Tarrías, A., & Barco, R. (2024) · IEEE Access · doi:10.1109/access.2024.3384625 · Cited by 17 · see citing works

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis

Zhang, X., Yang, B., Yu, Z., Cao, X., Alexandropoulos, G. C., Zhang, Y., Debbah, M. A., & Yuen, C. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3486555 · Cited by 17 · see citing works

Performance Estimation in V2X Networks Using Deep Learning-Based M-Estimator Loss Functions in the Presence of Outliers

Abdellah, A. R., Alshahrani, A. S., Muthanna, A., & Koucheryavy, A. (2021) · Symmetry · doi:10.3390/sym13112207 · Cited by 15 · see citing works

Addressing uncertainty challenges for autonomous driving in real-world environments

Suk, H., Lee, Y., Kim, T., & Kim, S. (2023) · Advances in computers · doi:10.1016/bs.adcom.2023.06.004 · Cited by 15 · see citing works

DAIR-V2XReid: A New Real-World Vehicle-Infrastructure Cooperative Re-ID Dataset and Cross-Shot Feature Aggregation Network Perception Method

Wang, H., Niu, Y., Chen, L., Li, Y., Sotelo, M. Á., Li, Z., & Cai, Y. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3367723 · Cited by 15 · see citing works

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications

Kose, A., Lee, H., Foh, C. H., & Shojafar, M. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3351488 · Cited by 15 · see citing works

Reuse Distance-Aided Resource Selection Mechanisms for NR-V2X Sidelink Communication

Yin, J., & Hwang, S.-H. (2023) · Sensors · doi:10.3390/s24010253 · Cited by 14 · see citing works

Optimized Hysteresis Region Authenticated Handover for 5G HetNets

Nyangaresi, V. O., Abduljabbar, Z. A., Sibahee, M. A. A., Ibrahim, A., Yahya, A. N., Abduljaleel, I. Q., & Abood, E. W. (2022) · Algorithms for intelligent systems · doi:10.1007/978-981-19-1653-3_9 · Cited by 14 · see citing works

AoA-Based Position and Orientation Estimation Using Lens MIMO in Cooperative Vehicle-to-Vehicle Systems

Jo, J.-H., Shim, J.-N., Kim, B., Chae, C., & Kim, D. K. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3322809 · Cited by 14 · see citing works

Traffic and Obstacle-Aware UAV Positioning in Urban Environments Using Reinforcement Learning

Shafafi, K., Ricardo, M., & Campos, R. L. (2024) · IEEE Access · doi:10.1109/access.2024.3515654 · Cited by 14 · see citing works

Federated Multiagent Reinforcement Learning for Resource Allocation in NR-V2X Mode 2

Saad, M. M., Tariq, M. A., Ajmal, M., Kim, D., & Srivastava, G. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3555195 · Cited by 16 · see citing works

Next‐generation wireless communication technologies for improved disaster response and management

Song, H., & Chung, J. (2025) · ETRI Journal · doi:10.4218/etrij.2024-0546 · Cited by 13 · see citing works

Design of Triple-Band (DSRC, 5G, 6G) Antenna for Autonomous Vehicle Telematics

Bryant, B., Won, H., Hong, Y., Lee, W., & Choi, M. (2022) · Electronics · doi:10.3390/electronics11162523 · Cited by 13 · see citing works

Analysis of V2X Sidelink Positioning in sub-6 GHz

Ge, Y., Stark, M., Keskin, M. F., Hofmann, F., Hansen, T., & Wymeersch, H. (2023) · IEEE International Symposium on Joint Communications & Sensing (JC&S) · doi:10.1109/jcs57290.2023.10107458 · Cited by 13 · see citing works

Access-Side DDoS Defense for Space-Air-Ground Integrated 6G V2X Networks

Chen, X., Feng, W., Chen, Y., Ge, N., & He, Y. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3393752 · Cited by 13 · see citing works

5G Perspective Of Connected Autonomous Vehicles: Current Landscape and Challenges Toward 6G

Kakkavas, G., Diamanti, M., Karyotis, V. A., Nyarko, K. N., Gabriel, M., Zafeiropoulos, A., Papavassiliou, S., & Moessner, K. (2024) · IEEE Wireless Communications · doi:10.1109/mwc.014.2300277 · Cited by 13 · see citing works

V2X Sidelink Positioning in FR1: Scenarios, Algorithms, and Performance Evaluation

Ge, Y., Stark, M., Keskin, M. F., Hofmann, F., Hansen, T., & Wymeersch, H. (2024) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2024.3414579 · Cited by 13 · see citing works

Radar Imaging Based on IEEE 802.11ad Waveform in V2I Communications

Han, G., Choi, J. J., & Heath, R. W. (2022) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2022.3213488 · Cited by 13 · see citing works

Selecting Remote Driving Locations for Latency Sensitive Reliable Tele-Operation

Zulqarnain, S. Q., & Lee, S. (2021) · Applied Sciences · doi:10.3390/app11219799 · Cited by 11 · see citing works

CCPAV: Centralized cooperative perception for autonomous vehicles using CV2X

Hakim, B., Sorour, S., Hefeida, M., Alasmary, W., & Almotairi, K. H. (2023) · Ad Hoc Networks · doi:10.1016/j.adhoc.2023.103101 · Cited by 11 · see citing works

Two-Timescale Vehicle Association and Resource Management for C-V2X Networks

Xue, T., Ding, H., Zhang, H., & Yuan, D. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3270318 · Cited by 11 · see citing works

Contributions of the 5G Network with Respect to Poverty (SDG1), Systematic Literature Review

Cabanillas-Carbonell, M., Martínez, J. E. P., & Zapata-Paulini, J. E. (2023) · Sustainability · doi:10.3390/su151411301 · Cited by 11 · see citing works

TSM: Temporal segmentation and modules-based computation offloading using predictive analytics and NR-V2X

Khattak, M. I., Yuan, H., Ahmad, A., Khan, A., Hawbani, A., & Inamullah (2023) · Internet of Things · doi:10.1016/j.iot.2023.100912 · Cited by 11 · see citing works

Towards 6G C-V2X Networks: A Comprehensive Survey on Mobility Management, Multi-RAT Coexistence, and Machine Learning (3M) Framework for C-ITS

Ali, M. A., Khan, S. A., ÇOLAK, S. A., Koşunalp, S., & Iliev, T. B. (2026) · Electronics · doi:10.3390/electronics15051042 · Cited by 10 · see citing works

Multi-Agent Reinforcement Learning for Efficient Resource Allocation in Internet of Vehicles

Wang, J., He, H., Cha, J., Jeong, I., & Ahn, C.-J. (2025) · Electronics · doi:10.3390/electronics14010192 · Cited by 10 · see citing works

Datasets in Vehicular Communication Systems: A Review of Current Trends and Future Prospects

Bari, B. S., Puthal, D., & Yelamarthi, K. (2025) · SN Computer Science · doi:10.1007/s42979-025-03736-5 · Cited by 10 · see citing works

Unraveling the Smart Charging Technologies, Energy Sources, and Regulatory Standards for EVs

Arooj, A., Ahmed, Q. Z., Farooq, S., Umer, T., Aslam, N., & Alade, T. T. (2025) · IEEE Access · doi:10.1109/access.2025.3579428 · Cited by 10 · see citing works

SVEA: an experimental testbed for evaluating V2X use-cases

Jiang, F. J., Al-Janabi, M., Bolin, T., Johansson, K. H., & Mårtensson, J. (2022) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc55140.2022.9922544 · Cited by 10 · see citing works

Analysis of outage performance in a 6G‐V2X communications system utilising free‐space optical quantum key distribution

Yuan, H., Fowler, D. S., Maple, C. R., & Epiphaniou, G. (2023) · IET Quantum Communication · doi:10.1049/qtc2.12067 · Cited by 10 · see citing works

Radio Resource Allocation Optimization for Delay-Sensitive Services Based on Graph Neural Networks and Offline Dataset

Jing, W., Wang, J., Ren, J., Lu, Z., Shao, H., & Wen, X. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3497603 · Cited by 9 · see citing works

From collaborative awareness to collaborative information enhancement in vehicular networks

Raviglione, F., Zocca, S., Minetto, A., Malinverno, M., Casetti, C., Chiasserini, C. F., & Dovis, F. (2022) · Vehicular Communications · doi:10.1016/j.vehcom.2022.100497 · Cited by 9 · see citing works

Blockchain-enabled solution for secure and scalable V2V video content dissemination

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