Vehicular_Edge_Computing

This project gathers academic resources related to vehicular edge computing (VEC), and we welcome issue submissions.

Table of Contents

• Vehicular_Edge_Computing
• Table of Contents
  • White paper
  • Awesome resources
  • IoV policy
  • Survey
  • Task offloading and resource allocation
  • Physical technology
  • NOMA
  • Application
  • Chinese
  • Background
  • Cooperative perception
  • Cooperative perception task offloading
  • Cooperative pose optimization
  • Group
  • Other collections

White paper

• 边缘内生智能白皮书(2024)

Awesome resources

• Awesome edge computing | | |

IoV policy

• Report_and_white_paper

Survey

• T. Gong, L. Zhu, F. R. Yu and T. Tang, "Edge Intelligence in Intelligent Transportation Systems: A Survey," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 8919-8944, Sept. 2023, doi: 10.1109/TITS.2023.3275741. [paper]
• Y. Chiang et al., "Management and Orchestration of Edge Computing for IoT: A Comprehensive Survey," in IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14307-14331, 15 Aug.15, 2023, doi: 10.1109/JIOT.2023.3245611. [paper]
• Behravan, K., Farzaneh, N., Jahanshahi, M., & Seno, S. A. H. (2023). A Comprehensive Survey on Using Fog Computing in Vehicular Networks. Vehicular Communications, 100604. [paper]
• D. Katare, D. Perino, J. Nurmi, M. Warnier, M. Janssen and A. Y. Ding, "A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services," in IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2023.3302474. [paper]
• Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, and Junwei Cao. 2023. Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Comput. Surv. 55, 9, Article 184 (September 2023), 35 pages. https://doi.org/10.1145/3555802. [paper]
• Rodolfo Meneguette, Robson De Grande, Jo Ueyama, Geraldo P. Rocha Filho, and Edmundo Madeira. 2021. Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges. ACM Comput. Surv. 55, 1, Article 4 (January 2023), 46 pages. https://doi.org/10.1145/3485129 [paper]
• E. Karimi, Y. Chen and B. Akbari, "Intelligent and Decentralized Resource Allocation in Vehicular Edge Computing Networks," in IEEE Internet of Things Magazine, vol. 6, no. 4, pp. 112-117, December 2023, doi: 10.1109/IOTM.001.2200268.[paper]
• G. Yan, K. Liu, C. Liu and J. Zhang, "Edge Intelligence for Internet of Vehicles: A Survey," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2024.3378509. [paper]
• Fatemeh Golpayegani, Nanxi Chen, Nima Afraz, Eric Gyamfi, Abdollah Malekjafarian, Dominik Schäfer, and Christian Krupitzer. 2024. Adaptation in Edge Computing: A review on design principles and research challenges. ACM Trans. Auton. Adapt. Syst. Just Accepted (May 2024). [paper]
• 雷凯茹,余冰雁. 面向车联网的MEC跨域协同技术研究[J]. 信息通信技术与政策,2024,50(3):18-26. DOI:10.12267/j.issn.2096-5931.2024.03.003. [paper]

Task offloading and resource allocation

• Y. Ju et al., "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 5, pp. 5555-5569, May 2023, doi: 10.1109/TITS.2023.3242997. [paper]
• W. Fan et al., "Joint Task Offloading and Resource Allocation for Vehicular Edge Computing Based on V2I and V2V Modes," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 4, pp. 4277-4292, April 2023, doi: 10.1109/TITS.2022.3230430. [paper]
• Z. Nan, S. Zhou, Y. Jia and Z. Niu, "Joint Task Offloading and Resource Allocation for Vehicular Edge Computing With Result Feedback Delay," in IEEE Transactions on Wireless Communications, vol. 22, no. 10, pp. 6547-6561, Oct. 2023, doi: 10.1109/TWC.2023.3244391. [paper]
• C. Tang, G. Yan, H. Wu and C. Zhu, "Computation Offloading and Resource Allocation in Failure-Aware Vehicular Edge Computing," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3342017.[paper]
• X. Ye, K. Qu, W. Zhuang and X. Shen, "Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2023.3343709.[paper]
• X. Fan, W. Gu, C. Long, C. Gu and S. He, "Optimizing Task Offloading and Resource Allocation in Vehicular Edge Computing Based on Heterogeneous Cellular Networks," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3345364. [paper]
• J. Zhang, Y. Wu, G. Min and K. Li, "Neural Network-Based Game Theory for Scalable Offloading in Vehicular Edge Computing: A Transfer Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3348074. [paper]
• W. Fan, Y. Zhang, G. Zhou and Y. Liu, "Deep Reinforcement Learning-Based Task Offloading for Vehicular Edge Computing With Flexible RSU-RSU Cooperation," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3349546. [paper]
• Z. Lin, X. Chen, X. He, D. Tian, Q. Zhang and P. Chen, "Energy-Efficient Cooperative Task Offloading in NOMA-Enabled Vehicular Fog Computing," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3349006. [paper]
• L. Yin, J. Luo, C. Qiu, C. Wang and Y. Qiao, "Joint Task Offloading and Resources Allocation for Hybrid Vehicle Edge Computing Systems," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3351635. [paper]
• H. Zhang, H. Liang, X. Hong, Y. Yao, B. Lin and D. Zhao, "DRL-Based Resource Allocation Game With Influence of Review Information for Vehicular Edge Computing Systems," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3367657. [paper]
• Li, Zhenyu, Yuchuan Fu, Mengqiu Tian, and Changle Li. "Cooperative Sensing, Communication and Computation Resource Allocation in Mobile Edge Computing-Enabled Vehicular Networks." Journal of Information and Intelligence (2024).[paper]
• M. Huang, Z. Shen and G. Zhang, "Joint Spectrum Sharing and V2V/V2I Task Offloading for Vehicular Edge Computing Networks Based on Coalition Formation Game," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3371096. [paper]
• C. Xu, G. Wang, M. Wei, P. Zhang and B. Peng, "Intelligent Transportation Vehicle Road Collaboration and Task Scheduling Based on Deep Learning in Augmented Internet of Things," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3393940. [paper]
• G. Ma et al., "Joint Partial Offloading and Resource Allocation for Vehicular Federated Learning Tasks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3393529. [paper]
• X. Wang et al., "Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3408157. [paper]

Physical technology

• V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, "A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791. [paper],[code]

NOMA

• Z. Wang, Y. Liu, X. Mu, Z. Ding and O. A. Dobre, "NOMA Empowered Integrated Sensing and Communication," in IEEE Communications Letters, vol. 26, no. 3, pp. 677-681, March 2022, doi: 10.1109/LCOMM.2022.3140271. [paper],[code],people:[Zhaolin Wang],[github]
• Z. Wang, X. Mu, Y. Liu, X. Xu and P. Zhang, "NOMA-Aided Joint Communication, Sensing, and Multi-Tier Computing Systems," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 3, pp. 574-588, March 2023, doi: 10.1109/JSAC.2022.3229447. [paper],[code]
• Y. Mao, B. Clerckx and V. O. K. Li, "Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA," EURASIP Journal on Wireless Communications and Networking 2018.1 (2018): 133. [paper],[code],people:[Yijie (Lina) Mao]
• QIN, Langtian (2023). Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.22679962.v1 [paper],[code],people:[Langtian Qin],[github]
• Z. Ding, D. Xu, R. Schober and H. V. Poor, "Hybrid NOMA Offloading in Multi-User MEC Networks," in IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5377-5391, July 2022, doi: 10.1109/TWC.2021.3139932. [paper],[code],people:[Zhiguo Ding]
• V. Kumar, M. F. Hanif, M. Juntti and L. -N. Tran, "A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," in IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 12332-12337, Sept. 2023, doi: 10.1109/TVT.2023.3263791. [paper],[code],[vkumar-ucd]
• Xu, X., Liu, K., Dai, P., Jin, F., Ren, H., Zhan, C., & Guo, S. (2023). Joint task offloading and resource optimization in noma-based vehicular edge computing: A game-theoretic drl approach. Journal of Systems Architecture, 134, 102780. [paper],[code]
• H. Zhu, Q. Wu, X. -J. Wu, Q. Fan, P. Fan and J. Wang, "Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning," in IEEE Internet of Things Journal, vol. 9, no. 14, pp. 12770-12782, 15 July15, 2022, doi: 10.1109/JIOT.2021.3138434. [paper],[code]
• L. P. Qian, X. Dong, M. Wu, Y. Wu and L. Zhao, "Long-Term Energy Consumption Minimization in NOMA-Enabled Vehicular Edge Computing Networks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3404991. [paper]

Application

• G. Luo et al., "EdgeCooper: Network-Aware Cooperative LiDAR Perception for Enhanced Vehicular Awareness," in IEEE Journal on Selected Areas in Communications, doi: 10.1109/JSAC.2023.3322764. [paper]

Chinese

• 郭欣宇. 基于深度学习的智能网联汽车的感知与通信相关技术研究[D]. 吉林:吉林大学,2023. [paper]
• 杨春. 基于深度强化学习策略的车载计算任务卸载方法研究[D]. 天津:天津理工大学,2023. [paper]
• 任琦琦. 车联网环境中计算卸载方案研究[D]. 陕西:西安电子科技大学,2022. [paper]
• 许世琳. 车联网中基于深度强化学习的计算任务卸载策略研究[D].北京邮电大学,2022.DOI:10.26969/d.cnki.gbydu.2021.000141. [paper]
• 郭欣宇. 基于深度学习的智能网联汽车的感知与通信相关技术研究[D]. 吉林:吉林大学,2023. [paper]
• 王妍聪. 边缘计算与车联网融合的应用技术和算法研究[D]. 吉林:吉林大学,2023. [paper]
• 宋坤,黄超平,黄兴伟,等. 基于5G边缘计算的高可靠车路协同组网技术研究与实践[J]. 移动通信, 2023,47(12): 2-8. [paper]

Background

• 陈山枝. 蜂窝车联网(C-V2X)及其赋能智能网联汽车发展的辩思与建议[J]. 电信科学,2022,38(7):1-17. DOI:10.11959/j.issn.1000−0801.2022154. [paper]
• 陈山枝,葛雨明,时岩. 蜂窝车联网(C-V2X)技术发展、应用及展望[J]. 电信科学,2022,38(1):1-12. DOI:10.11959/j.issn.1000−0801.2022007.[paper]

Cooperative perception

• K. Qu and W. Zhuang, "Scalable and Dynamic Cooperative Perception: A Data/Model Co-Driven Framework," in IEEE Network, doi: 10.1109/MNET.2024.3354209. [paper],[code]

• Dakic, Anja, Benjamin Rainer, Peter Priller, Guo Nan, Anamarija Momic, Xiaochun Ye, and Thomas Zemen. "Wireless V2X Communication Testbed for Connected, Cooperative and Automated Mobility." [paper] [code]

• People: [Thomas Zemen]

Cooperative perception task offloading

• Z. Xiao, J. Shu, H. Jiang, G. Min, H. Chen and Z. Han, "Perception Task Offloading With Collaborative Computation for Autonomous Driving," in IEEE Journal on Selected Areas in Communications, vol. 41, no. 2, pp. 457-473, Feb. 2023, doi: 10.1109/JSAC.2022.3227027. [paper]

• Z. Xiao, J. Shu, H. Jiang, G. Min, J. Liang and A. Iyengar, "Toward Collaborative Occlusion-free Perception in Connected Autonomous Vehicles," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2023.3298643. [paper]

• H. Yang, Z. Wei, Z. Feng, X. Chen, Y. Li and P. Zhang, "Intelligent Computation Offloading for MEC-Based Cooperative Vehicle Infrastructure System: A Deep Reinforcement Learning Approach," in IEEE Transactions on Vehicular Technology, vol. 71, no. 7, pp. 7665-7679, July 2022, doi: 10.1109/TVT.2022.3171817. [paper]

• Z. Xiao, J. Shu, H. Jiang, G. Min, H. Chen and Z. Han, "Overcoming Occlusions: Perception Task-Oriented Information Sharing in Connected and Autonomous Vehicles," in IEEE Network, vol. 37, no. 4, pp. 224-229, July/August 2023, doi: 10.1109/MNET.018.2300125. [paper]

• . -J. Ku, S. Baidya and S. Dey, "Uncertainty-Aware Task Offloading for Multi-Vehicle Perception Fusion Over Vehicular Edge Computing," in IEEE Transactions on Vehicular Technology, vol. 72, no. 11, pp. 14906-14923, Nov. 2023, doi: 10.1109/TVT.2023.3284369. [paper]

• Zaki, Amr M., Sara A. Elsayed, Khalid Elgazzar, and Hossam S. Hassanein. "Quality-Aware Task Offloading for Cooperative Perception in Vehicular Edge Computing." arXiv preprint arXiv:2405.20587 (2024). [paper]

• related work

• P. Lv et al., "Edge Computing Task Offloading for Environmental Perception of Autonomous Vehicles in 6G Networks," in IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, pp. 1228-1245, 1 May-June 2023, doi: 10.1109/TNSE.2022.3211193. [paper]

• L. Liu, M. Zhao, M. Yu, M. A. Jan, D. Lan and A. Taherkordi, "Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 2, pp. 2169-2182, Feb. 2023, doi: 10.1109/TITS.2022.3142566. [paper]

Cooperative pose optimization

• 毛瑞清,贾宇宽,孙宇璇,等. 定位与通信受限的网联协同感知算法[J]. 模式识别与人工智能,2023,36(11):1019-1028. DOI:10.16451/j.cnki.issn1003-6059.202311005. [paper]
• 孙宁. 基于多源信息融合的智能汽车环境感知技术研究[D]. 江苏:江苏大学,2018.[paper]
• 王法安. 面向城市场景的智能网联汽车协同定位关键技术研究[D]. 江苏:东南大学,2022. [paper]
• 程超轶. 基于车-车信息动态交互的智能车辆协同定位方法研究[D]. 陕西:长安大学,2021. [paper]
• P. Yang, D. Duan, C. Chen, X. Cheng and L. Yang, "Multi-Sensor Multi-Vehicle (MSMV) Localization and Mobility Tracking for Autonomous Driving," in IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 14355-14364, Dec. 2020, doi: 10.1109/TVT.2020.3031900.[paper]

Group

People	Web	Affiliation	Github
Arvind Easwaran	Cyber-Physical Systems (CPS) Research Group	Nanyang Technological University	Link
Rajkumar Buyya	The Cloud Computing and Distributed Systems (CLOUDS) Laboratory	University of Melbourne	Link
Zhiwei Zhao	MobiNetS (Mobile, Networked and Smart Computing)	University of Electronic Science and Technology of China	Link
Qiong Wu	-	Jiangnan University	Link
Weisong Shi	THE CAR LAB	University of Delaware	-
Sidi Lu	-	William & Mary	Link
Zhaolong Ning	-	Chongqing University of Posts and Telecommunications	-
Xincao Xu	-	University of Electronic Science and Technology of China	Link
Muhammad Ayzed Mirza	-	Beijing University of Posts & Telecommunications	-
Keqin Li	-	HUNAN University	-

Other collections

paper with code in edge computing | | |