[1] |
陈山枝, 时岩, 胡金玲 . 蜂窝车联网(C-V2X)综述[J]. 中国科学基金, 2020,34(2): 179-185.
|
|
CHEN S Z , SHI Y , HU J L . Cellular vehicle to everything (C-V2X):a review[J]. Bulletin of National Natural Science Foundation of China, 2020,34(2): 179-185.
|
[2] |
葛雨明 . 我国LTE-V2X标准化及测试验证进展[J]. 移动通信, 2019,43(11): 36-39.
|
|
GE Y M . Progress on LTE-V2X standardization and testing in China[J]. Mobile Communications, 2019,43(11): 36-39.
|
[3] |
杨波, 张莹, 蔡之骏 ,等. 基于LTE-V的车载V2X系统研究[J]. 移动通信, 2019,43(11): 75-80.
|
|
YANG B , ZHANG Y , CAI Z J ,et al. Research on the vehicle V2X system based on LTE-V[J]. Mobile Communications, 2019,43(11): 75-80.
|
[4] |
刘继军, 邹山花, 卢先领 . MEC 中资源分配与卸载决策联合优化策略[J]. 计算机科学与探索, 2021,15(5): 848-858.
|
|
LIU J J , ZOU S H , LU X L . Joint optimization strategy of resource allocation and unloading decision in MEC[J]. Computer Science and Exploration, 2021,15(5): 848-858.
|
[5] |
余翔, 陈晓东, 王政 ,等. 基于 LTE-V2X 的联网资源分配算法[J]. 计算机工程, 2021,47(2): 188-192.
|
|
YU X , CHEN X D , WANG Z ,et al. Network resource allocation algorithm based on LTE-V2X[J]. Computer Engineering, 2021,47(2): 188-192.
|
[6] |
NGUYEN L H , NGUYEN V L , KUO J J . Efficient reinforcement learning-based transmission control for mitigating channel congestion in 5G V2X sidelink[J]. IEEE Access, 2022,10: 62268-62281.
|
[7] |
陆岩 . C-V2X 通信分布式无线资源调度关键技术研究[D]. 上海:东华大学, 2022.
|
|
LU Y . Research on key technologies of distributed radio resource scheduling in C-V2X communication[D]. Shanghai:Donghua University, 2022.
|
[8] |
杨天, 杨军 . 移动边缘计算中的卸载决策与资源分配策略[J]. 计算机工程, 2021,47(2): 19-25.
|
|
YANG T , YANG J . Unloading decision and resource allocation strategy in moving edge computing[J]. Computer Engineering, 2021,47(2): 19-25.
|
[9] |
HAMZAH H , LE D T , KIM M ,et al. Location-aware task offloading for MEC-based high mobility service[C]// Proceedings of 2021 International Conference on Information Networking. Piscataway:IEEE Press, 2021: 708-711.
|
[10] |
CHEN H M , WANG S F , WANG P ,et al. Deep Q-learning for intelligent band coordination in 5G heterogeneous network supporting V2X communication[J]. Wireless Communications and Mobile Computing, 2022: 1-12.
|
[11] |
张兴龙, 陆阳, 李文璋 ,等. 基于滚动时域强化学习的智能车辆侧向控制算法[J]. 自动化学报, 2022,45: 1-12.
|
|
ZHANG X L , LU Y , LI W Z ,et al. Lateral control algorithm for intelligent vehicles based on rolling time domain reinforcement learning[J]. Acta Automatica Sinica, 2022,45: 1-12.
|
[12] |
裴晓飞, 莫烁杰, 陈祯福 ,等. 基于TD3算法的人机混驾交通环境自动驾驶汽车换道研究[J]. 中国公路学报, 2021,34(11): 246-254.
|
|
PEI X F , MO S J , CHEN Z F ,et al. Lane changing of autonomous vehicle based on TD3 algorithm in human-machine hybrid driving environment[J]. China Journal of Highway and Transport, 2021,34(11): 246-254.
|
[13] |
田康, 于镝, 李擎 ,等. 基于改进TD3的自动驾驶车道保持决策方法[J]. 北京交通大学学报, 2022,46(5): 84-94.
|
|
TIAN K , YU D , LI Q ,et al. Lane keeping decision-making method of autonomous vehicles based on improved TD3[J]. Journal of Beijing Jiaotong University, 2022,46(5): 84-94.
|
[14] |
罗薇, 汪梦珍, 许玲 . 车联网高层协议关键技术[J]. 中兴通讯技术, 2020,26(1): 35-39.
|
|
LUO W , WANG M Z , XU L . Main technologies adopted in high layer protocol for Internet of vehicles[J]. ZTE Technology Journal, 2020,26(1): 35-39.
|
[15] |
SANSANUM H . Technology and device for autonomous resource selection for internet of vehicles (V2X) transmission[P]. 2020.
|
[16] |
3GPP. Evolved universal terrestrial radio access (E-UTRA) and evolved universal terrestrial radio access network (E-UTRAN); overall description:TS 36.300[S]. 2018: 289-302.
|
[17] |
3GPP. Evolved universal terrestrial radio access (E-UTRA); physical layer procedures:TS 36.213[S]. 2018: 422-447.
|
[18] |
刘伯阳, 马杰, 白静 ,等. 基于MDP的协作认知边缘计算网络资源分配方案[J]. 西安邮电大学学报, 2022,27(1): 23-28.
|
|
LIU B Y , MA J , BAI J ,et al. MDP based resource allocation scheme for cooperative cognitive mobile edge computing networks[J]. Journal of Xi’an University of Posts and Telecommunications, 2022,27(1): 23-28.
|
[19] |
3GPP. Study on LTE-based V2X services:TR 36.885[S]. 2016: 60-72.
|