Research Article
Key Technologies of MEC Towards 5G-Enabled Vehicular Networks
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@INPROCEEDINGS{10.1007/978-3-319-78078-8_16, author={Xiaoting Ma and Junhui Zhao and Yi Gong and Yijie Wang}, title={Key Technologies of MEC Towards 5G-Enabled Vehicular Networks}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Systems. 13th International Conference, QShine 2017, Dalian, China, December 16 -17, 2017, Proceedings}, proceedings_a={QSHINE}, year={2018}, month={4}, keywords={5G vehicular networks MEC MVC-aided communication Clustering Network performance}, doi={10.1007/978-3-319-78078-8_16} }- Xiaoting Ma
Junhui Zhao
Yi Gong
Yijie Wang
Year: 2018
Key Technologies of MEC Towards 5G-Enabled Vehicular Networks
QSHINE
Springer
DOI: 10.1007/978-3-319-78078-8_16
Abstract
Mobile edge computing (MEC) can satisfy the communication requirements of ultra-high reliability and ultra-low latency in 5G-enabled vehicular networks, since it provides Internet service environment and cloud computing capability for wireless access network. In this paper, the architecture and characteristics of MEC for unmanned driving are explored. Meanwhile, the key technologies of MEC are discussed. With the assist of clustering, we propose the scheme of mobile vehicle cloud (MVC)-aided communication, and examine the network performance including computing resource allocation by MEC and link performance. The numerical results show that the network performance is improved effectively.
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