Abstract
Each generation of communication technology has a subversion, 5G will have a greater bandwidth, high carrier frequency, extreme base station and device densities, especially in vehicular network. Mobility models play a pivotal role in vehicular network, especially for routing policy evaluation. Relying on big data technology, the big data aided vehicle mobility analysis and design gets a lot of attentions. In this paper, we commerce with introducing the data set, i.e., a big GPS data set in Beijing. Then, a novel vehicle and location collaborative mobility scheme is proposed relying the GPS data set. We evaluate its performance based on degree distribution, duration distribution and interval time distribution. Our works may help the mobility design in vehicular networks.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sun, R., Zhang, K., Ren, Y. (2018). Big Data-Driven Vehicle Mobility Analysis and Design for 5G. In: Long, K., Leung, V., Zhang, H., Feng, Z., Li, Y., Zhang, Z. (eds) 5G for Future Wireless Networks. 5GWN 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-72823-0_23
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DOI: https://doi.org/10.1007/978-3-319-72823-0_23
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