Abstract
With the explosive increase of mobile data and users, data tsunami seriously challenges the mobile operators worldwide. The vehicular caching, which caches mobile data on widely distributed vehicles, is an efficient method to solve this problem. In this paper, we explore the impact of vehicular caching on cellular networks. Specifically, targeting on network performance in energy efficiency, we first formulate a fractional optimization model by considering the network throughput and energy consumption. We then apply nonlinear programming and Lyapunov technology to relax the nonlinear and nonconvex model. Based on analysis, we propose a novel online task decision algorithm. Based on this algorithm, vehicles determine to act either as servers or task schedulers for the requests of users. The burden of cellular MBS (Macro Base Station) then can be alleviated. Extensive simulations are finally conducted and results verify the effectiveness of our proposal.
This work was supported by the National Natural Science Foundation of China under Grant No. 61571350 and No. 61601344, Key Research and Development Program of Shaanxi (Contract No. 2017KW-004, 2017ZDXM-GY-022, and 2018ZDXM-GY-038), and the 111 Project (B08038).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, Y., Li, C., Luan, T.H., Fu, Y., Zhu, L. (2019). Caching on Vehicles: A Lyapunov Based Online Algorithm. In: Zheng, J., Xiang, W., Lorenz, P., Mao, S., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-030-05888-3_2
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