Comparative Study of Vehicular Proactive Caching Between Cellular and VLC Networks

Mohamed E. Gad, T. Ismail, Sameh Hosny, B. Mokhtar
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引用次数: 1

Abstract

The rapid growth of vehicle demand, such as information sharing, entertainment, and multimedia contents, overwhelms the back-haul network. Due to this nature of the network that suffers from high link disconnections and limited resources, it is challenging to develop a new strategy to satisfy users’ requirements. Proactive caching is a useful technique to mitigate the load on core networks, and determining the best caching placement of data time to enhance the network is a significant issue. However, radiofrequency is spreading and supporting multiple channels communication, and has a licensed bandwidth and low data rates. In this paper, a novel proactive caching scheme based on an optical communication system is proposed. We exploit the high data rate of visible light communication VLC in the vehicular networks to minimize total network cost. The optimal caching placement is determined by solving the optimization problem through a genetic algorithm according to vehicle demand profiles. Also, we present suitable analysis for caching effects in average blocking and data throughput. Compared with radio techniques, numerical results illustrate that the proposed solution has a significant caching gain, average user blocking, and network throughput at different conditions.
蜂窝网络与VLC网络车辆主动缓存的比较研究
信息共享、娱乐、多媒体内容等车载需求的快速增长,使回程网络不堪重负。由于网络的高链路断开性和有限的资源,开发一种新的策略来满足用户的需求是一个挑战。主动缓存是减轻核心网络负载的一种有用技术,确定数据时间的最佳缓存位置以增强网络是一个重要问题。然而,射频正在扩展并支持多通道通信,并且具有许可带宽和低数据速率。本文提出了一种新的基于光通信系统的主动缓存方案。我们利用可见光通信VLC在车载网络中的高数据速率,以最小化总网络成本。根据车辆需求曲线,通过遗传算法求解优化问题,确定最优缓存位置。此外,我们还对平均阻塞和数据吞吐量的缓存效果进行了适当的分析。数值结果表明,该方法在不同条件下具有显著的缓存增益、平均用户阻塞和网络吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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