WiFi access point deployment for efficient mobile data offloading

E. Bulut, B. Szymanski
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引用次数: 34

Abstract

Recently, there has been a tremendous increase in mobile data usage with the wide-spread proliferation of smartphone like devices. However, this increased demand from users has caused severe traffic overloading in cellular networks. Offloading the traffic through several other devices (femtocells, WiFi access points) have been considered to be immediate remedy for such a problem. Thus, in this paper, we study the deployment of WiFi access points (AP) in a metropolitan area for efficient offloading of mobile data traffic. We analyze a large scale real user mobility traces and propose a deployment algorithm based on the density of user data request frequency. In simulations, we present offloading ratio that our algorithm can accomplish with different number of APs. The results demonstrate that our algorithm can achieve close to optimal offloading ratio that is higher than offloading ratios that existing algorithms can achieve with the same number of APs.
WiFi接入点部署,实现高效的移动数据卸载
最近,随着智能手机等设备的广泛普及,移动数据使用量大幅增加。然而,用户需求的增加导致了蜂窝网络中严重的流量过载。通过几个其他设备(飞蜂窝、WiFi接入点)卸载流量被认为是解决这一问题的直接办法。因此,在本文中,我们研究了在城域部署WiFi接入点(AP)以有效卸载移动数据流量。通过对大规模真实用户迁移轨迹的分析,提出了一种基于用户数据请求频率密度的部署算法。在仿真中,我们给出了算法在不同ap数量下所能达到的卸载率。结果表明,在相同ap数量的情况下,我们的算法可以达到接近最优的卸载率,高于现有算法所能达到的卸载率。
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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