A measurement study of white spaces across diverse population densities

Pengfei Cui, Hui Liu, D. Rajan, J. Camp
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引用次数: 9

Abstract

While many metropolitan areas sought to deploy city-wide WiFi networks, the densest urban areas were not able to broadly leverage the technology for large-scale Internet access. Ultimately, the small spatial separation required for effective 802.11 links in these areas resulted in prohibitively large up-front costs. The FCC has reapportioned spectrum from TV white spaces for the purposes of large-scale Internet connectivity via wireless topologies of all kinds. The far greater range of these lower carrier frequencies are especially critical in rural areas, where high levels of aggregation could dramatically lower the cost of deployment and is in direct contrast to dense urban areas in which networks are built to maximize spatial reuse. Thus, leveraging a broad range of spectrum across diverse population densities becomes a critical issue for the deployment of data networks with WiFi and white space bands. In this paper, we measure the spectrum utility in the Dallas-Fort Worth metropolitan and surrounding areas and propose a measurement-driven band selection framework, Multiband Access Point Estimation (MAPE). In particular, we study the white space and WiFi bands with in-field spectrum utility measurements, revealing the number of access points required for an area with channels in multiple bands. In doing so, we find that networks with white space bands reduce the number of access points by up to 1650% in sparse rural areas over similar WiFi-only solutions. In more populated rural areas and sparse urban areas, we find an access point reduction of 660% and 412%, respectively. However, due to the heavy use of white space bands in dense urban areas, the cost reductions invert (an increase in required access points of 6%). Finally, we numerically analyze band combinations in typical rural and urban areas and show the critical factor that leads to cost reduction: considering the same total number of channels, as more channels are available in the white space bands, less access points are required for a given area.
不同人口密度的白色空间测量研究
虽然许多大都市都试图在全市范围内部署WiFi网络,但人口最密集的城市地区却无法广泛利用这项技术实现大规模互联网接入。最终,这些区域中有效的802.11链路所需的小空间间隔导致了过高的前期成本。美国联邦通信委员会(FCC)重新分配了电视空白频段的频谱,目的是通过各种无线拓扑结构实现大规模的互联网连接。这些低载波频率的更大范围在农村地区尤其重要,在农村地区,高水平的聚合可以大大降低部署成本,与密集的城市地区形成鲜明对比,在城市地区建立网络是为了最大限度地利用空间。因此,利用不同人口密度的广泛频谱成为部署WiFi和白色空间频段数据网络的关键问题。在本文中,我们测量了达拉斯-沃斯堡大都会及其周边地区的频谱利用率,并提出了一种测量驱动的频带选择框架——多频带接入点估计(MAPE)。特别是,我们通过现场频谱效用测量研究了空白频段和WiFi频段,揭示了具有多个频段信道的区域所需的接入点数量。在这样做的过程中,我们发现,在稀疏的农村地区,与类似的纯wifi解决方案相比,带有空白频段的网络将接入点的数量减少了1650%。在人口较多的农村地区和人口稀少的城市地区,我们发现接入点分别减少了660%和412%。然而,由于在人口密集的城市地区大量使用白色空间频段,成本的降低反过来了(所需接入点增加了6%)。最后,我们对典型农村和城市地区的频带组合进行了数值分析,并显示了导致成本降低的关键因素:考虑到相同的信道总数,随着白色空间频带中可用信道的增加,给定区域所需的接入点也会减少。
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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