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WiFi Frequency Utilization Analysis by SpectrumMap Database

机译:通过SpectrumMap数据库分析WiFi频率利用率

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摘要

We have proposed a SpectrumMap database [1] to provide the public with the general knowledge of radio frequency usages in the downtown Tokyo. Several spectrum measurement campaigns using a simple radiometer have been conducted to provide understanding of primary signals' activities. This paper shows the spectrum occupancy of WiFi frequency band using this database. Different from other spectrum measurements, we perform WiFi spectrum data collections in a rich diversity of scenarios, including residences, bustling areas and business districts; and the measurement schedule is designed to meet human lifestyles, such as commuting, working or evening hours on weekdays and weekends. The WiFi spectrum occupancy is measured by the duty cycles, the threshold of which is estimated by a Gaussian distribution model for the WiFi band noise. The average and standard deviation are derived by a linear interpolation from those of the adjacent noise channels. Important observations obtained from this study are: (1) The average of the overall utilization of WiFi spectrum band is lower than 5.11%; (2) Two good non-overlapping channels (CHI, CH11) are found for spectrum reuse in city center environment by showing their superiorities in channel occupancy rates and availabilities; (3) The long idle time is observed frequently even for these active channels. The result is expected to highlight the effectiveness of this kind of grass-roots spectrum collections with simple radiometers for the analysis of potential spectrum sharing.
机译:我们已经提出了SpectrumMap数据库[1],以向公众提供东京市区的射频使用的常识。已经进行了几次使用简单辐射计的频谱测量活动,以了解基本信号的活动。本文显示了使用此数据库的WiFi频段的频谱占用率。与其他频谱测量不同,我们在各种各样的场景中执行WiFi频谱数据收集,包括住宅,繁华地区和商业区;测量时间表旨在满足人类的生活方式,例如在工作日和周末通勤,工作或傍晚。 WiFi频谱占用率是通过占空比测量的,其阈值是通过高斯分布模型估算的WiFi频带噪声。通过线性插值从相邻噪声通道的平均值和标准偏差中得出平均值和标准偏差。从这项研究中获得的重要观察结果是:(1)WiFi频谱带总体利用率的平均值低于5.11%; (2)通过展示其在信道占用率和可用性方面的优势,找到了两个良好的非重叠信道(CHI,CH11)以在城市中心环境中进行频谱复用; (3)即使对于这些活动通道,也经常观察到较长的空闲时间。预期结果将突出利用简单的辐射计对这种基层频谱集合进行潜在频谱共享分析的有效性。

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