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Exploring Indoor White Spaces in Metropolises

机译:探索大都市的室内空白空间

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It is a promising vision to exploit white spaces, that is, vacant VHF and UHF TV channels, to meet the rapidly growing demand for wireless data services in both outdoor and indoor scenarios. While most prior works have focused on outdoor white space, the indoor story is largely open for investigation. Motivated by this observation and discovering that 70% of the spectrum demand comes from indoor environment, we carry out a comprehensive study to explore indoor white spaces. We first conduct a large-scale measurement study and compare outdoor and indoor TV spectrum occupancy at 30+ diverse locations in a typical metropolis-Hong Kong. Our results show that abundant white spaces are available in different areas in Hong Kong, which account for more than 50% and 70% of the entire TV spectrum in outdoor and indoor scenarios, respectively. Although there are substantially more white spaces indoors than outdoors, there have been very few solutions for identifying indoor white space. To fill in this gap, we develop the first data-driven, low-cost indoor white space identification system for White-space Indoor Spectrum EnhanceR (WISER), to allow secondary users to identify white spaces for communication without sensing the spectrum themselves. We design the architecture and algorithms to address the inherent challenges. We build a WISER prototype and carry out real-world experiments to evaluate its performance. Our results show that WISER can identify 30%-40% more indoor white spaces with negligible false alarms, as compared to alternative baseline approaches.
机译:利用空白空间(即空的VHF和UHF电视频道)来满足室外和室内场景对无线数据服务的快速增长的需求是一个有前途的愿景。尽管大多数先前的作品都集中在室外的空白空间,但室内故事在很大程度上是可以接受调查的。出于这种观察的动机,发现70%的频谱需求来自室内环境,我们进行了全面的研究以探索室内空白空间。我们首先进行大规模测量研究,并比较典型城市(香港)中30多个不同位置的室外和室内电视频谱占用情况。我们的结果表明,香港不同地区都有足够的白色空间,分别占室外和室内场景中整个电视频谱的50%和70%以上。尽管室内的空白空间比室外的空白空间多得多,但用于识别室内空白空间的解决方案却很少。为了填补这一空白,我们开发了第一个用于空白空间室内频谱增强器(WISER)的数据驱动的低成本室内空白空间识别系统,以使次要用户能够识别空白空间进行通信而无需自己感知频谱。我们设计架构和算法来解决固有挑战。我们构建了WISER原型,并进行了实际实验来评估其性能。我们的结果表明,与替代基线方法相比,WISER可以将误报忽略率降低的室内空白空间多出30%-40%。

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