Characterizing spectrum goodness for dynamic spectrum access
Characterizing spectrum goodness for dynamic spectrum access
复制标题
表征动态频谱访问的频谱优度
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Paul Mitchell
中科院分区：
文献类型：
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作者：
Aakanksha Chowdhery;Ranveer Chandra;Paul Garnett;Paul Mitchell
独家使用频谱许可和对语音、数据和视频应用日益增长的需求相结合，导致了人为的频谱稀缺。缓解这种人为频谱稀缺的最近方法通过动态频谱接入（DSA）技术创新地使用未使用的TV频谱，也称为TV白色空间。无线设备可以使用诸如感测和地理位置数据库之类的DSA技术来了解用于无线通信的可用TV频道。一个显而易见的问题是，白色空间联网的技术推动者，即动态频谱接入，在频谱的其他部分是否可行？本文将我们在过去七年中对电视白色空间中的网络设备的研究扩展到30 MHz和6 GHz之间的其他许可频谱频段。通常，使用频谱占用作为良好性度量来测量许可频谱带的良好性，但是不同频带中的DSA机会可以取决于若干因素。我们提出了一种新的DSA善良的度量比较的机会，利用可用的频谱使用DSA技术在各种授权频段。此外，我们使用这些指标来评估微软研究院一年多来正在进行的频谱测量活动的数据。
The combination of exclusive use spectrum licensing and growing demand for voice, data, and video applications is leading to artificial spectrum scarcity. A recent approach to alleviate this artificial spectrum scarcity innovatively uses unused TV spectrum, also called the TV white spaces, through dynamic spectrum access (DSA) techniques. Wireless devices can use DSA techniques such as sensing and geo-location databases to learn about available TV channels for wireless communication. One obvious question to ask is whether the technology enabler for white space networking, i.e. dynamic spectrum access, is viable in other portions of the spectrum? This paper extends our research on networking devices in TV white spaces over the last seven years to other licensed spectrum bands between 30 MHz and 6 GHz. Typically, the goodness of licensed spectrum bands is measured using spectrum occupancy as a goodness metric, but the DSA opportunities in different bands can depend on several factors. We propose a novel DSA goodness metric to compare the opportunity of capitalizing on available spectrum using DSA techniques in various licensed bands. Further, we use these metrics to evaluate the data from the ongoing spectrum measurement campaign at Microsoft Research over one year.