EARS: Spectrum Efficiency Analysis using Multisite Spectrum Observatory Network

在商业和政府用户领域内，对无线宽带应用的增加的RF频谱接入的需求继续存在。由于可用的RF频谱被完全分配，因此可用的唯一选项是：a）提高当前频谱使用的效率; B）将频谱重新用于更高价值的用途;或c）建立频谱共享。虽然FCC拥有授权许可频谱用户的数据库，但任何这些选项的最终成功都取决于对时间，频率和空间的实际RF频谱利用率的了解。虽然对射频使用情况进行了快速调查，并在单个地点对射频使用情况进行了长期观察，但尚未充分探讨纳入空间维度以提高这些估计的准确性和模拟中等规模地理差异的影响。考虑到需要获得具有足够高保真度的RF环境的时间和空间变化的映射和模型以估计、表征和建模频谱利用，所得到的研究目标是：1）创建足够低成本和可扩展的方法来生成和访问必要的高质量RF数据集; 2）为分析、建模和可视化所得到的大型多维信息库提供新的方法;和3）建立频谱活动模型，测试候选频段频谱共享的可行性，以促进频谱决策和创新重新利用和分享。

The need for increased RF spectrum access for wireless broadband applications continues within the commercial and government user domains. Since the usable RF spectrum is fully allocated, the only options available are to: a) increase the efficiency of current spectrum uses; b) re-purpose spectrum to higher value uses; or c) institute spectrum sharing. While the FCC has a database of authorized, licensed spectrum users, the ultimate success of any of these options depends on knowledge of actual RF spectrum utilization in time, frequency, and space. While snap-shot surveys of RF utilization have been performed, and long-term observations of RF use have been made at single locations, the impact of incorporating the spatial dimension to both improve the accuracy of these estimates and model medium-scale geographic variations has not been fully explored. Given the need to obtain mappings and models of the temporal and spatial variations of the RF environment with sufficiently high fidelity to estimate, characterize, and model spectrum utilization, the resulting research objectives are: 1) create a sufficiently low-cost and scalable approach to generating and accessing the necessary high quality RF dataset; 2) provide new methods for analyzing, modeling, and visualizing the resulting large, multi-dimensional information base; and 3) model spectrum activity to test the feasibility of spectrum sharing in candidate bands in order to facilitate decision making and innovation in spectrum repurposing and sharing.