CRII: NeTS: Next Generation Spectrum Measurement Algorithms and Infrastructures

CRII：NeTS：下一代频谱测量算法和基础设施

基本信息

批准号：
1657476
负责人：
Mariya Zheleva
金额：
$ 17.5万
依托单位：
SUNY at Albany
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-02-15 至 2020-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1657476&HistoricalAwards=false
关键词：
CRII NeTS Next Generation Spectrum

项目摘要

The current paradigm of exclusive spectrum allocation is creating artificial scarcity of spectrum resources that has a dramatic impact on network performance and user experience. Underutilized bands provide an opportunity for more efficient, shared spectrum access that has recently brought together policymakers, industry leaders and academic researchers to set an agenda for next-generation spectrum management. A critical enabler of such advances is deep understanding of spectrum use. This award will support research seeking to impact the scientific community, the policy domain and the public, by providing methods and informing system designs for efficient spectrum measurement and characterization, and informing the design of future mobile wireless networks and spectrum policy. Products from this research will be included in the PI's undergraduate and graduate courses, demonstrating the positive policy and societal impact of computer science and promoting the discipline to diverse groups of students.The goal of this project is to employ fundamental knowledge in signal processing and propagation, machine learning, and large-scale measurement to devise fast and robust algorithms and inform spectrum measurement infrastructure design. Of main research interest, will be the tight-knit mutual dependence between algorithms and infrastructures. The project will achieve this goal in two research tasks: (i) design and development of spectrum measurement algorithms for adaptive spectrum sensing, spectrum data management and spectrum characterization; and (ii) evaluation of spectrum measurement infrastructures that will illuminate the impact of spectrum sensor properties on spectrum characterization quality and will inform the design of mixed sensor cost/mobility measurement infrastructures. This research will bridge the gap between algorithm design and infrastructures. It will introduce the first holistic framework for spectrum measurement and characterization to facilitate next generation spectrum management. The design of adaptive, data-driven algorithms will facilitate rapid and efficient spectrum measurement and characterization. Exploration of the cost and mobility trade-offs in spectrum sensing infrastructure will inform efficient end-to-end infrastructure design that minimizes cost while maximizing the learning outcomes of spectrum sensing.

当前的独家频谱分配范式是创造频谱资源的人为稀缺，对网络性能和用户体验产生巨大影响。未充分利用的乐队为更高效，更共享的频谱访问提供了机会，该频谱访问最近将政策制定者，行业领导者和学术研究人员汇总为下一代频谱管理的议程。这种进步的关键推动因素是对频谱使用的深刻理解。该奖项将通过提供方法并为系统设计提供有效的频谱测量和表征，并为未来的移动无线网络和频谱政策的设计提供信息，以支持试图影响科学界，政策领域和公众的研究。 Products from this research will be included in the PI's undergraduate and graduate courses, demonstrating the positive policy and societal impact of computer science and promoting the discipline to diverse groups of students.The goal of this project is to employ fundamental knowledge in signal processing and propagation, machine learning, and large-scale measurement to devise fast and robust algorithms and inform spectrum measurement infrastructure design.主要研究兴趣的是算法和基础设施之间的紧密联系。该项目将在两项研究任务中实现这一目标：（i）设计和开发适应性频谱感测，频谱数据管理和频谱表征的频谱测量算法；（ii）评估光谱测量基础架构，这些基础架构将阐明频谱传感器性能对光谱表征质量的影响，并将为混合传感器成本/移动性测量基础设施的设计提供信息。这项研究将弥合算法设计与基础设施之间的差距。它将引入第一个用于频谱测量和表征的整体框架，以促进下一代频谱管理。自适应，数据驱动算法的设计将促进快速有效的频谱测量和表征。探索频谱传感基础设施中的成本和移动性权衡，将为有效的端到端基础设施设计提供典范，该设计使成本最小化，同时最大程度地提高了光谱感知的学习成果。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing

DOI：
10.1109/infocom.2018.8485946
发表时间：
2018
期刊：
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
影响因子：
0
作者：
M. Zheleva;Petko Bogdanov;Timothy LaRock;Paul Schmitt
通讯作者：
M. Zheleva;Petko Bogdanov;Timothy LaRock;Paul Schmitt

Enabling a Nationwide Radio Frequency Inventory Using the Spectrum Observatory

使用频谱观测站启用全国范围的无线电频率清单

DOI：
10.1109/tmc.2017.2716936
发表时间：
2017
期刊：
IEEE Transactions on Mobile Computing
影响因子：
7.9
作者：
Zheleva, Zhivkova Mariya;Chandra, Ranveer;Chowdhery, Aakanksha;Garnett, Paul;Gupta, Anoop;Kapoor, Ashish;Valerio, Matt
通讯作者：
Valerio, Matt

Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features