CCF: Small: Sensing-Based Dynamic Spectrum Access Networks: Modeling, Algorithms, and Experimental Validation

CCF：小型：基于传感的动态频谱接入网络：建模、算法和实验验证

• 批准号: 1117365
• 负责人: J Nicholas Laneman
• 金额: $ 47.31万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117365&HistoricalAwards=false
• 关键词: CCF; Small; Sensing; Based; Dynamic

The FCC released its National Broadband Plan citing the exponentially growing demand for mobile data services and the critical need to better utilize the radio spectrum. Beyond retargeting certain frequency bands, the FCC is considering a paradigm shift of dynamic spectrum access (DSA) technology and policy. DSA allows 'secondary' radios to transmit in underutilized 'white space' provided they create minimal interference to 'primary' radios. Significant white space, as much as 85%, has been observed across time, frequency, and location. However, even in the TV bands, the challenge of inconspicuous utilization of white spaces has not yet been achieved by the two leading solutions, distributed spectrum sensing and centralized emitter databases.This project focuses on a comprehensive approach to DSA based upon spectrum sensing that combines the following in a feedback loop: novel modeling of primary and secondary transmissions; design of optimal spectrum sensing algorithms and secondary access protocols based upon these models; and experimental validation within a testbed of software-defined radios. Preliminary results develop primary Markov models and optimal sequence detection algorithms for spectrum sensing that build upon the well-known Viterbi and forward-backward algorithms and expose fundamental limitations due to primary mismatch for the commonly used energy detector. The connections to trellis- and graph-based algorithms from the channel coding community should introduce a sizable new toolbox to DSA researchers. Secondary access protocols that take advantage of Markov process models for the primary users similarly exhibit improved performance tradeoffs between primary interference and secondary throughput. Collaborators in industry and regulatory bodies will be kept informed of the research results with an aim toward impacting DSA technology and policy development at national and international levels.

FCC发布了其国家宽带计划，理由是对移动的数据服务的需求呈指数级增长，以及更好地利用无线电频谱的迫切需要。 除了重新定位某些频段之外，FCC正在考虑动态频谱接入（DSA）技术和政策的范式转变。 DSA允许“次级”无线电在未充分利用的“白色空间”中传输，只要它们对“初级”无线电产生最小的干扰。 显著的白色空间，高达85%，已被观察到跨越时间，频率和位置。 然而，即使在电视频段，白色空间的不显眼的利用的挑战还没有通过两个领先的解决方案，分布式频谱感测和集中式发射机databases.This项目集中在一个综合的方法DSA的基础上频谱感测，结合在一个反馈回路中的以下内容：新颖的建模的主要和次要的传输;基于这些模型设计最佳频谱感知算法和二次接入协议;以及在软件定义无线电的测试平台内进行实验验证。 初步结果开发的主要马尔可夫模型和最佳序列检测算法的频谱感知，建立在众所周知的维特比和前向-后向算法，并暴露基本的限制，由于主要的不匹配的常用的能量检测器。 与来自信道编码社区的基于网格和图的算法的连接应该为DSA研究人员引入一个相当大的新工具箱。 利用主要用户的马尔可夫过程模型的辅助接入协议同样表现出主要干扰和辅助吞吐量之间改进的性能权衡。 行业和监管机构的合作者将随时了解研究结果，旨在影响国家和国际层面的DSA技术和政策制定。