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以指数增长的移动数据服务需求以及更好地利用无线电频谱的迫切需求，发布了其国家宽带计划。 除了重新定位某些频带外，FCC还考虑了动态频谱访问（DSA）技术和政策的范式转移。 DSA允许“次级”收音机以未充分利用的“白空间”传输，只要它们对“主要”收音机产生最小的干扰。 在时间，频率和位置上观察到了大量的白空间，多达85％。 但是，即使在电视乐队中，两种领先的解决方案，分布式频谱感应和集中的发射机数据库尚未实现对白色空间的不明显利用的挑战。该项目侧重于基于DSA的综合方法，基于光谱感知，在反馈循环中结合了以下几种反馈循环：新颖的原始和二级跨度跨度跨度跨度的模型;基于这些模型的最佳光谱传感算法和辅助访问协议的设计；和在软件定义的无线电测试床中进行实验验证。 初步结果开发了主要的Markov模型和用于频谱传感的最佳序列检测算法，该算法是建立在众所周知的Viterbi和前向后算法上的，并且由于常用能量探测器的主要不匹配而导致的基本局限性。 来自频道编码社区的基于格子和图的算法的连接应向DSA研究人员引入相当大的新工具箱。 利用马尔可夫进程模型的次要访问协议类似地在主要干扰和次要吞吐量之间表现出改进的性能权衡。 行业和监管机构的合作者将被告知研究结果，旨在影响国家和国际层面的DSA技术和政策制定。