NeTS: Small: Beyond Listen-Before-Talk: Advanced Cognitive Radio Access Control in Distributed Multiuser Networks

NeTS：小型：超越先听后说：分布式多用户网络中的高级认知无线电访问控制

• 批准号: 0917251
• 负责人: Xin Liu
• 金额: $ 49.82万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917251&HistoricalAwards=false
• 关键词: NeTS; Small; Beyond; Listen; Before

The award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Cognitive radio (CR) has the potential to improve spectrum utilization and expand wireless communication services by opportunistically utilizing underutilized spectrum bands. This project designs advanced cognitive radio access and power control algorithms that can achieve better spectrum efficiency while limiting interference to primary communications. Moving beyond the more traditional access strategies that rely only on secondary user (SU) spectral sensing to avoid collision with primary users (PUs), this research exploits various levels of primary network?s data link control (DLC) signaling and feedback information. Such DLC information is available in many practical wireless systems, such as transmission profile, receiver ACK/NACK, channel quality indicator, and power control information. Utilizing such information elevates the level of SU cognition. It provides more efficient spectrum sharing, better PU protection (especially in the presence of multiple distributed SUs), and multiple levels of SU and PU interaction. The major outcomes include: 1) Distributed multi-SU cognitive access and power control based on PU receiver feedback information; 2) Optimal algorithms for distributed multi-SU access control in multi-channel cognitive environments; 3) Cognitive radio access robust to PU behavioral changes and incomplete PU feedback information; and 4) Hierarchical cognitive radio networks of users with varying degrees of cognition. This significantly broadens the future applications of wireless services in areas with limited open spectrum. The plan recruits students, especially from under-represented groups, and integrates the results into the classes for computer science and electrical engineering majors.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。认知无线电（CR）有可能通过机会主义地利用未充分利用的频谱频段来改善频谱利用率并扩大无线通信服务。该项目设计了高级认知无线电访问和电源控制算法，这些算法可以实现更好的频谱效率，同时将干扰限制为主要通信。这项研究超越了仅依赖于二级用户（SU）光谱传感的更传统的访问策略（SU）光谱传感（PUS），这项研究利用了各种级别的主要网络数据链接控制（DLC）信号和反馈信息。此类DLC信息可在许多实用的无线系统中获得，例如传输配置文件，接收器ACK/NACK，通道质量指示器和电源控制信息。利用此类信息可以提高认知水平。它提供了更有效的频谱共享，更好的PU保护（尤其是在存在多个分布式SUS的情况下）以及多个SU和PU相互作用。主要结果包括：1）基于PU接收器反馈信息的分布式多SU认知访问和功率控制； 2）在多通道认知环境中分布式多SU访问控制的最佳算法； 3）认知无线电访问对行为变化和不完整的PU反馈信息的鲁棒性； 4）具有不同认知程度的用户的层次认知无线网络。这大大扩大了无线服务在开放频谱有限的地区的未来应用。该计划招募了学生，尤其是来自代表性不足的小组的学生，并将结果纳入计算机科学和电气工程专业的课程中。