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年美国复苏和再投资法案（公法111-5）资助的。认知无线电（CR）有潜力通过机会性地利用未充分利用的频谱频段来提高频谱利用率和扩展无线通信业务。该项目设计了先进的认知无线电接入和功率控制算法，可以实现更好的频谱效率，同时限制对主要通信的干扰。该研究超越了仅依赖于辅助用户（SU）频谱感知以避免与主用户（pu）发生冲突的更传统的访问策略，利用了不同级别的主网络？s数据链路控制（DLC）信令和反馈信息。这种DLC信息在许多实际的无线系统中都是可用的，例如传输配置文件、接收器ACK/NACK、信道质量指示器和功率控制信息。利用这些信息可以提高SU的认知水平。它提供了更有效的频谱共享，更好的PU保护（特别是在多个分布式SU存在的情况下），以及多个级别的SU和PU交互。主要成果包括：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)多通道认知环境下分布式多su访问控制优化算法；3)认知无线电接入对PU行为变化和不完全PU反馈信息具有鲁棒性；4)不同认知程度用户的分层认知无线网络。这大大拓宽了无线服务在有限开放频谱地区的未来应用。该计划招收学生，特别是来自代表性不足的群体的学生，并将结果整合到计算机科学和电气工程专业的课程中。