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.

该奖项由2009年《美国复苏和再投资法案》（公法111-5）资助。认知无线电（CR）有可能提高频谱利用率和扩大无线通信服务，通过机会性地利用未充分利用的频带。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。超越更传统的接入策略，只依赖于次要用户（SU）频谱感知，以避免与主要用户（PU）的冲突，本研究利用各级主要网络？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是可用的，诸如传输简档、接收机ACK/NACK、信道质量指示符和功率控制信息。利用这些信息提高SU认知水平。它提供了更有效的频谱共享、更好的PU保护（特别是在存在多个分布式SU的情况下）以及多级SU和PU交互。主要成果包括：1）基于PU接收机反馈信息的分布式多SU认知接入和功率控制; 2）多信道认知环境下分布式多SU接入控制的优化算法; 3）对PU行为变化和不完整PU反馈信息鲁棒的认知无线电接入; 4）具有不同认知程度的用户的分层认知无线电网络。这大大拓宽了无线服务在开放频谱有限的地区的未来应用。该计划招收学生，特别是来自代表性不足的群体，并将结果融入计算机科学和电气工程专业的课程。