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

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)通过机会性地利用未充分利用的频段来提高频谱利用率和扩展无线通信服务。该项目设计了先进的认知无线电接入和功率控制算法，可以在限制对主要通信的干扰的同时实现更好的频谱效率。超越了仅依赖次用户(SU)频谱感知来避免与主用户(PU)冲突的更传统的接入策略，本研究利用不同级别的主网络-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，例如传输简档、接收器ACK/NACK、信道质量指示符和功率控制信息。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(特别是在存在多个分布式SU的情况下)以及多个级别的SU和PU相互作用。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PU反馈信息不完全具有鲁棒性的认知无线电接入；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地区的未来应用。该计划招募学生，特别是来自代表性不足的群体，并将结果整合到计算机科学和电气工程专业的班级中。

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.