NeTS: Small: Inducing and Exploiting Spectrum Predictability via Traffic Shaping and Mobility for Cognitive Communication in White Space

白色空间中的频谱机会在很大程度上取决于许可用户(PU)的流量模式，并因空间、时间和频率而异。作为一种范式的转变，该项目倡导利用PU的流量整形和移动性模式来在时空域中诱导可预测的频谱空洞结构，从而使认知无线电用户能够更高效地进行频谱接入。在这样一个共同的主线下，本项目将1)研究作为频谱整形器的PU的流量整形和网络编码联合，以在频谱空洞中诱导预测结构；2)研究SU？通过自适应文件碎片和预定文件碎片进行认知传输，这些文件碎片可以匹配动态发现的频谱机会的特征；以及3)通过利用PU-移动性可预测性来探索认知路由。高效的频谱利用将促进各种科学和工程应用，并对整个社会产生重大影响。这项研究将为频谱塑造开辟一个新的方向，从而产生可预测的频谱机会结构，然后被SU用于有效的认知交流。这一发现将推进认知无线电网络的最先进水平，并刺激新的思维路线。该项目的另一项主要任务是将研究与教育活动相结合。特别是，PIs将继续让代表不足的学生和少数族裔学生参与研究。

Spectrum opportunities in white space hinge heavily on the traffic patterns of the licensed users (PUs), and vary across space, time, and frequency. Making a paradigm shift, this project advocates to leverage traffic shaping and mobility patterns of PUs for inducing predictable structures of spectrum holes in the spatio-temporal domain, which in turn enables more efficient spectrum access by cognitive radio users. With such a common thread, this project will 1) study joint traffic shaping and network coding for PUs, as a spectrum shaper, to induce predictive structures in spectrum holes; 2) investigate SUs? cognitive transmissions via adaptive file fragmentation and predetermined file fragmentation that can match the characteristics of spectrum opportunities discovered on the fly; and 3) explore cognitive routing via exploiting PU-mobility predictability. Efficient spectrum usage will facilitate a wide variety of scientific and engineering applications and result in a significant impact on the society at large. This research will open a new direction for spectrum shaping that induces predictable structures of spectrum opportunities, which can then be exploited by SUs for effective cognitive communications. The findings will advance the state-of-the-art of cognitive radio networking and spur a new line of thinking. Another major task of this project is to integrate research with educational activities. In particular, the PIs will continue to involve under-represented and minority students in research.