NeTS: Small: RUI: On-Demand Spectrum Access: Application-Oriented Dynamic Spectrum Access

随着无线通信业务的激增，无线电频谱已经成为一种宝贵的资源。另一方面，许多授权频段在时间和空间域上都被严重地利用不足。这种情况促使动态频谱接入来提高频谱利用率。该项目提出了一种新的面向应用的动态频谱接入模型，称为按需频谱接入(ODSA)，以利用最近的频谱策略演变，同时消除困扰现有动态频谱接入模型的技术壁垒。我们认为频谱服务提供商向用户提供按需频谱服务，使用户可以动态地建立面向应用的虚拟拓扑来进行特定的应用。该项目将开发最优或接近最优的频谱分配算法，以及改善频谱共享和提高频谱利用率的新技术。开发的算法、技术和体系结构可能会影响频谱管理部门的频谱管理政策改革，并影响未来无线通信系统的设计、部署和运营，从而产生重大的经济、社会和公共安全影响。该项目还提供了一个极好的机会，通过直接支持代表性不足的少数族裔学生和外联活动，促进未占名额少数族裔学生更广泛地参与研究和教育。

With the proliferated growth of wireless communication services, the radio spectrum has become a precious resource. On the other hand, many licensed spectrum bands are considerably under-utilized in both time and spatial domains. This situation has motivated dynamic spectrum access to increase spectrum utilization. This project proposes a novel application-oriented dynamic spectrum access model, termed on-demand spectrum access (ODSA), to capitalize on recent spectrum policies evolution, while eliminate technical barriers bothering the existing dynamic spectrum access model. We consider a spectrum service provider to offer on-demand spectrum services to users, such that users can dynamically set up application-oriented virtual topologies to carry out specific applications. This project will develop optimal or near-optimal spectrum allocation algorithms, and novel techniques to improve spectrum sharing and increase spectrum utilization. The developed algorithms, techniques, and architectures have the potential to affect the spectrum authorities on policy reform of spectrum management, and affect the design, deployment, and operation of future wireless communication systems, to result in significant economical, societal, and public safety impacts. This project also offers an excellent opportunity to promote broadening participation of underrepresented minority students in research and education, by directly supporting underrepresented minority students and outreach activities.