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

随着无线通信业务的迅猛发展，无线电频谱已成为一种宝贵的资源。另一方面，许多许可的频谱在时间和空间领域都没有得到充分利用。这种情况促使动态频谱接入以提高频谱利用率。本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），以利用最近的频谱政策演变，同时消除困扰现有动态频谱接入模型的技术障碍。我们考虑频谱服务提供商为用户提供按需频谱服务，用户可以动态建立面向应用的虚拟拓扑，开展特定的应用。该项目将开发最优或接近最优的频谱分配算法，以及改进频谱共享和提高频谱利用率的新技术。所开发的算法、技术和架构有可能影响频谱当局对频谱管理的政策改革，并影响未来无线通信系统的设计、部署和运营，从而对经济、社会和公共安全产生重大影响。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民族学生和外展活动，促进扩大代表性不足的少数民族学生参与研究和教育。

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.