EAGER: SC2: Team Dragon Radio

这个关于协作频谱共享的项目将通常不被考虑的多个研究领域聚集在一个单一的无线电平台上，在这个平台上，成功的实施促进了通信和网络领域潜在的变革性进步。从教育的角度来看，该项目开发新的本科生和研究生教学实验室和项目。人力资本是通过这些课程和实验室经验培养出来的，学生也从与工业和国际合作伙伴的合作中受益。该项目使用其动态时分多址(D-TDMA)技术来同步无线电节点，以实现最佳协作。还利用GPU编程实现低延迟、宽带射频频谱感知。可重构的现场可编程门阵列设计和机器学习算法用于决策和自组织路由。该小组还使用观察、定向、决定和行动(Ooda)周期来与无线电环境和其他参与节点/网络进行协调。所有开发都在连接到USRP x310软件定义无线电节点的基于Linux的专用机器上进行。

This project on collaborative spectrum sharing brings together multiple research areas not typically considered together on to a single radio platform, where a successful implementation promotes potentially transformative advances in communications and networking. From an educational perspective, this program develops new undergraduate and graduate teaching laboratories and projects. Human capital is developed through these coursework and laboratory experiences, and the students also benefit through collaboration with both industrial and international partners.This project uses its Dynamic Time Division Multiple Access (D-TDMA) technology for synchronizing radio nodes for optimal collaboration. GPU programming is also leveraged for low-latency, wide-band RF spectrum awareness. Reconfigurable FPGA design for OFDM and the use of machine learning algorithms are used for decision-making and ad-hoc routing. The team also uses an Observe Orient Decide and Act (OODA) cycle for coordinating with the radio environment and other participating nodes/networks. All development takes place on dedicated Linux-based machines connected to USRP X310 software-defined radio nodes.