SBIR Phase II: Cognitive Radio Small Cell for Pervasive Coverage and Sustained

该项目更广泛的影响/商业潜力包括：1）对研究生进行复杂的研究开发培训&，并使学生了解服务和硬件商业模式，2）潜在的经济影响在0.9 T美元和1.7 T美元之间（万亿）根据麦肯锡对物联网技术在智慧城市应用中的研究，3）在提供这种先进技术解决方案的世界市场上，如伊比利亚-美洲，4）显著提高了处理网络上大量设备的能力，而不会使整个网络陷入困境，同时支持未来的带宽密集型应用，以及5）通过全市范围的无线网络部署为服务不足的人群提供低成本互联网连接的能力。第二阶段项目旨在完成第一阶段启动的频谱智能物联网网关的开发。该系统的关键创新是专有的频谱智能功能，用于识别附近的频谱占用情况并修改网络中的传输参数。该项目的智力优势包括：1）实现并测试一种新型物联网网关，该网关具有基于频谱占用信息的自主信道选择能力; 2）将频谱感知算法移植到FPGA平台上进行现场部署，并作为频谱感知ASIC设计的第一步; 3）获得物联网网关企业网络架构的模型设计;和4）在4G/5G无线通信中实施和测试新的自适应OFDM方法来优化功率和频率使用。

The broader impact/commercial potential of this project includes: 1) Training of graduate students on complex research & development as well as enabling student understanding of service and hardware business models, 2) A potential economic impact that is between $0.9T and S1.7T (trillion) according to a McKinsey study of IoT technology in smart city applications, 3) The improvement of the stature of the countries in the world market where this advanced technology solution will be offered, such as Ibero-America, 4) A significant improvement of the ability to handle large number of devices on a network without bogging down the overall network while enabling future bandwidth intensive applications, and 5) The ability to provide low-cost Internet connectivity for underserved populations through city-wide wireless network deployments.This Small Business Innovation Research (SBIR) Phase 2 project seeks to complete the development of a Spectrum Intelligent IoT Gateway initiated during Phase I. The key innovation of this system is a proprietary Spectrum Intelligence capability used to identify spectrum occupancy in the vicinity and modify transmission parameters in the network. The Intellectual Merits of this project include: 1) Implementing and testing a novel IoT Gateway with autonomous channel selection capability based on spectrum occupancy information; 2) Transferring spectrum sensing algorithms into an FPGA platform for its field deployment, and as the first step towards and spectrum sensing ASIC design; 3) Obtaining a model-based design for an enterprise network architecture of IoT Gateways; and 4) Implementing and testing new adaptive OFDM approaches to optimize power and frequency usage is 4g/5G wireless communications.