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

该项目的广泛影响/商业潜力包括：1)培训研究生进行复杂的研究和开发，并使学生了解服务和硬件商业模式；2)根据麦肯锡对智慧城市应用中的物联网技术的研究，潜在的经济影响在0.9万亿美元到1.7万亿美元（万亿美元）之间；3)提高将提供这种先进技术解决方案的国家在世界市场上的地位，如伊比利亚美洲；4)显著提高处理网络上大量设备的能力，而不会使整个网络陷入瘫痪，同时实现未来带宽密集型应用；5)通过城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。该小企业创新研究（SBIR）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。本项目的智力优势包括：1)实现并测试了一种基于频谱占用信息的具有自主信道选择能力的新型物联网网关；2)将频谱感知算法转移到FPGA平台上进行现场部署，并作为实现频谱感知ASIC设计的第一步；3)获得基于模型的物联网网关企业网络架构设计；4)实施和测试新的自适应OFDM方法，以优化4g/5G无线通信的功率和频率使用。

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.