EAGER: Collaborative Research: Cross-Layer Modeling and Design of Energy-Aware Cognitive Radio Networks

最大限度地减少能源消耗对于开发绿色、可持续的认知无线电终端技术至关重要，这些终端可以连接到具有各种空中接口的不同频段的网络。本课题的智力优势在于统一连贯地考虑射频元件、通信系统算法、基带计算平台和设计工具，大大提高频谱共享效率。数据流方法是认知无线电系统建模、分析和验证的一个很有前途的候选方法。由于数据流模型是抽象的、与平台无关的，因此从低功耗传感器节点到高端移动终端，可以使用相同的模型生成不同设备的实现。关键的新颖之处在于开发了设计、实现和集成可配置射频链的系统方法，以及开发了用于形式化分析和优化这些新功能的数据流方法。预期结果是：(1)利用研究人员现有的实验测试平台，为未来无线电设备的计算、控制和配置提供能源消耗模型和设计框架；(2)为非连续射频频谱的大规模认知访问提供可配置无线电架构；(3)为灵活、节能的认知无线网络提供设计方法。更广泛的影响包括通过WiFiUS计划进行国际合作，为可配置频率敏捷终端创建整体设计。在芬兰坦佩雷理工大学和奥卢大学以及美国莱斯大学和马里兰大学的专家合作的基础上，独特的国际团队实现了一种新颖的跨学科方法。

Minimization of energy consumption is critical to developing green, sustainable technologies for cognitive radio terminals that can connect to networks that operate on different frequency bands with a variety of air interfaces. The intellectual merit of this project is a unified and coherent consideration of RF components, communication system algorithms, baseband computation platforms, and design tools, to greatly increase spectrum sharing efficiency. Dataflow methodologies are a promising candidate for the modeling, analysis and verification of cognitive radio systems. As dataflow models are abstract and platform independent, the same model can be used to generate implementations for very different devices from low-power sensor nodes to high-end mobile terminals. The key novelty is in the development of systematic methods for design, implementation, and integration of configurable RF chains, and in the development of dataflow methods for formal analysis and optimization of these new capabilities. The expected results are: (1) Energy consumption models and a design framework for computation, control and configuration of future radio devices, leveraging the investigators' existing experimental testbeds, (2) Configurable radio architectures for wide-scale cognitive access of noncontiguous RF spectrum, and (3) Design methodologies for flexible, energy-efficient cognitive wireless networks. The broader impact includes international collaboration through the WiFiUS program creating a holistic design for configurable frequency agile terminals. A novel interdisciplinary approach is enabled by the unique international team, which builds upon collaborations between experts at the Tampere University of Technology and University of Oulu in Finland, and Rice University and the University of Maryland in the US.