EAGER: Collaborative Research: Holistically Application-Aware Multi-dimensional Cognitive Radio (HAMCR)

整体应用感知多维认知无线电(HAMCR)研究的总体目标是创建一套变革性和整体性技术，以实现无线网络容量的大幅增长，同时支持不同的应用，但不增加可用的频谱。该项目基于这样的观察，即在当今的无线网络中，资源的频谱分配要么独立于应用的服务质量(Qos)要求和用户感知的Qos，要么充其量依赖于一组预定义的固定优先级。HAMCR通过在连接的频谱资源分配与应用级服务质量之间进行权衡来最大化频谱利用率，同时仍然为底层应用的各个用户保持可接受的服务质量水平，从而在频谱资源短缺时满足增加的用户数量。这种应用感知的认知无线电通过智能地支持预期的流量增长和动态地满足流量中不断变化的需求，显著提高了频谱利用率。为了实现上述目标，本研究的目标是：1)开发中间件的基本设计，通过对应用参数的表征和对频谱资源的应用级服务质量的权衡，来优化可用的物理资源的分配，同时最小化对用户感知的服务质量的降低，从而最大化频谱利用率；以及2)设计和实现一个模拟的无线测试平台，通过评估所提出的方法在多种实际通信场景中的复杂性和增益来评估基于应用的资源分配的可行性。这一项目的成果有望为认知无线电领域开辟一个新的方向，即应用感知认知无线电。

The overarching goal of the Holistically Application-Aware Multi-dimensional Cognitive Radio (HAMCR) research is to create a set of transformative and holistic technologies that enable substantial growth in the capacity of wireless networks, with support for diverse applications, but without increasing the available spectrum. The project is based on the observation that in today's wireless networks the spectral allocation of resources is either independent of the applications' Quality of Service (QoS) requirements and of the user's perceived QoS, or at best relies on a set of pre-defined fixed priorities. HAMCR maximizes spectrum utilization by trading off the spectral resource allocations of connections for the application-level QoS, while still maintaining acceptable levels of QoS for the individual users of the underlying applications, thus satisfying an increased number of users in times of shortage of spectral resources. Such an application-aware cognitive radio significantly advances spectrum utilization by intelligently supporting the expected traffic growth and by dynamically satisfying the changing demands in traffic. To achieve the above goal, the objectives of the proposed research are to: 1) Develop the fundamental design of middleware to optimize the allocation of the available physical resources by characterizing the applications' parameters and by trading off application-level QoS for spectral resources, while minimizing the degradation to the user-perceived QoS, thus maximizing the spectrum utilization; and 2) Design and implementation of a simulated wireless testbed to assess the feasibility of the application-based resources allocation by evaluating the complexity and the gain of the proposed approach for a number of realistic communication scenarios. The results of this project are expected to forge a new direction in the cognitive radio field, i.e., application-aware cognitive radio.