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的技术，使无线网络的容量大幅增长，支持各种应用，但不增加可用频谱。该项目是基于观察，在今天的无线网络的频谱资源分配是独立的应用程序的服务质量（QoS）的要求和用户的感知QoS，或最好的依赖于一组预定义的固定优先级。HAMCR通过为应用级QoS权衡连接的频谱资源分配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QoS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不断变化的流量需求来显著地提高频谱利用率。为了实现上述目标，本文的研究目标是：1）开发中间件的基本设计，通过表征应用参数和权衡频谱资源的应用级QoS来优化可用物理资源的分配，同时最小化对用户感知QoS的降级，从而最大化频谱利用率; 2）设计并实现了一个模拟无线测试平台，通过评估所提出的方法在多个实际通信场景中的复杂度和增益，来评估基于应用的资源分配的可行性。该项目的结果有望在认知无线电领域形成一个新的方向，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.