EARS: Collaborative: Comprehensive Network State Inference for Robust and Policy-Cognizant Spectrum Access

目标：该项目的目标是一个简明的认知基础设施，在治理政策约束下实现稳健的跨层协议设计，从而最大限度地提高认知无线电（CR）网络性能和最终用户满意度，尽管存在与动态和机会性无线电频谱接入相关的挑战，以及反映获取网络状态测量成本和限制的不完整，损坏和零星数据。学术价值:智力上的优点是将最先进的学习工具转化为对“全局”网络状态（包括干扰、任意链路增益、频带占用、队列长度和路径延迟）的全面和资源感知认知，并与具有政策含义的CR网络的随机、状态认知优化相结合，以开拓路由、媒介访问、无线CR网络的物理层设计具有对状态不确定性的鲁棒性。更广泛的影响：更广泛的影响包括对移动特设、智能电网、智能交通网络以及医疗遥测、地理监测和监视系统的切实影响。在基于核的学习、核矩阵补全、图推理和基于采样的场景优化等基础方面的进展，将有利于一系列研究领域，包括社会分析、生物信息学、医学成像和使用传感器网络的监测。与技术组成部分相结合的政策研究将鼓励社区接受新的CR技术，并开辟投资和商业机会，产生更大的经济影响。由拟议的认知频谱操作测试平台推动的本科生设计项目和Botball竞赛，也将使学生在最先进的学习、移动机器人无线系统和网络优化主题方面获得实践经验。

Objective: The objective of this project is a compendious cognition infrastructure enabling robust, cross-layer protocol designs under governance policy constraints, so as to maximize the cognitive radio (CR) network performance and end-user satisfaction, notwithstanding the challenges associated with dynamic and opportunistic radio-spectrum access, as well as the incomplete, corrupt and sporadic data reflecting the cost and restrictions in acquiring network state measurements.Intellectual merit: The intellectual merit is to transform state-of-the-art learning tools for comprehensive and resource-aware cognition of the "global" network state (which includes interference, any-to-any link gains, band occupancies, queue lengths, and path delays), jointly with stochastic, state-cognizant optimization of CR networks with policy implications, to pioneer transformative adaptation approaches to routing, medium-access, and physical-layer designs of wireless CR networks endowed with the much needed robustness to state uncertainty.Broader impacts: The broader impacts include tangible implications to mobile ad hoc, smart grid, intelligent transportation networks, as well as medical telemetry, geo-monitoring, and surveillance systems. Advances in the foundations of kernel-based learning, kernel matrix completion, inference on graphs, and sampling-based scenario optimization, will benefit a gamut of research areas including social analytics, bio-informatics, medical imaging, and surveillance using sensor networks. Policy research integrated with technical components will encourage community embracing of novel CR technologies and open up investment and business opportunities yielding greater economic impact.Undergraduate Design Projects and Botball Competition, facilitated by the proposed Cognitive Spectrum Operations Testbed, will also benefit student training with hands-on experience in state-of-the-art learning, wireless systems on mobile robots, and network optimization subjects.