EARS: Collaborative Research: Enhancing Spectral Access via Directional Spectrum Sensing Employing 3D Cone Filterbanks: Interdisciplinary Algorithms and Prototypes

EARS：协作研究：使用 3D 锥形滤波器组通过定向频谱传感增强频谱访问：跨学科算法和原型

• 批准号: 1247940
• 负责人: Habarakada Madanayake
• 金额: $ 22.49万
• 依托单位: University of Akron
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1247940&HistoricalAwards=false
• 关键词: EARS; Collaborative; Research; Enhancing; Spectral

NSF Proposal No. 1247940Dr. A. Madanayake (PI)Intellectual MeritThis NSF EARS project proposes a new spectrum sensing architecture combined with joint link scheduling and routing to significantly enhance access to the radio spectrum. Traditional non-directional sensing algorithms do not offer information about the direction of primary and secondary signals, directional information on interference, and information on network node location, and hence significantly limit the potential of cognitive radio technology in terms of spectrum utilization. This project envisions a generalized framework leading to the determination and subsequent utilization of spatio-temporal vacancies in time, frequency, position and direction. New mathematical, hardware, and software algorithms and techniques will be pioneered toward enabling low-complexity digital radios. Multi-dimensional sensed information will drive the innovation of cross-layer link scheduling and routing schemes aimed at boosting the cognitive radio network performance. The proposed innovations will be accomplished through mathematical formulation and modeling of directional sensing algorithms based on multi-dimensional signal processing concepts. The project will also investigate low-complexity fast algorithms for enabling real-time realization leading to new types of (i) digital integrated circuits, (ii) new design techniques for cognitive radios, and (iii) highly agile radio frequency component models all leading to an integrated directional spectrum sensor.Broader ImpactsThis proposal entails tightly integrated research and educational activities at four universities including an HBCU and an undergraduate institution. Spectrum-aware education is pursued as one of the key components of the project because wireless system designers and policy makers alike urgently need this knowledge for pioneering new innovations in this upcoming area of technology. Scientific findings enabled by the proposed research in the cognitive radio networks will serve as a tangible tool-box for engineering transformational technologies such technologies could, in turn, lead to mushrooming of businesses and services that directly benefit from intellectual property (e.g. patents). This research will foster startup firms manufacturing new devices that will potentially improve today's wireless infrastructure. Distinct and diverse applications in education, energy, environment, healthcare, infrastructure, and public-safety will be studied from a unified perspective, i.e. spectrum scarcity, with the objective of maximizing the untapped economic potential of such scientific findings. The project will involve minorities, underrepresented groups, and women in research, while inspiring spectrum-aware educational concepts through new laboratory modules. Participation of underrepresented groups and women will be encouraged and promoted through mentorship and outreach, aimed at inspiring them to take up graduate studies in engineering and computer science.

NSF提案编号：1247940DR.A.Madanayake(PI)智能优点NSF EAR项目提出了一种新的频谱感知体系结构，结合了联合链路调度和路由，以显著增强对无线电频谱的访问。传统的非定向感知算法不提供关于主次信号方向的信息、关于干扰的定向信息以及关于网络节点位置的信息，因此大大限制了认知无线电技术在频谱利用方面的潜力。该项目设想了一个一般性框架，从而确定和随后利用时空空缺在时间、频率、位置和方向方面的作用。新的数学、硬件和软件算法和技术将被率先用于实现低复杂性的数字无线电。多维感知信息将推动跨层链路调度和路由方案的创新，旨在提高认知无线电网络的性能。所提出的创新将通过基于多维信号处理概念的定向传感算法的数学描述和建模来实现。该项目还将研究实现实时实现的低复杂性快速算法，从而产生新型(I)数字集成电路，(Ii)认知无线电的新设计技术，以及(Iii)高度灵活的射频组件模型，所有这些都将导致集成的定向频谱传感器。广泛影响这项提议需要在四所大学(包括一所HBCU和一所本科院校)紧密整合研究和教育活动。频谱感知教育被视为该项目的关键组成部分之一，因为无线系统设计师和政策制定者都迫切需要这方面的知识，以便在这一即将到来的技术领域开创新的创新。拟议中的认知无线电网络研究提供的科学发现将成为设计变革性技术的有形工具箱，这些技术反过来可能导致直接受益于知识产权(例如专利)的企业和服务如雨后春笋般涌现。这项研究将培育制造新设备的初创公司，这些设备可能会改善当今的无线基础设施。将从统一的角度研究在教育、能源、环境、医疗保健、基础设施和公共安全方面的不同和多样化的应用，即频谱稀缺，目的是最大限度地利用这些科学发现尚未开发的经济潜力。该项目将让少数族裔、代表性不足的群体和妇女参与研究，同时通过新的实验室模块激发具有光谱意识的教育概念。将通过辅导和外联活动鼓励和促进任职人数不足的群体和妇女的参与，旨在鼓励她们攻读工程学和计算机科学方面的研究生课程。