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: 1247853
• 负责人: Chunsheng Xin
• 金额: $ 12.5万
• 依托单位: Norfolk State University
• 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 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1247853&HistoricalAwards=false
• 关键词: EARS; Collaborative; Research; Enhancing; Spectral

NSF Proposal No. 1247853Xin, Chunsheng 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1247853XIN，CHUNSHENG知识分子绩效NSF EARS项目提出了一种新的频谱传感体系结构，并结合了联合链路调度和路由，以显着增强对无线电光谱的访问。传统的非方向传感算法没有提供有关主要和次要信号的方向，有关干扰的方向信息以及有关网络节点位置的信息，因此显着限制了认知无线电技术在光谱利用方面的潜力。该项目设想了一个广义框架，从而导致时间，频率，位置和方向确定和随后利用时空空位。新的数学，硬件和软件算法和技术将率先促进低复杂性数字收音机。多维感知的信息将推动旨在提高认知无线网络性能的跨层链路调度和路由方案的创新。提出的创新将通过数学公式和基于多维信号处理概念的定向传感算法建模来实现。该项目还将调查低复杂性快速算法，以实现实时实现，从而导致（i）（i）数字集成电路，（ii）认知无线电的新设计技术，以及（iii）高度敏捷的射电频率组件，所有这些模型均导致一项集成的方向性范围和综合研究的综合研究，构成了综合的研究，构成了综合的研究，构成了综合的研究，他们构成了高度的综合研究。本科机构。频谱感知的教育是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急需这些知识才能在即将到来的技术领域中开创新的创新。认知无线电网络中提议的研究实现的科学发现将成为工程转型技术的切实工具框，这些技术可能会导致直接受益于知识产权（例如专利）的企业和服务的促进企业和服务。这项研究将促进创业公司制造新设备，从而有可能改善当今的无线基础设施。将从统一的角度（即频谱稀缺）研究教育，能源，环境，医疗保健，基础设施和公共安全方面的独特和多样化的应用，目的是最大程度地提高这种科学发现的未开发的经济潜力。该项目将涉及少数群体，代表性不足的群体和妇女研究，同时通过新的实验室模块启发了频谱感知的教育概念。将通过指导和宣传来鼓励和促进代表性不足的团体和妇女的参与，旨在激发他们在工程和计算机科学领域的研究生学习。