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) 智力成果 这个 NSF EARS 项目提出了一种新的频谱感知架构，与联合链路调度和路由相结合，以显着增强对无线电频谱的访问。传统的非定向感知算法不提供有关主信号和次信号方向的信息、有关干扰的方向信息以及有关网络节点位置的信息，因此极大地限制了认知无线电技术在频谱利用方面的潜力。该项目设想了一个通用框架，用于确定和随后利用时间、频率、位置和方向上的时空空缺。新的数学、硬件和软件算法和技术将率先实现低复杂性数字无线电。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性能。所提出的创新将通过基于多维信号处理概念的方向感测算法的数学公式和建模来完成。该项目还将研究低复杂度的快速算法，以实现实时实现，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）高度敏捷的射频组件模型，所有这些都领先更广泛的影响该提案需要四所大学（包括 HBCU 和本科院校）紧密整合研究和教育活动。频谱意识教育被作为该项目的关键组成部分之一，因为无线系统设计者和政策制定者都迫切需要这些知识来在这一即将到来的技术领域开拓新的创新。认知无线电网络中拟议的研究所带来的科学发现将成为工程转型技术的有形工具箱，这些技术反过来又会导致直接受益于知识产权（例如专利）的企业和服务的蓬勃发展。这项研究将促进初创公司制造新设备，从而有可能改善当今的无线基础设施。将从统一的角度（即频谱稀缺性）研究教育、能源、环境、医疗保健、基础设施和公共安全领域的独特和多样化的应用，目的是最大限度地发挥这些科学发现的未开发经济潜力。该项目将让少数族裔、代表性不足的群体和女性参与研究，同时通过新的实验室模块激发频谱意识教育概念。将通过指导和推广来鼓励和促进代表性不足的群体和妇女的参与，旨在激励他们攻读工程和计算机科学方面的研究生课程。