MRI: Acquisition of a Test-bed for Next Generation Cognitive Radio Wireless Networks

MRI：获取下一代认知无线电无线网络测试台

• 批准号: 0723263
• 负责人: Sunil Kumar
• 金额: $ 22万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0723263&HistoricalAwards=false
• 关键词: MRI; Acquisition; Test; bed; Next

Proposal #: CNS 07-23263PI(s): Kumar, Sunil Nagaraj, Santosh V.; Sarkar, MahaswetaInstitution: San Diego State University San Diego, CA 92115-1338Title: MRI/Acq.: Test-bed for Next Generation Cognitive radio Wireless Networks Project Proposed:This project, acquiring a state-of-the-art cognitive radio test bed on which the protocols that exploit the merits of cognitive radios at the physical, MAC, transport, and routing layers can be tested, includes verification on a practical testbed or prototype to validate the theoretical and simulations work needed for the development of wireless networks, especially cross layer architectures. The work involves . Addressing the needs of commercial platforms that often do not allow any changes in the underlying framework and seldom provide researchers full control of the RF, PHY, and lower MAC functionalities. . Obtaining new and realistic models for spectrum hole detection and spectrum usage pattern providing real data depicting trend and patterns of spectrum usage which will contribute significantly in building prototypes (Simulation results are only as good as the models that use them.). Recreating concepts from a model of primary users studying the characteristics in licensed bands and then recreating those primary users in the ISM bands by emulating their characteristics for testing the dynamic spectrum access algorithms.Intelligent cognitive radios sniff the radio frequency (RF) medium and identify bands of unused spectrum. These bands are then "scavenged" and information can be transmitted over them utilizing orthogonal frequency division multiplexing (OFDM) loading possibly non-contiguous bands of available frequencies. Federal Communication Commission (FCC) has recognized the importance of cognitive radio in spectrum management in the coming years, and has even opened the television band for the purpose of cognitive radio networks. Thus, the project creates a hardware platform to investigate cognitive radio systems and builds a test bed to analyze the physical, MAC, routing and transport layers to enable research in the area. The models are developed for hole detection and spectrum usage patterns. The overall approach combines modeling and re-creation (in the ISM bands) via emulation.Broader Impacts: This test bed enables many applications such as pervasive networks, remote patient monitoring, inter-vehicular communications, emergency communications, airborne networks, and surveillance systems. Dissemination of results should have major impact on research and development in the areas of cognitive radio networks. Research will be transferred to wireless communication industry on San Diego through SDSU's industry partnerships. Curricular improvements are expected to enhance the technological skills and employment prospects of students (many from underrepresented groups).

提案编号：CNS 07- 23263 PI：Kumar、Sunil Nagaraj、Santosh V.;圣地亚哥州立大学 San Diego，CA 92115- 1338标题： MRI/采集：下一代认知无线电无线网络测试平台项目建议：该项目获得了一个最先进的认知无线电测试平台，可以在该平台上测试在物理层、MAC层、传输层和路由层利用认知无线电优点的协议，包括在实际测试平台或原型上进行验证，以验证无线网络开发所需的理论和模拟工作，特别是跨层架构。工作涉及。满足商业平台的需求，这些平台通常不允许对底层框架进行任何更改，并且很少让研究人员完全控制RF、PHY和较低的MAC功能。.获得用于频谱空洞检测和频谱使用模式的新的和现实的模型，提供描绘频谱使用的趋势和模式的真实的数据，这将显著有助于构建原型（仿真结果仅与使用它们的模型一样好）。从一个主要用户的模型中重新创建概念，研究授权频段的特性，然后通过模拟他们的特性在ISM频段中重新创建这些主要用户，以测试动态频谱接入算法。智能认知无线电嗅探射频（RF）介质，并识别未使用的频谱频段。然后，这些频带被“清除”，并且可以利用正交频分复用（OFDM）加载可能不连续的可用频率频带来在这些频带上传输信息。联邦通信委员会（FCC）已经认识到认知无线电在未来几年频谱管理中的重要性，甚至开放了电视频段用于认知无线电网络。因此，该项目创建了一个硬件平台来研究认知无线电系统，并建立了一个测试床来分析物理层、MAC层、路由层和传输层，以实现该领域的研究。该模型是为孔检测和频谱使用模式而开发的。整个方法通过仿真结合了建模和再创建（在ISM频段）。更广泛的影响：该测试台支持许多应用，如普适网络、远程患者监护、车辆间通信、紧急通信、机载网络和监视系统。研究成果的传播应对认知无线电网络领域的研究和开发产生重大影响。研究将通过SDSU的行业合作伙伴关系转移到圣地亚哥的无线通信行业。预计课程的改进将提高学生的技术技能和就业前景（许多学生来自代表性不足的群体）。