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

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:
$22.0万
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
项目状态:
已结题
起止时间:
2007-08-01 至 2010-07-31

项目摘要

项目成果

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中文摘要
翻译
提案号:CNS 07-23263PI(s): Kumar, Sunil Nagaraj, Santosh V.;机构:圣地亚哥州立大学圣地亚哥,CA 92115-1338标题:MRI/Acq。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,在该平台上可以测试利用认知无线电在物理层、MAC层、传输层和路由层的优点的协议,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。这项工作涉及到。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,并且很少为研究人员提供对RF, PHY和较低MAC功能的完全控制。获得新的和真实的频谱孔检测和频谱使用模式模型,提供描述频谱使用趋势和模式的真实数据,这将对构建原型有重要贡献(仿真结果仅与使用它们的模型一样好)。通过研究授权频段的主要用户特征,从模型中重新创建概念,然后通过模拟ISM频段的主要用户特征,重新创建这些用户,用于测试动态频谱接入算法。智能认知无线电嗅探射频(RF)介质并识别未使用频谱的频段。然后,这些频带被“清除”,信息可以利用正交频分复用(OFDM)加载可用频率的可能非连续频带在它们上面传输。美国联邦通信委员会(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,甚至为认知无线电网络开辟了电视频段。因此,该项目创建了一个硬件平台来研究认知无线电系统,并建立了一个测试平台来分析物理、MAC、路由和传输层,以实现该领域的研究。这些模型是为孔检测和频谱使用模式开发的。整个方法通过仿真将建模和再创建(在ISM频带中)结合起来。更广泛的影响:该试验台支持许多应用,如普及网络、远程患者监测、车辆间通信、应急通信、机载网络和监视系统。结果的传播应对认知无线电网络领域的研究和发展产生重大影响。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。课程的改进有望提高学生(许多来自代表性不足的群体)的技术技能和就业前景。
英文摘要
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).
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  • 批准号:
    ES/T016094/1
  • 项目类别:
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  • 资助金额:
    $42.06万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
    Standard Grant
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
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