Collaborative Research: NECO: A Market-Driven Approach to Dynamic Spectrum Sharing
合作研究:NECO:市场驱动的动态频谱共享方法
基本信息
- 批准号:0831633
- 负责人:
- 金额:$ 49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
To counter the inefficiencies of the current spectrum usage, regulatory bodies, all over the world, are exploring ways to deregulate the spectrum market by allowing flexible dynamic spectrum access (DSA) in a broad range of spatio-temporal scale. Recent advances in radio technology have given an impetus to this trend. For DSA to fulfill its promise of economic and societal impact, wireless services based on DSA must be commercially successful, and a tangible spectrum market must evolve that can be supported by technology. This research project will build a realistic DSA architecture for cellular networks supported by appropriate market mechanisms in an integrated fashion that is both technically and economically viable and efficient. This is a truly trans-disciplinary approach spanning the fields of wireless networking and systems, algorithmics, economics, simulation and modeling, which leads to a deeper understanding of the dynamics of the spectrum market by (i) realistic modeling of various market entities (i.e., buyers, sellers, and the market mechanisms), (ii) dynamic spectrum demands and bids based on innovative and realistic population dynamics models, and (iii) new and robust market clearing mechanisms with provable performance guarantees. The results will be validated using large-scale simulations, and experiments on a prototype test bed with reconfigurable radio hardware. In addition to fostering new topics in trans-disciplinary education, this project will offer insights into market driven spectrum sharing, provide useful tools for policymakers, and ultimately guide spectrum policy decisions in DSA technology. This will, in turn, open up new business opportunities in the use of wireless spectrum.
为了解决当前频谱使用效率低下的问题,世界各地的监管机构正在探索通过允许在广泛的时空范围内灵活的动态频谱接入(DSA)来放松对频谱市场的管制。无线电技术的最新进展推动了这一趋势。为了使 DSA 兑现其对经济和社会影响的承诺,基于 DSA 的无线服务必须在商业上取得成功,并且必须发展一个可以得到技术支持的有形频谱市场。该研究项目将为蜂窝网络构建一个现实的 DSA 架构,并以技术和经济上可行且高效的集成方式,以适当的市场机制支持。这是一种真正的跨学科方法,涵盖无线网络和系统、算法、经济学、模拟和建模领域,通过(i)对各种市场实体(即, 、买家、卖家和市场机制),(ii)基于创新和现实的人口动态模型的动态频谱需求和出价,以及(iii)具有可证明的绩效保证的新的、强大的市场清算机制。结果将通过大规模模拟以及在具有可重新配置无线电硬件的原型测试台上进行的实验来验证。除了培育跨学科教育的新主题外,该项目还将提供对市场驱动的频谱共享的见解,为政策制定者提供有用的工具,并最终指导 DSA 技术的频谱政策决策。反过来,这将为无线频谱的使用开辟新的商机。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Anil Kumar Vullikanti其他文献
Anil Kumar Vullikanti的其他文献
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{{ truncateString('Anil Kumar Vullikanti', 18)}}的其他基金
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III: Medium: Collaborative Research: Detecting and Controlling Network-based Spread of Hospital Acquired Infections
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BIGDATA:协作研究:F:流行病学和传染动力学中大规模图问题的高效分布式计算
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BIGDATA: Collaborative Research: F: Efficient Distributed Computation of Large-Scale Graph Problems in Epidemiology and Contagion Dynamics
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1633028 - 财政年份:2016
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ICES: Large: Collaborative Research: The Role of Space, Time and Information in Controlling Epidemics
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1216000 - 财政年份:2012
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CAREER: Cross-layer optimization in Cognitive Radio Networks in the Physical interference model based on SINR constraints: Algorithmic Foundations
职业:基于 SINR 约束的物理干扰模型中认知无线电网络的跨层优化:算法基础
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0845700 - 财政年份:2009
- 资助金额:
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