NeTS: Small: Collaborative Research: Financial Dynamics of Spectrum Trading
NeTS: Small: Collaborative Research: Financial Dynamics of Spectrum Trading
批准号:
0916958
负责人:
Koushik Kar
金额:
$31.78万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31
中文摘要
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。一个结构良好的市场的存在是必要的,以有效和灵活地使用许可的频谱频段,并为频谱使用的公平定价。该项目的目标是设计无线电频谱市场,允许频谱资源的交易-不仅是原始频谱,而且还包括从频谱使用中获得的各种服务合同。具体的子问题,将在这种情况下解决包括:1)频谱投资组合建设,优化风险与回报的权衡,2)战略设计提供商之间的最佳合作,3)价格驱动的动态调度的用户,4)频谱合同的最优定价,和5)监管机制的频谱市场的有效运作。上述问题的解决方案利用了金融工程中类似的公式,并使用了最优化,随机微积分,控制和博弈论的工具。该项目预计将通过促进二级频谱市场和频谱监管政策的设计来彻底改变频谱交易。为此,该项目旨在建立一个新的跨学科领域,即无线网络和金融数学的接口。研究结果将有助政府制订频谱管理及规管政策,以减少频谱浪费及公平地为无线用户定价,从而更有效地使用可用频谱。研究结果将通过在顶级期刊和会议上发表文章以及与无线行业合作者的互动进行传播。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Presence of a well-structured market is necessary for efficient and flexible use of licensed spectrum bands, and for fair pricing of spectrum usage. The goal of this project is to design radio spectrum markets that allow trading of spectral resources - not only of the raw spectrum, but also of a variety of service contracts derived from the use of spectrum. Specific sub-problems that will be addressed in this context include: 1) spectrum-portfolio construction that optimizes risk-versus-return trade-offs, 2) strategy design for optimal cooperation among providers, 3) price-driven dynamic scheduling of subscribers, 4) optimal pricing of spectral contracts, and 5) regulatory mechanisms for effective functioning of the spectrum markets. The solutions to the above problems take advantage of similar formulations in financial engineering, and use tools from optimization, stochastic calculus, and control and game theory.The project is expected to revolutionize spectrum trading by facilitating the design of secondary spectrum markets and spectrum regulation policies. Towards this end, This project aims at establishing a new cross-disciplinary field that is at the interface of wireless networks and financial mathematics. The results will lead to more efficient use of the available spectrum by reducing spectrum wastage and fairness in pricing of wireless subscribers, and also help formulate governmental spectrum management and regulation policies. The results will be disseminated through publications in premier journals and conferences, and interactions with collaborators in the wireless industry.
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