Collaborative Research: Overcoming Technological Challenges for Spectrum Trading

合作研究：克服频谱交易的技术挑战

• 批准号: 1443894
• 负责人: Geoffrey Ye Li
• 金额: $ 45.5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1443894&HistoricalAwards=false
• 关键词: Collaborative; Research; Overcoming; Technological; Challenges

The dynamic and uneven wireless network traffic load at different time instants and geographical locations has led to substantial underutilization of some spectrum bands while severely crowding others. This project investigates a number of fundamental and challenging technical issues that arise from broadband spectrum trading for achieving superior technical, economic, and social values of spectrum use. The project is an interdisciplinary research effort across mathematics and wireless network technologies. With respect to wireless technologies, this research project outcomes can significantly improve spectrum efficiency and user experience, while benefiting many real-life needs, such as public safety, telemedicine, and social services. On mathematics, the research effort will lead to the formulation of more interesting problems with real world applications and the discovery of new tools for solving such problems. As a comprehensive investigation to overcome technical challenges that arise from broadband spectrum trading, the project tasks focus on three inter-related key research directions: 1) new graph theory problems, 2) new graph-based resource allocation and utility optimization, and 3) physical layer techniques and utility design. Specifically, the project considers new problems on judicious partitions of graphs and new problems on optimal disjoint paths in weighted graphs using minimum-edge-weight path utility. New solutions and tools developed for such problems can then be applied and generalized for solving various resource allocation and utility optimization problems in broadband spectrum trading. Furthermore, the project addresses new fundamental physical layer issues that arise from spectrum trading. These implementation issues include broadband channel estimation, dynamic pilot placement, interference limited pilot power control, and low complexity broadband spectrum sensing. To establish utility functional curves and to develop means for modeling parametric effects in fine-granularity for more effective broadband spectrum trading, the project applies group-theory-based methodologies to design and carry out detailed tests and analysis in order to fine-tune effective utility functions that incorporate user experience and satisfaction. The research results are also expected to lead to strong social impacts and to provide better technical insights and effective guidelines on governmental regulatory policymaking and technological development regarding broadband spectrum trading for wireless communications.

在不同时刻和地理位置处的动态和不均匀的无线网络业务负载已经导致一些频谱带的实质性利用不足，同时严重地拥挤其他频谱带。本项目研究了宽带频谱交易中出现的一些基本的和具有挑战性的技术问题，以实现频谱使用的上级技术、经济和社会价值。该项目是一项跨学科的研究工作，涉及数学和无线网络技术。在无线技术方面，该研究项目的成果可以显著提高频谱效率和用户体验，同时有利于许多现实生活中的需求，如公共安全，远程医疗和社会服务。在数学方面，研究工作将导致制定更有趣的问题与真实的世界的应用和发现新的工具来解决这些问题。作为一项全面的研究，以克服宽带频谱交易所带来的技术挑战，项目任务集中在三个相互关联的关键研究方向：1）新的图论问题，2）新的基于图的资源分配和效用优化，以及3）物理层技术和效用设计。具体来说，该项目考虑了新的问题，明智的分区的图形和新的问题，最佳不相交的路径加权图使用最小边权重路径效用。新的解决方案和工具，开发这样的问题，然后可以应用和推广，以解决各种资源分配和效用优化问题的宽带频谱交易。此外，该项目还解决了频谱交易中出现的新的基本物理层问题。这些实现问题包括宽带信道估计、动态导频放置、干扰受限导频功率控制和低复杂度宽带频谱感测。为了建立效用函数曲线，并为更有效的宽带频谱交易开发细粒度建模参数效应的方法，该项目应用基于群论的方法来设计和进行详细的测试和分析，以微调有效的效用函数，将用户体验和满意度纳入其中。研究结果还将产生强大的社会影响，并为政府监管决策和无线通信宽带频谱交易技术发展提供更好的技术见解和有效指导。