NeTS-NECO: Some Fundamental Problems for Performance Study of Opportunistic Spectrum Utilization

NetS-NECO：建议的研究活动摘要：这项工作将开发，设计和实现有效的无线网络协议，以更好地利用频谱，并研究一些基本的性能界限的网络与机会主义的频谱利用。本文将研究次用户自私时频谱感知博弈和频谱接入博弈的纳什均衡点。本文将设计稳定的分布式链路调度和路由方法，以最大化吞吐量，并推导出一些必要和/或充分条件可达到的流量。这项工作还将使用SOP为无线网络开发易于处理和有见地的指标和模型;为给定的一组模型获得这些指标的性能上限和下限;定义应用程序和网络之间的协商以选择操作点。智力优点：这项工作不仅确定了未探索的重要问题（即，寻找频谱感知和接入博弈的均衡，研究具有SOP的网络的容量限制），并提供解决它们的方法，而且还针对现有的有趣问题提出了新的方法。通过建模和分析次级用户的交互，这项工作可以改善分布式无线电资源管理算法的设计，特别是对表征算法的稳态，收敛性和稳定性。更广泛的影响：今天，新的无线技术正在努力争取带宽。频谱的动态共享可以为系统提供一定的灵活性。从短期和长期来看，我们的社会将从SOP共享的引入中获得巨大的利益。这些工作将极大地提高网络的性能，对有效利用网络中稀缺的频谱资源，进而对社会产生广泛的影响。该项目预计将提高整体无线频谱效率;使无线设备或系统能够以自主和分布式方式充分利用频谱资源;刺激新的应用程序，以充分利用认知无线电实现更好的QoS;并提供一个很好的工具，用于教育学生实践经验。

NeTS-NECO: Some Fundamental Problems for Performance Study of Opportunistic Spectrum Utilization Summary of Proposed Research Activities: This work will develop, design, and implement efficient wireless network protocols for better spectrum utilization and study some fundamental performance bounds for networks with opportunistic spectrum utilization. This work will study the Nash Equilibrium points of the spectrum sensing game and spectrum access game when secondary users are selfish. This work will design stable distributed link scheduling and routing methods to maximize throughput, and derive some necessary and/or sufficient conditions on attainable flows. This work will also develop tractable and insightful metrics and models for wireless networks using SOPs; obtain upper and lower performance bounds for these metrics for a given set of models; define the negotiation between application and network for picking the operating point. Intellectual Merit: This work not only identifies unexplored important problems (i.e., finding equilibriums of spectrum sensing and access games, studying the capacity limits of networks with SOPs) and offers methods to solve them, but also proposes novel approaches to existing interesting problems. By modeling and analyzing the interactions of secondary users, this work can improve the design of distributed radio resource management algorithms with particular interest towards characterizing the algorithms' steady-state, convergence, and stability properties. Broader Impact: Today new wireless technologies are struggling for bandwidth. Dynamic sharing of spectrum can provide a system some flexibility. Our society will gain substantial benefits, both in the short run and in the long run, from introduction of SOP sharing. This work will greatly improve the network performance, and have broad impact on the efficient usage of scarce spectrum resource in networks and furthermore, our society. This project is expected to improve the overall wireless spectral efficiency; enable wireless devices or systems to make full use of spectral resources in an autonomous and distributed manner; stimulate new applications to take full advantage of cognitive radios for better QoS; and provide an excellent vehicle for educating students with hands-on experience.