U.S.-Korea Cooperative Research on Performance Analysis Methodology for the Future Wireless Communicatin Systems

9727221 Trivedi该奖项提供资金，以允许杜克大学计算机科学系Kishor S.Trivedi博士与韩国首尔大学计算机科学与工程系教授MyungWhan Choi进行为期24个月的关于未来无线通信系统性能分析方法的合作研究计划。该合作研究项目的目标是开发新的绩效分析方法，包括随机奖励网(SRN)模型、高级建模技术和模型规范语言。将开发适用于各种动态信道分配(DCA)方案和切换过程的新的SRN模型。这些高级建模技术将处理非马尔科夫行为和因被建模系统的复杂性而产生的大量模型。高效的切换对于蜂窝移动通信系统是非常重要的，因为对于高容量系统，切换次数随着小区尺寸的减小而增加。这类系统的设计者需要准确和及时的性能分析，以便有效地设计和实现未来的无线通信网络。所请求的支持将允许提交人的研究小组与韩国的一组研究人员互动，这些研究人员有类似的研究目标。这两个研究小组在业绩分析方面都有很长的研究历史，并将从通过初级和高级研究人员交流进行协作的能力中受益匪浅。这项研究为美国国家科学基金会赠款编号为正在进行的项目增加了一个国际层面。EEC-9714965，它支持美国国家科学基金会在杜克大学的工业/大学合作研究中心--高级计算和通信中心。该项目与美韩合作科学计划的目标相关，该计划寻求通过交流科学信息、想法、技能和技术以及通过在互利问题上的合作来提高美国和韩国科学家和工程师之间的合作水平。该项目将在一个重要的研究领域为两名美国研究生提供国际培训和经验。韩国的参与得到了韩国科学与工程基金会(KOSEF)的支持。***

9727221 Trivedi This award provides funds to permit Dr. Kishor S. Trivedi, Department of Computer Science, Duke University, to pursue with Professor MyungWhan Choi, Department of Computer Science and Engineering, Sogang University, Seoul, Korea, for 24 months, a program of cooperative research on performance analysis methodology for the future wireless communication system. The objective of this collaborative research project is to develop new performance analysis methodology including Stochastic Reward Net (SRN) models, advanced modeling techniques, and a model specification language. New SRN models which are suitable for various dynamic channel allocation (DCA) schemes and handoff processes will be developed. These advanced modeling techniques will handle both non-Markovian behavior and largeness of models arising from the complexity of the systems being modeled. Efficient handoff is very important for cellular mobile communication systems because the number of handoffs increases as the cell size become smaller for high capacity systems. Designers of such systems need accurate and timely performance analysis for the efficient design and implementation of future wireless communication networks. The requested support will allow the proposer's research group to interact with a group of researchers in Korea, who have similar research goals. Both research groups have a long history of research in performance analysis and will greatly benefit from the ability to collaborate through the exchange of junior and senior researchers. This research adds an international dimension to an ongoing project under NSF Grant No. EEC-9714965 which supports the Center for Advanced Computing and Communication, an NSF Industry/University Cooperative Research Center, at Duke University. This project is relevant to the objectives of the U.S.-Korea Cooperative Scie nce Program which seeks to increase the level of cooperation between U.S. and Korean scientists and engineers through the exchange of scientific information, ideas, skills, and techniques and through collaboration on problems of mutual benefit. This project will provide international training and experience for two U.S. graduate students in an important area of research. Korean participation is supported by the Korea Science and Engineering Foundation (KOSEF). ***