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

9727221 Trivedi该奖项将资助杜克大学计算机科学系Kishor S. Trivedi博士与韩国首尔西江大学计算机科学与工程系myunghwan Choi教授进行为期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。这个合作研究项目的目标是开发新的性能分析方法，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SRN模型。这些先进的建模技术将处理非马尔可夫行为和由于建模系统的复杂性而产生的大型模型。高效的切换对于蜂窝移动通信系统非常重要，因为对于高容量系统，随着小区尺寸的减小，切换的数量也会增加。这些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。申请的支持将允许申请人的研究小组与具有类似研究目标的韩国研究人员小组进行互动。两个研究小组在性能分析方面都有悠久的研究历史，通过初级和高级研究人员的交流，将大大受益于合作的能力。这项研究为一个正在进行的项目增加了一个国际维度。EEC-9714965支持杜克大学NSF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项目的目标相关，该项目旨在通过交流科学信息、思想、技能和技术以及在互利问题上的合作，提高美韩科学家和工程师之间的合作水平。该项目将为两名美国研究生在一个重要的研究领域提供国际培训和经验。韩国的参与得到了韩国科学工程财团（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). ***