Next Generation Software: A Collaborative Problem Solving Environment for Modeling of Broadband Wireless Communication Systems

EIA-9974960，Rappaport，TheodoreVirginia Polytechnic InstituteNext Generation Software：A Collaborative Problem Solving Environment for Modeling of Broadband Wireless Communication Systems.该项目提出开发一个协作问题解决环境，以支持设计和分析未来无线通信系统的工程师。 宽带无线系统对于下一代互联网和未来几代便携式多媒体通信器的成功至关重要。 然而，支持这些环境的适当的设计和分析工具并不存在。 该项目将汇集来自VT的移动的和便携式无线电研究组和问题解决环境组的研究人员，共同合作构建一个全面的设计和支持系统，即无线通信特定站点系统模拟器。 该项目旨在支持解决宽带无线通信系统中的基本问题，不仅用于无线系统的设计，还用于验证新的无线通信建模方法。 它也被期望作为开发协作问题解决环境的试验平台。开发自动执行和分析无线网络模拟的方法B.实现基于知识的推荐系统，用于选择特定的模型。使用更抽象的仿真结果来进行高保真仿真，以最大限度地减少仿真工作量。将推荐系统集成到更大的设计优化循环E中。开发可视化技术以辅助模拟和分析。为协同设计实现一个集成的软件环境G.验证和测试上面开发的方法和工具

EIA-9974960, Rappaport, TheodoreVirginia Polytechnic InstituteNext Generation Software: A Collaborative Problem Solving Environment for Modeling of Broadband Wireless Communication Systems.This project proposes to develop a collaborative problem-solving environment to support engineers who will design and analyze the wireless communication systems of the future. Broadband wireless systems are essential for the success of the Next generation Internet and future generations of portable multimedia communicators. However adequate design and analysis tools for supporting these environments do not exist. This project will pull together researchers from the Mobile and Portable radio research Group and the Problem-Solving Environments group at VT to collaborate in building a comprehensive design and support system, the Site-Specific System Simulator for Wireless Communications. This project is aimed to support fundamental problem solving in broadband wireless communications systems, and will be used not only for the design of wireless systems, but also validation of new wireless communications modeling approaches. It is also expected to serve as a testbed for developing collaborative problem solving environments.Among the research milestones proposed here include: A. Develop methods to automatically perform and analyze simulations of wireless networksB. Implement knowledge-based recommender system for selecting specific modelsC. Fuse high-fidelity simulation with more abstract simulation results to minimize simulation effortD. Integrate the recommender system in a larger design optimization loop E. Develop visualization techniques to aid the simulations and analysis F. Implement an integrated software environment for collaborative designG. Validate and test the methods and tools developed above