NeTS-WN: Network Architecture and Abstractions for Environment and Traffic Aware System-Level Optimization of Wireless Systems

NeTS-WN：无线系统环境和流量感知系统级优化的网络架构和抽象

• 批准号: 0721532
• 负责人: Gustavo de Veciana
• 金额: $ 20万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0721532&HistoricalAwards=false
• 关键词: NeTS; WN; Network; Architecture; Abstractions

This project centers on investigating network architectures and abstractions for system-level optimization of wireless networks operating in an interference-limited regime. The central idea is to coordinate network transmissions so they are 'aligned' with the character of the traffic and environment.The research leverages data mining techniques to generate coarse traffic abstractions, capturing the salient characteristics of the spatio-temporally-diverse traffic and environment. These abstract traffic loads drive a slower time-scale system-level optimization of coordinated transmission schedules across neighboring base stations, while allowing faster (local) dynamic scheduling driven by the realizations of individual user traffic and dynamic interference. The research draws on tools from adaptive, robust and stochastic optimization for both analysis and algorithmic development. The research agenda is unique in that it develops an integrated view and foundational design principles needed to realize the coupling of individual user dynamics with problems ranging from measuring and abstracting user population traffic/environment to network coordination. Preliminary results suggest that this approach has the potential to enable substantial reductions in interference and average power usage, while increasing coverage and service uniformity.This work can drive beneficial changes in current and future wireless technologies and standards. U.T. Austin's Wireless Networking and Communications Group's (WNCG) strong ties with industry provide concrete opportunities for this work to have a broader impact. In addition, this project includes education-based initiatives, including curriculum development, training of graduate students, and involvement of undergraduates, exposing them to research and industry in an integrated manner.

这个项目的中心是研究网络架构和抽象的系统级优化的无线网络在干扰限制制度。其核心思想是协调网络传输，使它们与交通和环境的特征“对齐”，该研究利用数据挖掘技术生成粗略的交通抽象，捕捉时空多样的交通和环境的显着特征。这些抽象业务负载驱动跨相邻基站的协调传输调度的较慢时间尺度系统级优化，同时允许由个体用户业务和动态干扰的实现驱动的更快（本地）动态调度。该研究利用自适应，鲁棒和随机优化的工具进行分析和算法开发。研究议程是独一无二的，它开发了一个综合的观点和基本的设计原则，需要实现耦合的个人用户动态的问题，从测量和抽象的用户人口流量/环境网络协调。初步结果表明，这种方法有可能实现干扰和平均功率使用的大幅减少，同时增加覆盖范围和服务的一致性。这项工作可以推动当前和未来的无线技术和标准的有益变化。德州大学奥斯汀的无线网络和通信集团（WNCG）与行业的紧密联系为这项工作提供了更广泛的影响。此外，该项目还包括以教育为基础的举措，包括课程编制、研究生培训和本科生参与，使他们以综合方式接触研究和工业。