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.

该项目以研究网络体系结构和抽象为中心，用于在干扰限制的制度中进行的无线网络的系统级优化。核心思想是协调网络传输，以使它们与流量和环境的特征“对齐”。该研究利用数据挖掘技术来产生粗略的流量抽象，捕获时空多样性的交通和环境的显着特征。这些抽象的流量负载驱动了跨相邻基站的协调传输计划的时间尺度系统级别优化，同时允许通过实现单个用户流量和动态干扰的实现驱动的速度更快（本地）动态调度。该研究借鉴了自适应，鲁棒和随机优化的工具，用于分析和算法开发。研究议程是独一无二的，因为它开发了实现单个用户动态耦合以及从测量和抽象用户人口流量/环境到网络协调的问题所需的集成视图和基础设计原则。初步结果表明，这种方法有可能大大减少干扰和平均功率使用情况，同时增加覆盖范围和服务均匀性。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。 U.T.奥斯汀的无线网络和通信集团（WNCG）与行业的牢固联系为这项工作提供了更大影响的具体机会。此外，该项目还包括基于教育的计划，包括课程开发，研究生培训以及本科生的参与，以综合的方式使他们接触研究和行业。