NeTS: Medium: Collaborative Research: Information Architectures for Femto-Aided Cellular Networks

NeTS：媒介：协作研究：毫微微辅助蜂窝网络的信息架构

• 批准号: 1161868
• 负责人: Sanjay Shakkottai
• 金额: $ 37.6万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1161868&HistoricalAwards=false
• 关键词: NeTS; Medium; Collaborative; Research; Information

Femto-aided cellular networks appear to be one the best solutions to achieve multi-fold capacity needed for future wireless networks. However, Femto-aided cellular systems have an information architecture that is very different from current planned and centrally managed cellular architecture. In this project, both the design of information architecture to acquire network state information and the optimal use of the resulting NSI will be addressed. The project is organized into three symbiotic research thrusts on network-aware physical-layer (PHY) coding schemes, network protocols and algorithms leveraging advanced PHYs, and their architectural prototypes. The first thrust utilizes recent innovations in deterministic models of wireless networks and develops novel physical-layer cooperative encoding and decoding schemes that operate with delayed, inconsistent, and erroneous NSI. The second thrust builds on the new physical-layer coding schemes to design network-scheduling algorithms to address performance issues. Finally, the third thrust utilizes the WARP programmable radios and studies implementation challenges of the protocols. The project goals of foundational design for Femto-aided cellular networks will have significant impact on industry practice. The PIs will facilitate technology transfer through their established industry affiliate program. A broad range of education and outreach activities will also complement the research agenda, including integration of research findings into the courses, promoting underrepresented and undergraduate populations, and engaging with the middle/high school community to raise the level of interest in engineering and mathematics.

femto辅助蜂窝网络似乎是实现未来无线网络所需的多倍容量的最佳解决方案之一。然而，femto辅助蜂窝系统具有与当前计划和集中管理的蜂窝体系结构非常不同的信息体系结构。在本项目中，将讨论获取网络状态信息的信息体系结构设计以及所产生的NSI的最佳使用。该项目分为三个共生研究重点：网络感知物理层（PHY）编码方案、利用先进物理层的网络协议和算法，以及它们的架构原型。第一个重点是利用无线网络确定性模型的最新创新，开发新的物理层协作编码和解码方案，这些方案可以处理延迟、不一致和错误的NSI。第二个推力建立在新的物理层编码方案上，设计网络调度算法来解决性能问题。最后，第三部分利用了WARP可编程无线电，并研究了协议的实现挑战。femto辅助蜂窝网络基础设计的项目目标将对工业实践产生重大影响。pi将通过其已建立的行业附属计划促进技术转让。广泛的教育和推广活动也将补充研究议程，包括将研究成果纳入课程，促进未被充分代表的本科生群体，并与初中/高中社区合作，以提高对工程和数学的兴趣水平。