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: 1161596
• 负责人: Ashutosh Sabharwal
• 金额: $ 37.6万
• 依托单位: William Marsh Rice University
• 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 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1161596&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辅助的蜂窝网络似乎是实现未来无线网络所需的多重容量的最佳解决方案之一。但是，FEMTO辅助的蜂窝系统的信息体系结构与当前计划和中央管理的蜂窝结构有很大不同。在此项目中，将解决信息体系结构以获取网络状态信息的设计以及最佳的NSI使用。该项目被组织成有关网络感知物理层（PHY）编码方案，网络协议和算法利用高级物理及其建筑原型的三个共生研究推力。第一个推力利用了无线网络的确定性模型中的最新创新，并开发了新颖的物理层合作编码和解码方案，这些方案以延迟，不一致和错误的NSI运行。第二个推力建立在新的物理层编码方案上，以设计网络安排算法以解决性能问题。最后，第三个推力利用了可编程的无线电，并研究了协议的实施挑战。 FEM辅助蜂窝网络基础设计的项目目标将对行业实践产生重大影响。 PI将通过其既定的行业会员计划促进技术转移。广泛的教育和外展活动还将补充研究议程，包括将研究结果融入课程，促进代表性不足和本科生的人群，并与中/高中社区互动，以提高工程和数学的兴趣水平。