Multi-Layer Integrated Resource Management for Mobile Wireless Systems

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本研究的目标是设计和原型移动的无线硬件，在广泛的性能范围内保持高能效。 该方法是系统地解决无线硬件的多个层中的低效率。 无线硬件通常被优化以提供峰值性能;随着所实现的性能降低，能量效率急剧降低。 关键的方法是设计可扩展的硬件，并根据瓶颈明智地扩展它。关于智力价值，这个项目的目标是四个工程贡献。 首先，无线业务的资源需求进行建模，以设计自适应策略，共同优化速率自适应和功率管理。 其次，开发了无线检测架构，该架构可以基于数据速率和功率要求适当地扩展，并与无线系统中的更高级别集成。 第三，开发了可配置的解码器架构，其以细粒度的方式动态地调整解码器。 第四，利用Rice WARP平台，将所提出的技术实现为一个功能完整的无线硬件系统，以评估各种无线应用下的解决方案。在更广泛的影响方面，与健康科学家在预防保健方面的多学科合作具有为社会需求做出贡献的潜力。 所收集的数据、研究评估平台和教育内容将开放来源并上网。 与业界领导者（包括德州仪器和诺基亚）的持续合作有助于将技术转移到未来的移动的无线硬件中。 这项研究的结果被纳入超大规模集成电路设计和移动的计算的本科课程。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The objective of this research is to design and prototype mobile wireless hardware that retains high energy efficiency across a broad performance range. The approach is to systematically address the inefficiency in multiple layers of wireless hardware. Wireless hardware is conventionally optimized for delivering peak performance; the energy efficiency reduces drastically as the achieved performance decreases. The key methodology is to design scalable hardware and judiciously scale it according to the bottleneck.With respect to intellectual merit, this project targets four engineering contributions. First, the resource demands of wireless traffic are modeled to design adaptive policies that jointly optimize rate adaption and power management. Second, wireless detection architectures are developed that can scale properly based on the data rate and power requirements, and integrate with the higher levels in the wireless system. Third, configurable decoder architectures are developed that dynamically adjust the decoder in a fine-grain manner. Fourth, using the Rice WARP platform, the proposed technologies are implemented into a complete functional wireless hardware system to evaluate the solutions under a wide range of wireless applications.With respect to broader impact, the multidisciplinary collaboration with health scientists in preventive health care has the potential for contribution to societal needs. The collected data, the research evaluation platform, and educational content are to be made open-source and on-line. Ongoing collaboration with industry leaders, including Texas Instruments and Nokia, assist the transfer of technologies into future mobile wireless hardware. The results of this research are incorporated into undergraduate courses in VLSI design and mobile computing.