Power Analysis and Optimization Methodologies for Wireless Embedded Nanochips

无线嵌入式纳米芯片的功耗分析和优化方法

• 批准号: 9912414
• 负责人: Sujit Dey
• 金额: $ 28.4万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9912414&HistoricalAwards=false
• 关键词: Power; Analysis; Optimization; Methodologies; Wireless

This research develops advanced methodologies and tools to enable the design of low-energy embedded system-on-nanochips for future wireless appliances. A system-level power analysis technique is developed which considers the effects of wireless protocols, architectural choices, and nanometer technologies on the energy consumption of the hardware, software, and RF components of a wireless embedded nanochip. Since adaptive on-chip communication is fundamental to such heterogeneous component-based nanochips, analysis and optimization techniques are developed for low-energy on-chip communication architectures and protocols. Static and adaptive analysis and management techniques are developed to extend the battery life of the mobile systems. The techniques are being applied to the design of an adaptive single-chip radio that is being developed to enable wireless multimedia communications.

这项研究开发了先进的方法和工具，以设计用于未来无线电器的低能嵌入式系统纳米芯。开发了一种系统级功率分析技术，该技术考虑了无线嵌入式纳米芯片的硬件，软件和RF组件的能量消耗的无线协议，架构选择和纳米技术的影响。由于自适应片上的交流是此类基于异质组件的纳米芯片的基础，因此为低能芯片交流架构和协议开发了分析和优化技术。开发了静态和自适应分析和管理技术，以延长移动系统的电池寿命。这些技术正在应用于自适应单芯片无线电的设计，该无线电台正在开发以实现无线多媒体通信。