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EARS: Title: Energy-Efficient Millimeter-wave Communication via Adaptation and Reconfiguration

EARS：标题：通过适应和重新配置实现节能毫米波通信

基本信息

批准号：
1343324
负责人：
Jeyanandh Paramesh
金额：
$ 80万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-15 至 2018-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343324&HistoricalAwards=false
关键词：
EARS Title Energy Efficient Millimeter

项目摘要

Energy-Efficient mm-wave Communication via Adaptation and Reconfiguration Jeyanandh Paramesh and Pulkit Grover, CMUIntellectual Merit: In 2013, the number of interconnected devices exceeded the number of human beings on the planet, and the number continues to grow at a rapid pace. Applications running on these devices demand ever increasing data rates, the devices are increasingly wireless, and operate in dynamic, short-distance environments. To enable fast, reliable, and consistent access to radio spectrum, two approaches are being pursued: spectrum-sharing /cognitive radio and networks augmented with short-range millimeter-wave links. The energy consumption of mobile devices has become a bottleneck, and the energy overhead of new spectrum access approaches remains unclear. Today's systems are designed with fixed parameters that enable them to work in worst-case environments. With energy-minimization as our goal, we propose to design, analyze, and prototype system components that are able to respond and adapt dynamically to the environment in order to operate at minimal system-level energy in changing environments. These designs rely on hardware (e.g RF/mixed-signal circuits and sub-systems such as beamformers,), algorithms (e.g. equalization, decoding), and communication strategy (e.g. the error-correcting code) that are adaptable and reconfigurable in compatible ways so that they minimize system-level energy. Rigorous modeling, testing, and implementation as well as strategy design and comparison with fundamental limits on system-level power consumption will be performed.We will take a cross-disciplinary approach to investigate system-level energy minimization of mmW communication systems. To adapt to variability in the communication environment, we will design and implement adaptive and reconfigurable systems. By using fundamental limits on system performance, we will develop insights and algorithms that approach these limits. The designed systems will be used to obtain models and parameters for system-level energy-minimization which will in turn will help understand the benefits of adaptation and reconfigurability. The research outcomes will impact: second generation mmW networks in the 60 GHz band, future mmW cellular systems, data-intensive cyber-physical systems, wireless BigData processing systems etc. The Broader Impacts include: (i) training of new scientists with expertise in cross-disciplinary research; (ii) development of new courses "Advanced Communication ICs" and "The Science of Information" by synthesis of concepts in coding theory and circuits; (iii) development of course projects for undergraduate circuits classes based on implementation of error-correcting codes and equalizers; (iii) development of theoretical tools for system design and analysis that go beyond our exemplar applications, such as wired Ethernet communication; (iv) training undergraduate students in practical, theoretical, and cross-disciplinary research through internships; and (iv) focus on inclusion of under-represented minorities and women in this research.

Jeyanandh Paramesh和Pulkit Grover，CMU知识分子的优点：2013年，互联设备的数量超过了地球上的人类数量，并且这个数字还在快速增长。在这些设备上运行的应用程序需要不断提高的数据速率，这些设备越来越无线，并在动态的短距离环境中运行。为了实现对无线电频谱的快速、可靠和一致的访问，人们正在追求两种方法：频谱共享/认知无线电和利用短程毫米波链路增强的网络。移动的设备的能量消耗已经成为瓶颈，并且新的频谱接入方法的能量开销仍然不清楚。今天的系统设计有固定的参数，使他们能够在最坏的情况下工作。以能量最小化为目标，我们建议设计，分析和原型系统组件，能够响应和动态适应环境，以在不断变化的环境中以最小的系统级能量运行。这些设计依赖于硬件（例如RF/混合信号电路和子系统，如波束形成器）、算法（例如均衡、解码）和通信策略（例如纠错码），这些设计可以兼容的方式进行自适应和重新配置，从而使系统级能量最小化。严格的建模，测试和实施，以及策略设计和比较的基本限制系统级功耗将执行。我们将采取跨学科的方法来研究系统级的能量最小化的毫米波通信系统。为了适应通信环境的变化，我们将设计和实现自适应和可重构系统。通过使用系统性能的基本限制，我们将开发接近这些限制的见解和算法。所设计的系统将用于获得系统级能量最小化的模型和参数，这反过来将有助于理解适应和可重构性的好处。研究成果将影响：60 GHz频段的第二代毫米波网络，未来的毫米波蜂窝系统，数据密集型网络物理系统，无线大数据处理系统等。（ii）通过综合编码理论和电路的概念，开发新课程“高级通信集成电路”和“信息科学”;（iii）基于纠错码和均衡器的实现为本科电路类开发课程项目;（iii）开发超越我们的示例应用的系统设计和分析的理论工具，例如有线以太网通信;（iv）通过实习培训本科生进行实践、理论和跨学科研究;以及（iv）注重将代表性不足的少数民族和妇女纳入这一研究。