SpecEES: Intelligent Energy Efficient Spectrum Access for Wireless IoT

SpecEES：无线物联网的智能节能频谱接入

基本信息

批准号：
1731675
负责人：
Jiang Linda Xie
金额：
$ 60万
依托单位：
University of North Carolina at Charlotte
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-15 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1731675&HistoricalAwards=false
关键词：
SpecEES Intelligent Energy Efficient Spectrum

项目摘要

The future Internet of Things (IoT) will support numerous types of applications producing overwhelming data traffic with highly different Quality-of-Service (QoS) requirements, creating challenges in terms of spectrum scarcity, and prohibitive energy consumption of billions of devices. Cognitive radio (CR) is a promising technology for IoT not only because of its dynamic spectrum access capability, but also due to its potential of providing diverse QoS and energy efficiencies by delivering different types of traffic using different bands. Although dynamic spectrum access to multiple bands can bring various benefits to the IoT, it also introduces significant challenges. This research offers transformative advances in overall network energy efficiencies, by leveraging order-of-magnitude energy efficiencies of low-frequency bands, novel heterogeneous battery management, and spectrum access methods designed to take advantage of these two new advances. This research is truly interdisciplinary covering integrating advances in circuits/hardware design, device battery management, and synergistic energy-efficient networking and spectrum access. This research will generate innovative techniques to serve numerous applications of IoT technologies, e.g., smart cities and smart homes, mobile health, and intelligent transportation systems. It will also greatly advance the understanding of energy efficiency of IoT devices and networks. The research objective of this proposal is to design, analyze, and evaluate transformative intelligent energy-efficient spectrum access technologies for wireless IoT. This research is the first to systematically address the energy efficiency issue in wireless IoT spectrum access through intelligent battery system management of IoT devices and innovative wideband enhancement for electrically-small antennas to unlock order-of-magnitude energy efficiencies of low- frequency bands, and where new intelligent energy-efficient channel rendezvous algorithms are designed to leverage these advantages for IoT spectrum access. The proposed project consists of three main research thrusts: (1) energy-efficient channel rendezvous for enhanced spectrum access with adaptive power management; (2) cognitive battery system to maximize the energy efficiency of each IoT device by optimally integrating heterogeneous batteries in each device and dynamically matching the power consumption and battery characteristics; and (3) digital non-Foster methods to unlock energy efficiencies of low-frequency bands. This project also integrates research findings into related undergraduate and graduate courses and diversity support.

未来的物联网（IoT）将支持多种类型的应用程序，这些应用程序具有高度不同的服务质量（QoS）要求的压倒性数据流量，从而在光谱稀缺方面造成了挑战，并为数十亿个设备提供了过度的能源消耗。认知无线电（CR）是物联网的一项有前途的技术，不仅是因为其动态频谱访问能力，而且还因为它通过使用不同的频段提供不同类型的流量来提供不同类型的流量来提供各种QoS和能源效率。尽管动态频谱访问多个频段可以为物联网带来各种好处，但它也带来了重大挑战。这项研究通过利用低频频段，新型的异质电池管理和旨在利用这两个新进步的光谱访问方法来利用刻板级的能源效率来提供整体网络能源效率的变革性进步。这项研究是真正的跨学科，涵盖了电路/硬件设计，设备电池管理以及协同节能网络和频谱访问的整合进步。这项研究将生成创新的技术，以服务于物联网技术的众多应用，例如智能城市和智能家居，移动健康和智能运输系统。这也将大大提高对物联网设备和网络的能源效率的理解。该建议的研究目标是设计，分析和评估无线物联网的变革性智能节能频谱访问技术。这项研究是第一个通过物联网设备的智能电池系统管理和创新的宽带增强电池系统来解决无线IoT光谱访问中的能效问题的一项，以解锁低频频段的高级能量能量效率，以及在新的智能能源能效应的能源有效的频道频道的访问范围内设计的范围，以便在这些范围内设计了这些范围。拟议的项目由三个主要研究推力组成：（1）通过自适应电源管理增强频谱访问的节能通道会合；（2）认知电池系统通过最佳整合每个设备中的异质电池并动态匹配功耗和电池特性来最大化每个物联网设备的能源效率；（3）释放低频带的能量效率的数字非恒星方法。该项目还将研究结果纳入相关的本科和研究生课程以及多样性支持。