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，产生大量数据流量，且服务质量 (QoS) 要求差异很大，从而在频谱稀缺和数十亿设备的能耗方面带来挑战。认知无线电 (CR) 是一种很有前景的物联网技术，不仅因为其动态频谱接入能力，还因为其通过使用不同频段传输不同类型的流量来提供多样化 QoS 和能源效率的潜力。尽管对多个频段的动态频谱访问可以给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段的数量级能源效率、新颖的异构电池管理以及旨在利用这两项新进展的频谱访问方法，在整体网络能源效率方面提供了革命性的进步。这项研究是真正的跨学科研究，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方面的进步。这项研究将产生创新技术，为物联网技术的众多应用提供服务，例如智能城市和智能家居、移动医疗和智能交通系统。它还将极大地促进对物联网设备和网络能源效率的理解。本提案的研究目标是设计、分析和评估无线物联网的变革性智能节能频谱接入技术。这项研究首次通过物联网设备的智能电池系统管理和电小型天线的创新宽带增强来系统地解决无线物联网频谱接入中的能源效率问题，以解锁低频段的数量级能源效率，以及新的智能节能通道交会算法旨在利用这些优势进行物联网频谱访问。拟议项目包括三个主要研究方向：（1）通过自适应功率管理增强频谱接入的节能信道交会；（2）认知电池系统，通过在每个设备中优化集成异构电池并动态匹配功耗和电池特性，最大化每个物联网设备的能源效率； (3) 数字非福斯特方法来解锁低频段的能源效率。该项目还将研究成果整合到相关本科生和研究生课程以及多样性支持中。