NeTS: Small: Smart Interference Management for Wireless Internet of Things

NetS：小型：无线物联网的智能干扰管理

• 批准号: 1617634
• 负责人: Thomas Hou
• 金额: $ 40万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617634&HistoricalAwards=false
• 关键词: NeTS; Small; Smart; Interference; Management

Wireless Internet of Things (W-IoT) consists of billions of wireless devices, whose number is increasing at half a billion each year. These wireless devices have strong wireless communications and networking capabilities and have brought in huge amounts of data traffic over the airwaves. When multiple different devices are transmitting at the same time, there will be interference at the receivers, which could severely distort received signals and make them undecodable. To mitigate interference, many of the existing standards focus on interference avoidance, i.e., restricting to only one device transmitting at a time. This avoidance approach has poor throughput performance when wireless traffic volume in W-IoT becomes heavy. This project proposes a new approach to mitigate interference by exploiting advanced interference management (IM) techniques and programmability of new radio hardware. This approach has the potential to offer much higher throughput than existing methods. The success of this project will offer a revolutionary approach for IM in the W-IoT and offer new knowledge and methodology for future research on IM in W-IoT. New education materials will be developed and special programs to broaden participation by female and underrepresented students are planned through Wireless@VT summer symposium. A fundamental problem to ensure that data can be smoothly transported in the W-IoT is how to manage interference effectively. Recent advances in IM have introduced a number of new techniques to exploit interference rather than avoiding it. On a separate front, advances in field-programmable hardware and software-defined radios allow many physical and link layer algorithms to be programmable on the fly. Capitalizing on these two trends, this project investigates the feasibility of making IM techniques programmable at a mobile device so that an optimal IM algorithm can be chosen and programmed in real time based on the underlying communications scenarios. This project aims to take concrete steps to realize this vision by focusing on the following research topics: (1) gain fundamental understanding of programmable IM algorithms, (2) design innovative new IM algorithms with much improved capabilities and fewer limitations, (3) provide a roadmap for optimal deployment of programmable IM in the W-IoT. System building and experimentation are embedded into each component of this project. An array of advanced IM algorithms will be implemented on the WARP platform and Virginia Tech CORNET testbed.

无线物联网(W-IoT)由数十亿台无线设备组成，这些设备的数量每年以5亿台的速度增长。这些无线设备具有强大的无线通信和联网能力，并通过无线电波带来了大量的数据流量。当多个不同的设备同时传输时，接收器处会有干扰，这可能会严重扭曲接收的信号，使其无法解码。为了减少干扰，许多现有标准集中在干扰避免上，即一次仅限于一个设备进行传输。当W-IoT中的无线业务量变得很大时，这种避免方法的吞吐量性能较差。该项目提出了一种通过利用先进的干扰管理(IM)技术和新无线电硬件的可编程性来缓解干扰的新方法。这种方法有可能提供比现有方法高得多的吞吐量。该项目的成功将为W-IoT中的IM提供一种革命性的方法，并为未来W-IoT中IM的研究提供新的知识和方法论。将开发新的教育材料，并计划通过Wireless@VT暑期研讨会扩大女性和代表性不足学生的参与。如何有效地管理干扰是保证数据在W-IoT中顺利传输的一个根本问题。IM的最新进展引入了许多新技术来利用干扰而不是避免干扰。在另一条战线上，现场可编程硬件和软件定义无线电的进步使许多物理层和链路层算法可以动态编程。利用这两个趋势，该项目调查了使IM技术在移动设备上可编程的可行性，以便可以基于底层通信场景实时选择和编程最佳IM算法。本项目旨在通过以下研究主题采取具体步骤来实现这一愿景：(1)对可编程IM算法有基本的了解，(2)设计性能大大提高、限制更少的创新的新IM算法，(3)为W-IoT中可编程IM的优化部署提供路线图。系统搭建和实验都嵌入到本项目的各个组成部分中。一系列先进的IM算法将在WARP平台和弗吉尼亚理工大学Cornet试验台上实施。