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）由数十亿个无线设备组成，其数量每年增加了五十亿个。这些无线设备具有强大的无线通信和网络功能，并在电波上引起了大量数据流量。当多个不同的设备同时传输时，接收器将有干扰，这可能会严重扭曲接收的信号并使其无法验证。 为了减轻干扰，许多现有标准都集中在避免干扰上，即一次仅限于一个设备一次传输。 当W-iot中的无线交通量变得沉重时，这种回避方法的吞吐量性能很差。 该项目提出了一种新的方法来通过利用高级干扰管理（IM）技术和新无线电硬件的可编程性来减轻干扰。 这种方法有可能提供比现有方法更高的吞吐量。 该项目的成功将为IM中的IM提供革命性的方法，并为IM IM中的IM研究提供新的知识和方法。 将开发新的教育材料，并计划通过无线@VT夏季研讨会来扩大女性和代表性不足的学生的参与。确保数据可以在W-IOT中顺利运输的一个基本问题是如何有效地管理干扰。 IM的最新进展引入了许多新技术来利用干扰而不是避免这种干扰。在另一个方面，现场可编程硬件和软件定义的无线电的进步允许许多物理和链接层算法即时进行编程。 该项目利用了这两个趋势，研究了在移动设备上可以编程的IM技术的可行性，以便可以根据基础通信方案实时选择最佳的IM算法。该项目旨在通过关注以下研究主题来采取具体步骤来实现这一愿景：（1）获得对可编程IM算法的基本理解，（2）设计创新的新的IM算法，具有更高的改进功能和较少的限制，（3）为W-iot提供了可编程可编程的路线图。系统构建和实验嵌入到该项目的每个组件中。 将在Warp平台和Virginia Tech Cornet Testbend上实现一系列高级IM算法。