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

无线物联网（W-IoT）由数十亿个无线设备组成，其数量每年以5亿的速度增长。这些无线设备具有强大的无线通信和网络能力，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发送时，接收器处将存在干扰，这可能会严重扭曲接收到的信号并使其无法解码。 为了减轻干扰，许多现有标准集中于干扰避免，即，限制为一次仅一个设备传输。 当W-IoT中的无线业务量变得繁重时，这种避免方法具有较差的吞吐量性能。 该项目提出了一种新的方法来减轻干扰，利用先进的干扰管理（IM）技术和新的无线电硬件的可编程性。 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提供革命性的方法，并为W-IoT中IM的未来研究提供新的知识和方法。 将编制新的教育材料，并计划通过Wireless@VT夏季研讨会开展特别方案，以扩大女性和代表性不足的学生的参与。确保数据在W-IoT中顺利传输的一个根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，而不是避免干扰。在另一方面，现场可编程硬件和软件定义无线电的进步允许许多物理和链路层算法在运行中可编程。 利用这两个趋势，本项目研究的可行性，使IM技术可编程的移动终端，使一个最佳的IM算法可以选择和编程的基础上，在真实的实时通信场景。该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）获得对可编程IM算法的基本理解，（2）设计具有更高功能和更少限制的创新IM算法，（3）为W-IoT中可编程IM的最佳部署提供路线图。系统构建和实验嵌入到这个项目的每个组成部分。 一系列先进的IM算法将在WARP平台和弗吉尼亚理工大学的CORNET测试平台上实现。

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.