Collaborative Research: Enabling Real-Time Interference Alignment - From Theory to Practice

该项目的目标是使用可重构天线的概念在实践中实现干扰对齐，并通过这样做，使人们能够更深入地了解困扰当今无线系统的“干扰屏障”。干扰对齐是一种新的、新颖的传输策略，其导致吞吐量与网络中的节点数量成线性增益。预计计划中的研究将对下一代无线系统的运行方式以及它们如何在多个领域访问频谱产生重大影响，包括公共安全，车间通信和工业物联网（IoT）。研究议程还将与加州大学欧文分校和得克萨斯大学奥斯汀分校的教育和外联活动紧密结合，并有代表性不足的少数群体、研究生、和本科生以及少数重点研究经验的本科生计划在得克萨斯大学。这项工作最初开始与演示，（在发射机处没有信道状态知识）实际上可以实时地在硬件中实现。此外，对于2 × 2X信道设置，实际上实现了理论上干扰对准所承诺的增益。以此为基础，它继续提出在各种更一般的设置中设计、表征和开发基于可重构天线的干扰对准解决方案，包括我们具有部分/延迟/混合/分布式和/或交替信道状态知识的那些设置。在各种平台上的实现补充了这一努力。主要目标是提高无线网络的频谱效率。

The goal of this project is to enable interference alignment in practice using the concept of reconfigurable antennas, and by doing so, enable a much deeper understanding of the "interference barrier" that plagues wireless systems today. Interference alignment is a new, novel transmission strategy that results in linear gain in throughput with the number of nodes in the network. The planned research is expected to have a significant impact on the manner in which next generation wireless systems operate and how they access spectrum in multiple domains, including public safety, inter-vehicular communication and Industrial Internet of Things (IoT). The research agenda will also be tightly integrated with education and outreach activities at University of California-Irvine and University of Texas-Austin, with direct involvement of underrepresented minorities, graduate, and undergraduate students as well as a minority focused Research Experiences for Undergraduates program at University of Texas.The effort initially begins with a demonstration that blind interference alignment (with no channel state knowledge at the transmitter) is indeed implementable in hardware, in real-time . Moreover, the gains promised by interference alignment in theory are indeed realized in practice for a 2 by 2 X channel setup. Using this as the foundation, it goes on to propose to design, characterize and develop reconfigurable-antenna-based interference alignment solutions in a variety of more general settings, including those where we have partial/delayed/mixed/distributed and/or alternating channel state knowledge. The effort is complementedwith implementations on a variety of platforms. The primary goal is to improve spectral efficiency of wireless networks.