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

协作研究：实现实时干扰对准 - 从理论到实践

• 批准号: 1731384
• 负责人: Syed Jafar
• 金额: $ 25万
• 依托单位: University of California-Irvine
• 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: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1731384&HistoricalAwards=false
• 关键词: Collaborative; Research; Enabling; Real; Time

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 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.

该项目的目标是利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当今困扰无线系统的“干扰屏障”。干扰对齐是一种新颖的传输策略，可实现吞吐量随网络节点数量的线性增益。计划中的研究预计将对下一代无线系统的运行方式以及它们如何访问多个领域的频谱产生重大影响，包括公共安全、车辆间通信和工业物联网。研究议程还将与教育紧密结合加州大学欧文分校和德克萨斯大学奥斯汀分校的外展活动，直接参与了代表性不足的少数族裔、研究生和本科生以及德克萨斯大学以少数族裔为重点的本科生研究经验项目。这项工作首先从演示开始那种盲目的干扰对齐（发送器处没有信道状态知识）确实可以在硬件中实时实现。此外，理论上干扰对齐所承诺的增益实际上在 2 x 2 X 信道设置中得以实现。以此为基础，它继续建议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齐解决方案，包括我们具有部分/延迟/混合/分布式和/或交替信道状态的设置知识。这项工作得到了各种平台上的实施的补充。主要目标是提高无线网络的频谱效率。

项目成果

On the Capacity of Locally Decodable Codes

论本地可解码代码的容量

• DOI: 10.1109/tit.2020.3014973
• 发表时间: 2020-10
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Sun, Hua;Jafar, Syed Ali
• 通讯作者: Jafar, Syed Ali

Cross Subspace Alignment and the Asymptotic Capacity of $X$ -Secure $T$ -Private Information Retrieval

跨子空间对齐和$X$的渐进能力 -安全$T$ -隐私信息检索

• DOI: 10.1109/tit.2019.2916079
• 发表时间: 2018-08-22
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Zhuqing Jia;Hua Sun;S. Jafar
• 通讯作者: S. Jafar

TDMA is Optimal for All-Unicast DoF Region of TIM if and only if Topology is Chordal Bipartite

当且仅当拓扑为弦二分时，TDMA 对于 TIM 的全单播 DoF 区域是最佳的

• DOI: 10.1109/tit.2018.2795019
• 发表时间: 2018-03
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Yi, Xinping;Sun, Hua;Jafar, Syed Ali;Gesbert, David
• 通讯作者: Gesbert, David

Multilevel Topological Interference Management: A TIM-TIN Perspective

多级拓扑干扰管理：TIM-TIN 视角

• DOI: 10.1109/tcomm.2021.3102623
• 发表时间: 2021-08
• 期刊: IEEE Transactions on Communications
• 影响因子: 8.3
• 作者: Geng, Chunhua;Sun, Hua;Jafar, Syed A.
• 通讯作者: Jafar, Syed A.

Distributed Interference Alignment for K-user Interference Channels via Deep Learning

通过深度学习实现 K 用户干扰通道的分布式干扰对齐

• DOI: 10.1109/isit45174.2021.9517735
• 发表时间: 2021-07
• 期刊: IEEE International Symposium on Information Theory (ISIT
• 作者: Mishra, Rajesh K;Chahine, Karl;Kim, Hyeji;Jafar, Syed;Vishwanath, Sriram
• 通讯作者: Vishwanath, Sriram