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NeTS: Small: Enhanced Interference Alignment for Networks using Reconfigurable Antennas

NeTS：小型：使用可重新配置天线增强网络干扰对准

基本信息

批准号：
1422964
负责人：
Kapil Dandekar
金额：
$ 35万
依托单位：
Drexel University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-10-01 至 2018-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1422964&HistoricalAwards=false
关键词：
NeTS Small Enhanced Interference Alignment

项目摘要

Interference between wireless devices will become a serious bottleneck for future wireless networks asthey become more pervasive in our everyday lives. The traditional approach of dealing with interferenceis to share limited resources, such as spectrum, among many users such that a given resource is used byonly one user at a time. The recent notion of interference alignment (IA) proposes a new paradigm whereseveral users can simultaneously send information by sharing the same resource. This new approachresults in increased network capacity where every user gets half the interference-free throughput. In thisresearch, the project team will leverage reconfigurable antenna systems to design and enhanceinterference alignment techniques for multi-user wireless networks. Reconfigurable antennas are capableof electronically switching between different radiation patterns (or 'states') in response to the needs ofthe overlying communication link and network. In this regard, reconfigurable antenna systems represent asignificant new degree of freedom for developing interference management techniques. The project teamproposes new ways of using the antennas to enable more practical solutions for future multi-usernetworks and also provide a software defined radio platform to enable further research within thecommunity.While the vast majority of existing research in this area considers an antenna to be a monolithic 'blackbox', the project team will develop and demonstrate new compact form-factor electronicallyreconfigurable antenna technologies that are capable of providing pattern agility. This additional degreeof freedom allows for the dynamic selection of radiation patterns to seamlessly integrate with, and extendinterference alignment techniques. The first objective is to demonstrate how electrically reconfigurableantennas can greatly enhance the sum capacity achieved via distributed interference alignment, especiallyat low SNR, by improving the subspace design. The second objective is to demonstrate how blindinterference alignment can be practically achieved by combining antenna state selection algorithms withmultiple physical layer transmission schemes. The additional channel diversity provided byreconfigurable antennas comes with an overhead to acquire information about the state of all the channels,revealing a need for a strategy to select the optimal state and most importantly an ability to learn thechanges in the channel state in order to adapt. With these goals in mind, the project team will utilizeonline learning based on multi-armed bandit theory to design algorithms to control and adapt the state of areconfigurable antenna system. For the multi-user network, the team will analyze the cost of learningunder an unknown statistical model of the channel and compare it with the oracle with full priorknowledge. Finally, the team will focus on implementing the developed interference alignment algorithmson Drexel's Software Defined Communications (SDC) testbed. The SDC testbed is based upon a ScalableOFDM physical layer, which operates close to many different standards. The project team will developnew blocks for precoding and decoding, cross-transmitter symbol-timing synchronization, as well asimplement more efficient synchronization techniques that require less data overhead. The proposedcombination of the Drexel SDC testbed with IA algorithms will result in a product that has high relevanceto the industrial and academic research communities. Special effort will be made to not only disseminateresearch results through relevant conference and journal publication, but also through testbed technologydemonstrations. In order to extend the outreach of the proposed research beyond the research community,high school students and teachers, specifically under-represented populations, will be invited toparticipate in the PIs research laboratories through pre-existing educational programs. The developedtestbed will be used to develop demonstrations and laboratory-based course modules.

随着无线网络在我们日常生活中的普及，无线设备间的干扰将成为未来无线网络的严重瓶颈。传统的处理干扰的方法是在多个用户之间共享有限的资源，例如频谱，使得给定的资源在同一时间仅由一个用户使用。干扰对齐（interference alignment，IA）的概念提出了一种新的模式，即多个用户可以通过共享相同的资源同时发送信息。这种新方法可以提高网络容量，使每个用户都能获得一半的无干扰吞吐量。在这项研究中，项目团队将利用可重构天线系统来设计和增强多用户无线网络的干扰对齐技术。可重构天线能够在不同的辐射模式（或“状态”）之间进行电子切换，以响应覆盖通信链路和网络的需求。在这方面，可重构天线系统代表了一个重要的新的自由度，发展干扰管理技术。该项目团队提出了使用天线的新方法，为未来的多用户网络提供更实用的解决方案，并提供了一个软件定义的无线电平台，以便在城市中进行进一步的研究。尽管该领域的绝大多数现有研究认为天线是一个单片的“黑匣子”，该项目小组将开发和演示新的紧凑型电子可重构天线技术，能够提供方向图灵活性。这种额外的自由度允许动态选择辐射模式，以无缝集成和扩展干涉对准技术。第一个目标是演示如何电可重构天线可以大大提高通过分布式干扰对齐实现的总容量，特别是在低SNR下，通过改进子空间设计。第二个目标是演示如何通过结合天线状态选择算法和多物理层传输方案来实现盲干扰对齐。可重构天线提供的额外信道分集带来了获取所有信道状态信息的开销，这表明需要一种选择最佳状态的策略，最重要的是需要一种学习信道状态变化的能力。考虑到这些目标，项目团队将利用基于多臂强盗理论的在线学习来设计算法，以控制和适应可配置天线系统的状态。对于多用户网络，该团队将在未知的信道统计模型下分析学习成本，并将其与具有完整先验知识的预言机进行比较。最后，该团队将专注于在Drexel的软件定义通信（SDC）测试平台上实施已开发的干扰对齐算法。SDC测试平台基于ScalableOFDM物理层，其操作接近于许多不同的标准。该项目团队将开发用于预编码和解码、跨发射机符号定时同步的新模块，以及需要更少数据开销的更高效的同步技术。Drexel SDC测试平台与IA算法的拟议组合将产生与工业和学术研究社区高度相关的产品。将作出特别努力，不仅通过相关会议和期刊出版物传播研究成果，而且还通过试验台技术演示。为了将拟议研究的范围扩大到研究界之外，高中学生和教师，特别是代表性不足的人群，将被邀请通过预先存在的教育计划参加PI研究实验室。开发的测试平台将用于开发演示和基于实验室的课程模块。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

mm Wave Antenna Gain Switching to Mitigate Indoor Blockage

毫米波天线增益切换可缓解室内阻塞

DOI：
10.1109/apusncursinrsm.2018.8608384
发表时间：
2018
期刊：
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting
影响因子：
0
作者：
Bshara, Oday;Liu, Yuqiao;Tekin, Ibrahim;Taskin, Baris;Dandekar, Kapil R.
通讯作者：
Dandekar, Kapil R.

Experimental evaluation of a reconfigurable antenna system for blind interference alignment

DOI：
10.1109/wamicon.2016.7483855
发表时间：
2016-03
期刊：
2016 IEEE 17th Annual Wireless and Microwave Technology Conference (WAMICON)
影响因子：
0
作者：
Simon Begashaw;James Chacko;Nikhil Gulati;D. Nguyen;Nagarajan Kandasamy;K. Dandekar
通讯作者：
Simon Begashaw;James Chacko;Nikhil Gulati;D. Nguyen;Nagarajan Kandasamy;K. Dandekar

Secure and robust symmetric key generation using physical layer techniques under various wireless environments