Reconfigurable Antenna-based Enhancement of Dynamic Spectrum Access Algorithms

基于可重构天线的动态频谱接入算法增强

• 批准号: 1147838
• 负责人: Kapil Dandekar
• 金额: $ 34万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147838&HistoricalAwards=false
• 关键词: Reconfigurable; Antenna; based; Enhancement; Dynamic

While there is a tremendous amount of research in the algorithmic and protocol aspects of cognitive radios, very little attention is given to the antennas used in cognitive links. This project focuses on the enhancement of cognitive dynamic spectrum access (DSA) techniques with electrically reconfigurable antennas that are capable of dynamically adjusting their radiation patterns and operating frequency in response to the needs of overlying communication link and network. Based upon the results of field testing, new reconfigurable antennas are being designed that provide not only flexibility in radiation pattern, but also frequency agility. The design and performance of the cross?layer control stack is being evaluated for identification of the optimal control policy for secondary radios seeking to maximize their throughput. With the additional support of our collaborators in Finland, the Drexel SDC Testbed is being extended to provide real-time implementations of the proposed enhanced DSA algorithms.This research is enabled through the reconfigurable leaky wave metamaterial antenna technology, developed at Drexel University. The highly adaptive frequency agility and spatial filtering capabilities of this antenna will be used to develop new DSA algorithms to leverage these degrees of freedom. Enhanced performance will be demonstrated in terms of the user capacity of the cognitive radio network and increased throughput of secondary cognitive radio users. These antennas and control algorithms will be field tested and demonstrated using a FGPA-based SDR platform built to evaluate reconfigurable antenna-enhanced DSA algorithms.

虽然在认知无线电的算法和协议方面有大量的研究，但很少关注认知链路中使用的天线。该项目的重点是增强认知动态频谱接入（DSA）技术与电可重构天线，能够动态调整其辐射模式和工作频率，以响应覆盖通信链路和网络的需求。根据现场测试的结果，正在设计新的可重构天线，不仅提供辐射方向图的灵活性，而且还提供频率捷变。十字架的设计和性能？正在评估层控制栈，以识别用于寻求最大化其吞吐量的次级无线电的最优控制策略。在我们芬兰合作者的额外支持下，Drexel SDC测试床正在扩展，以提供所提出的增强DSA算法的实时实现。这项研究通过Drexel大学开发的可重构漏波超材料天线技术实现。该天线的高度自适应频率捷变和空间滤波能力将用于开发新的DSA算法，以利用这些自由度。 增强的性能将在认知无线电网络的用户容量和次级认知无线电用户的吞吐量增加方面得到证明。 这些天线和控制算法将使用基于FGPA的SDR平台进行现场测试和演示，该平台旨在评估可重构天线增强DSA算法。

项目成果

Precoded massive MU-MIMO uplink transmission under transceiver I/Q imbalance

• DOI: 10.1109/glocomw.2014.7063451
• 发表时间: 2014-12
• 期刊: 2014 IEEE Globecom Workshops (GC Wkshps)
• 作者: Aki Hakkarainen;J. Werner;K. Dandekar;M. Valkama

DoA estimation through modified unitary MUSIC algorithm for CRLH leaky-wave antennas

• DOI: 10.1109/pimrc.2013.6666152
• 发表时间: 2013-12
• 期刊: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
• 作者: H. Paaso;A. Mämmelä;D. Patron;K. Dandekar

Online learning for spectrum sensing and reconfigurable antenna control

• DOI: 10.4108/icst.crowncom.2014.255737
• 发表时间: 2014-06
• 期刊: 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM)
• 作者: Kevin Wanuga;Nikhil Gulati;H. Saarnisaari;K. Dandekar

An Empirical Study on the Performance of Wireless OFDM Communications in Highly Reverberant Environments

• DOI: 10.1109/twc.2016.2546879
• 发表时间: 2016-03
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: R. Measel;Christopher S. Lester;Donald J. Bucci;Kevin Wanuga;G. Tait;Richard Primerano;K. Dandekar;M. Kam

Optical Control of Reconfigurable Antennas and Application to a Novel Pattern-Reconfigurable Planar Design

• DOI: 10.1109/jlt.2014.2321406
• 发表时间: 2014-10
• 期刊: Journal of Lightwave Technology
• 影响因子: 4.7
• 作者: D. Patron;A. Daryoush;K. Dandekar