Award Abstract # 1147838
Reconfigurable Antenna-based Enhancement of Dynamic Spectrum Access Algorithms

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: DREXEL UNIVERSITY
Initial Amendment Date: August 30, 2011
Latest Amendment Date: August 30, 2011
Award Number: 1147838
Award Instrument: Standard Grant
Program Manager: wenjing lou
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2011
End Date: August 31, 2014 (Estimated)
Total Intended Award Amount: $340,000.00
Total Awarded Amount to Date: $340,000.00
Funds Obligated to Date: FY 2011 = $340,000.00
History of Investigator:
  • Kapil Dandekar (Principal Investigator)
    dandekar@drexel.edu
  • Steven Weber (Co-Principal Investigator)
Recipient Sponsored Research Office: Drexel University
3141 CHESTNUT ST
PHILADELPHIA
PA  US  19104-2875
(215)895-6342
Sponsor Congressional District: 03
Primary Place of Performance: Drexel University
3141 Chestnut St
PHILADELPHIA
PA  US  19104-2737
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): XF3XM9642N96
Parent UEI:
NSF Program(s): Special Projects - CNS
Primary Program Source: 01001112DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7363
Program Element Code(s): 171400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 20)
Aki Hakkarainen, Janis Werner, K.R. Dandekar, Mikko Valkama "Widely-Linear Beamforming and RF Impairment Suppression in Massive Antenna Arrays" Journal of Communications and Networks (Special Issue: Massive MIMO) , 2013
Hakkarainen, Aki and Werner, Janis and Dandekar, Kapil and Valkama, Mikko "Interference Suppression with Antenna Arrays in OFDM Systems under Transceiver I/Q Imbalance" Proceedings of the 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2014 , 2014 https://doi.org/10.4108/icst.crowncom.2014.255187 Citation Details
Hakkarainen, Aki and Werner, Janis and Dandekar, Kapil R. and Valkama, Mikko "Precoded massive MU-MIMO uplink transmission under transceiver I/Q imbalance" 2014 IEEE Globecom Workshops, GC Wkshps 2014 , 2014 https://doi.org/10.1109/GLOCOMW.2014.7063451 Citation Details
Hakkarainen, Aki and Werner, Janis and Gulati, Nikhil and Patron, Damiano and Pfeil, Doug and Paaso, Henna and Mammela, Aarne and Dandekar, Kapil and Valkama, Mikko "Recongurable Antenna Based DoA Estimation and Localization in Cognitive Radios: Low Complexity Algorithms and Practical Measurements" Proceedings of the 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2014 , 2014 https://doi.org/10.4108/icst.crowncom.2014.255730 Citation Details
Hakkarainen, Aki and Werner, Janis and Renfors, Markku and Dandekar, Kapil and Valkama, Mikko "RF-Aware Widely-Linear MMSE Beamforming" ISWCS 2013; The Tenth International Symposium on Wireless Communication Systems , 2013 https://doi.org/ Citation Details
Measel, Ryan and Lester, Christopher S. and Bucci, Donald J. and Wanuga, Kevin and Tait, Gregory and Primerano, Richard and Dandekar, Kapil R. and Kam, Moshe "An Empirical Study on the Performance of Wireless OFDM Communications in Highly Reverberant Environments" IEEE Transactions on Wireless Communications , v.15 , 2016 https://doi.org/10.1109/TWC.2016.2546879 Citation Details
Paaso, H. and Mammela, A. and Patron, D. and Dandekar, K.R. "Modified MUSIC algorithm for doa estimation using CRLH leaky-wave antennas" Proceedings of the 2013 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013 , 2013 https://doi.org/10.1109/CROWNCom.2013.6636812 Citation Details
Paaso, Henna and Gulati, Nikhil and Patron, Damiano and Hakkarainen, Aki and Werner, Janis and Dandekar, Kapil R. and Valkama, Mikko and Mammela, Aarne "DoA Estimation Using Compact CRLH Leaky-Wave Antennas: Novel Algorithms and Measured Performance" IEEE Transactions on Antennas and Propagation , v.65 , 2017 https://doi.org/10.1109/TAP.2017.2724584 Citation Details
Paaso, Henna and Hakkarainen, Aki and Gulati, Nikhil and Patron, Damiano and Dandekar, Kapil R. and Valkama, Mikko and Mämmelä, Aarne "Experimental Results of Novel DoA Estimation Algorithms for Compact Reconfigurable Antennas" International Journal of Antennas and Propagation , v.2017 , 2017 https://doi.org/10.1155/2017/1613638 Citation Details
Paaso, Henna and Mammela, Aarne and Patron, Damiano and Dandekar, Kapil R. "DoA estimation through modified unitary MUSIC algorithm for CRLH leaky-wave antennas" IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC , 2013 https://doi.org/10.1109/PIMRC.2013.6666152 Citation Details
Patron, Damiano and Dandekar, Kapil R. "Planar reconfigurable antenna with integrated switching control circuitry" 8th European Conference on Antennas and Propagation, EuCAP 2014 , 2014 https://doi.org/10.1109/EuCAP.2014.6902391 Citation Details
(Showing: 1 - 10 of 20)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Cognitive radio is a wireless communications technique that allocates scarce radio spectrum intelligently to increase the reliability and spectral efficiency of data transmission. Cognitive radio builds upon the flexibility in physical layer algorithm implementation delivered by Software Defined Radio (SDR) to include assessment of, and adaptation to, the surrounding radio environment. 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 focused 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 the overlying communication link and network. Towards these goals, the project followed the proposed thrusts to achieve the following outcomes.

Reconfigurable Antenna Hardware Design for Cognitive DSA – For this project, we utilized the spatial filtering capabilities of our current reconfigurable antennas to greatly enhance existing DSA approaches. Based upon the results of algorithm development and field testing, we designed new reconfigurable antennas that provide not only flexibility in radiation pattern for spatial filtering, but also frequency agility. Furthermore, prior research in the area of beamforming network nodes ignore practical antenna size and directionality constraints that our technology uniquely addressed. To this end, the Reconfigurable Alford Loop was developed that provided wideband and multiband functionality, while providing direction and omnidirectional modes of operation. This was an important development for DSA providing the flexibility of an omnidirectional antenna with the degree of freedom to choose directional spatial filtering modes as well.

Enhancement of DSA Algorithms to Leverage Reconfigurable Antennas – The physical layer flexibility of reconfigurable antennas was integrated with dynamic spectrum access algorithms at the medium access layer to form a novel PHY/MAC cross–layer protocol stack. Fundamentally, the design challenge and opportunity afforded by integrated antenna configuration and spectrum access is that intelligent joint selection of antenna mode and frequency band so as to optimize a relevant performance metric. The project team has developed online learning techniques for spectrum sensing and antenna control, DoA estimation using reconfigurable antennas, and done extensive analysis of beamwidth and orientation error on network.

Testbed Implementation of the Proposed Techniques – With the additional support of the University of Oulu, Tampere University of Technology, and VTT Technical Research Centre of Finland in Oulu, the Drexel SDC Testbed has been extended for use as an Enhanced Reconfigurable Antenna Testbed. To this end, the team extended the functionality of LE-WARP to include reconfigurable antenna control, implemented antenna control and enabled some cognitive antenna techniques in Drexel’s SDC platform. Additionally the collaborative effort integrated the Nutaq Radio420 frontend with the Drexel SDC to provide a frequency agile transceiver to compliment the flexible SOFDM PHY on the SDC.

In addition to the research outcomes of the project, additional broader impact outcomes were accomplished. Through the collaboration with the University of Oulu enabled by this project, Drexel’s College of Engineering leveraged this relationship to establish a new program known as iSTAR. Drexel’s STAR (Students Tackling Advanced Research) program allows first-year students to participate in faculty-mentored research, scholarship, or creative work during the summer after their freshman year. The iSTAR program extends this by allowing STAR scholars t...

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