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Award Abstract #1265166

EAGER: CDRIVE: Cognitive Radio Enabled Spectrum Aware Intelligent Vehicular Networks

NSF Org: CNS
Division Of Computer and Network Systems
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Initial Amendment Date: January 29, 2013
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Latest Amendment Date: May 9, 2014
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Award Number: 1265166
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Award Instrument: Standard Grant
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Program Manager: Wenjing Lou
CNS Division Of Computer and Network Systems
CSE Direct For Computer & Info Scie & Enginr
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Start Date: February 1, 2013
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End Date: January 31, 2016 (Estimated)
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Awarded Amount to Date: $293,974.00
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Investigator(s): Kaushik Chowdhury krc@ece.neu.edu (Principal Investigator)
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Sponsor: Northeastern University
360 HUNTINGTON AVE
BOSTON, MA 02115-5005 (617)373-2508
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NSF Program(s): RES IN NETWORKING TECH & SYS,
SPECIAL PROJECTS - CISE
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Program Reference Code(s): 7916, 7363, 9251
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Program Element Code(s): 7363, 1714

ABSTRACT

Transferring high bandwidth content is a challenge in vehicular and mobile networks that are limited by spectrum scarcity in the unlicensed bands, short connection times, and the cost of cellular data plans. These observations motivate the use of frequency agile cognitive radios as part of the project called CDRIVE (for Cognitive raDio enabled spectRum-aware Intelligent Vehicular nEtworks). CDRIVE involves the use of theoretical analysis tools and exploration of correlation functions. A major contribution lies in creating a new ns-2 based simulation tool that combines spectrum-related functions in a cognitive radio within a vehicular environment. CDRIVE makes advances towards developing a holistic framework for vehicular cognitive radios networks for allocating roadside base station locations that have spectrum database access capability, enhancing the science of collecting spectrum measurements under different topographical conditions, surrounding urban structures and speeds, and devising a new rate control mechanism that anticipates network and correlated road congestions, and intermittent disruptions due to spectrum outages. CDRIVE will yield insights on integrating cognitive radios with spectrum databases, especially for mobile networks, which are now mandated by the FCC. It will provide the theory and practical validation of the best mobility-aware spectrum-sensing strategies, and tightly couple the external environment with the sensing method. It will also shape future safety-related messaging in vehicles, support real-time telemetry analysis, and allow high-bandwidth communication for emergency response personnel.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Abdulla Al-Ali, Yifan Sun, Marco Di Felice, Jarkko Paavola, Kaushik Chowdhury. "Accessing Spectrum Databases using Interference Alignment in Vehicular Cognitive Radio Networks," IEEE Transactions of Vehicular Technology, v.64, 2015.

Y. Sun and K. R. Chowdhury. "Enabling Emergency Communication through Cognitive Radio Vehicular Network," IEEE Communications Magazine, v.52, 2014.

A. Al-Ali, K. R. Chowdhury, M. DiFelice, and J. Paavola. "Querying Spectrum Databases and Improved Sensing for Vehicular Cognitive Radio Networks," IEEE ICC, Sydney, Australia, 2014.

A. Al-Ali, Y. Sun, M. DiFelice, J. Paavola, and K. R. Chowdhury. "Accessing Spectrum Databases using Interference Alignment in Vehicular Cognitive Radio Networks," IEEE Transactions on Vehicular Technology, v.64, 2015.

Abdulla Al-Ali and K. R. Chowdhury. "TFRC-CR: An Equation-based Transport Protocol for Cognitive Radio Networks," Workshop on Computing, Networking and Communications (CNC) with ICNC, San Diego, California, 2013.

F. Mapar and K. R. Chowdhury. "Predictive Decision-Making for Vehicular Cognitive Radio Networks through Hidden Markov Models," IEEE ICC, Sydney, Australia, 2014.

K. R. Chowdhury, M. DiFelice, and I. F. Akyildiz. "TCP CRAHN: A Transport Control Protocol for Cognitive Radio Ad Hoc Networks," IEEE Trans. on Mobile Computing, v.12, 2013, p. 790.

Y. Sun and K. R. Chowdhury. "Enabling Emergency Communication through Cognitive Radio Vehicular Network," IEEE Communications Magazine, v.52, 2014.

 

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