Cognitive Radio
The large population of connected devices imposes a great demand on spectrum resource, which is now crowded with most frequency segments being statically and exclusively allocated to specific types of wireless devices. On the other hand, at any given time and place, less than 10 percent of the allocated spectrum is being utilized. Cognitive Radio is the next generation technology option further increase availability of spectrum by using these unused spectrum (white spaces/ spectrum holes) efficiently, opportunistically, and dynamically without causing any unacceptable interference to the licensed primary user. While the cognitive sensing has been investigated in recent years, there is a need to develop sophisticated methods that are reliable at low SNRs. There has been relatively less work on upper layer issues, such as the effects of distributed transmit power control, packet error rate and quality of service guarantee, as well as device level issues, such as energy constraints. Further, studies on the usage of cognitive radios for mobile medical health-care support are quite nascent. This project envisages a comprehensive approach to the design issues related to architectural planning, physical layer alternatives and their impact, medium access protocols and network layer processing including dynamic spectrum coordination, energy efficiency, individual and group mobility support, and broadband service provisioning on low-power flexible cognitive radio platform. In view of an urgent need for technologies for national-level mobile health-care support, and the fact that there has been no significant ongoing effort in the country on such technology development, application areas in this research project would fill this gap.
MENTORS:
- Dr. R Chandramouli, NSF SAVI: Institute for Cognitive Networking, New Jersey
- Dr. Mainak Chatterjee, University of Central Florida, Orlando
- Dr. Chitrabrata Ghosh, Intel Corporation, Santa Clara
- Prof. Sridhar Varadharajan, IIIT Bangalore
- Dr. R Ramjee, Microsoft, Bangalore
COLLABORATORS:
- ISI Kolkata
- SAMEER Kolkata
Title: An elective course on "Cognitive Radio Networks"
Institutes: NERIST-ITANAGAR
Remarks: Avg. enrolment per offering:18
Institutes: LNMIIT-JAIPUR
Remarks: Application Number:201811010849
Filing Date: March 23, 2018
Remarks: Date: 26th Sept. 2016
Remarks: Participants: 100 (Industry, ECE/CSE faculty, PhD, Masters, and Bachelors students)
Date: 29th May, 2014
Remarks: Participants:50 (EE/CSE faculty, PhD, Masters, and Bachelors students)
Date: Feb. 2017
Remarks: Participants:20 (EE faculty, PhD and Masters students)
Date: Dec. 2016
Remarks: Participants:30
Date: Sep. 2016
2 sessions by Prof. Abhirup Dasbarman and by Prof. Swades De
Remarks: Participants:50 (ECE faculty, research students, DRDO researchers)
Date: Oct. 2015
Remarks: Participants: at least 60 in each institute
Date: 2015 and 2016
Institutes: IIT-DEL
Remarks: Participants:70
Date: 16th June 2015
Institutes: LNMIIT-JAIPUR
Remarks: Participants:30 (ECE faculty, PhD, Masters, and Bachelors students)
Date: 2015
Remarks: Participants: 30
Date: 17th March 2016
Remarks: Participants: 30
Date: 26th to 29th September 2016
Remarks: Participants: 20 (DET/Networks faculty and PhD students)
Date: Jun. 2014
Remarks: Participants:30 (CSE faculty, PhD, Masters, and Bachelors students)
Date: 8-9 April, 2016
3 lectures by Prof. RanjanGangopadhyay, Prof. AbhirupDasbarman, and Prof. Swades De
Remarks: Participants:30 (ECE faculty, PhD and Masters students)
Date: Nov. 2016
Remarks: Participants: 10 each (INTEL researchers, other invited speakers in the individual sessions)
[two separate tracks: Communications: Prof. Shankar Prakriya; Low power systems: Prof. Swades De]
Date: Oct. 2016
Remarks: Participants:30 (ECE faculty, PhD and Masters students)
Date: Oct. 2016
Remarks: Participants:10 (TCS researchers)
Date: Jan 2015
Remarks: Collaboration Area:SDR platforms for cognitive radio experiments
Remarks: Collaboration Area:Joint work on theoretical mobility management issues
Title: SAMEER KolkataRemarks: Collaboration Area:Microwave measurements at high frequencies
Remarks: Collaboration Area: Cognitive radio, resulted in an IEEE journal article
Title: RF-SpectroPi (Product Domain: Hardware)
Remarks: Year: 2018
Title: Associate Editor, IEEE Transactions on Vehicular TechnologyRemarks: Year: 2018
Title: Member of COMSNETS AssociationRemarks: Year:2017
Title: Associate Editor, IEEE Wireless Communications LettersRemarks: Year: 2017
Title: Senior Editor, IEEE Communications LettersRemarks: Year: 2016
Title: Associate Editor, IETE Technical Review JournalRemarks: Year: 2016
Shankar Prakriya(IIT-DEL), Principal Investigator
Swades De(IIT-DEL), ITRA Faculty 
Chetna Singhal(IIT-DEL), Student| 1. | A jammer-resilient cognitive radio network using evolutionary game theory |
| 2. | Generalized Statistical Spectrum Occupancy Modeling and its Learning based Predictive Validation |
| 3. | A Pricing-Based Rate Allocation Game in TVWS Backhaul and Access Link for Rural Broadband |
| 4. | Spectrum Occupancy Prediction for Realistic Traffic Scenarios: Time Series versus Learning based Models |
| 5. | Improving data rate of indoor users through time sharing access of femtocell service in underlay heterogeneous network |
| 6. | Learning Based Predictive Dynamic Spectrum Access Framework: A Practical Perspective for Enhanced QoE of Secondary Users |
| 7. | Modelling and mitigating spectrum sensing non-cooperation attack in cognitive radio network |