| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | September 18, 2015 |
| Latest Amendment Date: | September 18, 2015 |
| Award Number: | 1559696 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Monisha Ghosh
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | September 1, 2015 |
| End Date: | February 28, 2018 (Estimated) |
| Total Intended Award Amount: | $250,932.00 |
| Total Awarded Amount to Date: | $250,932.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
1664 N VIRGINIA ST # 285 RENO NV US 89557-0001 (775)784-4040 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1664 North Virginia Street Reno NV US 89557-0001 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Special Projects - CNS |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
To meet the rapidly growing demand of mobile data traffic, regulatory agencies around the world are actively working on policies and regulations for dynamic spectrum access that are mutually beneficial to the cognitive devices and the licensed spectrum users of the under-utilized spectrum. One of the primary contributors to the explosive mobile traffic growth is the rapid proliferation of mobile social applications. One key observation is that, since mobile networks are designed and deployed to meet the social needs of humans, connections and behaviors of people in the social domain shape the ways in which they access mobile services. With this insight, this project advocates a social-aware approach to enable shared spectrum access, cooperative spectrum sensing and intelligent device-to-device (D2D) communications, by leveraging the social structure among mobile users. Such social trust-based cooperation among mobile devices enables self-organizing networking, and has the potential to achieve substantial gains in spectral efficiency and lead to significant increases in network capacity. By combining theoretical studies with practical applications, this project aims to integrate social elements into the design of cooperative mobile networks, thereby accelerating the evolution of future mobile networks.
Under the common theme of exploiting the social structure for cooperative mobile networking, this project is organized into four well-coordinated thrusts: 1) Thrust I focuses on social recommendation-aided dynamic spectrum access by exploring the collective wisdom of secondary users for distributed spectrum sharing; 2) Thrust II investigates social-enhanced D2D communications; 3) Thrust III designs and analyzes collaboration protocols among secondary users; 4) Thrust IV studies social assisted information dissemination in mobile networks. The proposed research is expected to enable a paradigm shift from traditional approaches to social-aware approaches to enable shared spectrum access, cooperative spectrum sensing and intelligent device-to-device (D2D) communications, via exploiting the social structure among mobile users. The broader impacts also include educational elements, such as promoting diversity by providing research opportunities to woman and underrepresented students.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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.
One of the primary contributors to the explosive mobile traffic growth is the rapid proliferation of mobile social applications. To meet the rapidly growing demand of mobile data traffic, this project advocates a social-aware approach to enable shared spectrum access, cooperative spectrum sensing and intelligent device-to-device (D2D) communications, by leveraging the social structure among mobile users into the design of cooperative mobile networks.
Under the common theme of exploiting the social structure for cooperative mobile networking, the PI and participants have completed the proposed research tasks. Research findings include new algorithms for social recommendation-aided dynamic spectrum access, new algorithms for database assisted spectrum access, new algorithms for large-scale spectrum profiling, and new algorithms for mobile crowdsensing. Results have been published in top-tier conferences and journals including IEEE INFOCOM and IEEE/ACM Transactions on Networking.
The research findings will enable a paradigm shift from traditional approaches to social-aware approaches to enable shared spectrum access, cooperative spectrum sensing and intelligent D2D communications, and result in a significant impact on the society at large. Another major accomplishment of this project is to integrate research with educational activities and train graduate students and a postdoc research for the workforce in the wireless industry. The postdoc researcher joined AT&T Labs.
Last Modified: 04/12/2018
Modified by: Lei Yang
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