
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | July 9, 2010 |
Latest Amendment Date: | August 13, 2013 |
Award Number: | 1012700 |
Award Instrument: | Continuing Grant |
Program Manager: |
Thyagarajan Nandagopal
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | July 1, 2010 |
End Date: | September 30, 2015 (Estimated) |
Total Intended Award Amount: | $330,000.00 |
Total Awarded Amount to Date: | $330,000.00 |
Funds Obligated to Date: |
FY 2011 = $50,000.00 FY 2012 = $130,000.00 FY 2013 = $100,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
1960 KENNY RD COLUMBUS OH US 43210-1016 (614)688-8735 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1960 KENNY RD COLUMBUS OH US 43210-1016 |
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, Networking Technology and Syst |
Primary Program Source: |
01001112DB NSF RESEARCH & RELATED ACTIVIT 01001213DB NSF RESEARCH & RELATED ACTIVIT 01001314DB NSF RESEARCH & RELATED ACTIVIT |
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
Current wireless network architectures are based on interference avoidance, which advocates eliminating simultaneous transmissions to avoid collisions at the receivers. However, this design principle is largely an artifact of design simplification. In contrast, if neighboring nodes pool their resources, and cooperate in their signal transmissions, the network could turn interference to its advantage for potentially many-fold increase in network capacity. This cooperative viewpoint necessitates revisiting networking research?s foundations, which are being addressed with a two-part strategy:
1. Network-centric Cooperative Signal Design: Cooperative signaling injects ?network? into signal design, thereby breaking conventional boundaries. Nodes have to understand how their transmissions will be perceived, decoded, suppressed, cancelled, enhanced or forwarded by other nodes. This fundamental shift in signal design (from conventional point-to-point PHYsical layer) is being addressed by developing capacity bounds, distributed codes and messaging protocols for scalable cooperation.
2. Signal-centric Cooperative Network Design: The converse to network-inspired signal design is ?signal-centric? network design. Network resource allocation and control have to be cognizant of signal-level interactions between groups of cooperating nodes,? breaking conventional design boundaries in network protocol design. This foundational change is leading to completely new problem formulations in scheduling, routing and protocol design to harness cooperative signal-scale gains.
The project goals are nothing short of rewriting networking fundamentals. By questioning the basic design paradigms, we expect the project will impact research in multiple communities. Our experiment codes and measurements will be open-sourced as community asset. We will also establish a unique inter-university education program including joint advising and collaborative experiments.
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.
The overall goal of this project was to re-evaluate our fundamental networking principles in order to obtain significant gains in wireless network performance. All current architectures (e.g., Wi-Fi, cellular, mesh) are based on interference avoidance, which advocates eliminating simultaneous transmissions to avoid collisions at the receivers. However, this elegant principle is largely an artifact of design simplification. In contrast, if neighboring nodes pool their resources, and cooperate in their signal transmissions, the network could turn interference to its advantage for potentially many-fold increase in network capacity.
In this multi-university highly collaborative project, the project produced several highly innovative outcomes. First, use of unlicensed bands to improve the capacity of licensed bands, was proposed and studied to have multi-fold increase in capacity. The use goes beyond the traditional off-loading or device-to-device communications. Second, the project was the first one to design and demonstrate highly efficient access protocols for mm-Wave communications. Third, the project developed modulation, codes and protocols to enable distributed computing as a network primitive. Fourth, the team developed analytical techniques and protocols to maximize the performance in wireless networks with real-life constraints and opportunities such as imperfect channel information, predictive traffic, and location information. Finally, full-duplex communications was experimentally demonstrated, both for single and multiple antenna systems. The team also developed analytical models for explaining the performance of full-duplex systems.
The project produced tens of journal and conference publications, many involving faculty and student participants from collaborating universities. The team also released open-source codebase for full-duplex on WARP platform, that has been used by researchers worldwide. Working collaboratively with our industry partners, many of the proposed designs, the innovations are being included in next-generation wireless standards. Finally, the project provided research opportunity for many undergraduate and graduate students, including students from underrepresented populations.
Last Modified: 12/10/2015
Modified by: Ness Shroff
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