| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | August 14, 2007 |
| Latest Amendment Date: | August 14, 2007 |
| Award Number: | 0721532 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Min Song
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | September 1, 2007 |
| End Date: | August 31, 2010 (Estimated) |
| Total Intended Award Amount: | $200,000.00 |
| Total Awarded Amount to Date: | $200,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
110 INNER CAMPUS DR AUSTIN TX US 78712-1139 (512)471-6424 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
110 INNER CAMPUS DR AUSTIN TX US 78712-1139 |
| 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): | Networking Technology and Syst |
| 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
This project centers on investigating network architectures and abstractions for system-level optimization of wireless networks operating in an interference-limited regime. The central idea is to coordinate network transmissions so they are 'aligned' with the character of the traffic and environment.
The research leverages data mining techniques to generate coarse traffic abstractions, capturing the salient characteristics of the spatio-temporally-diverse traffic and environment. These abstract traffic loads drive a slower time-scale system-level optimization of coordinated transmission schedules across neighboring base stations, while allowing faster (local) dynamic scheduling driven by the realizations of individual user traffic and dynamic interference. The research draws on tools from adaptive, robust and stochastic optimization for both analysis and algorithmic development. The research agenda is unique in that it develops an integrated view and foundational design principles needed to realize the coupling of individual user dynamics with problems ranging from measuring and abstracting user population traffic/environment to network coordination. Preliminary results suggest that this approach has the potential to enable substantial reductions in interference and average power usage, while increasing coverage and service uniformity.
This work can drive beneficial changes in current and future wireless technologies and standards. U.T. Austin's Wireless Networking and Communications Group's (WNCG) strong ties with industry provide concrete opportunities for this work to have a broader impact. In addition, this project includes education-based initiatives, including curriculum development, training of graduate students, and involvement of undergraduates, exposing them to research and industry in an integrated manner.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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