| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | September 19, 2009 |
| Latest Amendment Date: | September 19, 2009 |
| Award Number: | 0932410 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Sankar Basu
sabasu@nsf.gov (703)292-7843 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | September 15, 2009 |
| End Date: | August 31, 2013 (Estimated) |
| Total Intended Award Amount: | $750,000.00 |
| Total Awarded Amount to Date: | $750,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
1608 4TH ST STE 201 BERKELEY CA US 94710-1749 (510)643-3891 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
1608 4TH ST STE 201 BERKELEY CA US 94710-1749 |
| 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): | Information Technology Researc |
| 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
The objective of this research is to develop the theoretical
foundations for understanding implicit and explicit
communication within cyber-physical systems. The approach is
two-fold: (a) developing new information-theoretic tools to
reveal the essential nature of implicit communication in a
manner analogous to (and compatible with) classical network
information theory; (b) viewing the wireless ecosystem itself
as a cyber-physical system in which spectrum is the physical
substrate that is manipulated by heterogeneous interacting
cyber-systems that must be certified to meet safety and
performance objectives.
The intellectual merit of this project comes from the
transformative technical approaches being developed. The key to
understanding implicit communication is a conceptual
breakthrough in attacking the unsolved 40-year-old Witsenhausen
counterexample by using an approximate-optimality paradigm
combined with new ideas from sphere-packing and cognitive radio
channels. These techniques open up radically new mathematical
avenues to attack distributed-control problems that have long
been considered fundamentally intractable. They guide the
development of nonlinear control strategies that are provably
orders-of-magnitude better than the best linear strategies. The
keys to understanding explicit communication in cyber-physical
systems are new approaches to active learning, detection, and
estimation in distributed environments that combine worst-case
and probabilistic elements.
Beyond the many diverse applications (the Internet, the smart
grid, intelligent transportation, etc.) of heterogeneous
cyber-physical systems themselves, this research reaches out to
wireless policy: allowing the principled formulation of
government regulations for next-generation networks. Graduate
students (including female ones) and postdoctoral scholars will
be trained and research results incorporated into both the
undergraduate and graduate curricula.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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