NSF Org:	AST Division Of Astronomical Sciences
Recipient:	RESEARCH FOUNDATION OF THE CITY UNIVERSITY OF NEW YORK
Initial Amendment Date:	August 28, 2014
Latest Amendment Date:	August 28, 2014
Award Number:	1443985
Award Instrument:	Standard Grant
Program Manager:	Glen Langston glangsto@nsf.gov  (703)292-4937 AST  Division Of Astronomical Sciences MPS  Directorate for Mathematical and Physical Sciences
Start Date:	September 1, 2014
End Date:	August 31, 2016 (Estimated)
Total Intended Award Amount:	$499,986.00
Total Awarded Amount to Date:	$499,986.00
Funds Obligated to Date:	FY 2014 = $203,017.00
History of Investigator:	Bilal Khan (Principal Investigator) bkhan2@unl.edu Ala Al-Fuqaha (Co-Principal Investigator) Kirk Dombrowski (Co-Principal Investigator)
Recipient Sponsored Research Office:	CUNY John Jay College of Criminal Justice 524 W 59TH ST NEW YORK NY  US  10019-1007 (212)237-8449
Sponsor Congressional District:	12
Primary Place of Performance:	CUNY John Jay College of Criminal Justice 524 W 59 Street New York NY  US  10019-1069
Primary Place of Performance Congressional District:	12
Unique Entity Identifier (UEI):	NGK8GHNABTB8
Parent UEI:
NSF Program(s):	EARS
Primary Program Source:	01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7976
Program Element Code(s):	797600
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.049

ABSTRACT

The scientists identify fair resource sharing methods as a critical concern in the design of smart radio networks. The researchers note that fair sharing of resources is of fundamental importance in human communities, and propose to apply social network methods to the design of dynamic spectrum access systems. By applying the experience from a mature field, they plan to solve some of the more complex issues related to spectrum sharing in a constantly changing technical environment.

In drawing the connection from the problem of resource-sharing in Cognitive Radio (CR), to models of solutions found within human/animal societies, the proposed research evaluates the extent to which our models of patterns of co-use in biological systems can be profitably leveraged within the context of distributed uncoordinated CR societies to enable individuals and groups to maximize their utility. Of particular relevance to this endeavor is recent ethnographic research on foraging networks of indigenous peoples and human foragers, which has found social relations to be a critical context in which natural selection acts on resource use and co-use behaviors. These findings concerning human behavior lie at the forefront of anthropology, revealing the tensions between sharing networks and optimal strategies and altering our understanding of past human social evolution, and by extension, our vision of the future evolution of artificial CR societies.

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