As part of radio resource management (RRM), pricing mechanisms that influence wireless device behavior and thereby drive systems to better operating points have been addressed amply in the RRM literature. These mechanisms essentially are borne out of Expected Utility Theory (EUT) based microeconomics approaches, and implemented via engineered system design, i.e., embedding these strategies in the link layer and network layer protocols that are executed by wireless devices. When a wireless service provider controls access to end-users via differentiated and hierarchical monetary pricing, then the performance of the network is directly subject to end-user decision-making that has shown to deviate from EUT. In this thesis, Prospect Theory (PT), a Nobel prize winning theory that explains real-life decision-making and its deviations from EUT behavior, is used to illuminate the end-user behavior from a cognitive psychology perspective in such a wireless network. Specifically, we conduct psychophysics experiments, to analyze how end-users evaluate the video QoS (quality of service) over wireless channels. A key aspect of PT modeling is that end-users evaluate objective probabilities with a subjective bias, often captured by a probability weighting function. Based on our human subject studies, we numerically estimate parameters for the popularly used Prelec's probability weighing function, thereby showing how end-users evaluate uncertainty in wireless QoS. The findings here provide useful pointers for designing optimal pricing and resource management algorithms in wireless networks as well as understanding the interplay between the price offerings, resource allocation by the service providers (SP) and the service choices made by end-users.
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (authority = ETD-LCSH)
Topic
Decision making
Subject (authority = ETD-LCSH)
Topic
Wireless communication systems
Subject (authority = ETD-LCSH)
Topic
Radio resource management (Wireless communications)
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_7236
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (x, 40 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Leonard T. Park
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
Rutgers University. Graduate School - New Brunswick
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License
Name
Author Agreement License
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