Dissertation/Thesis Abstract

Dynamic Pricing in Heterogeneous Wireless Cellular Networks
by Shrader, David, Ph.D., Nova Southeastern University, 2014, 99; 3636999
Abstract (Summary)

Smart communications devices are giving users instant access to applications that consume large amounts of data. These applications have different requirements on the network for delivery of data. In order to support these different applications, operators are required to support multiple service classes.

Given the regulatory and technology constraints and the relatively high cost associated with wireless spectrum licensing and utilization, demand will exceed supply leading to congestion and overload conditions. In addition to new broadband radio technologies offering higher data rates, operators are looking at deploying alternate heterogeneous technologies, such as WLAN, to provide additional bandwidth for serving customers. It is expected that this will still fall short of providing enough network resources to meet the ITU requirement for 1% new call blocking probability. An economic mechanism that offers incentives to individuals for rational behavior is required in order in order to reduce the demand for network resources and resolve the congestion problem.

The research in this dissertation demonstrates that the integration of a dynamic pricing with connection admission control mechanism for an operator deploying cooperative heterogeneous networks (e.g., LTE and WLAN) offering multiple QoS service classes reduces the new call blocking probability to the required 1% level.

The experimental design consisted, first, of an analytical model of the CAC algorithm with dynamic pricing in a heterogeneous environment. The analytical model was subsequently validated through discrete-event simulation using Matlab.

Indexing (document details)
Advisor: Simco, Gregory E.
Commitee: Mitropoulos, Francisco J., Mukherjee, Sumitra
School: Nova Southeastern University
Department: Computer Information Systems (MCIS, DCIS)
School Location: United States -- Florida
Source: DAI-B 76/02(E), Dissertation Abstracts International
Subjects: Computer Engineering, Computer science
Keywords: Congestion, Dynamic pricing, Wireless
Publication Number: 3636999
ISBN: 978-1-321-19149-3
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