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User modeling enables in the computation of the traffic density in a cellular network, which can be used to optimize the placement of base stations and radio network controllers as well as to analyze the performance of resource management algorithms towards meeting the final goal: the calculation and maximization of network capacity and throughput for different data rate services. An analytical model is presented for approximating the user distributions in multi-cell third generation wideband code division multiple access (WCDMA) networks using 2-dimensional Gaussian distributions by determining the means and the standard deviations of the distributions for every cell. This model allows for the calculation of the inter-cell interference and the reverse-link capacity of the network. An analytical model for optimizing capacity in multi-cell WCDMA networks is presented. Capacity is optimized for different spreading factors and for perfect and imperfect power control. Numerical results show that the SIR threshold for the received signals is decreased by 0.5 to 1.5 dB due to the imperfect power control. The results also show that the determined parameters of the 2-dimensional Gaussian model match well with traditional methods for modeling user distribution. A call admission control algorithm is designed that maximizes the throughput in multi-cell WCDMA networks. Numerical results are presented for different spreading factors and for several mobility scenarios. Our methods of optimizing capacity and throughput are computationally efficient, accurate, and can be implemented in large WCDMA networks.

Time does not stand still, and time in its passing forges many changes. This is quite true as it relates to the educational life of a community. Time sees industries come and go, people move in and out of communities, and the enrollment of schools rise and fall. There are two communities which have felt mightily the impact of such changes. Faceville and Atapulgus, Georgia are two small rural communities in southwest Georgia which face something of a dilemma, educationally speaking, because of changes that have come about in their community and economic life. / Typescript. / "August, 1952." / "Submitted to the Graduate Council of Florida State University in partial fulfillment of the requirements for the degree of Master of Science." / Includes bibliographical references (leaves 28-29).

Future wireless networks will be required to support multimedia traffic in addition to traditional best-effort network services. Supporting multimedia traffic on wired networks presents a large number of design problems, particularly for networks that run connectionless data transport protocols such as the TCP/IP protocol suite. These problems are magnified for wireless links, as the quality of such links varies widely and uncontrollably. This dissertation presents new tools developed for the design and realization of wireless networks including, for the first time, analytical channel models for predicting the efficacy of error control codes, interleaving schemes, and signalling protocols, and several novel algorithms for matching and adapting system parameters (such as error control and frame length) to time-varying channels and Quality of Service (QoS) requirements.

published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Electrical and Electronic Engineering / Master / Master of Philosophy

published_or_final_version / abstract / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / Electrical and Electronic Engineering / Master / Master of Philosophy

published_or_final_version / abstract / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

The use of computer application software could be increased. The goal of this research was to uncover a design for a module which instructs the potential user how to use software. This type of module, called an instructional module, would, when incorporated on software such as decision support tools, increase the willingness of novices to use the software more frequently. Four instructional modules designs, which were the result of combining two states of two variables of instructional module design, were examined. The four designs are (1) an automated programmed learning module; (2) an automated help facility; (3) a manual programmed learning module and; (4) a manual help facility. A financial decision support tool was developed, and each of the four instructional modules designs was placed separately on the decision support tool. This created, in effect, four different tools. Subjects in the experiment were business school students with no formal experience using a decision support tool. Each subject was exposed to two of the four instructional module designs during a training session which lasted one hour. One month after the training session, the subjects were reassembled for a second session. During this session, the subjects selected one of the two tools, with its instructional module, which they had been exposed to previously. The subjects were to use the selected tool to solve problems which would likely require them to access the instructional module. In addition to these behavioral selection data, attitudinal data concerning the instructional module designs were also collected throughout both sessions of the experiment. Based on their selection and their attitudinal responses, the subjects indicated that the tool with the automated programmed learning module was the module of choice. The research methodology successfully provided input for instructional module design for computer application software such as decision support tools.