Interconnect lines, which connect components on a chip, can exhibit transmission line properties. Several factors like decrease in size of components, and decrease in spacing between interconnect lines, have contributed to the increase in importance of interconnect lines. A circuit-analysis approach that does not include the effect of these lines may be useless for highly dense chips. The presence of an active line does not require the analysis of all the other lines in a transmission-line system. In this thesis, a numerical experimental approach based on several industry-typical geometries is used to discuss analysis domain truncation of parallel conductors lying on a horizontal plane. It is found that "The maximum analysis domain between parallel conductors lying on a horizontal plane can be deduced from the analysis of the case of several similar, and parallel conductors of smallest possible width lying on a horizontal plane." UAC (University of Arizona Capacitance Calculator) is used as the TEM parameter extractor, while UACSL (University of Arizona Coupled Line Simulator With Linear Terminations) is used to calculate the voltages on the transmission lines.

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Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (Ph.D.)--University of Texas at Dallas, 2008. / Includes vita. Includes bibliographical references (leaves 183-187)

Thesis (Ph.D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Mary Ann Ingram; Committee Member: Geoffrey Li; Committee Member: Gregory Durgin; Committee Member: Prasad Tetali; Committee Member: Raghupathy Sivakumar.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

No description available.

Thesis (Doctor of Philosophy in Electrical Engineering)--Naval Postgraduate School, June 2004. / Thesis advisor(s): Clark Robertson. Includes bibliographical references (p. 85-87). Also available online.

Interference is fundamental to wireless networks. It is hard to achieve good performance when design routing metrics or algorithms without taking it into account. We study interference in wireless networks through empirical experiments and simulations. We find out that current routing protocols face difficulties in effectively managing it, which can lead to severe problems. For instance, a simple network of two links with one flow is vulnerable to severe performance degradation if interference is not properly accounted for. Motivated by these observations, we develop a simple and effective model to capture effects of interference in a wireless network. Different from the existing interference models, our model captures IEEE 802.11 DCF under both homogeneous and heterogeneous traffic and link characteristics, and is simple enough to be directly used as a basic building block for wireless performance optimization. Based on thismodel, we develop optimization algorithms for several objectives, such as network throughput and fairness. Given traffic demands as input, these algorithms compute rates at which individual flows must send to achieve these objectives. We implement these algorithms in Qualnet simulations and 19-node testbed. Our experiment and simulation results show that our methods can systematically account for and control interference to achieve good performance. More specifically, when optimizing fairness, our methods can achieve almost perfect fairness; when optimizing network throughput, they can lead to 100-200% improvement for UDP traffic and 10-50% for TCP traffic. / text

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