Titlebook: Wireless Communications; Prathima Agrawal,Philip J. Fleming,George Yin Book 2007 Springer-Verlag New York 2007 Computer-Aided Design (CAD)

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Autobiography

A Game Theoretic Approach to Interference Management in Cognitive Networks,hm enforces cooperation among nodes in an effort to reduce the overall energy consumption in the network. For designing the power control, we consider both the case in which no transmission power constraints are imposed, as well as the more practical case, in which the maximum transmission power is

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Enabling Interoperability of Heterogeneous ad hoc Networks,s often cannot communicate directly with each other. However, in many practical scenarios such as disaster management and public safety crises, communication amongst dissimilar wireless networks may become a necessity. Previous work related to coverage and connectivity issues consider a homogeneous

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Dimensionality Reduction, Compression and Quantization for Distributed Estimation with Wireless Sennt bandwidth and power constraints. These constraints motivate: i) a means of reducing the dimensionality of local sensor observations; ii) quantization of sensor observations prior to digital transmission; and iii) estimators based on the quantized digital messages. These three problems are address

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Diuretic

Modelling and Stability of Fast TCP,s, that FAST TCP is globally asymptotically stable when there is no feedback delay and that it is locally asymptotically stable in the presence of feedback delay provided a local stability condition is satisfied. We present an experiment on an emulated network in which the local stability condition

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Book 2007mer Program on Wireless Communications, held on June 22 - July 1, 2005. We would like to thank Prathima Agrawal (Auburn University), Daniel Matthew Andrews (Lucent Technologies), Philip J. Fleming (Mo­ torola, Inc.), George Yin (Wayne State University), and Lisa Zhang (Lucent Technologies) for their

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A Game Theoretic Approach to Interference Management in Cognitive Networks,quilibrium solution, i.e., a deterministic choice of channels and transmission powers for all users. Our simulation results also show that, while both channel allocation and power control can independently improve the system performance, there is a significant gain for the joint algorithm.