This volume contains papers based on invited talks given at the 2005 IMA Summer Workshop on Wireless Communications, held at the Institute for Mathematics and Its Applications, University of Minnesota, June 22 - July 1, 2005. It presents some of the highlights of the workshop, and collects papers covering a broad spectrum of important and pressing issues in wireless communications.

This book addresses the need to improve TCP's performance inside data centers by providing solutions that are both practical and backward compatible with standard TCP versions. The authors approach this challenge first by deriving an analytical model for TCP's performance under typical data center workload traffic. They then discuss some solutions that are designed to improve TCP performance by either proactively detecting network congestion through probabilistic retransmission or by avoiding timeout penalty through dynamic resizing of TCP segments. Experimental results show that each of techniques discussed outperforms standard TCP inside a data center.

This volume contains papers based on invited talks given at the 2005 IMA Summer Workshop on Wireless Communications, held at the Institute for Mathematics and Its Applications, University of Minnesota, June 22-July 1, 2005. The workshop provided a great opportunity to facilitate the communications between academia and the industry, and to bridge the mathematical sciences, engineering, information theory, and communication communities. The emphasis were on design and analysis of computationally efficient algorithms to better understand the behavior and to control the wireless telecommunication networks. As an achieve, this volume presents some of the highlights of the workshop, and collects papers covering a broad spectrum of important and pressing issues in wireless communications. All papers have been reviewed. One of the book's distinct features is highly multi-disciplinary. This book is useful for researchers and advanced graduate students working in communication networks, information theory, signal processing, and applied probability and stochastic processes, among others.

This book provides the first comprehensive study of the applications of stochastic geometry methods in cognitive radio networks. It elaborates the necessary mathematical tools and discusses the state of the art in geometrical modeling and analysis of cognitive radio networks and will be a first general book for the researchers in this field. Readers will be introduced to tools for managing the inherent uncertainty in the spatial locations of wireless nodes in cognitive radio networks, in order to satisfy the interference constraints on the primary receivers and to make the coexistence of primary and secondary networks possible.