Applied Optimization Methods for Wireless Networks

Y. Thomas Hou (u. a.)

ISBN 10: 1107018803 / ISBN 13: 9781107018808

Published by Cambridge University Press, 2014

About this Item

Applied Optimization Methods for Wireless Networks | Y. Thomas Hou (u. a.) | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9781107018808 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 105563639

Bibliographic Details

• Title: Applied Optimization Methods for Wireless Networks
• Publisher: Cambridge University Press
• Publication Date: 2014
• Language: English
• ISBN 10: 1107018803
• ISBN 13: 9781107018808
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 208H x 23D millimeters 260 millimeters width by 208 millimeters height by 23 millimeters depth
• Weight: 973 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Written in a unique style, this book is a valuable resource for faculty, graduate students, and researchers in the communications and networking area whose work interfaces with optimization. It teaches you how various optimization methods can be applied to solve complex problems in wireless networks. Each chapter reviews a specific optimization method and then demonstrates how to apply the theory in practice through a detailed case study taken from state-of-the-art research. You will learn various tips and step-by-step instructions for developing optimization models, reformulations, and transformations, particularly in the context of cross-layer optimization problems in wireless networks involving flow routing (network layer), scheduling (link layer), and power control (physical layer). Throughout, a combination of techniques from both operations research and computer science disciplines provides a holistic treatment of optimization methods and their applications. Each chapter includes homework exercises, with PowerPoint slides and a solutions manual for instructors available online.

About the Authors

Y. Thomas Hou is a Professor in the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA.

Yi Shi is a Research Scientist at Intelligent Automation Inc., Rockville, Maryland, USA and an Adjunct Assistant Professor in the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA.

Hanif D. Sherali is a University Distinguished Professor Emeritus in the Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA. He is an elected member of the US National Academy of Engineering.