Applied Optimization Methods for Wireless Networks

Y. Thomas Hou

ISBN 10: 1107018803 / ISBN 13: 9781107018808

Edité par Cambridge University Press, 2014

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781107018808

Détails bibliographiques

• Titre: Applied Optimization Methods for Wireless Networks
• Éditeur: Cambridge University Press
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 1107018803
• ISBN à 13 chiffres: 9781107018808
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 260 L x 208 H x 23 P (en millimètres) 260 millimètres de largeur par 208 millimètres de hauteur par 23 millimètres de profondeur
• Poids: 973 grammes

A propos de ce titre

Synopsis

Provides practical optimization techniques and modeling tips and tricks for solving challenging wireless networking problems.

À propos des auteurs

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.