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Applied Optimization Methods for Wireless Networks (Hardcover) Loot Price: R1,676
Discovery Miles 16 760
Applied Optimization Methods for Wireless Networks (Hardcover): Y. Thomas Hou, Yi Shi, Hanif D. Sherali

Applied Optimization Methods for Wireless Networks (Hardcover)

Y. Thomas Hou, Yi Shi, Hanif D. Sherali

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Loot Price R1,676 Discovery Miles 16 760 | Repayment Terms: R157 pm x 12*

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: April 2014
First published: April 2014
Authors: Y. Thomas Hou • Yi Shi • Hanif D. Sherali
Dimensions: 250 x 193 x 19mm (L x W x T)
Format: Hardcover
Pages: 360
ISBN-13: 978-1-107-01880-8
Categories: Books > Computing & IT > General theory of computing > Systems analysis & design
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
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LSN: 1-107-01880-3
Barcode: 9781107018808

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