Overview

Unlike wired networks where transmitters have no effect on receivers other than their own, in wireless networks we are limited by interference. The traditional routing methods are not optimal any more when it comes to a wireless medium. The maximum data rate on each link depends not only on the power in that link but also on the transmitted power from adjacent links. That is why the problem of power optimal routing needs to be solved jointly with scheduling. This suggests a cross layer design method as opposed to traditional networking where the algorithm for each layer is designed separately. In Coping with Interference in Wireless Networks we introduce several methods engaging different layers of network to mitigate interference in a wireless network.

Full Product Details

Author:   Seyed Javad Kazemitabar
Publisher:   Springer
Imprint:   Springer
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 0.60cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789400799783

ISBN 10:   9400799780
Pages:   102
Publication Date:   18 October 2014
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Dedication. List of Figures. List of Tables. Foreword. Preface. Acknowledgements. 1 Introduction. Coping with Interference in Physical Layer. Coping with Interference in Medium-Access Control (MAC) Layer. Effect of Interference on Connectivity. 2 Multi-User Communication and Interference Cancellation. The Channel Model. Interference Cancellation Using Space-Time Block Coding. Interference Cancellation Using Quasi-Orthogonal Space-Time Block Coding. Interference Cancellation Using Minimum Decoding Complexity Quasi-Orthogonal Space-Time Block Codes (MDC-QOSTBC). Application of the New Interference Cancellation Scheme in Array Processing. Simulation Results. 3 Diversity Analysis of Multiple-Antenna Multi-User Systems. Diversity Order in a Communication Scheme. Multi-User Detection Using Alamouti. Multi-User Detection for More than Two Transmit Antennas. Joint Array Processing and Space-Time Coding. Discussion. 4 Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks with Interference. Modeling and Problem Formulation. Power Control, Scheduling and Routing Algorithm. Nonlinear vs. Linear. Simulation Results and Discussion. 5 Connectivity in Wireless Networks. The Capacity Metric. The SER Metric. Capturing Temporal Correlation of Ergodic Channels. Experimental Verification of Analysis. References. Index.

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