Kazemitabar Coping with Interference in Wireless Networks

1. Auflage 2010
ISBN: 978-90-481-9990-7
Verlag: Springer Netherlands
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 102 Seiten

Reihe: Signals and Communication Technology

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.

Autoren/Hrsg.

Kazemitabar, Seyed Javad

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;8
3;Contents;9
4;List of Figures;11
5;List of Tables;13
6;Introduction;14
6.1;Coping with Interference in Physical Layer;14
6.1.1;Multi-user Communication and Interference Cancellation;14
6.1.2;Trade off Between Rate and Diversity;15
6.1.3;Diversity Analysis of Multi-user systems;15
6.2;Coping with Interference in Medium-Access Control (MAC) Layer;16
6.2.1;Motivations and Applications;17
6.2.2;Solution Overview;18
6.3;Effect of Interference on Connectivity;19
7;Multi-User Communication and Interference Cancellation;21
7.1;The Channel Model;21
7.2;Interference Cancellation Using Space-Time Block Coding;21
7.3;Interference Cancellation Using Quasi-Orthogonal Space-Time Block Coding;27
7.4;Interference Cancellation Using Minimum Decoding Complexity Quasi-Orthogonal Space-Time Block Codes (MDC-QOSTBC);35
7.5;Application of the New Interference Cancellation Scheme in Array Processing;37
7.6;Simulation Results;38
8;Diversity Analysis of Multiple-Antenna Multi-User Systems;42
8.1;Diversity Order in a Communication Scheme;42
8.2;Multi-User Detection Using Alamouti;43
8.2.1;Diversity Order of the ML Decoding;45
8.2.2;Diversity Order of the Array-Processing Method;45
8.2.2.1;The Case with More than 2 Receive Antennas;47
8.2.2.2;The Case with More than 2 Users;53
8.3;Multi-User Detection for More than Two Transmit Antennas;53
8.3.1;The Case with More than 2 Receive Antennas;55
8.3.2;The Case with More than 2 Users;58
8.4;Joint Array Processing and Space-Time Coding;60
8.5;Discussion;60
8.6;Appendix A;60
8.7;Appendix B;67
9;Global Optimal Routing, Scheduling and Power Control for Multi-Hop Wireless Networks with Interference;69
9.1;Modeling and Problem Formulation;69
9.1.1;Scheduling and Power Control;70
9.1.2;Scheduling, Power Control, and Routing;72
9.2;Power Control, Scheduling and Routing Algorithm;73
9.2.1;The Power Control-Scheduling Algorithm;73
9.2.2;Power Control, Scheduling and Routing;78
9.3;Nonlinear vs. Linear;80
9.4;Simulation Results and Discussion;81
10;Connectivity in Wireless Networks;88
10.1;The Capacity Metric;88
10.1.1;Probabilistic Capacity Metric;88
10.1.2;Deterministic Capacity Metric;92
10.2;The SER Metric;93
10.2.1;Probabilistic SER Metric;93
10.2.2;Deterministic SER Metric;96
10.3;Capturing Temporal Correlation of Ergodic Channels;98
10.4;Experimental Verification of Analysis;98
10.4.1;Justification of Proposed Connectivity Metrics;99
10.4.2;Connectivity Experiments;99
11;References;105
12;Index;108