Description
One of the most critical aspects of today's mobile communications systems is, on one side, the requirement of more and more transmission speed and, on the other side, the scarceness of the available bandwidth. This groundbreaking resource shows you how multiantenna systems can be used to increase transmission speed, without requiring more bandwidth or power. The book provides you with innovative approaches to designing transmission strategies for multi-antenna systems and shows you how to design multi-antenna transceivers in order to get the desired balance between diversity gain, transmission rate, and receiver complexity. In addition, you learn how to design wireless networks that have a prescribed probability of connectivity, exploiting the innovative concept of cooperative communications. Moreover, you find detailed coverage of cutting-edge MIMO technology and learn how to combine space-time coding with CDMA or multicarrier transmission systems to design broadband wireless communication networks. This trail-blazing guide puts together unconventional design methodologies such as game theory, convex optimization, and random graphs to give you powerful tools in designing self-organizing networks. The book is also filled with detailed information about the physical layer in 3G networks and analysis of measurements taken from 3G systems operating in urban settings.
Table Of Contents
Introduction - SISO Systems, MIMO Systems, Cooperative Communications, A Brief Historical Perspective, A Quick Detour Through the World of Numbers, Scope of This Book, Book Overview, Preliminaries, References Channel Models and Modes -Introduction, Wavefields, SISO Channels, MIMO Channels, Modes, Analysis of Real Data, Summary, References ; Multicarrier Systems -Introduction, Block Transmission Systems, OFDM, System Design Issues, Channel Estimation, Synchronization, Multiuser Systems, Case Study: IEEE 802.11, Summary, References ; Multiple Access Systems -Introduction, General Principles, Code Division Multiple Access, Case Study: UMTS, Space-Division Multiple Access, Summary, References ; Diversity and Multiplexing Gain in Open-Loop MIMO Systems -Introduction, Statistical Properties of the Eigenvalues of Random Matrices, Fundamental Performance Parameters, Diversity Gain, Multiplexing Gain, Rate-Diversity Trade-off, Capacity Limits in Case of Partial Channel Knowledge at the Receiver, Summary, References ; Optimal Design of Closed-Loop MIMO Systems -Introduction, Mathematical Tools, Optimization Strategies, SISO Channels, MISO Channels, MIMO Systems, Optimal Design in Case of Partial Channel Knowledge, Optimal Access Methods, The Cocktail Party Problem: A Game-Theoretic Formulation, Basic Game Theory Concepts, Pareto Optimality Versus Nash Equilibria, Summary References 298 ; Space-Time Coding for Flat-Fading Channels - Introduction, Linear Space-Time Block Coding, Orthogonal Space-Time Block Coding, Quasi-Orthogonal Space-Time Coding, Layered Space-Time Coding, BLAST, Full-Diversity Full-Rate Design, Trace-Orthogonal Design, Summary, References ; Space-Time Coding for Frequency-Selective Channels -Introduction, Orthogonal STBC for CP-Block Transmissions, Orthogonal STC/OFDM, Full-Diversity Schemes, Full-Rate Systems, TOD for Frequency-Selective Channels, Summary, References ; Space-Time Coding for Multiuser Systems -Introduction, Orthogonal Coding, Multiuser Suppression in Orthogonal STC Systems, Full-Rate Coding, Summary, References ; Cooperative Networks -Introduction, Random Geometric Graphs, Connectivity of a Wireless Network, Cooperative Communications, Cooperation Protocols, Alternative Distributed STC Strategies, Distributed Orthogonal Space-Time Block Coding for Frequency-Selective Channels, Summary, References ;
Author
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Sergio Barbarossa
Sergio Barbarossa is a professor at the University of Rome 'La Sapienza,' where he earned his M.Sc. in electrical engineering and a Ph.D. in information and communication engineering. He was a member of the IEEE Signal Processing for Communications Technical Committee from 1998 to 2004 and he serves as an Associate Editor for the IEEE Transactions on Signal Processing, in the area of sensor networks. He is the co-recipient of the 2000 IEEE Best Paper Award from the IEEE Signal Processing Society. He has had visiting positions at the University of Virginia, the University of Minnesota, and UPC. He is involved in international projects funded by the EU on multihop networks. His main research activity is on sensor networks and cooperative communications.