Fundamentals of Wireless Communication

A unified view of the fundamentals of wireless communication for graduate students and practising engineers.

Autorentext
DAVID TSE is a Professor at the Department of Electrical Engineering and Computer Science, University of California, Berkeley.

Klappentext
The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interest to practising engineers.

Zusammenfassung
This textbook takes a unified view of the fundamentals of wireless communication and explains cutting-edge concepts in a simple and intuitive way. An abundant supply of exercises make it ideal for graduate courses in electrical and computer engineering and it will also be of great interest to practising engineers.

Inhalt
1. Introduction; 2. The wireless channel; 3. Point-to-point communication: detection, diversity and channel uncertainty; 4. Cellular systems: multiple access and interference management; 5. Capacity of wireless channels; 6. Multiuser capacity and opportunistic communication; 7. MIMO I: spatial multiplexing and channel modeling; 8. MIMO II: capacity and multiplexing architectures; 9. MIMO III: diversity-multiplexing tradeoff and universal space-time codes; 10. MIMO IV: multiuser communication; A. Detection and estimation in additive Gaussian noise; B. Information theory background.

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