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Wireless Communications: Algorithmic Techniques

Description

An advanced introduction to algorithmic techniques for wireless communications, blending basic principles with advanced concepts and techniques 

This reference provides a high-level introduction to the study of algorithmic techniques employed in digital wireless communication systems over fading channels.  Its main objective is to develop a theoretical framework that will enable the reader to develop solutions to detection, equalization, channel estimation, error correction coding and coded modulation problems in wireless communications. 

This book discusses in detail deterministic and stochastic descriptions of wireless channels, single-carrier and multicarrier digital modulation techniques, optimal signal detection, channel estimation techniques, channel equalization algorithms, classical and modern channel coding schemes, coded modulation techniques, and iterative methods for channel equalization and decoding of channel codes. 

Special features include:

  • Important results previously scattered over a huge number of publications are now collected in a single volume
  • A broad coverage of fundamental topics in wireless communications, taking into consideration both basic and advanced transmission techniques
  • An historical perspective on various important research areas in the field of wireless communication techniques
  • Highlights trends in various research areas in the field of wireless communications
About the Author

Giorgio M. Vitetta is a Full Professor of Telecommunications at the Department of Information Engineering of the University of Modena and Reggio Emilia. He received the Dr. Ing. Degree in Electronic Engineering (cum Laude) in 1990 and the Ph. D. degree in 1994, both from the University of Pisa, Italy.

Desmond Taylor is the Tait Professor of Communications at the University of Canterbury. He gained his PhD in Electrical Engineering from McMaster University in Canada. He specializes in Digital Communication Systems. He is the director of journals for the IEEE Communications Society.

Philippa Martin is a lecturer in Electrical Engineering at the University of Canterbury. Her research interests include coded modulation, error correction coding and decoding, reduced complexity decoding algorithms, iterative processing, space-time coding, detection and decoding, and combined equalization and decoding.

Fabrizio Pancaldi received his Dr. Ing. Degree in Electronic Engineering (cum laude) and a Ph. D. degree in 2006, both from the University of Modena and Reggio Emilia, Italy. He is currently a Research Fellow and lectures in Telecommunication Networks.