Interference Cancellation Using Space-Time Processing and Precoding Design

2013
ISBN: 978-3-642-30711-9
Verlag: Springer

Buch, Englisch, Band 206, 96 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 336 g

Reihe: Signals and Communication Technology

Interference Cancellation Using Space-Time Processing and Precoding Design introduces original design methods to achieve interference cancellation, low-complexity decoding and full diversity for a series of multi-user systems. In multi-user environments, co-channel interference will diminish the performance of wireless communications systems. In this book, we investigate how to design robust space-time codes and pre-coders to suppress the co-channel interference when multiple antennas are available.
 
This book offers a valuable reference work for graduate students, academic researchers and engineers who are interested in interference cancellation in wireless communications. Rigorous performance analysis and various simulation illustrations are included for each design method.
 
Dr. Feng Li is a scientific researcher at Cornell University.

Zielgruppe

Research

Autoren/Hrsg.

Li, Feng

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen

Inhaltsverzeichnis

Introduction.- Interference Cancellation and Detection for MAC with Two Users.- Interference Cancellation and Detection for More than Two Users.- Interference Cancellation for MAC Using Quantized Feedback.- Interference-Free Transmission for X channels.

Über Autor(innen)

Dr. Feng Li has worked in the wireless communications field for more than ten years. He has made many original and significant contributions in multi-user, multi-antenna interference cancellation using space-time processing and pre-coding design. He has also been recognized as one of the top experts on the research of multi-antenna interference cancellation using space-time precoding.