Multiple antenna systems are an appealing candidate for emerging fourth-generation wireless networks due to its potential to exploit space diversity for increasing conveyed throughput without wasting bandwidth and power resources. It is widely accepted that the performance of digital communication systems can be considerably improved once the channel state information (CSI) is used to optimize the transmit signal. In this book, the problem of the design of a power allocation strategy in LST architecture to simultaneously optimize coding, diversity and weighting gains is addressed.
The book also considered a more practical scenario by assuming imperfect CSI at the receiver. The effect of channel estimation errors in LST architecture with an iterative PIC receiver is investigated. In order to validate the effectiveness of the schemes, substantial simulation results are provided.
This book is mainly intended for advanced level students, professional communication engineers and researchers involved in coding and telecommunication research.
Md A Karim
Adaptive multiple input multiple output ( Channel state information Imperfect Channel State Information Iterative detection Multi antenna systems Parallel interference cancellation Space-Time Code Transmit power allocation Transmit signal weighting Turbo coding