Multiuser detection is an important part of wireless communication, especially for the receive end. This book introduces several iterative detection schemes for the overloaded multiuser systems under different channel conditions in detail, including detection algorithms, implementation details, and performance analyses.
The opening chapters begin with a briefly introduction and fundamental techniques to introduce newcomers to the subject, assuming no prior knowledge in the field of multiuser detection. Subsequent chapters cover the iterative interference cancellation, channel selection,interleavedivision multiple access, and channel estimation. This book is approachable, and can be an essential resource for students and practitioners.

Chapter 1 Introduction
1.1 Motivation
1.2 Single-user Detection vs Multiuser Detection
1.3 Underloaded System vs Overloaded System
1.4 Summary of Contributions
1.5 Outline of This Book
1.6 Conclusions
Chapter 2 Fundamental Techniques
2.1 MIMO Systems
2.1.1 Space-time Coding
2.1.2 Spatial Multiplexing
2.2 OFDM
2.2.1 Introduction of OFDM
2.2.2 OFDM System Model
2.3 MIMO OFDM Systems
2.4 Multiuser Detection
2.4.1 Matched Filter Detector
2.4.2 ZF Detector
2.4.3 MMSE Detector
2.4.4 ML Detector
2.4.5 Parallel Interference Cancellation
2.4.6 Performance Comparison between MUD Schemes
2.5 Convolutional Code
2.5.1 Convolutional Encoding
2.5.2 Convolutional Decoding
2.6 Turbo Code
2.6.1 Turbo Encoding
2.6.2 Interleaver
2.6.3 Turbo Decoding
2.7 EXIT Chart
2.8 Interleave-Division Multiple Access
2.9 Simulations
2.10 Conclusions
Chapter 3 Low Complexity Iterative Detection for Overloaded Multiuser MIMO OFDM Systems
3.1 Introduction
3.2 Turbo Multiuser Detection
3.3 System Model
3.4 Multiuser Receiver for AWGN Channels
3.4.1 Iterative PIC Receiver
3.4.2 Performance of Iterative PIC Receiver in AWGN Channels
3.5 Multiuser Receiver for Flat Fading Channels
3.5.1 Performance of Iterative PIC Receiver in Block Fading Channels
3.6 Multiuser Receiver for Frequency Selective Channels
3.6.1 Performance of Iterative PIC Receiver in Frequency Selective Fading Channels
3.7 Iterative Interference Cancellation (IIC) Receiver
3.7.1 LLR Scaling Factor
3.7.2 Iterative Interference Cancellation MUD
3.7.3 Iterative MAP MUD
3.7.4 Performance Comparison between Iterative MAP MUD and IIC MUD
3.8 Performance of IIC MUD
3.9 Conclusions
Chapter 4 Channel Selection for Iterative Interference Cancellation Multiuser Detection
4.1 Introduction
4.2 Channel Selection Criterion
4.3 Adaptive Transmissions
4.4 System Model for Different Channels using Different Code Rates
4.5 System Model for Multiple Transmissions
4.6 Simulation Results
4.7 Conclusions
Chapter 5 Iterative Interference Cancellation for IDMA Systems
5.1 Introduction
5.2 The IDMA System Model
5.3 The Elementary Signal Estimator (ESE)
5.4 Simulation Results
5.5 Conclusions
Chapter 6 Channel Estimation
6.1 Introduction
6.2 Wiener Filter
6.3 Iterative Channel Estimation by Wiener Filter
6.4 Iterative Channel Estimation for MIMO Systems
6.5 Simulation Results
6.6 Conclusions
Chapter 7 Conclusions and Future Work
7.1 Summary of Work
7.2 List of Contributions
7.3 Future Work
Bibliography