Receiver Design for High Spectral Efficiency Communication Systems in Beyond 5G

Description

Foreword Preface Contents Acronyms Notations 1 Introduction of High Spectral Efficiency Communication Systems 1.1 Background 1.2 Faster-Than-Nyquist Signaling 1.3 Sparse Code Multiple Access 1.4 The Objectives 2 Uplink Multi-user Detection for SCMA System 2.1 Introduction 2.2 System Model 2.3 Low-Complexity Receiver Design 2.3.1 Bayesian Inference-Based Approach 2.3.2 Computational Complexity 2.4 Convergence Analysis 2.5 Simulation Results 2.6 Conclusions 3 Downlink Multi-user Detection for MIMO-SCMA System 3.1 Introduction 3.2 MIMO-SCMA Model 3.2.1 Probabilistic Model 3.3 Stretched Factor Graph and Low-Complexity Message Passing Receiver 3.3.1 Factor Graph Representation 3.3.2 Message Passing on Stretched Factor Graph 3.3.3 Algorithm Summary 3.4 Convergence-Guaranteed Message Passing Receiver 3.4.1 VFE and Belief Propagation 3.4.2 Convergence-Guaranteed BP-EP Receiver 3.4.3 Complexity Analysis 3.5 Distributed Cooperative Detection 3.5.1 Belief Consensus-Based Method 3.5.2 Bregman ADMM-Based Method 3.5.3 Algorithm Summary 3.6 Simulation Results 3.7 Conclusions 4 FTN Data Detection and Channel Estimation over Frequency Selective Channels 4.1 Introduction 4.2 FTN Signaling Model 4.3 Low-Complexity Message Passing Receiver Design 4.3.1 Forney-Style Factor Graph Representation 4.3.2 Gaussian Message Passing Algorithm 4.3.3 Computation of Extrinsic LLR 4.3.4 Complexity Analysis 4.4 Simulation Results 4.5 Conclusions 5 Receiver Design for FTN Signaling over Doubly Selective Channels 5.1 Introduction 5.2 System Model 5.2.1 FDE-MMSE Based Algorithm 5.3 VFE-Based Receiver Design 5.3.1 VFE-Based Method 5.3.2 Complexity Reduction 5.3.3 Simulation Results 5.4 GMP-Based Receiver Design 5.4.1 GMP-Based Method 5.4.2 Imperfect Channel Information 5.4.3 Simulation Results 5.5 Conclusions 6 Receiver Design for FTN-SCMA Communication System 6.1 Introduction 6.2 System Model 6.3 Receiver Design for FTN-SCMA Systems 6.3.1 Approximation of Colored Noise 6.3.2 Probabilistic Model and Factor Graph Representation 6.3.3 Message Passing Receiver Design 6.4 User Activity Detection in Grant-Free System 6.4.1 Probability-Based Active User Detection 6.4.2 Message Passing Based Active User Detection Algorithm 6.5 Simulation Results 6.6 Conclusions 7 Receiver Design for FTN-NOMA System with Random Access 7.1 System Model 7.1.1 Faster Than Nyquist Signaling 7.1.2 Non-orthogonal Multiple Access 7.1.3 FTN-NOMA System with Random Access 7.2 Factor Graph Representation of FTN-NOMA System 7.2.1 Probabilistic Model 7.2.2 Factor Graph Representation 7.3 EM-MPA Receiver for FTN-NOMA System 7.3.1 Multiuser Detection and Decoding Part 7.3.2 Summary of the Proposed Receiver 7.4 Simulation Results 7.5 Conclusions 8 Current Achievements and The Road Ahead 8.1 Summary of This Book 8.2 The Road Ahead 8.2.1 Receiver Design for FTN Signaling in Nonlinear Channels 8.2.2 Receiver Design for Orthogonal Time Frequency Space (OTFS) Modulation 8.2.3 Receiver Design for Integrated Sensing and Communication (ISAC) System Appendix References