Intro
Preface
Introduction
Research Contributions
Conclusions
References
Acknowledgments
Contents
Editor and Contributors
About the Editor
Contributors
1 A Comprehensive Study on 5G: RAN Architecture, Enabling Technologies, Challenges, and Deployment
1.1 Introduction
1.1.1 Review of Related 5G Surveys
1.1.2 Contributions and Chapter Organization
1.2 5G Architecture for Public Networks
1.2.1 Cloud-Based 5G Architecture
1.2.1.1 Heterogeneous C-RAN (H-CRAN)
1.2.1.2 Virtualized C-RAN (V-CRAN)
1.2.2 Edge Computing with 5G Architecture

1.2.2.1 Fog-Based 5G Architecture Within C-RAN
1.2.2.2 Cloud-Edge 5G RAN Based on O-RAN and 3GPP
1.2.2.3 Multi-Access Edge Computing within 5G RAN Based on 5GPPP and 3GPP
1.2.3 Comparison Among Public 5G Architectures
1.3 Private 5G Networks
1.3.1 5G Architecture for Private Networks
1.3.2 Spectrum Options for the Private 5G Networks
1.4 5G Enabling Technologies
1.4.1 Software-Defined Networking (SDN)
1.4.1.1 SDN Architecture
1.4.1.2 Research Works on SDN
1.4.2 Network Functions Virtualization (NFV)
1.4.2.1 NFV Architecture
1.4.2.2 Research Works on NFV

1.4.3 Network Slicing
1.4.3.1 Network Slicing Architecture
1.4.4 Artificial Intelligence/Machine Learning (AI/ML)
1.4.4.1 Research Works on Network Slicing with AI/ML Strategies
1.4.5 Multi-Access Edge Computing (MEC)
1.4.5.1 MEC Architecture
1.5 5G Development and Experimentations
1.5.1 5G Development Platforms for R&D
1.5.1.1 OpenAirInterface (OAI)
1.5.1.2 Network Simulator-3 (NS-3)
1.5.1.3 MATLAB 5G Toolbox
1.5.2 5G R&D Projects
1.5.2.1 MOSAIC 5G
1.5.2.2 Open Networking Foundation (ONF)
1.6 Challenging Issues and Directions
References

2 Information Flows at the Deep Physical Layer Level
2.1 Introduction
2.2 Communication at the DPL Using the Space Resource
2.3 Bandlimited Approximation in the Space Domain
2.4 The Space-Time Polarization Number of Degrees of Freedom (STPNDF)
2.5 Control of Information Flows at the DPL Level
2.6 Conclusions
References
3 FBMC: A Waveform Candidate for Beyond 5G
3.1 Introduction
3.2 Organization of Chapter
3.3 FBMC System Model
3.3.1 Data Detection
3.4 MIMO-FBMC Semi-Blind CSI Estimation
3.4.1 Review of Existing Works

3.4.2 Semi-Blind MIMO-FBMC Channel Estimator
3.4.3 MSE Gain of the Semi-Blind Estimate over the LS Estimate
3.5 Performance of FBMC Waveform in Uplink of Massive MIMO
3.5.1 Review of Existing Works
3.5.2 Massive MIMO-FBMC System Model
3.5.3 Uplink Sum Rate for Massive MIMO-FBMC with Imperfect CSI
3.5.3.1 MRC Receiver
3.5.3.2 ZF Receiver
3.5.4 Uplink Sum Rate for Massive MIMO-FBMC with Perfect CSI
3.5.4.1 MRC Receiver
3.5.4.2 ZF Receiver
3.6 Conclusions and Future Directions
References
4 Full-Duplex Multi-Hop Communication for Beyond 5G
4.1 Introduction