2nd International Conference on 5G for Ubiquitous Connectivity (eBook)

Preface 6
Contents 8
Collaborative Inference for Mobile Deep Learning Applications 10
1 Introduction 10
2 Motivation 12
3 System Model 13
3.1 Procedure for PSO 14
3.2 Description of the Algorithm 16
4 Performance Evaluation 17
4.1 Settings 17
4.2 Results Prediction 17
5 Related Work 19
5.1 Inference Process in Machine Learning 19
5.2 Job Scheduling and Cooperation 20
6 Conclusions 20
References 20
Compressed Sensing Channel Estimation for LTE-V 22
1 Preliminaries 22
1.1 Literature Survey 23
1.2 The LTE-V System Model 23
2 Techniques for Channel Estimation 25
2.1 The Rake-Matching Pursuit Algorithm 25
2.2 Cognitive Channel Estimation 26
2.3 Equalization 27
3 Evaluation 28
3.1 Simulation Results 28
3.2 Complexity 31
4 Conclusion 32
References 32
Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks 34
1 Introduction 34
2 System Model 35
3 Power Allocation for Sum Rate Maximization 37
4 Numerical Results 39
5 Conclusion 41
References 41
Energy Efficient Optimization Scheme for Uplink Distributed Antenna System with D2D Communication 43
1 Introduction 43
2 System Model 44
3 Power Allocation for EE Maximization 45
4 Simulation Results 48
5 Conclusion 50
References 51
A Cluster-Based Interference Management with Successive Cancellation for UDNs 52
1 Introduction 52
2 Model and Formulation 54
2.1 System Model 54
2.2 Problem Formulation 55
3 Interference Management Scheme 56
3.1 Structure of Interference Graph 57
3.2 Clustering Algorithm 58
3.3 Subchannel Allocation 58
3.4 SIC Detection Algorithm 59
4 Simulation Results 60
5 Conclusions 64
References 65
Delay Sensitive Application Partitioning and Task Schedulingin Mobile Edge Cloud Prototyping 66
1 Introduction 66
2 Related Work 68
3 Proposed Description 69
3.1 Proposed Model and Problem Formulation 70
3.2 Task Execution Scenario 70
3.3 Application Characteristics 70
3.4 Mobile Task Assignment 72
3.5 Cloud Task Assignment 72
3.6 Application Response Time 73
4 Proposed Algorithm 74
4.1 Application Partitioning Phase (i) and (ii) 75
4.2 Task Assignment Phase (iii) and (iv) 77
4.3 Greedy Task Scheduling Algorithm 79
4.4 Time Complexity 79
5 Performance Evaluation 81
5.1 Application Evaluation 81
5.2 Task Scheduling Evaluation 81
5.3 Simulation Setup 81
5.4 Parameter and Components Calibration 84
5.5 Algorithm Comparison 84
6 Conclusion 86
References 86
Clustering Priority-Based User-Centric Interference Mitigation Scheme in the Ultra Dense Network 88
1 Introduction 88
2 System Model and Problem Formulation 89
2.1 System Model 89
2.2 Problem Formulation 90
3 CPUCIC Scheme 93
3.1 Generation for Coordination Priorities 93
3.2 User Judgment Process 93
3.3 Collaborative Transmission and Interference Nulling Process 94
3.4 Corresponding Algorithm 94
4 CPUCIC Performance Analysis 95
4.1 Performance Analysis of CPUCIC in the Case of Different Base Stations 95
4.2 Performance Analysis of CPUCIC in the Case of Changeable Users 98
5 Conclusion 101
References 101
SAR Target Recognition via Enhanced Kernel Sparse Representation of Monogenic Signal 103
1 Introduction 103
2 Related Work 104
2.1 The Monogenic Feature 104
2.2 Kernel Sparse Representation 105
3 Presented Method 106
3.1 Multi-Scale Monogenic Feature Extraction 106
3.2 Pseudo-Transformation Matrix and Dictionary Construction 107
3.3 KSRC Optimization Problem Solver and Classifier 108
4 Experimental Results 108
4.1 Experimental Setup 108
4.2 Target Recognition Results 110
5 Conclusion 111
References 111
Optimization of FBMC Waveform by Designing NPR Prototype Filter with Improved Stopband Suppression 113
1 Introduction 113
2 Preliminaries 114
2.1 FBMC 114
2.2 Prototype Filter 116
3 Design of the NPR Prototype Filter 117
3.1 The Constrained Optimization of r(n) 118
3.2 The Example 119
4 Simulation and Analysis 120
4.1 The Design of NPR Filter 120
4.2 The BER Test of FBMC 123
5 Conclusions 124
References 125
Robust Spectrum-Energy Efficiency for Green Cognitive Communications 127
1 Introduction 127
2 System Model 129
3 Energy Efficiency Optimization 132
4 Simulation Analysis and Evaluation 133
5 Conclusion 134
References 135
Optimal Precoding Design for LoS Massive MIMO Channelswith the Spherical-Wave Model 137
1 Introduction 137
2 System Model 138
3 Precoding Design for the LoS MIMO Channels 139
3.1 Optimal Precoding Matrix 141
3.2 Optimal Power Allocation 141
4 Simulation Results 143
5 Conclusion 145
References 145
An Envisioned Virtual Gateway Architecture for Capillary Networks in Smart Cities 146
1 Introduction 146
2 Capillary Network 148
2.1 Architecture 148
2.2 Capillary Network Features 150
3 Existing Gateway Implementation Methods 151
4 Virtual Gateway Supported Capillary Networks 152
4.1 Enabling Technology Overview 152
4.2 Design Overview 153
4.3 Functions in Virtual Gateway 155
Frontend—Radio Access 155
Fronthaul Connection 156
Network Functions 156
4.4 Management 156
Radio Manager 157
Resource Manager 157
Gateway Manager 157
SDN Controller 157
4.5 Advantages and Disadvantages 158
5 Implementation Feasibility and Example of Using Virtual Gateways 159
5.1 Implementation Feasibility 159
5.2 Example of Deploying a New Capillary Network Using Virtual Gateway 160
6 Conclusion 161
References 161
A Network Calculus Based Traceable Performance Analysis Framework of C-RAN for 5G 163
1 Introduction 163
2 Related Work 165
3 System Model and Preliminaries 166
4 Performance Analysis Framework for C-RAN 168
4.1 Service Curve for Flows with Different Priorities 168
4.2 Delay Upper-Bound Analysis 171
5 Simulation Results 172
6 Conclusions 174
References 174
Image Dehazing Using Degradation Model and Group-Based Sparse Representation 176
1 Introduction 176
2 Preliminaries 177
3 Presented Approach 177
3.1 Degradation Model Construction 178
3.2 Image Dehazing via Degradation Model and Group-Based Sparse Representation 179
4 Experimental Results 180
4.1 Evaluation Criteria 180
4.2 Qualitative Evaluation 180
4.3 Quantitative Evaluation 182
5 Conclusion 183
References 183
Delay Analysis for URLLC in 5G Based on Stochastic NetworkCalculus 186
1 Introduction 186
2 Related Work 187
3 System Model 189
3.1 URLLC Network Architecture 189
3.2 Delay of URLLC Network 190
3.3 Problem Description 191
3.4 Stochastic Network Calculus 191
3.5 Model Building 193
4 Numerical Results and Performance Evaluation 197
5 Conclusions 199
Appendix 1: Proof of Corollary 1 200
Appendix 2: Proof of Corollary 2 201
Appendix 3: Calculation of Delay 203
References 204
Index 206