
Interference and Resource Management in Heterogeneous Wireless Networks
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Content
- Interference and Resource Management in Heterogeneous Wireless Networks
- Contents
- Chapter 1 Overview of 5G Heterogeneous Wireless Networks
- 1.1 Architecture of 5G Heterogeneous Wireless Networks
- 1.2 Radio Access Networks in 5G
- 1.2.1 Traditional Cellular Architecture in the Long-Term Evolution System
- 1.2.2 Cloud RAN Architecture
- 1.2.3 Fog RAN Architecture
- 1.2.4 Cloudlet RAN Architecture
- 1.3 5G Heterogeneous Wireless Networks
- 1.3.1 Small Cell Underlaying Cellular Networks
- 1.3.1.1 Details of Small Cell Underlaying Cellular Networks
- 1.3.1.2 Challenges in Small Cell Underlaying Cellular Network from Resource Management and Interference Management Perspective
- 1.3.2 D2D Communications Underlaying Cellular Networks
- 1.3.2.1 Details of D2D Communications Underlaying Cellular Networks
- 1.3.2.2 Challenges in D2D Underlaying Cellular Network from a Resource Management and Interference Management Perspective
- REFERENCES
- Chapter 2 Network Modeling and Performance Analysis of Heterogeneous Wireless Networks
- 2.1 Multi-tier Cellular Networks: Modeling, Analysis, and Guidelines
- 2.1.1 Introduction
- 2.1.2 MHCN Model
- 2.1.3 Coverage Probability of MHCN
- 2.1.3.1 Coverage Probability of Users in Infrastructure Mode
- 2.1.3.2 Coverage Probability of Users in Ad Hoc Mode
- 2.1.4 Capacity of MHCNs
- 2.1.4.1 Average Throughput of Users in Infrastructure Mode
- 2.1.4.2 Average Throughput of Users in Ad Hoc Mode
- 2.1.4.3 The Capacity of MHCNs
- 2.1.4.4 Special Cases of Interest
- 2.1.5 Numerical Analysis and Discussions
- 2.1.6 Conclusions
- 2.2 D2D Enhanced Cellular Networks: Spectrum Sharing Schemes
- 2.2.1 Introduction
- 2.2.2 D2D Enhanced HCN
- 2.2.3 A Decoupled Cell Association Scheme
- 2.2.4 CSMA Model for D2D Transmissions
- 2.2.5 Coverage Probability
- 2.2.5.1 No D2D Transmissions
- 2.2.5.2 No Sensing for Small Cell Transmissions
- 2.2.6 Network Throughput of D2D Enhanced HCN
- 2.2.7 Validation of Network Model
- 2.2.8 Numerical Analysis and Discussion
- 2.2.9 Conclusion
- REFERENCES
- Chapter 3 Interference Management Framework and Design Issues
- 3.1 Interference Management Framework Based on Resource Mobility
- 3.1.1 Resource Mobility
- 3.1.1.1 Resource Migration Scenario
- 3.1.1.2 Resource Aggregation Scenario
- 3.1.1.3 Resource Interchange Scenario
- 3.1.2 Resource Mobility Enabled Interference Management Framework
- 3.2 Interference Modeling for Heterogeneous Wireless Networks
- 3.2.1 Channel Model
- 3.2.2 Typical Interference Models
- 3.2.3 Statistical Interference Model
- 3.2.3.1 Interference Characterization
- 3.2.3.2 Poisson Point Process
- 3.2.3.3 Important Properties of PPP
- 3.2.3.4 Application of PPP to Interference
- 3.3 Techniques for Interference Management
- 3.3.1 Interference Migration
- 3.3.2 Interference Mitigation
- 3.3.3 Interference Alignment
- 3.4 Technical Challenges in Interference Management
- REFERENCES
- Chapter 4 Interference Migration:Leveraging Resource Heterogeneity
- 4.1 Introduction
- 4.2 HetNet Model with Single RAT
- 4.2.1 Interference Distribution Model
- 4.2.2 Energy Efficiency of HetNet
- 4.3 Interference Migration Strategy
- 4.3.1 EE Maximization via Interference Migration
- 4.3.2 Interference Migration via Concurrent Transmission
- 4.4 Performance Evaluation for Single RAT
- 4.5 HetNet Model with Multiple RATs
- 4.6 EE Maximization via Concurrent Transmission
- 4.6.1 Problem Formulation
- 4.6.2 Existence of Feasible Solutions
- 4.6.3 MECT Scheme
- 4.7 Comparison of Solutions
- 4.8 Conclusions
- REFERENCES
- Chapter 5 Distributed Resource Allocation for Interference Mitigation
- 5.1 Introduction
- 5.2 Distributed Subchannel Allocation
- 5.2.1 System Model and Problem Formulation
- 5.2.2 Distributed Algorithm Design
- 5.2.2.1 Utility-Based Learning Models
- 5.2.2.2 Utility-Based Distributed Subchannel Allocation
- 5.2.2.3 Performance Analysis of UDSA
- 5.2.3 Results and Analysis
- 5.2.3.1 Simulation Scenario
- 5.2.3.2 Convergence
- 5.2.3.3 Performance Evaluation
- 5.2.3.4 A More Realistic Scenario
- 5.3 Distributed Power Control and Subchannel Allocation
- 5.3.1 System Model and Problem Formulation
- 5.3.2 Distributed Algorithm Design
- 5.3.2.1 NE for NTCG
- 5.3.2.2 Utility-Based Distributed Transmission Control Algorithm
- 5.3.2.3 Performance Analysis of UTC
- 5.3.3 Results and Analysis
- 5.3.3.1 Simulation Scenario
- 5.3.3.2 Convergence of UTC
- 5.3.3.3 Performance Comparison
- 5.4 Conclusions
- REFERENCES
- Chapter 6 Interference Alignment inMIMO Heterogeneous Networks
- 6.1 Introduction
- 6.2 Interference Alignment in Downlink Heterogeneous Networks
- 6.2.1 System Model
- 6.2.2 Two-Stage IA
- 6.2.2.1 IA Feasibility Conditions
- 6.2.2.2 Design of Two-Stage IA
- 6.2.2.3 One Macro User or Multiple Macro Users?
- 6.2.3 Extending to General Scenarios
- 6.2.3.1 One Macro User
- 6.2.3.2 Multiple Macro Users
- 6.2.4 Performance Results
- 6.2.4.1 Performance in an Ideal Partially Connected Interference Network
- 6.2.4.2 Performance in a Practical HetNet
- 6.3 Interference Alignment in Uplink Heterogeneous Networks
- 6.3.1 System Model
- 6.3.2 IAC Scheme
- 6.3.2.1 Construct Directed Conflict Graph
- 6.3.2.2 Design of IAC Scheme
- 6.3.2.3 Precoding Vector Design
- 6.3.2.4 Feasibility of the IAC Scheme
- 6.3.3 Determining the Optimal IAC Scheme
- 6.3.4 Performance Evaluation
- 6.4 Conclusions
- REFERENCES
- About the Authors
- Index
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