RADIO RESOURCE MANAGEMENT IN MULTI-TIER CELLULAR WIRELESS NETWORKS -- CONTENTS -- PREFACE -- CHAPTER 1 OVERVIEW OF MULTI-TIER CELLULAR WIRELESS NETWORKS -- 1.1 Introduction -- 1.2 Small Cells: Femtocells, Picocells, and Microcells -- 1.3 Historical Perspective -- 1.4 Overview of LTE Networks -- 1.4.1 The Core Network -- 1.4.2 The Access Network -- 1.4.3 The Air Interface -- 1.4.4 Radio Base Stations in LTE -- 1.4.5 Mobility Management -- 1.5 Overview of LTE-Advanced Networks -- 1.6 LTE Femtocells (HeNBs) -- 1.6.1 Access Network for HeNBs -- 1.6.2 Access Modes of HeNBs -- 1.6.3 Mobility Management -- 1.7 3G Femtocells -- 1.7.1 Network Entities -- 1.7.2 Air Interface -- 1.8 Channel Models for Small Cell Networks -- 1.8.1 3GPP Model -- 1.8.2 ITU Model -- 1.9 Multi-Tier Cellular Wireless Network Modeling and Abstraction -- 1.10 Technical Challenges in Small Cell Deployment -- References -- CHAPTER 2 RESOURCE ALLOCATION APPROACHES IN MULTI-TIER NETWORKS -- 2.1 Introduction -- 2.2 Design Issues for Resource Allocation in Multi-Tier Networks -- 2.3 Interference Management Approaches -- 2.3.1 Femto-Aware Spectrum Arrangement Scheme -- 2.3.2 Clustering of Small Cells -- 2.3.3 Beam Subset Selection Strategy -- 2.3.4 Collaborative Frequency Scheduling -- 2.3.5 Power Control Approach -- 2.3.6 Cognitive Radio Approach -- 2.3.7 Fractional Frequency Reuse (FFR) and Resource Partitioning -- 2.3.8 Resource Scheduling Strategies -- 2.4 Qualitative Comparison Among Interference Management Approaches -- 2.5 Future Research Directions -- References -- CHAPTER 3 RESOURCE ALLOCATION IN OFDMA-BASED MULTI-TIER CELLULAR NETWORKS -- 3.1 Resource Allocation for OFDMA-Based Homogeneous Networks -- 3.1.1 Physical-Layer Model -- 3.1.2 Downlink Single-Cell Resource Allocation -- 3.1.3 Uplink Single-Cell Resource Allocation.

3.1.4 Resource Allocation for Homogeneous Multi-Cell OFDMA Networks -- 3.2 Fair Resource Allocation for Two-Tier OFDMA Networks -- 3.2.1 Uplink Resource Allocation Problem -- 3.2.2 Feasibility of a Sub-Channel Assignment Solution -- 3.2.3 Optimal Algorithm and Its Complexity Analysis -- 3.2.4 Sub-Optimal and Distributed Algorithm -- 3.2.5 Numerical Examples -- 3.3 Chapter Summary and Open Research Directions -- References -- CHAPTER 4 RESOURCE ALLOCATION FOR CLUSTERED SMALL CELLS IN TWO-TIER OFDMA NETWORKS -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 Clustering and Coalition Formations of Femtocells -- 4.2.2 Resource Allocation in Clustered Femtocells -- 4.3 System Model and Assumptions -- 4.4 Joint Sub-Channel and Power Allocation in Femtocell Clusters -- 4.5 Joint Sub-Channel and Power Allocation Using Convex Reformulation -- 4.6 Sub-Channel Allocation -- 4.6.1 Branch and Bound -- 4.6.2 Linear Programming -- 4.6.3 Lagrangian Relaxation -- 4.6.4 Heuristic Scheme -- 4.6.5 Feasibility Guarantee Algorithm -- 4.7 Power Allocation -- 4.8 Performance Evaluation -- 4.8.1 Parameters -- 4.8.2 Numerical Results -- 4.9 Summary and Future Research Directions -- References -- CHAPTER 5 RESOURCE ALLOCATION IN TWO-TIER NETWORKS USING FRACTIONAL FREQUENCY REUSE -- 5.1 Introduction -- 5.2 Different FFR Schemes -- 5.2.1 Strict FFR Scheme -- 5.2.2 Soft FFR Scheme -- 5.2.3 Sectored FFR (FFR-3) Scheme -- 5.3 Optimal Static Fractional Frequency Reuse (OSFFR): An Improved FFR-Based Scheme -- 5.3.1 System Model and Assumptions -- 5.3.2 Channel Allocation -- 5.3.3 Optimization of Spatial-Channel Allocation Parameters -- 5.4 Performance Evaluation -- 5.4.1 Performance Metrics -- 5.4.2 Simulation Parameters -- 5.4.3 Simulation Results -- 5.5 Summary and Future Research Directions -- References.

CHAPTER 6 CALL ADMISSION CONTROL IN FRACTIONAL FREQUENCY REUSE-BASED TWO-TIER NETWORKS -- 6.1 Related Work -- 6.2 Call Admission Control Model -- 6.3 Call Admission Control Policy for FFR-Based Multi-Tier Cellular Networks -- 6.3.1 Problem Formulation -- 6.3.2 Optimal CAC Policy -- 6.4 Performance Evaluation -- 6.4.1 Optimal CAC Policy -- 6.4.2 Call Blocking/Dropping Probability Performance -- 6.4.3 Comparison of Call-Level QoS -- 6.5 Summary and Future Research Directions -- Appendix -- State Transition Probability -- Proof of Monotonically Non-Decreasing Property of Cost Function -- Proof of Convexity of Cost Function -- References -- CHAPTER 7 GAME THEORETIC APPROACHES FOR RESOURCE MANAGEMENT IN MULTI-TIER NETWORKS -- 7.1 Introduction to Game Theory -- 7.1.1 Motivations of Using Game Theory -- 7.1.2 Types of Games -- 7.1.3 Noncooperative Game -- 7.1.4 Cooperative Game -- 7.1.5 Game Theory and Radio Resource Management in Multi-Tier Networks -- 7.2 Game Formulations for Power Control and Sub-Channel Allocation -- 7.2.1 Utility-Based Distributed SINR Adaptation -- 7.2.2 Multi-Tier Cognitive Cellular Radio Networks -- 7.2.3 On-Demand Resource Sharing in Multi-Tier Networks -- 7.3 Game Formulations for Pricing -- 7.3.1 Price-Based Spectrum Sharing -- 7.3.2 Energy-Efficient Spectrum Sharing and Power Allocation -- 7.4 Game Formulations for Access Control -- 7.4.1 Refunding Framework for Hybrid Access Small Cell Network -- 7.4.2 Selection of Network Tier -- 7.4.3 Coalitional Game for Cooperation among Macrocells and Small Cells -- 7.4.4 Cooperative Interference Management -- 7.4.5 Coalition-Based Access Control -- 7.5 Future Research Directions -- References -- CHAPTER 8 RESOURCE ALLOCATION IN CDMA-BASED MULTI-TIER HETNETS -- 8.1 Power Control and Resource Allocation Techniques for Homogeneous CDMA Networks -- 8.1.1 Target-SINR-Tracking Power Control.

8.1.2 Power Control Design from Game Theoretic View -- 8.1.3 Joint Base Station Association and Power Control -- 8.2 Game Theoretic Based Power Control for Two-Tier CDMA HetNets -- 8.2.1 Guaranteeing QoS for Macro Users -- 8.2.2 Power Adaptation and Admission Control Algorithm -- 8.2.3 Numerical Examples -- 8.3 Joint Base Station Association and Power Control for CDMA HetNets -- 8.3.1 Base Station Association and Power Control Algorithm -- 8.3.2 Hybrid Power Control Algorithm -- 8.3.3 Hybrid Power Control Adaptation Algorithm -- 8.3.4 Application to Two-Tier Macrocell-Femtocell Networks -- 8.3.5 Numerical Examples -- 8.4 Distributed Pareto-Optimal Power Control for Two-Tier CDMA HetNets -- 8.4.1 Distributed Pareto-Optimal SINR Assignment -- 8.4.2 Distributed Algorithm for Femtocell Utility Maximization and Macrocell SINR Balancing -- 8.4.3 Numerical Examples -- 8.5 Summary and Open Research Issues -- References -- CHAPTER 9 SELF-ORGANIZING SMALL CELL NETWORKS -- 9.1 Self-Organizing Networks -- 9.1.1 Motivations of Self-Organization -- 9.1.2 Use Cases of Self-Organizing Small Cell Networks -- 9.1.3 Classification of Self-Organizing Small Cell Networks -- 9.1.4 Self-x Concept -- 9.1.5 Interference Management for Self-Organizing Networks -- 9.2 Self-Configuration -- 9.2.1 Dynamic Traffic Off-loading -- 9.2.2 Coverage Optimization of Small Cells -- 9.2.3 Dynamic Frequency Allocation -- 9.2.4 Coordinated Spectrum Assignment -- 9.3 Self-Optimization -- 9.3.1 Resource Allocation for Different Service Classes -- 9.3.2 Self-Organizing Small Cell Management Architecture -- 9.3.3 Evolutionary and Learning-Based Power Control -- 9.3.4 Coordination Mechanism and Stochastic Geometry Analysis -- 9.4 Self-Healing -- 9.4.1 Collaborative Resource Allocation -- 9.4.2 Transfer Learning-Based Diagnosis for Configuration Troubleshooting -- 9.5 Future Research Directions.

References -- CHAPTER 10 RESOURCE ALLOCATION IN MULTI-TIER NETWORKS WITH COGNITIVE SMALL CELLS -- 10.1 Introduction -- 10.2 Background -- 10.3 Analysis of Tier-Association Probability -- 10.3.1 System Model and Assumptions -- 10.3.2 Tier Association Probability -- 10.3.3 Numerical Results -- 10.4 Cognition Techniques for Small Cells -- 10.5 Discussions and Future Research Directions -- References -- INDEX -- Wiley Series on Adaptive and Cognitive Dynamic Systems.