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Table of Contents
Preface; Acknowledgments; Contents; Acronyms; 1 Introduction; 1.1 Motivation and Background; 1.2 Carrier Aggregation; 1.2.1 Motivation for Developing Carrier Aggregation with a QoE approach; 1.2.2 Deployment Scenarios for Carrier Aggregation; 1.2.3 Types of Carrier Aggregation; 1.3 Previous Studies in Resource Allocation for Spectrum Sharing; 1.4 Overview; 1.5 Book Organization; References; 2 Utility Functions and Resource Allocation for Spectrum Sharing; 2.1 User Applications Utility Functions; 2.2 Utility Proportional Fairness Resource Allocation.
2.3 Utility Proportional Fairness Resource Allocation with Carrier Aggregation2.4 MATLAB Code; References; 3 Multi-Stage Resource Allocation with Carrier Aggregation; 3.1 Distributed Resource Allocation with Carrier Aggregation; 3.1.1 Problem Formulation; 3.1.1.1 Single-Carrier Optimization Problem; 3.1.2 Primary and Secondary Carriers Optimization Problem; 3.1.2.1 Primary Carrier; 3.1.2.2 Secondary Carrier; 3.1.2.3 Equivalence; 3.1.3 Multi-Stage Distributed Resource Allocation Algorithm; 3.1.4 Optimal Rate Allocation Numerical Results.
3.1.4.1 Convergence Dynamics for the First Stage of the Algorithm3.1.4.2 Convergence Dynamics for the Second Stage of the Algorithm; 3.1.4.3 Impact of Dynamic User Activities in the Convergence of the RA Algorithms; 3.2 Centralized Resource Allocation with Carrier Aggregation; 3.2.1 Multi-Carrier System Model; 3.2.2 Multi-Carrier Optimization Problem; 3.2.2.1 The Price Selection Problem and eNodeB Sorting; 3.2.2.2 Multi-Carrier RA Optimization Problem; 3.2.3 A Price Selective Centralized RA with CA Algorithm; 3.2.4 Multi-Carrier Rate Allocation Numerical Results; 3.2.4.1 Carrier Offered Price.
3.2.4.2 Aggregated Rates3.3 Summary and Conclusion; 3.4 C++ Codes; 3.4.1 First Code; 3.4.2 Second Code; References; 4 Resource Allocation with User Discrimination for Spectrum Sharing; 4.1 Spectrum Sharing Between Public Safety and Commercial Users in Cellular Networks; 4.1.1 Spectrum Sharing Problem Formulation; 4.1.2 Spectrum Sharing Optimization; 4.1.2.1 The First Case RA Optimization Problem When i=1Mri, ste"; 4.1.2.2 The Second Case RA Optimization Problem When i=1Mri, st
4.1.4.1 Convergence Dynamics When i=1Mri, ste"4.1.4.2 Convergence Dynamics When i=1Mri, st
2.3 Utility Proportional Fairness Resource Allocation with Carrier Aggregation2.4 MATLAB Code; References; 3 Multi-Stage Resource Allocation with Carrier Aggregation; 3.1 Distributed Resource Allocation with Carrier Aggregation; 3.1.1 Problem Formulation; 3.1.1.1 Single-Carrier Optimization Problem; 3.1.2 Primary and Secondary Carriers Optimization Problem; 3.1.2.1 Primary Carrier; 3.1.2.2 Secondary Carrier; 3.1.2.3 Equivalence; 3.1.3 Multi-Stage Distributed Resource Allocation Algorithm; 3.1.4 Optimal Rate Allocation Numerical Results.
3.1.4.1 Convergence Dynamics for the First Stage of the Algorithm3.1.4.2 Convergence Dynamics for the Second Stage of the Algorithm; 3.1.4.3 Impact of Dynamic User Activities in the Convergence of the RA Algorithms; 3.2 Centralized Resource Allocation with Carrier Aggregation; 3.2.1 Multi-Carrier System Model; 3.2.2 Multi-Carrier Optimization Problem; 3.2.2.1 The Price Selection Problem and eNodeB Sorting; 3.2.2.2 Multi-Carrier RA Optimization Problem; 3.2.3 A Price Selective Centralized RA with CA Algorithm; 3.2.4 Multi-Carrier Rate Allocation Numerical Results; 3.2.4.1 Carrier Offered Price.
3.2.4.2 Aggregated Rates3.3 Summary and Conclusion; 3.4 C++ Codes; 3.4.1 First Code; 3.4.2 Second Code; References; 4 Resource Allocation with User Discrimination for Spectrum Sharing; 4.1 Spectrum Sharing Between Public Safety and Commercial Users in Cellular Networks; 4.1.1 Spectrum Sharing Problem Formulation; 4.1.2 Spectrum Sharing Optimization; 4.1.2.1 The First Case RA Optimization Problem When i=1Mri, ste"; 4.1.2.2 The Second Case RA Optimization Problem When i=1Mri, st
4.1.4.1 Convergence Dynamics When i=1Mri, ste"4.1.4.2 Convergence Dynamics When i=1Mri, st