Practical Channel-Aware Resource Allocation : With MATLAB and Python Code

This book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry. Presents radio resource allocation optimizations, including wireless channel conditions and incorporating the channel in a simple and practical fashion; Includes a mathematical analysis of resource allocation with a practical industry-like propagation model; Provides an introduction of terrain-based propagation modeling into radio resource allocation optimization Preface Introduction Contents Acronyms 1 Quality of Service and Resource Allocation in Communication Systems 1.1 Introduction 1.2 Current Trends in End-to-End QoS in Cellular Networks 1.3 Network Quality of Service Challenges 1.4 Focus of This Book 1.5 Book High Level Contribution and Organization References 2 Utility Functions and Radio Resource Allocation 2.1 Introduction 2.2 Radio Resource Allocation Literature Survey 2.3 Application Utility Functions 2.3.1 Application Utility Function MATLAB Code 2.4 Proportional Fairness and Frank Kelly Algorithm 2.5 Chapter Summary References 3 Resource Allocation Without Channel 3.1 Introduction 3.2 Resource Allocation: Centralized Architecture and Solution 3.2.1 Centralized Architecture Simulation 3.2.2 Centralized Resource Allocation in Real-World Implementation 3.2.3 MATLAB Code for Centralized Resource Allocation 3.3 Resource Allocation: Distributed Architecture and Solution 3.3.1 Distributed Resource Allocation Simulation 3.3.2 MATLAB Code for Distributed Resource Allocation 3.4 Mathematical Equivalence 3.5 Distributed or Centralized 3.6 Benchmark Comparison 3.7 Chapter Summary References 4 Radio Resource Block Allocation 4.1 Introduction 4.2 Continuous Optimization Relaxation 4.3 Radio Resource Block Allocation Optimization and Solution 4.3.1 Radio Resource Block Allocation Simulation Results 4.3.2 RB Allocation MATLAB Code 4.4 Chapter Summary References 5 Resource Allocation with Channel 5.1 Introduction 5.2 Channel Quality, Modulation, and Coding 5.3 Radio Resource Management 5.4 Resource Allocation Efficacy and Channel Conditions 5.5 Channel-Aware Distributed Resource Allocation Formulation 5.5.1 Determining ε 5.5.2 Determining K 5.6 Global Solution Existence 5.6.1 Solution for Channel-Aware EURA Optimization 5.6.2 IURA Global Optimal Solution 5.7 Simulation Results 5.7.1 MATLAB Code 5.8 Chapter Summary References 6 Propagation Modeling 6.1 Introduction 6.2 Geodesic Calculations 6.3 Databases 6.3.1 Terrain Profile 6.3.2 Surface Refractivity and Climate 6.4 ITM Propagation Pathloss 6.5 Python Code 6.5.1 Code Base Installation 6.5.2 Propagation Code Run 6.6 Chapter Summary References 7 Channel-Aware Resource Allocation Large Scale Simulation 7.1 Introduction 7.2 Large Scale Network Simulation 7.3 Chapter Summary References 8 Book Summary Index