Read more
Informationen zum Autor ELIAS E. YAACOUB , PhD, is currently a research scientist at the Qatar University Wireless Innovations Center. His research interests include scheduling and interference mitigation in multi-cell OFDMA and LTE networks. He has authored numerous journal and conference papers on these topics. Dr. Yaacoub is a member of the IEEE and a member of the Lebanese Order of Engineers. ZAHER DAWY , PhD, is an associate professor at the American University of Beirut (AUB). His research interests include cooperative and distributed communications, resource allocation, cellular technologies, and computational biology. He received the IEEE Communications Society Outstanding Young Researcher Award for Europe, Middle East, and Africa Region in 2011 and the AUB 2008 Teaching Excellence Award. Dr. Dawy is a senior member of the IEEE and Chair of the IEEE Communications Society, Lebanon Chapter. Klappentext Tackling problems from the least complicated to the most, Resource Allocation in Uplink OFDMA Wireless Systems provides readers with a comprehensive look at resource allocation and scheduling techniques (for both single and multi-cell deployments) in uplink OFDMA wireless networks-relying on convex optimization and game theory to thoroughly analyze performance.Inside, readers will find topics and discussions on:* Formulating and solving the uplink ergodic sum-rate maximization problem* Proposing suboptimal algorithms that achieve a close performance to the optimal case at a considerably reduced complexity and lead to fairness when the appropriate utility is used* Investigating the performance and extensions of the proposed suboptimal algorithms in a distributed base station scenario* Studying distributed resource allocation where users take part in the scheduling process, and considering scenarios with and without user collaboration* Formulating the sum-rate maximization problem in a multi-cell scenario, and proposing efficient centralized and distributed algorithms for intercell interference mitigation* Discussing the applicability of the proposed techniques to state-of-the-art wireless technologies, LTE and WiMAX, and proposing relevant extensionsAlong with schematics and figures featuring simulation results, Resource Allocation in Uplink OFDMA Wireless Systems is a valuable book for?wireless communications and cellular systems professionals and students. Zusammenfassung This book treats the problems of single cell resource allocation, multiple cells resource allocation, centralized resource allocation, distributed resource allocation, the case of collaboration between base stations and the case without base station collaboration, in addition to the case of user cooperation and the case without user cooperation. Inhaltsverzeichnis PREFACE xiii ACKNOWLEDGMENTS xv ACRONYMS xvii CHAPTER 1 INTRODUCTION 1 1.1 Evolution of Wireless Communication Systems 1 1.2 Orthogonal Frequency Division Multiple Access 2 1.3 Organization of this Book 5 CHAPTER 2 BACKGROUND ON DOWNLINK RESOURCE ALLOCATION IN OFDMA WIRELESS NETWORKS 9 2.1 Centralized Single Cell Scheduling 9 2.2 Distributed Scheduling 13 2.3 Scheduling in Multicell Scenarios 14 2.3.1 Multicell Scheduling in LTE 16 2.4 Summary 18 CHAPTER 3 ERGODIC SUM-RATE MAXIMIZATION WITH CONTINUOUS RATES 19 3.1 Background 19 3.2 Problem Formulation 21 3.3 Problem Solution 23 3.4 Achievable Rate Region 28 3.5 Results and Discussion 35 3.6 Summary 41 CHAPTER 4 ERGODIC SUM-RATE MAXIMIZATION WITH DISCRETE RATES 43 4.1 Background 43 4.2 Problem Formulation 44 4.3 Problem Solution 46 4.4 Results and Discussion 52 4.5 Summary 57 CHAPTER 5 GENERALIZATION TO UTILITY MAXIMIZATION 59 5.1 Background 59 5....
List of contents
PREFACE xiii
ACKNOWLEDGMENTS xv
ACRONYMS xvii
CHAPTER 1 INTRODUCTION 1
1.1 Evolution of Wireless Communication Systems 1
1.2 Orthogonal Frequency Division Multiple Access 2
1.3 Organization of this Book 5
CHAPTER 2 BACKGROUND ON DOWNLINK RESOURCE ALLOCATION IN OFDMA WIRELESS NETWORKS 9
2.1 Centralized Single Cell Scheduling 9
2.2 Distributed Scheduling 13
2.3 Scheduling in Multicell Scenarios 14
2.3.1 Multicell Scheduling in LTE 16
2.4 Summary 18
CHAPTER 3 ERGODIC SUM-RATE MAXIMIZATION WITH CONTINUOUS RATES 19
3.1 Background 19
3.2 Problem Formulation 21
3.3 Problem Solution 23
3.4 Achievable Rate Region 28
3.5 Results and Discussion 35
3.6 Summary 41
CHAPTER 4 ERGODIC SUM-RATE MAXIMIZATION WITH DISCRETE RATES 43
4.1 Background 43
4.2 Problem Formulation 44
4.3 Problem Solution 46
4.4 Results and Discussion 52
4.5 Summary 57
CHAPTER 5 GENERALIZATION TO UTILITY MAXIMIZATION 59
5.1 Background 59
5.2 Ergodic Utility Maximization with Continuous Rates 60
5.3 Ergodic Utility Maximization with Discrete Rates 64
5.4 Summary 68
CHAPTER 6 SUBOPTIMAL IMPLEMENTATION OF ERGODIC SUM-RATE MAXIMIZATION 69
6.1 Background 69
6.2 Suboptimal Approximation of the Continuous Rates Solution 71
6.3 Suboptimal Approximation of the Discrete Rates Solution 73
6.4 Complexity Analysis of the Suboptimal Algorithms 76
6.5 Results and Discussion 78
6.6 Summary 88
CHAPTER 7 SUBOPTIMAL IMPLEMENTATION WITH PROPORTIONAL FAIRNESS 89
7.1 Background 89
7.2 Proportional Fair Scheduling 91
7.3 Low Complexity Utility Maximization Algorithms 94
7.4 Proportional Fair Utilities 100
7.5 Results and Discussion 101
7.6 Summary 112
CHAPTER 8 SCHEDULING WITH DISTRIBUTED BASE STATIONS 113
8.1 Background 113
8.2 System Model 115
8.3 Scheduling with Distributed Base Stations 118
8.4 Results and Discussion 120
8.5 Distributed Base Stations Versus Relays 128
8.6 Distributed Base Stations Versus Femtocells 131
8.7 Summary 133
CHAPTER 9 DISTRIBUTED SCHEDULING WITH USER COOPERATION 135
9.1 Background 135
9.2 Cooperative Distributed Scheduling Scheme 136
9.3 Distributed Scheduling Algorithm 140
9.4 Results and Discussion 142
9.5 Summary 149
CHAPTER 10 DISTRIBUTED SCHEDULING WITHOUT USER COOPERATION 151
10.1 Background 151
10.2 Noncooperative Distributed Scheduling Scheme 153
10.3 Comparison to Existing Schemes 155
10.4 Analysis of Measurement Inaccuracies 156
10.5 Results and Discussion 160
10.6 Optimization of Transmission Probabilities 165
10.7 Practical Considerations 169
10.8 Summary 171
CHAPTER 11 CENTRALIZED MULTICELL SCHEDULING WITH INTERFERENCE MITIGATION 173
11.1 Background 173
11.2 Problem Formulation 175
11.3 Iterative Pricing-Based Power Control Solution 178
11.4 Pricing Game with Centralized Control 184
11.5 Suboptimal Scheduling Scheme Using Pricing-Based Power Control 186
11.6 Suboptimal Scheduling Scheme Using Probabilistic Transmission 190
11.7 Results and Discussion 191
11.8 Summary 201
CHAPTER 12 DISTRIBUTED MULTICELL SCHEDULING WITH INTERFERENCE MITIGATION 203
12.1 Back
