Description

Book Synopsis

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 wi

    Table 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 Background 203

    12.2 System Model 204

    12.3 Intracell Cooperation: Distributed Scheduling 205

    12.4 Intercell Interference Mitigation/Avoidance 206

    12.5 Results and Discussion 209

    12.6 Practical Aspects 217

    12.6.3 Application in a CR Network 219

    12.6.4 Application in a Network with Femtocell Deployment 219

    12.6.5 Distributed Multicell Scheduling without User Cooperation 220

    12.7 Summary 221

    CHAPTER 13 SCHEDULING IN STATE-OF-THE-ART OFDMA-BASED WIRELESS SYSTEMS 223

    13.1 WiMAX Scheduling Overview 223

    13.2 LTE Scheduling Overview 228

    13.3 SCFDMA Versus OFDMA Scheduling 235

    13.4 Comparison to the LTE Power Control Scheme 240

    13.5 Summary 245

    CHAPTER 14 FUTURE RESEARCH DIRECTIONS 247

    14.1 Resource Allocation with Multiple Service Classes 247

    14.2 Network MIMO 247

    14.3 Coalitional Game Theory 248

    14.4 Resource Allocation with Femtocells 249

    14.5 Green Networks and Self-Organizing Networks 249

    14.6 Joint Uplink/Downlink Resource Allocation 250

    14.7 Joint Resource Allocation in Heterogeneous Networks 251

    14.8 Resource Allocation in Cognitive Radio Networks 252

    BIBLIOGRAPHY 255

    INDEX 269

Resource Allocation in Uplink Ofdma Wireless

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    A Hardback by Elias Yaacoub, Zaher Dawy

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      View other formats and editions of Resource Allocation in Uplink Ofdma Wireless by Elias Yaacoub

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 27/03/2012
      ISBN13: 9781118074503, 978-1118074503
      ISBN10: 1118074505

      Description

      Book Synopsis

      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 wi

        Table 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 Background 203

        12.2 System Model 204

        12.3 Intracell Cooperation: Distributed Scheduling 205

        12.4 Intercell Interference Mitigation/Avoidance 206

        12.5 Results and Discussion 209

        12.6 Practical Aspects 217

        12.6.3 Application in a CR Network 219

        12.6.4 Application in a Network with Femtocell Deployment 219

        12.6.5 Distributed Multicell Scheduling without User Cooperation 220

        12.7 Summary 221

        CHAPTER 13 SCHEDULING IN STATE-OF-THE-ART OFDMA-BASED WIRELESS SYSTEMS 223

        13.1 WiMAX Scheduling Overview 223

        13.2 LTE Scheduling Overview 228

        13.3 SCFDMA Versus OFDMA Scheduling 235

        13.4 Comparison to the LTE Power Control Scheme 240

        13.5 Summary 245

        CHAPTER 14 FUTURE RESEARCH DIRECTIONS 247

        14.1 Resource Allocation with Multiple Service Classes 247

        14.2 Network MIMO 247

        14.3 Coalitional Game Theory 248

        14.4 Resource Allocation with Femtocells 249

        14.5 Green Networks and Self-Organizing Networks 249

        14.6 Joint Uplink/Downlink Resource Allocation 250

        14.7 Joint Resource Allocation in Heterogeneous Networks 251

        14.8 Resource Allocation in Cognitive Radio Networks 252

        BIBLIOGRAPHY 255

        INDEX 269

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