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9781118074503

Resource Allocation in Uplink OFDMA Wireless Systems Optimal Solutions and Practical Implementations

by ;
  • ISBN13:

    9781118074503

  • ISBN10:

    1118074505

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2012-03-13
  • Publisher: Wiley-IEEE Press
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Supplemental Materials

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Summary

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. It is valuable supplemental reading in wireless communications courses, cellular systems courses, and similar courses.

Author Biography

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.

Table of Contents

Prefacep. xiii
Acknowledgmentsp. xv
Acronymsp. xvii
Introductionp. 1
Evolution of Wireless Communication Systemsp. 1
Orthogonal Frequency Division Multiple Accessp. 2
Organization of this Bookp. 5
Background on Downlink Resource Allocation in OFDMA Wireless Networksp. 9
Centralized Single Cell Schedulingp. 9
Continuous Versus Discrete Ratesp. 11
Optimal Versus Suboptimal Schedulingp. 12
Distributed Schedulingp. 13
Scheduling in Multicell Scenariosp. 14
Multicell Scheduling in LTEp. 16
Summaryp. 18
Ergodic Sum-Rate Maximization with Continuous Ratesp. 19
Backgroundp. 19
Problem Formulationp. 21
Problem Solutionp. 23
Solution of the Dual Problemp. 24
Duality Gap Analysisp. 26
Complexity Analysisp. 28
Solution Approach in a MIMO Scenariop. 28
Achievable Rate Regionp. 28
K-user Achievable Rate Region without Rate Constraintsp. 29
K-user Achievable Rate Region with Rate Constraintsp. 30
Application to the Two-Users Rate Regionp. 32
Results and Discussionp. 35
Simulation Parametersp. 35
Multiplier Calculation and Convergencep. 35
Duality Gap Resultsp. 38
Sum-Rate Resultsp. 38
Summaryp. 41
Ergodic Sum-Rate Maximization with Discrete Ratesp. 43
Backgroundp. 43
Problem Formulationp. 44
Problem Solutionp. 46
Duality Gap Analysisp. 50
Complexity Analysisp. 52
Results and Discussionp. 52
Simulation Modelp. 52
Continuous Versus Discrete Ratesp. 53
Impact of Modulation and Coding Schemesp. 54
Impact of Varying the User Weightsp. 56
Summaryp. 57
Generalization to Utility Maximizationp. 59
Backgroundp. 59
Ergodic Utility Maximization with Continuous Ratesp. 60
Duality Gapp. 62
Ergodic Utility Maximization with Discrete Ratesp. 64
Duality Gapp. 67
Summaryp. 68
Suboptimal Implementation of Ergodic Sum-Rate Maximizationp. 69
Backgroundp. 69
Suboptimal Approximation of the Continuous Rates Solutionp. 71
Suboptimal Approximation of the Discrete Rates Solutionp. 73
Complexity Analysis of the Suboptimal Algorithmsp. 76
Complexity Analysis in the Continuous Rates Casep. 76
Complexity Analysis in the Discrete Rates Casep. 77
Results and Discussionp. 78
Simulation Parametersp. 78
Results of the Continuous Rates Approximationp. 78
Results of the Discrete Rates Approximationp. 80
Results in the Case of Imperfect CSIp. 81
Comparison to Existing Algorithmsp. 84
Summaryp. 88
Suboptimal Implementation with Proportional Fairnessp. 89
Backgroundp. 89
Proportional Fair Schedulingp. 91
PF Scheduling Methodsp. 91
Equivalence of PF and NBSp. 92
Low Complexity Utility Maximization Algorithmsp. 94
Complexity Analysis of the Utility Maximization Algorithmsp. 97
Comparison to Existing Algorithmsp. 98
Rate Calculationsp. 99
Proportional Fair Utilitiesp. 100
Results and Discussionp. 101
Simulation Modelp. 101
PFF and PFTF Utility Comparisonp. 101
RB-based Scheduling: Greedy and PFF Utilitiesp. 103
Comparison to Existing Algorithmsp. 107
Independent versus Equal Fading over the Subcarriers of an RBp. 111
Summaryp. 112
Scheduling with Distributed Base Stationsp. 113
Backgroundp. 113
System Modelp. 115
Scheduling with Distributed Base Stationsp. 118
Scheduling Algorithm for DBS Scenariosp. 118
Complexity Analysis of the DBS Scheduling Algorithmp. 120
Results and Discussionp. 120
Simulation Modelp. 120
Sum-Rate Resultsp. 121
Fairness Analysisp. 123
Location Optimizationp. 126
Mobility Considerationsp. 127
Distributed Base Stations Versus Relaysp. 128
Distributed Base Stations Versus Femtocellsp. 131
Summaryp. 133
Distributed Scheduung with User Cooperationp. 135
Backgroundp. 135
Cooperative Distributed Scheduling Schemep. 136
System Modelp. 136
CSI Quantization Schemep. 138
Price of Anarchyp. 139
Distributed Scheduling Algorithmp. 140
Rate Calculations with Quantized CSIp. 142
Results and Discussionp. 142
Simulation Modelp. 142
Greedy Scheduling Resultsp. 143
PF Scheduling Resultsp. 145
Summaryp. 149
Distributed Scheduling without User Cooperationp. 151
Backgroundp. 151
Noncooperative Distributed Scheduling Schemep. 153
System Modelp. 153
Distributed Scheduling Schemep. 153
Comparison to Existing Schemesp. 155
Analysis of Measurement Inaccuraciesp. 156
Results and Discussionp. 160
Simulation Modelp. 160
Simulation Resultsp. 161
Optimization of Transmission Probabilitiesp. 165
Optimization Methodsp. 165
Optimization Resultsp. 166
Practical Considerationsp. 169
Collisionsp. 169
Collaboration Between Mobile Usersp. 169
Role of the Central Controlling Devicesp. 170
Extension to a Single Cell Scenariop. 170
Extension to a Multiple Cell Scenariop. 171
Cognitive Radio and 4Gp. 171
Summaryp. 171
Centralized Multicell Scheduling with Interference Mitigationp. 173
Backgroundp. 173
Problem Formulationp. 175
Iterative Pricing-Based Power Control Solutionp. 178
Single Cell Problem Formulationp. 178
Single Cell Scheduling Solutionp. 179
Iterative Pricing Gamep. 182
Pricing Game with Centralized Controlp. 184
Online versus Offline Implementationp. 186
Suboptimal Scheduling Scheme Using Pricing-Based Power Controlp. 186
Utility Functionsp. 186
Setting the Prices in the Power Control Schemep. 189
Scheduling Algorithmp. 189
Suboptimal Scheduling Scheme Using Probabilistic Transmissionp. 190
Results and Discussionp. 191
Simulation Modelp. 191
Comparison of the Pricing-Based Power Control Schemesp. 191
Results of the Suboptimal Pricing-Based Power Control Schemesp. 196
Results of the Suboptimal Probabilistic Scheduling Schemep. 198
Summaryp. 201
Distributed Multicell Scheduling with Interference Mitigationp. 203
Backgroundp. 203
System Modelp. 204
Intracell Cooperation: Distributed Schedulingp. 205
Intercell Interference Mitigation/Avoidancep. 206
Intercell Cooperation: Transparent Pricing Schemep. 207
Intercell Cooperation: Pricing-Based Power Control Schemep. 208
Interference Avoidance in the Absence of Intercell Cooperation: Probabilistic Transmission Schemep. 209
Results and Discussionp. 209
Simulation Modelp. 209
Greedy Allocation Resultsp. 210
Proportional Fair Allocation Resultsp. 213
Additional Commentsp. 216
Practical Aspectsp. 217
Application in a Local Area Networkp. 217
Application in a Distributed Base Station Scenariop. 217
Application in a CR Networkp. 219
Application in a Network with Femtocell Deploymentp. 219
Distributed Multicell Scheduling without User Cooperationp. 220
Summaryp. 221
Scheduling in State-Of-The-Art OFDMA-Based Wireless Systemsp. 223
WiMAX Scheduling Overviewp. 223
Enhancements in the Next Generation of WiMAXp. 226
Intercell Interference Issues in WiMAXp. 227
Relation of the Work in this Book to WiMAX Schedulingp. 227
LTE Scheduling Overviewp. 228
Enhancements in the Next Generation of LTEp. 233
Intercell Interference Issues in LTEp. 233
Relation of the Work in this Book to LTE Schedulingp. 234
SCFDMA Versus OFDMA Schedulingp. 235
SCFDMA Rate Calculationsp. 236
Scheduling Algorithm with Contiguous RBsp. 236
Results and Discussionp. 237
Comparison to the LTE Power Control Schemep. 240
LTE Multicell Interference Mitigation Schemesp. 241
Results and Discussionp. 242
Summaryp. 245
Future Research Directionsp. 247
Resource Allocation with Multiple Service Classesp. 247
Network MIMOp. 247
Coalitional Game Theoryp. 248
Resource Allocation with Femtocellsp. 249
Green Networks and Self-Organizing Networksp. 249
Joint Uplink/Downlink Resource Allocationp. 250
Joint Resource Allocation in Heterogeneous Networksp. 251
Resource Allocation in Cognitive Radio Networksp. 252
Bibliographyp. 255
Indexp. 269
Table of Contents provided by Ingram. All Rights Reserved.

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