Content

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  1 Introduction
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  1.1 Current Trends and Issues in Mobile Access Networks
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   1.1.1 Increasing Data Rate Demands
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   1.1.2 Densification of Mobile Access Networks
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   1.2 Scope & Goals
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  1.3 Approaches
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   1.3.1 Anticipatory Download Scheduling
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   1.3.2 Backhaul Reconfiguration
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   1.4 Contributions
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   1.5 Structure of the Thesis
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  2 Technical Background
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   2.1 Backhaul Networks
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   2.1.1 WDM-PON
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   2.1.2 Power Consumption
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   2.1.3 Software Defined Networks
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   2.2 Wireless Access Networks
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   2.2.1 Simple 3GPP Radio Model
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   2.2.2 GreenTouch Radio Model
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   2.2.3 Power Consumption
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  2.3 Wireless Coordination
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   2.3.1 Coordinated Multipoint Transmission and Reception
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   2.3.2 Software Defined Base Station Coordination
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  2.4 Application Layer
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   2.4.1 HTTP Live Streaming
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   2.4.2 Data Rate Prediction
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  3 State of the Art & Related Work on Anticipatory Download Scheduling
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   3.1 Smarter Phones and Networks
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   3.2 Related Work
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   4 Anticipatory Download Scheduling with Perfect Prediction
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   4.1 Problem Description
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  4.2 Optimal Solution
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   4.2.1 Model Assumptions
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   4.2.2 Mixed Integer Quadratically Constrained Program
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   4.2.3 Objective
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   4.2.4 Complexity
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   4.3 Fill Algorithm
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  4.4 Greedy Algorithms
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   4.4.1 BufferFirst Algorithm
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   4.4.2 QualityFirst Algorithm
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  4.5 Evaluation
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   4.5.1 Scenario
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   4.5.2 Results
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   4.5.3 Algorithm Running Times
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   4.6 Summary
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   5 Anticipatory Download Scheduling with Uncertain Prediction
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   5.1 Problem Description
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   5.2 Generic Predictor
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   5.2.1 Stochastic Model of Prediction Errors
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   5.2.2 Implementation
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  5.3 Evaluation of Perfect Prediction Algorithms with Uncertain Predictions
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   5.3.1 Scenario
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   5.3.2 Results
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   5.4 Plan Algorithm
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  5.5 Evaluation
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   5.5.1 Comparison with Perfect Prediction Schedulers
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   5.5.2 Influence of the Prediction Horizon
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   5.6 Summary
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   6 Anticipatory Download Scheduling for Energy Efficiency
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   6.1 Problem Description
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   6.2 Optimal Solution
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   6.2.1 OptBasic
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   6.2.2 OptFlex
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  6.3 Two-Phase Algorithm
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   6.3.1 Quality selection phase
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   6.3.2 Base station disabling phase
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  6.4 Evaluation
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   6.4.1 Scenarios
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   6.4.2 Three BSs Scenario Results
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   6.4.3 Train Scenario Results
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   6.5 Summary
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  7 Anticipatory Download Scheduling Prototype
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   7.1 System Design
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   7.1.1 Design Decisions
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   7.1.2 Architecture and Implementation
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  7.2 Prototype Implementation
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   7.2.1 Protocol Extension
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   7.2.2 Testbed
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   7.3 Evaluation
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   7.4 Summary
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  8 State of the Art & Related Work on Backhaul Network Reconfiguration
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   8.1 Backhaul Network Reconfiguration for CoMP
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   8.2 CROWD Controller Architecture
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   8.3 Related Work
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   9 Backhaul Network Reconfiguration
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   9.1 Problem Description
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  9.2 Optimal Solution
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   9.2.1 Integer Linear Program
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   9.2.2 Complexity
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   9.3 BFS Algorithm
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   9.3.1 Inputs
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   9.3.2 Algorithm Implementation
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  9.4 Evaluation
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   9.4.1 Scenario
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   9.4.2 Comparison: Optimization vs. Heuristic Algorithm
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   9.4.3 Heuristic Algorithm in Large Scenarios
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   9.4.4 Energy Efficiency
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   9.5 Summary
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   10 Backhaul Network Reconfiguration Extension for DenseNets
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   10.1 Problem Description
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   10.2 Hotspot BFS Algorithm
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  10.3 Evaluation
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   10.3.1 Hotspot Scenario
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   10.3.2 Hotspot Scenario Results
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   10.3.3 Non-Hotspot Scenario Extended Results
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   10.4 Summary
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   11 Backhaul Network Reconfiguration Prototype
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   11.1 Architecture
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  11.2 Implementation
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   11.2.1 Controller and CLC Manager Plugin
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   11.2.2 Backhaul Network with Maxinet
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   11.2.3 Prototype Setup
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  11.3 Evaluation
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   11.3.1 Scenario
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   11.3.2 Results
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   11.4 Summary
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  12 Conclusion & Future Research Directions
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   12.1 Discussion
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   12.2 Conclusion
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   12.3 Future Research Directions
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   Acronyms
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   Bibliography