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Dräxler, Martin: Resource allocation and scheduling in dense mobile access networks. 2015
Inhalt
1 Introduction
1.1 Current Trends and Issues in Mobile Access Networks
1.1.1 Increasing Data Rate Demands
1.1.2 Densification of Mobile Access Networks
1.2 Scope & Goals
1.3 Approaches
1.3.1 Anticipatory Download Scheduling
1.3.2 Backhaul Reconfiguration
1.4 Contributions
1.5 Structure of the Thesis
2 Technical Background
2.1 Backhaul Networks
2.1.1 WDM-PON
2.1.2 Power Consumption
2.1.3 Software Defined Networks
2.2 Wireless Access Networks
2.2.1 Simple 3GPP Radio Model
2.2.2 GreenTouch Radio Model
2.2.3 Power Consumption
2.3 Wireless Coordination
2.3.1 Coordinated Multipoint Transmission and Reception
2.3.2 Software Defined Base Station Coordination
2.4 Application Layer
2.4.1 HTTP Live Streaming
2.4.2 Data Rate Prediction
3 State of the Art & Related Work on Anticipatory Download Scheduling
3.1 Smarter Phones and Networks
3.2 Related Work
4 Anticipatory Download Scheduling with Perfect Prediction
4.1 Problem Description
4.2 Optimal Solution
4.2.1 Model Assumptions
4.2.2 Mixed Integer Quadratically Constrained Program
4.2.3 Objective
4.2.4 Complexity
4.3 Fill Algorithm
4.4 Greedy Algorithms
4.4.1 BufferFirst Algorithm
4.4.2 QualityFirst Algorithm
4.5 Evaluation
4.5.1 Scenario
4.5.2 Results
4.5.3 Algorithm Running Times
4.6 Summary
5 Anticipatory Download Scheduling with Uncertain Prediction
5.1 Problem Description
5.2 Generic Predictor
5.2.1 Stochastic Model of Prediction Errors
5.2.2 Implementation
5.3 Evaluation of Perfect Prediction Algorithms with Uncertain Predictions
5.3.1 Scenario
5.3.2 Results
5.4 Plan Algorithm
5.5 Evaluation
5.5.1 Comparison with Perfect Prediction Schedulers
5.5.2 Influence of the Prediction Horizon
5.6 Summary
6 Anticipatory Download Scheduling for Energy Efficiency
6.1 Problem Description
6.2 Optimal Solution
6.2.1 OptBasic
6.2.2 OptFlex
6.3 Two-Phase Algorithm
6.3.1 Quality selection phase
6.3.2 Base station disabling phase
6.4 Evaluation
6.4.1 Scenarios
6.4.2 Three BSs Scenario Results
6.4.3 Train Scenario Results
6.5 Summary
7 Anticipatory Download Scheduling Prototype
7.1 System Design
7.1.1 Design Decisions
7.1.2 Architecture and Implementation
7.2 Prototype Implementation
7.2.1 Protocol Extension
7.2.2 Testbed
7.3 Evaluation
7.4 Summary
8 State of the Art & Related Work on Backhaul Network Reconfiguration
8.1 Backhaul Network Reconfiguration for CoMP
8.2 CROWD Controller Architecture
8.3 Related Work
9 Backhaul Network Reconfiguration
9.1 Problem Description
9.2 Optimal Solution
9.2.1 Integer Linear Program
9.2.2 Complexity
9.3 BFS Algorithm
9.3.1 Inputs
9.3.2 Algorithm Implementation
9.4 Evaluation
9.4.1 Scenario
9.4.2 Comparison: Optimization vs. Heuristic Algorithm
9.4.3 Heuristic Algorithm in Large Scenarios
9.4.4 Energy Efficiency
9.5 Summary
10 Backhaul Network Reconfiguration Extension for DenseNets
10.1 Problem Description
10.2 Hotspot BFS Algorithm
10.3 Evaluation
10.3.1 Hotspot Scenario
10.3.2 Hotspot Scenario Results
10.3.3 Non-Hotspot Scenario Extended Results
10.4 Summary
11 Backhaul Network Reconfiguration Prototype
11.1 Architecture
11.2 Implementation
11.2.1 Controller and CLC Manager Plugin
11.2.2 Backhaul Network with Maxinet
11.2.3 Prototype Setup
11.3 Evaluation
11.3.1 Scenario
11.3.2 Results
11.4 Summary
12 Conclusion & Future Research Directions
12.1 Discussion
12.2 Conclusion
12.3 Future Research Directions
Acronyms
Bibliography
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