توضیحاتی در مورد کتاب Wireless Edge Caching: Modeling, Analysis, and Optimization
نام کتاب : Wireless Edge Caching: Modeling, Analysis, and Optimization
عنوان ترجمه شده به فارسی : ذخیره سازی لبه بی سیم: مدل سازی، تجزیه و تحلیل و بهینه سازی
سری :
نویسندگان : Thang X. Vu
ناشر :
سال نشر :
تعداد صفحات : 431
ISBN (شابک) : 9781108480833 , 9781108691277
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 10 مگابایت
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فهرست مطالب :
Copyright
Contents
List of Contributors
Preface
1 - Introduction
1.1 History of Caching
1.2 Summary of the Book
References
Part I - Optimal Cache Placement and Delivery
2 - Coded Caching for Heterogeneous Wireless Networks
2.1 Introduction
2.2 Overview of Coded Caching
2.2.1 Setup and Notation
2.2.2 A Small Illustrative Example
2.2.3 Achievable Rate
2.2.4 Approximate Optimality
2.3 Non-uniform Content Popularity
2.3.1 The Single-User Setup
2.3.2 Multi-user Setup
2.4 Multiple Cache Access
2.4.1 Overview of Adaptive User-to-Cache Matching
2.4.2 System Model
2.4.3 Balancing Two Extremes
2.4.4 The Pure Coded Delivery (PCD) Scheme
2.4.5 The Pure Adaptive Matching (PAM) Scheme
2.4.6 The Hybrid Coding and Matching (HCM) Scheme
2.4.7 Simultaneous Cache Multi-access
2.5 Wireless Interference Networks: A Separation Architecture
2.5.1 Caching in Interference Networks
2.5.2 The Separation Architecture
2.5.3 Other Network Topologies
References
3 - Wireless Device-to-Device Caching Networks
3.1 Overview
3.2 General Network Model
3.3 Uncoded D2D Caching Networks Based on the Protocol Channel Model
3.3.1 Throughput-Outage Trade-off in Single-Hop D2D Caching Networks
3.3.2 Uncoded Multi-hop D2D Caching
3.4 Coded D2D Caching under the Protocol Model
3.4.1 Discussions
3.5 Physical Layer Caching in D2D Networks
3.5.1 D2D Caching with the Optimal Rule of Treating Interference by Noise
3.5.2 D2D Caching Networks with Poisson Point Processes
3.5.3 D2D Caching Networks with Cooperations
3.6 Mobile D2D Caching
3.6.1 Mobility-Aware D2D Caching Based on Contact and Intercontact Time
3.6.2 Mobility-Aware Centralized D2D Caching Based on Random Walks
References
4 - Cooperative Caching in Cloud-Assisted 5G Wireless Networks
4.1 Cloud-Assisted Wireless Networks
4.1.1 Cloud Radio Access Network (C-RAN)
4.1.2 Mobile-Edge Computing (MEC)
4.1.3 Co-deployment of C-RAN and MEC
4.2 State of the Art in Cooperative Caching
4.3 Cooperative Hierarchical Caching in C-RANs
4.3.1 System Model
4.3.2 Cache Management Algorithms
4.3.3 Performance Evaluation
4.4 Cooperative Caching and Video Transcoding in MEC Networks
4.4.1 System Model
4.4.2 Joint Cooperative Caching and Processing Algorithm
4.4.3 Performance Evaluation
4.5 Conclusions
References
5 - Stochastic Caching Schemes in Large Wireless Networks
5.1 Introduction
5.2 Network Model
5.3 Performance Metrics and Analysis
5.3.1 Cache-Hit Probability
5.3.2 Cache-Aided Throughput
5.3.3 Average Content Delivery Delay
5.4 Optimization of Probabilistic Caching Placement
5.4.1 Cache-Hit Maximization
5.4.2 Cache-Aided Throughput Maximization
5.4.3 Delay Minimization
5.5 Numerical and Simulation Results
5.6 Conclusions
References
6 - Joint Policies for Caching, Routing, and Channel Selection in Next-Generation Wireless Edge Systems
6.1 Background
6.2 Related Work and Our Advances
6.3 System Modeling
6.3.1 Network Setting Characterization
6.3.2 Network Coding
6.3.3 Transmission and Interference Ranges and Capacity of a Link
6.3.4 Capturing Interference via a Conflict Graph and Its Independent Sets
6.4 Formulation of Joint Caching, Routing, and Channel Selection Policy Problem
6.5 Column Generation for Efficient Approximation Solution
6.5.1 Formulation of Regulated Master Subproblem
6.5.2 Formulation of Slave Pricing Subproblem
6.5.3 An Algorithm for an Approximation Solution with ǫ Guarantees
6.6 Experimental Evaluation
6.6.1 Outline
6.6.2 Experimental Setup
6.6.3 Experimental Results and Discussion
6.7 Benefits for Video Quality of Streaming Application
6.8 Concluding Remarks
References
Part II - Proactive Caching
7 - Learning Popularity for Proactive Caching in Cellular Networks
7.1 Introduction
7.1.1 Background and Motivation
7.1.2 Approach and Main Outcomes
7.1.3 Optimal Caching Policy
7.2 Learning and Predicting Popularity of Unpublished Videos
7.2.1 Feature Extraction with Deep Neural Networks
7.2.2 Feature Clustering
7.2.3 Probability Estimation in Multi-class Classification
7.2.4 Performance Evaluation
7.3 Published Set Popularity Updating
7.3.1 Cumulative Loss Expectation
7.3.2 Two-Expert Scenario
7.4 Summary
7.5 Appendix: Proof of Theorem 7.1
References
8 - Wireless Edge Caching for Mobile Social Networks
8.1 Introduction
8.2 Edge Caching for Mobile Social Networks: Challenges and Solutions
8.2.1 Hierarchical Social-Network Content Caching
8.2.2 Social-Aware Content Caching Placement and Delivery
8.2.3 Proactive and Cooperative Social-Network Caching
8.2.4 Delay Tolerance Social-Network Caching Policies
8.2.5 Privacy and Security for Edge Caching in Mobile Social Networks
8.3 Dynamic Edge Caching Approach for Mobile Social Networks
8.3.1 Authentication
8.3.2 Dynamic Demand Prediction
8.3.3 Optimal Caching Strategy
8.3.4 Business Model of MSN Service Provider
8.3.5 Performance Evaluation
8.4 Conclusions and Open Issues
References
9 - A Proactive and Big DataEnabled Caching Analysis Perspective
9.1 Introduction
9.2 Big Data Analytics for Telcos: Requirements, Challenges, and Benefits
9.2.1 Big Data Networking Challenges and Trends
9.2.2 When Big Data Analytics Meets Caching
9.3 System Model
9.4 Big Data Platform
9.4.1 Platform Description
9.4.2 Data Extraction Procedures
9.4.3 Traffic Characteristics
9.5 Numerical Results and Discussions
9.6 Conclusions
References
10 - Mobility-Aware Caching in Cellular Networks
10.1 Optimal Caching in Static Networks
10.2 Mobility in Cellular Networks
10.3 Overview of System Model
10.3.1 Mobility Model
10.3.2 Cell Selection Policy
10.4 Optimal Caching in Cellular Networks
10.4.1 Mobile User
10.4.2 Static User
10.5 Results and Discussion
10.5.1 Mobility in Ultra-dense Networks
10.5.2 Effect of the Number of Attempts
10.5.3 Comparison of P1 and P2
10.5.4 Comparison of the Mobile and Static Cases as a Function of n for P2
10.5.5 Effect of Library Size (K) on the Hit Probability
10.6 Outlook
References
Part III - Cache-Aided Interference and Physical Layer Management
11 - Cache-Enabled Cloud Radio Access Networks
11.1 Introduction
11.2 Cache-Enabled Cloud RAN Model
11.2.1 Network Model
11.2.2 Content-Centric BS Clustering
11.2.3 Caching at BSs
11.2.4 Backhauling
11.3 Caching at BSs for Cooperation in Access Link
11.3.1 Joint BS Clustering and Beam-Forming Design
11.3.2 Performance Evaluation
11.4 Caching at BSs for Multicasting in Backhaul Link
11.4.1 Joint BS Cache Allocation and Beam-Forming Design
11.4.2 Performance Evaluation
11.5 Conclusions and Open Issues
References
12 - Fundamentals of Coded Caching for Interference Management
12.1 Introduction
12.2 Preliminaries of Interference Networks and Interference Management
12.2.1 Interference Channel
12.2.2 X Channel
12.2.3 Cooperative X-Multicast Channel
12.3 System Model and Performance Metric
12.3.1 Network Model
12.3.2 Two-Phase Operation Model
12.3.3 Performance Metric
12.4 NDT Analysis in Wireless Interference Networks
12.4.1 Parametric Caching Scheme
12.4.2 Content Delivery Strategy
12.4.3 Achievable NDT
12.4.4 MIMO Interference Network
12.5 Partially Connected Interference Network
12.5.1 Network Model
12.5.2 Achievable Scheme
12.5.3 Achievable NDT
12.5.4 Application to Circular Network
12.6 Conclusion and Open Issues
References
13 - Full-Duplex Radios for Edge Caching
13.1 Introduction
13.1.1 Full-Duplex Communications
13.2 System Model
13.2.1 Network Model
13.2.2 Cache-Aided Network Nodes
13.2.3 Channel Model
13.2.4 Signal-to-Interference Ratio
13.3 Caching Model
13.4 Performance Analysis
13.5 Numerical Results and Discussion
13.6 Conclusions
References
14 - Caching in Mobile Millimeter Wave: Sub-6 GHz Networks
14.1 Background, Related Works, and Summary of Contributions
14.1.1 Related Works
14.1.2 Summary of Contributions
14.2 System Model
14.2.1 Channel Model
14.2.2 Antenna Gain Pattern
14.2.3 Traffic Model
14.2.4 Handover Process and Relevant Parameters
14.3 Caching-Enabled Mobility Management
14.3.1 Probability of Caching via mmW Links
14.3.2 Statistics of the Caching Duration
14.4 Performance Analysis of the Proposed Cache-Enabled Mobility Management Scheme
14.4.1 Average Caching Data Rate
14.4.2 Analysis of Performance Gains from the Proposed Caching-Based Mobility Management
14.5 Proposed Cache-Enabled Mobility Management Based on Dynamic Matching
14.5.1 Mobility Management as a Matching Game
14.5.2 Mobility Management Based on Dynamic Matching
14.5.3 Proposed Algorithm for Dynamically Stable Mobility Management
14.6 Simulation Results
14.6.1 Performance Analysis for Single-User Scenarios
14.6.2 Performance Analysis of the Developed Algorithm
14.7 Summary
References
Part IV - Energy-Efficiency, Security, Economic, and Deployment
15 - Energy-Efficient Deployment in Wireless Edge Caching
15.1 Introduction
15.2 Signal Transmission and Caching Model
15.2.1 Caching Model
15.2.2 Transmission Model
15.3 Energy-Efficiency Analysis
15.3.1 EE Analysis for Uncoded Caching Strategy
15.3.2 EE Analysis for Coded Caching Strategy
15.3.3 Comparison between the Two Strategies
15.4 Energy-Efficiency Maximization in Edge Caching Wireless Networks
15.4.1 EE Maximization for Uncoded Caching Strategy
15.4.2 EE Maximization for Coded Caching Strategy
15.5 Minimization of Content Delivery Time
15.5.1 Minimization of Delivery Time for Uncoded Caching Strategy
15.5.2 Minimization of Delivery Time for Coded Caching Strategy
15.6 Non-uniform File Popularity Distribution
15.7 Numerical Results
15.7.1 Energy Efficiency Performance
15.7.2 Delivery Time Performance
15.8 Conclusions
References
16 - Cache-Enabled UAVs in Wireless Networks
16.1 Introduction
16.2 Cache-Enabled UAVs for Users’ QoE Maximization
16.2.1 Motivation
16.2.2 Basic Problem
16.2.3 Conceptor Echo State Networks for Content Request Distribution and Mobility Pattern Predictions
16.2.4 Optimal Content Caching and Locations for UAVs
16.2.5 Simulation Results
16.3 Summary
References
17 - Physical Layer Security for Edge Caching Wireless Networks
17.1 Introduction
17.1.1 Literature Survey
17.2 System Model
17.2.1 Network Topology
17.2.2 Caching and Backhaul Loading
17.2.3 Secure Cooperative MIMO Transmission
17.3 Problem Formulation
17.3.1 Achievable Secrecy Rate
17.3.2 Second-Stage Online Delivery Optimization
17.3.3 First-Stage Offline Cache Training
17.4 Problem Solution
17.4.1 Optimal Solution of Problem R0 in Large Cache Capacity Regime
17.4.2 Suboptimal Solution of Problem R0
17.4.3 Solution of Problem Q0
17.5 Numerical Examples
17.5.1 Performance Comparisons with Baseline Schemes
17.5.2 Impact of Number of Antennas
17.6 Research Challenges and Opportunities
17.6.1 Trustworthiness of Cache-Enabled Devices
17.6.2 Imperfect, Statistical, and no CSI Knowledge about the Eavesdropper
17.6.3 Active Eavesdropper
17.6.4 Other Forms of Cache-Enabled PLS Techniques
17.7 Summary
17.8 Appendix
17.8.1 Proof of Theorem 17.2
References
18 - Mobile VR Edge Delivery: Computing, Caching, and Communication Trade-Offs
18.1 Introduction
18.2 Related Work
18.3 System Models
18.3.1 VR Data Model
18.3.2 The 360◦ Streaming Model
18.3.3 VR Computing and Data Complexity
18.3.4 Cellular Network Model
18.3.5 Reward Model
18.4 Problem Formulation
18.5 Polynomial-Time Approximation
18.6 Experiment Evaluation
18.7 Concluding Remarks
References
19 - Economic Ecosystems in Elastic Wireless Edge Caching
19.1 Introduction
19.2 Background
19.3 Wireless Edge Caching versus In-Network Caching
19.4 Elastic Wireless Cache Lease, Content Caching, and Routing
19.4.1 Scenario
19.4.2 Motivating Example of Elastic Cache Lease
19.4.3 System Model
19.4.4 Problem Formulation
19.4.5 Lyapunov-Based Elastic CDN Strategy
19.5 Open Research Issues
19.6 Conclusion
References
Index