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Wireless Edge Caching: Modeling, Analysis, and Optimization [Kõva köide]

Edited by (Université du Luxembourg), Edited by (Singapore University of Technology and Design), Edited by , Edited by (Université du Luxembourg)
  • Formaat: Hardback, 424 pages, kõrgus x laius x paksus: 250x174x26 mm, kaal: 970 g, Worked examples or Exercises; 18 Tables, black and white; 2 Halftones, black and white; 107 Line drawings, black and white
  • Ilmumisaeg: 11-Mar-2021
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1108480837
  • ISBN-13: 9781108480833
Teised raamatud teemal:
Wireless Edge Caching: Modeling, Analysis, and OptimizationSuurem pilt
  • Formaat: Hardback, 424 pages, kõrgus x laius x paksus: 250x174x26 mm, kaal: 970 g, Worked examples or Exercises; 18 Tables, black and white; 2 Halftones, black and white; 107 Line drawings, black and white
  • Ilmumisaeg: 11-Mar-2021
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1108480837
  • ISBN-13: 9781108480833
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781108480833.html
Märksõnad:
"Understand both uncoded and coded caching techniques in future wireless network design. Expert authors present new techniques that will help you to improve backhaul, load minimization, deployment cost reduction, security, energy efficiency and the quality of the user experience. Covering topics from high-level architectures to specific requirement-oriented caching design and analysis, including big-data enabled caching, caching in cloud-assisted 5G networks, and security, this is an essential resource for academic researchers, postgraduate students and engineers working in wireless communications"--

Muu info

Discover the latest research results for both uncoded and coded caching techniques in future wireless network design.
List of Contributors
xiv
Preface xix
1 Introduction
1(4)
Ejder Bastug
Thang X. Vu
Symeon Chatzinotas
Tony Q.S. Quek
1.1 History of Caching
1(1)
1.2 Summary of the Book
2(1)
References
3(2)
Part I Optimal Cache Placement and Delivery
5(120)
2 Coded Caching for Heterogeneous Wireless Networks
7(30)
Nikhil Karamchandani
Jad Hachem
Suhas Diggavi
Sharayu Moharir
2.1 Introduction
7(1)
2.2 Overview of Coded Caching
8(6)
2.2.1 Setup and Notation
9(1)
2.2.2 A Small Illustrative Example
10(1)
2.2.3 Achievable Rate
11(2)
2.2.4 Approximate Optimality
13(1)
2.3 Non-uniform Content Popularity
14(7)
2.3.1 The Single-User Setup
16(3)
2.3.2 Multi-user Setup
19(2)
2.4 Multiple Cache Access
21(9)
2.4.1 Overview of Adaptive User-to-Cache Matching
22(1)
2.4.2 System Model
22(1)
2.4.3 Balancing Two Extremes
23(1)
2.4.4 The Pure Coded Delivery (PCD) Scheme
24(1)
2.4.5 The Pure Adaptive Matching (PAM) Scheme
25(1)
2.4.6 The Hybrid Coding and Matching (HCM) Scheme
26(2)
2.4.7 Simultaneous Cache Multi-access
28(2)
2.5 Wireless Interference Networks: A Separation Architecture
30(5)
2.5.1 Caching in Interference Networks
30(1)
2.5.2 The Separation Architecture
31(3)
2.5.3 Other Network Topologies
34(1)
References
35(2)
3 Wireless Device-to-Device Caching Networks
37(29)
Mingyue Ji
3.1 Overview
37(1)
3.2 General Network Model
38(2)
3.3 Uncoded D2D Caching Networks Based on the Protocol Channel Model
40(9)
3.3.1 Throughput-Outage Trade-off in Single-Hop D2D Caching Networks
40(3)
3.3.2 Uncoded Multi-hop D2D Caching
43(6)
3.4 Coded D2D Caching under the Protocol Model
49(2)
3.4.1 Discussions
50(1)
3.5 Physical Layer Caching in D2D Networks
51(8)
3.5.1 D2D Caching with the Optimal Rule of Treating Interference by Noise
52(1)
3.5.2 D2D Caching Networks with Poisson Point Processes
53(2)
3.5.3 D2D Caching Networks with Cooperations
55(4)
3.6 Mobile D2D Caching
59(4)
3.6.1 Mobility-Aware D2D Caching Based on Contact and Intercontact Time
59(2)
3.6.2 Mobility-Aware Centralized D2D Caching Based on Random Walks
61(2)
References
63(3)
4 Cooperative Caching in Cloud-Assisted 5G Wireless Networks
66(23)
Tuyen X. Tran
Guosen Yue
Dario Pompili
4.1 Cloud-Assisted Wireless Networks
66(2)
4.1.1 Cloud Radio Access Network (C-RAN)
67(1)
4.1.2 Mobile-Edge Computing (MEC)
67(1)
4.1.3 Co-deployment of C-RAN and MEC
68(1)
4.2 State of the Art in Cooperative Caching
68(1)
4.3 Cooperative Hierarchical Caching in C-RANs
69(9)
4.3.1 System Model
70(2)
4.3.2 Cache Management Algorithms
72(4)
4.3.3 Performance Evaluation
76(2)
4.4 Cooperative Caching and Video Transcoding in MEC Networks
78(8)
4.4.1 System Model
79(2)
4.4.2 Joint Cooperative Caching and Processing Algorithm
81(2)
4.4.3 Performance Evaluation
83(3)
4.5 Conclusions
86(1)
References
86(3)
5 Stochastic Caching Schemes in Large Wireless Networks
89(17)
Zheng Chen
Nikolaos Pappas
Marios Kountouris
5.1 Introduction
89(2)
5.2 Network Model
91(1)
5.3 Performance Metrics and Analysis
92(4)
5.3.1 Cache-Hit Probability
92(1)
5.3.2 Cache-Aided Throughput
93(2)
5.3.3 Average Content Delivery Delay
95(1)
5.4 Optimization of Probabilistic Caching Placement
96(3)
5.4.1 Cache-Hit Maximization
96(2)
5.4.2 Cache-Aided Throughput Maximization
98(1)
5.4.3 Delay Minimization
98(1)
5.5 Numerical and Simulation Results
99(4)
5.6 Conclusions
103(1)
References
104(2)
6 Joint Policies for Caching, Routing, and Channel Selection in Next-Generation Wireless Edge Systems
106(19)
Jacob Chakareski
6.1 Background
107(1)
6.2 Related Work and Our Advances
107(2)
6.3 System Modeling
109(3)
6.3.1 Network Setting Characterization
109(1)
6.3.2 Network Coding
110(1)
6.3.3 Transmission and Interference Ranges and Capacity of a Link
110(1)
6.3.4 Capturing Interference via a Conflict Graph and Its Independent Sets
111(1)
6.4 Formulation of Joint Caching, Routing, and Channel Selection Policy Problem
112(1)
6.5 Column Generation for Efficient Approximation Solution
113(4)
6.5.1 Formulation of Regulated Master Subproblem
113(1)
6.5.2 Formulation of Slave Pricing Subproblem
114(1)
6.5.3 An Algorithm for an Approximation Solution with e Guarantees
115(2)
6.6 Experimental Evaluation
117(3)
6.6.1 Outline
117(1)
6.6.2 Experimental Setup
117(1)
6.6.3 Experimental Results and Discussion
117(3)
6.7 Benefits for Video Quality of Streaming Application
120(1)
6.8 Concluding Remarks
121(1)
References
121(4)
Part II Proactive Caching
125(90)
7 Learning Popularity for Proactive Caching in Cellular Networks
127(19)
Khai Nguyen Doan
Thang Van Nguyen
Tony Q.S. Quek
7.1 Introduction
127(3)
7.1.1 Background and Motivation
128(1)
7.1.2 Approach and Main Outcomes
128(1)
7.1.3 Optimal Caching Policy
129(1)
7.2 Learning and Predicting Popularity of Unpublished Videos
130(6)
7.2.1 Feature Extraction with Deep Neural Networks
130(1)
7.2.2 Feature Clustering
130(1)
7.2.3 Probability Estimation in Multi-class Classification
131(1)
7.2.4 Performance Evaluation
132(4)
7.3 Published Set Popularity Updating
136(5)
7.3.1 Cumulative Loss Expectation
139(1)
7.3.2 Two-Expert Scenario
139(2)
7.4 Summary
141(1)
7.5 Appendix: Proof of Theorem 7.1
142(2)
References
144(2)
8 Wireless Edge Caching for Mobile Social Networks
146(27)
Yuris Mulya Saputra
Dinh Thai Hoang
Diep Nguyen
Eryk Dutkiewicz
Dusit Niyato
8.1 Introduction
146(3)
8.2 Edge Caching for Mobile Social Networks: Challenges and Solutions
149(10)
8.2.1 Hierarchical Social-Network Content Caching
149(2)
8.2.2 Social-Aware Content Caching Placement and Delivery
151(3)
8.2.3 Proactive and Cooperative Social-Network Caching
154(2)
8.2.4 Delay Tolerance Social-Network Caching Policies
156(1)
8.2.5 Privacy and Security for Edge Caching in Mobile Social Networks
157(2)
8.3 Dynamic Edge Caching Approach for Mobile Social Networks
159(9)
8.3.1 Authentication
160(1)
8.3.2 Dynamic Demand Prediction
161(3)
8.3.3 Optimal Caching Strategy
164(1)
8.3.4 Business Model of MSN Service Provider
165(1)
8.3.5 Performance Evaluation
166(2)
8.4 Conclusions and Open Issues
168(1)
References
169(4)
9 A Proactive and Big Data-Enabled Caching Analysis Perspective
173(20)
Engin Zeydan
Ejder Bastug
Mehdi Bennis
Merouane Debbah
9.1 Introduction
173(2)
9.2 Big Data Analytics for Telcos: Requirements, Challenges, and Benefits
175(1)
9.2.1 Big Data Networking Challenges and Trends
175(1)
9.2.2 When Big Data Analytics Meets Caching
176(1)
9.3 System Model
176(5)
9.4 Big Data Platform
181(5)
9.4.1 Platform Description
182(1)
9.4.2 Data Extraction Procedures
183(2)
9.4.3 Traffic Characteristics
185(1)
9.5 Numerical Results and Discussions
186(3)
9.6 Conclusions
189(1)
References
190(3)
10 Mobility-Aware Caching in Cellular Networks
193(22)
Shankar Krishnan
Mehrnaz Afshang
Harpreet S. Dhillon
10.1 Optimal Caching in Static Networks
193(1)
10.2 Mobility in Cellular Networks
194(1)
10.3 Overview of System Model
195(3)
10.3.1 Mobility Model
196(1)
10.3.2 Cell Selection Policy
197(1)
10.4 Optimal Caching in Cellular Networks
198(8)
10.4.1 Mobile User
198(6)
10.4.2 Static User
204(2)
10.5 Results and Discussion
206(4)
10.5.1 Mobility in Ultra-dense Networks
206(1)
10.5.2 Effect of the Number of Attempts
207(1)
10.5.3 Comparison of PI and V2
208(1)
10.5.4 Comparison of the Mobile and Static Cases as a Function of n for VI
209(1)
10.5.5 Effect of Library Size (K) on the Hit Probability
209(1)
10.6 Outlook
210(1)
References
211(4)
Part III Cache-Aided Interference and Physical Layer Management
215(86)
11 Cache-Enabled Cloud Radio Access Networks
217(19)
Meixia Tao
Erkai Chen
Wei Yu
Ya-Feng Liu
11.1 Introduction
217(2)
11.2 Cache-Enabled Cloud RAN Model
219(4)
11.2.1 Network Model
219(1)
11.2.2 Content-Centric BS Clustering
219(2)
11.2.3 Caching at BSs
221(1)
11.2.4 Backhauling
221(2)
11.3 Caching at BSs for Cooperation in Access Link
223(4)
11.3.1 Joint BS Clustering and Beam-Forming Design
223(2)
11.3.2 Performance Evaluation
225(2)
11.4 Caching at BSs for Multicasting in Backhaul Link
227(6)
11.4.1 Joint BS Cache Allocation and Beam-Forming Design
227(2)
11.4.2 Performance Evaluation
229(4)
11.5 Conclusions and Open Issues
233(1)
References
234(2)
12 Fundamentals of Coded Caching for Interference Management
236(21)
Meixia Tao
Fan Xu
Youlong Cao
Kangqi Liu
12.1 Introduction
236(1)
12.2 Preliminaries of Interference Networks and Interference Management
237(4)
12.2.1 Interference Channel
237(1)
12.2.2 X Channel
238(1)
12.2.3 Cooperative X-Multicast Channel
239(2)
12.3 System Model and Performance Metric
241(3)
12.3.1 Network Model
242(1)
12.3.2 Two-Phase Operation Model
242(1)
12.3.3 Performance Metric
243(1)
12.4 NDT Analysis in Wireless Interference Networks
244(7)
12.4.1 Parametric Caching Scheme
244(1)
12.4.2 Content Delivery Strategy
245(1)
12.4.3 Achievable NDT
246(4)
12.4.4 MIMO Interference Network
250(1)
12.5 Partially Connected Interference Network
251(4)
12.5.1 Network Model
251(2)
12.5.2 Achievable Scheme
253(1)
12.5.3 Achievable NDT
254(1)
12.5.4 Application to Circular Network
254(1)
12.6 Conclusion and Open Issues
255(1)
References
255(2)
13 Full-Duplex Radios for Edge Caching
257(22)
Italo Atzeni
Marco Maso
13.1 Introduction
258(4)
13.1.1 Full-Duplex Communications
260(2)
13.2 System Model
262(4)
13.2.1 Network Model
262(1)
13.2.2 Cache-Aided Network Nodes
262(2)
13.2.3 Channel Model
264(1)
13.2.4 Signal-to-Interference Ratio
265(1)
13.3 Caching Model
266(1)
13.4 Performance Analysis
267(4)
13.5 Numerical Results and Discussion
271(3)
13.6 Conclusions
274(1)
References
275(4)
14 Caching in Mobile Millimeter Wave: Sub-6 GHz Networks
279(22)
Omid Semiari
Walid Saad
Mehdi Bennis
14.1 Background, Related Works, and Summary of Contributions
279(2)
14.1.1 Related Works
279(1)
14.1.2 Summary of Contributions
280(1)
14.2 System Model
281(3)
14.2.1 Channel Model
281(1)
14.2.2 Antenna Gain Pattern
282(1)
14.2.3 Traffic Model
283(1)
14.2.4 Handover Process and Relevant Parameters
284(1)
14.3 Caching-Enabled Mobility Management
284(3)
14.3.1 Probability of Caching via mmW Links
285(1)
14.3.2 Statistics of the Caching Duration
285(2)
14.4 Performance Analysis of the Proposed Cache-Enabled Mobility Management Scheme
287(1)
14.4.1 Average Caching Data Rate
287(1)
14.4.2 Analysis of Performance Gains from the Proposed Caching-Based Mobility Management
287(1)
14.5 Proposed Cache-Enabled Mobility Management Based on Dynamic Matching
288(6)
14.5.1 Mobility Management as a Matching Game
290(2)
14.5.2 Mobility Management Based on Dynamic Matching
292(1)
14.5.3 Proposed Algorithm for Dynamically Stable Mobility Management
292(2)
14.6 Simulation Results
294(4)
14.6.1 Performance Analysis for Single-User Scenarios
294(1)
14.6.2 Performance Analysis of the Developed Algorithm
295(3)
14.7 Summary
298(1)
References
298(3)
Part IV Energy-Efficiency, Security, Economic, and Deployment
301(107)
15 Energy-Efficient Deployment in Wireless Edge Caching
303(19)
Thang X. Vu
Symeon Chatzinotas
Bjorn Ottersten
15.1 Introduction
303(2)
15.2 Signal Transmission and Caching Model
305(3)
15.2.1 Caching Model
305(2)
15.2.2 Transmission Model
307(1)
15.3 Energy-Efficiency Analysis
308(2)
15.3.1 EE Analysis for Uncoded Caching Strategy
308(1)
15.3.2 EE Analysis for Coded Caching Strategy
309(1)
15.3.3 Comparison between the Two Strategies
309(1)
15.4 Energy-Efficiency Maximization in Edge Caching Wireless Networks
310(2)
15.4.1 EE Maximization for Uncoded Caching Strategy
310(1)
15.4.2 EE Maximization for Coded Caching Strategy
311(1)
15.5 Minimization of Content Delivery Time
312(3)
15.5.1 Minimization of Delivery Time for Uncoded Caching Strategy
312(2)
15.5.2 Minimization of Delivery Time for Coded Caching Strategy
314(1)
15.6 Non-uniform File Popularity Distribution
315(1)
15.7 Numerical Results
316(3)
15.7.1 Energy Efficiency Performance
316(2)
15.7.2 Delivery Time Performance
318(1)
15.8 Conclusions
319(1)
References
320(2)
16 Cache-Enabled UAVs in Wireless Networks
322(22)
Mingzhe Chen
Walid Saad
Changchuan Yin
16.1 Introduction
322(1)
16.2 Cache-Enabled UAVs for Users' QoE Maximization
323(17)
16.2.1 Motivation
324(1)
16.2.2 Basic Problem
325(5)
16.2.3 Conceptor Echo State Networks for Content Request Distribution and Mobility Pattern Predictions
330(3)
16.2.4 Optimal Content Caching and Locations for UAVs
333(4)
16.2.5 Simulation Results
337(3)
16.3 Summary
340(1)
References
341(3)
17 Physical Layer Security for Edge Caching Wireless Networks
344(24)
Lin Xiang
Derrick W. K. Ng
Robert Schober
Vincent W. S. Wong
17.1 Introduction
344(2)
17.1.1 Literature Survey
344(2)
17.2 System Model
346(4)
17.2.1 Network Topology
346(2)
17.2.2 Caching and Backhaul Loading
348(1)
17.2.3 Secure Cooperative MIMO Transmission
349(1)
17.3 Problem Formulation
350(3)
17.3.1 Achievable Secrecy Rate
350(1)
17.3.2 Second-Stage Online Delivery Optimization
351(1)
17.3.3 First-Stage Offline Cache Training
352(1)
17.4 Problem Solution
353(4)
17.4.1 Optimal Solution of Problem R0 in Large Cache Capacity Regime
353(2)
17.4.2 Suboptimal Solution of Problem R0
355(2)
17.4.3 Solution of Problem Q0
357(1)
17.5 Numerical Examples
357(4)
17.5.1 Performance Comparisons with Baseline Schemes
358(2)
17.5.2 Impact of Number of Antennas
360(1)
17.6 Research Challenges and Opportunities
361(2)
17.6.1 Trustworthiness of Cache-Enabled Devices
361(1)
17.6.2 Imperfect, Statistical, and no CSI Knowledge about the Eavesdropper
362(1)
17.6.3 Active Eavesdropper
362(1)
17.6.4 Other Forms of Cache-Enabled PLS Techniques
362(1)
17.7 Summary
363(1)
17.8 Appendix
363(1)
17.8.1 Proof of Theorem 17.2
363(1)
References
364(4)
18 Mobile VR Edge Delivery: Computing, Caching, and Communication Trade-Offs
368(19)
Jacob Chakareski
18.1 Introduction
368(3)
18.2 Related Work
371(1)
18.3 System Models
371(5)
18.3.1 VR Data Model
371(2)
18.3.2 The 360° Streaming Model
373(1)
18.3.3 VR Computing and Data Complexity
374(1)
18.3.4 Cellular Network Model
375(1)
18.3.5 Reward Model
375(1)
18.4 Problem Formulation
376(1)
18.5 Polynomial-Time Approximation
377(2)
18.6 Experiment Evaluation
379(3)
18.7 Concluding Remarks
382(1)
References
383(4)
19 Economic Ecosystems in Elastic Wireless Edge Caching
387(21)
George Iosifidis
Jeongho Kwak
Georgios Paschos
19.1 Introduction
387(3)
19.2 Background
390(1)
19.3 Wireless Edge Caching versus In-Network Caching
391(1)
19.4 Elastic Wireless Cache Lease, Content Caching, and Routing
392(12)
19.4.1 Scenario
392(1)
19.4.2 Motivating Example of Elastic Cache Lease
393(1)
19.4.3 System Model
394(2)
19.4.4 Problem Formulation
396(1)
19.4.5 Lyapunov-Based Elastic CDN Strategy
397(7)
19.5 Open Research Issues
404(1)
19.6 Conclusion
405(1)
References
405(3)
Index 408
Thang X. Vu is research associate at Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg. Symeon Chatzinotas is currently Senior Research Scientist at the University of Luxembourg and a Visiting Professor at the University of Parma, Italy. Ejder Batu is a Member of Technical Staff at Nokia Bell Labs. Tony Q. S. Quek is a Professor at Singapore University of Technology and Design. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.