000 11582nam a2200937 i 4500
001 7906175
003 IEEE
005 20220712205946.0
006 m o d
007 cr |n|||||||||
008 170507s2016 mau ob 001 eng d
010 _z 2016054028 (print)
020 _a9781119125099
_qelectronic
020 _z9781119125105
_qcloth
020 _z9781119125129
_qePub
020 _z9781119125112
_qAdobe PDF
024 7 _a10.1002/9781119125099
_2doi
035 _a(CaBNVSL)mat07906175
035 _a(IDAMS)0b00006485c91527
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
100 1 _aAnsari, Nirwan,
_d1958-
_eauthor.
_929075
245 1 0 _aGreen mobile networks :
_ba networking perspective /
_cNirwan Ansari, Tao Han.
264 1 _aHoboken, New Jersey, USA :
_bJohn Wiley & Sons, Inc.,
_c[2017]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2017]
300 _a1 PDF (328 pages).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aWiley - IEEE
500 _aIncludes index.
505 0 _a-- Preface ix -- List of Abbreviations xi -- Part I Green Mobile Networking Technologies 1 -- 1. Fundamental Green Networking Technologies 3 -- 1.1 Energy Efficient Multi-cell Cooperation 3 -- 1.2 Heterogeneous Networking 4 -- 1.3 Mobile Traffic Offloading 6 -- 1.3.1 Infrastructure Based Mobile Traffic Offloading 7 -- 1.3.2 Ad-hoc Based Mobile Traffic Offloading 7 -- 1.3.3 User / BS Associations in Heterogeneous Mobile Networks 7 -- 1.4 Device-to-Device Communications and Proximity Services 8 -- 1.5 Powering Mobile Networks With Renewable Energy 9 -- 1.6 Green Communications via Cognitive Radio Communications 9 -- 1.7 Green Communications via Optimizing Mobile Content Delivery 11 -- 2. Multi-cell Cooperation Communications 15 -- 2.1 Traffic Intensity Aware Multi-cell Cooperation 15 -- 2.1.1 Cooperation to Estimate Traffic Demands 17 -- 2.1.2 Cooperation to Optimize Switching Off Strategy 18 -- 2.2 Energy Aware Multi-cell Cooperation 19 -- 2.3 Energy Efficient CoMP Transmission 19 -- 2.3.1 Increasing Energy Efficiency for Cell Edge Communications 19 -- 2.3.2 Enabling More BSs Into Sleep Mode 22 -- 2.4 Summary and Future Research 22 -- 2.4.1 Coalition Formation 23 -- 2.4.2 Green Energy Utilization 24 -- 2.4.3 Incentive Mechanism 24 -- 2.5 Questions 24 -- 3. Powering Mobile Networks with Green Energy 25 -- 3.1 Green Energy Models: Generation and Consumption 25 -- 3.1.1 Green Power Generation 25 -- 3.1.2 Mobile Network Energy Consumption 25 -- 3.2 Green Energy Powered Mobile Base Stations 26 -- 3.2.1 Green Energy Provisioning 26 -- 3.2.2 Base Station Resource Management 27 -- 3.3 Green Energy Powered Mobile Networks 28 -- 3.3.1 Off-Grid Green Mobile Networks 29 -- 3.3.2 On-Grid Green Mobile Networks 30 -- 3.3.3 Mixture of Green Base Stations and Grid Powered Base Stations 31 -- 3.4 Summary 32 -- 3.5 Questions 32 -- 4. Spectrum and Energy Harvesting Wireless Networks 33 -- 4.1 Spectrum Harvesting Techniques 33 -- 4.1.1 Energy Efficiency in Spectrum Harvesting Networks 34.
505 8 _a4.1.2 Enhancing Energy Efficiency Through Spectrum Harvesting 39 -- 4.2 Energy Harvesting Techniques 44 -- 4.2.1 Green Energy Harvesting Models 44 -- 4.2.2 Green Energy Utilization and Optimization 46 -- 4.2.3 Cognitive Functionalities in Energy Harvesting 47 -- 4.3 FreeNet: Spectrum and Energy Harvesting Wireless Networks 50 -- 4.3.1 FreeNet Application Scenarios 51 -- 4.3.2 Dynamic Network Architecture Optimization 53 -- 4.3.3 Communication Protocol Suite Design 57 -- 4.4 Summary 58 -- 4.5 Questions 58 -- Part II Green Mobile Networking Solutions 59 -- 5. Energy and Spectrum Efficient Mobile Traffic Offloading 61 -- 5.1 Centralized Energy Spectrum Trading Algorithm 63 -- 5.1.1 System Model and Problem Formulation 64 -- 5.1.2 A Heuristic Power Consumption Minimization Algorithm 67 -- 5.2 Auction-Based Decentralized Algorithm 70 -- 5.2.1 An Auction-Based EST Scheme 72 -- 5.3 Performance Evaluation 81 -- 5.3.1 Centralized Energy Spectrum Trading Algorithm 81 -- 5.3.2 Auction-Based Decentralized Algorithm 87 -- 5.4 Summary 90 -- 5.5 Questions 90 -- 6. Optimizing Green Energy Utilization for Mobile Networks with Hybrid Energy Supplies 91 -- 6.1 Green Energy Optimization Scheme for Mobile Networks With Hybrid Energy Supplies 91 -- 6.1.1 System Model and Problem Formulation 93 -- 6.1.2 Problem Formulation 95 -- 6.1.3 The GEO Algorithm 99 -- 6.1.4 Performance Evaluation 106 -- 6.2 Optimal Renewable Energy Provisioning for BSs 110 -- 6.2.1 Related Work on Provisioning the Green Power System 111 -- 6.2.2 System Model and Problem Formulation 112 -- 6.2.3 The Green Energy Provisioning Solution 116 -- 6.2.4 Performance Evaluation 123 -- 6.3 Summary 128 -- 6.4 Questions 128 -- 7. Energy Aware Traffic Load Balancing in Mobile Networks 129 -- 7.1 Traffic Load Balancing in Mobile Networks 129 -- 7.2 ICE: Intelligent Cell brEathing to Optimize the Utilization of Green Energy 131 -- 7.2.1 Problem Formulation 132 -- 7.2.2 The ICE Algorithm 133 -- 7.2.3 ICE Algorithm Performance 135.
505 8 _a7.3 Energy- and QoS-Aware Traffic Load Balancing 138 -- 7.3.1 System Model and Problem Formulation 139 -- 7.3.2 vGALA: A Green Energy and Latency Aware Load Balancing Scheme 144 -- 7.3.3 Properties of vGALA 147 -- 7.3.4 The Practicality of the vGALA Scheme 152 -- 7.3.5 The Admission Control Mechanism 154 -- 7.3.6 Performance Evaluation 155 -- 7.4 Energy Efficient Traffic Load Balancing in Backhaul Constrained Small Cell Networks 165 -- 7.4.1 System Model and Problem Formulation 166 -- 7.4.2 Network Utility Aware Traffic Load Balancing 171 -- 7.4.3 Performance Evaluation 176 -- 7.5 Traffic Load Balancing in Smart Grid Enabled Mobile Networks 185 -- 7.5.1 System Model and Problem Formulation 189 -- 7.5.2 An Approximation Solution 191 -- 7.5.3 Performance Evaluation 197 -- 7.6 Summary 200 -- 7.7 Questions 201 -- 8. Enhancing Energy Efficiency via Device-to-Device Proximity Services 203 -- 8.1 Energy Efficient Cooperative Wireless Multicasting 205 -- 8.1.1 System Model and Problem Formulation 205 -- 8.1.2 Gradient Guided Algorithm 206 -- 8.1.3 Performance Evaluation 207 -- 8.2 Green Relay Assisted D2D Communications 212 -- 8.2.1 System Model and Problem Formulation 212 -- 8.2.2 A Heuristic Green Relay Assignment Algorithm 214 -- 8.3 Green Content Brokerage 221 -- 8.3.1 Problem Formulation and Analysis 224 -- 8.3.2 The Heuristic Traffic Offloading Algorithm 226 -- 8.3.3 Performance Evaluation 232 -- 8.4 Summary 236 -- 8.5 Questions 237 -- 9. Greening Mobile Networks via Optimizing the Efficiency of Content Delivery 239 -- 9.1 Mobile Network Measurements 240 -- 9.1.1 Packet Retransmission 240 -- 9.1.2 Queuing in Mobile Core Networks 240 -- 9.1.3 Network Asymmetry 241 -- 9.1.4 Queue Management 241 -- 9.1.5 First Packet Delay 242 -- 9.1.6 TCP Flaws 242 -- 9.1.7 Application Misbehavior 243 -- 9.1.8 Mobile Devices 243 -- 9.1.9 User Mobility 244 -- 9.2 Mobile System Evolution 244 -- 9.2.1 EUTRAN 245 -- 9.2.2 Integrating Mobile Networks and CDN 247 -- 9.3 Content and Network Optimization 247.
505 8 _a9.3.1 Content Domain Techniques 247 -- 9.3.2 Network Domain Techniques 249 -- 9.3.3 Cross Domain Techniques 262 -- 9.4 Mobile Data Offloading 264 -- 9.4.1 Direct Data Offloading 264 -- 9.4.2 Network Aggregation 265 -- 9.5 Web Content Delivery Acceleration System 266 -- 9.5.1 Web Acceleration System 267 -- 9.6 Multimedia Content Delivery Acceleration 272 -- 9.6.1 Adaptive Streaming 273 -- 9.6.2 Other Methods 275 -- 9.7 Summary 277 -- 9.8 Questions 277 -- References 279 -- Index 299.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _a Combines the hot topics of energy efficiency and next generation mobile networking, examining techniques and solutions Green communications is a very hot topic. Ever increasing mobile network bandwidth rates significantly impacts on operating costs due to aggregate network energy consumption. As such, design on 4G networks and beyond has increasingly started to focus on 'energy efficiency' or so-called 'green' networks. Many techniques and solutions have been proposed to enhance the energy efficiency of mobile networks, yet no book has provided an in-depth analysis of the energy consumption issues in mobile networks nor offers detailed theories, tools and solutions for solving the energy efficiency problems. This book presents the techniques and solutions for enhancing energy efficiency of future mobile networks, and consists of three major parts. The first part presents a general description of mobile network evolution in terms of both capacity and energy efficiency. The second part discusses the advanced techniques to green mobile networks. The third part discusses the solutions that enhance mobile network energy efficiency as well as providing future directions. Whilst the reader is expected to have basic knowledge of wireless communications, the authors present a brief introduction of the evolution of mobile networks, providing the knowledge base for understanding the content of the book. In addition, complicated network problems are illustrated using simple examples. This will help the reader to understand the concept and intuition of various techniques and solutions. . Incorporates the latest research results from both academia and industry, providing an up-to-date overview of existing technologies and solutions on making mobile networks greener. Consists of three sections with a gradually increasing technical depth on green mobile networks, providing the reader with a systematic view of the research area, and helping those with different technical backgrounds to better understand the content. Covers existing enabling technologies for green mobile networking, including an innovative discussion of state-of-the-art solutions and algorithms.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 05/07/2017.
655 0 _aElectronic books.
_93294
695 _aAcceleration
695 _aAir pollution
695 _aBandwidth
695 _aCellular networks
695 _aDelays
695 _aDevice-to-device communication
695 _aEnergy consumption
695 _aEnergy harvesting
695 _aGenerators
695 _aGreen products
695 _aHandover
695 _aHeuristic algorithms
695 _aLayout
695 _aLoad management
695 _aMobile communication
695 _aMobile computing
695 _aMulticast communication
695 _aOptimization
695 _aPeer-to-peer computing
695 _aPower demand
695 _aPower system dynamics
695 _aQuality of service
695 _aRadio spectrum management
695 _aRelays
695 _aRenewable energy sources
695 _aSensors
695 _aSolar energy
695 _aSolar panels
695 _aStreaming media
695 _aSwitches
695 _aWireless communication
695 _aWireless networks
695 _aWireless sensor networks
700 1 _aHan, Tao,
_d1983-
_eauthor.
_929076
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929077
710 2 _aWiley,
_epublisher.
_929078
776 0 8 _iPrint version:
_z9781119125105
830 0 _aWiley - IEEE
_97628
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7906175
942 _cEBK
999 _c74501
_d74501