Resource management and performance analysis of wireless communication networks / Shunfu Jin, Wuyi Yue.
Jin, Shunfu.; Yue, Wuyi, author.
2020
TK5103.2
Available Online

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Title Resource management and performance analysis of wireless communication networks / Shunfu Jin, Wuyi Yue.
Author Jin, Shunfu.
ISBN 9789811577567 (electronic bk.)
9811577560 (electronic bk.)
9811577552
9789811577550
DOI https://doi.org/10.1007/978-981-15-7756-7
Publication Details Singapore : Springer, 2020.
Language English
Description 1 online resource
Item Number 10.1007/978-981-15-7756-7 doi
Call Number TK5103.2
Dewey Decimal Classification 621.382
Summary With the diversification of Internet services and the increase in mobile users, efficient management of network resources has become an extremely important issue in the field of wireless communication networks (WCNs). Adaptive resource management is an effective tool for improving the economic efficiency of WCN systems as well as network design and construction, especially in view of the surge in mobile device demands. This book presents modelling methods based on queueing theory and Markov processes for a wide variety of WCN systems, as well as precise and approximate analytical solution methods for the numerical evaluation of the system performance. This is the first book to provide an overview of the numerical analyses that can be gleaned by applying queueing theory, traffic theory and other analytical methods to various WCN systems. It also discusses the recent advances in the resource management of WCNs, such as broadband wireless access networks, cognitive radio networks, and green cloud computing. It assumes a basic understanding of computer networks and queueing theory, and familiarity with stochastic processes is also recommended. The analysis methods presented in this book are useful for first-year-graduate or senior computer science and communication engineering students. Providing information on network design and management, performance evaluation, queueing theory, game theory, intelligent optimization, and operations research for researchers and engineers, the book is also a valuable reference resource for students, analysts, managers and anyone in the industry interested in WCN system modelling, performance analysis and numerical evaluation.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 9, 2021).
Added Author Yue, Wuyi, author.
Available in Other Form Resource management and performance analysis of wireless communication networks.
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Chapter 1. Introduction
Part 1. Resource Management and Performance Analysis on Broadband Wireless Access Networks
Chapter 2. Sleep Mode for Power Saving Class Type I
Chapter 3. Sleep Mode for Power Saving Class Type II
Chapter 4. Sleep Mode for Power Saving Class Type III
Chapter 5. Bernoulli Arrival-Based Sleep Mode in WiMAX 2
Chapter 6. Markovian Arrival-Based Sleep Mode in WiMAX 2
Chapter 7. Two-Stage Vacation Queue-Based Active DRX Mechanism in LTE System
Chapter 8. Multiple-Vacation Queue-Based Active DRX Mechanism in LTE System
Part 2. Resource Management and Performance Analysis on Cognitive Radio Networks
Chapter 9. Channel Aggregation Strategy with Perfect-Sensing Results
Chapter 10. Spectrum Reservation Strategy with Retrial Feedback and Perfect-Sensing Results
Chapter 11. Opportunistic Spectrum Access Mechanism with Imperfect Sensing Results
Chapter 12. Mini-Slotted Spectrum Allocation Strategy with Imperfect Sensing Results
Chapter 13. Channel Reservation Strategy with Imperfect Sensing Results
Chapter 14. Energy Saving Strategy in CRNs based on a Priority Queue with Single Vacation
Chapter 15. Energy Saving Strategy in CRNs based on a Priority Queue with Multiple Vacations
Part 3. Resource Management and Performance Analysis on Cloud Computing
Chapter 16. Speed Switch and Multiple-Sleep Mode
Chapter 17. Virtual Machine Allocation Strategy
Chapter 18. Clustered Virtual Machine Allocation Strategy
Chapter 19. Pricing Policy for Registration Service
Chapter 20. Energy-Efficient Task Scheduling Strategy
Chapter 21. Energy-Efficient Virtual Machine Allocation Strategy.

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