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Performance Analysis and Optimization of Multi-Traffic on Communication Networks / by Leonid Ponomarenko, Che Soong Kim, Agassi Melikov
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink BücherPublisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010Description: Online-Ressource (XIV, 250p. 70 illus, digital)ISBN:- 9783642154584
- Zellulares Mobilfunksystem
- Handover
- Dienstgüte
- Leistungsbewertung
- Warteschlangentheorie
- Nachrichtenverkehrstheorie
- Telekommunikationsnetz
- Telekommunikationsdienst
- Multimedia
- Mehrbediener-Wartesystem
- Markov-Entscheidungsprozess
- Computer Science
- Computer science
- Computer system performance
- Distribution (Probability theory)
- Computer engineering
- 004.24
- 621.382
- QA76.9.E94
- TK5103.2
Contents:
Summary: Promptly growing demand for telecommunication services and information interchange has led to the fact that communication became one of the most dynamical branches of an infrastructure of a modern society. The book introduces to the bases of classical MDP theory, problems of a finding optimal in models are investigated and various problems of improvement of characteristics of traditional and multimedia wireless communication networks are considered together with both classical and new methods of theory MDP which allow defining optimal strategy of access in teletraffic systems. The book will be useful to specialists in the field of telecommunication systems and also to students and post-graduate students of corresponding specialties.PPN: PPN: 1650537018Package identifier: Produktsigel: ZDB-2-SCS
Preface; Contents; List of Acronyms and Abbreviations; Part I Two-Dimensional Traffic Models of Integrated Voice/Data Cellular Wireless Networks; 1 Performance Analysis of Multi-Parametric Call Admission Control (CAC) Strategies in Unbuffered Cellular Wireless Networks; 1.1 CAC Based on the Guard Channels Strategy; 1.2 CAC Based on a Cutoff Strategy; 1.3 Numerical Results; 1.4 Conclusion; References; 2 Performance Analysis of Call-Handling Processes in Buffered Cellular Wireless Networks; 2.1 Models with Queues for h-Calls; 2.1.1 Models with Finite Queues; 2.1.2 Models with Infinite Queues
2.1.3 Numerical Results2.2 Models with Queues for o-Calls; 2.2.1 Models Without Reassignment of Channels; 2.2.2 Models with Reassignment of Channels; 2.2.3 Numerical Results; 2.3 Conclusion; References; 3 QoS Optimization Problems in Cellular Wireless Networks; 3.1 QoS Optimization Problems in Cells Without Queues; 3.1.1 Optimization of Models with Guard Channels for Handover Calls; 3.1.2 Optimization of Models with Individual Channels for Handover Calls; 3.2 QoS Optimization Problems in Cells with Queues; 3.2.1 QoS Optimization Problems in Cells with a Limited Queue of h-Calls
3.2.2 QoS Optimization Problems in Cells with an Unlimited Queue of h-Calls3.3 Conclusion; References; Part II Multi-Dimensional Models of Multi-Service Networks; Introduction; 4 Models of Multi-Rate Systems with Inelastic Calls; 4.1 General Models of Unbuffered Multi-Rate Systems; 4.1.1 Complete Sharing Strategy; 4.1.2 Complete Sharing with Equalization Strategy; 4.1.3 Trunk Reservation Strategy; 4.1.4 Numerical Results; 4.2 Gimpelson-Type Multi-Rate Systems; 4.2.1 Unbuffered Models with a Special Group of Channels for Wide-Band Calls
4.2.2 Models with Guard Channels and Buffers for Wide-Band Calls4.2.3 Numerical Results; 4.3 Conclusion; References; 5 Models of Mixed Multi-Rate Systems; 5.1 Unbuffered Models; 5.1.1 Models with a Continuous Band; 5.1.2 Models with a Discrete Band; 5.2 Models with Buffers for Elastic Calls; 5.3 Numerical Results; 5.4 Conclusion; References; 6 Parametric Optimization Problems in Multi-Rate Systems; 6.1 Problems for Unbuffered Gimpelson's Models; 6.1.1 Problem of Equivalent Capacity with the CS-Strategy; 6.1.2 Problems of Finding the Optimal CAC Parameters with the TR-Strategy
6.1.3 Problems of Finding the Optimal CAC Parameters with the SGC-Strategy6.2 Problems for Buffered Gimpelson's Models; 6.3 Problems for Mixed Models; 6.4 Conclusion; References; 7 Markov Decision Processes (MDP) Approach to Optimization Problems for Multi-Rate Systems; 7.1 Hierarchical Phase-Merging Algorithm for MDP Problems; 7.2 Finding the Optimal Access Strategy; 7.3 Finding the Sub-Optimal Access Strategy; 7.4 Numerical Results; 7.5 Conclusion; References; Appendix; References; Index
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