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    1. Naturvetenskap och teknik
    2. Teknik och industri
    3. Elektronik och kommunikationer

    Stochastic Modeling and Analysis of Telecom Networks

    AvLaurent Decreusefond,Pascal Moyal

    Inbunden, Engelska, 2012

    2 381 kr

    Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt över 249 kr.

    Beskrivning

    This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems.The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory: Markov chains, continuous time Markov chains are extensively studied using an original martingale-based approach. A complete presentation of stochastic recursions from an ergodic theoretical perspective is also provided, as well as spatial point processes.Using these basic tools, stability criteria, performance measures and comparison principles are obtained for a wide class of models, from the canonical M/M/1 and G/G/1 queues to more sophisticated systems, including the current “hot topics” of spatial radio networking, OFDMA and real-time networks.

    Produktinformation

    • Utgivningsdatum:2012-03-09
    • Mått:160 x 241 x 28 mm
    • Vikt:721 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:387
    • Förlag:ISTE Ltd and John Wiley & Sons Inc
    • ISBN:9781848212381

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik

    Mer om författaren

    Laurent Decreusefond is Full Professor at Télécom ParisTech (one of the most prestigious engineering schools in France), where he is part of the Computer Sciences and Networking department. He has published many research papers in high-level international journals, on queuing theory, stochastic analysis, random graphs and stochastic geometry.Pascal Moyal is currently Associate Professor in the Applied Mathematics department of Compiègne University of Technology in France, after previously holding a one year invited researcher and lecturer position at the New Jersey Institute of Technology in the USA. He has published many research papers in high-level international journals, on queuing theory, ergodic theory and random graphs.

    Innehållsförteckning

    • Preface ixChapter 1. Introduction 11.1. Traffic, load, Erlang, etc11.2. Notations and nomenclature 71.3. Lindley and Bene¡s 101.4. Notes and comments 18PART 1: DISCRETE-TIME MODELING 21Chapter 2. Stochastic Recursive Sequences 232.1. Canonical space 242.2. Loynes’s scheme 302.3. Coupling 342.4. Comparison of stochastic recursive sequences 402.5. Notes and comments 43Chapter 3. Markov Chains 453.1. Definition and examples 453.2. Strong Markov property 493.3. Classification of states 523.4. Invariant measures and invariant probability 603.5. Effective calculation of the invariant probability 753.6. Problems 773.7. Notes and comments 80Chapter 4. Stationary Queues 834.1. Single server queues 844.2. Processor sharing queue 1044.3. Parallel queues 1064.4. The queue with S servers 1174.5. Infinite servers queue 1244.6. Queues with impatient customers 1274.7. Notes and comments 146Chapter 5. The M/GI/1 Queue 1495.1. The number of customers in the queue 1495.2. Pollacek-Khinchin formulas 1535.3. Sojourn time 1565.4. Tail distribution of the waiting time 1585.5. Busy periods 160PART 2: CONTINUOUS-TIME MODELING 167Chapter 6. Poisson Process 1696.1. Definitions 1706.2. Properties 1766.3. Discrete analog: the Bernoulli process 1816.4. Simulation of the Poisson process 1836.5. Non-homogeneous Poisson process 1856.6. Cox processes 1896.7. Problems 1896.8. Notes and comments 191Chapter 7. Markov Process 1937.1. Preliminaries 1937.2. Pathwise construction 1957.3. Markovian semi-group and infinitesimal generator 1997.4. Martingale problem 2157.5. Reversibility and applications 2207.6. Markov Modulated Poisson Processes 2267.7. Problems 2327.8. Notes and comments 234Chapter 8. Systems with Delay 2378.1. Little’s formula 2378.2. Single server queue 2418.3. Multiple server queue 2458.4. Processor sharing queue 2528.5. The M/M/∞ queue 2538.6. The departure process 2548.7. Queuing networks 2558.8. Problems 2658.9. Notes and comments 268Chapter 9. Loss Systems 2719.1. General 2719.2. Erlang model 2749.3. The M/M/1/1 + C queue 2769.4. The “trunk” effect 2799.5. Engset model 2809.6. IPP/M/S/S queue 2819.7. Generalized Erlang models 2859.8. Hierarchical networks 2899.9. A model with balking 2949.10. A call center with impatient customers 3019.11. Problems 3039.12. Notes and comments 304PART 3: SPATIAL MODELING 307Chapter 10. Spatial Point Processes 30910.1. Preliminary 30910.2. Stochastic geometry 31010.3. Poisson process 31110.4. Stochastic analysis 32610.5. Problems 33610.6. Notes and comments 337Appendix A. Mathematical Toolbox 339A.1. Probability spaces and processes 339A.2. Conditional expectation 347A.3. Vector spaces and orders 352A.4. Bounded variation processes 356A.5. Martingales 363A.6. Laplace transform 378A.7. Notes and comments 379Bibliography 381Index 385