stochastic modeling analysis telecom von decreusefond laurent (6 Ergebnisse)

Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Brand new! Please provide a physical shipping address.

Zustand: New. 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. Num Pages: 398 pages, Illustrations. BIC Classification: TJKR. Category: (G) General (US: Trade). Dimension: 239 x 158 x 27. Weight in Grams: 714. . 2012. 1st Edition. Hardcover. . . . .

Hardcover. Zustand: Like New. Like New. Ships from Multiple Locations. book.

Zustand: New. 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. Num Pages: 398 pages, Illustrations. BIC Classification: TJKR. Category: (G) General (US: Trade). Dimension: 239 x 158 x 27. Weight in Grams: 714. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.