Simulation of Communication Systems

Modeling, Methodology and Techniques
2. 2000 Auflage 2000
ISBN: 978-0-306-46267-2
Verlag: Springer Us

Buch, Englisch, 907 Seiten, Format (B × H): 186 mm x 261 mm, Gewicht: 1863 g

Reihe: Information Technology: Transmission, Processing and Storage

Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the `traditional' ones.
This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book.

Zielgruppe

Research

Autoren/Hrsg.

Jeruchim, Michel C

Balaban, Philip

Shanmugan, K Sam

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren

Inhaltsverzeichnis

Simulation and Modeling Methodology.- Representation of Signals and Systems in Simulation.- Modeling and Simulation of Linear Time-Invariant and Time-Varying Systems.- Modeling and Simulation of Nonlinear Systems.- Fundamentals of Random Variables and Random Processes for Simulation.- Monte Carlo Simulation and Generation of Random Numbers.- Modeling of Communication Systems.- Communication Channels and Models.- Estimation of Parameters in Simulation.- Estimation of Performance Measures from Simulation.- Four Case Studies.