Modeling

This book introduces the various approaches and tools used for modelling different propagation environments and lays the foundation for developing a unified theoretical framework for future integrated communication networks. In the case of each type of network, the book uses basic concepts of physics, mathematics, geometry and probability theory to study the impact of the dimension and shape of the propagation environment and relative transmit-receive position on the information flow. The book provides an introduction into wireless communication systems and networks and their applications. For both systems and networks, the basic hard (encoder, modulator, etc.) and soft components (information, signal, etc.) are discussed through schematic block diagrams. Next each of the modes of communication, namely radio waves, acoustic waves, magnetic induction, optical waves, biological particles (molecules, aerosols, neural synapse etc.) and quantum field, are discussed. For each communication s

The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline.Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess.Key Features: Several theories and applications are provided, each with working Python scripts. A