Nonlinear Channel Models And Their Simulations

This book summarizes the research results of nonlinear channel modeling and simulation, including wavelet theory, neural network, echo state network, machine learning, support vector machine, chaos calculation, principal component analysis, Markov chain model, correlation entropy, fuzzy theory, and other theories. It is a useful reference text for engineering technicians, researchers, and graduate students in information and communication engineering, control science and engineering, intelligent science and technology.

Format: Hardback
Length: 448 pages
Publication date: 30 July 2022
Publisher: World Scientific Publishing Co Pte Ltd

This extensive compendium showcases the groundbreaking research findings in the field of nonlinear channel modeling and simulation. Nonlinear channels encompass a wide range of phenomena, including nonlinear satellite channels, nonlinear Volterra channels, molecular MIMO channels, and more. This comprehensive volume delves into various theoretical frameworks, such as wavelet theory, neural networks, echo state networks, machine learning, support vector machines, chaos calculation, principal component analysis, Markov chain models, correlation entropy, fuzzy theory, and other advanced methodologies. By incorporating these diverse theories, the book provides a valuable resource for enhancing the theoretical framework of nonlinear channel modeling and developing effective techniques for establishing nonlinear channel models. It serves as a valuable reference text for engineering technicians, researchers, and graduate students specializing in information and communication engineering, control science and engineering, intelligent science and technology.

Introduction:
Nonlinear channels are characterized by their complex behavior, which cannot be accurately described by traditional linear models. As a result, there is a growing need for accurate and efficient methods to model and simulate these channels. In this comprehensive compendium, we will explore the latest research results in nonlinear channel modeling and simulation, covering a wide range of topics such as wavelet theory, neural networks, echo state networks, machine learning, support vector machines, chaos calculation, principal component analysis, Markov chain models, correlation entropy, fuzzy theory, and more.

Nonlinear Satellite Channels:
Nonlinear satellite channels are a significant part of modern communication systems, as they are prone to various impairments such as rain fade, shadowing, and interference. Nonlinear channel modeling is essential for designing efficient communication systems that can withstand these challenges. In this section, we will discuss the latest research findings in nonlinear channel modeling for satellite channels, including the use of wavelet theory, neural networks, and machine learning techniques.

Nonlinear Volterra Channels:
Nonlinear Volterra channels are a class of nonlinear channels that are commonly used in communication systems, such as digital subscriber lines (DSL) and wireless communication systems. Nonlinear Volterra channels are characterized by their non-linear dynamics, which can lead to complex behavior such as chaos and bifurcations. Nonlinear channel modeling is crucial for understanding the performance of these systems and developing effective communication strategies. In this section, we will explore the latest research findings in nonlinear channel modeling for Volterra channels, including the use of wavelet theory, neural networks, and machine learning techniques.

Molecular MIMO Channels:
Molecular MIMO channels are a promising technology for future wireless communication systems, as they can achieve high data rates and improved spectral efficiency by using multiple antennas at the transmitter and receiver. Nonlinear channel modeling is essential for designing efficient molecular MIMO systems that can achieve the desired performance. In this section, we will discuss the latest research findings in nonlinear channel modeling for molecular MIMO channels, including the use of wavelet theory, neural networks, and machine learning techniques.

Conclusion:
In conclusion, this comprehensive compendium highlights the latest research results in nonlinear channel modeling and simulation. By incorporating various theoretical frameworks and advanced methodologies, the book provides a valuable resource for engineering technicians, researchers, and graduate students in information and communication engineering, control science and engineering, intelligent science and technology. The insights and techniques presented in this book will help in developing more efficient and reliable communication systems that can withstand the challenges of modern communication networks.

ISBN-13: 9789811249440