Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms

This book explores Television White Space opportunities and cognitive radio applications, offering case studies and insights into spectrum sensing and network optimization.

This book delves into the opportunities presented by Television White Space (TVWS) and the regulatory considerations surrounding cognitive radio applications. It provides a thorough exploration of case studies that highlight the exploitation of TVWS, taking into account factors such as user mobility and the geographical relationship between users and Base Stations. By examining these elements, the book aims to offer a comprehensive understanding of how TVWS can be effectively utilized in various contexts.

In recent years, significant efforts have been made in both industry and academia to maximize the efficient use of available spectrum. This endeavor is particularly relevant in the context of the Internet of Things (IoT), where the design and dimensioning of future networks are crucial. Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms presents recent advancements in spectrum sensing technology, showcasing state-of-the-art research and developments in the field. The book also provides fresh insights into performance modeling, analysis, and global applications related to spectrum sensing.

Among the technical topics covered are novel applications of TV White Space, cooperative spectrum sensing, and Direction of Arrival (DoA) estimation algorithms. These discussions not only reflect current trends in cognitive radio but also offer a roadmap for future innovations in spectrum management and optimization.