Fundamentals Communication Systems

Originally adopted in military networks as a means of ensuring secure communication when confronted with the threats of jamming and interception, spread-spectrum systems are now the core of commercial applications such as mobile cellular and satellite communication.

Overview satellite communications systems is the only guide that covers the entire technology, from groundlinks through signaling, access, spacecraft, orbits, and positioning. Featuring an easy-to-read style and a step-by-step approach that's long on design fundamentals and short on mathematical derivations, this essential reference walks you through satellite system design, step by step. It features special new sections on geosynchronous satellites for global mobile communications, non-geostationary constellations, and low- and medium-orbit systems.

This book serves as an easily accessible reference for wireless digital communication systems. Topics are presented with simple but non-trivial examples and then elaborated with their variations and sophistications. The book includes numerous examples and exercises to illustrate key points. For this new edition, a set of problems at the end of each chapter is added, for a total of 298 problems.

This book serves as an easily accessible reference for wireless digital communication systems. Topics are presented with simple but non-trivial examples and then elaborated with their variations and sophistications. The book includes numerous examples and exercises to illustrate key points. For this new edition, a set of problems at the end of each chapter is added, for a total of 298 problems.

This book presents the intersection of two dynamic fields: Reinforcement Learning (RL) and RIS- Assisted Wireless Communications. With an emphasis on both discrete and continuous problems, it introduces a comprehensive overview of RL techniques and their applications in the evolving world of RIS-assisted wireless communications. Chapter 1 introduces the fundamentals of RL and deep RL (DRL), providing a solid foundation for understanding subsequent chapters. It also presents the Q-learning, deep Q-learning, and deep deterministic policy gradient algorithms. Chapter 2 provides a holistic overview of RIS-assisted systems and details several use cases in wireless communications. Then, Chapters 3 and 4 present various applications of the discrete and continuous DRL to RIS-assisted wireless communications. From maximizing the sum-rate to minimizing, the system resources and maximizing the energy efficiency. These chapters showcase the versatility of the DRL algorithms in tackling a range of challenges. This book concludes with Chapter 5, which introduces the challenges and future directions in this field. It explores the particulars of hyperparameter tuning, problem design, and complexity analysis, while also highlighting the potential of hybrid DRL, multi-agent DRL, and transfer learning techniques for advancing wireless communication systems.