Reinforcement Learning for Maritime Communications, by L. Xiao et al.

This book provides valuable insights into improving the reliable and secure communication performance of maritime communications using intelligent reflecting surfaces (IRS), privacy-aware Internet of Things (IoT), intelligent resource management, and location privacy protection. Particularly it highlights the application of reinforcement learning algorithms in addressing the challenges of maritime wireless communication, making it a timely and comprehensive resource. In the book, the authors explore the benefits of IRS-aided maritime communication systems, where the reflecting elements of IRS intelligently control signal phase to enhance the received signal strength for maritime ships or sensors while jamming maritime eavesdroppers. They also discuss the joint optimization of power and spectrum resources to ensure quality of service, such as security, reliability, and using reinforcement learning techniques for intelligent resource allocation. Additionally, the book presents learning-based approaches for privacy- aware offloading and location privacy protection, addressing the privacy-preserving requirements of maritime ships and sensors in dynamic and complex environments.