The book presents advanced techniques for enhancing mobility management across evolving wireless systems, including 5G and beyond. It introduces innovative handover decision algorithms that leverage user movement patterns, historical data, and multi-criteria optimisation to improve the reliability and efficiency of both horizontal and vertical handovers. Focusing on dense femtocell-macrocell environments, the book proposes refined handover parameters and distance-based vertical handover methods for small-cell transitions. It addresses mobility challenges faced by high-mobility users, such as in vehicular and intelligent transportation systems, by introducing trajectory-based handover prediction models. The practical applications of these techniques are explored within the contexts of smart cities, IoT ecosystems, and future network infrastructures. Introduces novel techniques to optimise horizontal and vertical handovers, addressing key challenges in dense and heterogeneous networks. Proposes refined parameters for reliable handover performance in femtocell, macrocell, and small-cell environments. Enhances target cell selection strategies using trajectory-based predictions for users in rapid motion. Develops distance-based vertical handover methods to improve handovers for low-mobility users within small-cell deployments. Explores real-world use cases across intelligent transport systems, urban infrastructure, and IoT networks. Aligns proposed solutions with next-generation wireless standards and mobility requirements. This book is a practical guide and essential reference for researchers, engineers, and students in wireless communications, networking, and mobility management.