Constraints and Advanced Solutions for LTE-Advanced Heterogeneous Networks

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.

Table of Contents:
1. Mobility Management in LTE-Advanced wireless system: Advances and Constraints 2. Handover Management in LTE-A Heterogeneous Networks 3. Enhancements In Techniques For Mobility Management In LTE-Advanced Wireless System 4. Moving Direction Informative Historical-Handover Decision Algorithm 5. Moving Direction Distance-Vertical Handover Decision Algorithm 6. Application of the Proposed Handover Algorithms in a Smart City Model 7. Conclusions And Key Takeaways References

About the Author :
Rami Ahmad is currently working as an Associate Professor of Computer Science, Networking, and Network Security at the American University in the Emirates (AUE). Dr Ahmad is an academic and researcher in the field of wireless networks and sensor networks—focusing primarily on management, security and lightweight security techniques, as well as network self-management and various applications of the network embedding system. Furthermore, he has experience in writing and evaluating applied research proposals in European funding organizations. Dr Ahmad obtained his PhD in Computer Science from the Networking and Security Lab of the National University of Malaysia. He also has a Master’s degree in Computer Science in the field of Intelligent Systems from Utara Malaysia University. Dr. Ahmad’s current research interests include machine learning, computer and wireless networking, network security, lightweight security technologies, and network sensing. Elankovan A. Sundararajan is an Associate Professor at the Faculty of Information Science and Technology, National University of Malaysia (UKM). He received his BSc (Hons) in 1995, MSc in Computer Science in 1997 from the National University of Malaysia and PhD in Computer Science from The University of Melbourne, Australia in 2008. His current research interests include High-Performance Computing. Big Data, Cloud Computing, and Computer Networks. He has been a member of the IEEE since 2005. Mohammad Kamrul Hasan is currently working as an Associate Professor, in the Network and Communication Technology research cluster, Center for Cyber Security, Universiti Kebangsaan Malaysia (UKM). He completed Doctor of Philosophy (Ph.D.) degree in Electrical and Communication Engineering from the faculty of Engineering, International Islamic University, Malaysia in 2016. Dr. Hasan completed his M.Sc. degree in Communication Engineering in the area of Electrical and Communication Engineering, International Islamic University, Malaysia in 2012. He has been experienced working in electrical and communication industries, after completing his BSc degree back in 2003. His undertakings included supervision, installation, and configuration of the corporate information-centric network, servers, WAN, WLAN, LAN, fault handling and programming of the ladder logic design for the industrial LAN connected PLC devices. He has demonstrated excellent research outcomes and received several awards including Gold medal, scholarships and best paper. He is well versed specialized with elements pertaining to cutting-edge information-centric network; Wireless Communication and Networking, microcontroller-based electronic devices, smart grid WAM Systems, Microprocessor Systems, and IoT. Dr. Kamrul is the Senior Member of the Institute of Electrical and Electronics Engineers since 2013, Member of Institution of Engineering and Technology, and a member of Internet Society. He has served the IEEE IIUM student branch as chair from 2014 to 2016. He has actively participated in many events/workshops/training for the IEEE and IEEE humanity programs in Malaysia. He reviews SCIE journals including IEEE Access, Telecommunication Systems, Hindawi, SAGE, ETRI Journal, and KSII Transactions on Internet and Information Systems.