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This licentiate thesis by Georgios Smpokos focuses on the performance analysis of wireless heterogeneous networks (HetNets), addressing traffic optimization, energy efficiency, and security aspects. It explores virtual networking techniques that replace monolithic network operations with more flexible, software-driven solutions. Key areas of study include traffic offloading from cellular to non-cellular networks, optimization of core network operations considering environmental factors, and ensuring physical layer secrecy in collaborative small cell networks. The research employs machine learning and probability theory to enhance network performance and security. The intended audience includes researchers and professionals in wireless communication technologies.

Wireless communication systems. --- Heterogeneous distributed computing systems.

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This book provides a comprehensive introduction to distributed systems, an essential area of computer science focused on enabling efficient and reliable application performance across multiple machines and networks. It explores key concepts such as nodes, networks, communication protocols, data consistency, and security. The authors, experts in the field, offer insights into distributed computing paradigms, data communication, networking, and distributed file systems. The book is designed for computer science students at all levels and professionals seeking to deepen their understanding of distributed systems. It covers challenges and innovations in the field, offering valuable knowledge for developing scalable and robust distributed computing solutions.

Heterogeneous distributed computing systems. --- Computer networks. --- Heterogeneous distributed computing systems --- Computer networks

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Data mining. --- Heterogeneous distributed computing systems. --- Electronic information resource searching. --- Computer searching --- Electronic searching --- Online searching --- Searching electronic information resources --- Information retrieval --- Distributed computational systems, Heterogeneous --- Distributed computer systems, Heterogeneous --- Distributed computing systems, Heterogeneous --- Distributed heterogeneous computer systems --- Distributed heterogeneous computing systems --- HeDCSs (Heterogeneous distributed computing systems) --- Heterogeneous computer systems, Distributed --- Heterogeneous computing systems, Distributed --- Heterogeneous distributed computational systems --- Heterogeneous distributed computer systems --- Computer systems --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Distributed processing

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This book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users’ rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication.  Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book.   This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.

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