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Books in Wireless communications

  • Generative Learning for Wireless Communications

    Fundamentals and Applications
    • 1st Edition
    • Songyang Zhang + 2 more
    • English
    Generative learning (GL) has emerged as an essential tool for data processing and network optimization in the broad area of next-generation communication systems. Generative Learning for Wireless Communications: Fundamentals and Applications provides a comprehensive and systematic tutorial for applying generative learning models to wireless communications. It explains the core concepts of state-of-the-art generative learning models, including generative adversarial nets, variational autoencoder, and other advanced models, such as transformers and diffusion models, and then shows their application to specific areas in wireless communications.

  • Security and Privacy in Trustworthy 6G

    A Physical Layer Perspective
    • 1st Edition
    • Christos Masouros + 1 more
    • English
    Security and Privacy in Trustworthy 6G: A Physical Layer Perspective gives a comprehensive overview of fundamental principles and cutting-edge techniques, equipping the reader with a deep understanding of the underlying concepts and techniques in trustworthy 6G. The book provides guidance on practical implementation in areas such as secure precoding, secure waveform, power efficient secure techniques, and data/sensing security issues in ISAC. Additionally, the book explores diverse security requirements in applications, including data security, computing security, sensing security, and user anonymity, making it relevant for researchers, engineers, and practitioners in various domains.

  • Massive MIMO in Practice

    From 5G to 6G
    • 2nd Edition
    • Henrik Asplund + 12 more
    • English
    Massive MIMO in Practice: From 5G to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.This new edition will provide a thorough understanding of:array antennas and how they can be used for beamforming, null-forming, and support for MIMO features;Massive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, for example, characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to these;a detailed walk-through of the 3GPP physical layer support for Massive MIMO solutions, the background for this support, and how it can be used in mobile networks;explanation... of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations, different Massive MIMO features, and different network deployment environments;regulat... aspects which are new and specific to Massive MIMO operation; and product architecture and implementation aspects that provide cost efficient and flexible operation.New to this edition More detail on the practical use of Massive MIMO in commercial mobile networks, specifically how to choose solutions, including antenna configuration and suitable Massive MIMO features, for cost efficient operation depending on traffic and environmental conditionsA new chapter on how to put the complete Massive MIMO solution together: hardware solutions, features and use of spectrum, particularly the different use of TDD, FDD, and mm-waveOutlines promising Massive MIMO solutions to be deployed in the futureInclusion of 3GPP’s Rel. 17 and Rel. 18 updatesRecent regulatory issues of high general interestPractical aspects of network planning, deployment, and operationExamples of other applications of Massive MIMO: satellites, drones, and FWAOutlines the path Massive MIMO can play to achieving 6G

  • Cellular IoT

    From 5G to 5G Advanced
    • 1st Edition
    • Olof Liberg + 6 more
    • English
    Cellular IoT: From 5G to 5G Advanced gives an accessible and insightful explanation of 5G IoT technologies and standards. After an introduction to 5G and 5G Advanced, this book in detail goes through the 5G features that are vital for the support of IoT use cases. It describes how the 5G New Radio (NR) access technology has been adapted to provide cost- and energy-efficient connectivity for massive IoT and broadband IoT, as well as providing high data rates, ultra-reliability, and low latency to support immersive experience and time-critical communications. This book also discusses adaptations to support satellite communication, the future of massive IoT and how 3GPP is about to extend its support to near zero-energy and low-complexity devices and use cases. These forward-looking features will help evolve 5G and 5G Advanced toward realizing 6G visions such as a connected, sustainable, digitalized, and programmable physical world.

  • Open Radio Access Network (O-RAN) Systems Architecture and Design

    • 2nd Edition
    • Wim Rouwet
    • English
    Open Radio Access Network (O-RAN) Systems Architecture and Design, 2nd edition, gives a jump start to engineers developing O-RAN hardware and software systems, providing a top-down approach to O-RAN systems design from an author with a silicon, software, and system background. It gives an introduction into why wireless systems look the way they do today before introducing relevant O-RAN and 3GPP standards. The remainder of the book discusses hardware and software aspects of O-RAN system design, including dimensioning and performance targets, and some practical use case examples that include 5G advanced topics. This edition includes comprehensive updates in key areas such as postquantum security and radio unit design. Additionally, it addresses emerging 5G advanced topics, including Industrial & URLLC, nonterrestrial networking, the role of artificial intelligence, 5G reduced capabilities for IoT, and self-organizing networks.

  • 5G/5G-Advanced Networks

    Planning, Design, and Optimization
    • 2nd Edition
    • Christofer Larsson
    • English
    5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, presents practical methods and algorithms for the design of 5G/5G Advanced Networks, covering topics that range from network resilience to how streaming data analytics can be used in network orchestration and slice optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered The new edition is extensively revised and updated with 5 new chapters: - Information theory applied to design targets and performance limits - 5G+radio interface and radio planning - Heavy traffic analysis - Network slicing - Machine learning methods for offline analytics This new edition now gives a broad and complete foundation in network optimization techniques for all subsystems of the cellular network by: - Showing how to optimize networks end-to-end, including dependencies between subsystems - Presenting network tuning methods to improve capacity, service quality, energy efficiency, and resilience – in relation to cost - Presenting designs of network slices with multi-objective performance targets The new edition also includes new practical hints sections that show algorithm implementation (end-to-end and unit testing), solution validation, bench-marking, potential pitfalls, the use of open-source software, illustration of code objects with examples in Python. 5G/5G Advanced Networks: Planning, Design and Optimization, 2nd edition, is an invaluable resource for telecom operators and service providers, university researchers, graduate students and network planners interested in practical methods for optimizing networks for large performance improvements and cost savings.

  • Explainable AI for Communications and Networking

    Toward Responsible Automation
    • 1st Edition
    • Hatim Chergui + 2 more
    • English
    Explainable AI for Communications and Networking: Toward Responsible Automation gives a tour into the realm of Explainable Artificial Intelligence (XAI) and its impact on transparent and autonomous communication networks. The book equips readers from diverse backgrounds in communications and networking with a variety of XAI tools, metrics and frameworks to demystify AI systems through graphical taxonomies and mathematical formulations, which are further enriched with code snippets. The book also examines XAI implementation in wireless communications, network management, generative AI for telecom and cybersecurity, before presenting practical use-cases emanating from an industry perspective. Finally, the regulatory, ethical, and legal implications of XAI in telecommunications are reviewed, before concluding with key challenges and takeaways.

  • The Core Network for 5G Advanced

    • 2nd Edition
    • Stefan Rommer + 5 more
    • English
    The Core Network for 5G Advanced, Second Edition covers up to the 3GPP release 17 & 18 which includes the core network for 5G Advanced as well as a large number of new features added by 3GPP to expand the initial 5G Core specifications in rel-15/16. This new release includes A complete update to reflect developments in Releases 17 and 18, along with new chapters on Service Exposure, non-3GPP access, 3GPP access for new use cases, Edge computing, Industry and Enterprise features, Regulatory services and Network automation and AI/ML, an overview of the 5G Core Architecture, and much more.Examples of 5G network deployment options for different use cases are also included. Written by authors who are heavily involved in the development of 5G standards, and who have written several successful books on 4G and 5G Core Networks, this book provides an authoritative reference on the technologies and standards of the 3GPP 5G Core network.

  • Machine Learning for Low-Latency Communications

    • 1st Edition
    • Yong Zhou + 4 more
    • English
    Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency. In particular, the book develops learning to estimate methods via algorithm unrolling and multiarmed bandit for reducing access latency by enlarging the number of concurrent transmissions with the same pilot length. Task-oriented learning to compress methods based on information bottleneck are given to reduce the transmission latency via avoiding unnecessary data transmission.Lastly, three learning to optimize methods for processing latency reduction are given which leverage graph neural networks, multi-agent reinforcement learning, and domain knowledge. Low-latency communications attracts considerable attention from both academia and industry, given its potential to support various emerging applications such as industry automation, autonomous vehicles, augmented reality and telesurgery. Despite the great promise, achieving low-latency communications is critically challenging. Supporting massive connectivity incurs long access latency, while transmitting high-volume data leads to substantial transmission latency.

  • TinyML for Edge Intelligence in IoT and LPWAN Networks

    • 1st Edition
    • Bharat S Chaudhari + 3 more
    • English
    TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to the Internet of Things (IoT) and low-power wide area networks (LPWANs). It starts by providing the foundations of IoT/LPWANs, low-power embedded systems and hardware, the role of AI and machine learning in communication networks in general, and cloud/edge intelligence. It then presents the concepts, methods, algorithms, and tools of TinyML. Practical applications of TinyML are given from the healthcare and industrial sectors, providing practical guidance on the design of applications and the selection of appropriate technologies.