Cellular IoT: From 5G to 5G Advanced provides an insightful explanation of 5G IoT technologies and standards. The book goes through the 5G features that are vital for the support of IoT, describing how the 5G New Radio (NR) access technology has been designed to support industrial IoT, and how it has been adapted to provide cost and energy efficient connectivity, as well as providing high data rates at a low latency to support immerse experience or time-critical communications. It also discusses the future of massive IoT and how 3GPP is about to extend its support for near zero-energy and low complexity devices.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.
Massive MIMO in Practice: From 5G/5G-Advanced 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.Features include:A thorough understanding of:Array antennas and how they can be used for beamforming, null-forming and support for MIMO featuresMassive MIMO features and how they work, with a particular focus on mobile networks and the specifics relevant for mobile network operation, e.g. characteristics of the radio channel in different environment and how Massive MIMO solutions adapt to theseA 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 networksExplanations of what performance can be achieved in commercially deployed mobile networks for: different antenna configurations; different Massive MIMO features; different network deployment environmentsAn introduction to millimeter Wave solutions with a focus on the specifics of wave propagation and the corresponding technology solutionsRegulatory aspects which are new and specific to Massive MIMO operationProduct architecture and implementation aspects that provide cost efficient and flexible operationNew 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 spectrumOutlines 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 WiFiOutlines the path Massive MIMO can play to achieving 6G
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 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.
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.
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 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 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.
Open Radio Access Network (O-RAN) Systems Architecture and Design gives a jump-start to engineers developing O-RAN hardware and software systems, providing a top-down approach to O-RAN systems design. 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.
Orthogonal Frequency Division Multiplexing (OFDM) has been the waveform of choice for most wireless communications systems in the past 25 years. This book addresses the “what comes next?” question by presenting the recently proposed waveform known as Orthogonal Time-Frequency-Space (OTFS), which offers a better alternative for high-mobility environments. The OTFS waveform is based on the idea that the mobile wireless channels can be effectively modelled in the delay-Doppler domain. This domain provides a sparse representation closely resembling the physical geometry of the wireless channel. The key physical parameters such as relative velocity and distance of the reflectors with respect to the receiver can be considered roughly invariant in the duration of a frame up to a few milliseconds. This enables the information symbols encoded in the delay-Doppler domain to experience a flat fading channel even when they are affected by multiple Doppler shifts present in high-mobility environments. Delay-Doppler Communications: Principles and Applications covers the fundamental concepts and the underlying principles of delay-Doppler communications. Readers familiar with OFDM will be able to quickly understand the key differences in delay-Doppler domain waveforms that can overcome some of the challenges of high-mobility communications. For the broader readership with a basic knowledge of wireless communications principles, the book provides sufficient background to be self-contained. The book provides a general overview of future research directions and discusses a range of applications of delay-Doppler domain signal processing.