Wireless Communications And Machine Learning

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Wireless Communications And Machine Learning

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Author : Le Liang
language : en
Publisher: Cambridge University Press
Release Date : 2025-07-03

Wireless Communications And Machine Learning written by Le Liang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Technology & Engineering categories.

This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.

Machine Learning For Future Wireless Communications

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Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-19

Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Technology & Engineering categories.

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

Machine Learning For Wireless Communications And Networking

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Author : Kwang-Cheng Chen
language : en
Publisher: Academic Press
Release Date : 2023-02-01

Machine Learning For Wireless Communications And Networking written by Kwang-Cheng Chen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Computers categories.

Machine Learning for Wireless Communications and Networking: An Introduction gives an easy-to-understand introduction to machine learning methods and techniques and their application to wireless communications. The book covers a wide range of machine learning techniques, starting with concepts related to statistical signal processing (i.e. decision/detection and estimation), taking advantage of the commonality of knowledge between statistical learning and statistical communication theory that the electronic engineer will be familiar with. Each chapter focuses on a class of machine learning techniques, clearly explaining the principles with a supporting range of examples in general wireless communications, wireless networks, sensor networks, and signal processing. Every chapter also has a dedicated section applying machine learning techniques to specific, state-of-the-art wireless network applications. Machine Learning for Wireless Communications and Networking: An Introduction is ideal for graduate and senior undergraduate students in wireless communications and networking who need to understand and apply machine learning techniques, researchers in wireless communications, signal processing, and wireless networks who need background knowledge in machine learning for wireless systems and networks, and engineers and professionals in the wireless communications and networking industry seeking to learn this important new technology which is having a major impact in the field.

Applications Of Machine Learning In Wireless Communications

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Author : Ruisi He
language : en
Publisher:
Release Date : 2019

Applications Of Machine Learning In Wireless Communications written by Ruisi He and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Data mining categories.

In such an era of big data where data mining and data analysis technologies are effective approaches for wireless system evaluation and design, the applications of machine learning in wireless communications have received a lot of attention recently. Machine learning provides feasible and new solutions for the complex wireless communication system design. It has been a powerful tool and popular research topic with many potential applications to enhance wireless communications, e.g. radio channel modelling, channel estimation and signal detection, network management and performance improvement, access control, resource allocation. However, most of the current researches are separated into different fields and have not been well organized and presented yet. It is therefore difficult for academic and industrial groups to see the potentialities of using machine learning in wireless communications. It is now appropriate to present a detailed guidance of how to combine the disciplines of wireless communications and machine learning.

Deep Learning In Wireless Communications

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Author : Haijun Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-10-03

Deep Learning In Wireless Communications written by Haijun Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Technology & Engineering categories.

The book offers a focused examination of deep learning-based wireless communication systems and their applications. While both principles and engineering practice are explored, greater emphasis is placed on the latter. The book offers an in-depth exploration of major topics such as cognitive spectrum intelligence, learning resource allocation optimization, transmission intelligence, learning traffic and mobility prediction, and security in wireless communication. Notably, the book provides a comprehensive and systematic treatment of practical issues related to intelligent wireless communication, making it particularly useful for those seeking to learn about practical solutions in AI-based wireless resource management. This book is a valuable resource for researchers, engineers, and graduate students in the fields of wireless communication, telecommunications, and related areas.

Next Generation Wireless Networks Meet Advanced Machine Learning Applications

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Author : Comşa, Ioan-Sorin
language : en
Publisher: IGI Global
Release Date : 2019-01-25

Next Generation Wireless Networks Meet Advanced Machine Learning Applications written by Comşa, Ioan-Sorin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Technology & Engineering categories.

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

Wireless For Machine Learning

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Author : Henrik Hellström
language : en
Publisher:
Release Date : 2022-06-09

Wireless For Machine Learning written by Henrik Hellström and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-09 with categories.

This monograph gives an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support ML services over distributed datasets. It gives a comprehensive introduction to these methods, reviews the most important works, highlights open problems, and discusses application scenarios.

Machine Learning And Wireless Communications

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Author : Yonina C. Eldar
language : en
Publisher: Cambridge University Press
Release Date : 2022-08-04

Machine Learning And Wireless Communications written by Yonina C. Eldar and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Computers categories.

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Optical And Wireless Communications

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Author : Sushank Chaudhary
language : en
Publisher: CRC Press
Release Date : 2025-05-09

Optical And Wireless Communications written by Sushank Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Technology & Engineering categories.

This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals. It explores advancements driven by 5G, IoT, and the increasing demand for high-speed, reliable communication. Covering optical fiber systems, wireless networks, and AI-driven optimizations, the book provides insights into real-world applications impacting telecommunications, healthcare, and transportation. The contributing authors discuss key topics such as signal processing techniques, optimization algorithms, and deep learning models applied to optical and wireless networks. The volume also highlights emerging challenges, security concerns, and future trends in AI-powered communication systems. This resource is essential for professionals in electrical and computer engineering, telecommunications, and computer science, helping them stay ahead in these rapidly evolving technologies.

Wireless Communication With Artificial Intelligence

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Author : Anuj Singal
language : en
Publisher: CRC Press
Release Date : 2022-09-16

Wireless Communication With Artificial Intelligence written by Anuj Singal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.

This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication. The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.