artificial intelligence wireless communication (91 résultats)

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Paperback. Etat : new. Paperback. The evolution of wireless communication has been nothing short of revolutionary. From the early analog systems to the era of 5G and the emerging vision of 6G, each generation has brought unprecedented connectivity, speed, and access. As we now look toward the horizon of Seventh Generation (7G) wireless communication, it becomes increasingly evident that Artificial Intelligence (AI) will be the foundational pillar of this next wave of technological advancement. This book, Role of Artificial Intelligence in 7G Wireless Communication, is a forward-looking exploration into how AI and Machine Learning (ML) technologies will redefine mobile and wireless networks in the 7G era. Unlike previous generations that primarily focused on hardware and bandwidth enhancements, 7G is expected to be intelligent by design-autonomous, adaptive, predictive, and capable of self-optimization at unprecedented levels. AI will no longer be a peripheral tool; it will be embedded into the core infrastructure of communication networks, driving performance, efficiency, and new applications beyond imagination.Organized into twelve comprehensive chapters, this book provides a structured journey through the key domains shaping 7G wireless communications: Chapter 1 introduces the foundational role of AI in 7G systems, laying the groundwork for deeper exploration.Chapter 2 examines how AI integrates with wireless networks, from intelligent routing to dynamic spectrum management.Chapter 3 outlines the conceptual vision of 7G, including cross-layer intelligence and integration of terrestrial, aerial, and space-based networks.Chapter 4 focuses on the next phase of mobile connectivity, exploring what truly differentiates 7G from its predecessors.Chapter 5 offers a historical perspective, tracing the development of mobile communication and setting the stage for 7G.Chapter 6 discusses the inevitability of intelligent communication and how AI accelerates this paradigm shift.Chapter 7 dives into the technical and architectural innovations driving seventh-generation cellular technology.Chapter 8 showcases emerging innovations in 7G networks, including edge intelligence, swarm networking, and more.Chapter 9 explores high-speed internet access and the role of intelligent connectivity in enabling ultra-fast, low-latency communication.Chapter 10 highlights Terahertz (THz) communication, a key enabler for ultra-high data rates and 7G performance goals.Chapter 11 explores Generative AI's transformative role in network design, traffic modeling, anomaly detection, and beyond.Chapter 12 addresses real-world challenges in AI/ML-based network design and offers insight into practical solutions for scalability, security, and sustainability.This book is intended for students, researchers, engineers, and professionals who are keen to understand not only the technical dimensions of 7G and AI, but also the broader implications for society, industry, and global connectivity. It brings together current research, futuristic visions, and practical frameworks to foster deeper understanding and encourage further innovation.As we enter a new era where machines communicate, learn, and make decisions alongside humans, AI-powered 7G wireless communication will be the bedrock of the future digital world-seamless, autonomous, and truly intelligent.We hope this work provides valuable insights and ignites curiosity, research, and development in this exciting field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. The evolution of wireless communication has been nothing short of revolutionary. From the early analog systems to the era of 5G and the emerging vision of 6G, each generation has brought unprecedented connectivity, speed, and access. As we now look toward the horizon of Seventh Generation (7G) wireless communication, it becomes increasingly evident that Artificial Intelligence (AI) will be the foundational pillar of this next wave of technological advancement. This book, Role of Artificial Intelligence in 7G Wireless Communication, is a forward-looking exploration into how AI and Machine Learning (ML) technologies will redefine mobile and wireless networks in the 7G era. Unlike previous generations that primarily focused on hardware and bandwidth enhancements, 7G is expected to be intelligent by design-autonomous, adaptive, predictive, and capable of self-optimization at unprecedented levels. AI will no longer be a peripheral tool; it will be embedded into the core infrastructure of communication networks, driving performance, efficiency, and new applications beyond imagination.Organized into twelve comprehensive chapters, this book provides a structured journey through the key domains shaping 7G wireless communications: Chapter 1 introduces the foundational role of AI in 7G systems, laying the groundwork for deeper exploration.Chapter 2 examines how AI integrates with wireless networks, from intelligent routing to dynamic spectrum management.Chapter 3 outlines the conceptual vision of 7G, including cross-layer intelligence and integration of terrestrial, aerial, and space-based networks.Chapter 4 focuses on the next phase of mobile connectivity, exploring what truly differentiates 7G from its predecessors.Chapter 5 offers a historical perspective, tracing the development of mobile communication and setting the stage for 7G.Chapter 6 discusses the inevitability of intelligent communication and how AI accelerates this paradigm shift.Chapter 7 dives into the technical and architectural innovations driving seventh-generation cellular technology.Chapter 8 showcases emerging innovations in 7G networks, including edge intelligence, swarm networking, and more.Chapter 9 explores high-speed internet access and the role of intelligent connectivity in enabling ultra-fast, low-latency communication.Chapter 10 highlights Terahertz (THz) communication, a key enabler for ultra-high data rates and 7G performance goals.Chapter 11 explores Generative AI's transformative role in network design, traffic modeling, anomaly detection, and beyond.Chapter 12 addresses real-world challenges in AI/ML-based network design and offers insight into practical solutions for scalability, security, and sustainability.This book is intended for students, researchers, engineers, and professionals who are keen to understand not only the technical dimensions of 7G and AI, but also the broader implications for society, industry, and global connectivity. It brings together current research, futuristic visions, and practical frameworks to foster deeper understanding and encourage further innovation.As we enter a new era where machines communicate, learn, and make decisions alongside humans, AI-powered 7G wireless communication will be the bedrock of the future digital world-seamless, autonomous, and truly intelligent.We hope this work provides valuable insights and ignites curiosity, research, and development in this exciting field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Etat : new. Paperback. 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. The reference text covers emerging wireless communication technologies, such as massive MIMO, mmWave, and visible light communication. It will be an ideal reference text for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. 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. The reference text covers emerging wireless communication technologies, such as massive MIMO, mmWave, and visible light communication. It will be an ideal reference text for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Paperback. Etat : new. Paperback. 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. The reference text covers emerging wireless communication technologies, such as massive MIMO, mmWave, and visible light communication. It will be an ideal reference text for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Etat : New. pp. 318 1st edition NO-PA16APR2015-KAP.

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