Onel Alcaraz Lopez – författare

A deep dive into wireless energy transfer technologies for IoT networksIn Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks, distinguished researchers Onel L. A. López and Hirley Alves deliver a robust discussion of massive wireless energy transfer and zero-energy, low-cost, Internet of Things networks. Moving beyond the basic theoretical background of the subject, the authors offer a deep analysis of the scenarios and requirements of wireless energy transfer.The book details novel powering schemes recently proposed to face the challenging requirements of the future Internet of Things, as well as a comprehensive review of sustainable IoT wireless networks.Wireless Energy Transfer explains why novel energy efficient solutions will be needed to address the sheer volume of devices currently forecasted to be used in the near future. It explores the challenges technologists and users will face as well as proposed solutions and future research directions.The authors also discuss: Thorough introductions to wireless energy transfer, including energy harvesting sources, radio frequency energy harvesting circuits, efficiency models, and architectures for wireless energy transfer powered IoT networksComprehensive explorations of ambient radio frequency energy harvesting, including measurement campaigns, energy harvesting hardware prototypes, and performance analysis based on stochastic geometryPractical discussions of efficient schemes for massive wireless energy transfer, including energy beamforming, multi-antenna techniques, and distributed antenna systemsPerfect for students and researchers in signal processing, communications, networking, and information theory, Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks will also earn a place in the libraries of students and practitioners in the fields of communication hardware and transceiver design.

A deep dive into wireless energy transfer technologies for IoT networks

In Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks, distinguished researchers Onel L. A. López and Hirley Alves deliver a robust discussion of massive wireless energy transfer and zero-energy, low-cost, Internet of Things networks. Moving beyond the basic theoretical background of the subject, the authors offer a deep analysis of the scenarios and requirements of wireless energy transfer.

The book details novel powering schemes recently proposed to face the challenging requirements of the future Internet of Things, as well as a comprehensive review of sustainable IoT wireless networks.

Wireless Energy Transfer explains why novel energy efficient solutions will be needed to address the sheer volume of devices currently forecasted to be used in the near future. It explores the challenges technologists and users will face as well as proposed solutions and future research directions.

The authors also discuss:

Thorough introductions to wireless energy transfer, including energy harvesting sources, radio frequency energy harvesting circuits, efficiency models, and architectures for wireless energy transfer powered IoT networks Comprehensive explorations of ambient radio frequency energy harvesting, including measurement campaigns, energy harvesting hardware prototypes, and performance analysis based on stochastic geometry Practical discussions of efficient schemes for massive wireless energy transfer, including energy beamforming, multi-antenna techniques, and distributed antenna systems

Perfect for students and researchers in signal processing, communications, networking, and information theory, Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks will also earn a place in the libraries of students and practitioners in the fields of communication hardware and transceiver design.

A deep dive into wireless energy transfer technologies for IoT networks

In Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks, distinguished researchers Onel L. A. López and Hirley Alves deliver a robust discussion of massive wireless energy transfer and zero-energy, low-cost, Internet of Things networks. Moving beyond the basic theoretical background of the subject, the authors offer a deep analysis of the scenarios and requirements of wireless energy transfer.

The book details novel powering schemes recently proposed to face the challenging requirements of the future Internet of Things, as well as a comprehensive review of sustainable IoT wireless networks.

Wireless Energy Transfer explains why novel energy efficient solutions will be needed to address the sheer volume of devices currently forecasted to be used in the near future. It explores the challenges technologists and users will face as well as proposed solutions and future research directions.

The authors also discuss:

Thorough introductions to wireless energy transfer, including energy harvesting sources, radio frequency energy harvesting circuits, efficiency models, and architectures for wireless energy transfer powered IoT networks Comprehensive explorations of ambient radio frequency energy harvesting, including measurement campaigns, energy harvesting hardware prototypes, and performance analysis based on stochastic geometry Practical discussions of efficient schemes for massive wireless energy transfer, including energy beamforming, multi-antenna techniques, and distributed antenna systems

Perfect for students and researchers in signal processing, communications, networking, and information theory, Wireless Energy Transfer: Towards Sustainable Zero-Energy IoT Networks will also earn a place in the libraries of students and practitioners in the fields of communication hardware and transceiver design.

Forward-thinking reference on spectrum sharing and resource management for 5G, B5G, and 6G wireless networks Intelligent Spectrum Management: Towards 6G explores various aspects of spectrum sharing and resource management in 5G, beyond 5G, and the envisaged 6G networks. The book offers an in-depth exploration of intelligent and secure sharing of spectrum and resource management in existing and future mobile networks. The book sets the stage by providing an insight to the evolution of mobile networks and highlights the importance of spectrum sharing and resource management in next-generation wireless networks. At the core, the book explores various promising technologies such as cognitive radio, reinforcement learning, deep learning, reconfigurable intelligent surfaces, and blockchain technology towards efficient, intelligent, and secure sharing of spectrum and resource management. Moreover, the book presents dynamic and decentralized resource management techniques, including network slicing, game theory, and blockchain-enabled approaches. Topics covered include: Spectrum, and why it must be utilized optimally and transparentlyFuture applications envisioned with 6G, such as digital twins, Industry 5.0, holographic telepresence, and Extended Reality (XR)Challenges when Dynamic Spectrum Management (DSM) is enabled through Machine Learning (ML) techniques, including the complexity of received signals and the difficulty in obtaining accurate network data such as channel state informationReinforcement learning and deep learning-assisted spectrum management Synergy between Artificial Intelligence (AI) and blockchain technology for spectrum managementPrivate networks, including their prospects, architecture, enabling concepts, and techniques for efficient operationIn essence, various innovative technologies and approaches that can be leveraged to enhance spectrum utilization and efficiently manage network resources are discussed. The book is a potential reference for researchers, academics, and professionals in the wireless service provider industry, as well as regulators and officials.

Forward-thinking reference on spectrum sharing and resource management for 5G, B5G, and 6G wireless networks

Intelligent Spectrum Management: Towards 6G explores various aspects of spectrum sharing and resource management in 5G, beyond 5G, and the envisaged 6G networks. The book offers an in-depth exploration of intelligent and secure sharing of spectrum and resource management in existing and future mobile networks.

The book sets the stage by providing an insight to the evolution of mobile networks and highlights the importance of spectrum sharing and resource management in next-generation wireless networks. At the core, the book explores various promising technologies such as cognitive radio, reinforcement learning, deep learning, reconfigurable intelligent surfaces, and blockchain technology towards efficient, intelligent, and secure sharing of spectrum and resource management. Moreover, the book presents dynamic and decentralized resource management techniques, including network slicing, game theory, and blockchain-enabled approaches.

Topics covered include:

Spectrum, and why it must be utilized optimally and transparentlyFuture applications envisioned with 6G, such as digital twins, Industry 5.0, holographic telepresence, and Extended Reality (XR)Challenges when Dynamic Spectrum Management (DSM) is enabled through Machine Learning (ML) techniques, including the complexity of received signals and the difficulty in obtaining accurate network data such as channel state informationReinforcement learning and deep learning-assisted spectrum management Synergy between Artificial Intelligence (AI) and blockchain technology for spectrum managementPrivate networks, including their prospects, architecture, enabling concepts, and techniques for efficient operation

In essence, various innovative technologies and approaches that can be leveraged to enhance spectrum utilization and efficiently manage network resources are discussed. The book is a potential reference for researchers, academics, and professionals in the wireless service provider industry, as well as regulators and officials.