Fading and Interference Mitigation in Wireless Communications, Anastasov, Jelena
Автор: Slattery, Kevin Название: Platform Interference In Wireless Systems ISBN: 0750687576 ISBN-13(EAN): 9780750687577 Издательство: Elsevier Science Рейтинг: Цена: 11452.00 р. Наличие на складе: Поставка под заказ.
Описание: Intra-system EMC problems are becoming increasingly common in mobile devices, ranging from notebook PCs to cell phones, with RF/wireless capabilities. These issues range from minor annoyances to serious glitches which impede the functioning of the device. This book reviews electromagnetic theory (including Maxwell`s equations).
Автор: Shinohara Naoki Название: Wireless Power Transmission Via Radiowaves ISBN: 184821605X ISBN-13(EAN): 9781848216051 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advances in Wireless Power Transmission (WPT) technologies have enabled various engineering applications with potential product implementation. WPT can be utilized to charge batteries in various pieces of equipment without the need for a wired connection.
Автор: Elgendi, Mohamed Название: PPG Signal Analysis ISBN: 1138049719 ISBN-13(EAN): 9781138049710 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using MATLAB (R). This technology is critical in the evaluation of medical and diagnostic data utilized in mobile devices.
Автор: K. J. Ray Liu, Beibei Wang Название: Wireless AI: Wireless Sensing, Positioning, IoT, and Communications ISBN: 1108497861 ISBN-13(EAN): 9781108497862 Издательство: Cambridge Academ Рейтинг: Цена: 18216.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A highly innovative and groundbreaking text explaining how wireless AI can be used to determine position, sense motion, and identity of objects and people. Covering theory, experimental results, and IoT applications, it is a must read for graduate students, researchers, and professionals working in signal processing and wireless communications.
Описание: This book treats the problems of single cell resource allocation, multiple cells resource allocation, centralized resource allocation, distributed resource allocation, the case of collaboration between base stations and the case without base station collaboration, in addition to the case of user cooperation and the case without user cooperation.
Автор: Shyamnath Gollakota Название: Embracing Interference in Wireless Systems ISBN: 162705474X ISBN-13(EAN): 9781627054744 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9286.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The wireless medium is a shared resource. If nearby devices transmit at the same time, their signals interfere, resulting in a collision. In traditional networks, collisions cause the loss of the transmitted information. For this reason, wireless networks have been designed with the assumption that interference is intrinsically harmful and must be avoided. This book, a revised version of the author's award-winning Ph.D. dissertation, takes an alternate approach: Instead of viewing interference as an inherently counterproductive phenomenon that should to be avoided, we design practical systems that transform interference into a harmless, and even a beneficial phenomenon. To achieve this goal, we consider how wireless signals interact when they interfere, and use this understanding in our system designs. Specifically, when interference occurs, the signals get mixed on the wireless medium. By understanding the parameters of this mixing, we can invert the mixing and decode the interfered packets; thus, making interference harmless. Furthermore, we can control this mixing process to create strategic interference that allow decodability at a particular receiver of interest, but prevent decodability at unintended receivers and adversaries. Hence, we can transform interference into a beneficial phenomenon that provides security. Building on this approach, we make four main contributions: We present the first WiFi receiver that can successfully reconstruct the transmitted information in the presence of packet collisions. Next, we introduce a WiFi receiver design that can decode in the presence of high-power cross-technology interference from devices like baby monitors, cordless phones, microwave ovens, or even unknown technologies. We then show how we can harness interference to improve security. In particular, we develop the first system that secures an insecure medical implant without any modification to the implant itself. Finally, we present a solution that establishes secure connections between any two WiFi devices, without having users enter passwords or use pre-shared secret keys.
Автор: Dimitrie Popescu; Christopher Rose Название: Interference Avoidance Methods for Wireless Systems ISBN: 1475787464 ISBN-13(EAN): 9781475787467 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Interference Avoidance Methods for Wireless Systems is an introduction to wireless techniques useful for uncoordinated unlicensed band systems, which use adaptive transmitters and receivers.
Автор: Kumbhani, Brijesh Название: MIMO Wireless Communications over Generalized Fading Channels ISBN: 0367573571 ISBN-13(EAN): 9780367573577 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
The bestselling CWNA study guide, updated for the latest exam
The CWNA: Certified Wireless Network Administrator Study Guide is the ultimate preparation resource for the CWNA exam.
Автор: Haijun Zhang, Jemin Lee, Tony S. Quek, Chih-Lin I Название: Ultra-Dense Networks: Principles and Applications ISBN: 1108497934 ISBN-13(EAN): 9781108497930 Издательство: Cambridge Academ Рейтинг: Цена: 19800.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understand the theoretical principles, key technologies and applications of UDNs with this authoritative survey. Theory is explained in a clear, step-by-step manner, and recent advances and open research challenges in UDN physical layer design, resource allocation and network management are described, with examples, in the context of B5G and 6G standardization. Topics covered include NOMA-based physical layer design, physical layer security. Interference management, 3D base station deployment, software defined UDNs, wireless edge caching in UDNs, UDN-based UAVs and field trials and tests. A perfect resource for graduate students, researchers and professionals who need to get up to speed on the state of the art and future opportunities in UDNs.
Автор: Fa–Long Luo Название: Machine Learning for Future Wireless Communications ISBN: 1119562252 ISBN-13(EAN): 9781119562252 Издательство: Wiley Рейтинг: Цена: 18683.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
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