Автор: Hu Название: Multimedia over Cognitive Radio Networks ISBN: 1482214857 ISBN-13(EAN): 9781482214857 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With nearly 7 billion mobile phone subscriptions worldwide, mobility and computing have become pervasive in our society and business. Moreover, new mobile multimedia communication services are challenging telecommunication operators. To support the significant increase in multimedia traffic--especially video--over wireless networks, new technological infrastructure must be created. Cognitive Radio Networks (CRNs) are widely regarded as one of the most promising technologies for future wireless communications. This book explains how to efficiently deliver video, audio, and other data over CRNs.
Covering advanced algorithms, protocols, and hardware-/software-based experiments, this book describes how to encode video in a prioritized way to send to dynamic radio links. It discusses different FEC codes for video reliability and explains how different machine learning algorithms can be used for video quality control. It also explains how to use readily available software tools to build a CRN simulation model.
This book explains both theoretical and experimental designs. It describes how universal software radio peripheral (USRP) boards can be used for real-time, high-resolution video transmission. It also discusses how a USRP board can sense the spectrum dynamics and how it can be controlled by GNU Radio software. A separate chapter discusses how the network simulator ns-2 can be used to build a simulated CRN platform.
Автор: Al-Dulaimi, Cosmas & Mohammed Название: Self-Organization And Green Applications In Cognitive Radio Networks ISBN: 146662812X ISBN-13(EAN): 9781466628120 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27720.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In order to keep larger sized cognitive networks in operation, it is necessary to have a variety of cognitive radio developments. In turn, it is important to generate organisational levels for service delivery to ensure dependable communication. Current research has helped make strides in creating and regulating the most efficient cognitive network topology which can be used in future green communications.<br><br><em>Self-Organization and Green Applications in Cognitive Radio Networks</em> provides recent research on the developments of efficient cognitive network topology. The most current procedures and results are presented to demonstrate how developments in this area can reduce complications, confusion, and even costs. The book also identifies future challenges that are predicted to arrive in the Cognitive Radio Network along with potential solutions. This innovative publication is unique because it suggests green, energy efficient and cost efficient resolutions to the inevitable challenges in the network.
Автор: Lagkas, Sarigiannidis, Louta & C Название: Evolution Of Cognitive Networks And Self-Adaptive Communication Systems ISBN: 1466641894 ISBN-13(EAN): 9781466641891 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Evolution of Cognitive Networks and Self-Adaptive Communication Systems</em> overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organising networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends towards a unified realisation for cognitive networking and communication systems.
Описание: This cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight into relationships throughout all layers of networks and across all wireless applications. It features specific examples of decision-making structures and criteria required to extend network density and scaling to unprecedented levels.
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