Energy Efficient Cooperative Wireless Communication and Networks,
Автор: Robert Fasthuber; Francky Catthoor; Praveen Raghav Название: Energy-Efficient Communication Processors ISBN: 146144991X ISBN-13(EAN): 9781461449911 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a new design approach for energy-efficient, Domain-Specific Instruction set Processor (DSIP) architectures used in the wireless baseband domain. Shows how to reduce development costs and increase scalability. Includes case studies.
Автор: Vibhu Sharma; Francky Catthoor; Wim Dehaene Название: SRAM Design for Wireless Sensor Networks ISBN: 1489992154 ISBN-13(EAN): 9781489992154 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This reviews the most efficient circuit design techniques and trade-offs, and introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability in wireless sensor applications.
Автор: Ghafoor Saim, Rehmani Mubashir Husain, Davy Alan Название: Next Generation Wireless Terahertz Communication Networks ISBN: 036743072X ISBN-13(EAN): 9780367430726 Издательство: Taylor&Francis Рейтинг: Цена: 122490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the state-of-the-art literature and survey on different communication aspects of Terahertz band communication networks from channel model to network layer operations and also cover the novel techniques and protocols to address the challenges for different Terahertz applications.
Автор: Antoniou, Josephina Название: Game Theory in Communication Networks ISBN: 1439848084 ISBN-13(EAN): 9781439848081 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Нет в наличии.
Автор: Maria-Gabriella Di Benedetto; Faouzi Bader Название: Cognitive Communication and Cooperative HetNet Coexistence ISBN: 3319014013 ISBN-13(EAN): 9783319014012 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, written by experts from universities and major industrial research laboratories, is devoted to the very hot topic of cognitive radio and networking for cooperative coexistence of heterogeneous wireless networks.
Автор: Robert Fasthuber; Francky Catthoor; Praveen Raghav Название: Energy-Efficient Communication Processors ISBN: 1489994882 ISBN-13(EAN): 9781489994882 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a new design approach for energy-efficient, Domain-Specific Instruction set Processor (DSIP) architectures used in the wireless baseband domain. Shows how to reduce development costs and increase scalability. Includes case studies.
Автор: Chen Название: Energy Efficient Computation Offloading in Mobile Edge Computing ISBN: 3031168216 ISBN-13(EAN): 9783031168215 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions. Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book.
Автор: Sharma, Vidushi Название: Energy-Efficient Wireless Sensor Networks ISBN: 0367573288 ISBN-13(EAN): 9780367573287 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Chen Название: Energy Efficient Computation Offloading in Mobile Edge Computing ISBN: 3031168240 ISBN-13(EAN): 9783031168246 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a comprehensive review and in-depth discussion of the state-of-the-art research literature and propose energy-efficient computation offloading and resources management for mobile edge computing (MEC), covering task offloading, channel allocation, frequency scaling and resource scheduling. Since the task arrival process and channel conditions are stochastic and dynamic, the authors first propose an energy efficient dynamic computing offloading scheme to minimize energy consumption and guarantee end devices’ delay performance. To further improve energy efficiency combined with tail energy, the authors present a computation offloading and frequency scaling scheme to jointly deal with the stochastic task allocation and CPU-cycle frequency scaling for minimal energy consumption while guaranteeing the system stability. They also investigate delay-aware and energy-efficient computation offloading in a dynamic MEC system with multiple edge servers, and introduce an end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally, the authors study the multi-task computation offloading in multi-access MEC via non-orthogonal multiple access (NOMA) and accounting for the time-varying channel conditions. An online algorithm based on DRL is proposed to efficiently learn the near-optimal offloading solutions. Researchers working in mobile edge computing, task offloading and resource management, as well as advanced level students in electrical and computer engineering, telecommunications, computer science or other related disciplines will find this book useful as a reference. Professionals working within these related fields will also benefit from this book.
Название: Energy-Efficient Wireless Sensor Networks ISBN: 1498783341 ISBN-13(EAN): 9781498783347 Издательство: Taylor&Francis Рейтинг: Цена: 112290.00 T Наличие на складе: Нет в наличии.
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