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Titlebook: Energy Management in Wireless Cellular and Ad-hoc Networks; Muhammad Zeeshan Shakir,Muhammad Ali Imran,Athanas Book 2016 Springer Internat

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發(fā)表于 2025-3-21 16:40:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Energy Management in Wireless Cellular and Ad-hoc Networks
編輯Muhammad Zeeshan Shakir,Muhammad Ali Imran,Athanas
視頻videohttp://file.papertrans.cn/311/310324/310324.mp4
概述Examines energy management in emerging wireless networks e.g., energy efficient body area networks, energy efficiency in Vehicular networks and sensor networks.Treats the novel concept of Internet of
叢書(shū)名稱(chēng)Studies in Systems, Decision and Control
圖書(shū)封面Titlebook: Energy Management in Wireless Cellular and Ad-hoc Networks;  Muhammad Zeeshan Shakir,Muhammad Ali Imran,Athanas Book 2016 Springer Internat
描述.This book investigates energy managementapproaches for energy efficient or energy-centric system design andarchitecture and presents end-to-end energy management in the recentheterogeneous-type wireless network medium. It also considers energy managementin wireless sensor and mesh networks by exploiting energy efficient transmissiontechniques and protocols. and explores energy management in emergingapplications, services and engineering to be facilitated with 5G networks suchas WBANs, VANETS and Cognitive networks. A special focus of the book is on theexamination of the energy management practices in emerging wireless cellularand ad hoc networks. Considering the broad scope of energy management inwireless cellular and ad hoc networks, this book is organized into six sectionscovering range of Energy efficient systems and architectures; Energy efficienttransmission and techniques; Energy efficient applications and services.?.
出版日期Book 2016
關(guān)鍵詞5G Networks; Cloud Computing; Cognitive Radio Networks; Economic and Ecology; Energy Cooperation and Col
版次1
doihttps://doi.org/10.1007/978-3-319-27568-0
isbn_softcover978-3-319-80172-8
isbn_ebook978-3-319-27568-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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13 Speeksel en smaakgewaarwordingCOD, we propose a heuristic Grey-Prediction based approach, which can work with the small number of UEs in the data cell, by exploiting the fact that the control BS manages UE-data BS connectivity, by receiving a periodic update of the Received Signal Reference Power (RSRP) statistic between the UEs
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R. Bliesener,F. Ebel,C. L?ffler u.a. efficiency of the network that has recently gained momentum, i.e., .. In particular, we focus our attention on two of the most intriguing new technologies to provide energy to mobile devices, such as the so–called . and .. We introduce two wireless–empowered transceiver designs that can harvest ene
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https://doi.org/10.1007/978-3-642-98993-3the case of uniform cooperative mobile operators having the same objectives and we establish cooperation decision criteria based on derived roaming prices and operators’ profit gains. Afterwards, we consider the case of non-uniform operators?where a green operator focuses on exploiting the infrastru
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https://doi.org/10.1007/978-3-642-92865-9energy consumption in wireless networks are outlined. Lastly, cross-layer designs based on cooperative physical layer network coding and hybrid automatic repeat request (HARQ) are presented. In this cross-layered design approach, energy-efficient transmission strategies are initially proposed for th
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Fortsetzung des historischen Teils,me time. To harness maximum gains in terms of energy efficiency (EE) for the primary network while maintaining its required quality of service and spectral efficiency (SE) of the CR network, a comprehensive model of DSL is presented. To this end, an accurate quantification of the random locations of
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發(fā)表于 2025-3-23 07:12:16 | 只看該作者
Spektroskopie an Festk?rperoberfl?chen of recent energy-efficient based resource allocations schemes is presented for cognitive radio systems. The energy efficiency performances of these schemes are analyzed and evaluated under power budget, co-channel and adjacent-channel interferences, channel estimation errors, quality-of-service, an
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