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Titlebook: Intelligent Resource Management in Vehicular Networks; Haixia Peng,Qiang Ye,Xuemin Sherman Shen Book 2022 The Editor(s) (if applicable) an

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书目名称Intelligent Resource Management in Vehicular Networks
编辑Haixia Peng,Qiang Ye,Xuemin Sherman Shen
视频video
概述Provides a comprehensive resource management design for vehicular networks.Includes multi-resource management studies in highly dynamic wireless networks.Features applications of AI technologies in mu
丛书名称Wireless Networks
图书封面Titlebook: Intelligent Resource Management in Vehicular Networks;  Haixia Peng,Qiang Ye,Xuemin Sherman Shen Book 2022 The Editor(s) (if applicable) an
描述.This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies. .
出版日期Book 2022
关键词Connected and Automated Vehicle; Vehicular Networks; Multi-Access Edge Computing; Unmanned Aerial Vehic
版次1
doihttps://doi.org/10.1007/978-3-030-96507-5
isbn_softcover978-3-030-96509-9
isbn_ebook978-3-030-96507-5Series ISSN 2366-1186 Series E-ISSN 2366-1445
issn_series 2366-1186
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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MEC-Assisted Vehicular Networking,sed in Sect. 2.1, in which a joint multi-resource management scheme is presented and some future research issues are discussed. Then, we take the intelligent resource allocation in an aerial-assisted vehicular network as a case study in Sect. 2.3. In this section, AI-based resource management scheme
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Spectrum Slicing in MEC-Assisted ADVNETs,esults, including spectrum slicing ratios among BSs, BS-vehicle association patterns, fractions of spectrum resources allocated to AVs, and transmit powers of BSs, are obtained. The simulation results demonstrate that a high aggregate network utility can be achieved by the proposed spectrum manageme
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