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Titlebook: Efficient Integration of 5G and Beyond Heterogeneous Networks; Zi-Yang Wu,Muhammad Ismail,Jiao Wang Book 2020 The Editor(s) (if applicable

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書目名稱Efficient Integration of 5G and Beyond Heterogeneous Networks
編輯Zi-Yang Wu,Muhammad Ismail,Jiao Wang
視頻videohttp://file.papertrans.cn/303/302982/302982.mp4
概述Allows readers to gain an in-depth grasp of how to integrate coexisting networks at high-frequency bands in a cooperative manner, yielding reliable and high-speed 5G+ HetNets.Broadens readers’ underst
圖書封面Titlebook: Efficient Integration of 5G and Beyond Heterogeneous Networks;  Zi-Yang Wu,Muhammad Ismail,Jiao Wang Book 2020 The Editor(s) (if applicable
描述.This book discusses the smooth integration of optical and RF networks in 5G and beyond (5G+) heterogeneous networks (HetNets), covering both planning and operational aspects. The integration of high-frequency air interfaces into 5G+ wireless networks can relieve the congested radio frequency (RF) bands. Visible light communication (VLC) is now emerging as a promising candidate for future generations of HetNets. Heterogeneous RF-optical networks combine the high throughput of visible light and the high reliability of RF. However, when implementing these HetNets in mobile scenarios, several challenges arise from both planning and operational perspectives. Since the mmWave, terahertz, and visible light bands share similar wave propagation characteristics, the concepts presented here can be broadly applied in all such bands..To facilitate the planning of RF-optical HetNets, the authors present an algorithm that specifies the joint optimal densities of the base stations by drawing on stochastic geometry in order to satisfy the users’ quality-of-service (QoS) demands with minimum network power consumption. From an operational perspective, the book explores vertical handovers and multi-h
出版日期Book 2020
關(guān)鍵詞5G; 5G and beyond (5G+); Heterogeneous Networks; Data-Driven; Deep Machine Learning; Light-Fidelity (Li-F
版次1
doihttps://doi.org/10.1007/978-981-15-6938-8
isbn_softcover978-981-15-8528-9
isbn_ebook978-981-15-6938-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Efficient Integration of 5G and Beyond Heterogeneous Networks
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g on stochastic geometry in order to satisfy the users’ quality-of-service (QoS) demands with minimum network power consumption. From an operational perspective, the book explores vertical handovers and multi-h978-981-15-8528-9978-981-15-6938-8
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Efficient Joint Planning of 5G+ HetNets,cal BS density that minimizes the APC of VLC networks is then recommended. Reduced complexity algorithms that rely on one-dimensional searching approaches and that identify the optimal densities of RF BSs and optical BSs to secure energy efficiency of RF-optical HetNets are also proposed. Numerical
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,Data-driven Handover Framework in?Mobile 5G+ HetNets,ge prediction in OWC, a reinforcement learning-based approach is introduced to implement optimal vertical handover decisions with QoS guarantee. This handover decision algorithm learns to make a trade-off between the outage risk and the cost of excessive handovers. Numerical results demonstrate cons
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