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Titlebook: Radio Resource Management Using Geometric Water-Filling; Peter He,Lian Zhao,Zhisheng Niu Book 2014 The Author(s) 2014 Cognitive radio (CR)

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发表于 2025-3-21 16:43:47 | 显示全部楼层 |阅读模式
书目名称Radio Resource Management Using Geometric Water-Filling
编辑Peter He,Lian Zhao,Zhisheng Niu
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Radio Resource Management Using Geometric Water-Filling;  Peter He,Lian Zhao,Zhisheng Niu Book 2014 The Author(s) 2014 Cognitive radio (CR)
描述This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems. Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms.This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.
出版日期Book 2014
关键词Cognitive radio (CR); Energy harvest; Geometric approach; Green communication; Multiple input multiple o
版次1
doihttps://doi.org/10.1007/978-3-319-04636-5
isbn_softcover978-3-319-04635-8
isbn_ebook978-3-319-04636-5Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2014
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Peter He,Lian Zhao,Sheng Zhou,Zhisheng Niu within a given environment. Reinforcement leaning solves unsupervised problems where agents move through a state-action-reward loop to maximize the overall reward for the agent, which in turn optimizes the solving of a specific problem in a given environment. However, these algorithms are designed
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Peter He,Lian Zhao,Sheng Zhou,Zhisheng Niursistent apprehension in communities surrounded by mining operations. The application of modern technologies in the environmental monitoring of these Human-made hazards is critical, because while not immediately health-threatening may turn out detrimental with unwanted negative effects. Enabling tec
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Peter He,Lian Zhao,Sheng Zhou,Zhisheng NiuYN attack on Cyber-Physical Systems (CPS). Thus, with a potential propagation to the different servers located in both fog and the cloud infrastructures of the CPS. This study compares the effectiveness of supervised, unsupervised, semi-supervised machine learning algorithms, as well as statistical
发表于 2025-3-22 16:25:17 | 显示全部楼层
Peter He,Lian Zhao,Sheng Zhou,Zhisheng Niursistent apprehension in communities surrounded by mining operations. The application of modern technologies in the environmental monitoring of these Human-made hazards is critical, because while not immediately health-threatening may turn out detrimental with unwanted negative effects. Enabling tec
发表于 2025-3-22 19:48:13 | 显示全部楼层
o implement tasks accurately, an effective formation controller is essential. This paper presents a formation control method that is based on Differential Flatness theory to improve coordination control of a model-based cooperative multiple mobile robotic system. The Differential Flatness characteri
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