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Titlebook: Communications and Networking; 13th EAI Internation Xingang Liu,Dai Cheng,Lai Jinfeng Conference proceedings 2019 ICST Institute for Comput

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發(fā)表于 2025-3-21 17:48:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Communications and Networking
副標(biāo)題13th EAI Internation
編輯Xingang Liu,Dai Cheng,Lai Jinfeng
視頻videohttp://file.papertrans.cn/231/230531/230531.mp4
叢書(shū)名稱(chēng)Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書(shū)封面Titlebook: Communications and Networking; 13th EAI Internation Xingang Liu,Dai Cheng,Lai Jinfeng Conference proceedings 2019 ICST Institute for Comput
描述The book constitutes the refereed proceedings of the 13.th. EAI International Conference on Communications and Networking, held in October 2018 in Chengdu, China. The 71 papers presented were carefully selected from 114 submissions. The papers are organized in topical sections on wireless communications and networking, next generation WLAN, big data networks, cloud communications and networking, ad hoc and sensor networks, satellite and space communications and networking, optical communications and networking, information and coding theory, multimedia communications and smart networking, green communications and computing, signal processing for communications, network and information security, machine-to-machine and IoT, communication QoS, reliability and modeling, cognitive radio and networks, smart internet of things modeling, pattern recognition and image signal processing, digital audio and video signal processing, antenna and microwave communications, radar imaging and target recognition, and video coding and image signal processing.
出版日期Conference proceedings 2019
關(guān)鍵詞ad hoc networks; big data integrated network sensors; bit error rate; cloud computing; communication com
版次1
doihttps://doi.org/10.1007/978-3-030-06161-6
isbn_softcover978-3-030-06160-9
isbn_ebook978-3-030-06161-6Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
The information of publication is updating

書(shū)目名稱(chēng)Communications and Networking影響因子(影響力)




書(shū)目名稱(chēng)Communications and Networking影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Communications and Networking網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Communications and Networking網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Communications and Networking被引頻次




書(shū)目名稱(chēng)Communications and Networking被引頻次學(xué)科排名




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書(shū)目名稱(chēng)Communications and Networking年度引用學(xué)科排名




書(shū)目名稱(chēng)Communications and Networking讀者反饋




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MIMO-UFMC Transceiver Schemes for Millimeter Wave Wireless Communicationsal details on the processing needed to realize a MIMO-UFMC transceiver at mmWave, taking into account also the hybrid analog/digital nature of the beamformers, are given. Then, we propose several reception structures, considering also the case of continuous packet transmission with no guard interval
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A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WWireless Rechargeable Sensor Networks (WRSNs). Different from existing researches, in this paper, a periodic charging and data collecting model in WRSNs is proposed to keep the network working perpetually and improve data collection ratio. Meanwhile, the Wireless Charging Vehicle (WCV) has more work
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Aggregating Multidimensional Wireless Link Information for Device-Free Localizationwireless devices to targets. By analyzing the shadowing loss caused by targets on wireless links, we can estimate the target locations. However, for existing DFL approaches, a large number of wireless links is required to guarantee a certain localization precision, which may lead to high hardware co
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Multi-agent Deep Reinforcement Learning Based Adaptive User Association in Heterogeneous Networksd multiple attribute decision making (MADM) algorithm, users tend to maximize their utilities selfishly for lack of cooperation, leading to congestion. Therefore, it is efficient to apply artificial intelligence to deal with these emerging problems, which enables users to learn with incomplete envir
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Performance of Linearly Modulated SIMO High Mobility Systems with Channel Estimation Errorstimation errors. Channel estimation errors are unavoidable in high mobility systems, due to the rapid time-varying fading of the channel caused by severe Doppler effects, and this might have non-negligible adverse impacts on system performance. However, in high mobility communications, rapid time-va
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