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Titlebook: Channel Estimation for Physical Layer Network Coding Systems; Feifei Gao,Chengwen Xing,Gongpu Wang Book 2014 The Author(s) 2014 Channel es

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发表于 2025-3-21 20:07:58 | 显示全部楼层 |阅读模式
书目名称Channel Estimation for Physical Layer Network Coding Systems
编辑Feifei Gao,Chengwen Xing,Gongpu Wang
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Channel Estimation for Physical Layer Network Coding Systems;  Feifei Gao,Chengwen Xing,Gongpu Wang Book 2014 The Author(s) 2014 Channel es
描述This SpringerBrief presents channel estimation strategies for the physical later network coding (PLNC) systems. Along with a review of PLNC architectures, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, including frequency flat fading, frequency selective fading and time selective fading, as well as future research directions. Chapters explore the performance of the channel estimation strategy and optimal structure of training sequences for each scenario. Besides the analysis of channel estimation strategies, the book also points out the necessity of revisiting other signal processing issues for the PLNC system. Channel Estimation of Physical Layer Network Coding Systems is a valuable resource for researchers and professionals working in wireless communications and networks. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
出版日期Book 2014
关键词Channel estimation; Flat fading; Frequency selective; Networks; Physical layer network coding; Time selec
版次1
doihttps://doi.org/10.1007/978-3-319-11668-6
isbn_softcover978-3-319-11667-9
isbn_ebook978-3-319-11668-6Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2014
The information of publication is updating

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发表于 2025-3-22 00:17:12 | 显示全部楼层
Background on Channel Estimation,ML) estimation and minimum mean square error (MMSE) estimation, as well as their counterparts least square (LS) estimation and linear minimum mean square error (LMMSE) estimation. Moreover, the channel estimation for the amplify-and-forward (AF) unidirectional relaying system (URS) is also discussed
发表于 2025-3-22 02:36:31 | 显示全部楼层
发表于 2025-3-22 08:01:02 | 显示全部楼层
Channel Estimation for PLNC Under Frequency Selective Fading Scenario,multiplexing (OFDM) is adopted for data transmission. We propose a two-phase training protocol, which is compatible with the two-phase data transmission, and thus the training block can be embedded into the data frame. Specifically, we design two different types of training methods: (i) . based trai
发表于 2025-3-22 12:36:10 | 显示全部楼层
Channel Estimation for PLNC Under Time-Selective Fading Scenario,ponential basis expansion model (CE-BEM) to represent the mobile-to-mobile time-varying channels. To estimate such channels, a novel pilot symbol-aided transmission scheme is developed such that a low complex linear approach can be applied to estimate the BEM coefficients of the convoluted channels.
发表于 2025-3-22 16:10:56 | 显示全部楼层
发表于 2025-3-22 18:33:50 | 显示全部楼层
Book 2014res, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, inclu
发表于 2025-3-22 21:41:28 | 显示全部楼层
发表于 2025-3-23 05:22:47 | 显示全部楼层
Theories about the Aromatic Bonds in Benzeneining, for which we directly estimate the individual channels between sources and relay. Importantly, the identifiability of the channel estimation in both types of the training schemes are fully addressed. Finally, various numerical examples are presented to corroborate our analytical results.
发表于 2025-3-23 06:21:00 | 显示全部楼层
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