Download Channel Estimation for Physical Layer Network Coding Systems by Feifei Gao, Chengwen Xing, Gongpu Wang PDF

By Feifei Gao, Chengwen Xing, Gongpu Wang

This SpringerBrief provides channel estimation recommendations for the actual later community coding (PLNC) platforms. in addition to a assessment of PLNC architectures, this short examines new demanding situations introduced by means of the detailed constitution of bi-directional two-hop transmissions which are various from the normal point-to-point structures and unidirectional relay platforms. The authors talk about the channel estimation options over standard fading situations, together with frequency flat fading, frequency selective fading and time selective fading, in addition to destiny study instructions. Chapters discover the functionality of the channel estimation method and optimum constitution of educating sequences for every state of affairs. along with the research of channel estimation ideas, the ebook additionally issues out the need of revisiting different sign processing matters for the PLNC method. Channel Estimation of actual Layer community Coding structures is a worthwhile source for researchers and execs operating in instant communications and networks. Advanced-level scholars learning laptop technology and electric engineering also will locate the content material helpful.

Show description

Read or Download Channel Estimation for Physical Layer Network Coding Systems PDF

Best information theory books

Channel Estimation for Physical Layer Network Coding Systems

This SpringerBrief offers channel estimation ideas for the actual later community coding (PLNC) platforms. in addition to a overview of PLNC architectures, this short examines new demanding situations introduced through the specific constitution of bi-directional two-hop transmissions which are diversified from the conventional point-to-point platforms and unidirectional relay structures.

Cloud Computing for Logistics

This edited monograph brings jointly study papers masking the state-of-the-art in cloud computing for logistics. The publication comprises basic company item types for intralogistics in addition to straight forward equipment for logistics enterprise procedure layout. It additionally offers a common template for logistics functions from the cloud.

Algebraic Coding Theory

This can be the revised variation of Berlekamp's well-known ebook, "Algebraic Coding Theory", initially released in 1968, in which he brought numerous algorithms that have thus ruled engineering perform during this box. the sort of is an set of rules for interpreting Reed-Solomon and Bose–Chaudhuri–Hocquenghem codes that to that end turned often called the Berlekamp–Massey set of rules.

Information Theory and Coding

Details thought, info and resources, a few homes of Codes, Coding details assets, Channels and Mutual info, trustworthy Messages via Unreliable Channels, word list of Symbols and Expressions.

Additional resources for Channel Estimation for Physical Layer Network Coding Systems

Example text

When C3 0, then aO is 0. In this case, b can be estimated as bO D ˛kt2 k2 z1 , 2 which coincides with the ML channel estimation in uni-directional relay system [2], as if T1 does not send out the training signal, although T1 does send out training here. This phenomenon is quite interesting since T1 does not see the channel h1 but can still see the channel h1 h2 . We call this as hiding relay scenario. 2 Maximum Likelihood Estimation 23 whether C3 is greater than zero or not is non-predictable since it is determined by the instant value of the noise and the unknown channels.

Optimal beamforming for two-way multiantenna relay channel with analogue network coding. IEEE J. Select. , 27(5),pp. 699–712 , June 2009. 4. S. Ohno and G. B. Giannakis. Optimal training and redundant precoding for block transmissions with application to wireless OFDM. IEEE Trans. , 50(12), pp. 2113–2123, Dec. 2002. 5. I. Barhumi, G. Leus, and M. Moonen. Optimal trianing design for MIMO OFDM systems in mobile wireless channels. IEEE Trans. Signal Processing, 51(5), pp. 1615–1624, June 2003. 6. H.

However, the difference between the two methods is reduced when j j becomes smaller or when SNR becomes higher. Specifically, when D 0, the difference between ML method and LS method almost vanishes. As we have analyzed previously, the LS estimate of b can reach CRLB for D 0. We also see that the ML estimator is a biased estimator in the two-way case since its MSE is lower than CRLB at some SNR region. The main reason is that c to zero for some realization of the noise, where we meet the hiding we clip jaj relay scenario.

Download PDF sample

Rated 4.45 of 5 – based on 9 votes