Performance analysis of hierarchical decision aided 2-source BPSK H-MAC CSE with feed-back gradient solver for WPNC networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00337065" target="_blank" >RIV/68407700:21230/19:00337065 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Performance analysis of hierarchical decision aided 2-source BPSK H-MAC CSE with feed-back gradient solver for WPNC networks

Popis výsledku v původním jazyce

The paper addresses a problem of channel phase estimation in a 2-source Hierarchical MAC channel in a Wireless Physical Layer Coded (WPNC) system with Hierarchical Decode and Forward strategy. We assume a non-pilot based estimator, a pilot based one would require orthogonal pilot signal resources which are not available in WPNC system. In such a system, the receiving relay node does not have the individual source data available and the only data related estimator aid is a many-to-one network coded data function. We analyze the performance of estimator with feed-back gradient solver. Particularly we analyze: (1) mean square error (MSE) performance including its relation to Cramer-Rao Lower Bound (CRLB), and (2) we analyze properties of ambiguity modes of the estimator.

Název v anglickém jazyce

Performance analysis of hierarchical decision aided 2-source BPSK H-MAC CSE with feed-back gradient solver for WPNC networks

Popis výsledku anglicky

The paper addresses a problem of channel phase estimation in a 2-source Hierarchical MAC channel in a Wireless Physical Layer Coded (WPNC) system with Hierarchical Decode and Forward strategy. We assume a non-pilot based estimator, a pilot based one would require orthogonal pilot signal resources which are not available in WPNC system. In such a system, the receiving relay node does not have the individual source data available and the only data related estimator aid is a many-to-one network coded data function. We analyze the performance of estimator with feed-back gradient solver. Particularly we analyze: (1) mean square error (MSE) performance including its relation to Cramer-Rao Lower Bound (CRLB), and (2) we analyze properties of ambiguity modes of the estimator.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

<a href="/cs/project/LTC17042" target="_blank" >LTC17042: Kooperativní kódování a zpracování v hustých rádiových cloudových komunikačních sítích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů