Detection Performance of Cooperative Spectrum Sensing with Hard Decision Fusion in Fading Channels

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU111555" target="_blank" >RIV/00216305:26220/14:PU111555 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/00207217.2015.1036369" target="_blank" >http://dx.doi.org/10.1080/00207217.2015.1036369</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/00207217.2015.1036369" target="_blank" >10.1080/00207217.2015.1036369</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection Performance of Cooperative Spectrum Sensing with Hard Decision Fusion in Fading Channels

Popis výsledku v původním jazyce

In this paper, we investigate the detection performance of cooperative spectrum sensing (CSS) using energy detector (ED) in several fading scenarios. The fading environments comprises of relatively less-studied Hoyt and Weibull channels in addition to the conventional Rayleigh, Rician, Nakagami-m, and log-normal shadowing channels. We have presented an analytical framework for evaluating different probabilities related to spectrum sensing, i.e. missed detection, false alarm, and total error due to both of them, for all the fading/ shadowing models mentioned. The major theoretical contribution is, however, the derivation of closed-form expressions for probability of detection. Based on our developed framework, we present performance results of CSS under various hard decision fusion strategies such as OR rule, AND rule, and Majority rule. Effects of sensing channel signal to noise ratio (SNR), detection threshold, fusion rules, number of cooperating CRs, and fading/ shadowing parameters on the sensing performance have been illustrated. The performance improvement achieved with CSS over a single CR based sensing is depicted in terms of total error probability. Further, an optimal threshold that minimizes total error probability has been indicated for all the fading/ shadowing channels.

Název v anglickém jazyce

Detection Performance of Cooperative Spectrum Sensing with Hard Decision Fusion in Fading Channels

Popis výsledku anglicky

In this paper, we investigate the detection performance of cooperative spectrum sensing (CSS) using energy detector (ED) in several fading scenarios. The fading environments comprises of relatively less-studied Hoyt and Weibull channels in addition to the conventional Rayleigh, Rician, Nakagami-m, and log-normal shadowing channels. We have presented an analytical framework for evaluating different probabilities related to spectrum sensing, i.e. missed detection, false alarm, and total error due to both of them, for all the fading/ shadowing models mentioned. The major theoretical contribution is, however, the derivation of closed-form expressions for probability of detection. Based on our developed framework, we present performance results of CSS under various hard decision fusion strategies such as OR rule, AND rule, and Majority rule. Effects of sensing channel signal to noise ratio (SNR), detection threshold, fusion rules, number of cooperating CRs, and fading/ shadowing parameters on the sensing performance have been illustrated. The performance improvement achieved with CSS over a single CR based sensing is depicted in terms of total error probability. Further, an optimal threshold that minimizes total error probability has been indicated for all the fading/ shadowing channels.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL OF ELECTRONICS

ISSN

0020-7217

e-ISSN

1362-3060

Svazek periodika

1

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

24

Strana od-do

1-23

Kód UT WoS článku

000364335900009

EID výsledku v databázi Scopus

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