Enhanced the accuracy of idle time in cognitive radio network

M. H. Mohamad; A. Sali; R. Nordin

doi:10.12928/TELKOMNIKA.v19i3.18770

Enhanced the accuracy of idle time in cognitive radio network

M. H. Mohamad
, A. Sali
, R. Nordin

Universiti Teknikal Malaysia Melaka
Universiti Putra Malaysia
Universiti Kebangsaan Malaysia

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This paper addresses the essential part of modelling primary user (PU) activity pattern in the time domain, which involved choosing the best distribution fit to represent idle and busy time. The accurate PU activity model plays a vital role in developing high-performance cognitive radio (CR) network. This work formulates the PU activity model by using the empirical data measured from wireless local area network (WLAN) testbed. The detected idle time analysed in this work in two different scenarios, then a statistical approach performed to find the best fits. The finding shows the generalised Pareto (GP) distribution as the best fit with D_ks=0.266 compared to other distribution fits.

Original language	English
Pages (from-to)	730-737
Number of pages	8
Journal	Telkomnika (Telecommunication Computing Electronics and Control)
Volume	19
Issue number	3
DOIs	https://doi.org/10.12928/TELKOMNIKA.v19i3.18770
Publication status	Published - Jun 2021
Externally published	Yes

Keywords

Accuracy
Cognitive radio
Empirical data
Idle time
WLAN

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10.12928/TELKOMNIKA.v19i3.18770

Cite this

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title = "Enhanced the accuracy of idle time in cognitive radio network",

abstract = "This paper addresses the essential part of modelling primary user (PU) activity pattern in the time domain, which involved choosing the best distribution fit to represent idle and busy time. The accurate PU activity model plays a vital role in developing high-performance cognitive radio (CR) network. This work formulates the PU activity model by using the empirical data measured from wireless local area network (WLAN) testbed. The detected idle time analysed in this work in two different scenarios, then a statistical approach performed to find the best fits. The finding shows the generalised Pareto (GP) distribution as the best fit with Dks=0.266 compared to other distribution fits.",

keywords = "Accuracy, Cognitive radio, Empirical data, Idle time, WLAN",

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T1 - Enhanced the accuracy of idle time in cognitive radio network

AU - Mohamad, M. H.

AU - Sali, A.

AU - Nordin, R.

PY - 2021/6

Y1 - 2021/6

N2 - This paper addresses the essential part of modelling primary user (PU) activity pattern in the time domain, which involved choosing the best distribution fit to represent idle and busy time. The accurate PU activity model plays a vital role in developing high-performance cognitive radio (CR) network. This work formulates the PU activity model by using the empirical data measured from wireless local area network (WLAN) testbed. The detected idle time analysed in this work in two different scenarios, then a statistical approach performed to find the best fits. The finding shows the generalised Pareto (GP) distribution as the best fit with Dks=0.266 compared to other distribution fits.

AB - This paper addresses the essential part of modelling primary user (PU) activity pattern in the time domain, which involved choosing the best distribution fit to represent idle and busy time. The accurate PU activity model plays a vital role in developing high-performance cognitive radio (CR) network. This work formulates the PU activity model by using the empirical data measured from wireless local area network (WLAN) testbed. The detected idle time analysed in this work in two different scenarios, then a statistical approach performed to find the best fits. The finding shows the generalised Pareto (GP) distribution as the best fit with Dks=0.266 compared to other distribution fits.

KW - Accuracy

KW - Cognitive radio

KW - Empirical data

KW - Idle time

KW - WLAN

UR - https://www.scopus.com/pages/publications/85102812818

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JO - Telkomnika (Telecommunication Computing Electronics and Control)

JF - Telkomnika (Telecommunication Computing Electronics and Control)

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ER -

Enhanced the accuracy of idle time in cognitive radio network

Abstract

Keywords

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