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Reseach Article

Extended Myopic Sensing Policy for Multiple SUs for Multichannel Opportunistic Access

by Narayan Patra, B N Bhramarbar Ray, S P Mohanty
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 9
Year of Publication: 2014
Authors: Narayan Patra, B N Bhramarbar Ray, S P Mohanty
10.5120/18548-9797

Narayan Patra, B N Bhramarbar Ray, S P Mohanty . Extended Myopic Sensing Policy for Multiple SUs for Multichannel Opportunistic Access. International Journal of Computer Applications. 106, 9 ( November 2014), 22-26. DOI=10.5120/18548-9797

@article{ 10.5120/18548-9797,
author = { Narayan Patra, B N Bhramarbar Ray, S P Mohanty },
title = { Extended Myopic Sensing Policy for Multiple SUs for Multichannel Opportunistic Access },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 9 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number9/18548-9797/ },
doi = { 10.5120/18548-9797 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:57.113888+05:30
%A Narayan Patra
%A B N Bhramarbar Ray
%A S P Mohanty
%T Extended Myopic Sensing Policy for Multiple SUs for Multichannel Opportunistic Access
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 9
%P 22-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Frequency band in a spectrum consisting of multiple channels are opportunistically accessed by the secondary users (SUs) is studied. The channels allocated to the primary users (PUs) with license are also temporarily utilized by the unauthorized secondary users during the idle period of PUs. The state of each channel is modeled as a discrete-time Markov Chain process. Collisions developed among the SUs during sensing or accessing the same channel in same time slot, are efficiently handled by extending the existing myopic sensing policies. Assuming the number of channels greater than and equal to the number of SUs, the proposed method claims that collisions can be reduced, without using more than the desired number of channels rather than by increasing the weights assigned to the representatives of the dominating sets of SUs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Myopic sensing opportunistic sensing Markov Chain cognitive radio.