Open AccessA spectrum sensing approaches in cognitive radio network by using cloud computing environment
Author(s) -
Sabbar Insaif Jasim,
Mustafa Mahmood Akawee,
Raed Abdulkareem Hasan
Publication year - 2022
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v11i2.3162
Subject(s) - cognitive radio , computer science , throughput , cloud computing , radio spectrum , frequency allocation , underlay , queueing theory , spectrum (functional analysis) , computer network , telecommunications , wireless , signal to noise ratio (imaging) , physics , quantum mechanics , operating system
A spectrum agreement has failed to meet the demands of new applications due to the fixed spectrum allocation (FSA) concept. But current efforts are targeted towards the utilization of cognitive radio as a way of addressing the issue of resources deficiency. The number of radio spectrum users keeps increasing daily owing to the advancement in technology in all aspects of life; even the licensed band users are currently demanding for extension of their radio spectrum and to balance the congestion in radio spectrum, some users may have to be placed on other bands. This article focused on voids detection (via spectrum sensing) in radio spectrum and secondary user assignment in cloud computing. Spectrum sensing was approached in two was in this study-underlay and interweave spectrum allocation. Both approaches are evaluated using certain performance metrics, such as throughput enhancement and queuing time minimization.