NDLI: Optimisation of censoring-based cooperative spectrum sensing approach with multiple antennas and imperfect reporting channel scenarios for cognitive radio network

Content Provider	IET Digital Library
Author	Kumar, Alok Pandit, Shweta Singh, Ghanshyam
Abstract	In this article, we have employed an energy detector (ED)-based cooperative spectrum sensing (CSS) with multi-antenna for cognitive radio network (CRN). The spectrum sensing error and energy efficiency (EE) are the key performance parameters in CRN which are affected by the threshold selection method, number of antennas employed at each cognitive user (CU), reporting error probability and cooperative fusion-rule applied at fusion center (FC). Therefore, we have derived the expression for sensing error by considering the effect of all these parameters and have optimized the cooperative fusion-rule at FC by formulating mathematical expression for optimal K in k-out-of-M rule to minimize the sensing error. Since CSS improves the sensing performance of CRN at the cost of increased overhead bits due to more CUs reporting to FC, results reduced EE. We have employed censoring approach to reduce the energy consumption and hence increase the EE of CSS technique. Further, we have illustrated the sensing error and EE improvement achieved under the censoring approach when different threshold selection approaches are employed at each CU. The percentage EE enhancement in censoring approach are 19.53% and 19.9% with constant false-alarm rate (CFAR) and minimized-error probability (MEP) approaches, respectively in comparison to that of the non-censoring approach.
Starting Page	2666
Ending Page	2676
Page Count	11
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 16, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0970
Journal	IET Communications
Publisher Date	2020-06-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Array Censoring Approach Censoring-based Censoring-based Cooperative Spectrum Sensing Approach Cognitive Radio Cognitive Radio Network Cognitive User Cooperative Communication Cooperative Fusion Rule CRN CSS Different Threshold Selection Approach Energy Consumption Energy Detector Energy Efficiency Error Statistics Fusion Centre Key Performance Parameter Minimised Error Probability Approach Multiantenna Multiple Antenna Noncensoring Approach Optimisation Optimisation Technique Radio Link And Equipment Radio Network Radio Spectrum Management Sensor Fusion Signal Detection Spectrum Sensing Error Statistics Threshold Selection Method Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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