NDLI: Energy efficient collaborative spectrum sensing with clustering of secondary users in cognitive radio networks

Content Provider	IET Digital Library
Author	Sharma, Girraj Sharma, Ritu
Abstract	Collaborative sensing also known as cooperative spectrum sensing (CSS) is an efficient spectrum sensing technique to improve the sensing accuracy in cognitive radio (CR). However, it brings extra collaborative sensing overhead due to mutual exchange of large information among CR users. In CSS, the number of cooperative users, fusion rule, transmission power and sensing time affects the energy efficiency (EE) of the CSS. In this study, a cluster-based CSS is proposed with four fusion rules. Optimised fusion rule is determined that maximises the EE. For the proposed CSS, joint optimal sensing time and transmission power of energy efficient CSS is determined. The joint optimisation design problem is formulated as function of sensing time and transmission power subjected to primary user protection constraints. An iterative algorithm is proposed to determine joint optimal sensing time and transmission power that maximises the EE of CSS. Results show that EE is maximum for AND–OR fusion at sensing duration 2.3 ms and transmission power 1.11 W at SNR = −20 dB. Maximum EE at optimal point is = 3.735 Mbits/Hz/J.
Starting Page	1101
Ending Page	1109
Page Count	9
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 8, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5109
Journal	IET Communications
Publisher Date	2019-02-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cluster-based CSS Cognitive Radio Cognitive Radio Network CR User Efficient Spectrum Energy Efficiency Energy Efficient Collaborative Spectrum Sensing Energy Efficient CSS Extra Collaborative Sensing Joint Optimal Sensing Time Joint Optimisation Design Problem Noise Figure -20.0 DB Optimisation Optimisation Technique Optimised Fusion Rule Power 1.11 W Primary User Protection Constraint Radio Link And Equipment Radio Network Radio Spectrum Management Secondary User Sensing Accuracy Sensing Duration Signal Detection Statistics Time 2.3 Ms Transmission Power
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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