NDLI: A Low-Complexity Cyclostationary-Based Spectrum Sensing for UWB and WiMAX Coexistence With Noise Uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Tani, A. Fantacci, R.
Copyright Year	1967
Abstract	This paper focuses on a cognitive radio approach based on a noncooperative spectrum-sensing technique that is suitable for applications in detection and avoidance (DAA) schemes to allow coexistence between ultrawideband multiband (secondary user) and Worldwide Interoperability for Microwave Access (WiMAX; primary user) systems and, hence, improve spectral efficiency. In particular, the cyclostationary property of WiMAX signals due to the cyclic prefix is exploited here. The spectrum-sensing method devised in this paper is a statistical test that relies on cyclostationarity, and it belongs to the class of the single-cycle detector. The performance of the proposed detector, in terms of primary-user detection probability, is derived by computer simulations. The results obtained highlight that the proposed approach enables efficient downlink detection under conditions of low signal-to-noise ratio (SNR) and noise uncertainty. The implementation complexity of the proposed method is also discussed here to highlight advantages with respect to previously proposed alternatives. Finally, an analytical approach is presented to derive the false-alarm probability to allow the implementation of a constant false-alarm rate detector. In addition, the use of an efficient interference-mitigation scheme is also considered to improve the bit-error-rate performance.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	2940
Ending Page	2950
Page Count	11
File Size	1228946
File Format	PDF
ISSN	00189545
Volume Number	59
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	WiMAX Uncertainty Detectors Signal to noise ratio Cognitive radio Ultra wideband technology Testing Probability Computer simulation Downlink ultrawideband (UWB) communications Cognitive radio (CR) spectrum sensing
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multiantenna-Assisted Spectrum Sensing for Cognitive Radio

Detect and avoid: an ultra-wideband/WiMAX coexistence mechanism [Topics in Radio Communications]

A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance

Low-Complexity Energy Detection for Spectrum Sensing With Random Arrivals of Primary Users

Wideband Spectrum Sensing for Cognitive Radios: A Multistage Wiener Filter Perspective

A Novel Spectrum-Sensing Technique in Cognitive Radio Based on Stochastic Resonance

Joint Detection of Primary Systems Using UWB Impulse Radios

Optimization of Cooperative Spectrum Sensing in Cognitive Radio

A Low-Complexity Sequential Spectrum Sensing Algorithm for Cognitive Radio

A Low-Complexity Cyclostationary-Based Spectrum Sensing for UWB and WiMAX Coexistence With Noise Uncertainty

Similar Documents

Multiantenna-Assisted Spectrum Sensing for Cognitive Radio

Detect and avoid: an ultra-wideband/WiMAX coexistence mechanism [Topics in Radio Communications]

A Novel Sequential Spectrum Sensing Method in Cognitive Radio Using Suprathreshold Stochastic Resonance

Low-Complexity Energy Detection for Spectrum Sensing With Random Arrivals of Primary Users

Wideband Spectrum Sensing for Cognitive Radios: A Multistage Wiener Filter Perspective

A Novel Spectrum-Sensing Technique in Cognitive Radio Based on Stochastic Resonance

Joint Detection of Primary Systems Using UWB Impulse Radios

Optimization of Cooperative Spectrum Sensing in Cognitive Radio

A Low-Complexity Sequential Spectrum Sensing Algorithm for Cognitive Radio

A Low-Complexity Cyclostationary-Based Spectrum Sensing for UWB and WiMAX Coexistence With Noise Uncertainty