NDLI: New dynamic spectrum access algorithm for TV white space cognitive radio networks

Content Provider	IET Digital Library
Author	Martin, John Hugh Dooley, Laurence Sean Wong, Kam Cheung Patrick
Abstract	As more user applications emerge for wireless devices, the corresponding amount of traffic is rapidly expanding, with the corollary that ever-greater spectrum capacity is required. Service providers are experiencing deployment blockages due to insufficient bandwidth being available to accommodate such devices. TV White Space (TVWS) represents an opportunity to supplement existing licensed spectrum by exploiting unlicensed resources. TVWS spectrum has materialised from the unused TV channels in the switchover from analogue to digital platforms. The main obstacles to TVWS adoption are reliable detection of primary users (PUs) i.e. TV operators and consumers, allied with specifically, the hidden node problem. This study presents a new Generalised Enhanced Detection Algorithm (GEDA) that exploits the unique way Digital Terrestrial TV (DTT) channels are deployed in different geographical areas. GEDA effectively transforms an energy detector into a feature sensor to achieve significant improvements in detection probability of a DTT PU. Furthermore, by framing a novel margin strategy utilising a keep-out contour, the hidden node issue is resolved and a viable secondary user sensing solution formulated. Experimental results for a cognitive radio TVWS model have formalised both the bandwidth and throughput gains secured by TVWS users with this new paradigm.
Starting Page	2591
Ending Page	2597
Page Count	7
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 18, Dec (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0213
Journal	IET Communications
Publisher Date	2016-12-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cognitive Radio Cognitive Radio TVWS Model Detection Probability Digital Television Digital Terrestrial TV Channel DTT Channel DTT PU Dynamic Spectrum Access Algorithm Energy Detector Feature Sensor GEDA Generalised Enhanced Detection Algorithm Licensed Spectrum Multi-access System Multiple Access Communication Primary User Probability Radio Link And Equipment Radio Spectrum Management Reliable Detection Secondary User Sensing Solution Service Providers Signal Detection Spectrum Capacity Statistics System And Application Telecommunication Traffic Television And Video Equipment Throughput Gain TV Operators TV White Space Cognitive Radio Network TVWS Spectrum TVWS User Unlicensed ReSource Unused TV Channel Wireless Device
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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