80
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Cognitive (LabVIEW) on FPGA–a novel approach for dynamic spectrum sensing

&
Pages 13-23 | Received 02 Jul 2013, Accepted 02 Mar 2014, Published online: 03 May 2014
 

Abstract

The spectrum allotted for communications has been distributed to various service providers, who maintain and manage their portion of the spectrum by accommodating as many users as possible through spectral management techniques. Static spectrum management has been replaced by dynamic spectrum management to meet the vastly increasing number of users. Although dynamic spectrum management techniques have enabled the efficient assignment of channels to the user, it has been statistically observed that a huge part of the communications spectrum is scarcely used at all times. Cognitive radio is a useful tool for efficient dynamic spectrum management. The cognitive radio is adaptive in nature and is most effective because of its ability to monitor the spectrum, sense the channel occupancy and mobilise the secondary user to an unused primary user channel, as well as to relocate the secondary user if the primary user wishes to communicate. In this work, the energy-detection method and the cyclostationary method, which are the methods to sense the spectrum, are analysed and the results are compared. Simulation is done using a LabVIEW tool (National Instruments, Bangalore, India) and finally the implementation is done on a Field Programmable Gate Array.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 309.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.