An Enhanced Detection Technique of Cognitive Radio Networks

An Enhanced Detection Technique of Cognitive Radio Networks There are two types of sensing techniques available for spectrum sensing in cognitive radio networks (CRNs), signal specific sensing and blind sensing. Blind sensing is more popular because it does not require prior information of primary users (PUs). Conventional-energy detector (C-ED) is one of the examples of blind sensing technique, ease to implement and simplicity are main features of C-ED but at low signal to noise ratio (SNR) its performance degrades. The main factor of performance degradation is sensing failure problem which occurs at low SNR. In this paper, we introduce an improved-energy detector with adaptive double threshold (I-ED-ADT) sensing scheme to overcome sensing failure problem. In this method, each CR makes a local decision in the form of binary bit (0 or 1) when observed energy lies out of the confused region or lies within the confused region. Further, ED-ADT detector uses cooperative sensing where final decision about the presence or absence of PU signal is taken at fusion center (FC) after processing the received decisions. We have carried out MATLAB simulation tool to prove the superiority of the sensing technique in achieving a tradeoff between sensing time and detection performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

An Enhanced Detection Technique of Cognitive Radio Networks

Loading next page...
 
/lp/springer_journal/an-enhanced-detection-technique-of-cognitive-radio-networks-qpu2w3shLI
Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4827-6
Publisher site
See Article on Publisher Site

Abstract

There are two types of sensing techniques available for spectrum sensing in cognitive radio networks (CRNs), signal specific sensing and blind sensing. Blind sensing is more popular because it does not require prior information of primary users (PUs). Conventional-energy detector (C-ED) is one of the examples of blind sensing technique, ease to implement and simplicity are main features of C-ED but at low signal to noise ratio (SNR) its performance degrades. The main factor of performance degradation is sensing failure problem which occurs at low SNR. In this paper, we introduce an improved-energy detector with adaptive double threshold (I-ED-ADT) sensing scheme to overcome sensing failure problem. In this method, each CR makes a local decision in the form of binary bit (0 or 1) when observed energy lies out of the confused region or lies within the confused region. Further, ED-ADT detector uses cooperative sensing where final decision about the presence or absence of PU signal is taken at fusion center (FC) after processing the received decisions. We have carried out MATLAB simulation tool to prove the superiority of the sensing technique in achieving a tradeoff between sensing time and detection performance.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 20, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off