INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Adaptive Weighting in Cooperative Sequential Energy Detection considering Instantaneously Non-Identically Distributed Samples: Review
Authors Name:
Mayank Sahu
, Amit Baghel
Unique Id:
IJSDR1811017
Published In:
Volume 3 Issue 11, November-2018
Abstract:
In Cognitive Radio (CR), spectrum sensing is a process of sensing the spectrum for the primary user activity though which CR takes decision for transmission. Cooperative detection is a scheme of spectrum sensing in which various CR cooperate with each other and takes their decision collectively. Sequential Detection in which past observations are also used for taking detection decision also used to improve the performance and to further enhance the performance adaptive weighting scheme is also employed. This paper is an effort to provide an overview on sequential cooperative spectrum sensing with adaptive weighting for the case of independent and identically distributed samples, which we would like to further extend to instantaneously independent non identically distributed samples case.
Keywords:
CR (Cognitive Radio), i.i.d. (independent and identically distributed), i.i.n.i.d. (instantaneously independent non identically distributed), LRT (Likelihood Ratio Test), ROC (Receiver Operating Characteristics), SPRT (Sequential Probability Ratio Test)
Cite Article:
"Adaptive Weighting in Cooperative Sequential Energy Detection considering Instantaneously Non-Identically Distributed Samples: Review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.95 - 97, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811017.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1811017
Registration ID:180777
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 95 - 97
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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