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A Spectrum Sensing Technique Based on Variably Weighted Sensing Samples in the Presence of Random Traffic of Primary Users

Authors:
Eunyoung Cho
Keunhong Chae
Seokho Yoon

Keywords: Cognitive radio (CR); Random traffic; Spectrum sensing; Primary user (PU).

Abstract:
This paper investigates the spectrum sensing problem under the random traffic condition of the primary user (PU) in cognitive radio (CR) networks, where the PU may depart or arrive in a random way during the sensing period. Considering that the data transmission period of the secondary user (SU) starts right after the sensing period ends, we observe that, in the presence of the random traffic of the PU, the sensing samples in the latter part of the sensing period are more reliable in making a decision on whether the PU is present or not. Based on this observation, then, we propose spectrum sensing test statistics exploiting only sensing samples in the latter part the sensing period and assigning a larger weight to a sensing sample closer to the end of the sensing period. It is demonstrated in numerical results that the proposed methods offer a significant improvement in detection and receiver operating characteristic (ROC) performances over the conventional methods under the random traffic condition of the PU.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2017

Publication date: October 8, 2017

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-591-3

Location: Athens, Greece

Dates: from October 8, 2017 to October 12, 2017