Linear Soft Combination for Cooperative Spectrum Sensing in Cognitive Radio Networks

In this letter, we study the cooperative energy-based combination for spectrum sensing in cognitive radio networks. Linear combination rule is investigated to minimize the probability of missed detection subject to an upper limit on the probability of false alarm. We propose a novel and practical li...

Full description

Saved in:
Bibliographic Details
Published in:IEEE communications letters 2017-07, Vol.21 (7), p.1573-1576
Main Authors: Guo, Huayan, Jiang, Wei, Luo, Wu
Format: Article
Language:English
Subjects:
Alarm systems
Channel estimation
Cognitive radio
cooperative spectrum sensing
Fading
Fading channels
linear fusion rule
LLR-based detector
Probability density function
Radio networks
Reactive power
Sensors
Signal to noise ratio
soft combining
Statistical tests
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this letter, we study the cooperative energy-based combination for spectrum sensing in cognitive radio networks. Linear combination rule is investigated to minimize the probability of missed detection subject to an upper limit on the probability of false alarm. We propose a novel and practical linear combination rule, which only requires the mean and variance of the local test statistics. The performance of the proposed combination rule is verified in three typical fading scenarios: the slow fading, the block fading, and the fast fading. Simulations show that the proposed strategy has nearly the same performance as the optimal likelihood-ratio test approaches, and outperforms the conventional linear combination methods.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2017.2686393