Open AccessData fusion‐aided cognitive radio network over generalised fading channels
Author(s) -
Nallagonda Srinivas
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2018.7727
Subject(s) - fading , cognitive radio , computer science , fusion , electronic engineering , fading distribution , sensor fusion , algorithm , channel (broadcasting) , telecommunications , artificial intelligence , engineering , wireless , rayleigh fading , linguistics , philosophy
In this Letter, the authors study analytical performance of various soft data fusion (SDF) schemes over generalised fading channels in a cognitive radio network. Two generalised fading models, namely, κ − μ and η − μ are considered individually in the sensing channels and various SDF techniques are implemented at the fusion centre. Novel analytical frameworks for cooperative detection probability are developed subject to SDF and generalised fading and validated through computer simulations. Optimal values of the detection thresholds are determined where an average error rate is minimum.