Open AccessPerformance analysis of energy detection‐based spectrum sensing in κ–μ shadowed fading
Author(s) -
Aloqlah M.
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.2944
Subject(s) - fading , detector , monte carlo method , probability density function , energy (signal processing) , fading distribution , statistical physics , algorithm , computer science , function (biology) , basis (linear algebra) , electronic engineering , mathematics , statistics , physics , telecommunications , engineering , rayleigh fading , decoding methods , evolutionary biology , biology , geometry
The performance of an energy detector operating over κ–μ shadowed fading is investigated. A novel closed‐form expression for the average detection probability using the well‐known probability density function‐based method is derived. The unified framework, in terms of Fox's H‐function, shows that the obtained results can be used for arbitrary values of fading parameters. On the basis of this derived analytical formula, the impact of key fading parameters on the performance of the energy detector is discussed. Furthermore, the accuracy of the analytical expressions is substantiated by Monte Carlo simulation results.