2 research outputs found
Performance Analysis of Energy Detection over Mixture Gamma based Fading Channels with Diversity Reception
The present paper is devoted to the evaluation of energy detection based
spectrum sensing over different multipath fading and shadowing conditions. This
is realized by means of a unified and versatile approach that is based on the
particularly flexible mixture gamma distribution. To this end, novel analytic
expressions are firstly derived for the probability of detection over MG fading
channels for the conventional single-channel communication scenario. These
expressions are subsequently employed in deriving closed-form expressions for
the case of square-law combining and square-law selection diversity methods.
The validity of the offered expressions is verified through comparisons with
results from respective computer simulations. Furthermore, they are employed in
analyzing the performance of energy detection over multipath fading, shadowing
and composite fading conditions, which provides useful insighs on the
performance and design of future cognitive radio based communication systems.Comment: To appear in the IEEE WiMob 2015 conference proceeding
Energy Detection Based Spectrum Sensing over Enriched Multipath Fading Channels
Energy detection has been for long constituting the
most popular sensing method in RADAR and cognitive radio
systems. The present paper investigates the sensing behaviour of
an energy detector over Hoyt fading channels, which have been
extensively shown to provide rather accurate characterization of
enriched multipath fading conditions. To this end, a simple series
representation and an exact closed-form expression are firstly
derived for the corresponding average probability of detection for
the conventional single-channel communication scenario. These
expressions are subsequently employed in deriving novel analytic
results for the case of both collaborative detection and squarelaw
selection diversity reception. The derived expressions have
a relatively tractable algebraic representation which renders
them convenient to handle both analytically and numerically.
As a result, they can be utilized in quantifying the effect of
fading in energy detection based spectrum sensing and in the
determination of the trade-offs between sensing performance and
energy efficiency in cognitive radio communications. Based on
this, it is shown that the performance of the energy detector
depends highly on the severity of fading as even slight variations
of the fading conditions affect the value of the average probability
of detection. It is also clearly shown that the detection
performance improves substantially as the number of branches
or collaborating users increase. This improvement is substantial
in both moderate and severe fading conditions and can practically
provide full compensation for the latter case