Data fusion‐aided cognitive radio network over generalised fading channels

Abstract

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, k − m and h − m 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.

Comprehensive performance analysis of data‐fusion aided cooperative cognitive radio network over η − μ fading channel

“…With this, analysis of SDCSs under the influence of individual fading channels can be avoided. Performance analysis of CSS with decision/data fusion over κ − μ fading channel is discussed in [27] and performance of data fusion-aided CR network (CRN) over κ − μ and η − μ fading channels is discussed in [28]. The present work is an extension of [28].…”

“…Performance analysis of CSS with decision/data fusion over κ − μ fading channel is discussed in [27] and performance of data fusion-aided CR network (CRN) over κ − μ and η − μ fading channels is discussed in [28]. The present work is an extension of [28]. The novel approach is explored for presenting the trade-off between hard and soft schemes for the optimal performance of the cognitive system in [29].…”