The Area Under a Receiver Operating Characteristic Curve Over Enriched Multipath Fading Conditions
Paschalis C. Sofotasios, Mulugeta K. Fikadu, Khuong Ho-Van, Mikko, Valkama, and George K. Karagiannidis

TL;DR
This paper analyzes the performance of energy detection spectrum sensing over enriched Nakagami-q fading conditions using the area under the ROC curve (AUC), providing new analytical expressions for average AUC and its complement.
Contribution
It introduces novel analytical formulas for average AUC and CAUC under Nakagami-q fading, enhancing performance evaluation in cognitive radio and radar systems.
Findings
Performance degrades with increased fading severity.
Derived expressions are computationally efficient.
Energy detection performance is closely linked to fading parameters.
Abstract
This work is devoted to the analysis of the performance of energy detection based spectrum sensing in the presence of enriched fading conditions which are distinct for the large number of multipath components and the lack of a dominant components. This type of fading conditions are characterized efficiently by the well known Nakagami or Hoyt distribution and the proposed analysis is carried out in the context of the area under the receiver operating characteristics (ROC) curve (AUC). Unlike the widely used probability of detection metric, the AUC is a single metric and has been shown to be rather capable of evaluating the performance of a detector in applications relating to cognitive radio, radar systems and biomedical engineering, among others. Based on this, novel analytic expressions are derived for the average AUC and its complementary metric, average CAUC, for both integer…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Distributed Sensor Networks and Detection Algorithms · Radar Systems and Signal Processing
