Abstract
This paper presents an improved energy detector (ED) with weights to improve detection performance in this situation that the primary user's status changes as arriving or leaving randomly in cognitive radio networks. The idea is derived from the concept of unequal scale sampling such that the instantaneous energy statistic of the sampling points in the sensing period is endowed with monotonic weights. The probabilities of false alarm and detection for our ED are deduced under the new detection model. Numerical simulation results show that the proposed ED offers better detection performances with a reduced probability of false alarm compared to conventional ED, and improved energy detector can improve the overall probabilities of detection, when spectrum sensing is performed for a network with high traffic.
Highlights
Cognitive radio (CR) [1] emerges as a way to improve the overall spectrum usage by exploiting spectrum opportunities in both licensed and unlicensed bands and its development has been widespread concerned by academia and industry
Numerical simulation results show that, for primary users (PU) status changes, the improved Energy Detection (ED) proposed with weights offers better detection performance with reducing probability of false alarm compared to the existing EDs, and it can improve the overall probabilities of detection, when spectrum sensing is performed for a network with high traffic
A PU may arrive or leave during the sensing period, especially when a long sensing period is used to achieve good sensing performance or when spectrum sensing is performed for a network with high traffic
Summary
Cognitive radio (CR) [1] emerges as a way to improve the overall spectrum usage by exploiting spectrum opportunities in both licensed and unlicensed bands and its development has been widespread concerned by academia and industry. The spectrum sensing performance was significantly degraded by PU traffic and the degradation decreased when the number of PUs increased; the extent of this degradation is related to how long the spectrum band was occupied by the PU and the SNR received at the SU This other research [9,10,11,12] focuses on performance analysis; any new detection scheme has not been proposed to solve or resist this problem. Numerical simulation results show that, for PU status changes, the improved ED proposed with weights offers better detection performance with reducing probability of false alarm compared to the existing EDs, and it can improve the overall probabilities of detection, when spectrum sensing is performed for a network with high traffic.
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