Spectrum Sensing Optimisation for Dynamic Primary User Signal

Spectrum Sensing Schemes for Dynamic Primary User Signal Under AWGN and Rayleigh Fading Channels

Secure Collaborative Spectrum Sensing in the Presence of Primary User Emulation Attack in Cognitive Radio Networks

Collaborative Spectrum Sensing (CSS) is an effective approach to improve the detection performance in Cognitive Radio (CR) networks. Inherent characteristics of the CR have imposed some additional security threats to the networks. One of the common threats is Primary User Emulation Attack (PUEA). In PUEA, some malicious users try to imitate primary signal characteristics and defraud the CR user...

Spectrum Sensing, Detection and Optimisation in Cognitive Radio for Non-Stationary Primary User Signals

Cognitive radio is an emerging technology proposing the concept of dynamic spectrum access as a solution to the looming problem of spectrum scarcity caused by the growth in wireless communication systems. Under the proposed concept, nonlicensed, secondary users (SU) can access spectrum owned by licensed, primary users (PU) so long as interference to PU are kept minimal. Spectrum sensing is a cr...

Spectrum Sensing Schemes for Static Primary User Signal under Awgn and Rayleigh Fading Channels

This paper taught the performance of the proposed sensing models, namely, constant false alarm ratedynamic waveform detector (CFAR-DWD) are categorized as dynamic threshold (DT), two-stage (TS), and adaptive two-stage (ATS) detection for accurately detecting of the static-primary user (PU) signals, where the state of the PU signal not change during the sensing duration. Whereby it is carried ou...

A Cyclostationarity-Based Spectrum Sensing Scheme for Cognitive Radios With Dynamic Primary User Signals

This paper addresses a cyclostationarity-based spectrum sensing scheme for cognitive radios in dynamic primary user (PU) traffic environments where the PU might randomly depart or arrive during the sensing period. At first, the spectrum sensing problem in dynamic PU traffic environments is formulated as a binary hypothesis testing problem. Then, a test statistic for spectrum sensing is derived ...