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Spectrum Sensing With Energy Detection in Multiple Alternating Time Slots

Călin Vlădeanu, Alexandru Marţian, Dimitrie C. Popescu

2022IEEE Access18 citationsDOIOpen Access PDF

Abstract

Energy detection (ED) represents a low complexity approach used by secondary users (SU) to sense spectrum occupancy by primary users (PU) in cognitive radio (CR) systems. In this paper, we present a new algorithm that senses the spectrum occupancy by performing ED in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> consecutive sensing time slots starting from the current slot and continuing by alternating before and after the current slot. We consider a PU traffic model specified in terms of an average duty cycle value, and derive analytical expressions for the false alarm probability (FAP) and correct detection probability (CDP) for any value of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> . Our analysis is corroborated with numerical results in which Monte-Carlo simulations are used to determine FAP and CDP to confirm the validity of the analytical expressions obtained and to illustrate that good receiver operating characteristic (ROC) performance is reached for reasonably small values of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> .

Topics & Concepts

NotationEnergy (signal processing)Spectrum (functional analysis)False alarmValue (mathematics)AlgorithmDuty cycleDiscrete mathematicsComputer scienceMathematicsArtificial intelligenceStatisticsArithmeticPhysicsEngineeringElectrical engineeringQuantum mechanicsVoltageCognitive Radio Networks and Spectrum SensingAdvanced MIMO Systems OptimizationPower Line Communications and Noise