Title :
An Improved Energy Detector Using Outdated Channel State Information
Author :
Abu Alkheir, Ala ; Mouftah, Hussein T.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
The performance of energy detection using outdated channel state information (CSI) over Rayleigh fading is studied where a closed form expression for the average probability of detection is derived. This expression unveils the dependence of the probability of detection on the estimated CSI as well as the fading correlation function. Using this dependence, we propose a novel adaptive sensing-scheduling algorithm that outperforms the fixed sensing-scheduling energy detector with no CSI information. The accuracy of the derived results is verified using computer simulations.
Keywords :
Rayleigh channels; cognitive radio; fading channels; probability; CSI; Rayleigh fading; adaptive sensing scheduling algorithm; average probability; closed form expression; cognitive radio; fading correlation function; fixed sensing scheduling energy detector; improved energy detector; outdated channel state information; Cognitive radio; Probability density function; Random variables; Rayleigh channels; Sensors; Signal to noise ratio; Adaptive Sensing-Scheduling; Cognitive Radio,; Cognitive radio; Correlation Coefficient; adaptive sensing-scheduling; correlation coefficient;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2430330