An Improved Energy Detector Using Outdated Channel State Information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

Volume

19

Issue

7

fYear

2015

fDate

Jul-15

Firstpage

1237

Lastpage

1240

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The performance of energy detection using outdated channel state information (CSI) over Rayleigh fading is studied where a closed form expression for the average probability of detection is derived.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cognitive radio; fading correlation function; fixed sensing scheduling energy detector; improved energy detector; outdated channel state information; Cognitive radio; Probability density function; Random variables; Rayleigh channels; Sensors; Signal to noise ratio; Adaptive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;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2015.2430330

Filename

7103021