Journal Article

·2009

On suitability of PSD method for opportunity detection in OFDM(A) based cognitive radio systems

Sultan Aldırmaz YTU , Aslı Birol YTU , İbrahim Demirdögen , Hüseyin Arslan , Lütfiye Durak-Ata YTU

Abstract

In this study, orthogonal frequency division multiple access (OFDMA) based primary and secondary usage in a cognitive radio system is considered and conventional power spectral density (PSD) based technique is used to detect the opportunities in the spectrum. Primary user employs block-based or scattered subcarrier allocation scheme and the overlay system aims to utilize the spectral gaps. Comparison of the allocation schemes and effect of windowing are presented in terms of true detection and false alarm rates. It is observed that when block-based allocation is employed, the unlicensed user will be able to detect more opportunities in the spectrum compared to the case in which the scattered allocation is employed. Simulation results show that threshold selection is crucial since it is the main factor in determining the false alarm and true detection rates. It has been shown that, for either of the schemes all possible spectral gaps cannot be found when PSD is used. Questioning the suitability of PSD method results in that a new definition of opportunity is needed, forming a basis for the second part of this study.

Keywords

Cognitive radio Subcarrier Orthogonal frequency-division multiplexing False alarm Computer science Orthogonal frequency-division multiple access Resource allocation Spectral efficiency Overlay Electronic engineering Frequency-division multiple access Block (permutation group theory) Real-time computing Computer network Telecommunications Wireless Artificial intelligence Mathematics Engineering

Subject Areas

Cognitive Radio Networks and Spectrum Sensing ·Computer Networks and Communications ·Physical Sciences
Advanced MIMO Systems Optimization ·Electrical and Electronic Engineering ·Physical Sciences
PAPR reduction in OFDM ·Electrical and Electronic Engineering ·Physical Sciences