The effect of noise correlation on fractional sampling based spectrum sensing

Author

Sharma, Sanjay Kumar ; Chatzinotas, Symeon ; Ottersten, Bjorn

Author_Institution

SnT - securityandtrust.lu, Univ. of Luxembourg, Luxembourg, Luxembourg

fYear

2013

fDate

9-13 June 2013

Firstpage

2589

Lastpage

2594

Abstract

This paper considers a Fractional Sampling (FS) technique to enhance the Spectrum Sensing (SS) efficiency of a Cognitive Radio (CR) using a decision statistic based on asymptotic Random Matrix Theory (RMT). Firstly, the effect of noise correlation on eigenvalue based SS is studied analytically and by numerical evaluation. Secondly, new bounds for the Standard Condition Number (SCN) are proposed to enhance the SS efficiency in correlated noise scenarios. It is shown that proposed FS method can enhance SS efficiency up to certain FS rates at the expense of receiver complexity and no performance advantage is obtained if the FS rate is increased beyond this limit. As a result, a method for determining the operating point for the FS rate in terms of sensing performance and complexity is suggested.

Keywords

cognitive radio; communication complexity; correlation theory; eigenvalues and eigenfunctions; interference suppression; matrix algebra; radio receivers; radio spectrum management; random processes; sampling methods; statistical analysis; FS method; RMT; SCN; asymptotic random matrix theory; cognitive radio; decision statistic; eigenvalue based SS; fractional sampling based spectrum sensing; noise correlation effect; numerical evaluation; receiver complexity; standard condition number; Correlation; Covariance matrices; Eigenvalues and eigenfunctions; Receivers; Sensors; White noise; Eigenvalue Distribution; Fractional Sampling; Noise Correlation; Spectrum Sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2013 IEEE International Conference on

Conference_Location

Budapest

ISSN

1550-3607

Type

conf

DOI

10.1109/ICC.2013.6654925

Filename

6654925