Title :
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
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;
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/ICC.2013.6654925
