The effect of noise correlation on fractional sampling based spectrum sensing
2013 (English)In: Communications (ICC), 2013 IEEE International Conference on, IEEE , 2013, 2589-2594 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2013. 2589-2594 p.
, IEEE International Conference on Communications, ISSN 1550-3607
Eigenvalue Distribution, Fractional Sampling, Noise Correlation, Spectrum Sensing
IdentifiersURN: urn:nbn:se:kth:diva-139006DOI: 10.1109/ICC.2013.6654925ScopusID: 2-s2.0-84891359357ISBN: 978-146733122-7OAI: oai:DiVA.org:kth-139006DiVA: diva2:682126
2013 IEEE International Conference on Communications, ICC 2013; Budapest; Hungary; 9 June 2013 through 13 June 2013
QC 201402122013-12-232013-12-232014-02-12Bibliographically approved