On the interplay between channel sensing and estimation in cognitive radio systems
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
Item Usage Stats
MetadataShow full item record
Cognitive radio transmissions in the presence of channel uncertainty are considered. In practical scenarios, cognitive secondary users need to perform both channel sensing in order to identify whether the channel is being occupied by the primary users or not, and also channel estimation in order to learn the channel fading coefficients. Generally, errors occur in both channel sensing and estimation, and this leads to a coupling between the two. More specifically, imperfect sensing affects both the structure and the performance of channel estimation schemes. With this motivation, the interactions between channel sensing and estimation are studied in this paper. In particular, different channel estimation schemes including minimum mean-square error (MMSE), linear MMSE, and mismatched MMSE estimations are analyzed, and their dependence on sensing decisions and their performances are investigated. © 2011 IEEE.
minimum mean-square error estimation
Minimum mean-square error
Minimum mean-square-error estimations
Mean square error
Published Version (Please cite this version)http://dx.doi.org/10.1109/GLOCOM.2011.6133711
Showing items related by title, author, creator and subject.
Gezici, Sinan; Celebi, H.; Arslan, H.; Poor, H. V. (IEEE, 2008-09)In this paper, theoretical limits on time delay estimation are studied for ultra-wideband (UWB) cognitive radio systems. For a generic UWB spectrum with dispersed bands, the Cramer-Rao lower bound (CRLB) is derived for ...
Güldoǧan, Mehmet Burak; Arıkan, Orhan (IEEE, 2007-06)Bu bildiride, çarpraz belirsizlik işlevinin kullanıldığı yeni bir dizilim sinyal işleme tekniği önerilmektedir. Geliştirilen teknik bir algılayıcı dizilimine gelen sinyallerden herbirinin geliş yönünü (GY), zaman gecikmesini ...
Güldoğan, M. Burak; Arıkan, Orhan (IEEE, 2008-07)In this paper, performance of the recently proposed Cross Ambiguity Function - Direction Finding (CAF-DF) technique is compared with the Space Alternating Generalized Expectation Maximization (SAGE) technique. The CAF-DF, ...