Random matrix theory based spectrum sensing for cognitive radio networks
Ahmed, A. Hu, Yim Fun Noras, James M. Pillai, Prashant Smith, A.
Ahmed, A.
Hu, Yim Fun
Noras, James M.
Pillai, Prashant
Smith, A.
Publication Date
2015-11-05
End of Embargo
Supervisor
Rights
Peer-Reviewed
Yes
Open Access status
closedAccess
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
Dynamic Spectrum Access (DSA) for secondary usage of underutilized radio spectrum is currently of great interest for radio regulatory authorities and for cellular network operators. However, the co-existence of multiple devices operating in the same bands, such as wireless microphones which also operate in TV bands, poses a challenge to DSA. Efficient and proactive spectrum sensing could prevent harmful interference between collocated devices, but existing blind spectrum sensing schemes such as energy detection and schemes based on Random Matrix Theory (RMT) have performance limitations. We propose a new blind spectrum sensing scheme for cognitive radio. The proposed scheme uses a new formula for the estimation of noise variance. The scheme has been evaluated through extensive simulations on wireless microphone signals and shows higher performance as compared to energy detection and RMT-based sensing schemes such as MME and EME. It also shows higher performance in terms of probability of detection (Pd).
Version
No full-text in the repository
Citation
Ahmed A, Hu Y-F, Noras JM et al (2015) Random matrix theory based spectrum sensing for cognitive radio networks. In: 2015 6th International Conference on Internet Technologies and Applications (ITA). 8-11 Sep 2015, Wrexham, Wales.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Conference paper