Enhanced energy detection based spectrum sensing in cognitive radio networks using Random Matrix Theory
Ahmed, A. Hu, Yim Fun Noras, James M.
Ahmed, A.
Hu, Yim Fun
Noras, James M.
Publication Date
2014
End of Embargo
Supervisor
Rights
Peer-Reviewed
Yes
Open Access status
Accepted for publication
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
Opportunistic secondary usage of underutilised radio spectrum is currently of great interest and the use of TV White Spaces (TVWS) has been considered for Long Term Evolution (LTE) broadband services. However, wireless microphones operating in TV bands pose a challenge to TVWS opportunistic access. Efficient and proactive spectrum sensing could prevent harmful interference between collocated devices, but existing 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 with higher performance based on RMT supported by a new formula for the estimation of noise variance. The performance of the proposed scheme has been evaluated through extensive simulations on wireless microphone signals. The proposed scheme has also been compared to energy detection schemes, and shows higher performance in terms of the probability of false alarm (Pfa) and probability of detection (Pd).
Version
No full-text available in the repository
Citation
Ahmed A, Hu YF and Noras JM (2014) Noise Variance Estimation for Spectrum Sensing in Cognitive Radio Networks. Aasri Conference on Circuit and Signal Processing (Csp 2014) 23-25 Jul 2014, Manchester, UK: 37-43.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Conference Paper