Energy detection based spectrum sensing over η-λ-μ fading channel

• Published in: 2016 8th International Conference on Communication Systems and Networks (COMSNETS) pp. 1 - 6
• Main Authors: Captain, Kamal M., Joshi, Manjunath V.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.01.2016
• Subjects: AWGN channels; Channels; Communication systems; Conferences; Detection; Exact solutions; Fading; Gaussian; Mathematical analysis; Probability; Rayleigh channels; Sensors; Shadow mapping; Signal to noise ratio
• ISSN: 2155-2509
• DOI: 10.1109/COMSNETS.2016.7439989

This paper investigates the performance of Energy detection based spectrum sensing over η-λ-μ fading distribution. Novel analytic expressions are derived for average probability of detection. These results for single user detection are then extended to square low selection (SLS) diversity and for collaborative detection case. Since η-λ-μ includes the Nakagami-m, the Rayleigh, the one-sided Gaussian, Hoyt, the λ-μ and the η-μ distributions as special cases, the analysis for η-λ-μ distribution provides analysis for all these fading channels. The analysis for fading is then extended to composite fading and shadowing. Receiver operating characteristic (ROC) curves are presented for different scenarios using the derived expressions. Effect of different parameters on the average probability of detection is analyzed.