Abstract / Description of output
This paper investigates optimization of the sensing threshold that minimizes the total error rate (i.e., the sum of the probabilities of false alarm and missed detection) of eigenvalue-based spectrum sensing techniques for multiple-antenna cognitive radio networks. Four techniques are investigated, which are maximum eigenvalue detection (MED), maximum minimum eigenvalue (MME) detection, energy with minimum eigenvalue (EME) detection, and the generalized likelihood ratio test (GLRT) detection. The contribution of this paper is of four parts. Firstly, we present the derivative of the matrix-variate confluent hypergeometric function, which is required for the MED case. Secondly, we derive the probabilities of false alarm for both cases MME and EME detection. Thirdly, we derive the probability of missed detection for the GLRT detector. Finally, we provide the exact expressions required to obtain the optimal sensing thresholds for all cases. The simulation results reveal that for all the investigated cases the chosen optimal sensing thresholds achieve the minimum total error rate.
Original language | English |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 7734-7738 |
Number of pages | 5 |
ISBN (Print) | 9781479928927 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy, Florence, United Kingdom Duration: 4 May 2014 → 9 May 2014 |
Conference
Conference | ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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Country/Territory | United Kingdom |
City | Florence |
Period | 4/05/14 → 9/05/14 |
Keywords / Materials (for Non-textual outputs)
- Cognitive radio
- eigenvalue-based spectrum sensing
- matrix-variate confluent hyper-geometric function
- optimal decision threshold