Name
Abstract | ||
|---|---|---|
In this work, we consider the performance analysis of maximum eigenvalue-based detector (MED) for spectrum sensing in cognitive radios, under α-κ-μ and α-η-μ fading channels. The MED is known to be an asymptotically optimal test when the primary signal is unknown. Under the described fading conditions, the average probability of detection can be calculated over the probability density function (PDF) of the received SNR. In general, finding the expressions for PDF of SNR under both α-κ-μ and α-η-μ fading are difficult. However, experimental results reported in literature reveal that both these fading models accurately fit the fading model in several scenarios in an around some specific values of the underlying parameters. Motivated by this, we propose several approximations to the PDF of the received SNR under these fading models and validate our expressions through Monte Carlo simulations. Also, a detailed performance simulation study is discussed. |
Year | Venue | Field |
|---|---|---|
2017 | PIMRC | Statistical physics,Monte Carlo method,Expression (mathematics),Fading,Computer science,Real-time computing,Probability density function,Detector,Statistical power,Asymptotically optimal algorithm,Cognitive radio |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samudhyatha B. | 1 | 0 | 0.34 |
| Gurugopinath, S. | 2 | 10 | 4.65 |
| K. Saraswathi | 3 | 0 | 0.34 |