TY - GEN
T1 - Performance comparison of VoIP cognitive radio networks under On/Off and poisson primary arrivals
AU - Castellanos-Lopez, S. Lirio
AU - Cruz-Pérez, Felipe A.
AU - Rivero-Angeles, Mario E.
AU - Hernandez-Valdez, Genaro
PY - 2013
Y1 - 2013
N2 - In the literature, Poisson or ON/OFF models have been commonly used to characterize the primary arrival process in cognitive radio networks (CRNs). In this paper, the performance analysis of CRNs with VoIP traffic considering either Poisson or ON/OFF models for the primary arrival characterization is evaluated and compared. To provide a fair basis of comparison for the ON/OFF and Poisson arrival models, the same both resource utilization factor and mean white space duration in both arrival models are considered. To the best of the authors' knowledge, this performance comparison of CRNs with VoIP traffic under these arrivals models has not been reported in the literature yet. Numerical results show that system performance metrics (new session blocking probability, packet dropping probability, and packet delay) are more pessimistic under the Poisson model than under the ON/OFF model. This is due to the fact that the variance of the white space duration is greater in the Poisson model than in the ON/OFF model.
AB - In the literature, Poisson or ON/OFF models have been commonly used to characterize the primary arrival process in cognitive radio networks (CRNs). In this paper, the performance analysis of CRNs with VoIP traffic considering either Poisson or ON/OFF models for the primary arrival characterization is evaluated and compared. To provide a fair basis of comparison for the ON/OFF and Poisson arrival models, the same both resource utilization factor and mean white space duration in both arrival models are considered. To the best of the authors' knowledge, this performance comparison of CRNs with VoIP traffic under these arrivals models has not been reported in the literature yet. Numerical results show that system performance metrics (new session blocking probability, packet dropping probability, and packet delay) are more pessimistic under the Poisson model than under the ON/OFF model. This is due to the fact that the variance of the white space duration is greater in the Poisson model than in the ON/OFF model.
KW - Cognitive radio networks
KW - Joint connection and packet level analysis
KW - ON/OFF and Poisson arrival models
KW - VoIP-traffic
UR - http://www.scopus.com/inward/record.url?scp=84893333820&partnerID=8YFLogxK
U2 - 10.1109/PIMRC.2013.6666717
DO - 10.1109/PIMRC.2013.6666717
M3 - Contribución a la conferencia
AN - SCOPUS:84893333820
SN - 9781467362351
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 3302
EP - 3307
BT - 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
T2 - 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
Y2 - 8 September 2013 through 11 September 2013
ER -