TY - GEN
T1 - Performance analysis of dynamic spectrum leasing strategies in overlay cognitive radio networks
AU - Ramirez-Reyna, Mario A.
AU - Cruz-Perez, Felipe A.
AU - Rivero-Angeles, Mario E.
AU - Hernandez-Valdez, Genaro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/24
Y1 - 2014/11/24
N2 - In this paper, dynamic spectrum leasing strategies (with and without anticipated resource leasing) for coordinated cognitive radio networks are proposed to mitigate the effects of unpredictable resource availability. It is shown that anticipated resource leasing is an effective mechanism to increase the possibility to have available resources when needed for the secondary network. Additionally, to finely control the provided quality of service, fractional channel reservation to prioritize ongoing secondary calls over new ones is considered. A teletraffic mathematical analysis for the performance evaluation of the proposed strategies is developed. The tradeoff between the spectrum leasing cost and the system Erlang capacity is also investigated. For a given maximum allowed number of simultaneously rented channels, maximum Erlang capacity is obtained by optimizing the number of reserved channels for different traffic scenarios. Numerical results reveal that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Finally, the cost per capacity a function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.
AB - In this paper, dynamic spectrum leasing strategies (with and without anticipated resource leasing) for coordinated cognitive radio networks are proposed to mitigate the effects of unpredictable resource availability. It is shown that anticipated resource leasing is an effective mechanism to increase the possibility to have available resources when needed for the secondary network. Additionally, to finely control the provided quality of service, fractional channel reservation to prioritize ongoing secondary calls over new ones is considered. A teletraffic mathematical analysis for the performance evaluation of the proposed strategies is developed. The tradeoff between the spectrum leasing cost and the system Erlang capacity is also investigated. For a given maximum allowed number of simultaneously rented channels, maximum Erlang capacity is obtained by optimizing the number of reserved channels for different traffic scenarios. Numerical results reveal that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Finally, the cost per capacity a function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.
KW - Erlang capacity
KW - call admission control
KW - dynamic spectrum leasing
KW - new call blocking and call forced termination probabilities
KW - overlay cognitive radio networks
UR - http://www.scopus.com/inward/record.url?scp=84919460384&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2014.6966113
DO - 10.1109/VTCFall.2014.6966113
M3 - Contribución a la conferencia
AN - SCOPUS:84919460384
T3 - IEEE Vehicular Technology Conference
BT - 2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 80th IEEE Vehicular Technology Conference, VTC 2014-Fall
Y2 - 14 September 2014 through 17 September 2014
ER -