TY - JOUR
T1 - Erlang capacity performance evaluation of spectrum adaptation strategies in cognitive radio networks
AU - Castellanos-Lopez, S. Lirio
AU - Cruz-Pérez, Felipe A.
AU - Hernandez-Valdez, Genaro
AU - Rivero-Angeles, Mario E.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Interruption of ongoing calls of secondary users (SUs) due to the arrival of primary users (PUs) is one of the most relevant factors that degrade both quality of service and system throughput in cognitive radio networks (CRNs). In this paper, the Erlang capacity achieved by different resource management mechanisms previously proposed in the literature to mitigate the effects of call interruptions is evaluated and compared when they are employed separately in cognitive radio networks (CRNs) with heterogeneous traffic. This evaluation is done to identify the most relevant mechanisms to improve the performance of these networks. Also, strategies that jointly employ different resource management techniques and spectrum adaptation to exploit the synergy of the different mechanisms are proposed and evaluated. The aim of the proposed spectrum allocation strategy is to take advantage of the flexibility and delay tolerance features of elastic traffic. Additionally, a mathematical model for the performance analysis of the proposed strategies in CRNs with heterogeneous traffic is developed. Numerical results demonstrate that call buffering and adaptive spectrum mechanisms in heterogeneous traffic CRNs can significantly improve overall system performance by efficiently exploiting the elasticity of delay-tolerant traffic.
AB - Interruption of ongoing calls of secondary users (SUs) due to the arrival of primary users (PUs) is one of the most relevant factors that degrade both quality of service and system throughput in cognitive radio networks (CRNs). In this paper, the Erlang capacity achieved by different resource management mechanisms previously proposed in the literature to mitigate the effects of call interruptions is evaluated and compared when they are employed separately in cognitive radio networks (CRNs) with heterogeneous traffic. This evaluation is done to identify the most relevant mechanisms to improve the performance of these networks. Also, strategies that jointly employ different resource management techniques and spectrum adaptation to exploit the synergy of the different mechanisms are proposed and evaluated. The aim of the proposed spectrum allocation strategy is to take advantage of the flexibility and delay tolerance features of elastic traffic. Additionally, a mathematical model for the performance analysis of the proposed strategies in CRNs with heterogeneous traffic is developed. Numerical results demonstrate that call buffering and adaptive spectrum mechanisms in heterogeneous traffic CRNs can significantly improve overall system performance by efficiently exploiting the elasticity of delay-tolerant traffic.
KW - Call buffering
KW - Cognitive radio networks
KW - Elastic traffic
KW - Multi-services
KW - Performance analysis
KW - Preemptive priority
KW - Spectrum adaptation
KW - Transmission delay
UR - http://www.scopus.com/inward/record.url?scp=84964498720&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2015.7390932
DO - 10.1109/VTCFall.2015.7390932
M3 - Artículo de la conferencia
AN - SCOPUS:84964498720
SN - 1550-2252
JO - IEEE Vehicular Technology Conference
JF - IEEE Vehicular Technology Conference
IS - VOL
M1 - 7390932
T2 - 82nd IEEE Vehicular Technology Conference, VTC Fall 2015
Y2 - 6 September 2015 through 9 September 2015
ER -