TY - GEN
T1 - VoIP erlang capacity in coordinated cognitive radio networks
AU - Castellanos-Lopez, S. Lirio
AU - Cruz-Pérez, Felipe A.
AU - Rivero-Angeles, Mario E.
AU - Hernandez-Valdez, Genaro
PY - 2013
Y1 - 2013
N2 - Guaranteeing QoS is challenging in cognitive radio networks due to the dynamically changing network resources, especially for stringent delay sensitive traffic. Dynamic spectrum leasing (and coordinated cognitive radio) of primary network resources has been previously proposed in the literature to improve QoS of secondary users. In this paper, the Erlang capacity in coordinated cognitive radio networks with VoIP traffic is investigated. Employing time-scale decomposition technique and conventional continuous and discrete time Markov chain tools, a joint connection-level and packet-level analytical model is developed. For the adequate and fair performance comparison, a call admission strategy with fractional admission threshold and fractional buffering is considered. An algorithm to determine the optimal values (i.e., the ones that maximize Erlang capacity) of the admission threshold and buffer size is proposed. For given QoS requirements at session and packet level (i.e., VoIP session blocking, packet dropping, and packet delay), the Erlang capacity as function of the maximum allowable number of simultaneously rented resources is evaluated. Additionally, the fraction of time that spectrum leasing is needed is calculated.
AB - Guaranteeing QoS is challenging in cognitive radio networks due to the dynamically changing network resources, especially for stringent delay sensitive traffic. Dynamic spectrum leasing (and coordinated cognitive radio) of primary network resources has been previously proposed in the literature to improve QoS of secondary users. In this paper, the Erlang capacity in coordinated cognitive radio networks with VoIP traffic is investigated. Employing time-scale decomposition technique and conventional continuous and discrete time Markov chain tools, a joint connection-level and packet-level analytical model is developed. For the adequate and fair performance comparison, a call admission strategy with fractional admission threshold and fractional buffering is considered. An algorithm to determine the optimal values (i.e., the ones that maximize Erlang capacity) of the admission threshold and buffer size is proposed. For given QoS requirements at session and packet level (i.e., VoIP session blocking, packet dropping, and packet delay), the Erlang capacity as function of the maximum allowable number of simultaneously rented resources is evaluated. Additionally, the fraction of time that spectrum leasing is needed is calculated.
KW - Call admission control
KW - Coordinated cognitive radio networks
KW - Erlang capacity
KW - Joint connection level and packet level analysis
KW - QoS provisioning
KW - Spectrum leasing
KW - Voip traffic
UR - http://www.scopus.com/inward/record.url?scp=84893336406&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2013.6692455
DO - 10.1109/VTCFall.2013.6692455
M3 - Contribución a la conferencia
AN - SCOPUS:84893336406
SN - 9781467361873
T3 - IEEE Vehicular Technology Conference
BT - 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
T2 - 2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Y2 - 2 September 2013 through 5 September 2013
ER -