TY - GEN
T1 - Cognitive time variant power control in slow fading mobile channels
AU - Durowju, Olasunkanmi
AU - Arshad, Kamran
AU - Moessner, Klaus
PY - 2011
Y1 - 2011
N2 - Increased spectrum efficiency has been demonstrated with the use of cognitive radios, however with increased likelihood of interference to the incumbents of spectrum. Several studies solved the interference problem from the transmitter power control perspective, so as to curtail excessive cognitive interference powers; however, neglecting the effect of secondary terminal mobility. We show by simulation that such assumption of terminal immobility in the power control algorithm would fail in time variant cases resulting in increased levels of interference to the Incumbents as well as serious degradation in QoS within the cognitive radio network. We model the link gain evolution process as a distance dependent shadow fading process and scale up the target signal to interference ratio to cope with time variability. This paper therefore, proposes a mobility driven power control algorithm for cognitive radios based on sensing information, which ensures that the interference limit at the Incumbents is unperturbed at all times while concurrently maintaining the QoS within the cognitive radio network.
AB - Increased spectrum efficiency has been demonstrated with the use of cognitive radios, however with increased likelihood of interference to the incumbents of spectrum. Several studies solved the interference problem from the transmitter power control perspective, so as to curtail excessive cognitive interference powers; however, neglecting the effect of secondary terminal mobility. We show by simulation that such assumption of terminal immobility in the power control algorithm would fail in time variant cases resulting in increased levels of interference to the Incumbents as well as serious degradation in QoS within the cognitive radio network. We model the link gain evolution process as a distance dependent shadow fading process and scale up the target signal to interference ratio to cope with time variability. This paper therefore, proposes a mobility driven power control algorithm for cognitive radios based on sensing information, which ensures that the interference limit at the Incumbents is unperturbed at all times while concurrently maintaining the QoS within the cognitive radio network.
UR - https://www.scopus.com/pages/publications/80052002969
U2 - 10.1109/VETECS.2011.5956556
DO - 10.1109/VETECS.2011.5956556
M3 - Conference contribution
AN - SCOPUS:80052002969
SN - 9781424483310
T3 - IEEE Vehicular Technology Conference
BT - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
T2 - 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
Y2 - 15 May 2011 through 18 May 2011
ER -