TY - GEN
T1 - Energy-efficient power adaptation for cognitive radio systems under imperfect channel sensing
AU - Ozcan, Gozde
AU - Gursoy, M. Cenk
PY - 2014
Y1 - 2014
N2 - In this paper, energy efficient power adaptation is considered in sensing-based spectrum sharing cognitive radio systems in which secondary users first perform channel sensing and then initiate data transmission with two power levels based on the sensing decisions (e.g., idle or busy). It is assumed that spectrum sensing is performed by the cognitive secondary users, albeit with possible errors. In this setting, the optimization problem of maximizing the energy efficiency (EE) subject to peak/average transmission power constraints and average interference constraints is considered. The circuit power is taken into account for total power consumption. By exploiting the quasiconcave property of the EE maximization problem, the original problem is transformed into an equivalent parameterized concave problem and Dinkelbach's method-based iterative power adaptation algorithm is proposed. The impact of sensing performance, peak/average transmit power constraints and average interference constraint on the energy efficiency of cognitive radio systems is analyzed.
AB - In this paper, energy efficient power adaptation is considered in sensing-based spectrum sharing cognitive radio systems in which secondary users first perform channel sensing and then initiate data transmission with two power levels based on the sensing decisions (e.g., idle or busy). It is assumed that spectrum sensing is performed by the cognitive secondary users, albeit with possible errors. In this setting, the optimization problem of maximizing the energy efficiency (EE) subject to peak/average transmission power constraints and average interference constraints is considered. The circuit power is taken into account for total power consumption. By exploiting the quasiconcave property of the EE maximization problem, the original problem is transformed into an equivalent parameterized concave problem and Dinkelbach's method-based iterative power adaptation algorithm is proposed. The impact of sensing performance, peak/average transmit power constraints and average interference constraint on the energy efficiency of cognitive radio systems is analyzed.
KW - Channel sensing
KW - energy efficiency
KW - interference power constraints
KW - power adaptation
KW - probability of detection
KW - probability of false alarm
KW - transmit power constraints
UR - http://www.scopus.com/inward/record.url?scp=84904512080&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904512080&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2014.6849317
DO - 10.1109/INFCOMW.2014.6849317
M3 - Conference contribution
AN - SCOPUS:84904512080
SN - 9781479930883
T3 - Proceedings - IEEE INFOCOM
SP - 706
EP - 711
BT - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2014
Y2 - 27 April 2014 through 2 May 2014
ER -