TY - GEN
T1 - QoS analysis of cognitive radio channels with perfect CSI at both receiver and transmitter
AU - Akin, Sami
AU - Gursoy, Mustafa Cenk
PY - 2010
Y1 - 2010
N2 - In this paper, cognitive transmission under quality of service (QoS) constraints is studied. In the cognitive radio channel model, it is assumed that both the secondary receiver and the secondary transmitter know the channel fading coefficients perfectly and optimize the power adaptation policy under given constraints, depending on the channel activity of the primary users, which is determined by channel sensing performed by the secondary users. The transmission rates are equal to the instantaneous channel capacity values. A state transition model with four states is constructed to model this cognitive transmission channel. Statistical limitations on the buffer lengths are imposed to take into account the QoS constraints. The maximum throughput under these statistical QoS constraints is identified by finding the effective capacity of the cognitive radio channel. The impact upon the effective capacity of several system parameters, including the channel sensing duration, detection threshold, detection and false alarm probabilities, and QoS parameters, is investigated.
AB - In this paper, cognitive transmission under quality of service (QoS) constraints is studied. In the cognitive radio channel model, it is assumed that both the secondary receiver and the secondary transmitter know the channel fading coefficients perfectly and optimize the power adaptation policy under given constraints, depending on the channel activity of the primary users, which is determined by channel sensing performed by the secondary users. The transmission rates are equal to the instantaneous channel capacity values. A state transition model with four states is constructed to model this cognitive transmission channel. Statistical limitations on the buffer lengths are imposed to take into account the QoS constraints. The maximum throughput under these statistical QoS constraints is identified by finding the effective capacity of the cognitive radio channel. The impact upon the effective capacity of several system parameters, including the channel sensing duration, detection threshold, detection and false alarm probabilities, and QoS parameters, is investigated.
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U2 - 10.1109/WCNC.2010.5506773
DO - 10.1109/WCNC.2010.5506773
M3 - Conference contribution
AN - SCOPUS:77955015936
SN - 9781424463985
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
T2 - IEEE Wireless Communications and Networking Conference 2010, WCNC 2010
Y2 - 18 April 2010 through 21 April 2010
ER -