TY - GEN
T1 - Cooperative sensing throughput analysis over fading channels based on hard decision
AU - Srinu, Sesham
AU - Mishra, Amit Kumar
AU - Farooq, Shiba
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/11
Y1 - 2014/12/11
N2 - Cooperative sensing is a way of improving the performance of spectrum sensing by exploring the spatial diversity in cognitive radio networks. One of the critical parameters of cooperative sensing is the estimation of optimal sensing time over probable channel noise impediments such as AWGN, Rayleigh, and Rician fading. In this paper, the optimal sensing time is evaluated for single node as well as for multinode over fading channels based on throughput analysis of the cognitive radio user with the constraints imposed by the IEEE 802.22 WRAN standard. Hard decision fusion methods are considered to make the global decision. Performance is analysed with Monte-Carlo simulations of 1500 iterations. The simulations are carried out for different prior probabilities of licensed user signal off P(H0) and signal on P(H1) status in a channel to be scanned. The results reveal that the optimal sensing time is found to be 2.7msec in case of single node sensing and it is dependent on number of users in the case of multinode sensing over considered fading channels.
AB - Cooperative sensing is a way of improving the performance of spectrum sensing by exploring the spatial diversity in cognitive radio networks. One of the critical parameters of cooperative sensing is the estimation of optimal sensing time over probable channel noise impediments such as AWGN, Rayleigh, and Rician fading. In this paper, the optimal sensing time is evaluated for single node as well as for multinode over fading channels based on throughput analysis of the cognitive radio user with the constraints imposed by the IEEE 802.22 WRAN standard. Hard decision fusion methods are considered to make the global decision. Performance is analysed with Monte-Carlo simulations of 1500 iterations. The simulations are carried out for different prior probabilities of licensed user signal off P(H0) and signal on P(H1) status in a channel to be scanned. The results reveal that the optimal sensing time is found to be 2.7msec in case of single node sensing and it is dependent on number of users in the case of multinode sensing over considered fading channels.
KW - Cognitive Radio Network
KW - Cooperative spectrum sensing
KW - Fading channels
KW - Hard decision combination
KW - Optimal sensing time
UR - https://www.scopus.com/pages/publications/84949927855
U2 - 10.1109/ICCCT2.2014.7066708
DO - 10.1109/ICCCT2.2014.7066708
M3 - Conference Proceeding (ISBN)
AN - SCOPUS:84949927855
T3 - International Conference on Computing and Communication Technologies, ICCCT 2014
BT - International Conference on Computing and Communication Technologies, ICCCT 2014
PB - Institute of Electrical and Electronics Engineers
T2 - 2014 International Conference on Computing and Communication Technologies, ICCCT 2014
Y2 - 11 December 2014 through 13 December 2014
ER -