TY - GEN
T1 - Uncoded image transmission in cognitive radio systems
AU - Ye, Chuang
AU - Ozcan, Gozde
AU - Gursoy, M. Cenk
AU - Velipasalar, Senem
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/5
Y1 - 2014/2/5
N2 - In this paper, we consider robust uncoded image transmission in cognitive radio systems, where the secondary user initially performs channel sensing with possible sensing errors in the form of false alarms and miss detections, and then sends image data to the secondary receiver with two power levels depending on the sensing decisions (e.g., idle or busy). It is assumed that two dimensional (2-D) Discrete Cosine Transform (DCT) is applied to the image and the resulting DCT coefficients are directly transmitted through the wireless channel under sensing uncertainty. At the secondary receiver, DCT coefficients are first estimated via linear minimum mean square error (LMMSE) or MMSE estimation, then the received image is reconstructed. In this setting, the optimal power levels that minimize the mean squared error (MSE) of LMMSE estimation are obtained subject to average transmit power and average interference power constraints. Also, a low-complexity power control algorithm is proposed. The impact of imperfect sensing decisions and power constraints on the performance of uncoded image transmission in cognitive radio systems is analyzed through simulations. In addition, the performances of estimating DCT coefficient by using MMSE and LMMSE are compared.
AB - In this paper, we consider robust uncoded image transmission in cognitive radio systems, where the secondary user initially performs channel sensing with possible sensing errors in the form of false alarms and miss detections, and then sends image data to the secondary receiver with two power levels depending on the sensing decisions (e.g., idle or busy). It is assumed that two dimensional (2-D) Discrete Cosine Transform (DCT) is applied to the image and the resulting DCT coefficients are directly transmitted through the wireless channel under sensing uncertainty. At the secondary receiver, DCT coefficients are first estimated via linear minimum mean square error (LMMSE) or MMSE estimation, then the received image is reconstructed. In this setting, the optimal power levels that minimize the mean squared error (MSE) of LMMSE estimation are obtained subject to average transmit power and average interference power constraints. Also, a low-complexity power control algorithm is proposed. The impact of imperfect sensing decisions and power constraints on the performance of uncoded image transmission in cognitive radio systems is analyzed through simulations. In addition, the performances of estimating DCT coefficient by using MMSE and LMMSE are compared.
KW - Channel sensing
KW - Cognitive radio
KW - DCT
KW - Image transmission
KW - LMMSE
KW - MMSE
KW - Power control
KW - Probability of detection
KW - Probability of false alarm
KW - Uncoded transmission
UR - http://www.scopus.com/inward/record.url?scp=84949929128&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949929128&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2014.7032316
DO - 10.1109/GlobalSIP.2014.7032316
M3 - Conference contribution
AN - SCOPUS:84949929128
T3 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
SP - 1219
EP - 1223
BT - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Y2 - 3 December 2014 through 5 December 2014
ER -