TY - GEN
T1 - Image and video transmission in cognitive radio systems under sensing uncertainty
AU - Ye, Chuang
AU - Ozcan, Gozde
AU - Gursoy, M. Cenk
AU - Velipasalar, Senem
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/17
Y1 - 2015/6/17
N2 - This paper studies the performance of hierarchical-modulation-based image and video transmission in cognitive radio systems with imperfect channel sensing results under constraints on both transmit and interference power. Data intended for transmission is first compressed via source coding techniques and then divided into two priority classes, namely high priority (HP) data and low priority (LP) data, by taking into consideration the unequal importance of bits in the output codestream. After dividing the compressed data into packets of equal size, turbo coding is applied. Finally, the resulting packets are modulated using hierarchical quadrature amplitude modulation (HQAM). In this setting, closed-form bit error probability expressions for HP data and LP data are derived over Nakagami-m fading channels in the presence of sensing errors. Subsequently, the effects of probabilities of detection and false alarm on error rate performance of cognitive transmissions are evaluated. In addition, tradeoffs between the number of retransmissions and peak signal-to-noise ratio (PSNR) quality are analyzed numerically. Moreover, performance comparisons of multimedia transmission with conventional QAM and hierarchical QAM are carried out in terms of the received data quality and number of retransmissions.
AB - This paper studies the performance of hierarchical-modulation-based image and video transmission in cognitive radio systems with imperfect channel sensing results under constraints on both transmit and interference power. Data intended for transmission is first compressed via source coding techniques and then divided into two priority classes, namely high priority (HP) data and low priority (LP) data, by taking into consideration the unequal importance of bits in the output codestream. After dividing the compressed data into packets of equal size, turbo coding is applied. Finally, the resulting packets are modulated using hierarchical quadrature amplitude modulation (HQAM). In this setting, closed-form bit error probability expressions for HP data and LP data are derived over Nakagami-m fading channels in the presence of sensing errors. Subsequently, the effects of probabilities of detection and false alarm on error rate performance of cognitive transmissions are evaluated. In addition, tradeoffs between the number of retransmissions and peak signal-to-noise ratio (PSNR) quality are analyzed numerically. Moreover, performance comparisons of multimedia transmission with conventional QAM and hierarchical QAM are carried out in terms of the received data quality and number of retransmissions.
KW - Bit error probability
KW - H.264/MPEG-4
KW - JPEG2000
KW - Nakagami-m fading channel
KW - channel sensing
KW - cognitive radio
KW - hierarchical modulation
KW - interference power constraint
KW - peak signal-to-noise ratio
KW - probability of detection
KW - probability of false alarm
KW - turbo coding
KW - unequal error protection
UR - http://www.scopus.com/inward/record.url?scp=84938718716&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938718716&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2015.7127506
DO - 10.1109/WCNC.2015.7127506
M3 - Conference contribution
AN - SCOPUS:84938718716
T3 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
SP - 417
EP - 422
BT - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Y2 - 9 March 2015 through 12 March 2015
ER -