TY - GEN
T1 - Outage performance of cognitive radio systems with Improper Gaussian signaling
AU - Amin, Osama
AU - Abediseid, Walid
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/10/1
Y1 - 2015/10/1
N2 - Improper Gaussian signaling has proved its ability to improve the achievable rate of the systems that suffer from interference compared with proper Gaussian signaling. In this paper, we first study impact of improper Gaussian signaling on the performance of the cognitive radio system by analyzing the outage probability of both the primary user (PU) and the secondary user (SU). We derive exact expression of the SU outage probability and upper and lower bounds for the PU outage probability. Then, we design the SU signal by adjusting its transmitted power and the circularity coefficient to minimize the SU outage probability while maintaining a certain PU quality-of-service. Finally, we evaluate the proposed bounds and adaptive algorithms by numerical results.
AB - Improper Gaussian signaling has proved its ability to improve the achievable rate of the systems that suffer from interference compared with proper Gaussian signaling. In this paper, we first study impact of improper Gaussian signaling on the performance of the cognitive radio system by analyzing the outage probability of both the primary user (PU) and the secondary user (SU). We derive exact expression of the SU outage probability and upper and lower bounds for the PU outage probability. Then, we design the SU signal by adjusting its transmitted power and the circularity coefficient to minimize the SU outage probability while maintaining a certain PU quality-of-service. Finally, we evaluate the proposed bounds and adaptive algorithms by numerical results.
UR - http://hdl.handle.net/10754/579495
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7282776
UR - http://www.scopus.com/inward/record.url?scp=84969855958&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2015.7282776
DO - 10.1109/ISIT.2015.7282776
M3 - Conference contribution
SN - 9781467377041
SP - 1851
EP - 1855
BT - 2015 IEEE International Symposium on Information Theory (ISIT)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -