DocumentCode
3580507
Title
Outage Performance of Underlay Cognitive Decode-and-Forward Opportunistic Relaying with Imperfect Channel State Information and Co-channel Interference
Author
Yuhua Ouyang ; Ming Zhou ; Xiangdong Jia
Author_Institution
Sch. of Math. & Phys., Lanzhou Jiaotong Univ., Lanzhou, China
fYear
2014
Firstpage
320
Lastpage
323
Abstract
The outage performance of decode-and-forward cognitive ratio opportunistic relay (DF CR-OR) systems is investigated over Rayleigh fading environments. We specially consider the case where the systems are impaired by the imperfect channel state information (CSI) between the secondary users and the primary user, and by the co-channel interference (CCI) at secondary relays and destination. We first obtain the exact closed-form expression to outage probability of cognitive systems by considering jointly the impact of the imperfect CSI and the CCI. Secondly, the presented simulation results show that the curves´ slops of outage probability are same for all different CSI or CCI. This indicates that diversity order of the interested cognitive systems is not influenced by the imperfect CSI and the CCI. At the same time, the simulated results also show that the imperfect CSI and the CCI cause the very severe loss in system outage performance even if they do not result in the loss in diversity order.
Keywords
Rayleigh channels; cochannel interference; cognitive radio; decode and forward communication; probability; relay networks (telecommunication); telecommunication network reliability; CCI; CSI; DF CR-OR system; Rayleigh fading environment; cochannel interference; imperfect channel state information; outage probability; primary user; secondary user; underlay cognitive radio decode-and-forward opportunistic relaying system; Channel state information; Equations; Interchannel interference; Interference constraints; Relays; Signal to noise ratio; cognitive radio; decode-and-forward; relay;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN
978-1-4799-6928-9
Type
conf
DOI
10.1109/CICN.2014.79
Filename
7065498
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