Performance analysis: DF cognitive network with transceiver imperfections
Dang Khoa Nguyen, Tu Thanh Lam, Hiroshi Ochi · 2014 48th Asilomar Conference on Signals, Systems and Computers · 2014
In this paper, we comprehensively analyze the outage performance of dual-hop decode-and-forward (DF) cognitive network subject to independent non-identical distributed Rayleigh fading with the presence of hardware impairment level in the model of transceiver nodes of DF network. Closed-form expressions of exact and asymptotic of outage probability of the DF cognitive network are derived. A numerical simulation study is showed to corroborate our analysis results. Thereby, we found that hardware impairment level sharply impact outage performance of DF cognitive network. The influence of this factor is small at the low transmit power but the bad effect is higher when transmission power is increased. Using the practical range of hardware impairment specified in 3GPP LTE [1], outage probability of the system is raised by 30% corresponding the increasing of hardware impairment level from 0.08 to 0.175.