Self-diagnosis of cognitive relay on the joint impact of hardware impairment and channel estimation error

Abstract

Self-diagnosis and repair are the essential requirements of cognitive radio for the next generation of wireless communication. This work presents the self-diagnosis of the joint impact of the hardware impairment and channel estimation error on the cognitive relay system and derives the closed form solution for the outage probability in the presence of hardware impairment and channel estimation error. The presence of hardware impairment in the transceiver of the cognitive relay will degrade the performance which results in the system outage. The impact of the impairment in channel estimation on least square (LS) channel estimation algorithm and minimum mean square error (MMSE) algorithm is analysed. Simulated results show that the presence of hardware impairment increases channel estimation error and makes the system almost 40% outage even for the SNR of 40 dB. After self-diagnosis, a correction factor is given as a repair component which is used to mitigate the impact of impairment in channel estimation process.