| Summary: | This paper incorporates interference cancellation in the outage analysis of a wireless energy
harvesting cognitive relay network. Based on an interference threshold, primary receivers are assumed to
be able to cancel a fraction of the strongest interferers in the primary network which often dominates the
total interference. To achieve this, the coefficient of cancellation is adapted into the analysis to reduce the
level of interference. The rationale is to improve the successful transmission probability of the primary
network by cancelling interference at its receivers. Interestingly, this reduces the overhead incurred by the
secondary network to guarantee the primary outage constraint. In this work, the optimal relay selection
range is derived and deployed to minimize the secondary outage probability. Analytical results show that
this approach can be used to significantly reduce the secondary outage probability which in turn improves
the network performance. However, this is at the cost of reducing the energy harvesting success probability
of the relays within the secondary network.
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