Abstract
In this article, we study the performance of cognitive radio networks (CRN) with adaptive transmit power and energy harvesting. The secondary source
S
S
harvests power using the signal of node
A
. Then, it adapts its power to generate interference at primary destination
P
D
lower than a predefined threshold
T
. The broadcasted signal by
S
S
is reflected by intelligent reflecting surfaces
IRS
so that reflections have a zero phase at the secondary destination
S
D
. The throughput at secondary destination is derived in the absence or presence of primary interference. IRS with
N
=
8
, 16, 32 reflectors offers 20, 26 and 32 dB gain versus CRN. The use of IRS as a transmitter improves the throughput by 1 dB versus IRS employed as a reflector.