Abstract
In this paper, we derive the throughput of cognitive radio networks (CRN) where the secondary source
S
S
harvests energy and adapts its power to generate an interference at primary destination
P
D
less than
T
.
S
S
transmits a linear combination of symbols to
K
nonorthogonal multiple access (NOMA) users. Intelligent reflecting surfaces (IRS) are placed between the secondary source and NOMA users. A set
I
i
of reflectors of IRS is dedicated to user
U
i
so that all reflections are in phase at
U
i
. We derive the throughput at each user and the total throughput when IRS are used in CRN-NOMA. We optimize the NOMA powers as well as the harvesting duration
α
. When
N
i
=
8
,
32
reflectors per user are employed, we obtain 24 and 41 dB gain with respect to CRN-NOMA with adaptive transmit power, energy harvesting and without IRS.