@Article{cmes.2020.010778,
AUTHOR = {Yinghua Zhang, Jian Liu, Yunfeng Peng, Yanfang Dong, Changming Zhao},
TITLE = {Performance Analysis of Intelligent CR-NOMA Model for Industrial IoT Communications},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {125},
YEAR = {2020},
NUMBER = {1},
PAGES = {239--257},
URL = {http://www.techscience.com/CMES/v125n1/40215},
ISSN = {1526-1506},
ABSTRACT = {Aiming for ultra-reliable low-latency wireless communications required
in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This
system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of
the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information
(CSI) is acquired, so the base station (BS) is oblivious of the interference, and
b) when the BS is aware of the PU interference, and the NOMA transmission
is adapted to the more comprehensive knowledge of the signal to interference plus
noise ratio (SINR). These results are verified by simulations, and their good agreement suggests our calculations can be used to reduce the complexity of future analysis. We find the outage probability is reduced when the SUs move further away
from the primary transmitter or when the signal from PU is less powerful, and the
BS always has better performance when it is aware of the interference. The findings thus emphasize the importance of monitoring the channel quality and realtime feedback to optimize the performance of CR-NOMA system.},
DOI = {10.32604/cmes.2020.010778}
}