Open Access

ARTICLE

Performance Analysis of Intelligent CR-NOMA Model for Industrial IoT Communications

Yinghua Zhang^1,2, Jian Liu¹, Yunfeng Peng¹, Yanfang Dong², Changming Zhao^3,*

1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China
2 Dawning Information Industry Co., Ltd., Beijing, 100193, China
3 School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China

* Corresponding Author: Changming Zhao. Email:

(This article belongs to the Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)

Computer Modeling in Engineering & Sciences 2020, 125(1), 239-257. https://doi.org/10.32604/cmes.2020.010778

Received 01 April 2020; Accepted 03 May 2020; Issue published 18 September 2020

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.

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Keywords

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