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Exploiting the Direct Link in IRS Assisted NOMA Networks with Hardware Impairments

Ziwei Liu1, Xinwei Yue1,*, Shuo Chen1, Xuliang Liu2, Yafei Wang1, Wanwei Tang3

1 Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing, 100101, China
2 The Party Committee Office, Yellow River Conservancy Technical Institute, Kaifeng, 475001, China
3 Tangshan University, Tangshan, 063000, China

* Corresponding Author: Xinwei Yue. Email: email

(This article belongs to the Special Issue: Recent Advances in Backscatter and Intelligent Reflecting Surface Communications for 6G-enabled Internet of Things Networks)

Computer Modeling in Engineering & Sciences 2023, 136(1), 767-785.


Hardware impairments (HI) are always present in low-cost wireless devices. This paper investigates the outage behaviors of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) networks by taking into account the impact of HI. Specifically, we derive the approximate and asymptotic expressions of the outage probability for the IRS-NOMA-HI networks. Based on the asymptotic results, the diversity orders under perfect self-interference cancellation and imperfect self-interference cancellation scenarios are obtained to evaluate the performance of the considered network. In addition, the system throughput of IRS-NOMA-HI is discussed in delay-limited mode. The obtained results are provided to verify the accuracy of the theoretical analyses and reveal that: 1) The outage performance and system throughput for IRS-NOMA-HI outperforms that of the IRS-assisted orthogonal multiple access-HI (IRS-OMA-HI) networks; 2) The number of IRS elements, the pass loss factors, the Rician factors, and the value of HI are pivotal to enhancing the performance of IRS-NOMA-HI networks; and 3) It is recommended that effective methods of reducing HI should be used to ensure system performance, in addition to self-interference cancellation techniques.


Cite This Article

APA Style
Liu, Z., Yue, X., Chen, S., Liu, X., Wang, Y. et al. (2023). Exploiting the direct link in IRS assisted NOMA networks with hardware impairments. Computer Modeling in Engineering & Sciences, 136(1), 767-785.
Vancouver Style
Liu Z, Yue X, Chen S, Liu X, Wang Y, Tang W. Exploiting the direct link in IRS assisted NOMA networks with hardware impairments. Comput Model Eng Sci. 2023;136(1):767-785
IEEE Style
Z. Liu, X. Yue, S. Chen, X. Liu, Y. Wang, and W. Tang "Exploiting the Direct Link in IRS Assisted NOMA Networks with Hardware Impairments," Comput. Model. Eng. Sci., vol. 136, no. 1, pp. 767-785. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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