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

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:

(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. https://doi.org/10.32604/cmes.2023.025300

**Received** 04 July 2022; **Accepted** 23 August 2022; **Issue published** 05 January 2023

## Abstract

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.## Keywords

As a promising technology to achieve significant improvement in system throughput and energy efficiency, non-orthogonal multiple access (NOMA) has recently attracted growing attention for the sixth-generation (6G) communication networks [1,2]. Different from the traditional orthogonal multiple access (OMA), the main advantage of NOMA technology is that it allows multiple users to utilize the same resource and realize the correct demodulation by introducing the successive interference cancellation (SIC) technology, which can improve the utilization of spectrum resources [3]. It has been demonstrated that power domain NOMA can ensure much higher throughput in underlay cognitive radio networks than conventional OMA [4]. NOMA also can contribute significantly to improving the quality of service, which provides a balanced service comparatively for serving multiple devices [5,6]. In order to enhance the system’s performance, the integration of NOMA and cooperative communication has been proposed in [7,8]. In particular, the authors of [9] concluded that the outage behaviors and ergodic rate of cooperative NOMA systems are better compared to traditional cooperative communication. To achieve enhanced spectrum efficiency, the authors of [10,11] analyzed the outage performance of users for amplify-and-forward and decode-and-forward relays in cooperative NOMA systems.

Meanwhile, intelligent reflecting surface (IRS) is deemed as another new transmission technology for future wireless networks [12–14], which consists of numerous precisely designed arrangements of electromagnetic units, and the signal is controlled by changing the phase and amplitude of the incident wave [15]. There are some advantages of IRS: i) IRS can enrich the channel scattering conditions, enhance the system’s multiplexing gain, and improve the received signal strength [16]; ii) The lightweight and low power requirements of the IRS make it easy to deploy on various scattering surfaces in wireless propagation environment, such as buildings, roadside billboards, windows, and interior walls [17]; and iii) Unlike the traditional active relay, IRS reflects signals in full-duplex mode through passive beamforming and does not impose additional energy consumption and noise [18]. These features have attracted researchers to apply it to various new wireless communication scenarios. Specifically, the authors of [19] showed that IRS deployment could effectively improve wireless networks’ throughput, energy efficiency and coverage performance. In [20], the IRS-assisted wireless communications were introduced in an end-to-end transmission scenario, which demonstrated that deploying an IRS structure can substantially improve the pairwise error probability metric. The aforementioned works manifest that IRS yields significant performance in communication scenarios.

Inspired by the appealing advantages of IRS and NOMA, some recent works have investigated the interplay between IRS and NOMA, which can achieve enhanced massive connectivity with higher network spectral efficiency and user fairness [21–23]. The authors of [24] demonstrated that combining IRS and NOMA is an effective strategy to enhance communication coverage and energy efficiency. Furthermore, the authors of [25] proved that IRS-NOMA could achieve superior performance compared to the counterpart IRS-OMA schemes. With the help of a 1-bit coding scheme, the outage probability and ergodic rate for IRS-NOMA networks under Rayleigh fading channels have been analyzed considering the impact of perfect SIC (pSIC) and imperfect SIC (ipSIC) scenarios [26]. Moreover, in [27], the authors assessed the impact of IRS phase-shifting design on the outage probability through two-phase configurations, i.e., a random phase and coherent phase shifting. The authors of [28] minimized the transmit power of the IRS-NOMA system by optimizing the beamforming vector at base station (BS) and the phase shifters at IRS. As a further development, the interplay between IRS and NOMA is widely investigated for various technologies like unmanned aerial vehicle [29], deep reinforcement learning [30], mobile edge computing [31] and physical layer security [32]. The previous works were applied to the ideal hardware conditions.

However, it is challenging to achieve the perfect performance in practice with the existence of hardware impairments (HI), and residual interference [33,34]. Specifically, HI causes errors in the transmitted signal at the transmitter and reduces the detection quality of the received signal at the receiver [35]. Under the realistic assumptions of residual HI, channel estimation errors and ipSIC, the authors of [36] investigated the NOMA systems with an emphasis on reliability and security. In [37], the performance of full-duplex NOMA networks over Rician fading channels was described and shown the influence of ipSIC on the system is more pronounced than that of HI. The authors employed multiple relays with finite energy storage capability to assist the BS to two NOMA device users’ transmission transmission of the NOMA network in [38], and the outage probability expressions of users were derived to evaluate the system performance. Considering the IRS-assisted wireless communications, the existence of HI will affect both the source transmit beamforming and the IRS reflecting beamforming designs [39]. To compensate for the losses caused by HI, various analog and digital signal processing schemes are discussed in [40]. Despite these efforts, the HI still degrades the performance of wireless communication networks. As a further advance, the authors of [41,42] analyzed the system performance under the impact of HI at both BS and users on various NOMA and multiple input multiple output (MIMO) networks.

1.1 Motivations and Contributions

Motivated by the aforementioned observations, we study the performance of an IRS-NOMA network by incorporating signal distortions caused by HI. Until now, most of the existing research contributions for IRS-NOMA with ipSIC/pSIC over Rician fading channels have considered the optimization questions. Motivated by the observations mentioned earlier [43,44], we considered an IRS-NOMA communication system over Rician channels by incorporating signal distortions caused by HI in the transmitter and receiver. In contrast to the literature [26], we extend our analytical results from the Rayleigh channels to the more general Rician fading channels. Compared to [24], the direct communication link from the BS to the users is taken into account in this paper. This is another motivation to develop this treatise. More specifically, we investigate the performance of paired users, i.e., the user n and user f for IRS-NOMA-HI networks, in terms of outage probability and system throughput in delay-limited transmission mode. Moreover, the collective impact of HI and residual interference is also considered in the considered networks. IRS-OMA-HI is shown as a comparison benchmark for better evaluation of system performance. Against the previous works, the contributions of the current paper can be summarized as follows:

1. We derive the expressions of outage probability for the user n with ipSIC/pSIC in IRS-NOMA-HI networks over Rician fading channels. To gain the corresponding diversity order, we also derive the asymptotic outage probability expressions in the high SNR region and obtain the diversity orders of the user n with ipSIC/pSIC schemes. We observe an error floor for the outage probability of the user n with ipSIC in the high SNR regime.

2. We derive the expressions of outage probability for the user f in IRS-NOMA-HI networks. Based on the asymptotic results, the diversity orders are obtained. We further confirm that the diversity order is connected with the number of IRS elements and the Rician factor K. We also derive the exact expressions of outage probability for IRS-OMA-HI.

3. We evaluate the system throughput of IRS-NOMA-HI and IRS-OMA-HI networks in delay-limited transmission modes. We further compare the outage behaviors and system throughput of users for IRS-NOMA-HI with IRS-OMA-HI. Through extensive simulation results, it is shown that the outage performance and system throughput of IRS-NOMA-HI is superior to that of IRS-OMA-HI.

The remainder of this paper is structured as follows. In Section 2, the system model for IRS-NOMA-HI is introduced in detail. The expressions of outage probability are derived and the system throughput is studied in Section 3. Furthermore, Section 4 gives simulation results and corresponding performance analysis, followed by conclusions and future directions in Section 5.

We consider an IRS-NOMA-HI network, as depicted in Fig. 1, where one BS communicates with two users via the assistance of an IRS. The two users are classified as the nearby user n and the distant user f, which can receive both the superimposed signal from the BS and the signal reflected by IRS. To simplify the design, the BS and users are equipped with a single antenna while an IRS consists of M configurable elements. And

The BS simultaneously transmits the signals of two users by adopting superposition coding, and the user n receives both the superimposed signal from the BS and the signal reflected by IRS. Accordingly, the received signal is expressed by

where Ps denotes the normalized transmission power, nn denotes the complex additive white Gaussian noise (AWGN) sample with the mean power N0 at user n, and w is HI term and can be modeled by a complex Gaussian distributed random variable with zero mean and finite variance,

According to the NOMA principle, SIC is adopted at user n to detect the information of user f. Therefore, the received signal-to-interference-plus-noise ratio (SINR) at the user n for detecting xf is given by

where

where

With the help of IRS, the received signal at user n is given by

where nf is the AWGN at user f with the mean power N0.

The received SINR to decode xf from user f can be given by

In this subsection, the IRS-OMA-HI scheme is used as a benchmark for comparison with the NOMA scheme. The BS transmit a superimposed signal that propagates from the BS for the users through the IRS, the SINR at OMA users can be expressed as

Outage probability metrics are critical to the reliability of transmissions in 6G systems. Hence, this section evaluates the outage performance of the IRS-NOMA-HI network. Specifically, we derive the expressions of outage probability for each user in the pSIC and ipSIC scenarios. Then, we obtain the diversity orders to provide further insights into the communication performance.

3.1 Statistical Channel Characterization

In order to facilitate the derivation of outage probabilities, we characterize the statistical properties of the Rician channel in this subsection.

where

The PDF of

where

3.2 Outage Probability for IRS-NOMA-HI

In wireless communication networks, the theoretical analyses of outage probability are the crucial works, which can guide the design and performance optimization of wireless communication systems’ practical. In the next part, the outage behaviors of user n and user f for IRS-NOMA-HI networks are investigated in details. Furthermore, it is worth pointing out that implementing MRC in IRS-NOMA-HI transmission will further enhance the performance of IRS-NOMA-HI, which are set aside for our future work.

3.2.1 User n of Outage Probability

For the user n, system communication is interrupted when one of the following two events occurs. Case i) User n is unable to detect the signal xf of user f; Case ii) User n cannot decode its own signal xn after detecting xf. Thus, the outage probability of user n for RIS-NOMA-HI networks is expressed as

where

Theorem 1. The expression of outage probability for user f with ipSIC in IRS-NOMA-HI networks is approximated by

where

Proof: See Appendix A.

Corollary 1. For the particular case

where

3.2.2 User f of Outage Probability

Similarly, the outage event generates when user f fails to detect the signals, the outage probability of user f for IRS-NOMA-HI networks is expressed as

Theorem 2. Based on (13), the expression of outage probability of user f can be approximated by

where

Proof: See Appendix B.

3.3 Outage Probability for IRS-OMA-HI

For IRS-OMA-HI networks, the outage of user f and user n are defined as the probability that the instantaneous SNR is below the threshold SNR

where

where

To gain more insights, we select the diversity order to evaluate the outage behaviors in the high SINR region [45] based on the above analytical results. In the IRS-NOMA-HI networks, the diversity order is mathematically defined as

where

Corollary 2. When

where

Remark 1. Upon substituting (18) into (17), i.e.,

Corollary 3. Expanding the incomplete gamma function

Remark 2. Upon substituting (19) into (17) and after some manipulations, the diversity order for the user f with pSIC in IRS-NOMA-HI is obtained as

Corollary 4. When

Remark 3. Upon substituting (20) into (17), the diversity order of user n is equal to

Remark 4. Similar to the proof of the diversity order for IRS-NOMA-HI, the diversity order of user f and user n for IRS-OMA-HI are equal to

We plotted the diversity order of IRS-NOMA-HI and IRS-OMA-HI networks in a table, as shown in Table 1.

The system throughput metric is paramount to evaluating the reliability of the transmission in 6G systems. Next, by using the derived results of outage probability above, the delay-limited system throughput of IRS-NOMA-HI networks can be formulated by

where

In this section, we aim to confirm through Monte-Carlo simulations the accuracy of our previous mathematical analysis and illustrate the outage performance of the IRS-NOMA-HI networks. To verify the feasibility of the IRS-NOMA-HI networks, IRS-OMA-HI is shown as the comparison benchmarks, and the performance of the transmission schemes is evaluated through computer simulation. The simulation results are averaged over 106 realizations. More specifically, the parameters adopted are presented in Table 2 to highlight the performance of the proposed scheme, which is similar to many NOMA research contributions in [10,26,27]. BPCU denotes the short for a bit per channel use and the unit of normalized distance d for dimensionless physical quantity is generally taken as one. Furthermore, we show the impact of residual interference, target rate, Rician factor and IRS elements on the performance of IRS-NOMA-HI networks. It is worth pointing out that these dots

Fig.2 plots the outage probability of two users for IRS-NOMA-HI networks vs. the transmit SNR, with M = 5, K = 5,

Fig.3 illustrates the outage probability of two users for IRS-NOMA-HI networks vs. the transmit SNR, for a simulation setting with K = 5, Rn = 0.03 and Rf = 0.02 BPCU. For high values of the number of IRS elements, the outage probability for IRS-NOMA-HI gains a steeper slope and achieves enhanced outage performance. It is noted that the diversity order found in Remark 2 and Remark 3 depends on the number of IRS elements and the values of HI. This phenomenon indicates the promising integration of IRS technologies in cooperative NOMA communications. Fig.4 shows the outage probability of two users for IRS-NOMA-HI networks vs. the transmit SNR with different values of target rate. More specifically, the values of Rn are increased from 0.02 BPCU to 0.16 BPCU, and the values of Rf are increased from 0.01 BPCU to 0.12 BPCU. It can be observed that the outage probability decreases with the increase of target rate values.

Fig. 5 plots the outage probability of two users for IRS-NOMA-HI networks vs. the transmit SNR, with M = 5, K = 5 and

Fig. 7 plots the outage probability of two users for IRS-NOMA-HI networks vs. the transmit SNR, with M = 5, K = 5 and

Fig. 8 plots the curve of system throughput vs. the transmit SNR in delay-limited transmission mode, for a simulation setting with Rn = 1, Rf = 1 BPCU, M = 5 and K = 5. In this figure, the curves of system throughput with the transmit SNR in IRS-OMA-HI and IRS-NOMA-HI schemes are drawn according to (21). It can be observed from the figure that the system throughput for IRS-NOMA-HI in delay-limited transmission mode is better than that of IRS-OMA-HI. It can be explained that the system throughput depends on achieved the outage probability of users. This finding facilitates the design of IRS in wireless systems to cater to mass connections.

Although NOMA communication can raise the outage performance and capacity of the traditional OMA wireless system, the residual interference generated by ipSIC and HI imposes a detrimental effect on system performance. This paper examined the joint impact of HI and residual interference on the outage probability and system throughput for the IRS-NOMA-HI and IRS-OMA-HI networks over Rician channels. In particular, we derived the exact and asymptotic expressions of outage probability in both pSIC and ipSIC cases and analyzed the diversity orders to evaluate their performance under various scenarios. Based on the numerical results, it illustrated that the outage performance and system throughput of IRS-NOMA-HI outperformed that of IRS-OMA-HI networks, which can be a promising candidate for future systems. It is recommended that more efforts should be made to suppress the effects of HI and residual interference when deploying IRS-NOMA-HI networks in realistic scenarios.

Funding Statement: This work was supported by the National Natural Science Foundation of China under Grants 62071052, 61901043 and the

Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.

1Note that multiple antennas equipped by the BS and users will further suppress the self-interference and enhance the performance of the IRS-NOMA networks, which are set aside for our future work.

2It is worth noting that the nearby user and distant user are distinguished based on the distance from the users to BS. For example, user n are near to BS, while user f are far away from BS.

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Appendix A. Proof of Theorem 1

According to the definition of outage probability, the outage probability of user n for IRS-NOMA-HI networks can be expressed by

where

By using the Gauss-Chebyshev quadrature [46], the complex definite integral in the above equation can be approximated as

where

Appendix B. Proof of Theorem 2

Base on (13), the outage probability of user f for IRS-NOMA-HI networks can be rewritten as

where

By using the Gauss-Chebyshev quadrature, the outage probability of user n for IRS-NOMA-HI networks can be finally expressed as

## Cite This Article

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*Computer Modeling in Engineering & Sciences*,

*136*

*(1)*, 767-785. https://doi.org/10.32604/cmes.2023.025300

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*Comput. Model. Eng. Sci.*, vol. 136, no. 1, pp. 767-785. 2023. https://doi.org/10.32604/cmes.2023.025300

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