On the performance of cooperative NOMA Using MRC at road intersections in the presence of interference

Belmekki, Baha Eddine Youcef; Hamza, Abdelkrim; Escrig, Benoît

doi:10.1016/j.phycom.2021.101321

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…In 2021 Belmekki, B.E.Y., et al, [17] suggested a maximum ratio combining (MRC) in cooperative VCs transmission systems at road crossings with NOMA. Based on our findings, we determined that using MRC and NOMA is always helpful, even if it means adding complexity to the implementation.…”

Section: Literature Reviewmentioning

confidence: 99%

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

2024

Informacije MIDEM

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NOMA techniques have attracted much attention due to their ability to support massive connectivity, heterogeneous data traffic, and ultra-low latency requirements, making them ideal for next-generation wireless communication networks. In this paper proposed a novel Hexa CNN for NOMA Rician channel estimator using Hexagonal Quadrature Amplitude Modulation for signal detection and channel estimation (Hexa-QAM). Conventional OFDM-NOMA with HQAM is utilized at the transmitter (tx) side as pilot symbols which inserted to OFDM-NOMA signals to employs the channel estimation (CE) and signal detection advantages of OFDM. Three pilot insertion types Comp, Block, and Hexa were used in the proposed model. The proposed Hexa-QAM can detect the symbols for all users without additional operations based on pilot responses and data signals. However, Hexa CNN is used at the receiver to accomplish a joint flexible signal detection. The Hexagonal Quadrature Amplitude Modulation (Hexa CNN) achieves much better error performance than similar detectors. The Energy Efficiency of the proposed Hexa-QAM technique is 17%, 18%, 23.2%, 23% and 28% better than existing techniques. The accuracy of the proposed technique can be as high as 99.95%, while that of traditional models like the OMA-NOMA, MRC, PD-NOMA and UR-NOMA is 84.9%, 87.58%, and 93.91%, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

2024

Informacije MIDEM

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“…From the above literature, the techniques and analysis that have been used to improve system performance of CR-NOMA have predominantly been restricted to only CBSM [62][63][64][65][66][67][68][69][70][71][72][73][74][75][76]. CBSM is basically used for theoretical analysis and has less accuracy for real-world mMIMO systems due to the nonstationary phenomenon and spherical effects [17,89].…”

Section: Motivationmentioning

confidence: 99%

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

et al. 2022

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The potential of the Non-Orthogonal Multiple Access (NOMA) approach for wireless communications in the fifth generation (5G) and beyond can not be underestimated. This is because users with favorable channel conditions can serve as relays to improve system performance by employing Successive Interference Cancellation (SIC). Lately, the combination of NOMA and the cooperative relay has attracted the interest of researchers. The analysis of cooperative relay NOMA (CR-NOMA) with a massive multiple-input multiple-output (mMIMO) system is mainly based on theoretical channel models such as the correlated-based stochastic channel model (CBSM) even though the geometric-based stochastic channel model (GBSM) has been found to provide better, practical and realistic channel properties. This, in our view, is due to computational challenges. Again, the performance of CR-NOMA systems using the GBSM channel model with large antenna transmitters and network coding schemes has attracted little attention in academia. Therefore, the need to study mMIMO CR-NOMA that considers channel properties such as path-loss, delay profile and tilt angle has become vital. Furthermore, the co-existing of large antenna transmitters with coding schemes needs further investigation. In this paper, we study the performance of a two-stage mMIMO CR-NOMA network where the transmitter is represented as a uniform rectangular array (URA) or cylindrical array (CA). The communication channel from the transmitter (TX) to the user equipment (UE) through a relay station (RS) is modeled with a 3GPP’s three-dimensional (3D) GBSM mMIMO channel model. To improve the analytical tractability of 3D GBSM, we defined the antenna element location vectors using the physical dimension of the antenna array and incorporated them into the 3D channel model. Bit-error rates, achievable rates and outage probabilities (OP) are examined using amplify-and-forward (AF) and decode-and-forward (DF) coding schemes. Results obtained show with fixed power allocation and SNR of 20 dB, far or weak users can attain a high achievable rate using DF and URA. Again, from the results, the combination of AF and CA presents better outage probabilities. Finally, the results indicate that the performance difference between CBSM and GBSM is marginal, even though the proposed 3D GBSM channel model has a higher degree of random parameters and computational complexities.

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“…The theoretical analysis of outage probability over Nakagami‐ m fading channel is conducted inToka and Kucur 27 ; the author utilizes maximum ratio transmission (MRT)/receive antenna selection (RAS) selection criterion, CEE, and imperfect SIC. The performance of cooperative NOMA MRC is compared with standard cooperative NOMA in Belmekki et al, 28 and it shows that MRC assisted NOMA offers a significant improvement over the conventional cooperative NOMA and also cooperative OMA system. The outage analysis and sum rate is presented in Sharma et al, 29 considering diversity combining techniques such as MRC, equal gain combining (EGC), and selection combining (SC) over

η - μ

fading for a multiuser DL‐NOMA system.…”

Section: Introductionmentioning

confidence: 99%

Performance of NOMA‐assisted MRC receivers in presence of imperfect SIC and CSI errors

Soni

Jain

Rawal

et al. 2022

Int J Communication

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Summary In this paper, we analyze the performance of maximum‐ratio combining (MRC) receivers for single‐input multiple‐output (SIMO) non‐orthogonal multiple access (NOMA) system. We explore the aforesaid system performance in presence of impairments like imperfect channel state information (CSI) and successive interference cancellation (SIC) errors. In general, receive diversity provides diversity gain and helps to maintain quality of service (QoS), while the NOMA system achieves higher spectral efficiency compared to orthogonal multiple access (OMA). Power‐domain NOMA system transmits superimposed‐coded signal, which utilize SIC detection method at the receiving users. Here, we derive the closed‐form expression of the average bit error rate (BER) for the MRC‐based NOMA system. We also analyze the performance of the system in high signal‐to‐noise ratio (SNR) regime through derived asymptotic expression. Furthermore, the outage probability, diversity order, and sum rate comparison between NOMA and OMA system are also presented. Simulation results also validate the derived theoretical expressions and confirm the diversity gain achieved for the considered system.

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On the performance of cooperative NOMA Using MRC at road intersections in the presence of interference

Cited by 4 publications

References 28 publications

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

Hexagonal Convolutional Neural Network for Noma Rician Channel Estimator using Hexagonal Quadrature Amplitude Modulation

Performance of Cooperative Relay NOMA with Large Antenna Transmitters

Performance of NOMA‐assisted MRC receivers in presence of imperfect SIC and CSI errors

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