journal article Open Access Apr 05, 2026

NOMA-Based Interference-Limited Power Allocation for Next-Generation Cellular Networks

Electronics Vol. 15 No. 7 pp. 1522 · MDPI AG
View at Publisher Save 10.3390/electronics15071522
Abstract
Non-orthogonal multiple access (NOMA) has become one of the main enabling technologies for next-generation cellular networks. The ability to allocate multiple users on the same frequency resources simultaneously leads to improved spectral efficiency. This paper examines power allocation and user pairing for NOMA networks with an objective to enhance the sum spectral efficiency (sum capacity, bps/Hz) while guaranteeing the target rate of the far user. Two benchmark methods were used to evaluate the performance of the proposed scheme: (1) fixed power allocation, in which fixed power coefficients are allocated to the near and far users, and (2) random power allocation, where random coefficients are assigned to the users. However, these static methods fail to adapt to instantaneous channel conditions and may lead to reduced performance for the weak user and inefficient power utilization. To manage these limitations, a novel interference-limited power allocation (IL-PA) scheme is proposed. In the IL-PA, the power allocation coefficients are dynamically allocated to users according to an interference threshold. The proposed scheme guarantees that the interference induced by the near user does not exceed a predefined interference threshold; thus, the target rate of the far user is achieved. The proposed interference threshold is derived theoretically to enhance the overall system capacity and optimize the signal-to-interference-plus-noise ratio (SINR). Additionally, a user pairing scheme, which separates users into two groups according to their channel gains, is proposed to reduce complexity while preserving good performance. The simulation results show that the proposed power allocation and user pairing scheme outperforms the benchmark methods in terms of overall capacity.
Topics

No keywords indexed for this article. Browse by subject →

References
28
[1]
Piovesan "A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning" IEEE Commun. Surv. Tutor. (2022) 10.1109/comst.2022.3142532
[2]
On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

Cheng-Xiang Wang, Xiaohu You, Xiqi Gao et al.

IEEE Communications Surveys & Tutorials 2023 10.1109/comst.2023.3249835
[3]
Siddiky, M.N.A., Rahman, M.E., Uzzal, M.S., and Kabir, H.M.D. (2025). A Comprehensive Exploration of 6G Wireless Communication Technologies. Computers, 14. 10.3390/computers14010015
[4]
Ebrahimi "Resource Management From Single-Domain 5G to End-to-End 6G Network Slicing: A Survey" IEEE Commun. Surv. Tutor. (2024) 10.1109/comst.2024.3390613
[5]
Shah "Survey and Performance Evaluation of Multiple Access Schemes for Next-Generation Wireless Communication Systems" IEEE Access (2021) 10.1109/access.2021.3104509
[6]
Liu "Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G" IEEE J. Sel. Areas Commun. (2022) 10.1109/jsac.2022.3145234
[7]
Tao "A survey: Several technologies of non-orthogonal transmission for 5G" China Commun. (2015) 10.1109/cc.2015.7315054
[8]
Zhao, X., Zhang, H., Sun, J., and Zou, J. (2022). Power Allocation Strategy Based on Approximation Bound in High-dimensional Modulation Superposition NOMA. Proceedings of the 2022 International Symposium on Networks, Computers and Communications (ISNCC), IEEE. 10.1109/isncc55209.2022.9851802
[9]
Islam "Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges" IEEE Commun. Surv. Tutor. (2017) 10.1109/comst.2016.2621116
[10]
Thakre, P.N., and Pokle, S.B. (2022). A survey on Power Allocation in PD-NOMA for 5G Wireless Communication Systems. Proceedings of the 2022 10th International Conference on Emerging Trends in Engineering and Technology—Signal and Information Processing (ICETET-SIP-22), IEEE. 10.1109/icetet-sip-2254415.2022.9791576
[11]
Hassan, M., Singh, M., Hamid, K., Saeed, R., Abdelhaq, M., Alsaqour, R., and Odeh, N. (2023). Enhancing NOMA’s Spectrum Efficiency in a 5G Network through Cooperative Spectrum Sharing. Electronics, 12. 10.3390/electronics12040815
[12]
Miuccio "Joint Control of Random Access and Dynamic Uplink Resource Dimensioning for Massive MTC in 5G NR Based on SCMA" IEEE Internet Things J. (2020) 10.1109/jiot.2020.2974402
[13]
Zhang, S., Li, L., Yin, J., Liang, W., Li, X., Chen, W., and Han, Z. (2018). A Dynamic Power Allocation Scheme in Power-Domain NOMA using Actor-Critic Reinforcement Learning. Proceedings of the 2018 IEEE/CIC International Conference on Communications in China (ICCC), IEEE. 10.1109/iccchina.2018.8641248
[14]
Saetan, W., and Thipchaksurat, S. (2019). Power Allocation for Sum Rate Maximization in 5G NOMA System with Imperfect SIC: A Deep Learning Approach. Proceedings of the 2019 4th International Conference on Information Technology (InCIT), IEEE. 10.1109/incit.2019.8911864
[15]
Chinnadurai, S., Selvaprabhu, P., and Lee, M.H. (2017). A novel joint user pairing and dynamic power allocation scheme in MIMO-NOMA system. Proceedings of the 2017 International Conference on Information and Communication Technology Convergence (ICTC), IEEE. 10.1109/ictc.2017.8190822
[16]
Al-Abbasi, Z.Q., and So, D.K.C. (2016). User-Pairing Based Non-Orthogonal Multiple Access (NOMA) System. Proceedings of the 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), IEEE. 10.1109/vtcspring.2016.7504524
[17]
Liu, F., Mähönen, P., and Petrova, M. (2015). Proportional fairness-based user pairing and power allocation for non-orthogonal multiple access. Proceedings of the 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), IEEE. 10.1109/pimrc.2015.7343467
[18]
Tang "Power allocation optimization and location deployment strategy of STAR-RIS based on DDPG" Proceedings of the 2025 IEEE 8th Information Technology and Mechatronics Engineering Conference (ITOEC) (2025) 10.1109/itoec63606.2025.10967673
[19]
Shahjalal, M., Rahman, M.H., Ali, M.O., Chung, B., and Jang, Y.M. (2021). User Clustering Techniques for Massive MIMO-NOMA Enabled mmWave/THz Communications in 6G. Proceedings of the 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN), IEEE. 10.1109/icufn49451.2021.9528659
[20]
Zheng, S.Y., Miao, X.W., Torkaman, P., Feng, K.M., and Yang, S.H. (2024). Broadening Non-Orthogonal Multiple Access (NOMA) Application In 6G Radio-Over-Fiber (RoF) Terahertz Communication System. Proceedings of the 2024 49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), IEEE. 10.1109/irmmw-thz60956.2024.10697789
[21]
Xie, W., Ding, X., Cai, B., Li, X., and Wei, M. (2022). Downlink MIMO-NOMA System for 6G Internet of Things. Electronics, 11. 10.3390/electronics11193233
[22]
Al-Dulaimi, O.M.K., Al-Dulaimi, A.M.K., Alexandra, M.O., and Al-Dulaimi, M.K.H. (2023). Strategy for Non-Orthogonal Multiple Access and Performance in 5G and 6G Networks. Sensors, 23. 10.3390/s23031705
[23]
Choi, J. (2017). NOMA: Principles and recent results. Proceedings of the 2017 International Symposium on Wireless Communication Systems (ISWCS), IEEE. 10.1109/iswcs.2017.8108138
[24]
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends

Zhiguo Ding, Xianfu Lei, George K. Karagiannidis et al.

IEEE Journal on Selected Areas in Communications 2017 10.1109/jsac.2017.2725519
[25]
Chung "Correlated Superposition Coding: Lossless Two-User NOMA Implementation Without SIC Under User-Fairness" IEEE Wirel. Commun. Lett. (2021) 10.1109/lwc.2021.3089996
[26]
Qamar, F., Kazmi, S.H.A., Hassan, R., and Hindia, M.N. (2022). Successive Interference Cancellation for Ultra-Dense 5G Heterogeneous Network. Proceedings of the 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE. 10.1109/ispacs57703.2022.10082829
[27]
Qu, L., He, J., and Assi, C. (2014). Understanding the benefits of successive interference cancellation in multi-rate multi-hop wireless networks. Proceedings of the 2014 IEEE International Conference on Communications (ICC), IEEE. 10.1109/icc.2014.6883344
[28]
Goldsmith, A. (2005). Wireless Communications, Cambridge University Press. 10.1017/cbo9780511841224
Metrics
0
Citations
28
References
Details
Published
Apr 05, 2026
Vol/Issue
15(7)
Pages
1522
License
View
Cite This Article
Aysha Ebrahim (2026). NOMA-Based Interference-Limited Power Allocation for Next-Generation Cellular Networks. Electronics, 15(7), 1522. https://doi.org/10.3390/electronics15071522
Related

You May Also Like

Machine Learning Interpretability: A Survey on Methods and Metrics

Diogo V. Carvalho, Eduardo M. Pereira · 2019

1,384 citations

The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

Mohiuddin Ahmed, Raihan Seraj · 2020

1,342 citations

Sentiment Analysis Based on Deep Learning: A Comparative Study

Nhan Cach Dang, María N. Moreno-García · 2020

550 citations