Research on resource allocation of IRS-assisted NOMA system
DOI:
https://doi.org/10.54097/cpl.v11i2.12808Keywords:
Intelligent reflect surface; Non-orthogonal multiple access; Power allocation; Phase shift optimization.Abstract
The transmission scheme of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) downlink multi-cluster system is studied. In this paper, the non-convex optimization problem of maximizing the sum rate of each cluster of users is solved by jointly optimizing the successive interference cancellation (SIC) decoding sequence, power allocation and IRS phase shift, while considering the quality of service of each user. Firstly, the SIC decoding order is determined according to the difference of the combined channel gain. Then, the optimization problem is decoupled into two sub-problems, and the Lagrange function is alternately used for power allocation and semidefinite relaxation (SDR) for phase shift optimization until the optimization objective converges. The simulation results show that compared with other transmission schemes of IRS-NOMA system, the proposed optimization scheme can significantly improve the sum rate of the system.
References
Pan C, Zhou G, Zhi K, et al. An overview of signal processing techniques for RIS/IRS-aided wireless systems. IEEE Journal of Selected Topics in Signal Processing, 2022
Peng Z, Li T, Pan C, et al. Analysis and optimization for RIS-aided multi-pair communications relying on statistical CSI. IEEE Transactions on Vehicular Technology, 2021, 70(4): 3897-3901.
Wu Q, Zhang S, Zheng B, et al. Intelligent reflecting surface-aided wireless communications: A tutorial. IEEE Transactions on Communications, 2021, 69(5): 3313-3351.
Di Renzo M, Zappone A, Debbah M, et al. Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead. IEEE journal on selected areas in communications, 2020, 38(11): 2450-2525.
Liu Y, Qin Z, Elkashlan M, et al. Non-orthogonal multiple access for 5G and beyond. Proceedings of the IEEE, 2017, 105(12): 2347-2381.
Ding Z, Yang Z, Fan P, et al. On the performance of non-orthogonal multiple access in 5G systems with randomly deployed users. IEEE signal processing letters, 2014, 21(12): 1501-1505.
Vaezi M, Schober R, Ding Z, et al. Non-orthogonal multiple access: Common myths and critical questions. IEEE Wireless Communications, 2019, 26(5): 174-180.
Ding Z, Ding Z. X. lei, G. k. Karagiannidis, R. Schober, J. Yuan, VK Bhargava,‘‘A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends,’’. IEEE J. Sel. Areas Commun, 2017, 35(10): 2181-2195.
Fang F, Cheng J, Ding Z, et al. Energy efficient resource optimization for a downlink NOMA heterogeneous small-cell network//2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2018: 51-55.
Zhang Y, Wang H M, Zheng T X, et al. Energy-efficient transmission design in non-orthogonal multiple access. IEEE Transactions on Vehicular Technology, 2016, 66(3): 2852-2857.
Zeng M, Li X, Li G, et al. Sum rate maximization for IRS-assisted uplink NOMA. IEEE Communications Letters, 2020, 25(1): 234-238.
Fu M, Zhou Y, Shi Y. Intelligent reflecting surface for downlink non-orthogonal multiple access networks//2019 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019: 1-6.
Yang G, Xu X, Liang Y C. Intelligent reflecting surface assisted non-orthogonal multiple access//2020 IEEE wireless communications and networking conference (WCNC). IEEE, 2020: 1-6.
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