Vol. 18, No. 7, July 31, 2024
10.3837/tiis.2024.07.017,
Download Paper (Free):
Abstract
In order to improve the coverage and achieve massive spectrum access, non-orthogonal multiple access (NOMA) technology is applied in millimeter wave massive multiple-input multiple-output (mMIMO) communication network. However, the power assumption of active sensors greatly limits its wide applications. Recently, Intelligent Reconfigurable Surface (IRS) technology has received wide attention due to its ability to reduce power consumption and achieve passive transmission. In this paper, spectral efficiency maximum problem in the millimeter wave mMIMO-NOMA system with IRS is considered. The sparse RF chain antenna structure is designed at the base station based on continuous phase modulation. Furthermore, a joint optimization problem for power allocation, power splitting, analog precoding and IRS reconfigurable matrices are constructed, which aim to achieve the maximum spectral efficiency of the system under the constraints of user's quality of service, minimum energy harvesting and total transmit power. A three-stage iterative algorithm is proposed to solve the above mentioned non-convex optimization problems. We obtain the local optimal solution by fixing some optimization parameters firstly, then introduce the relaxation variables to realize the global optimal solution. Simulation results show that the spectral efficiency of the proposed scheme is superior compared to the conventional system with phase shifter modulation. It is also demonstrated that IRS can effectively assist mmWave communication and improve the system spectral efficiency.
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Cite this article
[IEEE Style]
B. Ning, S. Li, X. Wu, W. Hao, "Resource allocation for Millimeter Wave mMIMO-NOMA System with IRS," KSII Transactions on Internet and Information Systems, vol. 18, no. 7, pp. 2047-2066, 2024. DOI: 10.3837/tiis.2024.07.017.
[ACM Style]
Bing Ning, Shuang Li, Xinli Wu, and Wanming Hao. 2024. Resource allocation for Millimeter Wave mMIMO-NOMA System with IRS. KSII Transactions on Internet and Information Systems, 18, 7, (2024), 2047-2066. DOI: 10.3837/tiis.2024.07.017.
[BibTeX Style]
@article{tiis:100965, title="Resource allocation for Millimeter Wave mMIMO-NOMA System with IRS", author="Bing Ning and Shuang Li and Xinli Wu and Wanming Hao and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2024.07.017}, volume={18}, number={7}, year="2024", month={July}, pages={2047-2066}}