App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 4

Beamforming design in modular XL-MIMO-enabled hybrid near-far mixed field NOMA communication systems for Internet of Things

Liang Yisheng
Xie Zhili
Zhang Guangchi
Cui Miao
Fu Hao
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2025.09.0306

Abstract

The Internet of Things (IoT) communication systems face severe challenges of limited spectrum resources and multi-node interference, which degrade overall system performance. Modular extremely large-scale multiple-input multiple-output (XL-MIMO) technology enhances spatial resolution through a larger array aperture, while non-orthogonal multiple access (NOMA) improves spectral efficiency via power-domain multiplexing. Combining both approaches is considered an effective solution to these challenges. However, in XL-MIMO systems, the coexistence of near-field spherical and far-field planar wave propagation leads to highly non-uniform spatial channel correlation, exacerbating inter-node interference. This work considered a modular XL-MIMO near-field and far-field NOMA downlink communication system. To mitigate interference and enhance communication performance under minimum rate constraints for near-field and far-field nodes, a beamforming design was investigated. A sum-rate maximization algorithm for network nodes under a total transmit power constraint was proposed. To reduce optimization complexity, a simplified beamforming design leveraging the power-domain multiplexing feature of NOMA was further developed. Simulation results demonstrate that the proposed algorithm achieves a significantly higher network sum-rate than existing baseline schemes. The results also indicate that near-field and far-field NOMA effectively coordinates channel disparities between near-field and far-field regions, improving spectral efficiency while ensuring node fairness.

Foundation Support

广东省基础与应用基础研究基金资助项目(2023A1515011980,2023A1515140003)
广东省科技计划项目(2022A0505050023)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.09.0306
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 4

Publish History

[2025-12-18] Accepted Paper

Cite This Article

梁艺昇, 谢志立, 张广驰, 等. 面向物联网的模块化XL-MIMO近远场NOMA通信的波束赋形设计 [J]. 计算机应用研究, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0306. (Liang Yisheng, Xie Zhili, Zhang Guangchi, et al. Beamforming design in modular XL-MIMO-enabled hybrid near-far mixed field NOMA communication systems for Internet of Things [J]. Application Research of Computers, 2026, 43 (4). (2025-12-19). https://doi.org/10.19734/j.issn.1001-3695.2025.09.0306. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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